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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 message service indicators, 5G message indicator system. Trigger event: business development indicators analysis data collection. Functional process: business development indicators analysis data collection. Sub-process description: save the business development indicators analysis and collection data. Data movement type: W. Data group: analysis data of business development indicators. Data attributes: the number of TCP establishment requests, the total delay of HTTP response, the number of successful HTTP services, the total delay of TCP establishment, the total delay of TCP establishment (wireless side), the total number of authentications initiated by the terminal to the storage server, and the analysis of business development indicators , the terminal initiates the number of successful authentications of the storage server, the number of successful TCP establishments, and the number of successful TCP establishments (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: 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: call the registration class index analysis data collection interface. Data movement type: X. Data group: registration index analysis data collection interface. Data attribute: API for registration index analysis data collection interface.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data query. Functional process: Query the details of 5G voice VONR user number analysis data. Sub-process description: output the detailed query results of 5G voice VONR user number analysis data. Data movement type: X. Data group: 5G voice VONR user number analysis data detailed query results. Data attributes: VoNR dedicated load establishment times, VONR active user number growth rate, VoNR dedicated load establishment times (calling), VoNR dedicated load establishment success times (calling), 5G voice VONR user number analysis, VoNR dedicated load establishment success times ,VoNR-specific set-up failure times, VoNR-specific set-up failure times (called), date.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Chatbot class aggregation indicator data query. Functional process: Chatbot-like aggregation indicator data details query. Sub-process description: Output the detailed query results of Chatbot-like aggregation indicator data. Data movement type: X. Data group: Chatbot class aggregation indicator data details query results. Data attributes: Chatbot aggregation indicators, the total number of messages uploaded by users to Chatbot, the total number of messages uploaded by UP2.4 terminal users to Chatbot, the total time delay of messages downloaded from Chatbot to users, the number of successful messages uploaded by users to Chatbot, and the number of messages uploaded by users to Chatbot. The total number of downlink messages to users, the number of successful uplink messages from UP2.4 terminal users to Chatbot, the total time delay of downlink messages from UP2.4 terminal Chatbot to users, and the total time delay of uplink messages from users to 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. Trigger event: P2P poor quality terminal rule configuration data is added. Function process: P2P poor quality terminal rule configuration data is added. Sub-process description: Read rule verification P2P poor quality terminal rule configuration data. Data movement type: R. Data group: P2P poor quality terminal rules configure data verification rules. Data attributes: P2P poor quality terminal rule configuration data non-null check, data format check.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: generation of on-delay index data table. Functional process: connect delay indicator data statistics (HBASE library). Sub-process description: read the statistical rules and perform statistical calculations on the connection delay index data. Data movement type: R. Data group: Statistical rules for connection delay index data. 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 forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice EPSFB user number prediction analysis data query. Functional process: 5G voice EPSFB user number prediction analysis data list query. Sub-process description: output 5G voice EPSFB user number prediction analysis data list query results. Data movement type: X. Data group: 5G voice EPSFB user number prediction analysis data list query results. Data attributes: forecast n+3 month peak hour EPSFB active users, 5G voice EPSFB user forecast analysis, n-3 month peak hour EPSFB active users, n-5 month peak hour EPSFB active users, cities, forecast n +Number of active EPSFB users in the peak hour of January, number of active EPSFB users in the peak hour of this month, date, n-number of active EPSFB users in the peak hour of April, number of active EPSFB users in the peak hour of this month.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of cell delay. Trigger event: Cell VoNR call VoNR delay data query. Functional process: Query the details of VoNR delay data of VoNR calls in the community. Sub-process description: Input the cell VoNR call VoNR delay data 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: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: EPSFB voice indicator early warning data query. Functional process: EPSFB voice indicator early warning data list query. Sub-process description: Input the EPSFB voice indicator early warning data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

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

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: EPSFB voice demand forecast configuration data deletion. Functional process: EPSFB voice demand forecast configuration data deletion. 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 network voice connection rate poor quality threshold, EPSFB user voice response rate poor quality threshold, EPSFB initial call voice network connection rate poor quality threshold, EPSFB voice demand forecast configuration, EPSFB voice connection rate poor quality threshold, EPSFB The poor quality threshold of the voice response rate of the final call, the poor quality threshold of the voice response rate of the EPSFB initial call, the poor quality threshold of the voice completion rate of the EPSFB final call, and the poor quality threshold of the voice connection rate of the EPSFB initial call.

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 interface. Sub-process description: return 5G voice EPSFB user number analysis data. Data movement type: X. Data group: 5G voice EPSFB user number analysis and collection data. Data attributes: initial registration delay measurement times (EPSFB), active user number growth rate (EPSFB), caller initial registration failure times (EPSFB), 5G voice EPSFB user number analysis, caller initial registration delay measurement times (EPSFB) , the number of called initial registration failures (EPSFB), date, the number of called initial registration delay measurements (EPSFB), the number of calling initial registration successes (EPSFB), the number of called initial registration requests (EPSFB), and the 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 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: Save the 5G message user & terminal early warning data table to the GP table library. Data movement type: W. Data group: 5G message user & terminal early warning data table. Data attributes: 5G message terminal growth rate, Pager Mode message sending success rate (group sending), 5G message terminal number, Pager Mode message sending success rate (P2P), UP2.4 terminal 5G message user number, UP2.4 terminal 5G message terminal Number, UP2.4 terminal 5G message user growth rate, 5G message user & terminal early warning, UP2.4 terminal 5G message terminal growth rate.

Customer needs: 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 terminal rule configuration data of poor business development quality is added. Functional process: The terminal rule configuration data of poor business development quality is added. Sub-process description: Return the new result of configuration data of terminal rules with poor business development quality. Data movement type: X. Data group: The newly added result of the terminal rule configuration data of poor business development quality. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 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: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: 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: Export the configuration data of business development class poor quality rules. Data movement type: X. Data group: configuration data of poor quality rules for business development. Data attributes: rule name, individual user index quality factors, business development category quality rule configuration, HTTP establishment success rate, wireless index quality factors, core network index quality factors, number, prefecture city index 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: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: Query data of terminal indicators with poor granularity in prefectures and cities. Functional process: Inquiry about the details of terminal index data with poor granularity and quality in prefectures and cities. Sub-process description: Input the request for querying the details of the terminal index data with poor quality at the granularity of prefecture-level cities. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data export. Functional process: 5G voice VONR call duration analysis data export. Sub-process description: export 5G voice VONR call duration analysis data. Data movement type: X. Data group: 5G voice VONR call duration analysis data. Data attributes: times of VoNR calls falling back to 4G network not connected (called), times of VoNR calls falling back to 4G network not connected (calling), times of VoNR calls falling back to 4G network not connected, 5G voice VONR call duration analysis, VoNR calls The number of normal releases after connection, the growth rate of VONR call duration, the number of normal releases after VoNR calls are connected (calling), and the number of normal releases of 4G after VoNR calls are connected.

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 exception data processing. Data movement type: W. Data set: VONR registered quality closed-loop data after exception handling. 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: 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: Read the export template for 5G voice VONR call duration prediction analysis. Data movement type: R. Data group: 5G voice VONR call duration prediction analysis export template. Data attribute: 5G voice VONR call duration prediction analysis 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: VONR intelligent analysis of calling delay, poor quality of cell delay. Trigger event: export of VoNR delay data for VoNR calls in the cell. Functional process: export of VoNR delay data for cell VoNR calls. Sub-process description: Read the cell VoNR call VoNR delay derivation template. Data movement type: R. Data group: Cell VoNR call VoNR delay export template. Data attribute: Cell VoNR call VoNR delay 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: registration latency indicator data query. Functional process: query the registration delay index data list. Sub-process description: output the query result of the registration delay index data list. Data movement type: X. Data group: the query result of the registration latency index data list. Data attributes: average initial registration delay, registration delay index, average registration delay, successful third-party registration delay, successful re-registration times, total third-party registration times, successful third-party registration times, average re-registration delay, initial Number of successful registrations.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data query. Functional process: EPSFB poor voice quality registration rule configuration data list query. Sub-process description: Input EPSFB poor voice quality registration rule configuration 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: N26 interface delay data download. Functional process: N26 interface delay data download. Sub-process description: read the delay data of N26 interface. Data movement type: R. Data group: N26 interface delay data. Data attribute: FWD (RELOC (CMP (NOTIF success times))), CONTEXT (REQ total delay), FWD (RELOC (REQ total delay)), N26 interface delay, CONTEXT (REQ success times), FWD (RELOC (CMP (NOTIF request times))), FWD (RELOC (REQ success times)).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service 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: read 5G voice VONR talk time analysis data conversion rules. Data movement type: R. Data group: 5G voice VONR call duration analysis data conversion rules. 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 Number of times of 4G network, times of VoNR calls falling back to 4G network not connected, times of VoNR calling falling back to 4G network not connected (called), analysis of 5G voice VONR call duration, growth rate of VONR call duration, times of normal release after VoNR call is 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 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: Timing trigger the generation task of 5G voice EPSFB call duration analysis data table. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: data query of poor quality load indicators. Functional process: Query the details of poor quality load index data. Sub-process description: Read the detailed data of the poor quality load index. Data movement type: R. Data group: detailed data of poor quality load indicators. Data attributes: poor quality load indicators, growth rate of UP2.4 terminal 5G message terminals, number of 5G message terminals, cities, number of 5G message users of UP2.4 terminals, growth rate of 5G message users of UP2.4 terminals, current number of 5G message users ,date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: return the upload result. Data movement type: X. Data group: business development index analysis data upload results. Data attributes: whether the upload is successful, upload address.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: Export of terminal rule configuration data with poor service development quality. Functional process: export of terminal rule configuration data with poor business development quality. Sub-process description: read the terminal rule configuration data of poor service development quality. Data movement type: R. Data group: configuration data of terminal rules with poor business development quality. Data attributes: effective or not, tcp establishment success rate index threshold, http establishment success rate index threshold, poor quality city proportion, http establishment average delay index threshold, tcp establishment average delay index threshold, operator, poor business development quality Terminal rule configuration.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: 5G message group sending detailed list data download. Functional process: 5G message group sending detailed list data download. Sub-process description: save the download data of 5G message group sending detailed list. Data movement type: W. Data group: 5G message group sending detailed list download data. Data attributes: total delay in sending Pager Mode messages (group sending), total delay in sending Large Mode messages (group sending), detailed list of 5G message group sending, large mode MRSP message sending success rate (group sending), UP2.4 terminal Large Mode message reception Success rate (group sending), user, Large Mode message receiving delay (group sending), Large Mode MRSP message sending total delay (group sending), Large Mode MRSP message receiving success rate (group sending), UP2.4 terminal Pager Mode message sending total Latency (group sending).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VOLTE voice service quality monitoring indicator data export. Functional process: export VOLTE voice service quality monitoring index data. Sub-process description: Export VOLTE voice service quality monitoring index data. Data movement type: X. Data group: VOLTE voice service quality monitoring indicator data. Data attributes: VoLTE voice average delay, VoLTE initial call voice connection average delay, VOLTE voice service quality monitoring indicators, VoLTE initial registration average delay, VoLTE user voice response rate, VoLTE initial call voice response rate, VoLTE initial call voice Connection rate, date, VoLTE voice connection rate, average VoLTE 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 VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data collection. Sub-process description: Read the verification rules to verify the account information of the 5G voice VOLTE user number analysis data server. Data movement type: R. Data group: 5G voice VOLTE user number analysis data server IP verification rules. Data attribute: 5G voice VOLTE user number 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: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data export. Functional process: VONR voice demand forecast configuration data export. Sub-process description: Export VONR voice demand forecast configuration data. Data movement type: X. Data group: VONR voice demand forecast configuration data. Data attributes: VONR final call voice completion rate poor quality threshold, VONR re-registration success rate poor quality threshold, VONR initial call voice network completion rate (V2V quality poor threshold), VONR final call voice response rate poor quality threshold, VONR initial call Voice network connection rate poor quality threshold, VONR initial call voice response rate poor quality threshold, VONR voice demand forecast configuration, VONR network voice connection rate poor quality threshold, VONR registration success rate poor quality threshold, VONR final call voice network reception Pass rate 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 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: Export file transfer indicators, city trend analysis data. Data movement type: X. Data group: file transfer indicators city trend analysis data. Data attributes: date, file transfer index city trend analysis, 5GM02 interface file upload success rate, 5GM02 interface file download total delay, 5GM02 interface file upload total delay, 5GM02 interface file upload total times, 5GM02 interface file download success times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: read the P2P poor quality terminal rule configuration data. Data movement type: R. Data group: P2P poor quality terminal rule configuration data. 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: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: data query for file transfer indicators, city trend analysis. Functional process: file transfer index city trend analysis data list query. Sub-process description: Read the list information of the file transfer index city trend analysis data list. Data movement type: R. Data group: file transfer indicators, city trend analysis data list information. Data attributes: file transfer index city trend analysis, date, 5GM02 interface file download total delay, 5GM02 interface file download success rate, 5GM02 interface file upload failure times, 5GM02 interface file download failure times, 5GM02 interface file download success times.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Triggering event: The display of aggregated dimension data reported by the community. Functional process: display of aggregated dimension data reported by the community. Sub-process description: Read the aggregated dimension data reported by the community. Data movement type: R. Data group: aggregate dimension data reported by the community. Data attributes: date, community reporting aggregation dimension, Pager Mode message receiving success rate (P2P), Large Mode message sending success rate (P2P), Chatbot downlink message success rate to users, time period, and community.

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: Query the data list of poor quality indicators for business development. Sub-process description: Output the query results of the data list of poor quality indicators of business development. Data movement type: X. Data group: the query result of the data list of poor quality indicators for business development. Data attributes: business development category poor quality indicators, total TCP establishment delay, total delay from successful TCP link establishment to the first transaction request, TCP establishment success rate, total TCP establishment delay (core network), average HTTP response delay , the total delay of the first TCP transaction 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: 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: Receive 5G voice VONR call duration analysis data conversion request. Data movement type: E. Data group: 5G voice VONR call duration analysis data conversion request. Data attribute: 5G voice VONR call duration 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: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: Query data of terminal indicators with poor granularity in prefectures and cities. Functional process: Query the list of prefecture-level and poor-quality terminal indicator data. Sub-process description: Input the query request for the data list of poor-quality terminal indicators at the prefecture-level granularity. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Export of configuration data for bad registration terminal rules. Functional process: export the rule configuration data for terminals with poor registration quality. Sub-process description: 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: effective or not, unit, re-registration success rate indicator threshold, poor-quality city proportion, operator, number, re-registration average delay indicator threshold, rule name, registration average delay indicator threshold, registration success rate indicator threshold , register poor terminal rule configuration.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality connection rule configuration data query. Functional process: EPSFB poor voice quality connection rule configuration data list query. Description of the sub-process: Input the EPSFB poor voice quality connection rule configuration data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Read 5G message sending key indicator data list information. Data movement type: R. Data group: 5G message sending key indicator data list information. Data attributes: key indicators of 5G message sending, Large Mode MRSP message receiving success rate (P2P), Large Mode message receiving success rate (P2P), Pager Mode message sending total delay (group sending), Large Mode MRSP message sending success rate (group sending ), the average message receiving delay in Pager Mode (P2P), the average receiving delay in Large Mode messages (group sending), the total delay in sending Large Mode messages (P2P), the average receiving delay in Pager Mode messages (group sending), and the receiving time in Pager Mode messages Success rate (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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency indicator data export. Functional process: IMS domain delay index data export. Sub-process description: Input the IMS domain delay index export request. Data movement type: E. Data group: IMS domain delay index export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: EPSFB voice demand forecast configuration data deletion. Functional process: EPSFB voice demand forecast configuration data deletion. Sub-process description: Return the deletion result. Data movement type: X. Data group: EPSFB voice demand forecast configuration data deletion result. Data attributes: delete time, delete quantity.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, analysis and forecast of 5G message user numbers. Trigger event: UP2.4 user analysis data query. Functional process: UP2.4 user analysis data list query. Sub-process description: Input UP2.4 user analysis data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message 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 a poor-quality P2P service data table. Data movement type: W. Data set: poor quality P2P business data table. 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: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor-quality mass-sending business data table. Functional process: Generation of poor-quality mass-sending business data tables (GP business library). Sub-process description: Read the verification rules to verify the poor-quality mass sending business data. Data movement type: R. Data group: verification rules for poor-quality mass-sending business data. Data attributes: poor-quality group sending business, large (mode message reception success rate (group sending)), large (mode message receiving success times (group sending)), large (mode message sending times (group sending)), large (mode message receiving times ( Group sending)), conclusion of poor quality of group sending, prefecture and city, factor of poor quality of group sending, large (number of successful mode message sending (group sending)), large (mode message sending success rate (group sending)), large (mode message sending average time extension (mass)).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: P2P poor quality rule configuration data modification. Functional process: modify the configuration data of P2P poor quality rules. Sub-process description: Return the modification result. Data movement type: X. Data group: P2P poor quality 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 poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: Chatbot poor quality business key factor data query. Functional process: query the data list of key factors of chatbot poor quality business. Sub-process description: Read the data list information of chatbot's poor quality business key factors. Data movement type: R. Data group: data list information of key factors of chatbot poor quality business. Data attributes: the proportion of poor quality factors, the total delay of messages downlinked by UP2.4 terminal Chatbot to users, the factors of poor quality of user indicators, the factors of poor quality of indicators of prefectures and cities, the factors of poor quality of core network indicators, the downlink of UP2.4 terminal Chatbot to The total number of messages from users, the number of successful uplink messages from UP2.4 terminal users to Chatbot, the factors of poor quality of wireless indicators, the key factors of poor quality chatbot services, the total delay of uplink messages from UP2.4 terminal users to Chatbot, and the UP2.4 terminal The number of messages that Chatbot has successfully downlinked 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 indicator system. Trigger event: business development indicator analysis data query. Functional process: detailed query of business development indicators analysis data. Sub-process description: Output the detailed query results of business development indicators analysis data. Data movement type: X. Data group: query results of business development indicator analysis data details. Data attributes: the number of successful authentications initiated by the terminal to the storage server, the number of TCP establishment requests, the number of successful TCP establishments, the total delay of TCP establishments (wireless side), the number of successful TCP establishments (core network), the total delay of HTTP responses, and the total delay of TCP establishments initiated by terminals. The total number of authentications of the storage server, the number of successful TCP establishments (on the wireless side), the total number of HTTP business requests, and the analysis of business development indicators.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data modification. Functional process: P2P indicator monitoring rule configuration data modification. Sub-process description: Modify the P2P indicator monitoring rule configuration data. Data movement type: W. Data group: P2P indicator monitoring rule configuration data to be modified. Data attributes: dynamic threshold position, indicator English name, p2p business indicator, KPI proportion, indicator Chinese name, poor quality threshold, P2P indicator monitoring rule configuration, comparison conditions.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality mass-sending business data. Functional process: Export of poor-quality mass-sending business data. Sub-process description: read the export template of the poor-quality mass-sending business. Data movement type: R. Data group: export template for poor-quality mass-sending business. Data attribute: export template of poor-quality mass-sending 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: 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: Read the rules to verify the VOLTE voice indicator warning data. Data movement type: R. Data group: Verification rules for VOLTE voice indicator warning data. Data attributes: VOLTE voice index warning data non-null check, data format check.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Display of configuration data for poor quality rules of file transfer. Functional process: configuration data display of poor quality rules for file transfers. Sub-process description: Input file transfer 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: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of key factors of poor business development quality. Functional process: Data export of key factors of poor business development quality. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data collection. Functional process: 5G voice VOLTE call duration analysis data collection. Sub-process description: Input 5G voice VOLTE call duration analysis data collection request. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Chatbot class aggregation indicator data query. Functional process: Chatbot class aggregation indicator data list query. Sub-process description: Output the query result of the Chatbot class aggregation index data list. Data movement type: X. Data group: Chatbot class aggregation index data list query results. Data attributes: the total number of messages from Chatbot downlinked to users, the aggregation index of Chatbot, the number of successful uplink messages from UP2.4 terminal users to Chatbot, the total delay of messages uplinked from users to Chatbot, the total number of messages uplinked from users to Chatbot, UP2 .4 The total time delay of the downlink message from the terminal Chatbot to the user, UP2.4 The total time delay of the uplink message from the terminal user to the Chatbot.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice 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: Timing triggers the generation task of 5G voice VONR user number analysis data table. Data movement type: E. Data group: system time. Data attribute: system time.

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

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality load indicator data table. Functional process: Statistics of poor quality load indicators (HBASE library). Sub-process description: read the statistical rules and perform statistical calculations on the poor quality load index data. Data movement type: R. Data group: Statistical rules for poor quality load index data. Data attributes: summary conditions, summary dimensions.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Triggering event: querying aggregated indicator data for message group sending. Functional process: Query the details of aggregated indicator data for group message sending. Sub-process description: Enter a request for querying the details of aggregated indicator data for message group sending. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The generation of data table of poor quality indicators of file transfer class. Functional process: generation of poor quality index data table for file transfer (GP business library). Sub-process description: Generate abnormal data processing of file transfer class poor quality indicators. Data movement type: W. Data group: the poor quality indicator data of the file transfer category after exception processing. Data attributes: times of successful upload of 5GM02 interface files, poor quality indicators of file transfers, total times of 5GM02 interface file downloads, times of 5GM02 interface file download failures, times of 5GM02 interface file upload failures, total times of 5GM02 interface file uploads, Delay, 5GM02 interface file upload success rate, 5GM02 interface file download success times, 5GM02 interface file download success rate, date.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data collection. Functional process: 5G voice VOLTE call duration analysis data analysis. Sub-process description: Read the analysis rules to analyze the 5G voice VOLTE call duration analysis data. Data movement type: R. Data group: 5G voice VOLTE call duration analysis data analysis rules. Data attributes: file conversion specification, abnormal character processing 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 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: export 5G voice VONR call duration prediction analysis data. Data movement type: X. Data group: 5G voice VONR call duration prediction analysis data. Data attributes: VoNR drop rate in n-1 month, VoNR drop rate in n+3 month, VoNR drop rate in n+2 month, VoNR voice connection rate in n+3 month, district and county, 5G voice VONR call duration prediction analysis , VoNR dropped call rate in month n+1, VoNR voice connection rate in this month, prefecture and city, VoNR voice connection rate in n-5 months, and VoNR voice connection rate in n-3 months.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Save the statistical results of 5G voice EPSFB user number analysis data to the HBASE library. Data movement type: W. Data group: statistical results of 5G voice EPSFB user number analysis data. Data attributes: the number of initial registration failures (EPSFB), the number of called initial registration requests (EPSFB), the number of initial registration delay measurements (EPSFB), date, the number of calling initial registration delay measurements (EPSFB), the number of 5G voice EPSFB users Analysis, number of successful initial registrations (EPSFB).

Customer needs: 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: Input the new request of EPSFB voice demand forecast configuration data. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data query. Functional process: VONR voice demand forecast configuration data list query. Sub-process description: Input VONR voice demand forecast configuration data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 query. Sub-process description: read the detailed data of P2P message details. Data movement type: R. Data group: P2P message detailed data. Data attributes: UP2.4 terminal Large Mode message receiving success rate (P2P), UP2.4 terminal Large Mode message sending total delay (P2P), Large Mode message receiving delay (P2P), Large Mode message sending total delay ( P2P), Large Mode MRSP message receiving delay (P2P), UP2.4 terminal Large Mode message sending success rate (P2P), P2P message list, UP2.4 terminal Large Mode message receiving 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 quality perception analysis, poor quality network element analysis. Trigger event: Export of poor-quality NE connectivity indicators. Functional process: Export the connection index data of poor-quality network elements. Sub-process description: read the connection index data of poor-quality network elements. Data movement type: R. Data group: poor-quality network element connection index data. Data attributes: times of VoNR calls falling back to 4G network not connected (called), times of VoNR calls falling back to 4G network, times of normal release after VoNR calls are connected (called), times of 4G redirection, poor quality network element connected indicators , The number of times VoNR calls fall back to 4G network connection (calling), the number of times VoNR calls fall back to 4G normal release after being connected, and the number of times VoNR calls fall back to 4G network after connection.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: Data query of key factors of poor business development. Functional process: query the data list of key factors of poor business development quality. Sub-process description: output the data list query results of key factors of poor business development quality. Data movement type: X. Data group: query result of data list of key factors of poor business development quality. Data attributes: the number of successful authentications initiated by the terminal on the storage server, the total number of HTTP service requests, the key factors of poor business development quality, the total delay in TCP establishment (wireless side), the total number of authentications initiated by the terminal on the storage server, and the quality of core network indicators The difference factor is the number of TCP establishment requests.

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 details of the 5G message terminal number indicator data. Sub-process description: Output the detailed query results of the 5G message terminal number indicator data. Data movement type: X. Data group: 5G message terminal number indicator data detailed query result. Data attributes: 5G message terminal number index, UP2.4 terminal initial registration request times, UP2.4 terminal Pager Mode message sending success times (P2P), UP2.4 terminal Large Mode message receiving success times (P2P), UP2.4 terminal Large Mode message sending success rate (P2P), UP2.4 terminal Pager Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message sending times (P2P), UP2.4 terminal initial registration success rate, UP2.4 Terminal Large Mode message reception delay (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 analysis of indicators. Trigger event: VONR drop call solution data export. Functional process: VONR dropped call solution data export. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, 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: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message user number demand prediction rule configuration data export. Functional process: 5G message user number demand prediction rule configuration data export. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: Export of business indicator monitoring data. Functional process: Export of business indicator monitoring data. Sub-process description: export business indicator monitoring data. Data movement type: X. Data group: business indicator monitoring data. Data attributes: business indicator monitoring, HTTP response average delay, TCP establishment total delay, date, TCP first transaction response total delay, HTTP business success rate, HTTP response total delay, city.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Chatbot class aggregation indicator data export. Functional process: Chatbot class aggregation indicator 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: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of terminal delay. Trigger event: terminal EPSFB delay data query. Functional process: Query the details of the terminal EPSFB delay data. Sub-process description: output terminal EPSFB delay data details query result. Data movement type: X. Data group: query result of terminal EPSFB delay data details. Data attributes: terminal model, terminal EPSFB delay, average delay of EPSFB initial call fallback, average delay of EPSFB final call fallback, times of EPSFB initial call connection, total number of EPSFB final call fallback, times of successful EPSFB final call fallback, date, The number of successful EPSFB initial call dropbacks, the average delay of EPSFB initial call connection, tac.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE voice quality is poor and the connection rule configuration data is deleted. Functional process: Delete the connection rule configuration data for poor VOLTE voice quality. Sub-process description: Update the configuration data of connection rules for VOLTE poor voice quality. Data movement type: W. Data group: Deleted VOLTE poor voice quality connection rule configuration data. Data attributes: the number of users in the community, the proportion of poor network element quality indicators, the 4G network connection rate of VOLTE call fallback, the quality factor of individual user indicators (according to the number of attempts), the configuration of VOLTE voice quality poor connection rules, and the success rate of EPS fallback , Factors of poor quality of core network indicators (proportion of core network with poor quality), proportion of poor quality indicators of communities.

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 display. Functional process: file transfer indicator monitoring rule configuration data display. Sub-process description: Read the configuration data of file transfer indicator monitoring rules. Data movement type: R. Data group: file transfer indicator monitoring rule configuration data. Data attributes: threshold type, comparison condition, poor quality threshold, indicator Chinese name, file transfer indicator, file transfer indicator monitoring rule configuration, dynamic threshold position.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data collection. Functional process: 5G voice VOLTE call duration analysis data collection. Sub-process description: Call the 5G voice VOLTE call duration analysis data collection interface. Data movement type: X. Data group: 5G voice VOLTE call duration analysis data collection interface. Data attribute: 5G voice VOLTE call duration 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: 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. Description of the sub-process: Input the modification request for configuration data of poor quality rules of business development category. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: business development indicators analysis data collection. Functional process: business development indicators analysis data collection. Sub-process description: Call the business development index analysis data collection interface. Data movement type: X. Data group: data collection interface for business development indicators analysis. Data attribute: business development index analysis data collection interface api.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback class quality closed-loop data table is generated. Functional process: EPSFB fallback quality closed-loop data statistics (HBASE library). Sub-process description: Save the statistical results of EPSFB fallback quality closed-loop data to the HBASE library. Data movement type: W. Data group: statistical results of EPSFB fallback quality closed-loop data. Data attributes: index normal value (16 points), index normal value (21 points), index normal value (22 points), index normal value (20 points), index deterioration value (11 points), index deterioration value (7 points) , Index deterioration value (23 points), index normal value (13 points), EPSFB fallback quality closed loop, index normal value (1 point).

Customer needs: 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 reason value data query. Functional process: Chatbot business indicator reason value data list query. Sub-process description: read the chatbot business indicator cause value data list information. Data movement type: R. Data group: Chatbot business indicator cause value data list information. Data attributes: index value, reason value of Chatbot business index, last SIP status code, reason value, MSRP (REPORT (Req (Status (Code)))), reason of first teardown, first teardown message, Chatbot class indicator, indicator 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, analysis of key factors of poor quality business indicators. Trigger event: Data query of key factors of poor business development. Functional process: query the data list of key factors of poor business development quality. Sub-process description: input query request for data list of key factors of poor business development 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: 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: read the configuration data of the group sending poor quality terminal rules. Data movement type: R. Data group: mass-send poor-quality terminal rule configuration data. 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 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: Input file transfer indicator monitoring rule configuration export request. Data movement type: E. Data group: file transfer indicator monitoring rule configuration export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: Export of call quality index data of poor-quality NEs. Functional process: Export call quality index data of poor quality network elements. Sub-process description: Read the call quality index data of poor quality network elements. Data movement type: R. Data group: Call quality indicator data of poor quality network elements. Data attributes: EPSFB (RTP downlink MOS), VoNR (voice) downlink RTP packet loss rate, EPSFB (RTP downlink Poor NE.

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: modify the configuration data of the chatbot poor-quality terminal rules. Data movement type: W. Data group: the configuration data of chatbot poor quality terminal rules to be modified. 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. 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: update the P2P poor quality terminal rule configuration data. Data movement type: W. Data group: the modified P2P poor quality terminal rule configuration data. 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: 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: Export the analysis data of the poor quality cell. Data movement type: X. Data set: analysis data of poor quality plots. Data attributes: cell, VoNR (voice) downlink average MOS, EPSFB call drop rate, VoNR (voice) uplink RTP packet loss rate, poor quality index ratio, EPS fallback success rate, EPSFB (RTP downlink packet loss rate), EPSFB ( RTP uplink MOS), initial registration average delay, poor quality cell analysis.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data query. Functional process: 5G voice EPSFB call duration analysis data list query. Sub-process description: output 5G voice EPSFB call duration analysis data list query results. Data movement type: X. Data group: 5G voice EPSFB call duration analysis data list query results. Data attributes: EPSFB call connection total delay measurement times (switching mode), 5G voice EPSFB call duration analysis, EPSFB called voice call times, EPSFB call drop rate growth rate, EPSFB total connection delay (5T5), EPSFB connection The number of total communication delay measurements (5T5), the growth rate of EPSFB call duration, and the total connection delay of EPSFB (5T4).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data export. Functional process: 5G voice VONR user number analysis data export. Sub-process description: export 5G voice VONR user number analysis data. Data movement type: X. Data group: 5G voice VONR user number analysis data. Data attributes: VoNR dedicated load establishment times (calling), VoNR dedicated load establishment failure times (calling), 5G voice VONR user number analysis, date, VoNR dedicated load establishment successful times (called), VoNR dedicated load establishment failure times , The number of successful establishment of VoNR dedicated load, the number of times of VoNR untriggered dedicated load establishment (calling), the growth rate of the number of VONR active users, the number of times of VoNR dedicated load establishment (called), the number of failed VoNR dedicated load establishment (called).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality P2P service data. Functional process: Export of poor-quality P2P business data. Sub-process description: read poor-quality P2P business data. Data movement type: R. Data set: poor quality P2P business data. Data attributes: large (mode message sending average delay (p2p)), page (mode message sending times (p2p)), city, p2p business quality conclusion, page (mode message sending times (p2p)), quality poor P2P business, date, large (number of successful message sending in mode (p2p)), factors of poor quality of p2p business, large (successful rate of message sending in mode (p2p)), large (number of message sending 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 VONR user number analysis data collection. Functional process: 5G voice VONR user number analysis data collection. Sub-process description: Input the 5G voice VONR user number analysis data collection request. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality cell analysis. Trigger event: Inquiry of call quality indicator data in poor quality cells. Functional process: Query the details of call quality index data in poor quality cells. Sub-process description: Read the detailed data of call quality indicators in poor quality cells. Data movement type: R. Data group: Detailed data of call quality indicators in poor quality cells. Data attributes: cell, number of poor quality indicators, EPSFB (RTP downlink MOS), VoNR (voice) drop rate, proportion of poor quality indicators, EPSFB (RTP uplink MOS), poor quality cell call quality indicators, EPSFB (RTP uplink packet loss rate), VoNR (voice) uplink average MOS.