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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: 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 display. Functional process: 5G message terminal number demand forecasting rule configuration data display. Sub-process description: Read the configuration data of the 5G message terminal number demand prediction rule. Data movement type: R. Data group: 5G message terminal number demand forecasting rule configuration data. Data attributes: growth rate of the number of 5G message terminals in n+4, demand forecasting rule configuration for the number of 5G message terminals, growth rate of 5G message terminals in n+June, growth rate of 5G message terminals in n+July, 5G in n+May The growth rate of the number of message terminals, whether it is effective, the number of months of historical data forecast by indicators, the growth rate of the number of 5G message terminals in n+9 months, the growth rate of the number of 5G message terminals in n+2 months, the growth rate of the number of 5G message terminals in n+August, this The number of 5G messaging terminals per month.

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: The analysis data of the poor quality network element is modified. Functional process: modify the analysis data of poor quality network elements. Sub-process description: read the analysis data of poor-quality network elements. Data movement type: R. Data group: poor quality network element analysis data. Data attributes: analysis of poor quality network elements, number of poor quality indicators, VoNR (voice) drop rate, EPSFB (RTP downlink MOS), VoNR (voice) downlink RTP packet loss rate, VoNR (voice) uplink average MOS, VoNR (voice) ) Uplink RTP packet loss rate, VoNR call fallback 4G network connection rate, EPSFB (RTP downlink packet loss rate), EPSFB call drop 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, 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 table generation (GP service library). Sub-process description: Save the 5G voice EPSFB user number analysis data table to the GP table library. Data movement type: W. Data group: 5G voice EPSFB user number analysis data table. Data attributes: the number of initial registration failures of the calling party (EPSFB), the number of initial registration failures of the called party (EPSFB), the number of successful initial registrations (EPSFB), analysis of the number of 5G voice EPSFB users, the number of initial registration requests of the calling party (EPSFB), active users The growth rate of the number (EPSFB), and the number of successful initial registrations of the calling party (EPSFB).

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 indicator data upload. Functional process: core network latency index data upload. Sub-process description: Upload the core network delay index data. Data movement type: X. Data group: core network latency index data. Data attributes: 5G core network total delay 2 measurement times (VNR2VNR), 5G core network delay 2 (VoNR), core network delay index, 5G core network delay 1 (VNR2VNR), 5G core network total delay 2 ( VNR2VNR), 5G core network delay 1 (VoNR), 5G core network total delay 1 (VNR2VNR), 5G core network total delay 2 (VoNR), 5G core network total delay 1 measurement times (VoNR), 5G core Total network delay 2 measurement times (VoNR), 5G core network delay 2 (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: 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: Read the template for exporting the aggregation dimension of prefecture-city registration. Data movement type: R. Data group: the template for exporting aggregation dimensions of prefecture-city registration. Data attribute: the template for exporting the aggregation dimension of prefecture-city registration.

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: Registration indicator monitoring data export. Functional process: export registration indicator monitoring data. Sub-process description: Input registration indicators to monitor export requests. Data movement type: E. Data group: register indicator monitoring export operation instruction. 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 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: generate abnormal data processing of poor-quality group sending business. Data movement type: W. Data group: the bad-quality group sending business data after exception processing. 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, factor 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: 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: export of registered indicator analysis data. Functional process: export of registration index analysis data. Sub-process description: Input the registration class index analysis export request. Data movement type: E. Data group: registration index 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: 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: Generation of poor quality indicator data tables for business development (GP business library). Sub-process description: read the poor quality indicator data of business development category. Data movement type: R. Data group: business development category poor quality indicator data. Data attributes: total delay of the first TCP transaction response, number of HTTP service establishment failures (rejected by the client), average HTTP response delay, number of HTTP service establishment failures (server link establishment timeout), total TCP establishment delay (wireless side ), the number of successful HTTP services, poor quality indicators of service development, the total delay of TCP establishment, the success rate of HTTP services, the number of abnormal terminations of HTTP services (transmission timeout), and the total number of HTTP service requests.

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: Query the details of VONR voice index early warning data. Sub-process description: Input the detailed query request of VONR 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: 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: Return the modification result. Data movement type: X. Data group: the modification result of business development indicator monitoring rule configuration data. 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 demand, early warning of 5G voice indicators. Trigger event: export of VONR voice indicator warning data. Functional process: VONR voice index early warning 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: P2P & mass message early warning data table generation. Functional process: P2P & mass message early warning data statistics (HBASE library). Sub-process description: read statistical rules to perform statistical calculations on P2P & group message warning data. Data movement type: R. Data group: P2P & group message warning data statistical rules. Data attributes: summary conditions, summary dimensions.

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 collection. Sub-process description: Read the verification rules to verify the account information of the 5G voice VOLTE call duration analysis data server. Data movement type: R. Data group: 5G voice VOLTE call duration analysis data server IP verification rules. Data attribute: 5G voice VOLTE call duration analysis data server IP, account number, password verification rules.

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: Export the poor quality load index data. Data movement type: X. Data group: poor quality load index data. Data attributes: UP2.4 terminal 5G message terminal growth rate, poor quality load index, 5G message user load threshold, 5G message user growth rate, city, date, UP2.4 terminal 5G message terminal number, current 5G message user number, Growth rate of UP2.4 terminal 5G message 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 rule configuration. Trigger event: modification of the configuration data of the business development class poor quality rule. Functional process: modify the configuration data of business development class poor quality rules. Sub-process description: modify the configuration data of the business development class poor quality rule. Data movement type: W. Data group: the configuration data of business development poor quality rules to be modified. Data attributes: individual user index poor quality factors, TCP establishment success rate, HTTP establishment success rate, wireless index poor quality factors, rule name, business development category poor quality rule configuration, operator, number.

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: Cell VoNR call VoNR delay data query. Functional process: Query the details of VoNR delay data of VoNR calls in the community. Sub-process description: Output the details query result of the VoNR call VoNR delay data in the cell. Data movement type: X. Data group: query result of VoNR call delay data details of the cell VoNR. Data attributes: IMS domain total delay (VNR2VNR), cell VoNR call VoNR delay, 5G core network total delay 1 measurement times (VNR2VNR), date, wireless total delay (VNR2VNR), called response total delay (VNR2VNR ), the total response delay of the called party (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: 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: read the configuration data of VOLTE voice quality delay rule. Data movement type: R. Data group: VOLTE poor voice quality delay rule configuration data. Data attributes: core network index quality factors (poor quality core network proportion), terminal quality index number proportion, VOLTE voice quality delay rule configuration, network element quality index number proportion, cell quality index number proportion Compared with, the average delay of VOLTE initial registration, the average delay of VOLTE re-registration, the delay of successful third-party registration, and the average delay of VOLTE voice connection.

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: Modification of the configuration data of the group sending poor quality terminal rules. Functional process: Modify the configuration data of group sending poor quality terminal rules. Description of the sub-process: Input a request for modifying the configuration data of the group-sent terminal rules with poor quality. 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: export of business development indicator analysis data. Functional process: business development indicators 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: 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: data query for the analysis data of poor-quality terminal connection indicators. Functional process: Query the details of the analysis data of poor-quality terminal connection indicators. Sub-process description: Output the detailed query results of the terminal connection indicator factor analysis data of poor quality. Data movement type: X. Data group: query results of detailed analysis data of poor-quality terminal connection indicators. Data attributes: factor analysis of poor-quality terminal connection indicators, wireless network factors, terminal models, city factors, user factors, proportion of poor-quality indicators, number of poor-quality indicators, success rate of EPS fallback, fallback to 4G network after VoNR calls are connected 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, multi-dimensional aggregation and presentation. Triggering event: Community report aggregate dimension data export. Functional process: Community reporting and aggregation dimension data export. Sub-process description: Read the aggregated dimension data reported by the community. Data movement type: R. Data group: aggregate dimension data reported by the community. Data attributes: cities, Pager Mode message sending success rate (group sending), re-registration success rate, Chatbot downlink message success rate to users, Large Mode message receiving success rate (P2P), Pager Mode message sending success rate (P2P), Large Mode message sending success rate (P2P), Pager Mode message receiving success rate (group sending), cell reporting aggregation dimension, 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 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 analysis. Sub-process description: Save the 5G voice VOLTE call duration analysis data to the GP database. Data movement type: W. Data group: 5G voice VOLTE call duration analysis data. Data attributes: cities, VOLTE re-registration success rate, VOLTE initial call voice connection rate, VOLTE registration average delay, 5G voice VOLTE call duration analysis, VOLTE final call voice network completion rate, VOLTE final call voice connection average time Delay, date.

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: read the IMS domain delay index export template. Data movement type: R. Data group: IMS domain latency index export template. Data attribute: IMS domain delay index 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: 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: Query the details of EPSFB fallback quality closed-loop data. Sub-process description: Enter the EPSFB fallback quality closed-loop data query request for 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: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: Query the ranking data of registered cities and cities. Functional process: query the list of ranking data of registered index cities. Sub-process description: output the query results of the list of registered index prefecture-city ranking data. Data movement type: X. Data group: the query result of the ranking data list of registered index prefectures and cities. Data attributes: periodical registration success rate, periodical registration total delay, mobility registration total delay, prefecture and city, common UE de-registration success rate, registration index prefecture and city ranking, emergency registration total delay, initial registration success Rate, total initial registration delay, sorting level.

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 indicator data of the number of 5G message users. Data movement type: R. Data group: 5G message user number indicator data. Data attributes: indicators of the number of 5G message users, the success rate of messages uplinked from users to Chatbot, the total number of messages downlinked from Chatbot to users, the total delay of messages downlinked from Chatbot to users, the average delay of messages downlinked from Chatbot to users, and the number of messages uplinked from users to users. The total number of messages from Chatbot, the number of successful messages from users to Chatbot, and the number of successful messages from Chatbot to users.

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: VONR poor voice quality delay rule configuration data modification. Functional process: VONR poor voice quality delay rule configuration data modification. Sub-process description: modify the configuration data of VONR voice quality delay rule. Data movement type: W. Data group: configuration data of VONR poor voice quality delay rule to be modified. Data attributes: core network indicators poor quality factor (proportion of poor quality core network), VONR initial registration average delay, number of indicators participating in poor quality cell judgment, ratio of cell quality indicators, VONR poor voice quality delay rule configuration , the proportion of poor quality indicators of terminals, and the factors of poor quality indicators of prefectural cities (proportion of poor quality prefectures and cities).

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: Call the 5G voice VOLTE call duration analysis data conversion interface. Data movement type: X. Data group: 5G voice VOLTE call duration analysis data conversion interface. Data attribute: 5G voice VOLTE call duration analysis data conversion 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: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: The business development indicator monitoring rule configuration data is added. Functional process: Added configuration data for business development indicator monitoring rules. Sub-process description: return the new result of configuration data of business development indicator monitoring rules. Data movement type: X. Data group: the newly added results of the business development 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: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: modification of terminal rule configuration data with poor service development quality. Functional process: modification of terminal rule configuration data for poor business development. Sub-process description: Modify the configuration data of the terminal rule with poor service development quality. Data movement type: W. Data group: configuration data of terminal rules with poor business development quality to be modified. Data attributes: http establishment success rate index threshold, whether it is effective, tcp establishment success rate index threshold, number, rule name, operator, http establishment average delay index threshold, proportion of poor quality cities, business development poor quality terminal rule configuration .

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 export. Functional process: 5G voice EPSFB call duration prediction 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: 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: Generate Chatbot business indicator cause value abnormal data processing. Data movement type: W. Data group: Chatbot business indicator cause value data after exception handling. 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: 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: modify the configuration data of P2P short message number demand prediction rules. Data movement type: W. Data group: the configuration data of the P2P short message number demand prediction rule to be modified. Data attributes: growth rate of P2P messages in n+3 months, growth rate of P2P messages in n+2 months, P2P SMS demand forecast rule configuration, growth rate of P2P messages in n+4 months, growth rate of P2P messages in n+1 months , the number of P2P messages this month, the growth rate of the number of P2P messages in n+8 months, and the number of months for which the indicator predicts historical data.

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 display. Functional process: P2P poor quality terminal rule configuration data display. Sub-process description: Input P2P poor quality terminal rule configuration 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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data export. Functional process: UP2.4 terminal P2P SMS prediction rule configuration data export. Sub-process description: Input UP2.4 terminal P2P short message prediction rule configuration export request. Data movement type: E. Data group: UP2.4 terminal P2P SMS prediction rule configuration 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: intelligent analysis of VONR calling delay, call auxiliary delay statistics. Trigger event: N11 interface delay data download. Functional process: N11 interface delay data download. Sub-process description: read the delay data of N11 interface. Data movement type: R. Data group: N11 interface delay data. Data attributes: N11 interface delay, ReleaseSMContext success total delay, N1N2MessageTransfer success times, UpdateSMContext request times, CreateSMContext success times, UpdateSMContext success total delay, N1N2MessageTransfer 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: data query of connection delay index. Functional process: Query the details of connection delay index data. Sub-process description: Read the detailed data of the on-delay index. Data movement type: R. Data group: detailed data of connection delay index. Data attributes: connection delay (VNR2VNR), total connection delay measurement times (VoNR), connection delay index, wireless total delay (VoNR), wireless delay (VoNR), connection delay (VoNR) , The total connection delay measurement times (VNR2VNR), the total wireless delay (VNR2VNR), the wireless delay (VNR2VNR), the total connection delay (VNR2VNR), the total wireless delay 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 quality perception analysis, 5G message quality terminal analysis. Trigger event: Query data of poor-quality terminal business indicators. Functional process: Inquiry about the details of the business index data of poor-quality terminals. Sub-process description: output the detailed query results of poor-quality terminal business index data. Data movement type: X. Data group: detailed query results of poor-quality terminal business indicator data. Data attributes: user factors, poor quality terminal business indicators, success rate of tcp establishment, wireless network factors, terminal brand, core network factors, http average delay, tcp average delay, city factors.

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: read P2P message detailed list data. Data movement type: R. Data group: P2P message detailed list 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, Large Mode MRSP message sending success rate (P2P), P2P message details, 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: 5G voice quality perception analysis, poor quality terminal analysis. Trigger event: Analysis data query of call quality index factors of poor-quality terminals. Functional process: Query the details of the analysis data of the call quality index factors of poor-quality terminals. Sub-process description: Read the detailed data of the call quality index factor analysis of the terminal with poor quality. Data movement type: R. Data group: Detailed data of analysis of call quality indicators of poor quality terminals. Data attributes: number of poor quality indicators, terminal brand, VoNR (voice) downlink average MOS, VoNR (voice) downlink RTP packet loss rate, city factors, factor analysis of poor quality terminal call quality indicators, conclusion, core network factors, poor quality Index proportion, wireless network factors, user factors.

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 statistics (HBASE library). Sub-process description: read 5G voice VONR user number analysis data. Data movement type: R. Data group: 5G voice VONR user number analysis data. Data attribute: the number of successful establishment of VoNR dedicated load (calling), the number of successful establishment of VoNR dedicated load, the number of establishment of VoNR untriggered dedicated load (calling), the number of establishment of VoNR dedicated load, the number of failed establishment of VoNR dedicated load (calling), VoNR dedicated load establishment times (called), date, VoNR untriggered dedicated load establishment times (called), 5G voice VONR user number analysis, VoNR dedicated load establishment failure times, VONR active user number 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: 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: Read the ranking and trend detail data of EPSFB delay. Data movement type: R. Dataset: EPSFB latency ranking and trend detail data. Data attributes: EPSFB drop-back average delay, prefecture and city, ranking and trend of EPSFB delay, EPSFB initial call drop-back success times, EPSFB final call connection times, EPSFB initial call connection average delay, districts and counties, EPSFB initial call drop-back average latency.

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 connection rule configuration data modification. Functional process: Modify the configuration data of EPSFB poor voice quality connection rules. Sub-process description: update the EPSFB poor voice quality connection rule configuration data. Data movement type: W. Data group: modified EPSFB poor voice quality connection rule configuration data. Data attributes: EPSFB call fallback 4G network connection rate, number of users in the cell, EPSFB voice quality poor connection rule configuration, core network indicator quality factor (poor quality core network proportion), number of indicators participating in poor quality cell judgment, network The proportion of poor quality indicators in units, the proportion of poor quality indicators in residential areas, the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the proportion of poor quality indicators in terminals, and the success rate of 4G network drop after EPSFB calls are connected.

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 registration indicator data. Functional process: Export of poor-quality terminal registration index data. Sub-process description: Export the poor-quality terminal registration index data. Data movement type: X. Data group: poor-quality terminal registration indicator data. Data attributes: tac, average registration delay, average registration delay, poor-quality terminal registration indicators, conclusions, city factors, wireless network factors, terminal models, and user 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, call auxiliary delay statistics. Trigger event: N26 interface delay data query. Functional process: Query the details of the delay data of the N26 interface. Sub-process description: Read the detailed data of the N26 interface delay. Data movement type: R. Data group: N26 interface delay details data. Data attribute: FWD (RELOC (CMP (NOTIF total delay))), N26 interface delay, CONTEXT (REQ success times), FWD (RELOC (REQ request times)), FWD (RELOC (CMP (NOTIF request times)) ), CONTEXT (total REQ delay), CONTEXT (number of REQ attempts).

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: output the query result of the data list of poor quality indicators for file transfer. Data movement type: X. Data group: the query result of the poor quality indicator data list 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: 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-lapse ranking and trend data export. Functional process: EPSFB latency ranking and trend data export. Sub-process description: Read ranking and trend data of EPSFB delay. Data movement type: R. Dataset: Ranking and trending data for EPSFB latency. Data attributes: EPSFB initial call connection average delay, EPSFB initial call drop-back total times, districts and counties, EPSFB drop-back average delay, EPSFB final call drop-back total times, EPSFB final call drop-back average delay, EPSFB delay ranking and trend , Prefectural cities, EPSFB final call drop 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 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: read the P2P indicator monitoring rule configuration data. Data movement type: R. Data group: P2P indicator monitoring rule configuration data. Data attributes: dynamic threshold position, indicator English name, p2p business indicator, KPI proportion, indicator Chinese name, poor quality threshold, P2P indicator monitoring rule configuration, comparison conditions.

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: P2P index city trend analysis data query. Functional process: P2P index city trend analysis data detailed query. Sub-process description: Output P2P index city trend analysis data detailed query results. Data movement type: X. Data group: P2P index city trend analysis data detailed query results. Data attributes: Pager Mode message sending total delay (P2P), cities, Large Mode message sending total delay (P2P), P2P index city trend analysis, Large Mode MRSP message sending times (P2P), Pager Mode message receiving times (P2P), Large Mode message sending times (P2P), Large Mode MRSP message sending success times (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 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 poor quality load indicator data. Data movement type: R. Data group: poor quality load index data. 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: 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 conversion. Sub-process description: Input 5G voice VONR talk time analysis data conversion request. Data movement type: E. Data group: 5G voice VONR call duration analysis data conversion request. Data attributes: data time, conversion method.

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: export of file transfer quality indicator data. Functional process: file transfer class poor quality indicator data export. Sub-process description: read file transfer class poor quality indicator data. Data movement type: R. Data group: file transfer class poor quality indicator data. Data attributes: 5GM02 interface file upload success rate, 5GM02 interface file upload total delay, 5GM02 interface file download success times, 5GM02 interface file upload failure times, 5GM02 interface file upload success times, 5GM02 interface file download total times, 5GM02 interface file download times Total delay, poor quality index of file transfer, number of 5GM02 interface file download failures, total number of 5GM02 interface file uploads, 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: Generate business development indicator analysis data table. Functional process: business development indicators analysis data statistics (HBASE library). Sub-process description: read the analysis data of business development indicators. Data movement type: R. Data group: analysis data of business development indicators. Data attributes: the number of successful authentications initiated by the terminal to the storage server, the number of successful TCP establishments (core network), the number of successful TCP establishments (wireless side), the number of successful HTTP services, the total delay of HTTP responses, the number of TCP establishment requests, the total number of TCP establishments Latency (core network), analysis of service development indicators, number of successful TCP establishments.

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 collection. Functional process: registration delay index data collection. Sub-process description: Save the registration delay index collection data. Data movement type: W. Data group: register latency indicator data. Data attributes: re-registration average delay, registration average delay, third-party registration success times, third-party registration success delay, registration delay index, re-registration success times, initial registration success times, third-party registration total times, re-registration The total number of times, the average initial registration delay, and the total number of initial registrations.

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: export of business development indicator monitoring rule configuration data. Functional process: business development indicator monitoring rule configuration data export. Sub-process description: Export the business development indicator monitoring rule configuration data. Data movement type: X. Data group: business development indicator monitoring rule configuration data. Data attributes: effective or not, indicator Chinese name, KPI proportion, comparison condition, business development indicator, indicator English name, business development indicator monitoring rule configuration, poor quality threshold.

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 export template of poor-quality terminal business indicators. Data movement type: R. Data group: export template for business indicators of poor quality terminals. Data attribute: export template for poor-quality terminal business 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency index data query. Functional process: query the core network latency index data list. Sub-process description: output the query result of the core network latency index data list. Data movement type: X. Data group: the query result of the core network latency index data list. Data attribute: 5G core network total delay 1 (VoNR), 5G core network delay 2 (VoNR), 5G core network delay 2 (VNR2VNR), 5G core network delay 1 (VNR2VNR), 5G core network delay 1 (VoNR), core network delay index, 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: 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: Input P2P & group message warning 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 news indicators, city ranking and trend analysis. Trigger event: Export of file transfer indicator city trend analysis data. Functional process: file transfer indicators, city trend 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: 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: read rule verification data of delay rule configuration data for poor voice quality of VOLTE. Data movement type: R. Data group: Configure data verification rules for VOLTE poor voice quality delay rules. Data attributes: VOLTE poor voice quality delay 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: 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: save the download data of the initial registration details. Data movement type: W. Data group: initial registration details download 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: 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 P2P service data query. Functional process: list query of poor quality P2P business data. Sub-process description: Input a query request for the list of poor-quality P2P service data. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, 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 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: read the detailed data of EPSFB voice index warning. Data movement type: R. Data group: EPSFB voice indicator warning details data. Data attributes: EPSFB voice call duration growth rate, EPSFB voice call duration, EPSFB registered user number growth rate, EPSFB voice index warning, EPSFB registered user number, EPSFB voice fallback success rate, EPSFB voice 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: 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 details of terminal information and data with poor core network quality. Sub-process description: read the detailed data of terminal information with poor core network quality. Data movement type: R. Data group: detailed data of terminal information with poor core network quality. Data attributes: http average response delay, 5GM02 interface file download average delay, 5GM02 interface file upload average delay, date, 5GM02 interface file download success rate, tac, core network quality terminal information, UP2.4 terminal initial registration success rate, 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, multi-dimensional aggregation and presentation. Triggering event: user-aware aggregation dimension data query. Functional process: user-perceived detailed query of aggregated dimension data. Sub-process description: Input user-aware aggregation dimension data details query request. 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, 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: read message sending and receiving analysis (P2P) data list information. Data movement type: R. Data group: message sending and receiving analysis (P2P) data list information. Data attributes: Large Mode message receiving delay (P2P), Pager Mode message receiving success times (P2P), Large Mode MRSP message sending times (P2P), Pager Mode message receiving times (P2P), message sending and receiving analysis (P2P), Large Mode message sending total delay (P2P), Large Mode message sending times (P2P), Pager Mode message sending total delay (P2P), Pager Mode message sending success times (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, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data export. Functional process: P2P indicator monitoring rule configuration data export. Sub-process description: read the P2P indicator monitoring rule configuration export template. Data movement type: R. Data group: P2P indicator monitoring rule configuration export template. Data attribute: P2P indicator monitoring rule configuration export template.

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 voice quality is poor and the connection rule configuration data is deleted. Functional process: Delete the connection rule configuration data for poor VOLTE voice quality. Sub-process description: return the deletion result. Data movement type: X. Data group: Deletion result of VOLTE poor voice quality connection rule configuration data. 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 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: update the configuration data of the 5G message terminal number demand prediction rule. Data movement type: W. Data group: the configuration data of the revised 5G messaging terminal demand forecasting rules. Data attributes: the number of months of historical data for index forecasting, the number of 5G messaging terminals this month, the growth rate of n+ April 5G messaging terminals, the growth rate of 5G messaging terminals in June, the configuration of demand forecasting rules for 5G messaging terminals, n+ The growth rate of the number of 5G message terminals in May, the growth rate of the number of 5G message terminals in n+August, the growth rate of the number of 5G message terminals in n+February, the growth rate of the number of 5G message terminals in n+September, the number of 5G message terminals in n+1 month Growth rate, n+ growth rate of the number of 5G messaging terminals in July.

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 registration quality. Functional process: display the configuration data of the terminal rules with poor registration quality. Sub-process description: The output shows the configuration data of terminal rules with poor registration quality. Data movement type: X. Data group: register configuration data for poor-quality terminal rules. Data attributes: operator, registration average delay index threshold, re-registration average delay index threshold, number, unit, poor registration quality terminal rule configuration, re-registration success rate index threshold, registration success rate index threshold.

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 export. Functional process: UP2.4 terminal P2P SMS prediction rule configuration data export. Sub-process description: export UP2.4 terminal P2P short message prediction rule configuration data. Data movement type: X. Data group: UP2.4 terminal P2P SMS prediction rule configuration data. Data attributes: growth rate of UP2.4 terminal P2P messages in n+September, growth rate of UP2.4 terminal P2P messages in n+June, UP2.4 terminal P2P SMS prediction rule configuration, n+July UP2.4 terminal P2P The growth rate of the number of messages, the growth rate of the number of P2P messages on UP2.4 terminals in n+8 months, whether it is effective, the growth rate of the number of P2P messages on UP2.4 terminals in n+1 months, the growth rate of the number of P2P messages on UP2.4 terminals in n+4 months.

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: The analysis data of poor-quality terminals is added. Functional process: The analysis data of poor-quality terminals is added. Sub-process description: Return the newly added results of poor-quality terminal analysis data. Data movement type: X. Data group: newly added results of poor quality terminal analysis 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: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: initial registration details query. Functional process: initial registration detailed list data list query. Description of the sub-process: Input the query request for the initial registration detailed list 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, 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: Enter a request for querying the details of the aggregated indicator data of the terminal business class. 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: 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: Input a new request for VOLTE voice quality delay rule configuration data. 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 service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VOLTE voice demand forecast configuration data query. Functional process: VOLTE voice demand forecast configuration data list query. Sub-process description: Input VOLTE voice demand forecast configuration 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: 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: Input a P2P poor-quality terminal rule configuration data modification request. 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: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: bad-quality terminal chatbot business data query. Functional process: Query the details of chatbot business data of poor-quality terminals. Sub-process description: Output the query result of chatbot business data details of poor-quality terminals. Data movement type: X. Data group: query results of chatbot business data details of poor-quality terminals. Data attributes: average chatbot service establishment delay, terminal model, low-quality terminal chatbot service, city factors, user factors, wireless network factors, chatbot service establishment 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 connected quality closed-loop data query. Functional process: VONR connected quality closed-loop data list query. Sub-process description: output the query result of VONR connection quality closed-loop data list. Data movement type: X. Data group: query result of VONR connection quality closed-loop data list. Data attributes: index deterioration value (19 points), index deterioration value (4 points), VONR connected quality closed loop, index deterioration value (14 points), index normal value (5 points), index deterioration value (23 points), Index normal value (20 points), index normal value (10 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: 5G voice quality perception analysis, poor quality cell analysis. Triggering event: Query of registration index data of poor-quality communities. Functional process: Query the list of registration index data of poor-quality communities. Sub-process description: output the query results of the poor quality community registration index data list. Data movement type: X. Data group: the query result of the registration index data list of poor-quality residential areas. Data attributes: cell, number of poor quality indicators, average initial registration delay, calling initial registration success rate, poor quality community registration indicators, initial registration success rate, called initial registration success rate, called initial registration average delay, The 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: 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: read IMS domain delay index data. Data movement type: R. Data group: IMS domain latency index 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: 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. Trigger event: Inquiry of latency index data of poor-quality cells. Functional process: Query the data list of time delay indicators of poor quality cells. Sub-process description: Read the list information of the time-delay index data of poor-quality cells. Data movement type: R. Data group: list information of time delay index data for poor quality cells. Data attributes: average video connection delay, average voice downlink delay (RTCP), re-registration average delay, voice uplink average delay (RTCP), registration average delay, voice average delay (RTCP), poor quality cell Latency indicators, voice downlink average delay (V2V (RTCP)), cell.

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

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 connection rule configuration data is added. Functional process: The EPSFB poor voice quality connection rule configuration data is added. Sub-process description: read rule verification EPSFB poor voice quality connection rule configuration data. Data movement type: R. Data group: EPSFB poor voice quality connection rules configure data verification rules. Data attribute: EPSFB poor voice quality connection 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 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 export. Functional process: 5G voice EPSFB call duration prediction analysis data export. Sub-process description: export 5G voice EPSFB call duration prediction analysis data. Data movement type: X. Data group: 5G voice EPSFB call duration prediction analysis data. Data attributes: EPSFB voice hour peak call duration in n+2 months, n-4 month EPSFB voice hour peak call duration, 5G voice EPSFB call duration forecast analysis, date, n-May EPSFB voice hour peak call duration, n +1 month's EPSFB voice-hour peak call duration, n+3 month's EPSFB voice-hour peak call time, n-1 month's EPSFB voice-hour peak call time, n-3 month's EPSFB voice-hour peak call 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: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data query. Functional process: 5G voice EPSFB call duration analysis data list query. Sub-process description: Read the 5G voice EPSFB call duration analysis data list information. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data list information. Data attributes: EPSFB total call connection delay measurement times (switching mode), 5G voice EPSFB call duration analysis, EPSFB called voice call times, EPSFB call drop rate growth rate, EPSFB total connection delay (5T5), EPSFB connection The number of total communication delay measurements (5T5), the growth rate of EPSFB call duration, and the total connection delay of EPSFB (5T4).

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: Input the VOLTE voice service quality monitoring indicator 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: 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: Read the template for exporting poor quality indicators of business development. Data movement type: R. Data group: template for exporting poor quality indicators for business development. Data attribute: export template of poor quality indicators for business development.

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: Cell EPSFB delay data export. Functional process: Cell EPSFB delay data export. Sub-process description: Read cell EPSFB delay derivation template. Data movement type: R. Data group: cell EPSFB delay export template. Data attribute: cell EPSFB delay 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: intelligent forecasting of 5G message business demand, 5G message demand and forecasted city rankings and trends. Trigger event: UP2.4 terminal user number forecast data query. Functional process: UP2.4 terminal user number forecast data list query. Sub-process description: Input UP2.4 terminal user number prediction 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 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: query the details of 5G message user & terminal early warning data. Sub-process description: Input 5G message user & terminal early warning data details query request. 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: P2P poor quality indicator data download. Functional process: P2P type poor quality indicator data download. Sub-process description: save the download data of P2P poor quality indicators. Data movement type: W. Data set: download data of P2P poor quality indicators. 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: 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 table generation (GP service library). Sub-process description: Generate a 5G voice VOLTE user number analysis data table. Data movement type: W. Data group: 5G voice VOLTE user number analysis data table. Data attributes: city, date, VOLTE initial registration average delay, VOLTE re-registration average delay, VOLTE network voice connection rate, 5G voice VOLTE user number analysis, VOLTE final call voice network connection rate, VOLTE initial call voice connection rate Average communication 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 monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Triggering event: terminal business class aggregation indicator data query. Functional process: Query the list of aggregation index data of terminal business class. Description of the sub-process: Enter the query request for the data list of aggregation indicators of the terminal business class. 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 business demand, 5G message demand and forecasted city rankings and trends. Trigger event: UP2.4 terminal user number forecast data query. Functional process: UP2.4 terminal user number forecast data list query. Sub-process description: Output UP2.4 terminal user number prediction data list query results. Data movement type: X. Data group: UP2.4 end user number prediction data list query result. Data attribute: n-the number of 5G message users of UP2.4 terminals in February, n-the number of 5G message users of UP2.4 terminals in January, n-the number of 5G message users of UP2.4 terminals in May, n-the number of UP2.4 terminals in April The number of 5G message users, the number of 5G message users of UP2.4 terminals in n+1 month, districts and counties, the forecast of the number of UP2.4 terminal users, the number of 5G message users of UP2.4 terminals 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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: data query of poor quality load indicators. Functional process: Query the details of poor quality load index data. Sub-process description: Output the detailed query results of poor quality load index data. Data movement type: X. Data group: detailed query results of poor quality load indicator data. Data attributes: poor quality load indicators, growth rate of UP2.4 terminal 5G message terminals, number of 5G message terminals, cities, number of 5G message users of UP2.4 terminals, growth rate of 5G message users of UP2.4 terminals, current number of 5G message users ,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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data modification. Functional process: UP2.4 terminal P2P SMS prediction rule configuration data modification. Sub-process description: update UP2.4 terminal P2P short message prediction rule configuration data. Data movement type: W. Data group: modified UP2.4 terminal P2P short message prediction rule configuration data. Data attributes: the growth rate of the number of P2P messages on UP2.4 terminals in n+8 months, the growth rate of the number of P2P messages on UP2.4 terminals in n+September, whether it is effective, the growth rate of the number of P2P messages on UP2.4 terminals in n+5 months, this month The number of UP2.4 terminal P2P messages, the configuration of UP2.4 terminal P2P SMS forecasting rules, the growth rate of UP2.4 terminal P2P messages in n+4 months, and the number of months of indicator forecast historical data.

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 analysis data of 5G voice VOLTE users. Data movement type: R. Data group: 5G voice VOLTE user number analysis data. Data attributes: VOLTE network voice connection rate, VOLTE initial call voice response rate, VOLTE final call voice connection average delay, VOLTE final call voice response rate, VOLTE initial call voice network completion rate, VOLTE final call voice completion rate , VOLTE re-registration success rate, cities, 5G voice VOLTE user number analysis, VOLTE re-registration average delay, VOLTE initial call voice connection 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 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: Update the configuration data of the 5G message user number demand prediction rule. Data movement type: W. Data group: the configuration data of the modified 5G message user number demand prediction rule. 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.