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hqfang

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cosmic-data-1

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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 indicator early warning data export. Sub-process description: export VONR voice index warning data. Data movement type: X. 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: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: VONR dropped call solution data query. Functional process: Query the details of VONR dropped call solution data. Sub-process description: input the query request for VONR call drop solution data details. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback class quality closed-loop data table is generated. Functional process: EPSFB fallback quality closed-loop data table generation (GP business library). Sub-process description: Generate EPSFB fallback quality closed-loop abnormal data log write. Data movement type: W. Data group: EPSFB fallback quality closed-loop exception data log. Data attributes: error code, error description, EPSFB fallback quality closed-loop exception source data information.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data display. Functional process: P2P indicator monitoring rule configuration data display. Sub-process description: Enter P2P indicator monitoring rules to configure display requests. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

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

Customer needs: 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 table generation (GP service library). Sub-process description: Generate EPSFB call quality class quality closed-loop abnormal data processing. Data movement type: W. Data group: EPSFB call quality closed-loop data after exception processing. Data attributes: index normal value (1 point), index deterioration value (2 points), index deterioration value (11 points), index normal value (22 points), index deterioration value (14 points), EPSFB call quality quality closed loop, Index deterioration value (17 points), index deterioration value (10 points).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 list query. Sub-process description: Read the list information of the P2P index city trend analysis data list. Data movement type: R. Data group: P2P index city trend analysis data list information. Data attributes: Pager Mode message receiving times (P2P), Pager Mode message receiving success times (P2P), Large Mode message receiving success times (P2P), Large Mode message sending total delay (P2P), date, Pager Mode message sending success Times (P2P), Pager Mode message receiving delay (P2P), P2P index city trend analysis, Large Mode message receiving delay (P2P).

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

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, city ranking and trend of VoNR calling delay. Trigger event: EPSFB time-lapse ranking and trend data export. Functional process: EPSFB latency ranking and trend data export. Sub-process description: Export ranking and trend data of EPSFB delay. Data movement type: X. Dataset: Ranking and trending data for EPSFB latency. Data attributes: EPSFB initial call connection average delay, EPSFB initial call drop-back total times, districts and counties, EPSFB drop-back average delay, EPSFB final call drop-back total times, EPSFB final call drop-back average delay, EPSFB delay ranking and trend , Prefectural cities, EPSFB final call drop success times.

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

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, call auxiliary delay statistics. Trigger event: N26 interface delay data query. Functional process: Query the details of the delay data of the N26 interface. Sub-process description: Output N26 interface delay data details query results. Data movement type: X. Data group: N26 interface delay data details query results. Data attribute: FWD (RELOC (CMP (NOTIF total delay))), N26 interface delay, CONTEXT (REQ success times), FWD (RELOC (REQ request times)), FWD (RELOC (CMP (NOTIF request times)) ), CONTEXT (total REQ delay), CONTEXT (number of REQ attempts).

Customer needs: 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: Export the poor-quality network element connection index data. Data movement type: X. 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: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Triggering event: display of prefecture-city registration aggregation dimension data. Functional process: data display of prefectural and city registration aggregation dimensions. Sub-process description: output and display the aggregation dimension data of prefecture-city registration. Data movement type: X. Data group: Aggregate dimension data of prefecture-city registration. Data attributes: Pager Mode message receiving success rate (P2P), Large Mode message sending success rate (P2P), Large Mode message receiving success rate (P2P), region and city registration aggregation dimension, initial registration success rate, region, time period, cancellation Success rate, re-registration success rate, Pager Mode message reception success rate (group sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality connection rule configuration data is deleted. Functional process: EPSFB poor voice quality connection rule configuration data is deleted. Sub-process description: Delete the EPSFB poor voice quality connection rule configuration data. Data movement type: W. Data group: EPSFB poor voice quality connection rule configuration data to be deleted. Data attributes: the number of users in the community, the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the configuration of EPSFB voice quality poor connection rules, the quality factors of individual user indicators (according to the number of attempts), the proportion of terminal quality indicators , the number of indicators participating in the judgment of poor quality cells, the proportion of poor quality indicators in the community, the success rate of 4G network fallback after EPSFB calls are connected, the success rate of EPS fallbacks, the connection rate of EPSFB call fallbacks to 4G networks, and the proportion of network element quality indicators Compare.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, analysis and forecast of 5G message user numbers. Trigger event: UP2.4 user analysis data export. Functional process: UP2.4 user analysis data export. Sub-process description: 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: data query of poor quality indicators for file transfers. Functional process: Query the details of the poor quality index data of file transfer. Sub-process description: Input file transfer class poor quality index data details query request. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VONR voice service quality monitoring indicator data export. Functional process: VONR voice service quality monitoring index 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 requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data collection. Functional process: 5G voice VONR call duration analysis data analysis. Sub-process description: Save the 5G voice VONR call duration analysis data to the GP database. Data movement type: W. Data group: 5G voice VONR call duration analysis data. Data attributes: times of VoNR calls falling back to 4G network after they are connected, growth rate of VONR call duration, times of total connection delay measurement (VoNR), times of normal release after VoNR calls are connected (calling), date, 5G voice VONR call duration Analysis, the number of normal 4G releases after the VoNR call is connected (called), the number of times the 4G network is dropped after the VoNR call is connected (called), the number of normal releases after the VoNR call is connected (called), and the total connection delay ( VoNR), the number of normal release times after the VoNR call is connected.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message terminal number demand forecast rule configuration data export. Functional process: 5G message terminal number demand forecast rule configuration data export. Sub-process description: Read the configuration data of the 5G message terminal number demand prediction rule. Data movement type: R. Data group: 5G message terminal number demand forecasting rule configuration data. Data attributes: growth rate of the number of 5G message terminals in n+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: 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 5G voice VONR call duration prediction analysis data. Data movement type: R. 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 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 statistics (HBASE library). Sub-process description: read 5G voice EPSFB call duration analysis data. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data. Data attributes: the number of EPSFB called voice calls, the number of total EPSFB call connection delay measurements (redirection method), date, the total EPSFB call connection delay (switching method), the total EPSFB connection delay (5T5), EPSFB Number of voice calls, total EPSFB connection delay measurement times (5T5), 5G voice EPSFB call duration analysis, EPSFB call connection total delay (redirection method), EPSFB call drop rate growth rate, EPSFB caller voice call 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 VOLTE user number analysis data table is generated. Functional process: 5G voice VOLTE user number analysis data table generation (GP service library). Sub-process description: generate 5G voice VOLTE user number analysis abnormal data log writing. Data movement type: W. Data group: 5G voice VOLTE user number analysis abnormal data log. Data attributes: error code, error description, 5G voice VOLTE user number analysis exception source data information.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data query. Functional process: query the details of 5G voice EPSFB user number analysis data. Sub-process description: Input the detailed query request of 5G voice EPSFB user number 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The data table of poor quality indicators for business development is generated. Functional process: Generation of poor quality indicator data tables for business development (GP business library). Sub-process description: Timely trigger the task of generating the data table of poor quality indicators for business development. 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 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: Read the verification rules to verify the P2P & group message warning data. Data movement type: R. Data group: P2P & group message warning data verification rules. 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: 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: read the export template of the VONR dropped call solution. Data movement type: R. Data group: VONR dropped call solution export template. Data attribute: VONR dropped call solution 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: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VOLTE voice service quality monitoring indicator data query. Functional process: Query the details of VOLTE voice service quality monitoring indicator data. Sub-process description: output the query result of VOLTE voice service quality monitoring indicator data details. Data movement type: X. Data group: query result of VOLTE voice service quality monitoring indicator data details. Data attributes: VOLTE voice service quality monitoring indicators, VoLTE registration average delay, VoLTE final call voice network connection rate, date, VoLTE initial registration average delay, VoLTE final call voice connection average delay, VoLTE voice connection average time Delay, VoLTE voice average delay, prefecture, city, VoLTE voice connection rate, VoLTE initial registration success rate.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice 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: Save the 5G voice VOLTE user number analysis data table to the GP table library. Data movement type: W. Data group: 5G voice VOLTE user number analysis data table. Data attributes: city, date, VOLTE initial registration average delay, VOLTE re-registration average delay, VOLTE network voice connection rate, 5G voice VOLTE user number analysis, VOLTE final call voice network connection rate, VOLTE initial call voice connection rate Average communication delay, VOLTE origination voice response rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of chatbot's poor quality business key factors. Functional process: Data export of chatbot's poor quality business key factors. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: downloading of data analysis data for poor-quality terminal connection indicators. Functional process: downloading of factor analysis data for connection indicators of poor quality terminals. Sub-process description: save the downloaded data of factor analysis of poor-quality terminal connection indicators. Data movement type: W. Data set: analysis and download data of poor quality terminal access indicators factors. Data attributes: number of poor quality indicators, proportion of poor quality indicators, success rate of EPS fallback, conclusion, user factors, wireless network factors, factor analysis of poor quality terminal connection indicators, terminal brand, city factors, fallback after VoNR calls are connected 4G network 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: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: P2P poor quality rule configuration data is added. Functional process: P2P class poor quality rule configuration data is added. Sub-process description: update P2P class poor quality rule configuration data. Data movement type: W. Data group: newly added configuration data of P2P poor quality rules. Data attributes: individual user indicators poor quality factors, number, effective or not, core network indicators poor quality factors, P2P poor quality rule configuration, rule name, poor quality ratio, P2P message sending success rate, operator, wireless indicators 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: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message sending key indicator data export. Functional process: 5G message sending key indicator data export. Sub-process description: export key indicator data of 5G message transmission. Data movement type: X. Data group: 5G message transmission key indicator data. Data attribute: Large Mode MRSP message receiving average delay (P2P), Pager Mode message sending total delay (group sending), Pager Mode message receiving average delay (group sending), Large Mode message receiving average delay (P2P), Pager Mode Message sending success rate (group sending), 5G message sending key indicators, Large Mode message receiving success rate (P2P), Large Mode MRSP message sending success rate (group sending), Large Mode MRSP message receiving success rate (group sending), Large Mode MRSP message Receive success rate (P2P), Pager Mode message receive success rate (group sending).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality cell analysis. Trigger event: Inquiry of connection index data of poor quality cells. Functional process: Inquiry about the details of connection index data of poor quality cells. Sub-process description: output the detailed query results of connection index data of poor-quality cells. Data movement type: X. Data group: detailed query results of connection index data of poor-quality communities. Data attributes: 4G network success rate of VoNR call drop after connection (calling party), EPS fallback success rate, poor quality cell connection indicators, VoNR call drop 4G network connection rate (called), VoNR call drop after connection 4G network success rate, prefecture and city, proportion of poor quality indicators, 4G network connection rate of VoNR call drop, 4G network connection rate of VoNR call drop (calling), 4G network success rate of VoNR call drop after connection (called) , District.

Customer needs: 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 export template of the terminal rule configuration with poor registration quality. Data movement type: R. Data group: Registry poor quality terminal rule configuration export template. Data attribute: Registry poor quality terminal rule configuration export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Triggering event: terminal business class aggregation indicator data query. Functional process: Query the list of aggregation index data of terminal business class. Sub-process description: Output the query result of the terminal business class aggregation index data list. Data movement type: X. Data group: the query result of the aggregated index data list of the terminal business category. Data attributes: TCP high downlink RTT times (HTTP), TCP link establishment 12 handshake failure times (HTTP), TCP uplink high out-of-sequence times (HTTP), TCP uplink high retransmission times (HTTP), terminal business aggregation indicators, TCP Uplink RTT measurement times (HTTP), TCP link establishment 23 handshake success times (HTTP).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: query of terminal information and data with poor core network quality. Functional process: Query the list of terminal information data lists with poor core network quality. Sub-process description: Read the data list information of the terminal information data list with poor core network quality. Data movement type: R. Data group: the core network quality terminal information data list information. Data attributes: initial registration success rate, http average response delay, initial registration average delay, tac, NE name, 5GM02 interface file download average delay, core network quality terminal information, date, 5GM02 interface file upload success rate, 5GM02 interface file download 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 analysis data export. Trigger event: The analysis data of poor-quality communities is added. Functional process: The analysis data of poor-quality communities is added. Sub-process description: Read the rules to verify the analysis data of poor quality plots. Data movement type: R. Data group: verification rules for analysis data of poor quality plots. Data attributes: non-null check of analysis data of poor-quality plots, and 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: 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: Read the detailed monitoring data of group sending indicators. Data movement type: R. Data group: Group sending indicator monitoring detailed data. 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: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: On-time delay indicator data collection. Functional process: data analysis of connection delay index. Sub-process description: read the on-delay index data. Data movement type: R. Data group: on-delay index data. Data attributes: connection delay (VoNR), wireless delay (VoNR), total wireless delay (VNR2VNR), total wireless delay measurement times (VNR2VNR), wireless delay (VNR2VNR), connection delay index, wireless Total delay measurement times (VoNR), total wireless delay (VoNR), total connection delay (VoNR), total connection delay (VNR2VNR), total connection delay measurement times (VoNR).

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

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: export of poor-quality cell analysis data. Functional process: export of poor quality cell analysis data. Sub-process description: Read the analysis data of poor quality plots. Data movement type: R. Data set: analysis data of poor quality plots. Data attributes: 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: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message user number demand prediction rule configuration data modification. Functional process: Modify the configuration data of the 5G message user number demand prediction rule. Sub-process description: Input the request for modifying the configuration data of the 5G message user number demand prediction rule. 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: 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: read business indicator monitoring data. Data movement type: R. 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: 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 5G voice VOLTE call duration analysis data. Data movement type: R. Data group: 5G voice VOLTE call duration analysis data. Data attributes: cities, VOLTE re-registration success rate, VOLTE initial call voice connection rate, VOLTE registration average delay, 5G voice VOLTE call duration analysis, VOLTE final call voice network completion rate, VOLTE final call voice connection average time Delay, date.

Customer needs: 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 modification. Functional process: VONR poor voice quality registration rule configuration data modification. Sub-process description: modify the configuration data of VONR poor voice quality registration rules. Data movement type: W. Data group: configuration data of VONR poor voice quality registration rules to be modified. Data attributes: quality factors of prefecture-city indicators (proportion of poor-quality prefectures and cities), VoNR called initial registration success rate, number of indicators participating in the judgment of poor-quality communities, quality factors of core network indicators (proportion of poor-quality core networks), VONR poor voice quality registration rule configuration, network element poor quality index ratio, VoNR caller initial registration success rate, VoNR initial registration success rate.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Triggering event: Export of chatbot business data for poor-quality terminals. Functional process: export chatbot business data for poor-quality terminals. Sub-process description: Input the chatbot service export request of poor-quality terminals. Data movement type: E. Data group: export operation instructions of chatbot business of poor quality terminals. 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: core network latency index data collection. Functional process: core network delay index data collection. Sub-process description: Save the collection data of core network delay indicators. Data movement type: W. Data group: core network latency index data. Data attributes: 5G core network total delay 2 (VNR2VNR), 5G core network total delay 1 measurement times (VNR2VNR), 5G core network total delay 1 measurement times (VoNR), 5G core network delay 1 (VoNR), 5G Core Network Latency 2 (VNR2VNR), 5G Core Network Latency 1 (VoNR), Core Network Latency Index, 5G Core Network Latency 2 Measurement Times (VoNR), 5G Core Network Latency 2 (VoNR), 5G core network total delay 1 (VNR2VNR).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: The core network latency index data table is generated. Functional process: core network latency index data statistics (HBASE library). Sub-process description: read the statistical rules and perform statistical calculations on the core network delay index data. Data movement type: R. Data group: core network latency index data statistics 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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data collection. Functional process: 5G voice VONR user number analysis data conversion. Sub-process description: save 5G voice VONR user number analysis data conversion data. Data movement type: W. Data group: converted 5G voice VONR user number analysis data. Data attributes: prefectures and cities, number of VoNR dedicated load establishments (called), VoNR untriggered dedicated load establishment times (calling), VoNR untriggered dedicated load establishment times (called), 5G voice VONR user number analysis, VoNR dedicated load The number of failed establishments (calling), the number of successful establishments of VoNR specific loads (calling), the growth rate of the number of active users of VONR, the number of successful establishments of VoNR specific loads, the number of establishments of VoNR specific loads, and the date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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: Statistics of the cause value of mass sending failure (HBASE library). Sub-process description: read the statistical rules to perform statistical calculations on the data of the cause value of the mass sending failure. Data movement type: R. Data group: Statistical rules for group sending failure cause value 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, analysis of indicator cause values. Trigger event: P2P failure reason value data download. Functional process: P2P failure reason value data download. Sub-process description: download the P2P failure cause value data. Data movement type: W. Data group: P2P failure cause value data. Data attributes: MSRP (REPORT (Req (Status (Code)))), Reason (Protocol), indicator value, P2P failure reason value, first teardown message, last SIP status code, P2P index, process failure 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: 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: read the configuration data of business development class poor quality rules. Data movement type: R. Data group: configuration data of poor quality rules for business development. Data attributes: effective or not, rule name, poor quality ratio, wireless indicator poor quality factor, TCP establishment success rate, business development category poor quality rule configuration, prefecture and city indicator quality factor, HTTP establishment success rate, operator, individual user Index quality factor, core network indicator 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 prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data table generation. Functional process: 5G message user & terminal early warning data table generation (GP business library). Sub-process description: generate 5G message user & terminal early warning abnormal data processing. Data movement type: W. Data group: 5G message user & terminal early warning data after abnormal processing. 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: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: NE fallback aggregation dimension data export. Functional process: Network element fallback aggregation dimension data export. Sub-process description: Input the export request of network element fallback aggregation dimension. Data movement type: E. Data group: NE fallback aggregation dimension export operation command. Data attributes: data time, city, equipment manufacturer.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Read the Chatbot class aggregation index data list information. Data movement type: R. Data group: Chatbot class gathers index data list information. 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: 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 export. Functional process: terminal EPSFB delay data export. Sub-process description: Read terminal EPSFB delay data. Data movement type: R. Data group: terminal EPSFB delay data. Data attributes: EPSFB final call connection times, EPSFB final call fallback average delay, EPSFB final call fallback average delay, terminal EPSFB delay, tac, EPSFB initial call connection times, EPSFB initial call fallback average delay, date, EPSFB fallback 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality connection rule configuration data modification. Functional process: Modify the configuration data of EPSFB poor voice quality connection rules. Sub-process description: read the configuration data of connection rules for poor voice quality of EPSFB. Data movement type: R. Data group: EPSFB poor voice quality connection rule configuration data. Data attributes: EPSFB call fallback 4G network connection rate, number of users in the cell, EPSFB voice quality poor connection rule configuration, core network indicator quality factor (poor quality core network proportion), number of indicators participating in poor quality cell judgment, network The proportion of poor quality indicators in units, the proportion of poor quality indicators in residential areas, the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the proportion of poor quality indicators in terminals, and the success rate of 4G network drop after EPSFB calls are connected.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: VONR indicator closed-loop analysis data query. Functional process: VONR index closed-loop analysis data list query. Sub-process description: Enter the VONR index closed-loop analysis 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: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: EPSFB voice service quality monitoring indicator data export. Functional process: EPSFB voice service quality monitoring index data export. Sub-process description: Input the EPSFB voice service quality monitoring index export request. Data movement type: E. Data group: EPSFB voice service quality monitoring indicator 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: register indicator monitoring data query. Functional process: register indicator monitoring data list query. Sub-process description: Enter a query request for the registration indicator monitoring data list. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR voice quality poor registration rule configuration data is added. Function process: The configuration data of VONR poor voice quality registration rules is added. Sub-process description: read rule verification VONR poor voice quality registration rule configuration data. Data movement type: R. Data group: VONR poor voice quality registration rules configure data verification rules. Data attribute: VONR poor voice quality registration rule configuration data non-null check, data format check.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: The core network quality is poor and the terminal information data is exported. Functional process: Export information and data of terminals with poor core network quality. Sub-process description: Input a request for exporting terminal information with poor core network quality. Data movement type: E. Data group: operation instructions for exporting terminal information with poor core network quality. 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: IMS domain delay index data statistics (HBASE library). Sub-process description: read IMS domain delay index data. Data movement type: R. Data group: IMS domain latency index data. Data attributes: IMS forwarding and called paging total delay (VoNR), IMS domain delay index, IMS domain delay (VNR2VNR), IMS domain total delay measurement times (VNR2VNR), called response total delay measurement times (VNR2VNR), IMS forwarding and called paging total delay (VoNR), IMS domain total delay (VNR2VNR), IMS domain delay (VoNR).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The data table of poor quality indicators for business development is generated. Functional process: Generation of poor quality indicator data tables for business development (GP business library). Sub-process description: Generate abnormal data processing of poor quality indicators for business development. Data movement type: W. Data group: business development category poor quality index data after exception handling. Data attributes: total delay of the first TCP transaction response, number of HTTP service establishment failures (rejected by the client), average HTTP response delay, number of HTTP service establishment failures (server link establishment timeout), total TCP establishment delay (wireless side ), the number of successful HTTP services, poor quality indicators of service development, the total delay of TCP establishment, the success rate of HTTP services, the number of abnormal terminations of HTTP services (transmission timeout), and the total number of HTTP service requests.

Customer needs: 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 display. Functional process: 5G messaging user number demand forecasting rule configuration data display. Sub-process description: Input the 5G message user number demand prediction rule configuration display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

Customer needs: 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: input business development index analysis data collection request. 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: 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 log write. Data movement type: W. Data group: VONR registration class quality closed-loop exception data log. Data attributes: error code, error description, VONR registration class quality closed-loop exception source data information.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data modification. Functional process: Modify the configuration data of EPSFB poor voice quality registration rules. Sub-process description: read the EPSFB poor voice quality registration rule configuration data. Data movement type: R. Data group: EPSFB poor voice quality registration rule configuration data. Data attributes: the proportion of poor quality indicators of network elements, the quality factors of individual user indicators (according to the number of attempts), the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the initial registration success rate of EPSFB callers, and the poor quality of terminals Index ratio, EPSFB initial registration success rate, EPSFB poor voice quality registration 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: 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: Output UP2.4 user analysis data list query results. Data movement type: X. Data group: UP2.4 user analysis data list query results. Data attribute: Number of 5G message users of UP2.4 terminals in n+3 months, number of 5G message users of UP2.4 terminals in this month, number of 5G message users of UP2.4 terminals in n+2 months, 5G message users of UP2.4 terminals in n+1 month User load, UP2.4 terminal 5G message user load this month, n+3 month UP2.4 terminal 5G message user growth rate, UP2.4 user analysis, prefecture, city, n+2 month UP2.4 terminal 5G message User growth 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 cell analysis. Trigger event: downloading of call quality indicator data in poor quality cells. Functional process: Download call quality indicator data for poor quality cells. Sub-process description: Download the call quality index data of poor quality cells. Data movement type: W. Data group: Call quality index data of poor quality cells. Data attributes: EPSFB (RTP uplink packet loss rate), VoNR (voice) downlink average MOS, EPSFB (RTP uplink MOS), EPSFB call drop rate, city, VoNR (voice) call drop rate, call quality indicators of poor quality cells , the number of poor quality indicators.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB call quality closed-loop data export. Functional process: EPSFB call quality quality closed-loop data export. Sub-process description: read EPSFB call quality closed-loop data. Data movement type: R. Data group: EPSFB call quality closed-loop quality data. Data attributes: index normal value (21 points), EPSFB call quality closed-loop quality, index normal value (11 points), index normal value (1 point), index normal value (15 points), index deterioration value (7 points), Index degradation value (1 point).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service 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: Input 5G voice EPSFB call duration analysis data analysis 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The data table of poor quality indicators for business development is generated. Functional process: data statistics of poor quality indicators for business development (HBASE library). Description of the sub-process: Input the statistical request for the poor quality indicator data of the business development category. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: Core network latency index data export. Functional process: export core network latency index data. Sub-process description: Read the export template of the core network delay index. Data movement type: R. Data group: core network latency index export template. Data attribute: core network latency index export template.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service 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 statistics (HBASE library). Sub-process description: Save the statistical results of 5G voice EPSFB call duration analysis data to the HBASE library. Data movement type: W. Data group: statistical results of 5G voice EPSFB call duration analysis data. Data attributes: the number of EPSFB called voice calls, the number of total EPSFB call connection delay measurements (redirection method), date, the total EPSFB call connection delay (switching method), the total EPSFB connection delay (5T5), EPSFB Number of voice calls, total EPSFB connection delay measurement times (5T5), 5G voice EPSFB call duration analysis, EPSFB call connection total delay (redirection method), EPSFB call drop rate growth rate, 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 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: 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 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: Read the 5G voice EPSFB user number prediction analysis data list information. Data movement type: R. Data group: 5G voice EPSFB user number prediction analysis data list information. 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: 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: Export call quality index data of poor quality network elements. Data movement type: X. 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: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Triggering event: terminal business class aggregation indicator data query. Functional process: Query the list of aggregation index data of terminal business class. Sub-process description: Read the information of the terminal service class aggregation indicator data list. Data movement type: R. Data group: the terminal service class aggregated index data list information. Data attributes: TCP high downlink RTT times (HTTP), TCP link establishment 12 handshake failure times (HTTP), TCP uplink high out-of-sequence times (HTTP), TCP uplink high retransmission times (HTTP), terminal business aggregation indicators, TCP Uplink RTT measurement times (HTTP), TCP link establishment 23 handshake success times (HTTP).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data collection. Functional process: 5G voice VONR user number analysis data conversion interface. Sub-process description: return 5G voice VONR user number analysis data conversion data. Data movement type: X. Data group: converted 5G voice VONR user number analysis data. Data attributes: VoNR dedicated load establishment times (called), VoNR dedicated load establishment times, cities, VoNR dedicated load establishment success times (calling), 5G voice VONR user number analysis, VoNR untriggered dedicated load establishment times (calling ), the number of failed VoNR specific load establishment (calling), and the number of successful VoNR specific 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: P2P poor quality indicator data query. Functional process: Query the details of P2P poor quality index data. Sub-process description: Enter a request for querying the details of P2P poor quality indicator 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: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message sending key indicator data export. Functional process: 5G message sending key indicator data export. Sub-process description: Read the export template of key indicators for 5G message sending. Data movement type: R. Data group: export template for key indicators of 5G message sending. Data attribute: 5G message sending key indicator export template.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB call quality closed-loop data query. Functional process: query the EPSFB call quality closed-loop data list. Sub-process description: output the query result of EPSFB call quality closed-loop data list. Data movement type: X. Data group: EPSFB call quality quality closed-loop data list query results. Data attributes: index normal value (0 points), index deterioration value (13 points), index deterioration value (16 points), index normal value (8 points), EPSFB call quality quality closed loop, index deterioration value (5 points), Indicator normal value (16 points).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service 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: generate 5G voice EPSFB call duration analysis abnormal data log write. Data movement type: W. Data group: 5G voice EPSFB call duration analysis abnormal data log. Data attributes: error code, error description, 5G voice EPSFB call duration analysis exception source data information.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: output P2P message detailed list data detailed query results. Data movement type: X. Data group: P2P message detailed list data detailed query results. 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: 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: Input the export request of poor-quality mass-sending business. Data movement type: E. Data group: export operation instructions for poor-quality mass-sending business. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data query. Functional process: Query the details of 5G voice VOLTE user number analysis data. Sub-process description: Read the detailed data of 5G voice VOLTE user number analysis. Data movement type: R. Data group: 5G voice VOLTE user number analysis detailed data. Data attributes: VOLTE initial call voice connection rate, VOLTE voice connection average delay, VOLTE final call voice connection average delay, VOLTE voice connection rate, date, VOLTE re-registration success rate, 5G voice VOLTE user number analysis, VOLTE network voice connection rate, VOLTE registration average delay, VOLTE initial call voice response rate, VOLTE initial registration success rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, city ranking and trend of VoNR calling delay. Trigger event: EPSFB time delay ranking and trend data query. Functional process: EPSFB time delay ranking and trend data list query. Sub-process description: Input EPSFB time delay ranking and trend 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: data query of poor quality load indicators. Functional process: query the data list of poor quality load indicators. Sub-process description: Input query request for poor quality load index data list. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 index analysis data collection interface. Sub-process description: read the analysis data of business development indicators. Data movement type: R. Data group: analysis data of business development indicators. Data attributes: total number of HTTP business requests, number of successful TCP establishments, number of successful TCP establishments (core network), analysis of business development indicators, number of requests for TCP establishments, total delay of TCP establishments (core network), authentication of the storage server initiated by the terminal number of successes.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Export 5G message user & terminal early warning data. Data movement type: X. Data group: 5G message user & terminal early warning data. Data attributes: Pager Mode message sending success rate (P2P), UP2.4 terminal 5G message terminal growth rate, current 5G message user number, UP2.4 terminal Pager Mode message sending times (P2P), UP2.4 terminal 5G message user number , 5G message user & terminal early warning, UP2.4 terminal 5G message user growth rate, 5G message terminal growth rate, initial registration success rate, 5G message user growth rate, UP2.4 terminal initial registration success rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR registration class quality closed-loop data query. Functional process: Detailed query of VONR registration quality closed-loop data. Sub-process description: Enter the query request for the details of VONR registration quality closed-loop 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: 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: Input a query request for the details of poor-quality P2P service data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service 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: Input the query request for VOLTE voice indicator warning data details. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: downloading of data analysis data for poor-quality terminal connection indicators. Functional process: downloading of factor analysis data for connection indicators of poor quality terminals. Sub-process description: download the factor analysis data of connection indicators of poor-quality terminals. Data movement type: W. Data set: analysis data of poor-quality terminal connectivity indicators. Data attributes: number of poor quality indicators, proportion of poor quality indicators, success rate of EPS fallback, conclusion, user factors, wireless network factors, factor analysis of poor quality terminal connection indicators, terminal brand, city factors, fallback after VoNR calls are connected 4G network success rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR registration class quality closed-loop data query. Functional process: Detailed query of VONR registration quality closed-loop data. Sub-process description: Output the detailed query results of VONR registration quality closed-loop data. Data movement type: X. Data group: detailed query results of VONR registration quality closed-loop data. Data attributes: VONR registration quality closed loop, description of degradation indicators, normal value of indicators (9 points), degradation value of indicators (22 points), degradation value of indicators (19 points), degradation value of indicators (0 points), degradation value of indicators (18 points) points), index deterioration value (21 points), index deterioration value (7 points), index normal value (21 points), index normal value (14 points).

Customer needs: 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: Export of terminal overall VONR delay data. Functional process: export the overall VONR delay data of the terminal. Sub-process description: Input the request for deriving the overall VONR delay of the terminal. Data movement type: E. Data group: operation command for deriving the overall VONR delay of the terminal. Data attributes: data time, city, equipment manufacturer.

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