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Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: read statistical rules to perform statistical calculations on IMS domain delay index data. Data movement type: R. Data group: Statistical rules for IMS domain latency indicator data. Data attributes: summary conditions, summary dimensions.

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

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data export. Functional process: 5G voice VONR call duration analysis data export. Sub-process description: Read the 5G voice VONR call duration analysis export template. Data movement type: R. Data group: 5G voice VONR call duration analysis export template. Data attribute: 5G voice VONR call duration 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: Deletion of VOLTE voice quality delay rule configuration data. Function process: Deletion of VOLTE voice quality delay rule configuration data. 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: VOLTE voice quality delay rule configuration, VOLTE initial registration average delay, core network indicators poor quality factors (proportion of poor quality core network), VOLTE re-registration average delay, individual user indicators poor quality factors (according to try times), the proportion of poor quality indicators of network elements, the proportion of poor quality indicators of terminals, and the proportion of poor quality indicators of cells.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Chatbot class aggregation indicator data query. Functional process: Chatbot class aggregation index data list query. Sub-process description: Enter the Chatbot class aggregation 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: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data table is generated. Functional process: 5G voice EPSFB user number analysis data statistics (HBASE library). Sub-process description: Input 5G voice EPSFB user number analysis data statistics request. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

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

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: Return the registration delay indicator data. Data movement type: X. Data group: the collection data of registration latency indicators. Data attributes: average initial registration delay, average registration delay, total number of initial registrations, registration delay index, total number of re-registrations, number of successful initial registrations, and number of successful third-party 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 forecasting of 5G messaging service requirements, analysis and forecasting of 5G messaging terminal numbers. Trigger event: 5G message terminal analysis data query. Functional process: 5G message terminal analysis data list query. Sub-process description: Output the query results of the 5G message terminal analysis data list. Data movement type: X. Data group: 5G message terminal analysis data list query results. Data attributes: growth rate of the number of 5G message terminals in n+2 months, cities, analysis of 5G message terminals, load of 5G message terminals this month, number of 5G message terminals this month, load of 5G message terminals in n+2 months, n+2 The number of 5G message terminals per month, the growth rate of the number of 5G message terminals in n+1 month, the load of 5G message terminals in month n+1, the growth rate of the number of 5G message terminals in month, n+3 months.

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 messaging business key indicator data query. Functional process: Query the details of key indicator data of 5G message business. Sub-process description: read the detailed data of key indicators of 5G message business. Data movement type: R. Data group: detailed data of key indicators of 5G message business. Data attributes: times of successful TCP establishment (core network), times of TCP establishment requests, success rate of TCP establishment, success rate of HTTP business, key indicators of 5G message business, times of successful TCP establishment, total delay of TCP establishment, number of successful HTTP business, TCP establishment average delay, TCP establishment total delay (wireless side).

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: display of configuration data for poor quality rules of business development. Functional process: business development class poor quality rule configuration data display. Sub-process description: Input the service development class poor quality rule configuration display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

Customer needs: 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 query. Functional process: Chatbot business indicator reason value data list query. Sub-process description: Enter the Chatbot business index cause value data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, call auxiliary delay statistics. Trigger event: N11 interface delay data download. Functional process: N11 interface delay data download. Sub-process description: Save the time-delayed download data of the N11 interface. Data movement type: W. Data group: N11 interface delay download 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: 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: Input 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 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: 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: Return the modification result. Data movement type: X. Data group: the result of modifying configuration data of business development category poor quality rules. 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 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: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE poor voice quality connection rule configuration data modification. Functional process: Modify the configuration data of connection rules for VOLTE poor voice quality. Sub-process description: Input the modification request for the connection rule configuration data of VOLTE poor voice quality. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification time.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data table is generated. Functional process: 5G voice EPSFB call duration analysis data table generation (GP service library). Sub-process description: Read the verification rules to verify the 5G voice EPSFB call duration analysis data. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data verification rules. Data attributes: 5G voice EPSFB call duration analysis, EPSFB call drop rate growth rate, EPSFB total call connection delay measurement times (redirection mode), EPSFB total connection delay measurement times (5T5), EPSFB called voice call times , EPSFB call duration growth rate, EPSFB total connection delay (5T5), EPSFB caller voice call times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: P2P & group message warning data query. Functional process: P2P & group message early warning data list query. Sub-process description: Output P2P & group message warning data list query results. Data movement type: X. Data group: query result of P2P & group message warning data list. Data attributes: P2P message UP2.4 terminal number, P2P message terminal number growth rate, P2P message terminal number load warning threshold, current UP2.4 terminal P2P message number, P2P & group message warning, P2P message number growth rate, P2P message number load Early warning threshold, the current number of P2P terminals.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message sending key indicator data query. Functional process: 5G message sending key indicator data list query. Sub-process description: Input 5G message to send key indicator 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: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data collection. Functional process: 5G voice EPSFB user number analysis data collection. Sub-process description: Save the 5G voice EPSFB user number analysis and collection data. Data movement type: W. Data group: 5G voice EPSFB user number analysis data. Data attributes: the number of caller initial registration failures (EPSFB), the number of initial registration requests (EPSFB), the number of caller initial registration delay measurements (EPSFB), the number of 5G voice EPSFB users, the number of initial registration delay measurements (EPSFB), Date, called initial registration delay measurement times (EPSFB).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Registration class poor quality rule configuration data display. Functional process: registration class poor quality rule configuration data display. Sub-process description: The output shows the configuration data of registration class poor quality rules. Data movement type: X. Data group: registration class poor quality rule configuration data. Data attributes: prefecture-city indicator quality factors, re-registration success rate, core network indicator quality factors, rule name, individual user indicator quality factors, number, registration category poor quality rule configuration, wireless indicator quality factors.

Customer needs: 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: Trigger the task of generating the chatbot business indicator cause value data table at regular intervals. Data movement type: E. Data group: system time. Data attribute: system 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: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

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

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice EPSFB user number prediction analysis data export. Functional process: 5G voice EPSFB user number prediction analysis data export. Sub-process description: Read the export template of 5G voice EPSFB user number prediction analysis. Data movement type: R. Data group: 5G voice EPSFB user number prediction analysis export template. Data attribute: 5G voice EPSFB user number prediction 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: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: business indicator monitoring data query. Functional process: business indicator monitoring data list query. Sub-process description: Output the query results of the business indicator monitoring data list. Data movement type: X. Data group: query result of business indicator monitoring data list. Data attributes: total delay from TCP chain establishment to the first transaction request, HTTP business success rate, index value, date, TCP establishment success rate, business indicator monitoring, city, TCP first transaction response times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Export of configuration data for business development class poor quality rules. Functional process: business development class poor quality rule configuration data export. Sub-process description: Input the export request for business development class poor quality rule configuration. Data movement type: E. Data group: business development class poor quality rule configuration 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: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: P2P failure reason value data query. Functional process: P2P failure reason value data details query. Sub-process description: read the detailed data of P2P failure reason value. Data movement type: R. Data group: P2P failure cause value detail data. Data attributes: indicator value, P2P failure reason value, first teardown message, last SIP status code, indicator name, Reason (Protocol), process failure reason, MSRP (REPORT (Req (Status (Code)))), 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 monitoring of 5G message indicators, analysis of indicator cause values. Triggering event: The data table of the cause value of mass sending failure is generated. Functional process: generation of data table of cause value of mass sending failure (GP business library). Description of the sub-process: Write the abnormal data log of the cause value of the group sending failure. Data movement type: W. Data group: the abnormal data log of the cause value of mass sending failure. Data attributes: error code, error description, abnormal source data information of group sending failure cause value.

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. Sub-process description: Modify the configuration data of the group sending poor quality terminal rules. Data movement type: W. Data group: the configuration data of the group sending poor quality terminal rules to be modified. Data attributes: group sending total delay indicator threshold, serial number, rule name, group sending poor quality terminal rule configuration, operator, group sending average delay indicator threshold, proportion of cities with poor quality.

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 & group message early warning data table generation (GP business library). Sub-process description: Generate P2P & group message warning data table. Data movement type: W. Data group: P2P & group message warning data table. Data attribute: P2P message terminal number load warning threshold, current UP2.4 terminal P2P message number, P2P message number growth rate, P2P message terminal number growth rate, current P2P message number, P2P message number load warning threshold, P2P message number growth rate , the current number of P2P terminals, the current number of UP2.4 terminal P2P messages, the number of P2P messages UP2.4 terminals, P2P & group message warning.

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 export template. Data movement type: R. Data group: 5G message user & terminal early warning export template. Data attribute: 5G message user & terminal early warning 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 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 data list of poor-quality terminal connection index factor analysis data list. Description of the sub-process: Input the query request for the data list of the factor analysis data of the poor-quality terminal connection index. 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 quality indicators and trends. Trigger event: Data query of poor quality indicators for business development. Functional process: Inquiry about the details of business development quality indicator data. Sub-process description: Output the detailed query results of the poor quality indicator data of the business development category. Data movement type: X. Data group: the detailed query result of the poor quality indicator data of the business development category. Data attributes: the number of first TCP transaction responses, poor quality indicators for business development, total TCP establishment delay, number of HTTP service establishment failures (client rejection), average HTTP response delay, total number of HTTP business requests, TCP link establishment The number of successful requests to the first transaction, the total delay of HTTP responses, the number of abnormal terminations of HTTP services (client RST), and the total delay of TCP establishment (wireless side).

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 terminal analysis data. Functional process: export of poor quality terminal analysis data. Sub-process description: read the poor-quality terminal analysis data. Data movement type: R. Data set: Poor quality terminal analysis data. Data attributes: poor quality terminal analysis, tac, user factors, terminal model, VoNR call drop-off 4G network completion rate, initial registration success rate, VoNR call drop-back 4G network success rate after connection.

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. Triggering event: VONR connected quality closed-loop data export. Functional process: VONR connected quality closed-loop data export. Sub-process description: input VONR connection class quality closed-loop export request. Data movement type: E. Data group: VONR connected quality closed-loop 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, 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: Receive the IMS domain delay index data collection request. Data movement type: E. Data group: IMS domain latency index 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: poor quality P2P service data query. Functional process: Query the details of poor-quality P2P business data. Sub-process description: Read the detailed data of poor-quality P2P services. Data movement type: R. Data group: detailed data of poor-quality P2P services. Data attributes: large (average message sending delay in mode (p2p)), poor quality P2P services, factors of poor p2p service cities, cities, page (average message sending delay in mode (p2p)), large (mode message sending success rate (p2p)), large (the number of successful mode message sending (p2p)).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: read the statistical rules and perform statistical calculations on the quality closed-loop data of EPSFB call quality. Data movement type: R. Data group: EPSFB call quality quality closed-loop 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: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: downloading of analysis data of poor-quality terminal delay index factors. Functional process: Download the analysis data of the time delay index factors of poor quality terminals. Sub-process description: Download the analysis data of the delay index factors of poor-quality terminals. Data movement type: W. Data set: analysis data of poor-quality terminal delay index factors. Data attributes: city factors, number of poor quality indicators, wireless network factors, core network factors, conclusion, analysis of poor quality terminal delay index factors, third-party registration success delay, user factors, voice uplink average delay (RTCP), The average delay of initial registration and the average delay of re-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: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: The configuration data of the file transfer class poor quality rule is added. Functional process: The configuration data of the poor quality rule of the file transfer class is added. Sub-process description: read the configuration data of the poor quality rule of the file transfer class. Data movement type: R. Data group: configuration data for file transfer class poor quality rules. Data attributes: serial number, individual user index quality factors, file upload success rate, file download success rate, prefecture-city index quality factors, core network index quality factors, file transfer class poor quality rule configuration, whether it takes effect, poor quality percentage Ratio, wireless index poor quality factor.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: data query of business indicators, city trend analysis. Functional process: business index city trend analysis data list query. Sub-process description: read the list information of the business index prefecture and city trend analysis data. Data movement type: R. Data group: business index city trend analysis data list information. Data attributes: HTTP total delay, threshold value, date, business index city trend analysis, city, HTTP average response delay, HTTP business success rate.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Triggering event: Query for registration index data of poor quality NEs. Functional process: Query the list of registered index data of poor-quality network elements. Sub-process description: output the query result of the poor quality network element registration index data list. Data movement type: X. Data group: query result of poor quality NE registration index data list. Data attributes: the number of initial registration requests by the calling party, the total delay of the initial registration by the called party, the number of returned non-registered calls by the called party, the number of initial registration requests by the called party, the number of successful initial registrations by the calling party, the total delay in the initial registration by the calling party, and the initial registration delay by the called party. The number of registration failures, the number of called initial registration delay measurements, the registration indicators of poor quality network elements, and the number of initial registration 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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data table is generated. Functional process: 5G voice EPSFB user number analysis data statistics (HBASE library). Sub-process description: read the statistical rules and perform statistical calculations on the 5G voice EPSFB user number analysis data. Data movement type: R. Data group: 5G voice EPSFB user number analysis 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 demand, early warning of 5G voice indicators. Trigger event: Export of EPSFB voice index warning data. Functional process: EPSFB voice indicator early warning data export. Sub-process description: read EPSFB voice index warning data. Data movement type: R. Data group: EPSFB voice indicator early warning data. Data attributes: EPSFB voice call completion rate, EPSFB voice call drop rate, EPSFB active user number, EPSFB voice call duration, EPSFB active user number growth rate, EPSFB voice index warning, EPSFB voice fallback success rate, EPSFB voice call duration growth rate , the number of EPSFB registered users, and the success rate of EPSFB voice switching.

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

Customer needs: 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: Save the statistical results of 5G voice VOLTE user number analysis data to the HBASE library. Data movement type: W. Data group: 5G voice VOLTE user number analysis data statistical results. 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: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data conversion interface. Sub-process description: Receive 5G voice VOLTE user number analysis data conversion request. Data movement type: E. Data group: 5G voice VOLTE user number analysis data conversion request. Data attribute: 5G voice VOLTE user number analysis data conversion interface call request.

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 cell analysis data. Functional process: export of poor quality cell analysis data. Sub-process description: Input the request for exporting the poor-quality cell analysis. Data movement type: E. Data group: analysis and export operation instructions of poor quality cells. 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: IMS domain latency indicator data collection. Functional process: IMS domain delay index data collection. Sub-process description: Read the account information of the IMS domain latency indicator data server. Data movement type: R. Data group: IMS domain latency indicator data server account information. Data attribute: IMS domain delay indicator data server IP, account number, password.

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: read file transfer indicator monitoring rule configuration export template. Data movement type: R. Data group: file transfer indicator monitoring rule configuration export template. Data attribute: file transfer 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: 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: update the EPSFB poor voice quality connection rule configuration data. Data movement type: W. Data group: newly added 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: 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 detailed monitoring data of group sending indicators. Sub-process description: output the detailed query results of group sending indicator monitoring data. Data movement type: X. Data group: query results of group sending indicator monitoring data details. Data attributes: UP2.4 terminal Pager Mode message receiving delay (group sending), city, group sending indicator monitoring, date, Large Mode message sending success rate (group sending), UP2.4 terminal Large Mode message sending success rate (group sending), UP2.4 terminal Pager Mode message receiving success rate (group sending), Large Mode MRSP message receiving delay (group sending), UP2.4 terminal Pager Mode message sending success rate (group sending), UP2.4 terminal Large Mode message sending total delay (group sending).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: P2P message index data query of poor quality terminals. Functional process: Query the details of P2P message index data of poor quality terminals. Sub-process description: output the detailed query results of P2P message index data of poor quality terminals. Data movement type: X. Data group: detailed query results of poor-quality terminal P2P message index data. Data attributes: tac, core network factor, terminal brand, wireless network factor, p2p message receiving success rate, conclusion, p2p message sending success rate, p2p message sending average delay, p2p message receiving average delay, poor quality terminal P2P message category index.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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: read the registration indicator monitoring export template. Data movement type: R. Data group: Register indicator monitoring export template. Data attribute: Register indicator monitoring export template.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: 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 processing. Data movement type: W. Data group: IMS domain delay index data after exception processing. 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: 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: Return the newly added result of VONR voice quality delay rule configuration data. Data movement type: X. Data group: newly added result of VONR voice quality delay rule configuration data. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 export template of the aggregation dimension reported by the community. Data movement type: R. Data group: the template for exporting aggregation dimensions reported by the community. Data attribute: the template for exporting the aggregation dimension reported by the community.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR registration class quality closed-loop data query. Functional process: VONR registered quality closed-loop data list query. Sub-process description: output the query results of the VONR registration quality closed-loop data list. Data movement type: X. Data group: query results of VONR registration quality closed-loop data list. Data attributes: index normal value (10 points), index deterioration value (9 points), VONR registration quality closed loop, index deterioration value (11 points), index deterioration value (13 points), index deterioration value (2 points), index Normal value (9 points), indicator normal value (23 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 terminal analysis. Triggering event: downloading of analysis data of call quality indicators for poor-quality terminals. Functional process: Download the analysis data of the poor quality terminal call quality index factors. Sub-process description: Save the downloaded data of call quality index factor analysis of poor-quality terminals. Data movement type: W. Data set: analysis and download data of call quality indicators of poor quality terminals. Data attributes: proportion of poor quality indicators, city factors, terminal brand, VoNR (voice) uplink RTP packet loss rate, factor analysis of poor quality terminal call quality indicators, terminal model, VoNR (voice) drop rate, user factors, VoNR (Voice) Uplink Average MOS, Conclusion.

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: update the business development indicator monitoring rule configuration data. Data movement type: W. Data group: newly added business development indicator monitoring rule configuration data. Data attributes: threshold type, indicator unit, indicator English name, KPI proportion, indicator Chinese name, dynamic threshold position, poor quality threshold, whether it is effective, business development indicator monitoring rule configuration, comparison conditions, and business development indicators.

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 terminal analysis data. Functional process: export of poor quality terminal analysis 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, city ranking and trend of VoNR calling delay. Trigger event: VONR time delay ranking and trend data export. Functional process: Ranking and trend data export of VONR delay. Sub-process description: read ranking and trend data of VONR delay. Data movement type: R. Dataset: Ranking and trending data for VONR latency. Data attributes: total called response delay (VoNR), ranking and trend of VONR delay, total wireless delay measurement times (VoNR), total wireless delay (VoNR), IMS domain total delay measurement times (VoNR), Called response total delay measurement times (VoNR), called response total delay (VoNR), IMS forwarding and called paging total delay measurement times (VoNR).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, city ranking and trend of VoNR calling delay. Trigger event: VONR time delay ranking and trend data display. Functional process: ranking and trend data display of VONR delay. Sub-process description: output ranking and trend data showing VONR delay. Data movement type: X. Dataset: Ranking and trending data for VONR latency. Data attributes: total called response delay (VoNR), IMS domain delay (VoNR), wireless total delay (VoNR), ranking and trend of VONR delay, 5G core network total delay 1 (VoNR), 5G core Network delay 2 (VoNR), 5G core network total delay 2 measurement times (VoNR), IMS forwarding and called paging total delay measurement times (VoNR).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: export EPSFB network access analysis data. Data movement type: X. Data group: EPSFB network access analysis data. Data attributes: EPSFB initial call network connection rate, proportion of indicator degradation period this month, indicator normal period number, indicator normal day number, indicator degradation period number, degradation indicator description, indicator degradation days, EPSFB network connection analysis, month, EPSFB Network connection rate, target compliance rate.

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

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

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor-quality mass-sending business data table. Functional process: Statistics of poor-quality mass-sending business data (HBASE library). Sub-process description: Save the statistical results of poor-quality mass-sending business data to the HBASE library. Data movement type: W. Data group: Statistical results of poor-quality mass-sending business data. Data attributes: prefecture, city, poor quality group sending business, large (mode message reception success rate (group sending)), large (mode message sending times (group sending)), group sending poor quality conclusion, large (mode message sending times (group sending)) , large (the number of times the mode message is received (group sending)), large (the number of times the mode message is successfully received (group sending)).

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

Customer needs: 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 interface. Sub-process description: return 5G voice VONR call duration analysis data conversion data. Data movement type: X. Data group: converted 5G voice VONR call duration analysis data. Data attributes: times of total connection delay measurement (VoNR), times of VoNR calls falling back to the 4G network (calling), prefectures and cities, times of VoNR calls falling back to the 4G network after being connected (calling), VoNR calls falling back after being connected 4G network times, times of VoNR calls falling back to 4G network not connected, times of VoNR calls falling back to 4G network not connected (called), analysis of 5G voice VONR call duration, growth rate of VONR call duration, number of normal release times of VoNR calls after connected, After the VoNR call is connected, it falls back to the normal 4G release times (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 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: Read the analysis data of 5G voice VOLTE users. Data movement type: R. Data group: 5G voice VOLTE user number analysis data. 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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality P2P service data. Functional process: Export of poor-quality P2P business data. Sub-process description: input a poor-quality P2P service export request. Data movement type: E. Data group: Export operation instructions of poor-quality P2P services. Data attributes: data time, city, equipment manufacturer.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: the collection of registered index analysis data. Functional process: registration index analysis data collection interface. Sub-process description: read the analysis data of registered indicators. Data movement type: R. Data group: registration index analysis data. Data attributes: the number of successful initial registrations, the total initial registration delay, the number of UP2.4 terminal re-registration requests, the total UP2.4 terminal re-registration delay, the total re-registration delay, registration index analysis, UP2.4 terminal re-registration number of successes.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Read the core network latency index data list information. Data movement type: R. Data group: core network latency index data list information. 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: 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. Sub-process description: Read the data list information of connection indicators of poor quality cells. Data movement type: R. Data group: data list information of connection indicators of poor quality cells. Data attributes: 4G network completion rate of VoNR call drop (called), proportion of poor quality indicators, poor quality community connection indicators, number of poor quality indicators, VoNR call drop 4G network connection rate, prefecture, city, community, VoNR After the call is connected, the 4G network success rate is dropped (called), the VoNR call is dropped, the 4G network completion rate is dropped (calling), and the EPS drop success rate.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VOLTE voice indicators early warning data query. Functional process: Query the details of VOLTE voice indicators early warning data. Sub-process description: Output the detailed query results of VOLTE voice index warning data. Data movement type: X. Data group: VOLTE voice indicators early warning data details query results. Data attributes: VOLTE initial registration success rate, VOLTE voice connection rate, VOLTE initial call voice connection average delay, VOLTE initial call voice network connection rate, VOLTE final call voice connection rate, VOLTE registration success rate, VOLTE network voice Connect rate, VOLTE initial registration average delay, VOLTE user voice response rate, VOLTE voice indicator 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: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data collection. Functional process: 5G voice EPSFB call duration analysis data analysis. Sub-process description: read 5G voice EPSFB call duration analysis data. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data. Data attributes: EPSFB total connection delay (5T5), EPSFB voice call times, EPSFB call connection total delay (switching method), EPSFB call connection total delay (redirection method), EPSFB call drop rate growth rate, 5G voice EPSFB call duration analysis, date, city, EPSFB caller voice call times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of key factors of P2P poor quality business. Functional process: Data export of key factors of P2P poor quality business. Sub-process description: read the export template of key factors of P2P poor quality business. Data movement type: R. Data group: export template for key factors of poor P2P business. Data attribute: Export template for key factors of P2P poor quality business.

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: Return the deletion result. Data movement type: X. Data group: VONR poor voice quality registration rule configuration data deletion result. Data attributes: delete time, delete quantity.

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 interface. Sub-process description: Receive 5G voice VONR user number analysis data collection request. Data movement type: E. Data group: 5G voice VONR user number analysis data collection request. Data attributes: collection address, time, collection quantity, source file name.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: Analysis data query of low-quality terminal delay index factors. Functional process: Query the data list of the analysis data list of the delay index factor of the poor quality terminal. Sub-process description: output the list query results of the analysis data list of the delay index factors of poor quality terminals. Data movement type: X. Data group: query results of data list analysis data list of delay index factors of poor quality terminals. Data attributes: average initial registration delay, proportion of poor quality indicators, wireless network factors, average voice connection delay, average voice delay (RTCP), number of poor quality indicators, terminal model, average registration delay, poor quality terminals Delay index factor analysis, user 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, 5G message indicator system. Trigger event: the collection of registered index analysis data. Functional process: registration index analysis data collection. Sub-process description: Read the verification rules to verify the registration index analysis data server account information. Data movement type: R. Data group: registration index analysis data server IP verification rules. Data attributes: verification rules for registration index analysis data server IP, account number, and password.

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 data. Data movement type: R. Data group: P2P indicator monitoring rule configuration data. Data attributes: indicator Chinese name, p2p business indicator, dynamic threshold position, poor quality threshold, P2P indicator monitoring rule configuration, threshold type, indicator English name, KPI proportion.

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: export 5G message terminal number demand forecast rule configuration data. 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+7 months, the number of months of historical data forecast by the indicator, whether it is effective, 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+6 months, n+3 months The growth rate of the number of 5G messaging terminals, the growth rate of the number of 5G messaging terminals in n+May, the configuration of demand forecasting rules for the number of 5G messaging terminals, the number of 5G messaging terminals this month, and the growth rate of the number of 5G messaging terminals in n+September.

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: update chatbot poor-quality terminal rule configuration data. Data movement type: W. Data group: modified chatbot poor quality terminal rule configuration data. Data attributes: effective or not, number, average delay index threshold for chatbot downlink to user establishment, chatbot downlink to user establishment success rate index threshold, user uplink to chatbot establishment success rate index threshold, chatbot poor quality terminal rule configuration, operator, unit , the name of the rule, the proportion of cities with poor quality, and the average delay index threshold for users to upload to the chatbot.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Export of configuration data for mass-poor terminal rules. Functional process: Export rule configuration data for group sending poor quality terminals. Sub-process description: Read the configuration export template of the batch poor quality terminal rule. Data movement type: R. Data group: The export template for the rule configuration export of group-sending poor-quality terminals. Data attribute: the export template for the configuration export template of the bad-quality terminal rule.

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: Input the request for exporting aggregation indicators of the message group sending category. Data movement type: E. Data group: the export operation command of the message group aggregation index. 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: IMS domain latency index data table is generated. Functional process: Generation of IMS domain delay index data table (GP service library). Sub-process description: save the IMS domain delay index data table to the GP table library. Data movement type: W. Data group: IMS domain latency index data table. 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 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: query the details of 5G voice VONR user number prediction and analysis data. Sub-process description: Input the detailed query request of 5G voice VONR user number prediction and analysis 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 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: Input the request for querying the details of P2P index prefecture and city trend analysis 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: P2P indicator monitoring rule configuration data export. Functional process: P2P indicator monitoring rule configuration data export. Sub-process description: Input the P2P indicator monitoring rule configuration export request. Data movement type: E. Data group: P2P indicator monitoring rule configuration 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: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: business indicator monitoring data query. Functional process: query the details of business indicator monitoring data. Sub-process description: Read the detailed data of business indicator monitoring. Data movement type: R. Data group: business indicator monitoring details data. Data attributes: total delay of TCP first transaction response, average delay of HTTP response, business indicator monitoring, number of attempts, total TCP establishment delay (core network), proportion, total TCP establishment delay (wireless side).

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 business indicators, city trend analysis data. Functional process: Export of business indicators, city trend analysis 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: 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 is added. Functional process: EPSFB voice demand forecasting configuration data is added. Sub-process description: read EPSFB voice demand forecast configuration data. Data movement type: R. Data group: EPSFB voice demand forecast configuration data. Data attribute: EPSFB voice connection rate poor quality threshold, EPSFB network voice connection rate poor quality threshold, EPSFB final call voice network connection rate poor quality threshold, EPSFB initial call voice network connection rate poor quality threshold, EPSFB network voice fallback Success rate poor quality threshold, EPSFB user voice response rate poor quality threshold, EPSFB voice demand forecast configuration, EPSFB initial call voice response rate poor quality threshold, EPSFB final call voice completion rate poor quality threshold, EPSFB initial call voice connection rate quality poor 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: 5G message user number demand prediction rule configuration data is added. Functional process: The configuration data of the 5G message user number demand prediction rule is added. Sub-process description: Input a new request for configuration data of the 5G message user number demand prediction rule. 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: core network latency index data query. Functional process: Query the details of core network latency index data. Sub-process description: Output the detailed query results of the core network latency index data. Data movement type: X. Data group: query result of core network latency index data details. Data attribute: 5G core network total delay 2 measurement times (VoNR), 5G core network total delay 2 (VoNR), 5G core network total delay 1 (VNR2VNR), 5G core network delay 2 (VNR2VNR), 5G core Total network delay 2 measurement times (VNR2VNR), core network delay index, 5G core network delay 1 (VoNR), 5G core network total delay 1 measurement times (VoNR).