CN107909295B - Power failure information monitoring and analyzing system - Google Patents
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Abstract
The invention discloses a power failure information monitoring and analyzing system, which comprises: the data acquisition unit is used for acquiring basic information of a user, acquisition point data, first line data, first distribution room data and power failure information data from the SG186 marketing system; acquiring customer file data, terminal data, second station area data, second line data, calling data, terminal calling data, station area calling data and line calling data from the electricity information acquisition system; acquiring a fault repair work order from a 95598 work order management and control system; the power failure monitoring unit is used for monitoring the power failure condition of the user; the power failure analysis unit is used for analyzing the power failure condition of the user; the service management unit is used for analyzing the power failure information and the repair work order of the user; and the emergency scheduling unit is used for scheduling and recording the power failure condition of the user. The method has the advantages of realizing accurate positioning of the fault repair work order, effective management and control of the accuracy of power transmission and outage information and active and efficient fault repair.
Description
Technical Field
The invention relates to a power failure information monitoring and analyzing system.
Background
In 95598 customer service request acceptance service, the fault repair accounts for about 60% of the processing workload, complaints such as power supply quality or power failure and power transmission are derived, and through data analysis of fault repair processing feedback, the power failure ratio on the non-power grid side can reach as high as 40%, so that the field processing workload and the service pressure are directly increased, the effective utilization of human and property is reduced to a great extent, and the one-time solution level of customer requests and the whole service repair efficiency are influenced. The main reason for this phenomenon is lack of power failure on the power grid side and power failure instant data extraction and support on the client side, so that identification can be performed only according to an existing power failure information database manually reported in a client appeal acceptance link, and due to inaccurate information identification of workers during acceptance, a repeated dispatch worksheet for reporting power failure information is generated. Therefore, the power grid side power failure information data based on the accurate topological relation of the path, the transformer, the electric energy meter, the house name and the power utilization address is extracted in real time to become the key information support for the reduction of the fault repair work unit. In order to further improve customer service perception and first-aid repair efficiency and effectively control risk events, large data mining and analysis technology research of power failure information is carried out on the basis of massive power failure information, fault repair work orders, meter electric quantity and other data.
At present, an electric power marketing SG186 service application system comprises a 95598 incoming work order and issued power failure information, an electric power utilization information acquisition system comprises meter electric quantity data, the three can independently reflect the power failure state of a client, but the incidence relation among system data is not established, and the fault reason related to power failure cannot be mastered in real time. After the power failure occurs due to the national grid standard regulation, each city and county company should report the power failure information to the national grid customer service center within 15min, but the problems of low efficiency, difficult data acquisition and the like of the existing manual analysis restrict the timeliness of reporting the power failure information. The method has the advantages that the real-time monitoring and analysis of the information of the distribution network lines are realized, the online data are dynamically displayed, the distribution conditions of power failure lines, affected distribution areas and affected household numbers are excavated, the affected household numbers due to power failure are early warned, the power failure conditions are tracked in real time, manual scheduling is carried out in time, emergency service disposal work is started, and the method is the primary step for solving the active service due to power failure.
The power failure information support is not in place, which will cause the service supply side to fail to answer customers and develop active first-aid repair in time, and cause the problems of traffic peak surge, increased fault repair amount, untimely service management and control, and the like, and mainly shows in the following aspects:
1. the power failure information in the marketing system contains the geographical range of the electricity utilization client, but the accurate positioning cannot be realized, and the direct matching relationship between the power failure information and the user is lacked, so that under the condition that the power failure information is reported to a national network customer service center, the fault report worksheet which is distributed to the city and county companies is caused because the customer service center does not arrange a large amount of power failure information in time, and the worksheet is distributed again.
2. When accepting repair, the service supply side cannot directly locate other clients in the same range according to the provided electricity utilization information, cannot judge whether the client is an internal fault or a power grid side fault, needs to be determined on site by a processing personnel, prolongs the time for answering the client, and if the power grid side is actually cut off, the telephone quantity of the client fault repair is suddenly increased in a short time, and regional telephone traffic surge will occur.
3. The power utilization information acquisition system has a data relation that power failure information is accurately analyzed to a user, and can accurately judge the power failure property of a client side according to the power parameters, but due to the independence and the non-systematic data, an analysis application model cannot be established, and the existing power failure information data cannot sufficiently support service emergency and scheduling.
4. In the reported power failure information, influence transformer areas, power failure influence house numbers and the like are unstructured data, and data processing and analysis are not easy to perform; the line analysis related to the power failure work order has high data processing complexity due to the need of associating the customer file information; the manual analysis of the power failure information data is inefficient, and real-time and historical statistics cannot be realized.
Disclosure of Invention
The invention aims to solve the problems and provides a power failure information monitoring and analyzing system which has the advantages of realizing accurate positioning of power failure information by a fault repair work order, accurate analysis of power failure information to a home, accurate and effective management and control of power failure information, and active and efficient fault repair.
A power outage information monitoring and analysis system, comprising:
the data acquisition unit is used for acquiring basic information of a user, acquisition point data, first line data, first distribution room data and power failure information data from the SG186 marketing system; acquiring customer file data, terminal data, second station area data, second line data, calling data, terminal calling data, station area calling data and line calling data from the electricity information acquisition system; acquiring a fault repair work order from a 95598 work order management and control system;
the power failure monitoring unit is used for monitoring the power failure condition of the user;
the power failure analysis unit is used for analyzing the power failure condition of the user;
the service management unit is used for analyzing the power failure information and the repair work order of the user;
and the emergency scheduling unit is used for scheduling and recording the power failure condition of the user.
The power failure monitoring unit comprises: the power failure information monitoring module and the power failure work order monitoring module;
the power failure information monitoring module is used for monitoring the power failure information reporting condition of a user on line and tracking the power failure information execution process; the system is used for dynamically displaying power failure information in real time, managing power failure and power transmission time, acquiring power failure and power transmission conditions and incoming work orders in real time, and performing emergency treatment according to the density of the incoming work orders;
the power failure work order monitoring module is used for monitoring the actual occurrence condition of the fault and power failure information of the user on line and determining a line, a station area, an electric energy acquisition terminal or a fault point of a repair user by combining the fault repair work order and the data of the power utilization information acquisition system; the system has the function of power failure prejudgment, determines the power failure influence range, the number of clients, the fault reason and the influence degree, and adopts manual scheduling and information confirmation at the first time.
The power failure information monitoring module comprises: a power failure information real-time monitoring submodule, a power failure and power transmission time management submodule and a power failure related work order management submodule;
the power failure information real-time monitoring submodule is used for establishing a power failure information unit distribution histogram, a power failure information unit distribution histogram distributed according to hours and a power failure household number total distribution histogram, displaying power failure reasons, power failure types and power failure frequency, analyzing a traffic change trend and predicting the influence degree on customer service by combining historical data;
the power-on and power-off time management submodule is used for configuring a time early warning threshold, extracting power failure information according to a set rule, starting a scheduling mechanism 30min before a power-on and power-off time limit, monitoring information with the power failure time being more than 8h, implanting the information with the power failure time being more than 8h into a scheduling record list, and ensuring the timely update of a power-on and power-off state; the scheduling mechanism refers to the accuracy of the time of power cut and transmission of telephone communication and tracks the execution condition;
and the power failure relates to a work order management submodule which is used for associating the corresponding relation between the power failure information and the fault repair work order according to the power utilization number and the power utilization address of the transformer substation, the line, the primary acquisition terminal and the secondary concentrator, and feeding back the power failure information issuing condition to the superior acceptance link in real time. The power failure information and the fault repair work order both have public key index information of the power utilization number and the power utilization address, and the corresponding relation between the power failure information and the fault repair work order is matched through the public key index information.
The power failure work order monitoring module comprises: the work order real-time monitoring submodule, the work order power failure information management submodule, the power failure prejudgment submodule and the manual scheduling submodule are arranged;
the work order real-time monitoring submodule is used for displaying the set number of repair work order data with the latest occurrence time; setting up the work orders which do not release the power failure information, extracting the user basic information corresponding to the repair work orders from the SG186 marketing system, extracting the customer archive data and the call data from the power utilization information acquisition system, and establishing the association relationship between the repair work orders and the power failure information after determining the power failure information.
The work order power failure information management submodule is used for maintaining information of a repair work order;
the power failure pre-judging submodule is used for matching suspected power failure information in the power utilization information acquisition system according to the number and the address of the user of the fault repair work order, matching and confirming the suspected power failure information with the fault repair work order, and pre-judging the power failure of the area terminal, the station area and the line where the power failure user is located, wherein if the electric quantity of the user side does not have data, the user has power failure, if the electric quantity of the station area where the user is located has no data, the station area has power failure, and if the electric quantity of the line where the user is located has no data, the line has power failure; and returning the pre-judgment result to the power failure work order; in addition, potential power failure information is found according to historical power failure rules and historical power failure event records of the power utilization information acquisition system, and preprocessing is carried out before a customer reports and repairs;
and the manual scheduling submodule is used for judging whether the monitored power failure information and the work order are issued in real time or not, whether correlation exists or not, setting time early warning exists or not, whether telephone traffic influence exists or not, starting manual scheduling in due time, recording scheduling personnel and actual information issuing time at the same time, and implanting the scheduling personnel and the actual information issuing time into the work order monitoring record.
The power failure analysis unit includes: the power failure information analysis module, the power failure work order analysis module, the power failure information and power failure work order difference analysis module, the real-time/historical data report analysis module and the real-time quick report module are arranged in the power failure information analysis module;
the power failure information analysis module is used for analyzing power failure information, carrying out statistical analysis on power failure lines, power failure influence transformer areas, power failure influence household number and power failure and transmission condition hour distribution, and carrying out online early warning on the total-province power failure influence household number;
the power failure work order analysis module is used for reversely deducing a line or a station area where a power failure user is located according to the power failure work order information, carrying out statistical analysis on the power failure work order related line, the power failure influence station area and the power failure influence number of users, carrying out online early warning on the power failure influence number of the whole province, and analyzing the power failure area user power failure emotion sensitivity; the emotion sensitivity degree of the incoming call of the user is equal to the ratio of the number of incoming call users to the number of influencing users;
the power failure information and power failure work order difference analysis module is used for carrying out difference comparison on actual power failure information and the power failure work order, excavating power failure lines, influence station areas and influence house numbers which have power failure but do not report the power failure information, providing data support for the power failure information checking timeliness rate and the standard rate, carrying out statistical analysis on the power failure lines, the influence station areas and the influence house numbers, carrying out online early warning on the power failure difference influence house numbers of the whole province, and analyzing the hour distribution of the power failure difference degree.
And the real-time/historical data report analysis module is used for analyzing the change condition of the power failure time and providing data support for service scheduling.
And the real-time quick report module automatically generates an analysis report for the analyzed data, supports the selection of any time point according to a power failure analysis report template provided by a service department and generates an analysis report by one key.
The power failure information analysis module comprises:
the first power failure line analysis submodule is used for dynamically displaying the number of power failure lines, influence transformer areas or influence households in each time period, each power failure type or voltage class in real time and providing historical query and record detailed display according to time;
the first power failure influence user number analysis submodule is used for dynamically displaying the current power utilization type, voltage level and power transmission condition distribution diagram of the power failure influence user in real time, analyzing the importance degree, incoming call times and historical appeal of a client and judging the power failure influence degree;
the first power failure influence household number early warning submodule is used for dynamically displaying early warning analysis of power failure influence household numbers of each unit in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of early warning units on a page;
and the small distribution submodule for power failure and power transmission conditions is used for dynamically displaying the proportion and unit distribution conditions of the data which are stopped, will be stopped and stopped at each small time point in real time in a trend graph distribution mode and comparing the data change with the previous data.
The power failure work order analysis module comprises:
and the second power failure line analysis submodule is used for analyzing the power failure work order related lines, matching the number of the power failure lines, the number of the affected areas and the number of the affected users according to the number of the users of the power failure work order and the power utilization address, and performing statistical analysis according to the power failure type and the voltage grade dimensionality.
The second power failure influence household number analysis submodule is used for dynamically displaying the power utilization type, the voltage level and the user number of the power failure worksheet influencing the associated users in real time, analyzing the importance degree, the incoming call frequency and the historical appeal of the client and judging the power failure influence degree;
the second power failure influence household number early warning submodule is used for dynamically displaying early warning analysis of power failure work order correlation influence household number in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of an early warning unit on a page;
and the power failure emotion degree hour distribution submodule dynamically displays the distribution condition of emotion degrees caused by power failure at each hour point in real time in a trend graph distribution mode.
The power failure information and power failure work order difference analysis module comprises:
and the power failure line difference analysis submodule is used for comparing the reported power failure information with the power failure work order reflected power failure line information, finding out the difference line, and counting the number of the influence lines, the number of the influence station areas, the number of the influence households and the difference degree. The difference degree is equal to the ratio of the number of unreported power failures to the number of reported power failures.
And the power failure influence user number analysis submodule is used for counting the different line user list and analyzing the user electrical quantity data.
The power failure influence difference household number early warning sub-module is used for dynamically displaying early warning analysis of power failure work order correlation influence household number in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of an early warning unit on a page;
and the power failure reporting deviation small-time distribution submodule is used for monitoring the condition that power failure information should be sent.
User basic information, including: the method comprises the following steps of (1) user number, client name, electricity utilization address, user classification, metering device and acquisition point;
collecting point data, including: collecting point number, collecting point name, collecting point address and user list;
first line data comprising: line name, line number, line area list and user list;
first station zone data comprising: line name, area number, area address and area user list;
power outage information data, including: information number, transformer station name, line name, station area name, power failure type, power failure starting time, power failure ending time and power failure duration;
customer profile data, comprising: the method comprises the following steps of (1) user number, customer name, electricity utilization address, electric energy meter asset number, acquisition point number and acquisition point name;
terminal data, comprising: a terminal number, a terminal name, a terminal address and a terminal user list;
second station zone data comprising: line name, area number, area address and area user list;
second line data comprising: line name, line number, line area list and user list;
summoning data, including: user number, user name, voltage, current, power, table code, time;
the terminal summons the survey data, including: user number, user name, voltage, current, power, table code, time;
the station area calling and testing data comprises: the number of the transformer area, the name of the transformer area, voltage, current, power, table code and time;
line call testing data comprising: line number, line name, voltage, current, power, clock, time.
Compared with the prior art, the invention has the beneficial effects that:
1. and the fault repair work order accurately positions the power failure information. According to key distribution network line information such as fault repair addresses and house numbers, power failure lines and transformer stations are accurately positioned, power failure parameters of other power utilization client sides of the same power supply are analyzed, the power failure property of the client side is determined, if the power failure of the client side belongs to the power failure of the power grid side, the power failure condition can be informed through active short messages, the emotion of the client is effectively pacified, repeated power incoming of the client is reduced, internal faults of the client side belong to, the client can be guided to conduct troubleshooting in time, and the workload of rush-repair personnel is reduced.
2. And the power failure information is accurately analyzed to the home. Through SG186 marketing service system and power consumption information acquisition system data link up, realized line, become, table, complete, accurate corresponding relation in family, address, to the power failure information that has reported, can accurate locking contained power failure user quantity, the detail, avoided the repeated dispatch of work order when the customer reports the repair once more, the promotion of the one-time solution rate of customer appeal is accepted to the strong support state net customer service.
3. And the accuracy of power outage and transmission information is effectively controlled. Through the setting of the time early warning threshold value, the information of power transmission and long-time power failure is accurately extracted, the unified scheduling function of a provincial customer service center is fully exerted, the on-site emergency repair situation is timely tracked within a specified time limit, and responsibility units are reminded to transmit power or update related data on time, so that the service risk event caused by untimely and inaccurate power transmission stopping information is avoided.
4. The fault first-aid repair is active and efficient. The method has the advantages that the power failure rule of the customer side of the electricity utilization information acquisition system is judged, the fault is researched and judged quickly, the fault power failure area is determined, active first-aid repair is carried out before the customer reports the repair, customer service perception is greatly improved, fault points are matched optimally according to position information of first-aid repair personnel, and timeliness of reaching the site is enhanced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
Fig. 1 is a diagram of a service monitoring and analyzing architecture for power outage information.
FIG. 2 is a diagram of a data acquisition unit architecture;
FIG. 3 is a functional block diagram of a power outage monitoring unit;
FIG. 4 is a functional block diagram of a power outage information monitoring module;
FIG. 5 is a functional block diagram of a power outage worksheet monitoring module;
FIG. 6 is a functional block diagram of a power outage analysis unit;
FIG. 7 is a functional block diagram of a power outage information analysis module;
FIG. 8 is a functional block diagram of a power outage job ticket analysis module;
FIG. 9 is a block diagram of a difference analysis between blackout information and blackout work orders;
fig. 10 is a field of outage information monitoring and analysis data.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
As shown in fig. 1, a system for monitoring and analyzing power outage information includes:
the data acquisition unit is used for acquiring basic information of a user, acquisition point data, first line data, first distribution room data and power failure information data from the SG186 marketing system; acquiring customer file data, terminal data, second station area data, second line data, calling data, terminal calling data, station area calling data and line calling data from the electricity information acquisition system; acquiring a fault repair work order from a 95598 work order management and control system;
the power failure monitoring unit is used for monitoring the power failure condition of the user;
the power failure analysis unit is used for analyzing the power failure condition of the user;
the service management unit is used for analyzing the power failure information and the repair work order of the user;
and the emergency scheduling unit is used for scheduling and recording the power failure condition of the user.
As shown in fig. 2, the power outage information monitoring and analyzing data field mainly includes a marketing service system data field, a power utilization information collection system data field, and a 95598 work order data field.
As shown in fig. 3, the power outage monitoring unit includes: the power failure information monitoring module and the power failure work order monitoring module;
the power failure information monitoring module is used for monitoring the power failure information reporting condition of a user on line and tracking the power failure information execution process; the system is used for dynamically displaying power failure information in real time, managing power failure and power transmission time, acquiring power failure and power transmission conditions and incoming work orders in real time, and performing emergency treatment according to the density of the incoming work orders;
the power failure work order monitoring module is used for monitoring the actual occurrence condition of the fault and power failure information of the user on line and determining a line, a station area, an electric energy acquisition terminal or a fault point of a repair user by combining the fault repair work order and the data of the power utilization information acquisition system; the system has the function of power failure prejudgment, determines the power failure influence range, the number of clients, the fault reason and the influence degree, and adopts manual scheduling and information confirmation at the first time.
As shown in fig. 4, the power outage information monitoring module includes: a power failure information real-time monitoring submodule, a power failure and power transmission time management submodule and a power failure related work order management submodule;
the power failure information real-time monitoring submodule is used for establishing a power failure information unit distribution histogram, a power failure information unit distribution histogram distributed according to hours and a power failure household number total distribution histogram, displaying power failure reasons, power failure types and power failure frequency, analyzing a traffic change trend and predicting the influence degree on customer service by combining historical data;
the power-on and power-off time management submodule is used for configuring a time early warning threshold, extracting power failure information according to a set rule, starting a scheduling mechanism 30min before a power-on and power-off time limit, monitoring information with the power failure time being more than 8h, implanting the information with the power failure time being more than 8h into a scheduling record list, and ensuring the timely update of a power-on and power-off state; the scheduling mechanism refers to the accuracy of the time of power cut and transmission of telephone communication and tracks the execution condition;
and the power failure relates to a work order management submodule which is used for associating the corresponding relation between the power failure information and the fault repair work order according to the power utilization number and the power utilization address of the transformer substation, the line, the primary acquisition terminal and the secondary concentrator, and feeding back the power failure information issuing condition to the superior acceptance link in real time. The power failure information and the fault repair work order both have public key index information of the power utilization number and the power utilization address, and the corresponding relation between the power failure information and the fault repair work order is matched through the public key index information.
As shown in fig. 5, the power outage work order monitoring module includes: the work order real-time monitoring submodule, the work order power failure information management submodule, the power failure prejudgment submodule and the manual scheduling submodule are arranged;
the work order real-time monitoring submodule is used for displaying the set number of repair work order data with the latest occurrence time; setting up the work orders which do not release the power failure information, extracting the user basic information corresponding to the repair work orders from the SG186 marketing system, extracting the customer archive data and the call data from the power utilization information acquisition system, and establishing the association relationship between the repair work orders and the power failure information after determining the power failure information.
The work order power failure information management submodule is used for maintaining information of a repair work order;
the power failure pre-judging submodule is used for matching suspected power failure information in the power utilization information acquisition system according to the number and the address of the user of the fault repair work order, matching and confirming the suspected power failure information with the fault repair work order, and pre-judging the power failure of the area terminal, the station area and the line where the power failure user is located, wherein if the electric quantity of the user side does not have data, the user has power failure, if the electric quantity of the station area where the user is located has no data, the station area has power failure, and if the electric quantity of the line where the user is located has no data, the line has power failure; and returning the pre-judgment result to the power failure work order; in addition, potential power failure information is found according to historical power failure rules and historical power failure event records of the power utilization information acquisition system, and preprocessing is carried out before a customer reports and repairs;
and the manual scheduling submodule is used for judging whether the monitored power failure information and the work order are issued in real time or not, whether correlation exists or not, setting time early warning exists or not, whether telephone traffic influence exists or not, starting manual scheduling in due time, recording scheduling personnel and actual information issuing time at the same time, and implanting the scheduling personnel and the actual information issuing time into the work order monitoring record.
As shown in fig. 6, the power outage analysis unit includes: the power failure information analysis module, the power failure work order analysis module, the power failure information and power failure work order difference analysis module, the real-time/historical data report analysis module and the real-time quick report module are arranged in the power failure information analysis module;
the power failure information analysis module is used for analyzing power failure information, carrying out statistical analysis on power failure lines, power failure influence transformer areas, power failure influence household number and power failure and transmission condition hour distribution, and carrying out online early warning on the total-province power failure influence household number;
the power failure work order analysis module is used for reversely deducing a line or a station area where a power failure user is located according to the power failure work order information, carrying out statistical analysis on the power failure work order related line, the power failure influence station area and the power failure influence number of users, carrying out online early warning on the power failure influence number of the whole province, and analyzing the power failure area user power failure emotion sensitivity; the emotion sensitivity degree of the incoming call of the user is equal to the ratio of the number of incoming call users to the number of influencing users;
the power failure information and power failure work order difference analysis module is used for carrying out difference comparison on actual power failure information and the power failure work order, excavating power failure lines, influence station areas and influence house numbers which have power failure but do not report the power failure information, providing data support for the power failure information checking timeliness rate and the standard rate, carrying out statistical analysis on the power failure lines, the influence station areas and the influence house numbers, carrying out online early warning on the power failure difference influence house numbers of the whole province, and analyzing the hour distribution of the power failure difference degree.
And the real-time/historical data report analysis module is used for analyzing the change condition of the power failure time and providing data support for service scheduling.
And the real-time quick report module automatically generates an analysis report for the analyzed data, supports the selection of any time point according to a power failure analysis report template provided by a service department and generates an analysis report by one key.
As shown in fig. 7, the power outage information analysis module includes:
the first power failure line analysis submodule is used for dynamically displaying the number of power failure lines, influence transformer areas or influence households in each time period, each power failure type or voltage class in real time and providing historical query and record detailed display according to time;
the first power failure influence user number analysis submodule is used for dynamically displaying the current power utilization type, voltage level and power transmission condition distribution diagram of the power failure influence user in real time, analyzing the importance degree, incoming call times and historical appeal of a client and judging the power failure influence degree;
the first power failure influence household number early warning submodule is used for dynamically displaying early warning analysis of power failure influence household numbers of each unit in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of early warning units on a page;
and the small distribution submodule for power failure and power transmission conditions is used for dynamically displaying the proportion and unit distribution conditions of the data which are stopped, will be stopped and stopped at each small time point in real time in a trend graph distribution mode and comparing the data change with the previous data.
As shown in fig. 8, the power outage job ticket analysis module includes:
and the second power failure line analysis submodule is used for analyzing the power failure work order related lines, matching the number of the power failure lines, the number of the affected areas and the number of the affected users according to the number of the users of the power failure work order and the power utilization address, and performing statistical analysis according to the power failure type and the voltage grade dimensionality.
The second power failure influence household number analysis submodule is used for dynamically displaying the power utilization type, the voltage level and the user number of the power failure worksheet influencing the associated users in real time, analyzing the importance degree, the incoming call frequency and the historical appeal of the client and judging the power failure influence degree;
the second power failure influence household number early warning submodule is used for dynamically displaying early warning analysis of power failure work order correlation influence household number in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of an early warning unit on a page;
and the power failure emotion degree hour distribution submodule dynamically displays the distribution condition of emotion degrees caused by power failure at each hour point in real time in a trend graph distribution mode.
As shown in fig. 9, the power outage information and power outage job ticket difference analysis module includes:
and the power failure line difference analysis submodule is used for comparing the reported power failure information with the power failure work order reflected power failure line information, finding out the difference line, and counting the number of the influence lines, the number of the influence station areas, the number of the influence households and the difference degree. The difference degree is equal to the ratio of the number of unreported power failures to the number of reported power failures.
And the power failure influence user number analysis submodule is used for counting the different line user list and analyzing the user electrical quantity data.
The power failure influence difference household number early warning sub-module is used for dynamically displaying early warning analysis of power failure work order correlation influence household number in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of an early warning unit on a page;
and the power failure reporting deviation small-time distribution submodule is used for monitoring the condition that power failure information should be sent.
The method comprises the steps of monitoring and analyzing a service architecture diagram by power failure information, establishing a power failure monitoring and analyzing data model, realizing accurate positioning, active informing and emergency repair of power failure users, and comprehensively supporting service management and control and emergency scheduling. The application architecture mainly comprises a power failure monitoring and power failure analysis module. The concrete description is as follows:
1. power failure information monitoring
The method is characterized in that the method mainly comprises the steps of dynamically displaying power failure information in real time, managing power failure and power transmission time, acquiring power failure and power transmission conditions in real time, and acquiring incoming work orders, and taking emergency treatment according to the intensity of the incoming work orders, so that the reporting and sending conditions of the power failure information of a user can be mastered in time, the tracking and scheduling of the power failure information execution process can be enhanced, information support is provided for power grid construction and marketing service, service risk events can be prevented, and online monitoring of the reported and sent power failure information can be carried.
And dynamically displaying the power failure information in real time. The method comprises the steps of establishing a power failure information unit distribution, hour distribution, total amount distribution and other data monitoring models, dynamically displaying real-time data such as power failure reasons, types, frequencies and the like, supporting traffic change trend analysis, and predicting the influence degree on customer service by combining historical data.
And managing power outage and transmission time. Configuring a time early warning threshold, automatically extracting power failure information according with rules, starting a scheduling mechanism 30min before power failure time limit, monitoring the information of which the power failure time is more than 8h, and implanting a scheduling record list to ensure the timely update of the power failure state.
And (5) power failure work order management. According to key information such as a transformer substation, a circuit, a primary acquisition terminal and a secondary concentrator, the corresponding relation between the power failure information and the fault repair work order is accurately correlated, the power failure information issuing condition is fed back to a superior acceptance link in real time, the first-time solution rate of customer appeal is improved, and the service quality event caused by the response time problem is prevented and controlled.
2. Power outage work order monitoring
In order to monitor the actual occurrence condition of user fault power failure information in time, the information of lines, transformer areas, electric energy acquisition terminals, fault points and the like of repair users is determined by combining the fault repair work orders and the associated data of the power utilization information acquisition system, a power failure prejudgment function is established, the influence range of power failure, the number of customers, the fault reason and the influence degree are determined, manual scheduling and information confirmation are adopted at the first time, and the scheduling efficiency and the accurate power supply service quality are improved.
And dynamically displaying the work order in real time. Dynamically displaying the latest 20 pieces of repair work order data, setting the work orders which do not release power failure information to the top, extracting file information of the repair work orders in a marketing business application system, calling related electric parameters in an electricity utilization information acquisition system according to key information indexes, determining power failure information, reversely pushing the power failure information to the marketing business system, and establishing the association relationship between the repair work orders and the power failure information.
And (5) power failure prejudgment. Matching suspected power failure information in the power utilization information acquisition system according to the number and the address of the fault repair work order, prejudging the power failure of the area terminal, the transformer area and the line where the power failure user is located, and returning the result to the power failure work order. In addition, according to the power failure rule and the event record of the power utilization information acquisition system, suspected power failure information is actively found, and preprocessing is carried out before the customer reports and repairs.
And (5) manually scheduling and recording. And judging whether the monitored power failure information and the work order are issued and associated, carrying out time early warning and telephone traffic influence, starting manual scheduling at proper time, recording scheduling personnel and actual information issuing time, and implanting the scheduling personnel and the actual information issuing time into the work order monitoring record.
3. And analyzing power failure information. In order to master the power failure information of the whole province in time, statistics and analysis are carried out on the distribution of power failure lines, power failure influence distribution areas, power failure influence household numbers and power outage and transmission conditions in hours, online early warning is carried out on the power failure influence household numbers of the whole province, powerful data support is provided for customer service management, and service risks are effectively prevented and controlled.
And (5) analyzing a power failure line. And dynamically displaying the power failure types and the power failure line number of the voltage grade, the influence station area and the influence house number in each time period in real time, and performing historical query and record detailed display according to time.
The power outage affects the analysis of the number of households. And dynamically displaying distribution diagrams of the current power utilization type, voltage level, power transmission condition and the like of the power failure influencing users in real time, analyzing the importance degree, incoming times and historical requirements of the clients, and judging the influence degree of the power failure.
The power failure affects the early warning of the number of the households. And dynamically displaying the early warning analysis of the number of the households influenced by the power failure of each unit in real time in a GIS map form, setting an early warning value, highlighting different color reminders according to the grade, and displaying the detailed information of the early warning unit on a page.
And the power-off condition is distributed in hours. And dynamically displaying the proportion and unit distribution condition of the stopped, to-be-stopped and stopped data of each small time point in real time in a trend graph distribution form, and comparing the data change with the previous data.
4. And (5) analyzing the power failure work order. According to the information of the power failure work order, the information of the line, the power failure area and the like where the power failure user is located is reversely deduced, statistics and analysis are carried out on the power failure work order related line, the power failure influence area and the power failure influence number of the users, online early warning is carried out on the power failure influence number of the province, the incoming call emotion sensitivity degree (the number of the incoming calls/the influence number of the users) of the power failure area is analyzed, and data preparation is made for power failure difference analysis.
And (5) analyzing a power failure line. The power failure work order relates to line analysis, and is characterized in that the number of power failure lines, the number of affected transformer areas and the number of affected users are obtained according to the key information user number of the work order and the power utilization address matching, and the statistical analysis is carried out according to the dimensionalities such as the power failure type, the voltage grade and the like.
The emotional degree of power failure is distributed in hours. And dynamically displaying the distribution condition of the emotion degree caused by power failure at each hour point in real time in a trend graph distribution form, and researching the power failure time tolerance value of a client.
As shown in fig. 10, the power outage information monitoring and analyzing data field mainly includes a marketing service system data field, a power consumption information collection system data field, and a 95598 work order data field, and matches the power outage work order by analyzing an influence range related to the power outage information, otherwise, analyzes the power outage work order terminal, the station area, and the line data to determine the power outage information.
And reporting the source tracing power failure information of the repair work order. And (3) performing archive information extraction on the repair work order in the marketing business application system, calling related electric parameters in the power utilization information acquisition system according to the key information index, determining power failure information, reversely pushing the power failure information to the marketing business system, and establishing an incidence relation between the repair work order and the power failure information.
And reporting the repair work order to prejudge the power failure information. Matching suspected power failure information in the power utilization information acquisition system according to the number and the address of the fault repair work order, prejudging the power failure of the area terminal, the transformer area and the line where the power failure user is located, and returning the result to the power failure work order. In addition, according to the power failure rule and the event record of the power utilization information acquisition system, suspected power failure information is actively found, and preprocessing is carried out before the customer reports and repairs.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A power failure information monitoring and analyzing system is characterized by comprising:
the data acquisition unit is used for acquiring basic information of a user, acquisition point data, first line data, first distribution room data and power failure information data from the SG186 marketing system; acquiring customer file data, terminal data, second station area data, second line data, calling data, terminal calling data, station area calling data and line calling data from the electricity information acquisition system; acquiring a fault repair work order from a 95598 work order management and control system;
the power failure monitoring unit is used for monitoring the power failure condition of the user;
the power failure analysis unit is used for analyzing the power failure condition of the user;
the service management unit is used for analyzing the power failure information and the repair work order of the user;
the emergency scheduling unit is used for scheduling and recording the power failure condition of the user;
the power failure analysis unit includes: the power failure information analysis module, the power failure work order analysis module, the power failure information and power failure work order difference analysis module, the real-time/historical data report analysis module and the real-time quick report module are arranged in the power failure information analysis module;
the power failure information analysis module is used for analyzing power failure information, carrying out statistical analysis on power failure lines, power failure influence transformer areas, power failure influence household number and power failure and transmission condition hour distribution, and carrying out online early warning on the total-province power failure influence household number;
the power failure work order analysis module is used for reversely deducing a line or a station area where a power failure user is located according to the power failure work order information, carrying out statistical analysis on the power failure work order related line, the power failure influence station area and the power failure influence number of users, carrying out online early warning on the power failure influence number of the whole province, and analyzing the power failure area user power failure emotion sensitivity; the emotion sensitivity degree of the incoming call of the user is equal to the ratio of the number of incoming call users to the number of influencing users;
the power failure information and power failure work order difference analysis module is used for carrying out difference comparison on actual power failure information and a power failure work order, excavating a power failure line, an influence station area and an influence house number which have power failure but do not report the power failure information, providing data support for the power failure information checking timeliness rate and the standard rate, carrying out statistical analysis on the power failure line, the influence station area and the influence house number, carrying out online early warning on the power failure difference influence house number of the whole province, and analyzing the hour distribution of the power failure difference degree; the power failure difference degree is equal to the ratio of the number of unreported power failures to the number of reported power failures;
the real-time/historical data report analysis module is used for analyzing the change condition of the power failure time and providing data support for service scheduling;
the real-time quick report module automatically generates an analysis report for the analyzed data, supports the selection of any time point according to a power failure analysis report template provided by a service department, and generates an analysis report by one key.
2. The system for monitoring and analyzing power outage information according to claim 1,
the power failure monitoring unit comprises: the power failure information monitoring module and the power failure work order monitoring module;
the power failure information monitoring module is used for monitoring the power failure information reporting condition of a user on line and tracking the power failure information execution process; the system is used for dynamically displaying power failure information in real time, managing power failure and power transmission time, acquiring power failure and power transmission conditions and incoming work orders in real time, and performing emergency treatment according to the density of the incoming work orders;
the power failure work order monitoring module is used for monitoring the actual occurrence condition of the fault and power failure information of the user on line and determining a line, a station area, an electric energy acquisition terminal or a fault point of a repair user by combining the fault repair work order and the data of the power utilization information acquisition system; the system has the function of power failure prejudgment, determines the power failure influence range, the number of clients, the fault reason and the influence degree, and adopts manual scheduling and information confirmation at the first time.
3. The system for monitoring and analyzing power outage information according to claim 2,
the power failure information monitoring module comprises: a power failure information real-time monitoring submodule, a power failure and power transmission time management submodule and a power failure related work order management submodule;
the power failure information real-time monitoring submodule is used for establishing a power failure information unit distribution histogram, a power failure information unit distribution histogram distributed according to hours and a power failure household number total distribution histogram, displaying power failure reasons, power failure types and power failure frequency, analyzing a traffic change trend and predicting the influence degree on customer service by combining historical data;
the power-on and power-off time management submodule is used for configuring a time early warning threshold, extracting power failure information according to a set rule, starting a scheduling mechanism 30min before a power-on and power-off time limit, monitoring information with the power failure time being more than 8h, and implanting the information with the power failure time being more than 8h into a scheduling record list to ensure timely update of a power-on and power-off state; the scheduling mechanism refers to the accuracy of the time of power cut and transmission of telephone communication and tracks the execution condition;
the power failure related work order management submodule is used for associating the corresponding relation between power failure information and a fault repair work order according to the power utilization number and the power utilization address of a transformer substation, a circuit, a primary acquisition terminal and a secondary concentrator, and feeding back the power failure information issuing condition to a superior acceptance link in real time; the power failure information and the fault repair work order both have public key index information of the power utilization number and the power utilization address, and the corresponding relation between the power failure information and the fault repair work order is matched through the public key index information.
4. The system for monitoring and analyzing power outage information according to claim 2,
the power failure work order monitoring module comprises: the work order real-time monitoring submodule, the work order power failure information management submodule, the power failure prejudgment submodule and the manual scheduling submodule are arranged;
the work order real-time monitoring submodule is used for displaying the set number of repair work order data with the latest occurrence time; setting up a work order which does not release power failure information, extracting user basic information corresponding to a repair work order from an SG186 marketing system, extracting customer archive data and call data from a power utilization information acquisition system, and establishing an association relation between the repair work order and the power failure information after determining the power failure information;
the work order power failure information management submodule is used for maintaining information of a repair work order;
the power failure pre-judging submodule is used for matching suspected power failure information in the power utilization information acquisition system according to the number and the address of the user of the fault repair work order, matching and confirming the suspected power failure information with the fault repair work order, and pre-judging the power failure of the area terminal, the station area and the line where the power failure user is located, wherein if the electric quantity of the user side does not have data, the user has power failure, if the electric quantity of the station area where the user is located has no data, the station area has power failure, and if the electric quantity of the line where the user is located has no data, the line has power failure; and returning the pre-judgment result to the power failure work order; in addition, potential power failure information is found according to historical power failure rules and historical power failure event records of the power utilization information acquisition system, and preprocessing is carried out before a customer reports and repairs;
and the manual scheduling submodule is used for judging whether the monitored power failure information and the work order are issued in real time or not, whether correlation exists or not, setting time early warning exists or not, whether telephone traffic influence exists or not, starting manual scheduling in due time, recording scheduling personnel and actual information issuing time at the same time, and implanting the scheduling personnel and the actual information issuing time into the work order monitoring record.
5. The system for monitoring and analyzing power outage information according to claim 1,
the power failure information analysis module comprises:
the first power failure line analysis submodule is used for dynamically displaying the number of power failure lines, influence transformer areas or influence households in each time period, each power failure type or voltage class in real time and providing historical query and record detailed display according to time;
the first power failure influence user number analysis submodule is used for dynamically displaying the current power utilization type, voltage level and power transmission condition distribution diagram of the power failure influence user in real time, analyzing the importance degree, incoming call times and historical appeal of a client and judging the power failure influence degree;
the first power failure influence household number early warning submodule is used for dynamically displaying early warning analysis of power failure influence household numbers of each unit in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of early warning units on a page;
and the small distribution submodule for power failure and power transmission conditions is used for dynamically displaying the proportion and unit distribution conditions of the data which are stopped, will be stopped and stopped at each small time point in real time in a trend graph distribution mode and comparing the data change with the previous data.
6. The system for monitoring and analyzing power outage information according to claim 1,
the power failure work order analysis module comprises:
the second power failure line analysis submodule is used for analyzing the power failure work order related lines, matching the number of power failure lines, the number of affected areas and the number of affected users according to the number of the users and the power utilization address of the power failure work order, and performing statistical analysis according to the power failure type and the voltage grade dimensionality;
the second power failure influence household number analysis submodule is used for dynamically displaying the power utilization type, the voltage level and the user number of the power failure worksheet influencing the associated users in real time, analyzing the importance degree, the incoming call frequency and the historical appeal of the client and judging the power failure influence degree;
the second power failure influence household number early warning submodule is used for dynamically displaying early warning analysis of power failure work order correlation influence household number in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of an early warning unit on a page;
and the power failure emotion degree hour distribution submodule dynamically displays the distribution condition of emotion degrees caused by power failure at each hour point in real time in a trend graph distribution mode.
7. The system for monitoring and analyzing power outage information according to claim 1,
the power failure information and power failure work order difference analysis module comprises:
the power failure line difference analysis submodule is used for comparing the reported power failure information with the power failure work order reflected power failure line information, finding out a difference line, and counting the number of influence lines, the number of influence station areas, the number of influence households and the difference degree; the difference degree is equal to the ratio of the number of unreported power failures to the number of reported power failures;
the power failure influence user number analysis submodule is used for counting a difference line user list and analyzing the user electric quantity data;
the power failure influence difference household number early warning sub-module is used for dynamically displaying early warning analysis of power failure work order correlation influence household number in real time in a GIS map mode, setting an early warning value, highlighting different color reminders according to levels, and displaying detailed information of an early warning unit on a page;
and the power failure reporting deviation small-time distribution submodule is used for monitoring the condition that power failure information should be sent.
8. The system for monitoring and analyzing power outage information according to claim 1,
user basic information, including: the method comprises the following steps of (1) user number, client name, electricity utilization address, user classification, metering device and acquisition point;
collecting point data, including: collecting point number, collecting point name, collecting point address and user list;
first line data comprising: line name, line number, line area list and user list;
first station zone data comprising: line name, area number, area address and area user list;
power outage information data, including: information number, transformer station name, line name, station area name, power failure type, power failure starting time, power failure ending time and power failure duration;
customer profile data, comprising: the system comprises a user number, a customer name, a power utilization address, an electric energy meter asset number, a collection point number and a collection point name.
9. The system for monitoring and analyzing power outage information according to claim 1,
terminal data, comprising: a terminal number, a terminal name, a terminal address and a terminal user list;
second station zone data comprising: line name, area number, area address and area user list;
second line data comprising: line name, line number, line area list and user list;
summoning data, including: user number, user name, voltage, current, power, table code, time;
the terminal summons the survey data, including: user number, user name, voltage, current, power, table code, time;
the station area calling and testing data comprises: the number of the transformer area, the name of the transformer area, voltage, current, power, table code and time;
line call testing data comprising: line number, line name, voltage, current, power, clock, time.
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