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Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback quality closed-loop data query. Functional process: EPSFB fallback quality closed-loop data list query. Sub-process description: read the EPSFB fallback quality closed-loop data list information. Data movement type: R. Data group: EPSFB fallback quality closed-loop data list information. Data attributes: index deterioration value (17 points), index deterioration value (6 points), EPSFB fallback success rate, index normal value (0 points), EPSFB final call fallback success rate, EPSFB fallback quality closed loop, index deterioration value (8 points), indicator degradation value (21 points), EPSFB average delay, and index normal value (13 points).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB call quality closed-loop data export. Functional process: EPSFB call quality quality closed-loop data export. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data table generation. Functional process: 5G message user & terminal early warning data table generation (GP business library). Sub-process description: Generate 5G message user & terminal early warning data table. Data movement type: W. Data group: 5G message user & terminal early warning data table. Data attributes: 5G message terminal growth rate, Pager Mode message sending success rate (group sending), 5G message terminal number, Pager Mode message sending success rate (P2P), UP2.4 terminal 5G message user number, UP2.4 terminal 5G message terminal Number, UP2.4 terminal 5G message user growth rate, 5G message user & terminal early warning, UP2.4 terminal 5G message terminal growth rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR connected quality closed-loop data table is generated. Functional process: VONR connection quality closed-loop data table generation (GP business library). Sub-process description: Generate VONR connection quality closed-loop exception data log and write. Data movement type: W. Data group: VONR connected quality closed-loop exception data log. Data attributes: error code, error description, VONR connected quality closed-loop exception source data information.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: Analysis data query of low-quality terminal delay index factors. Functional process: Query the details of the analysis data of the delay index factors of poor-quality terminals. Sub-process description: Read the detailed data of the terminal delay index factor analysis of poor quality terminals. Data movement type: R. Data group: Detailed data of analysis of factors of delay indicators of poor quality terminals. Data attributes: city factors, voice uplink average delay (RTCP), initial registration average delay, user factors, analysis of poor-quality terminal delay index factors, average registration delay, number of poor-quality indicators, wireless network factors, conclusions, Terminal model, proportion of poor quality indicators.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: VONR indicator closed-loop analysis data query. Functional process: Query the details of VONR indicator closed-loop analysis data. Sub-process description: Output the detailed query results of VONR indicator closed-loop analysis data. Data movement type: X. Data group: VONR index closed-loop analysis data detailed query results. Data attributes: index normal days, deterioration index name, deterioration index description, index deterioration period number, VONR index closed-loop analysis, VoNR initial registration success rate, index compliance rate, index normal period number, month, percentage of index deterioration days in this month, The proportion of the index deterioration period in this month.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data is added. Function process: UP2.4 terminal P2P SMS prediction rule configuration data is added. Sub-process description: Return the new result of configuration data of UP2.4 terminal P2P SMS prediction rules. Data movement type: X. Data group: UP2.4 terminal P2P SMS prediction rule configuration data newly added results. Data attributes: whether the new result is successful, and the new time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, call auxiliary delay statistics. Trigger event: N11 interface delay data query. Functional process: Query the details of the delay data of the N11 interface. Sub-process description: output the query result of the N11 interface delay data details. Data movement type: X. Data group: N11 interface delay data details query results. Data attributes: ReleaseSMContext request times, ReleaseSMContext success total delay, N1N2MessageTransfer success times, N1N2MessageTransfer success total delay, UpdateSMContext success times, N11 interface delay, UpdateSMContext success total delay, N1N2MessageTransfer request times, CreateSMContext success times, ReleaseSMContext success times, CreateSMContext request times.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data query. Functional process: query IMS domain delay index data list. Sub-process description: Read the IMS domain delay index data list information. Data movement type: R. Data group: IMS domain latency index data list information. Data attributes: IMS domain delay index, IMS forwarding and called paging total delay (VNR2VNR), IMS domain total delay measurement times (VoNR), IMS domain total delay (VNR2VNR), IMS domain delay (VNR2VNR) , IMS forwarding and called paging total delay measurement times (VNR2VNR), called response total delay (VNR2VNR), IMS forwarding and called paging delay (VoNR), IMS forwarding and called paging total delay (VoNR), the number of total callee response delay measurements (VNR2VNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicator warning data deletion. Functional process: VONR voice indicator warning data deletion. Sub-process description: read VONR voice indicator warning data. Data movement type: R. Data group: VONR voice indicators early warning data. Data attributes: success rate of VONR voice fallback, VONR voice index warning, growth rate of VONR registered users, number of VONR registered users, average delay of VONR voice fallback, VONR voice call completion rate, VONR voice call drop rate, VONR voice call duration Growth rate, success rate of VONR voice switching, growth rate of VONR active users, number of VONR active users.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: The core network latency index data table is generated. Functional process: Generation of core network delay index data table (GP service library). Sub-process description: Generate core network latency indicator exception data log and write. Data movement type: W. Data group: abnormal data log of core network latency indicators. Data attributes: error code, error description, core network delay index abnormal source data information.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: generation of on-delay index data table. Functional process: connect delay index data statistics (HBASE library). Sub-process description: read the on-delay index data. Data movement type: R. Data group: on-delay index data. Data attributes: total connection delay (VNR2VNR), total wireless delay measurement times (VoNR), total connection delay (VoNR), total connection delay measurement times (VNR2VNR), wireless delay (VoNR), wireless Delay (VNR2VNR), total wireless delay (VNR2VNR), total connection delay measurement times (VoNR), connection delay index.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data query. Functional process: 5G message user & terminal early warning data list query. Sub-process description: output the query result of 5G message user & terminal early warning data list. Data movement type: X. Data group: query result of 5G message user & terminal early warning data list. Data attributes: Initial registration success rate, UP2.4 terminal 5G message user growth rate, 5G message user & terminal warning, 5G message terminal growth rate, 5G message user growth rate, Pager Mode message sending success rate (P2P), Pager Mode message Sending success rate (group sending), the number of UP2.4 terminal 5G message terminals.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: Chatbot poor quality business key factor data query. Functional process: Inquiry about the data details of the key factors of chatbot poor quality business. Sub-process description: Read the detailed data of the key factors of chatbot poor quality business. Data movement type: R. Data group: detailed data of key factors of chatbot poor quality business. Data attributes: factors of poor quality of prefectural and city indicators, key factors of poor quality chatbot business, number of successful uplink messages from UP2.4 terminal users to Chatbot, proportion of poor quality factors, number of successful messages downlinked from Chatbot to users, number of messages uplinked from users to Chatbot The number of message successes, the total delay of UP2.4 end user uplink messages to Chatbot.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data table is generated. Functional process: 5G voice EPSFB user number analysis data statistics (HBASE library). Sub-process description: read 5G voice EPSFB user number analysis data. Data movement type: R. Data group: 5G voice EPSFB user number analysis data. Data attributes: the number of initial registration failures (EPSFB), the number of called initial registration requests (EPSFB), the number of initial registration delay measurements (EPSFB), date, the number of calling initial registration delay measurements (EPSFB), the number of 5G voice EPSFB users Analysis, number of successful initial registrations (EPSFB).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor quality load indicator data. Functional process: data export of poor quality load indicators. Sub-process description: Input the export request of poor quality load index. Data movement type: E. Data group: export operation instruction of poor quality load index. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data collection. Functional process: 5G voice VOLTE call duration analysis data conversion interface. Sub-process description: return 5G voice VOLTE call duration analysis data conversion data. Data movement type: X. Data group: converted 5G voice VOLTE call duration analysis data. Data attributes: 5G voice VOLTE call duration analysis, VOLTE initial registration success rate, VOLTE final call voice connection delay, VOLTE re-registration success rate, VOLTE registration average delay, VOLTE initial call voice response rate, VOLTE registration success rate, date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business indicator cause value data export. Functional process: Chatbot business indicator cause value data export. Sub-process description: Export the reason value data of Chatbot business indicators. Data movement type: X. Data group: Chatbot business indicator cause value data. Data attributes: reason value, first demolition message, Chatbot class indicator, Reason (Protocol), indicator value, Chatbot business indicator reason value, first demolition SIP status code, indicator name, last SIP status code, first demolition reason.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data conversion interface. Sub-process description: Read and convert the analysis data of 5G voice VOLTE users. Data movement type: R. Data group: 5G voice VOLTE user number analysis data. Data attributes: VOLTE voice connection rate, 5G voice VOLTE user number analysis, VOLTE final call voice network connection rate, VOLTE initial call voice response rate, VOLTE initial registration average delay, VOLTE initial registration average delay, VOLTE initial call voice network Through rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message sending key indicator data export. Functional process: 5G message sending key indicator data export. Sub-process description: read the key indicator data of 5G message sending. Data movement type: R. Data group: 5G message transmission key indicator data. Data attributes: Large Mode MRSP message receiving average delay (P2P), Pager Mode message sending total delay (group sending), Pager Mode average message receiving delay (group sending), Large Mode message receiving average delay (P2P), Pager Mode Message sending success rate (group sending), 5G message sending key indicators, Large Mode message receiving success rate (P2P), Large Mode MRSP message sending success rate (group sending), Large Mode MRSP message receiving success rate (group sending), Large Mode MRSP message Receive success rate (P2P), Pager Mode message receive success rate (group sending).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: initial registration details query. Functional process: Query the details of the initial registration list data. Sub-process description: Output the detailed query results of the initial registration details. Data movement type: X. Data group: the query result of the initial registration detailed list data details. Data attributes: initial registration success rate, UP2.4 terminal initial registration success times, initial registration details, UP2.4 terminal initial registration success rate, city, UP2.4 terminal re-registration request times, initial registration request times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Triggering event: data query of group sending failure reason value. Functional process: Query the data details of the cause value of group sending failure. Sub-process description: Read the detailed data of the cause value of the mass sending failure. Data movement type: R. Data group: detailed data of group sending failure reason value. Data attributes: indicator name, first demolition SIP status code, mass sending failure reason value, first demolition message, reason value, MSRP (REPORT (Req (Status (Code)))), Reason (Protocol), first demolition reason, index value, Mass sending indicators, process failure reasons.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: P2P & mass message early warning data table generation. Functional process: P2P & mass message early warning data statistics (HBASE library). Sub-process description: read P2P & group message warning data. Data movement type: R. Data group: P2P & group message early warning data. Data attributes: P2P message UP2.4 terminal number, P2P message number growth rate, P2P message terminal number load warning threshold, current P2P message number, P2P message terminal number growth rate, P2P message number growth rate, P2P & group message warning, current P2P Number of terminals, P2P message load warning threshold, current UP2.4 terminal P2P message number.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: user-aware aggregation dimension data export. Functional process: user-aware aggregation dimension data export. Sub-process description: export user-perceived aggregation dimension data. Data movement type: X. Data group: User-perceived aggregation dimension data. Data attributes: TCP establishment average delay (wireless side), TCP establishment success rate, user, UP2.4 end user uplink message success rate to Chatbot, user perception aggregation dimension, HTTP business success rate, UP2.4 end user uplink to Chatbot Chatbot's average message delay, TCP establishment success rate (wireless side), Chatbot downlink message success rate to users, and UP2.4 terminal Chatbot's average downlink message delay to users.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality load indicator data table. Functional process: generation of poor quality load index data table (GP business library). Sub-process description: Read the verification rules to verify the poor quality load index data. Data movement type: R. Data group: data verification rules for poor quality load indicators. Data attributes: growth rate of 5G message terminals, growth rate of 5G message users, number of 5G message terminals, number of 5G message users of UP2.4 terminals, poor quality load index, number of 5G message terminals of UP2.4 terminals, 5G message terminals of UP2.4 terminals Growth rate, current number of 5G message users, 5G message user load threshold, date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Triggering event: downloading of the ranking data of prefectures and cities for mass distribution of indicators. Functional process: download the ranking data of prefectures and cities by group sending. Sub-process description: Read the ranking data of cities and towns for mass distribution indicators. Data movement type: R. Data group: mass distribution index city ranking data. Data attributes: Ranking of cities and towns in group sending indicators, Number of times Large Mode messages are successfully sent (group sending), Number of Large Mode MRSP message sending (group sending), Large Mode message receiving delay (group sending), Number of Large Mode MRSP message sending successes (group sending), Pager Mode message sending total delay (group sending), threshold value, Large Mode message sending total delay (group sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicator warning data is added. Functional process: VONR voice index early warning data is added. Sub-process description: Input the new request for VONR voice index early warning data. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: Chatbot business indicator monitoring data query. Functional process: Chatbot business indicator monitoring data details query. Sub-process description: read Chatbot business indicator monitoring details data. Data movement type: R. Data group: Chatbot business indicator monitoring detailed data. Data attributes: total time delay of UP2.4 terminal users uplink messages to Chatbot, UP2.4 terminal user uplink message success times to Chatbot, proportion, Chatbot business indicator monitoring, UP2.4 terminal Chatbot downlink message success rate to users , the number of successful messages from Chatbot downlinked to users, the success rate of uplinked messages from UP2.4 end users to Chatbot, the total number of messages uplinked from UP2.4 end users to Chatbot, and the date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality mass-sending business data. Functional process: Export of poor-quality mass-sending business data. Sub-process description: read poor-quality mass-sending business data. Data movement type: R. Data group: poor quality bulk business data. Data attributes: factors of poor quality of group sending, large (mode message receiving success rate (group sending)), large (mode message sending average delay (group sending)), group sending quality poor core network factors, large (mode message sending times (group sending) )), prefecture, poor quality group sending business, large (mode message reception times (group sending)).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: export of on-delay indicator data. Functional process: Data export of on-time delay indicators. Sub-process description: read the export template of the on-delay index. Data movement type: R. Data group: the export template of the connection delay indicator. Data attribute: the export template of the connection delay indicator.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: VONR dropped call solution data query. Functional process: VONR dropped call solution data list query. Sub-process description: read VONR call drop solution data list information. Data movement type: R. Data group: VONR dropped call solution data list information. Data attributes: degradation index name, VONR call drop solution, month, ratio of index degradation days in this month, degradation index description, VoNR (voice) call drop rate, and index normal days.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message user number demand prediction rule configuration data export. Functional process: 5G message user number demand prediction rule configuration data export. Sub-process description: Export the configuration data of the 5G message user number demand prediction rule. Data movement type: X. Data group: 5G message user number demand prediction rule configuration data. Data attributes: growth rate of the number of 5G messaging users in n+9, growth rate of the number of 5G messaging users in n+July, configuration of demand forecasting rules for the number of 5G messaging users, growth rate of the number of 5G messaging users in n+2 months, 5G messaging users in this month Number, the growth rate of the number of 5G messaging users in n+4 months, and the growth rate of the number of 5G messaging users in n+3 months.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: Registration latency indicator data export. Functional process: Export registration delay indicator data. Sub-process description: Export registration delay index data. Data movement type: X. Data group: register latency indicator data. Data attributes: successful third-party registration delay, initial successful registration times, total initial registration times, total third-party registration times, successful third-party registration times, registration delay indicators, and average registration delay.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: UP2.4 terminal 5G message indicator data download. Function process: UP2.4 terminal 5G message indicator data download. Sub-process description: save the download data of UP2.4 terminal 5G message indicators. Data movement type: W. Data group: UP2.4 terminal 5G message index download data. Data attributes: UP2.4 terminal Pager Mode message receiving delay (P2P), UP2.4 terminal 5G message indicators, UP2.4 terminal Large Mode message receiving delay (P2P), UP2.4 terminal 5G message drop-down times of MMS, UP2.4 terminal Pager Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message sending times (P2P), UP2.4 terminal Pager Mode message reception success times (P2P), UP2.4 terminal Pager Mode message reception Times (P2P), UP2.4 terminal Large Mode message sending success times (P2P), UP2.4 terminal Pager Mode message sending average delay (P2P), UP2.4 terminal Large Mode message sending success rate (P2P).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Chatbot class aggregation indicator data export. Functional process: Chatbot class aggregation indicator data export. Sub-process description: Export Chatbot class aggregation indicator data. Data movement type: X. Data group: Chatbot class aggregates indicator data. Data attributes: Chatbot aggregation indicators, the total number of messages uploaded by users to Chatbot, the total number of messages downloaded by Chatbot to users, the total delay of messages uploaded by users to Chatbot, the total delay of messages uploaded by UP2.4 terminal users to Chatbot, UP2.4 The number of successful downlink messages from the terminal Chatbot to the user, the total number of uplink messages from the UP2.4 terminal user to the Chatbot, the total time delay of the UP2.4 terminal Chatbot's downlink messages to the user, the total time delay of the Chatbot downlink messages to the user, The number of successful messages sent from Chatbot to users, and the number of successful messages sent from UP2.4 terminal users to Chatbot.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: export of poor-quality NE registration index data. Functional process: Export the registration index data of poor quality network elements. Sub-process description: read the poor-quality network element registration index data. Data movement type: R. Data group: poor-quality network element registration index data. Data attributes: the total delay of the called initial registration, the number of measurements of the initial registration delay of the calling party, the number of times the calling party returns without registration, the number of times the called party failed to register initially, the number of times the calling party requested initial registration, the number of times the initial registration failed, and the number of times the calling party initially registered Number of successes, poor-quality network element registration indicators, and total caller initial registration delay.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: poor quality file transfer business data query. Functional process: Query the list of bad quality file transfer business data. Sub-process description: Input a request for querying the business data list of poor-quality file transfers. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message terminal number demand forecast rule configuration data modification. Functional process: 5G message terminal number demand forecast rule configuration data modification. Sub-process description: Input the request for modifying the configuration data of the 5G message terminal number demand prediction rule. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: business development indicators analysis data collection. Functional process: business development index analysis data collection interface. Sub-process description: Receive the business development index analysis data collection request. Data movement type: E. Data group: data collection request for business development indicator analysis. Data attributes: collection address, time, collection quantity, source file name.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data deletion. Functional process: EPSFB poor voice quality registration rule configuration data deletion. Sub-process description: read the EPSFB poor voice quality registration rule configuration data. Data movement type: R. Data group: EPSFB poor voice quality registration rule configuration data. Data attributes: initial registration success rate of EPSFB callers, proportion of poor terminal quality indicators, quality factors of core network indicators (proportion of poor quality core network), EPSFB voice quality poor registration rule configuration, number of community users, EPSFB initial registration success rate, EPSFB called initial registration success rate, and the proportion of poor quality indicators in the community.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data table is generated. Functional process: 5G voice VONR user number analysis data table generation (GP service library). Sub-process description: generate 5G voice VONR user number analysis abnormal data processing. Data movement type: W. Data group: analysis data of 5G voice VONR user numbers after exception processing. Data attributes: VoNR dedicated load establishment failure times (called), cities, VoNR untriggered dedicated load establishment times (calling), VoNR dedicated load establishment failure times (calling), VONR active user number growth rate, 5G voice VONR Analysis of the number of users, and the number of times VoNR is set up (calling).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice EPSFB call duration prediction analysis data query. Functional process: 5G voice EPSFB call duration prediction analysis data query. Sub-process description: output the detailed query results of 5G voice EPSFB call duration prediction analysis data. Data movement type: X. Data group: 5G voice EPSFB call duration prediction analysis data detailed query results. Data attributes: cities, 5G voice EPSFB call duration prediction analysis, EPSFB voice hour peak call duration this month, n-3 month EPSFB voice hour peak call duration, n-1 month EPSFB voice hour peak call duration, n-2 The peak call duration of EPSFB voice hours in months, the peak call duration of EPSFB voice hours in months n+3, and the peak call duration of EPSFB voice hours in months n+2.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: export of VONR voice indicator warning data. Functional process: VONR voice indicator early warning data export. Sub-process description: Read the VONR voice indicator warning export template. Data movement type: R. Data group: VONR voice index warning export template. Data attribute: VONR voice indicator warning export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: Data export of key business factors of poor registration quality. Functional process: Data export of key business factors of poor registration quality. Sub-process description: export the key factor data of poor registration quality business. Data movement type: X. Data set: data on key factors of poor registration quality business. Data attributes: UP2.4 terminal re-registration total delay, prefectural and city index quality factors, re-registration total delay, initial registration delay, wireless index quality factors, UP2.4 terminal initial registration total delay, initial registration The number of requests, core network indicator quality factors, UP2.4 terminal initial registration success times, registration quality key business factors, UP2.4 terminal re-registration success times.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data export. Functional process: 5G voice VONR user number analysis data export. Sub-process description: Input 5G voice VONR user number analysis and export request. Data movement type: E. Data group: 5G voice VONR user number analysis and export operation instructions. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: user-aware aggregation dimension data export. Functional process: user-aware aggregation dimension data export. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Triggering event: The data table of the cause value of mass sending failure is generated. Functional process: generation of data table of cause value of mass sending failure (GP business library). Sub-process description: read the data of the cause value of the mass sending failure. Data movement type: R. Data group: data of group sending failure reason value. Data attributes: first demolition SIP status code, reason value, MSRP (REPORT (Req (Status (Code)))), group sending indicators, group sending failure reason value, last SIP status code, indicator name, Reason (Protocol), process failure reason.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of terminal delay. Trigger event: terminal overall VONR delay data query. Functional process: Query the details of the overall VONR delay data of the terminal. Sub-process description: Read the detailed data of the overall VONR delay of the terminal. Data movement type: R. Data group: detailed data of the overall VONR delay of the terminal. Data attributes: total connection delay (VoNR), total delay of IMS forwarding and called paging (VoNR), terminal model, IMS domain delay (VoNR), total called response delay (VoNR), 5G core network Delay 2 (VoNR), the overall VONR delay of the terminal, and the total delay 2 measurement times of the 5G core network (VoNR).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data query. Functional process: Query the details of IMS domain delay index data. Sub-process description: output the query result of IMS domain delay index data details. Data movement type: X. Data group: query result of IMS domain latency index data details. Data attributes: IMS domain total delay (VoNR), IMS domain total delay measurement times (VoNR), IMS domain delay index, IMS forwarding and called paging delay (VoNR), IMS forwarding and called paging total Delay (VNR2VNR), IMS domain delay (VoNR), IMS domain total delay (VNR2VNR), IMS forwarding and called paging total delay measurement times (VNR2VNR), IMS forwarding and called paging total delay ( VoNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data query. Functional process: Query the details of 5G voice VONR user number analysis data. Sub-process description: Enter a query request for detailed analysis data of the number of 5G voice VONR users. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The generation of data table of poor quality indicators of file transfer class. Functional process: generation of poor quality index data table for file transfer (GP business library). Sub-process description: Generate file transfer class poor quality indicator abnormal data log write. Data movement type: W. Data group: Abnormal data log of poor quality indicators for file transfers. Data attributes: error code, error description, abnormal source data information of poor quality indicators for file transfers.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency indicator data collection. Functional process: IMS domain delay index data collection. Sub-process description: Read the verification rules to verify the account information of the IMS domain delay indicator data server. Data movement type: R. Data group: IMS domain delay indicator data server IP verification rules. Data attribute: IMS domain delay indicator data server IP, account number, password verification rules.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data query. Functional process: EPSFB poor voice quality registration rule configuration data list query. Sub-process description: output the EPSFB poor voice quality registration rule configuration data list query result. Data movement type: X. Data group: EPSFB poor voice quality registration rule configuration data list query result. Data attributes: core network indicators poor quality factors (proportion of poor quality core network), EPSFB voice quality poor registration rule configuration, number of community users, prefecture-city indicator quality factors (poor quality prefecture-city proportion), terminal quality indicator number Proportion, the number of indicators participating in the judgment of poor quality cells, the proportion of network element quality indicators, and the initial registration success rate of EPSFB callers.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G messaging service requirements, analysis and forecasting of 5G messaging terminal numbers. Trigger event: 5G message terminal analysis data export. Functional process: 5G message terminal analysis data export. Sub-process description: read 5G message terminal analysis data. Data movement type: R. Data group: 5G message terminal analysis data. Data attributes: the number of 5G message terminals in n+3 months, the number of 5G message terminals in n+2 months, the growth rate of 5G message terminals in n+3 months, the load of 5G message terminals in n+3 months, the load of 5G message terminals in this month, City, 5G message terminal analysis, n+1 month 5G message terminal number.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: modification of analysis data for poor-quality terminals. Functional process: modify the analysis data of poor-quality terminals. Sub-process description: Read the poor-quality terminal analysis data. Data movement type: R. Data set: Poor quality terminal analysis data. Data attributes: initial registration average delay, city factors, EPS fallback success rate, VoNR (voice) drop rate, terminal model, initial registration success rate, poor quality terminal analysis, user factors, terminal brand, proportion of poor quality indicators , After the VoNR call is connected, the success rate of the 4G network drops.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message business demand, 5G message demand and forecasted city rankings and trends. Trigger event: UP2.4 terminal mass SMS number prediction data query. Functional process: UP2.4 query the details of the prediction data of the number of group text messages sent by the terminal. Sub-process description: Read the prediction details of the number of group text messages sent by UP2.4 terminals. Data movement type: R. Data group: UP2.4 terminal group text message number prediction details data. Data attributes: n-number of group messages sent by UP2.4 terminals in February, number of group messages sent by UP2.4 terminals this month, number of group messages sent by UP2.4 terminals in n+2 months, date, n-number of group messages sent by UP2.4 terminals in January ,n+the number of group messages sent by UP2.4 terminals in March,n-the number of group messages sent by UP2.4 terminals in March,n-the number of group messages sent by UP2.4 terminals in April,county,prediction of the number of group messages sent by UP2.4 terminals,region city.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: Added file transfer indicator monitoring rule configuration data. Functional process: Added file transfer indicator monitoring rule configuration data. Sub-process description: Return the result of adding file transfer indicator monitoring rule configuration data. Data movement type: X. Data group: Added result of file transfer indicator monitoring rule configuration data. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: message sending and receiving analysis (P2P) data query. Functional process: message sending and receiving analysis (P2P) data details query. Sub-process description: read message sending and receiving analysis (P2P) detailed data. Data movement type: R. Data group: Messaging analysis (P2P) detail data. Data attributes: Large Mode message receiving success times (P2P), Large Mode message sending success times (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message receiving delay (P2P), Large Mode MRSP message sending total Latency (P2P), Pager Mode message receiving success times (P2P), Pager Mode message sending success times (P2P), Large Mode MRSP message sending success times (P2P), message sending and receiving analysis (P2P), Large Mode MRSP message receiving success Times (P2P).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VOLTE voice service quality monitoring indicator data display. Functional process: VOLTE voice service quality monitoring indicator data display. Sub-process description: output and display VOLTE voice service quality monitoring indicator data. Data movement type: X. Data group: VOLTE voice service quality monitoring indicator data. Data attributes: VoLTE final call voice response rate, VOLTE voice service quality monitoring indicators, VoLTE registration success rate, VoLTE network voice connection rate, VoLTE third-party registration success rate, VoLTE re-registration success rate, VoLTE third-party registration success delay, VoLTE origination voice response rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal user number prediction rule configuration data is added. Function process: UP2.4 terminal user number prediction rule configuration data is added. Sub-process description: read the configuration data of UP2.4 terminal user number prediction rules. Data movement type: R. Data group: UP2.4 terminal user number prediction rule configuration data. Data attribute: effective or not, n+1 month UP2.4 terminal 5G message user number growth rate, UP2.4 terminal user number forecast rule configuration, n+7 month UP2.4 terminal 5G message user number growth rate, n+4 month UP2.4 terminal 5G message user growth rate, index forecast historical data months, UP2.4 terminal 5G message user number this month, n+9 UP2.4 terminal 5G message user number growth rate, n+2 month UP2. 4Growth rate of terminal 5G messaging users.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Triggering event: querying aggregated indicator data for message group sending. Functional process: Query the list of aggregated indicator data for group message sending. Sub-process description: Output the query result of the aggregated index data list of message group sending. Data movement type: X. Data group: the query result of the aggregated index data list of message group sending. Data attributes: Large Mode MRSP message sending times (group sending), Large Mode message receiving delay (group sending), Large Mode message sending total delay (group sending), Pager Mode message sending success times (group sending), Large Mode message receiving times ( Group sending), Pager Mode message sending times (group sending), Large Mode message receiving success times (group sending), message group sending class aggregation indicators, Pager Mode message receiving delay (group sending), Large Mode MRSP message sending total delay (group sending), Large Mode MRSP message reception times (group sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: Query the call quality index data of poor quality NEs. Functional process: Query the call quality index data list of poor-quality network elements. Sub-process description: Output query results of call quality index data list of network elements with poor quality. Data movement type: X. Data group: the query result of the call quality index data list of poor quality NEs. Data attributes: poor quality NE, EPSFB (RTP downlink packet loss rate), city ranking, EPSFB call drop rate, VoNR (voice) call drop rate, poor quality NE call quality indicators, VoNR (voice) downlink average MOS , VoNR (voice) uplink average MOS.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data collection. Sub-process description: save 5G voice VOLTE user number analysis and collection data. Data movement type: W. Data group: 5G voice VOLTE user number analysis data. Data attributes: VOLTE voice connection rate, VOLTE voice connection average delay, VOLTE registration average delay, VOLTE network voice connection rate, VOLTE final call voice connection average delay, VOLTE registration success rate, VOLTE initial call voice response Rate, prefecture and city, VOLTE final call voice network connection rate, VOLTE final call voice connection rate, analysis of 5G voice VOLTE user numbers.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data is added. Function process: UP2.4 terminal P2P SMS prediction rule configuration data is added. Sub-process description: read the configuration data of UP2.4 terminal P2P SMS prediction rules. Data movement type: R. Data group: UP2.4 terminal P2P SMS prediction rule configuration data. Data attributes: growth rate of UP2.4 terminal P2P messages in n+1 month, growth rate of UP2.4 terminal P2P messages in n+August, UP2.4 terminal P2P SMS prediction rule configuration, n+7 UP2.4 terminal P2P The growth rate of the number of messages, the growth rate of the number of P2P messages of UP2.4 terminals in n+2 months, the growth rate of the number of P2P messages of UP2.4 terminals in n+9 months, the growth rate of the number of P2P messages of UP2.4 terminals in n+6 months, the growth rate of the number of P2P messages of UP2.4 terminals in this month, UP2 .4 Number of terminal P2P messages.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor-quality mass-sending business data table. Functional process: Generation of poor-quality mass-sending business data tables (GP business library). Sub-process description: Save the poor-quality mass-sending business data table to the GP table library. Data movement type: W. Data group: poor-quality mass-sending business data table. Data attributes: poor-quality group sending business, large (mode message reception success rate (group sending)), large (mode message receiving success times (group sending)), large (mode message sending times (group sending)), large (mode message receiving times ( Group sending)), conclusion of poor quality of group sending, prefecture and city, factors of poor quality of group sending, large (number of successful mode message sending (group sending)), large (mode message sending success rate (group sending)), large (mode message sending average time extension (mass)).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data collection. Functional process: 5G voice EPSFB call duration analysis data collection interface. Sub-process description: Return 5G voice EPSFB call duration analysis data. Data movement type: X. Data group: 5G voice EPSFB call duration analysis and collection data. Data attributes: EPSFB voice call times, EPSFB total connection delay measurement times (5T4), EPSFB call connection total delay measurement times (redirection method), EPSFB call drop rate growth rate, 5G voice EPSFB call duration analysis, EPSFB Total connection delay (5T5), EPSFB call duration growth rate, date, EPSFB total connection delay measurement times (5T5), EPSFB total connection delay (5T4).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message terminal count indicator data export. Functional process: 5G message terminal number indicator data export. Sub-process description: Input the export request of the 5G message terminal number index. Data movement type: E. Data group: 5G message terminal number index export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VONR voice service quality monitoring indicator data export. Functional process: VONR voice service quality monitoring index data export. Sub-process description: read VONR voice service quality monitoring indicator data. Data movement type: R. Data group: VONR voice service quality monitoring index data. Data attributes: VoNR final call voice connection average delay, date, VoNR re-registration success rate, VoNR voice average delay, VoNR initial registration average delay, VoNR final call voice network connection rate, VONR voice service quality monitoring indicators, VoNR initial call voice network connection rate, VoNR network voice connection rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: VONR indicator closed-loop analysis data export. Functional process: VONR indicator closed-loop analysis data export. Sub-process description: Export the VONR index closed-loop analysis data. Data movement type: X. Data set: VONR indicator closed-loop analysis data. Data attributes: number of periods of indicator degradation, month, closed-loop analysis of VONR indicators, proportion of days of indicator deterioration in this month, description of deterioration indicators, proportion of indicator deterioration periods in this month, and rate of indicator compliance.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Export of configuration data for bad registration terminal rules. Functional process: export the rule configuration data for terminals with poor registration quality. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message user number demand prediction rule configuration data modification. Functional process: Modify the configuration data of the 5G message user number demand prediction rule. Sub-process description: Modify the configuration data of the 5G message user number demand prediction rule. Data movement type: W. Data group: the configuration data of the 5G message user number demand prediction rule to be modified. Data attributes: growth rate of the number of 5G message users in n+3 months, growth rate of the number of 5G message users in n+4 months, growth rate of the number of 5G message users in n+2 months, configuration of demand forecasting rules for the number of 5G message users, 5G in n+5 months The growth rate of the number of message users, the growth rate of the number of 5G message users in n+1 months, whether it is effective, the growth rate of the number of 5G message users in n+6 months.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency indicator data collection. Functional process: IMS domain delay index data collection interface. Sub-process description: return IMS domain delay index data. Data movement type: X. Data group: IMS domain latency index collection data. Data attributes: IMS forwarding and called paging delay (VoNR), called number of total called response delay measurements (VoNR), IMS domain delay index, called called response total delay measured times (VNR2VNR), IMS forwarded and called Called paging delay (VNR2VNR), total called response delay (VoNR), IMS forwarding and called paging total delay (VNR2VNR), IMS forwarding and called paging total delay measurement times (VoNR), IMS Total domain delay measurement times (VoNR).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: uploading of on-delay indicator data. Functional process: upload the connection delay index data. Sub-process description: Upload the connection delay index data. Data movement type: X. Data group: on-delay index data. Data attributes: connection delay index, wireless delay (VoNR), total wireless delay (VoNR), total connection delay (VoNR), connection delay (VNR2VNR), total connection delay measurement times (VNR2VNR ), wireless delay (VNR2VNR), and total connection delay measurement times (VoNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: The configuration data of the VOLTE poor voice quality delay rule is added. Functional process: The configuration data of the delay rule for poor voice quality in VOLTE is added. Sub-process description: Return the newly added result of VOLTE voice quality delay rule configuration data. Data movement type: X. Data group: Added result of VOLTE voice quality delay rule configuration data. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: The registration class poor quality rule configuration data is added. Functional process: The configuration data of the registration class poor quality rule is added. Sub-process description: return the newly added result of configuration data of poor-quality registration rules. Data movement type: X. Data group: the newly added result of configuration data of registration class poor quality rules. Data attributes: whether the new result is successful, and the new time.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VOLTE voice demand forecast configuration data export. Functional process: VOLTE voice demand forecast configuration data export. Sub-process description: Export VOLTE voice demand forecast configuration data. Data movement type: X. Data group: VOLTE voice demand forecast configuration data. Data attributes: VOLTE network voice connection rate poor quality threshold, VOLTE user voice response rate poor quality threshold, VOLTE initial call voice response rate poor quality threshold, VOLTE voice downlink RTP packet loss rate poor quality threshold, VOLTE voice connection rate poor quality Threshold, VOLTE final call voice completion rate poor quality threshold, VOLTE voice demand forecast configuration.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency index data collection. Functional process: core network delay index data collection. Sub-process description: Input the core network delay index data collection request. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: File transfer indicator monitoring rule configuration data modification. Functional process: File transfer indicator monitoring rule configuration data modification. Sub-process description: Return the modification result. Data movement type: X. Data group: file transfer indicator monitoring rule configuration data modification results. Data attributes: modification time, change record.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: export of on-delay indicator data. Functional process: Data export of on-time delay indicators. Sub-process description: input the request for exporting the on-delay index. Data movement type: E. Data group: operation instruction for deriving the on-delay index. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message user number demand prediction rule configuration data is added. Functional process: The configuration data of the 5G message user number demand prediction rule is added. Sub-process description: Read the rule to verify the configuration data of the 5G message user number demand prediction rule. Data movement type: R. Data group: 5G message user number demand forecasting rules configuration data verification rules. Data attributes: 5G message user number demand prediction rule configuration data non-null check, data format check.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: Export of indicator data for poor-quality terminal file transfers. Functional process: Export of poor quality terminal file transfer index data. Sub-process description: Input a request for exporting indicators of poor-quality terminal file transfers. Data movement type: E. Data group: export operation instructions for poor-quality terminal file transfer indicators. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VOLTE voice indicator warning data deletion. Functional process: VOLTE voice indicator warning data deletion. Sub-process description: Update VOLTE voice indicator warning data. Data movement type: W. Data group: Deleted VOLTE voice index warning data. Data attributes: VOLTE initial call voice connection rate, VOLTE final call voice network connection rate, VOLTE re-registration success rate, VOLTE voice connection rate, VOLTE voice indicator warning, VOLTE final call voice response rate, VOLTE initial call voice connection Average delay, average delay of VOLTE final call voice connection, VOLTE initial call voice network connection rate, VOLTE initial registration success rate, VOLTE initial call voice response rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality load indicator data table. Functional process: Statistics of poor quality load indicators (HBASE library). Sub-process description: Input statistical request for poor quality load index data. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: EPSFB voice indicator early warning data query. Functional process: Query the details of EPSFB voice index early warning data. Sub-process description: Input the request for querying the details of the EPSFB voice index early warning data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: The configuration data of the poor quality rule of the business development category is added. Functional process: Added new configuration data for business development category poor quality rules. Sub-process description: read the configuration data of business development class poor quality rules. Data movement type: R. Data group: configuration data of poor quality rules for business development. Data attributes: rule name, prefecture index quality factor, HTTP establishment success rate, serial number, individual user indicator quality factor, business development class quality rule configuration, wireless index quality factor, quality ratio ratio, TCP establishment success rate .

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: data query for file transfer indicators, city trend analysis. Functional process: file transfer index city trend analysis data list query. Sub-process description: Output file transfer index city trend analysis data list query results. Data movement type: X. Data group: query result of file transfer index city trend analysis data list. Data attributes: file transfer index city trend analysis, date, 5GM02 interface file download total delay, 5GM02 interface file download success rate, 5GM02 interface file upload failure times, 5GM02 interface file download failure times, 5GM02 interface file download success times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Triggering event: mass query of index prefecture and city ranking data. Functional process: query the ranking data list of cities and towns with mass distribution indicators. Sub-process description: Read the list information of the ranking data of cities and towns for mass distribution indicators. Data movement type: R. Data group: Mass distribution of index city ranking data list information. Data attributes: Pager Mode message receiving delay (group sending), Large Mode message receiving success times (group sending), sorting level, Pager Mode message receiving success times (group sending), Large Mode message sending total delay (group sending), date, group sending Ranking of cities and towns, Pager Mode message reception times (group sending), Pager Mode message sending times (group sending), Large Mode message receiving times (group sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: EPSFB voice indicator early warning data query. Functional process: EPSFB voice indicator early warning data list query. Sub-process description: output the query result of the EPSFB voice indicator early warning data list. Data movement type: X. Data group: EPSFB voice indicator early warning data list query result. Data attributes: EPSFB voice index warning, EPSFB registered user growth rate, EPSFB voice call completion rate, EPSFB active user number growth rate, EPSFB active user number, EPSFB voice call duration, EPSFB voice fallback average delay, EPSFB voice fallback success Rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR registration class quality closed-loop data table generation. Functional process: VONR registration quality closed-loop data statistics (HBASE library). Sub-process description: Input the VONR registration class quality closed-loop data statistics request. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: query of terminal information and data with poor core network quality. Functional process: Query the list of terminal information data lists with poor core network quality. Sub-process description: Output the query result of the terminal information data list with poor core network quality. Data movement type: X. Data group: query result of terminal information data list with poor core network quality. Data attributes: initial registration success rate, http average response delay, initial registration average delay, tac, NE name, 5GM02 interface file download average delay, core network quality terminal information, date, 5GM02 interface file upload success rate, 5GM02 interface file download success rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: Export of poor-quality terminal business indicator data. Functional process: export of bad-quality terminal business index data. Sub-process description: read the poor-quality terminal business index data. Data movement type: R. Data group: Indicator data of poor-quality terminal business. Data attributes: poor-quality terminal business indicators, wireless network factors, tac, conclusion, http average delay, tcp average delay, core network factors, user factors, city factors, terminal brands.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Trigger event: query of data analysis data of poor-quality terminal registration indicator factors. Functional process: query the data list of poor quality terminal registration index factor analysis data list. Sub-process description: Output the query results of the list of factor analysis data for poor-quality terminal registration indicators. Data movement type: X. Data group: query results of the data list of poor quality terminal registration index factor analysis data list. Data attributes: core network factors, conclusions, calling initial registration success rate, number of poor quality indicators, city factors, called initial registration success rate, proportion of poor quality indicators, terminal model, factor analysis of poor quality terminal registration indicators, wireless net factor.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data query. Functional process: 5G voice EPSFB user number analysis data list query. Sub-process description: Output the list query results of 5G voice EPSFB user number analysis data. Data movement type: X. Data group: 5G voice EPSFB user number analysis data list query results. Data attributes: number of calling initial registration delay measurements (EPSFB), 5G voice EPSFB user number analysis, number of called initial registration successes (EPSFB), number of initial registration delay measurements (EPSFB), number of called initial registration requests (EPSFB ), the number of initial registration failures (EPSFB), the number of initial registration successes of the calling party (EPSFB), the number of initial registration requests of the calling party (EPSFB), the number of initial registration requests (EPSFB), the growth rate of the number of active users (EPSFB), and the date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data query of key factors of P2P poor quality business. Functional process: query the data details of the key factors of P2P poor quality business. Sub-process description: Enter the data query request for the key factors of P2P poor quality business. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Data export of group sending failure reason value. Functional process: data export of group sending failure cause value. Sub-process description: read the export template of the group sending failure reason value. Data movement type: R. Data group: export template of group sending failure reason value. Data attribute: export template of group sending failure reason value.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback class quality closed-loop data table is generated. Functional process: EPSFB fallback quality closed-loop data table generation (GP business library). Sub-process description: read EPSFB fallback quality closed-loop data. Data movement type: R. Data group: EPSFB fallback quality closed-loop data. Data attribute: index deterioration value (19 points), index deterioration value (17 points), index deterioration value (20 points), index normal value (8 points), index deterioration value (12 points), index deterioration value (23 points) , Index normal value (5 points), EPSFB fallback quality closed loop, index deterioration value (1 point), index deterioration value (13 points), index normal value (10 points).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: P2P message index data query of poor quality terminals. Functional process: Query the P2P message index data list of poor quality terminals. Sub-process description: Enter a query request for the P2P message index data list of poor-quality terminals. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of terminal delay. Trigger event: Terminal EPSFB delay data export. Functional process: terminal EPSFB delay data export. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicators early warning data query. Functional process: VONR voice index warning data list query. Sub-process description: read VONR voice index warning data list information. Data movement type: R. Data group: VONR voice indicators early warning data list information. Data attributes: number of VONR registered users, VONR voice fallback success rate, VONR voice drop rate, VONR active user growth rate, VONR voice call completion rate, VONR voice switching success rate, VONR registered user growth rate, VONR active user Number, VONR voice index warning, VONR voice call duration.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback class quality closed-loop data table is generated. Functional process: EPSFB fallback quality closed-loop data table generation (GP business library). Sub-process description: Read the verification rules to verify the quality closed-loop data of the EPSFB fallback class. Data movement type: R. Data group: EPSFB fallback quality closed-loop data verification rules. Data attribute: index deterioration value (19 points), index deterioration value (17 points), index deterioration value (20 points), index normal value (8 points), index deterioration value (12 points), index deterioration value (23 points) , Index normal value (5 points), EPSFB fallback quality closed loop, index deterioration value (1 point), index deterioration value (13 points), index normal value (10 points).