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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: Statistics of poor-quality mass-sending business data (HBASE library). Sub-process description: read poor-quality mass-sending business data. Data movement type: R. Data group: poor quality bulk business data. Data attributes: prefecture, city, poor quality group sending business, large (mode message reception success rate (group sending)), large (mode message sending times (group sending)), group sending poor quality conclusion, large (mode message sending times (group sending)) , large (the number of times the mode message is received (group sending)), large (the number of times the mode message is successfully received (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, 5G message quality indicators and trends. Trigger event: P2P poor quality indicator data download. Functional process: P2P type poor quality indicator data download. Sub-process description: download the data of P2P poor quality indicators. Data movement type: W. Data set: P2P poor quality indicator data. Data attributes: date, P2P poor quality index, UP2.4 terminal Large Mode message receiving delay (P2P), UP2.4 terminal Large Mode message receiving success rate (P2P), Pager Mode message sending success rate (P2P), UP2 .4 Terminal Pager Mode message receiving delay (P2P), UP2.4 Terminal Large Mode message sending success rate (P2P), Pager Mode message sending total delay (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message receiving 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: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: P2P poor quality rule configuration data export. Functional process: P2P poor quality rule configuration data export. Sub-process description: read the configuration data of P2P poor quality rules. Data movement type: R. Data group: configuration data of P2P poor quality rules. Data attributes: rule name, wireless indicator quality factor, operator, number, quality ratio, core network indicator quality factor, individual user indicator quality factor, P2P poor quality rule configuration, P2P message sending success rate.

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 VONR call duration prediction analysis data query. Functional process: 5G voice VONR call duration prediction analysis data list query. Sub-process description: output 5G voice VONR call duration prediction analysis data list query results. Data movement type: X. Data group: 5G voice VONR call duration prediction analysis data list query results. Data attributes: districts and counties, date, forecast and analysis of 5G voice VONR call duration, VoNR voice connection rate in this month, VoNR drop rate in n+2 months, VoNR drop rate in n+1 month, VoNR drop rate in n-4 months , VoNR call connection rate in month n-1, VoNR call drop rate in this month, VoNR call drop rate in month n+3, VoNR call connection rate in month n+1.

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: Network element fallback aggregation dimension data display. Functional process: Network element fallback aggregation dimension data display. Sub-process description: read the data of the NE fallback aggregation dimension. Data movement type: R. Data group: NE fallback aggregation dimension data. Data attributes: 5G message fallback SMS success rate, UP2.4 terminal re-registration success rate, date, network element fallback aggregation dimension, UP2.4 terminal Large Mode message sending success rate (P2P), UP2.4 terminal cancellation success rate, UP2 .4 Terminal initial registration success rate, time period.

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 list query. Sub-process description: input message sending and receiving analysis (P2P) data list query request. 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 monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: user perception aggregated dimension data display. Functional process: user perception aggregation dimension data display. Sub-process description: Input user-perceived aggregation dimension display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request 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 news indicators, city ranking and trend analysis. Trigger event: data query of business indicators, city trend analysis. Functional process: Detailed query of business indicators, prefecture and city trend analysis data. Sub-process description: Read the detailed data of business indicators, prefecture and city trend analysis. Data movement type: R. Data group: detailed data of business indicators, prefecture and city trend analysis. Data attributes: sorting level, HTTP total delay, TCP establishment success rate, business index city trend analysis, TCP establishment total delay, threshold value, TCP establishment average response delay, HTTP average response delay, date, HTTP business Success rate.

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 warning data deletion. Functional process: EPSFB voice indicator warning data deletion. Sub-process description: read EPSFB voice index warning data. Data movement type: R. Data group: EPSFB voice indicators early warning data. Data attributes: EPSFB voice call drop rate, EPSFB voice indicator warning, EPSFB voice call duration, EPSFB voice fallback average delay, EPSFB registered user number, EPSFB voice switching success rate, EPSFB active user number, EPSFB voice fallback success rate, EPSFB voice Call completion rate, growth rate of EPSFB registered users, growth rate of EPSFB active 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: P2P poor quality indicator data query. Functional process: P2P type poor quality index data list query. Sub-process description: Enter the query request for P2P poor quality index data list. 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 monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business index cause value data table generation. Functional process: Chatbot business indicator cause value data table generation (GP business library). Sub-process description: read the reason value data of Chatbot business indicators. Data movement type: R. Data group: Chatbot business indicator cause value data. Data attributes: last SIP status code, MSRP (REPORT (Req (Status (Code)))), index value, first teardown message, first teardown SIP status code, Chatbot service index reason value, first teardown 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, 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: Return the deletion result. Data movement type: X. Data group: VOLTE voice indicators early warning data deletion results. Data attributes: delete time, delete quantity.

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: Business development indicator monitoring rule configuration data modification. Functional process: business development indicator monitoring rule configuration data modification. Sub-process description: update the business development indicator monitoring rule configuration data. Data movement type: W. Data group: the modified business development indicator monitoring rule configuration data. Data attributes: business development indicator monitoring rule configuration, threshold type, indicator unit, KPI proportion, indicator Chinese name, poor quality threshold, and comparison conditions.

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: call the IMS domain delay index data collection interface. Data movement type: X. Data group: IMS domain delay index data collection interface. Data attribute: IMS domain delay index data collection interface api.

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 data table of poor quality indicators for business development is generated. Functional process: data statistics of poor quality indicators for business development (HBASE library). Sub-process description: read the statistical rules and perform statistical calculations on the data of poor quality indicators of business development. Data movement type: R. Data group: Statistical rules for poor quality indicators of business development. Data attributes: summary conditions, summary dimensions.

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: terminal business class aggregation indicator data query. Functional process: Query the details of aggregated indicator data of terminal business. Sub-process description: Read the detailed data of the aggregation indicators of the terminal business class. Data movement type: R. Data group: detailed data of terminal business aggregation indicators. Data attributes: TCP downlink RTT measurement times (HTTP), TCP downlink high retransmission times (HTTP), TCP link establishment request times (HTTP), TCP link establishment request success times (HTTP), TCP uplink high retransmission times (HTTP) , Aggregation indicators of terminal services, TCP downlink high out-of-sequence times (HTTP).

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 poor business development. Functional process: query the data details of key factors of poor business development quality. Sub-process description: Read the detailed data of key factors of poor business development quality. Data movement type: R. Data group: detailed data on key factors of poor business development. Data attributes: the total number of authentications initiated by the terminal to the storage server, the key factors of poor business development, the total delay of HTTP responses, the number of successful TCP establishments (core network), the number of successful TCP establishments (wireless side), the total delay of TCP establishments, The proportion of poor quality factors, the number of successful HTTP services, and the poor quality factors of wireless indicators.

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: export of 5G message user count indicator data. Functional process: 5G message user number indicator data export. Sub-process description: Read the export template of the 5G news user number indicator. Data movement type: R. Data group: template for exporting 5G messaging user count indicators. Data attribute: export template of 5G message user count indicator.

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: P2P SMS demand forecasting rule configuration data display. Functional process: P2P SMS demand forecasting rule configuration data display. Sub-process description: Input P2P short message number demand prediction rule configuration display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

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 VOLTE voice indicator warning data. Functional process: VOLTE voice indicators early warning data export. Sub-process description: export VOLTE voice indicator warning data. Data movement type: X. Data group: VOLTE voice indicators early warning data. Data attributes: VOLTE voice index warning, VOLTE re-registration success rate, VOLTE initial call voice network connection rate, VOLTE voice connection rate, VOLTE final call voice network connection rate, VOLTE registration success rate, VOLTE final call voice connection rate ,VOLTE initial registration average 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: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: Display of business development indicator monitoring rule configuration data. Functional process: business development indicator monitoring rule configuration data display. Sub-process description: read the configuration data of business development indicator monitoring rules. Data movement type: R. Data group: business development indicator monitoring rule configuration data. Data attributes: comparison conditions, business development indicator monitoring rule configuration, whether it is effective, indicator unit, indicator Chinese name, business development indicator, KPI proportion, dynamic threshold position, indicator English name, threshold 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, 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: Update the file transfer indicator monitoring rule configuration data. Data movement type: W. Data group: newly added file transfer indicator monitoring rule configuration data. Data attributes: comparison condition, KPI proportion, poor quality threshold, file transfer indicator monitoring rule configuration, indicator Chinese name, threshold type, indicator unit, file transfer indicator, whether it is effective, indicator English name, dynamic threshold position.

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 mass-poor terminal rules. Functional process: Export rule configuration data for group sending poor quality terminals. 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE poor voice quality connection rule configuration data query. Functional process: Query the configuration data list of VOLTE poor voice quality connection rules. Sub-process description: Input the query request for the configuration data list of the VOLTE voice quality connection rule. 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 forecasting rule configuration data is added. Functional process: 5G message terminal number demand forecasting rule configuration data is added. Sub-process description: Input a new request for the configuration data of the 5G message terminal number demand prediction rule. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add 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 quality perception analysis, poor quality terminal analysis. Triggering event: downloading of analysis data of call quality indicators for poor-quality terminals. Functional process: Download the analysis data of the poor quality terminal call quality index factors. Sub-process description: input a request for downloading the call quality index factor analysis data of the terminal with poor quality. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

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 chatbot's poor quality business key factors. Functional process: Data export of chatbot's poor quality business key factors. Sub-process description: export the key factor data of chatbot poor quality business. Data movement type: X. Data group: data of key factors of chatbot poor quality business. Data attributes: key factors of chatbot poor quality business, number of successful chatbot downlink messages to users, user indicator quality factor, wireless indicator quality factor, total time delay of user uplink messages to Chatbot, number of user uplink message success times to Chatbot, The number of successful downlink messages from the UP2.4 terminal Chatbot to the user, the proportion of poor quality factors, and the total delay of the downlink message from the UP2.4 terminal Chatbot to the user.

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 user number prediction analysis data query. Functional process: query the details of 5G voice EPSFB user number prediction and analysis data. Sub-process description: Output the detailed query results of 5G voice EPSFB user number prediction and analysis data. Data movement type: X. Data group: 5G voice EPSFB user number prediction and analysis data detailed query results. Data attributes: n-the number of EPSFB active users in the peak hour of February, n-the number of EPSFB active users in the peak hour of January, n-the number of EPSFB active users in the peak hour of March, date, the number of EPSFB active users in the peak hour of this month, 5G voice EPSFB Forecast analysis of the number of users, the number of EPSFB active users in the peak hour of month n-5, the number of active EPSFB users in the peak hour of this month, the number of active EPSFB users in the peak hour of forecast n+2 months, the number of active EPSFB users in the peak hour of forecast n+3 months, n -Number of EPSFB active users at the peak hour in April.

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: Read and convert the 5G voice VOLTE call duration analysis data. Data movement type: R. Data group: 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: 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: 5G voice VONR user number analysis data list query. Sub-process description: output the list query results of 5G voice VONR user number analysis data. Data movement type: X. Data group: 5G voice VONR user number analysis data list query results. Data attributes: analysis of the number of 5G voice VONR users, the number of VoNR untriggered dedicated load establishment (called), the number of VoNR untriggered dedicated load establishment (calling), the number of successful VoNR dedicated load establishment (called), the number of active VONR users rate, the number of VoNR dedicated load establishment (called), the number of VoNR dedicated load establishment failures (calling), and the number of VoNR dedicated load establishment failures.

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 modification. Functional process: Modify the configuration data of EPSFB poor voice quality registration rules. Sub-process description: Input EPSFB poor voice quality registration rule configuration data modification request. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification 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 poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data is added. Functional process: The EPSFB poor voice quality registration rule configuration data is added. Sub-process description: read rule verification EPSFB poor voice quality registration rule configuration data. Data movement type: R. Data group: EPSFB poor voice quality registration rule configuration data verification rule. Data attribute: EPSFB poor voice quality registration rule configuration data non-null check, data format check.

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 VONR call duration analysis data query. Function process: 5G voice VONR call duration analysis data details query. Sub-process description: Read the detailed data of 5G voice VONR call duration analysis. Data movement type: R. Data group: 5G voice VONR call duration analysis detailed data. Data attributes: VoNR call fallback 4G network connection times (called), VoNR call fallback 4G network connection times (called), 5G voice VONR call duration analysis, VoNR call fallback 4G network connection times (caller), Times of VoNR calls falling back to 4G network not connected, prefectures and cities, times of 4G normal release after VoNR calls are connected (called), times of VoNR calls falling back to 4G network connection, growth rate of VONR call duration, normal release of VoNR calls after connection times (called).

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: Registration class poor quality rule configuration data display. Functional process: registration class poor quality rule configuration data display. Sub-process description: read the configuration data of registration class poor quality rules. Data movement type: R. Data group: registration class poor quality rule configuration data. Data attributes: prefecture-city indicator quality factors, re-registration success rate, core network indicator quality factors, rule name, individual user indicator quality factors, number, registration category poor quality rule configuration, wireless indicator quality factors.

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 query. Functional process: Query the details of the registration delay indicator data. Sub-process description: Enter a query request for registration delay indicator data details. 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 quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: Query data of terminal indicators with poor granularity in prefectures and cities. Functional process: Inquiry about the details of terminal index data with poor granularity and quality in prefectures and cities. Sub-process description: Read the detailed data of the poor quality terminal indicators at the prefecture-level granularity. Data movement type: R. Data group: Detailed data of prefecture-level and poor-quality terminal indicators. Data attributes: terminal model, 5GM02 interface file download success rate, http average response delay, initial registration average delay, up2.4 terminal initial registration success rate, date, http business success rate, 5GM02 interface file upload success rate, city The terminal indicators of poor granularity and UP2.4 terminal initial registration 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 message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data is added. Functional process: P2P indicator monitoring rule configuration data is added. Sub-process description: read the P2P indicator monitoring rule configuration data. Data movement type: R. Data group: P2P indicator monitoring rule configuration data. Data attributes: effective or not, threshold type, KPI proportion, poor quality threshold, indicator English name, comparison condition, indicator unit, P2P indicator monitoring rule configuration.

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. Trigger event: chatbot bad quality terminal rule configuration data display. Functional process: chatbot poor quality terminal rule configuration data display. Sub-process description: read chatbot poor quality terminal rule configuration data. Data movement type: R. Data group: chatbot poor quality terminal rule configuration data. Data attributes: rule name, unit, proportion of poor quality cities, chatbot poor quality terminal rule configuration, whether it takes effect, chatbot downlink to user establishment average delay index threshold, user uplink to chatbot establishment average delay index threshold, operator, Chatbot downlink to user establishment success rate index threshold, user uplink to chatbot establishment success rate index threshold, 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: 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 conversion. Sub-process description: call the 5G voice EPSFB call duration analysis data conversion interface. Data movement type: X. Data group: 5G voice EPSFB call duration analysis data conversion interface. Data attribute: 5G voice EPSFB call duration analysis data conversion interface api.

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: Input VONR indicator closed-loop analysis export request. Data movement type: E. Data group: VONR index closed-loop 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: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Display of configuration data of terminal rules with poor mass sending quality. Functional process: display the configuration data of group sending poor quality terminal rules. Description of the sub-process: Input the configuration display request for group sending poor quality terminal rules. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

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: Display of poor quality network element analysis data. Functional process: display of poor quality network element analysis data. Sub-process description: The output shows poor-quality network element analysis data. Data movement type: X. Data group: poor quality network element analysis data. Data attributes: VoNR call fallback 4G network completion rate (caller), poor quality NE analysis, poor quality NE, EPSFB (RTP downlink MOS), initial registration success rate, EPSFB (RTP uplink packet loss rate), VoNR Calls fall back to the 4G network completion rate, VoNR (voice) downlink average MOS.

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 query. Functional process: query the EPSFB call quality closed-loop data list. Sub-process description: Read the EPSFB call quality closed-loop data list information. Data movement type: R. Data group: EPSFB call quality closed-loop data list information. Data attributes: index normal value (0 points), index deterioration value (13 points), index deterioration value (16 points), index normal value (8 points), EPSFB call quality quality closed loop, index deterioration value (5 points), Indicator normal value (16 points).

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 table is generated. Functional process: 5G voice VOLTE user number analysis data statistics (HBASE library). Sub-process description: read the statistical rules and perform statistical calculations on the analysis data of the number of 5G voice VOLTE users. Data movement type: R. Data group: 5G voice VOLTE user number analysis data statistical rules. Data attributes: summary conditions, summary dimensions.

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: P2P indicator monitoring rule configuration data modification. Functional process: P2P indicator monitoring rule configuration data modification. Sub-process description: Return the modification result. Data movement type: X. Data group: P2P 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: IMS domain latency indicator data export. Functional process: IMS domain delay index data export. Sub-process description: export IMS domain delay index data. Data movement type: X. Data group: IMS domain latency index data. Data attributes: IMS forwarding and called paging total delay (VNR2VNR), IMS domain total delay measurement times (VoNR), called called response total delay measured times (VNR2VNR), called called response total delay (VNR2VNR), IMS forwarding and called paging total delay measurement times (VNR2VNR), IMS domain total delay measurement times (VNR2VNR), IMS forwarding and called paging total delay measurement times (VoNR), called response total delay ( VoNR), IMS domain delay index, IMS forwarding and called paging delay (VNR2VNR).

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: Query the details of VONR dropped call solution data. Sub-process description: Read the detailed data of the VONR call drop solution. Data movement type: R. Data group: detailed data of VONR call drop solution. Data attributes: VONR dropped call solution, average MOS of VoNR (voice) downlink, percentage of index degradation period in this month, description of degradation index, percentage of index degradation days in this month, month, number of index degradation periods, VoNR (voice) downlink RTP Packet loss rate, VoNR (voice) uplink RTP packet loss rate, index normal days.

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 statistics (HBASE library). Sub-process description: read EPSFB fallback quality closed-loop data. Data movement type: R. Data set: EPSFB fallback quality closed-loop data. Data attributes: index normal value (16 points), index normal value (21 points), index normal value (22 points), index normal value (20 points), index deterioration value (11 points), index deterioration value (7 points) , Index deterioration value (23 points), index normal value (13 points), EPSFB fallback quality closed loop, index normal value (1 point).

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 table is generated. Functional process: 5G voice VOLTE user number analysis data statistics (HBASE library). Sub-process description: Input 5G voice VOLTE user number analysis 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: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business index cause value data table generation. Functional process: Chatbot business indicator cause value data statistics (HBASE library). Sub-process description: Input the chatbot business index reason value 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: 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 list of the cause value of mass sending failure. Sub-process description: Input the data list query request for the reason value of mass sending failure. 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 cell delay. Trigger event: Export of the overall VONR delay data of the cell. Functional process: export the overall VONR delay data of the cell. Sub-process description: Export the overall VONR delay data of the cell. Data movement type: X. Data group: the overall VONR delay data of the cell. Data attributes: 5G Core Network Delay 2 (VoNR), Called Response Total Delay (VoNR), 5G Core Network Total Delay 2 (VoNR), Cell Overall VoNR Delay, IMS Forwarding and Called Paging Total Delay Measurement times (VoNR), IMS forwarding and called paging delay (VoNR), cell, 5G core network total delay 2 measurement times (VoNR).

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: Input the Chatbot class aggregation indicator export request. Data movement type: E. Data group: Chatbot class aggregation indicator export operation instruction. 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 VONR call duration analysis data table is generated. Functional process: 5G voice VONR call duration analysis data statistics (HBASE library). Sub-process description: Input 5G voice VONR call duration analysis 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: intelligent forecasting of 5G messaging service requirements, analysis and forecasting of 5G messaging terminal numbers. Trigger event: 5G message terminal analysis data query. Functional process: Detailed query of 5G message terminal analysis data. Sub-process description: Output the detailed query results of 5G message terminal analysis data. Data movement type: X. Data group: query results of 5G message terminal analysis data details. Data attributes: analysis of 5G messaging terminals, load of 5G messaging terminals in n+3 months, growth rate of 5G messaging terminals in n+3 months, month, number of 5G messaging terminals in n+2 months, load of 5G messaging terminals in n+1 months, The growth rate of the number of 5G messaging terminals in n+1 month, the load of 5G messaging terminals in n+2 months, and the number of 5G messaging terminals in n+1 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: the collection of registered index analysis data. Functional process: registration index analysis data collection interface. Sub-process description: return the registration index analysis data. Data movement type: X. Data group: registration index analysis collection data. Data attributes: the number of successful initial registrations, the total initial registration delay, the number of UP2.4 terminal re-registration requests, the total UP2.4 terminal re-registration delay, the total re-registration delay, registration index analysis, UP2.4 terminal re-registration number of successes.

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: Input the detailed query request of the overall VONR delay data of the terminal. 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: Data export of poor quality indicators for business development. Functional process: Data export of poor quality indicators for business development. Sub-process description: export the poor quality indicator data of business development category. Data movement type: X. Data group: business development category poor quality indicator data. Data attributes: HTTP business success rate, TCP establishment total delay (wireless side), HTTP service establishment failure times (client rejection), TCP link establishment success to the total delay of the first transaction request, business development category poor quality indicators, Date, the number of HTTP business successes.

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: Query data of poor-quality terminal business indicators. Functional process: Query the data list of poor-quality terminal business indicators. Sub-process description: Read the information of the poor-quality terminal business index data list. Data movement type: R. Data group: data list information of poor-quality terminal business indicators. Data attributes: user factors, tcp establishment success rate, core network factors, wireless network factors, city factors, conclusions, poor quality terminal business indicators, terminal brand, tac.

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 file transfer class poor quality rule is added. Functional process: The configuration data of the poor quality rule of the file transfer class is added. Sub-process description: read rule verification file transfer class poor quality rule configuration data. Data movement type: R. Data group: Configure data verification rules for file transfer class poor quality rules. Data attributes: file transfer class poor quality rule configuration data non-null check, data format check.

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: Timing triggers the generation task of the core network latency index data table. 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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: export of poor quality file transfer business data. Functional process: export of poor quality file transfer business data. 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: 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 table generation (GP business library). Sub-process description: Read VONR registration class quality closed-loop data. Data movement type: R. Data set: VONR registered quality closed-loop data. Data attributes: index normal value (7 points), index normal value (12 points), index deterioration value (1 point), index deterioration value (12 points), index deterioration value (7 points), index deterioration value (23 points) , The index normal value (20 points), VONR registration class quality closed loop.

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 download. Functional process: Download the initial registration details. Sub-process description: read the initial registration details. Data movement type: R. Data group: Initial registration detailed list data. Data attributes: total re-registration delay, UP2.4 terminal re-registration success times, terminal model, re-registration request times, initial registration request times, user, initial registration details, re-registration success times, city.

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 VONR call duration analysis data collection. Functional process: 5G voice VONR call duration analysis data analysis. Sub-process description: Read the analysis rules and analyze the 5G voice VONR call duration analysis data. Data movement type: R. Data group: 5G voice VONR call duration analysis data analysis rules. Data attributes: file conversion specification, abnormal character processing rules.

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, city ranking and trend of VoNR calling delay. Trigger event: VONR time delay ranking and trend data export. Functional process: Ranking and trend data export of VONR delay. Sub-process description: Read the ranking and trend export template of VONR delay. Data movement type: R. Data group: VONR delay ranking and trend export template. Data attribute: VONR time delay ranking and trend export template.

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 export. Functional process: export core network latency index data. 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, multi-dimensional aggregation and presentation. Trigger event: Export of prefecture-city registration aggregation dimension data. Functional process: Export of prefecture-city registration aggregation dimension data. 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: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Registration class poor quality rule configuration data export. Functional process: registration class poor quality rule configuration data export. Sub-process description: read the configuration data of registration class poor quality rules. Data movement type: R. Data group: registration class poor quality rule configuration data. Data attributes: configuration of poor-quality registration rules, success rate of re-registration, number, operator, poor-quality factors for individual user indicators, poor-quality factors for wireless indicators, poor-quality ratios, and poor-quality factors for prefecture-city indicators.

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 download. Functional process: Download the initial registration details. Sub-process description: Input the request for downloading the initial registration detailed list data. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

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, city ranking and trend of VoNR calling delay. Trigger event: EPSFB time delay ranking and trend data query. Functional process: query the ranking and trend data details of EPSFB delay. Sub-process description: Enter the query request for the ranking and trend data details of EPSFB delay. 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: data query of poor quality indicators for file transfers. Functional process: query the data list of poor quality indicators for file transfers. Sub-process description: Read the data list information of poor quality indicators of file transfer class. Data movement type: R. Data group: the data list information of poor quality indicators of the file transfer category. Data attribute: 5GM02 interface file upload total delay, 5GM02 interface file upload success rate, 5GM02 interface file download success rate, 5GM02 interface file download total times, 5GM02 interface file download failure times, 5GM02 interface file download total delay, 5GM02 interface file download time Upload failure times, 5GM02 interface file upload success times, 5GM02 interface file upload total times, file transfer quality indicators, 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: upload of business development indicator analysis data. Functional process: business development indicators analysis data upload. Sub-process description: Input the request for uploading business development indicator analysis data. Data movement type: E. Data group: upload operation instruction. Data attributes: upload time, upload address.

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: Registration class poor quality rule configuration data modification. Functional process: modify the configuration data of registration class poor quality rules. Sub-process description: modify the configuration data of registration class poor quality rules. Data movement type: W. Data group: the configuration data of registration category poor quality rules to be modified. Data attributes: core network indicators poor quality factors, registration category poor quality rule configuration, prefectural city indicator quality factors, number, whether it is effective, poor quality ratio, registration success rate, re-registration success rate, rule name.

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: Input the detailed inquiry request of the initial registration detailed list data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

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. Function process: 5G voice VOLTE call duration analysis data conversion. Sub-process description: Save 5G voice VOLTE call duration analysis data conversion data. Data movement type: W. Data group: converted 5G voice VOLTE call duration analysis data. Data attributes: VOLTE user voice response rate, city, VOLTE voice connection rate, VOLTE initial call voice connection rate, VOLTE initial call voice response rate, VOLTE re-registration success rate, VOLTE re-registration average delay, VOLTE final call voice The average connection delay, the average delay of VOLTE initial call voice connection, the analysis of 5G voice VOLTE call duration, and the final VOLTE call completion 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: P2P short message number demand prediction rule configuration data modification. Functional process: Modify the configuration data of P2P short message number demand prediction rules. Sub-process description: input P2P short message number demand prediction rule configuration data modification request. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification 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 quality perception analysis, poor quality cell analysis. Triggering event: Query of registration index data of poor-quality communities. Functional process: Query the details of registration index data of poor-quality communities. Sub-process description: Read the detailed data of registration indicators of poor-quality communities. Data movement type: R. Data group: detailed data of registration indicators of poor-quality communities. Data attributes: proportion of poor quality indicators, community, called initial registration success rate, prefecture, city, poor quality community registration indicators, number of poor quality indicators, initial registration success rate, average caller initial registration delay, caller initial registration 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 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: input file transfer indicator monitoring rule configuration data addition request. 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: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data query of key business factors of poor registration quality. Functional process: query the data list of key factors of poor registration quality business. Sub-process description: Input the data list query request for the key factors of poor registration quality business. 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: On-time delay indicator data collection. Functional process: data collection of on-time delay indicators. Sub-process description: read the connection delay index data server account information. Data movement type: R. Data group: connection delay index data server account information. Data attributes: connection delay index data server IP, account number, password.

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: Read the verification rules to verify the core network delay index data. Data movement type: R. Data group: core network latency index data validation rules. Data attributes: 5G core network total delay 1 measurement times (VNR2VNR), core network delay index, 5G core network total delay 1 (VoNR), 5G core network delay 2 (VNR2VNR), 5G core network total delay 1 (VNR2VNR), 5G core network total delay 2 (VNR2VNR), 5G core network delay 1 (VNR2VNR), 5G core network total delay 2 (VoNR), 5G core network total delay 2 measurement times (VNR2VNR).

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: data query of poor quality load indicators. Functional process: query the data list of poor quality load indicators. Sub-process description: Output the query result of the poor quality load index data list. Data movement type: X. Data group: query result of poor quality load index data list. Data attributes: UP2.4 terminal 5G message terminal growth rate, current 5G message user number, UP2.4 terminal 5G message user number, 5G message user load threshold, 5G message user growth rate, city, UP2.4 terminal 5G message terminal Number, date, and poor quality load indicators.

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: business indicator monitoring data query. Functional process: business indicator monitoring data list query. Sub-process description: Read the business indicator monitoring data list information. Data movement type: R. Data group: business indicator monitoring data list information. Data attributes: total delay from TCP chain establishment to the first transaction request, HTTP business success rate, index value, date, TCP establishment success rate, business indicator monitoring, city, TCP first transaction response 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: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: P2P poor quality terminal rule configuration data modification. Functional process: modify the configuration data of P2P poor quality terminal rules. Sub-process description: Return the modification result. Data movement type: X. Data group: P2P poor quality terminal rule configuration data modification results. Data attributes: modification time, change record.

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 export. Functional process: 5G voice EPSFB call duration analysis 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: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: The configuration data of the group sending poor quality terminal rule is added. Functional process: The configuration data of the group sending poor quality terminal rules is added. Sub-process description: Update the configuration data of the group sending poor quality terminal rules. Data movement type: W. Data group: newly added configuration data of group sending poor quality terminal rules. Data attributes: serial number, group sending success rate index threshold, proportion of cities with poor quality, operator, group sending total delay index threshold, group sending average delay index threshold, group sending poor quality terminal rule configuration, unit, rule name, and whether it is in effect.

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: VONR index closed-loop analysis data list query. Sub-process description: output the query result of VONR indicator closed-loop analysis data list. Data movement type: X. Data group: VONR indicator closed-loop analysis data list query results. Data attributes: the number of index degradation periods, the name of the degradation index, the month, the number of normal index periods, the number of normal days of the index, the closed-loop analysis of the VONR index, and the description of the deterioration 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: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: The configuration data of the file transfer class poor quality rule is added. Functional process: The configuration data of the poor quality rule of the file transfer class is added. Sub-process description: return the newly added result of the configuration data of the poor quality rule of the file transfer class. Data movement type: X. Data group: Added result of configuration data of poor quality rule for file transfer. 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: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR registration class quality closed-loop data query. Functional process: Detailed query of VONR registration quality closed-loop data. Sub-process description: Read VONR registration class quality closed-loop detailed data. Data movement type: R. Data set: VONR registration class quality closed-loop detailed data. Data attributes: VONR registration quality closed loop, description of degradation indicators, normal value of indicators (9 points), degradation value of indicators (22 points), degradation value of indicators (19 points), degradation value of indicators (0 points), degradation value of indicators (18 points) points), index deterioration value (21 points), index deterioration value (7 points), index normal value (21 points), index normal value (14 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 poor quality perception analysis, poor quality business rule configuration. Trigger event: Registration class poor quality rule configuration data display. Functional process: registration class poor quality rule configuration data display. Sub-process description: Input registration class poor quality rule configuration display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

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: Export of EPSFB voice demand forecast configuration data. Functional process: EPSFB voice demand forecast configuration data export. Sub-process description: read EPSFB voice demand forecast configuration data. Data movement type: R. Data group: EPSFB voice demand forecast configuration data. Data attribute: EPSFB final call voice connection rate poor quality threshold, EPSFB user voice response rate poor quality threshold, EPSFB network voice fallback success rate poor quality threshold, EPSFB initial call voice response rate poor quality threshold, EPSFB initial call voice network connection Poor rate threshold, EPSFB final call voice response rate poor quality threshold, EPSFB final call voice network completion rate poor quality threshold, EPSFB voice demand forecast configuration, EPSFB initial call voice connection rate poor quality threshold.

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 VONR call duration analysis data table is generated. Functional process: 5G voice VONR call duration analysis data table generation (GP service library). Sub-process description: generate 5G voice VONR talk time analysis abnormal data log writing. Data movement type: W. Data group: 5G voice VONR call duration analysis abnormal data log. Data attributes: error code, error description, 5G voice VONR call duration analysis 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: 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: 5G voice VONR user number analysis data list query. Sub-process description: Enter the query request for the 5G voice VONR user number analysis data list. Data movement type: E. Data group: list query operation instructions. 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 prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: P2P & group message warning data query. Functional process: P2P & group message early warning data list query. Sub-process description: Read P2P & group message warning data list information. Data movement type: R. Data group: P2P & group message warning data list information. Data attributes: P2P message UP2.4 terminal number, P2P message terminal number growth rate, P2P message terminal number load warning threshold, current UP2.4 terminal P2P message number, P2P & group message warning, P2P message number growth rate, P2P message number load Early warning threshold, the current number of P2P terminals.

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 export. Functional process: EPSFB fallback quality closed-loop data export. Sub-process description: read EPSFB fallback quality closed-loop data. Data movement type: R. Data group: EPSFB fallback quality closed-loop data. Data attribute: Deterioration index description, index deterioration value (18 points), index normal value (1 point), index normal value (20 points), index normal value (23 points), index normal value (15 points), index deterioration value (1 point), EPSFB fallback average delay, EPSFB fallback quality closed loop.

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 table is generated. Functional process: 5G voice EPSFB call duration analysis data table generation (GP service library). Sub-process description: read 5G voice EPSFB call duration analysis data. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data. Data attributes: 5G voice EPSFB call duration analysis, EPSFB call drop rate growth rate, EPSFB total call connection delay measurement times (redirection mode), EPSFB total connection delay measurement times (5T5), EPSFB called voice call times , EPSFB call duration growth rate, EPSFB total connection delay (5T5), EPSFB caller voice call 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: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: Export of indicator data for group messages sent by poor-quality terminals. Functional process: Export the indicator data of group messages sent by poor quality terminals. Sub-process description: read the export template of group message indicators of poor quality terminals. Data movement type: R. Data group: export template for group message indicators of poor quality terminals. Data attribute: Export template for indicators of group messages sent by poor-quality 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: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: P2P message detailed list data download. Functional process: P2P message detailed list data download. Sub-process description: save the download data of P2P message details. Data movement type: W. Data group: P2P message detailed list download data. Data attributes: Large Mode message sending total delay (P2P), Pager Mode message sending success rate (P2P), UP2.4 terminal Pager Mode message receiving delay (P2P), date, Large Mode MRSP message receiving success rate (P2P) , Large Mode message receiving delay (P2P), prefecture, city, Large Mode MRSP message sending success rate (P2P), P2P message list, UP2.4 terminal Large Mode message receiving success rate (P2P), Large Mode MRSP message receiving time extension (P2P).

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 collection. Functional process: 5G voice EPSFB user number analysis data collection. Sub-process description: call the 5G voice EPSFB user number analysis data collection interface. Data movement type: X. Data group: 5G voice EPSFB user number analysis data collection interface. Data attribute: 5G voice EPSFB user number analysis data collection interface api.