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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: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message terminal number indicator data query. Functional process: Query the list of 5G message terminal number index data. Sub-process description: Read the 5G message terminal number index data list information. Data movement type: R. Data group: 5G message terminal number index data list information. Data attributes: UP2.4 terminal Pager Mode message reception times (P2P), UP2.4 terminal Large Mode message sending average delay (P2P), UP2.4 terminal Large Mode message receiving delay (P2P), UP2.4 terminal Pager Mode message sending success times (P2P), UP2.4 terminal initial registration success times, UP2.4 terminal Pager Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message receiving success times (P2P), UP2.4 Terminal Large Mode message sending success rate (P2P), 5G message terminal number 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 index data query. Functional process: query IMS domain delay index data list. Sub-process description: Input the IMS domain delay index data list query request. 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality registration rule configuration data deletion. Functional process: Delete the registration rule configuration data for VONR poor voice quality. Sub-process description: Input the VONR poor voice quality registration rule configuration data deletion request. Data movement type: E. Data group: delete operation instruction. Data attributes: delete person, delete time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data table is generated. Functional process: IMS domain delay index data statistics (HBASE library). Sub-process description: Input the IMS domain delay index 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, monitoring of 5G message indicators. Trigger event: Chatbot business indicator monitoring data export. Functional process: Chatbot business indicator monitoring data export. Sub-process description: read Chatbot business indicator monitoring data. Data movement type: R. Data group: Chatbot business indicator monitoring data. Data attributes: UP2.4 terminal Chatbot downlink message success times to users, UP2.4 terminal user uplink message success rate to Chatbot, UP2.4 end user uplink message total delay to Chatbot, Chatbot business indicator monitoring, Chatbot downlink The total delay of messages to users, the success rate of UP2.4 terminal Chatbot downlink messages to users, cities, the number of times Chatbot downlinks messages to users successfully, the total number of Chatbot downlink messages to users, and the uplink messages from UP2.4 terminal users to Chatbot of message successes.

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 collection interface. Sub-process description: read 5G voice VONR call duration analysis data. Data movement type: R. Data group: 5G voice VONR call duration analysis data. Data attributes: times of VoNR calls dropped to 4G network after connected, 5G voice VONR call duration analysis, times of VoNR calls dropped to 4G network after connected (called), total connection delay (VoNR), VoNR calls dropped to 4G after connected The number of normal releases (calling), the number of normal releases after the VoNR call is connected, the number of normal releases after the VoNR call is connected (called).

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: read 5G voice VONR call duration analysis data. Data movement type: R. Data group: 5G voice VONR call duration analysis data. Data attributes: date, total connection delay measurement times (VoNR), normal release times (called) after VoNR calls are connected, times of 4G normal releases after VoNR calls are connected (called), VoNR calls fall back to 4G network connection times The number of calls (called), the number of 4G normal release times after the VoNR call is connected, the growth rate of VONR call duration, the number of times the VoNR call is not connected to the 4G network (calling), 5G voice VONR call duration analysis, cities, VoNR calls Reduce the number of 4G network connections (calling calls).

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: Return the modification result. Data movement type: X. Data group: the modification result of poor quality network element analysis data. 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: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: EPSFB voice service quality monitoring indicator data query. Functional process: Query the details of EPSFB voice service quality monitoring indicator data. Sub-process description: read EPSFB voice service quality monitoring indicator detailed data. Data movement type: R. Data group: detailed data of EPSFB voice service quality monitoring indicators. Data attributes: EPSFB final call voice connection rate, EPSFB voice uplink average delay, EPSFB voice connection rate, EPSFB voice connection average delay, EPSFB final call voice network completion rate, EPSFB initial call voice response rate, EPSFB voice Service quality monitoring indicators, EPSFB originating voice connection rate, EPSFB originating voice connection average delay, date, city.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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: Return the new result of the 5G message terminal number demand forecasting rule configuration data. Data movement type: X. Data group: The newly added results of the 5G message terminal number demand forecasting rule configuration data. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data table generation. Functional process: 5G message user & terminal early warning data statistics (HBASE library). Sub-process description: Input 5G message user & terminal early warning data statistics request. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

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: register the latency index data collection interface. Sub-process description: Receive registration delay index data collection request. Data movement type: E. Data group: Register latency indicator data collection request. Data attributes: collection address, time, collection quantity, source file 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: 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: export poor-quality file transfer business data. Data movement type: X. Data group: poor quality file transfer business data. Data attributes: factors of poor file transfer quality and city, poor file transfer service, 5GM02 interface file upload success rate, 5GM02 interface file download average delay, city, city, file transfer quality core network factor, 5GM02 interface file upload success times.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 the configuration data of connection rules for poor voice quality of EPSFB. Data movement type: R. Data group: EPSFB poor voice quality connection rule configuration data. Data attributes: EPSFB voice quality poor connection rule configuration, network element quality indicator ratio, individual user indicator quality factor (according to the number of attempts), core network indicator quality factor (poor quality core network proportion), EPSFB call Dropped 4G network connection rate, dropped 4G network success rate after EPSFB call was connected, proportion of poor terminal quality indicators, EPS dropped 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: 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: Input N26 interface delay data details query request. 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 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: update the poor-quality terminal analysis data. Data movement type: W. Data group: newly added poor quality terminal analysis data. Data attributes: terminal model, EPS fallback success rate, proportion of poor quality indicators, tac, terminal brand, prefecture and city factors, analysis of poor quality terminals, average initial registration delay.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data table is generated. Functional process: 5G voice VONR user number analysis data table generation (GP service library). Sub-process description: generate 5G voice VONR user number analysis abnormal data log write. Data movement type: W. Data group: 5G voice VONR user number analysis abnormal data log. Data attributes: error code, error description, 5G voice VONR user number analysis exception source data information.

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: Group sending indicator monitoring data query. Functional process: query the group sending index monitoring data list. Sub-process description: Read the group sending indicator monitoring data list information. Data movement type: R. Data group: Group sending indicator monitoring data list information. Data attributes: Large Mode MRSP message receiving success rate (group sending), group sending indicator monitoring, UP2.4 terminal Pager Mode message receiving delay (group sending), Large Mode message receiving delay (group sending), Large Mode MRSP message receiving delay ( Group sending), proportion, UP2.4 terminal Pager Mode message receiving success rate (group sending), Pager Mode message receiving success rate (group sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: Export of poor-quality NE analysis data. Functional process: export 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: VoNR (voice) uplink RTP packet loss rate, initial registration success rate, poor quality NE analysis, VoNR (voice) downlink average MOS, prefecture and city, VoNR call fallback 4G network completion rate, poor quality NE, EPS Fallback success rate, EPSFB call drop rate, percentage of poor quality indicators, and fallback 4G network success rate after VoNR 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: intelligent forecasting of 5G message service demand, analysis and forecast of 5G message user numbers. Trigger event: UP2.4 user analysis data export. Functional process: UP2.4 user analysis data export. Sub-process description: read UP2.4 user analysis data. Data movement type: R. Data group: UP2.4 user analysis data. Data attribute: number of UP2.4 terminal 5G message users in n+3 months, number of UP2.4 terminal 5G message users in this month, load of UP2.4 terminal 5G message users in this month, n+1 month UP2.4 terminal 5G message users Number of loads, growth rate of UP2.4 terminal 5G message users in n+2 months, growth rate of UP2.4 terminal 5G message users in n+3 months, n+2 UP2.4 terminal 5G message users, UP2.4 users analyze.

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

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: modify the configuration data of P2P poor quality terminal rules. Data movement type: W. Data group: P2P poor quality terminal rule configuration data to be modified. Data attributes: P2P poor quality terminal rule configuration, number, p2p sending average delay indicator threshold, p2p sending success rate indicator threshold, operator, unit, proportion of poor quality cities, p2p receiving average delay indicator threshold, p2p receiving success Rate indicator threshold, 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: P2P message detailed list data query. Functional process: P2P message detailed list data list query. Sub-process description: Input P2P message detailed list 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: registration class indicator analysis data query. Functional process: query the registration index analysis data list. Sub-process description: Output the list query results of the registration index analysis data. Data movement type: X. Data group: the query result of the registration index analysis data list. Data attributes: number of re-registration requests, number of successful re-registration of UP2.4 terminals, number of successful re-registrations, number of initial registration requests of UP2.4 terminals, total delay of initial registration, analysis of registration indicators, number of initial registration requests, UP2.4 The total delay of terminal re-registration.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: Query the call quality index data of poor quality NEs. Functional process: Query the call quality index data list of poor-quality network elements. Sub-process description: Input a request for querying the call quality index data list of network elements with poor quality. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message terminal number demand forecast rule configuration data modification. Functional process: 5G message terminal number demand forecast rule configuration data modification. Sub-process description: Return the modification result. Data movement type: X. Data group: 5G message terminal number demand prediction rule configuration data modification results. Data attributes: modification time, change record.

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 chatbot poor quality terminal rule is added. Functional process: Added chatbot terminal rule configuration data with poor quality. Sub-process description: Enter a new request for chatbot poor quality terminal rule configuration data. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data table generation. Functional process: 5G message user & terminal early warning data table generation (GP business library). Sub-process description: Generate 5G message user & terminal warning abnormal data log write. Data movement type: W. Data group: 5G message user & terminal early warning abnormal data log. Data attributes: error code, error description, 5G message user & terminal early warning abnormal source data information.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: The analysis data of the poor quality cell is modified. Functional process: modify the analysis data of poor quality plots. Sub-process description: modify the analysis data of the poor-quality plots. Data movement type: W. Data group: analysis data of poor-quality plots to be modified. Data attributes: VoNR (voice) downlink average MOS, poor quality cell analysis, cities, VoNR (voice) downlink RTP packet loss rate, initial registration average delay, number of poor quality indicators, EPS fallback 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 messaging service indicators, key indicators and trends of business development. Trigger event: UP2.4 terminal 5G message index data query. Functional process: Query the list of UP2.4 terminal 5G message index data. Sub-process description: output the query result of UP2.4 terminal 5G message index data list. Data movement type: X. Data group: UP2.4 terminal 5G message indicator data list query result. Data attributes: UP2.4 terminal 5G message indicators, UP2.4 terminal Large Mode message sending success rate (P2P), UP2.4 terminal 5G message drop-back SMS times, UP2.4 terminal 5G message drop-back total times, UP2.4 terminal Pager Mode message sending times (P2P), UP2.4 terminal Pager Mode message sending success times (P2P), UP2.4 terminal Pager Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message sending average delay ( 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 service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: EPSFB voice demand forecast configuration data query. Functional process: EPSFB voice demand forecast configuration data list query. Sub-process description: Input EPSFB 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: 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 VONR poor voice quality delay rule is added. Function process: The configuration data of delay rule for poor voice quality of VONR is added. Sub-process description: Input the new request for configuration data of VONR poor voice quality delay 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 analysis data export. Trigger event: The analysis data of the poor quality cell is modified. Functional process: modify the analysis data of poor quality plots. Sub-process description: Read the analysis data of poor quality plots. Data movement type: R. Data set: analysis data of poor quality plots. Data attributes: VoNR (voice) downlink average MOS, poor quality cell analysis, cities, VoNR (voice) downlink RTP packet loss rate, initial registration average delay, number of poor quality indicators, EPS fallback success rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, call auxiliary delay statistics. Trigger event: N11 interface delay data query. Functional process: Query the details of the delay data of the N11 interface. Sub-process description: Input N11 interface delay 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: 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: Generate and write abnormal data logs of business development poor quality indicators. Data movement type: W. Data group: abnormal data log of poor quality indicators for business development. Data attributes: error code, error description, abnormal source data information of business development poor quality 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, 5G message indicator system. Trigger event: upload of business development indicator analysis data. Functional process: business development indicators analysis data upload. Sub-process description: Upload the analysis data of business development indicators. Data movement type: X. Data group: analysis data of business development indicators. Data attributes: number of successful TCP establishments, analysis of business development indicators, number of successful TCP establishments (wireless side), total number of HTTP service requests, total TCP establishment delay (core network), total TCP establishment delay, terminal initiated storage server The total number of authentication times and the number of successful HTTP services.

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: Read the VONR indicator closed-loop analysis export template. Data movement type: R. Data group: VONR indicator closed-loop analysis export template. Data attribute: VONR indicator closed-loop analysis export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: The modification of the configuration data of the registered poor quality terminal rule. Functional process: modify the configuration data of the registration rules for terminals with poor quality. Sub-process description: Modify the configuration data of the terminal rules with poor registration quality. Data movement type: W. Data group: the configuration data of the terminal rules with poor registration quality to be modified. Data attributes: re-registration success rate indicator threshold, poor quality city proportion, registration poor quality terminal rule configuration, whether it is effective, number, registration success rate indicator threshold, rule name, re-registration average delay indicator threshold, registration average delay Indicator threshold.

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: Export of EPSFB network access analysis data. Functional process: EPSFB network access 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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 end user number prediction rule configuration data export. Functional process: UP2.4 end user number prediction rule configuration data export. Sub-process description: read the configuration data of UP2.4 terminal user number prediction rules. Data movement type: R. Data group: UP2.4 terminal user number prediction rule configuration data. Data attributes: growth rate of UP2.4 terminal 5G message users in n+3 months, index forecast historical data months, whether it is effective, n+5 month UP2.4 terminal 5G message user growth rate, n+6 month UP2.4 The growth rate of the number of terminal 5G message users, the growth rate of the number of UP2.4 terminal 5G message users in n+9 months, the growth rate of the number of UP2.4 terminal 5G message users in n+7 months, and the configuration of prediction rules for the number of UP2.4 terminal 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: Chatbot service quality indicator data download. Functional process: Chatbot business quality indicator data download. Sub-process description: Input the Chatbot service quality index data download request. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

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 deletion. Functional process: VOLTE voice demand forecast configuration data deletion. Sub-process description: Return the deletion result. Data movement type: X. Data group: VOLTE voice demand forecast configuration 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: 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: read the list information of poor-quality P2P service data. Data movement type: R. Data group: list information of poor quality P2P service data. Data attributes: core network factors of poor p2p business quality, poor quality P2P business, large (mode message sending success rate (p2p)), p2p business quality poor city factors, page (mode message sending average delay (p2p)), date , large (number of times message sent in mode (p2p)), page (number of times message sent successfully in mode (p2p)), conclusion of poor p2p service quality, prefecture, large (number of times message sent successfully in mode (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 export. Functional process: 5G voice VOLTE user number analysis data export. Sub-process description: Input the request for analyzing and exporting the number of 5G voice VOLTE users. Data movement type: E. Data group: 5G voice VOLTE user number analysis and export operation instructions. 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, segmentation analysis of VoNR calling delay. Trigger event: generation of on-delay index data table. Functional process: generation of connection delay index data table (GP business library). Sub-process description: generate connection delay index abnormal data processing. Data movement type: W. Data group: the connection delay index data after exception handling. Data attributes: wireless delay (VoNR), total wireless delay (VNR2VNR), wireless delay (VNR2VNR), connection delay (VoNR), total connection delay measurement times (VNR2VNR), connection delay index, Total connection delay (VoNR), total connection delay measurement times (VoNR), connection delay (VNR2VNR), wireless total 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, poor quality terminal rule configuration. Trigger event: modification of chatbot terminal rule configuration data of poor quality. Functional process: Modify the configuration data of chatbot terminal rules with poor quality. Sub-process description: Return the modification result. Data movement type: X. Data group: the modification result of chatbot terminal rule configuration data with poor quality. Data attributes: modification time, change record.

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 export. Functional process: 5G message user & terminal early warning data export. Sub-process description: Read 5G message user & terminal early warning data. Data movement type: R. Data group: 5G message user & terminal early warning data. Data attributes: Pager Mode message sending success rate (P2P), UP2.4 terminal 5G message terminal growth rate, current 5G message user number, UP2.4 terminal Pager Mode message sending times (P2P), UP2.4 terminal 5G message user number , 5G message user & terminal early warning, UP2.4 terminal 5G message user growth rate, 5G message terminal growth rate, initial registration success rate, 5G message user growth rate, UP2.4 terminal initial registration 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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data export. Functional process: 5G voice EPSFB user number analysis data export. Sub-process description: Read the 5G voice EPSFB user number analysis and export template. Data movement type: R. Data group: 5G voice EPSFB user number analysis export template. Data attribute: 5G voice EPSFB user number analysis 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: 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 conversion. Sub-process description: Call the 5G voice EPSFB user number analysis data conversion interface. Data movement type: X. Data group: 5G voice EPSFB user number analysis data conversion interface. Data attribute: 5G voice EPSFB user number 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data table is generated. Functional process: Generation of IMS domain delay index data table (GP service library). Sub-process description: Read the verification rules to verify the IMS domain delay index data. Data movement type: R. Data group: IMS domain latency index data validation rules. Data attributes: IMS forwarding and called paging delay (VNR2VNR), total called response delay (VNR2VNR), total called response delay (VoNR), total called response delay measurement times (VNR2VNR), IMS domain Delay indicators, IMS forwarding and called paging total delay (VoNR), IMS domain total delay measurement times (VNR2VNR), IMS domain delay (VoNR), IMS forwarding and called paging total delay (VoNR) , IMS forwarding and called paging delay (VoNR), IMS domain total delay (VNR2VNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, 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 collection. Sub-process description: Call the 5G voice VONR user number analysis data collection interface. Data movement type: X. Data group: 5G voice VONR user number analysis data collection interface. Data attribute: 5G voice VONR user number analysis 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: 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: Read the rules to verify the configuration data of the 5G message terminal number demand prediction rules. Data movement type: R. Data group: 5G message terminal number demand prediction rules configuration data verification rules. Data attributes: 5G message terminal number demand prediction 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 VONR call duration prediction analysis data export. Functional process: 5G voice VONR call duration prediction analysis data export. Sub-process description: Input 5G voice VONR call duration prediction analysis export request. Data movement type: E. Data group: 5G voice VONR call duration prediction analysis and export operation instructions. Data attributes: data time, city, equipment manufacturer.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: P2P message index data export of poor quality terminals. Functional process: Export the P2P message index data of poor quality terminals. Sub-process description: Input a request for exporting P2P message indicators of poor quality terminals. Data movement type: E. Data group: operation instructions for exporting P2P message indicators of poor quality terminals. 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, analysis of key factors of poor quality terminal indicators. Trigger event: Export of prefecture-level and poor-quality terminal indicator data. Functional process: Data export of prefecture-level and poor-quality terminal indicators. Sub-process description: Read prefecture-level and poor-quality terminal indicator data. Data movement type: R. Data set: prefecture-level and poor-quality terminal indicator data. Data attributes: tac, 5GM02 interface file upload success rate, UP2.4 terminal initial registration success rate, terminal brand, 5GM02 interface file download success rate, 5GM02 interface file upload average delay, http business success rate, 5GM02 interface file download average time Latency, city granularity poor quality terminal indicators, http average response 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: File transfer indicator monitoring rule configuration data export. Functional process: file transfer indicator monitoring rule configuration data export. Sub-process description: export file transfer indicator monitoring rule configuration data. Data movement type: X. Data group: file transfer indicator monitoring rule configuration data. Data attributes: dynamic threshold position, KPI proportion, threshold type, indicator English name, comparison condition, file transfer indicator monitoring rule configuration, file transfer indicator, indicator Chinese name, indicator unit, 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 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 conversion interface. Sub-process description: Receive 5G voice EPSFB user number analysis data conversion request. Data movement type: E. Data group: 5G voice EPSFB user number analysis data conversion request. Data attribute: 5G voice EPSFB user number analysis data conversion interface call request.

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 export. Functional process: 5G message terminal number demand forecast rule configuration data export. Sub-process description: Read the 5G message terminal number demand forecast rule configuration export template. Data movement type: R. Data group: 5G message terminal number demand forecast rule configuration export template. Data attribute: 5G message terminal number demand forecasting rule configuration 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 monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: register indicator monitoring data query. Functional process: Query the details of registration indicator monitoring data. Sub-process description: read the registration indicator monitoring details data. Data movement type: R. Data group: registration indicator monitoring details data. Data attributes: success rate of mobility registration, total delay of normal UE registration, total delay of UE shutdown registration, total delay of normal network side registration, number of attempts, success rate of normal network side registration, total mobility registration time Delay, registration indicator monitoring.

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: Export of business indicator monitoring data. Functional process: Export of business indicator monitoring data. Sub-process description: input business indicator monitoring export request. Data movement type: E. Data group: business indicator monitoring 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, 5G message quality terminal analysis. Trigger event: Export of indicator data for poor-quality terminal file transfers. Functional process: Export of poor quality terminal file transfer index data. Sub-process description: 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data table is generated. Functional process: Generation of IMS domain delay index data table (GP service library). Sub-process description: Generate IMS domain delay index abnormal data log write. Data movement type: W. Data group: IMS domain latency indicator exception data log. Data attributes: error code, error description, IMS domain delay index exception source data information.

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: uploading of registration indicator analysis data. Functional process: upload registration index analysis data. Sub-process description: Upload the analysis data of registration indicators. Data movement type: X. Data group: registration index analysis data. Data attributes: the number of initial registration requests of UP2.4 terminals, the number of initial registration requests, the total initial registration delay, the total delay of UP2.4 terminal re-registration, the number of re-registration requests, the number of successful initial registrations of UP2.4 terminals, registration indicators Analysis, UP2.4 terminal re-registration success times, UP2.4 terminal re-registration request times, initial registration success times, re-registration 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 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: 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: 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: 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: Read EPSFB fallback class quality closed-loop detailed data. Data movement type: R. Data group: EPSFB fallback quality closed-loop detailed data. Data attributes: index normal value (19 points), deterioration index description, index normal value (8 points), index deterioration value (16 points), index deterioration value (17 points), index normal value (16 points), index deterioration value (18 points), the normal value of the indicator (17 points), and the closed loop of EPSFB quality.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice EPSFB call duration prediction analysis data query. Functional process: 5G voice EPSFB call duration prediction analysis data list query. Sub-process description: Read the 5G voice EPSFB call duration prediction analysis data list information. Data movement type: R. Data group: 5G voice EPSFB call duration prediction analysis data list information. Data attributes: EPSFB voice hour peak call duration in n-1 months, prefectures and cities, EPSFB voice hour peak call duration in n+2 months, 5G voice EPSFB call duration prediction analysis, n-2 EPSFB voice hour peak call duration, Peak call duration of EPSFB voice hour in month n-5, peak call duration of EPSFB voice hour in month n+1, peak call duration of EPSFB voice hour in month n+3, 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: 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 poor quality indicator data of business development category. Data movement type: R. Data group: business development category poor quality indicator data. Data attributes: HTTP service abnormal termination times (server RST), HTTP response total delay, date, business development category poor quality indicators, TCP link establishment success to the first transaction request times, HTTP business abnormal termination times (transmission timeout), The total delay of the TCP first transaction response, and the average delay of the HTTP response.

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 connection index data of poor quality cells. Functional process: Query the data list of connection indicators of poor quality cells. Description of the sub-process: Input query request for data list of connectivity indicators of poor-quality cells. 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: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: display of poor-quality community analysis data. Functional process: display of poor-quality community analysis data. Sub-process description: Read the analysis data of poor quality plots. Data movement type: R. Data set: analysis data of poor quality plots. Data attributes: VoNR (voice) uplink average MOS, VoNR (voice) downlink average MOS, initial registration success rate, EPSFB (RTP uplink MOS), poor quality cell analysis, cell, VoNR (voice) drop rate, EPSFB (RTP downlink Packet loss rate), EPS fallback 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, 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 the Chatbot business indicator cause value data table. Data movement type: W. Data group: Chatbot business indicator cause value data table. 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: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message user number indicator data query. Functional process: Query the list of 5G message user number index data. Sub-process description: output the query result of the 5G message user number index data list. Data movement type: X. Data group: query result of the 5G message user number index data list. Data attributes: the success rate of messages from Chatbot to users, the total number of messages from users to Chatbot, the number of successful messages from users to Chatbot, the total time delay of messages from Chatbot to users, the total number of messages from Chatbot to users, and the number of messages from users to users. The average delay of uplink messages to Chatbot, the number of 5G message users, the success rate of messages uplinked from users to Chatbot, and the number of times messages successfully downlinked from Chatbot to users.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Save the statistical results of the poor quality indicators of business development to the HBASE library. Data movement type: W. Data group: statistical results of poor quality indicators for business development. Data attributes: HTTP service abnormal termination times (server RST), HTTP response total delay, date, business development category poor quality indicators, TCP link establishment success to the first transaction request times, HTTP business abnormal termination times (transmission timeout), The total delay of the TCP first transaction response, and the average delay of the HTTP response.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data table generation. Functional process: 5G message user & terminal early warning data statistics (HBASE library). Sub-process description: Save the statistical results of 5G message user & terminal early warning data to the HBASE library. Data movement type: W. Data group: statistical results of 5G message users & terminal early warning data. Data attributes: 5G message terminal growth rate, 5G message user growth rate, current 5G message user number, UP2.4 terminal 5G message user number, UP2.4 terminal Pager Mode message sending times (group sending), Pager Mode message sending success rate ( P2P), the number of UP2.4 terminal 5G message terminals, Pager Mode message sending success rate (group sending), UP2.4 terminal initial registration success rate, 5G message user & terminal early warning.

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: Return the modification result. Data movement type: X. Data group: EPSFB poor voice quality registration rule configuration data modification result. Data attributes: modification time, change record.

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: input P2P poor quality index data download request. 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: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Export of aggregated indicator data for message group sending. Functional process: export of aggregated indicator data for message group sending. Sub-process description: Export the aggregation indicator data of message group sending. Data movement type: X. Data group: aggregated indicator data for message group sending. Data attributes: Large Mode message sending times (group sending), Large Mode MRSP message receiving times (group sending), Large Mode message receiving success times (group sending), Pager Mode message sending times (group sending), Large Mode MRSP message sending times (group sending) ,Message mass sending aggregation index,Large Mode message reception times (mass sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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 query. Sub-process description: Input 5G voice VONR call duration prediction analysis data query request. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, 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: 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: generate VONR registration class quality closed-loop data table. Data movement type: W. Data set: VONR registration quality closed-loop data table. 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, 5G message quality indicators and trends. Trigger event: Chatbot service quality indicator data query. Functional process: Chatbot business quality index data details query. Sub-process description: Read the detailed data of Chatbot business quality indicators. Data movement type: R. Data group: detailed data of Chatbot business quality indicators. Data attributes: date, success rate of downlink messages from Chatbot to users, number of successful uplink messages from UP2.4 terminal users to Chatbot, number of successful downlink messages from UP2.4 terminal Chatbot to users, poor service quality indicators of Chatbot, downlink messages from Chatbot to users The total delay of the message, the total number of messages that the user uploads to the Chatbot, and the number of successful messages that the Chatbot downloads to the user.

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: output and display the configuration data of 5G message terminal number demand forecasting rules. Data movement type: X. 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: 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: input statistical request for business development indicator analysis data. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: The modification of the configuration data of the registered poor quality terminal rule. Functional process: modify the configuration data of the registration rules for terminals with poor quality. Sub-process description: read the configuration data of terminal rules with poor registration quality. Data movement type: R. Data group: register configuration data for poor-quality terminal rules. Data attributes: re-registration success rate indicator threshold, poor quality city proportion, registration poor quality terminal rule configuration, whether it is effective, number, registration success rate indicator threshold, rule name, re-registration average delay indicator threshold, registration average delay Indicator 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 forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice VONR user number prediction analysis data query. Functional process: 5G voice VONR user number prediction analysis data list query. Sub-process description: Input the query request for the 5G voice VONR user number prediction analysis data list. Data movement type: E. Data group: list query operation instructions. 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: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: The analysis data of poor-quality communities is added. Functional process: The analysis data of poor-quality communities is added. Sub-process description: Update the analysis data of the poor-quality plots. Data movement type: W. Data group: newly added analysis data of poor quality communities. Data attributes: initial registration average delay, EPS fallback success rate, EPSFB (RTP downlink packet loss rate), poor quality indicator ratio, VoNR (voice) downlink average MOS, VoNR (voice) uplink RTP packet loss rate, quality indicator Quantity, poor quality cell analysis, VoNR (voice) uplink average MOS.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice VONR user number prediction analysis data export. Functional process: 5G voice VONR user number prediction analysis data export. Sub-process description: Input the export request for prediction analysis of the number of 5G voice VONR users. Data movement type: E. Data group: 5G voice VONR user number prediction analysis export operation instructions. 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: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: modification of analysis data for poor-quality terminals. Functional process: modify the analysis data of poor-quality terminals. Sub-process description: Input a request for modifying analysis data of poor-quality terminals. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification 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: EPSFB call quality quality closed-loop data table generation. Functional process: EPSFB call quality closed-loop data statistics (HBASE library). Sub-process description: Save the statistical results of EPSFB call quality closed-loop data to the HBASE library. Data movement type: W. Data group: statistical results of EPSFB call quality closed-loop data. Data attributes: EPSFB call quality quality closed loop, index normal value (0 points), index deterioration value (0 points), index deterioration value (5 points), index normal value (2 points), index normal value (22 points), Index deterioration value (6 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, early warning of 5G voice indicators. Trigger event: VOLTE voice indicator warning data added. Function process: VOLTE voice indicator warning data is added. Sub-process description: return the new result of VOLTE voice indicator warning data. Data movement type: X. Data group: new results of VOLTE voice index early warning data. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, 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: Read rule verification file transfer indicator monitoring rule configuration data. Data movement type: R. Data group: Configure data verification rules for file transfer indicator monitoring rules. Data attributes: file transfer indicator monitoring 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 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: input VONR voice index warning export request. Data movement type: E. Data group: VONR voice index warning export operation command. 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: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data query. Functional process: VONR voice demand forecast configuration data list query. Sub-process description: Read VONR voice demand forecast configuration data list information. Data movement type: R. Data group: VONR voice demand forecast configuration data list information. Data attributes: poor quality threshold for VONR registration success rate, VONR voice demand forecast configuration, poor quality threshold for VONR originating voice network connection rate, poor quality threshold for VONR originating voice response rate, poor quality threshold for VONR voice connection rate, VONR heavy Registration success rate poor quality threshold, VONR user voice response rate poor quality threshold, VONR initial call voice network connection rate (V2V quality threshold), VONR final call voice response rate poor quality threshold.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data table is generated. Functional process: Generation of IMS domain delay index data table (GP service library). Sub-process description: Trigger the task of generating the IMS domain delay index data table at regular intervals. 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 quality perception analysis, poor quality terminal rule configuration. Trigger event: P2P poor quality terminal rule configuration data export. Functional process: P2P poor quality terminal rule configuration data export. Sub-process description: read the P2P poor quality terminal rule configuration data. Data movement type: R. Data group: P2P poor quality terminal rule configuration data. Data attributes: unit, p2p receiving success rate index threshold, operator, P2P poor quality terminal rule configuration, whether it is valid, serial number, p2p receiving average delay index threshold.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency index data collection. Functional process: core network latency index data analysis. Sub-process description: Save the analysis data of the core network delay index to the GP database. Data movement type: W. Data group: core network latency index data. Data attributes: 5G core network delay 1 (VoNR), 5G core network total delay 2 measurement times (VoNR), 5G core network total delay 2 (VNR2VNR), 5G core network total delay 1 (VNR2VNR), 5G core Network delay 2 (VNR2VNR), 5G core network total delay 1 (VoNR), 5G core network total delay 2 measurement times (VNR2VNR), 5G core network delay 1 (VNR2VNR), core network delay index, 5G core Network Delay 2 (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 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: Read the export template of the file transfer index city trend analysis. Data movement type: R. Data group: export template for file transfer indicator prefecture and city trend analysis. Data attribute: export template for file transfer indicator prefecture and city trend analysis.

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 P2P service data tables. Functional process: Generation of poor-quality P2P business data tables (GP business library). Sub-process description: generate abnormal data processing of poor-quality P2P business. Data movement type: W. Data group: P2P service data of poor quality after abnormal processing. Data attributes: cities, core network factors of poor p2p service quality, large (number of mode message sending (p2p)), large (mode message sending success times (p2p)), page (mode message sending average delay (p2p)), page (mode message sending times (p2p)), poor quality P2P business, page (mode message sending success times (p2p)), page (mode message sending success rate (p2p)), date, p2p business quality conclusion.

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 query. Function process: VONR poor voice quality delay rule configuration data list query. Sub-process description: Output VONR voice quality delay rule configuration data list query result. Data movement type: X. Data group: query result of VONR poor voice quality delay rule configuration data list. Data attributes: VONR re-registration average delay, number of users in the community, VONR initial registration average delay, VONR registration average delay, VONR voice connection average delay, VONR third-party registration success delay, prefectural and city index quality factors ( The proportion of cities with poor quality), the proportion of poor terminal quality indicators, and the configuration of VONR voice quality delay 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, 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: Input the IMS domain delay index data collection request. Data movement type: E. Data group: system time. Data attribute: system time.