CN111339447B - Accurate push system of power failure SMS based on big data analysis - Google Patents
Accurate push system of power failure SMS based on big data analysis Download PDFInfo
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Abstract
The invention discloses a power failure short message accurate pushing system based on big data analysis, which comprises a distribution network GIS system, a marketing metering system, a comprehensive control analysis system, a production management system and an operator big data platform, wherein the distribution network GIS system, the marketing metering system and the production management system are all connected with the comprehensive control analysis system, and the output end of the comprehensive control analysis system is connected with the operator big data platform; after the comprehensive control analysis system receives real-time data of the distribution network GIS system, the marketing metering system and the production management system for analysis and processing, the power outage range is pushed to an operator big data platform through an operator big data platform interface, and the operator big data platform accurately pushes the power outage short message to a user. The invention can realize intelligent, timely, accurate and efficient notification pushing targets for the power outage range and power outage information pushing, and enhance the visualization and service capacity of the power outage range.
Description
Technical Field
The invention relates to the technical field of accurate pushing of power failure short messages, in particular to an accurate pushing system of power failure short messages based on big data analysis.
Background
The social information is highly developed, any small outage event or untimely rush repair can collide with a customer, and the small outage event or the untimely rush repair can be amplified by public opinion or a network to have huge negative influence on a power supply enterprise, so that the optimization of an information disclosure mode, the optimization of a customer service channel and the optimization of a customer service mode are unprecedented. At present, due to the fact that historical account lack is large in villages in part of cities, load development is fast, excessive trip is caused due to summer heavy overload, and customer complaints are large.
The power outage plan and the repair emergency repair progress are closely matched in a short message sending mode, so that the effects of customer awareness, advanced planning and complaint reduction are achieved, but short message sending is limited by the complete rate and the accuracy of customer archive information, and most areas are rented houses, so that population density is high, mobility is high, and a large number of tenant contact modes are difficult to master. The current power grid can only push short messages of power failure and power restoration events to power utilization registration clients, and power failure and power restoration information cannot be put into the actually affected people.
At present, each person can carry a mobile phone when going out, the current position of the user can be positioned according to signaling data and the position of the base station, and the travel link information of the person in the time dimension and the space latitude can be restored by utilizing the positioning information of the person; demographic big data application services are formed according to data such as demographic internet surfing behavior, labels, attributes, mobility, changes and the like. With the maturity of cloud computing and big data technology application, three current operators (China Mobile, china Unicom, china telecom) can provide big data application services.
Disclosure of Invention
Therefore, the invention provides a power failure short message accurate pushing system based on big data analysis, which aims to solve the problems in the prior art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
the power failure short message accurate pushing system based on big data analysis comprises a distribution network GIS system, a marketing metering system, a comprehensive control analysis system, a production management system and an operator big data platform, wherein the distribution network GIS system, the marketing metering system and the production management system are all connected with the comprehensive control analysis system, and the output end of the comprehensive control analysis system is connected with the operator big data platform;
the comprehensive control analysis system is used for receiving real-time data of the distribution network GIS system, the marketing metering system and the production management system, analyzing and processing the real-time data to obtain a power outage range corresponding to the real-time data, and pushing the power outage range to an operator big data platform through an operator big data platform interface; and the operator big data platform accurately pushes the power failure short message comprising real-time data and the power failure range to the user.
Optionally, the comprehensive control analysis system comprises a data fusion module, a power failure range analysis module and a high-precision electronic map.
Optionally, the distribution network GIS system is configured to provide point resource location information and line resource path trend information; the marketing metering system is used for providing station, line, change and household relation data and the position of the user ammeter, and the production management system is used for providing power outage information, and lines and equipment overhauled or influenced by the power outage.
Optionally, the marketing metering system uses a transformer as a minimum unit, defines a power supply grid according to the position of the user ammeter, the position of the concentrator and the belonged transformer, and combines a building range presented by a high-precision electronic map background at the same time, and each transformer draws one power supply grid.
Optionally, the comprehensive control analysis system analyzes the distribution transformer which is specifically affected according to the station, line, transformer and household relations provided by the marketing metering system and the wiring relations obtained from the distribution network GIS system, so as to analyze a power outage grid and further obtain the specific power outage range; providing longitude and latitude of each inflection point for the power outage range in a clockwise direction, and pushing the power outage range to an operator big data platform through an operator big data platform interface; and the operator big data platform analyzes resident population in the current power outage range through big data of operator population, and accurately puts power outage short messages to actual affected power utilization clients.
Optionally, the data interaction mode of the distribution network GIS system includes:
the corresponding class acquisition data is called through a real-time interface;
and (3) exporting CIM model data through a distribution network GIS system, and analyzing the CIM model data.
Optionally, the method for analyzing the CIM model data includes:
and analyzing and resolving the CIM data through a DOM4J resolving engine, storing the resolved data into a temporary database table, and storing the temporary database table into a resource table corresponding to the formal database after checking the data through a program.
Optionally, the data interaction mode of the production management system is to receive the power outage information data in an http request response mode, and the power outage information needs to be timely obtained, and the power outage grid is timely presented on the grid service platform and a specific power outage range is obtained.
Optionally, the marketing metering system acquires data information in an Excel guide table mode, sorts and fills similar resource data into a file through a standard attribute name table head to obtain an Excel file, and analyzes and reads the data from the Excel file in a professional file I/O stream mode; in the process of analysis and import, a data checking and verifying mechanism is formulated, and for the situation that the form data is incorrect or the logic is problematic in the process of analysis and import, the system automatically analyzes and generates a problem data correction list, ensures the accuracy of data analysis and import, and finally stores the problem data correction list in a local database.
Optionally, the mobile interface interaction mode of the large data platform of the operator is to receive data in an http request response mode, and the interaction mode of the large data platform of the operator, the communication interface and the telecommunication interface is to acquire and push the data in a rest interface mode.
The invention has the following advantages:
the invention can realize intelligent, timely, accurate and efficient notification pushing targets for the power outage range and power outage information pushing, and enhance the visualization and service capacity of the power outage range.
The invention realizes visualization of the power outage scope based on the abstract power outage scope and the high-precision electronic map; auxiliary fault investigation, determining a power supply grid where a fault is located according to a fault reporting point, and supporting the fault investigation according to a wiring relation of a transformer and a transformer to which the power supply grid belongs; the accurate throwing of the power outage short message is realized, the advertising efficiency of the power outage short message is improved, and the advertising channel of the power outage information is changed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
Fig. 1 is a block diagram of a pushing system according to an embodiment of the present invention;
fig. 2 is a flowchart of CIM model data analysis according to an embodiment of the present invention;
fig. 3 is a schematic diagram of obtaining data information by means of an Excel guide table according to an embodiment of the present invention.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the invention provides a power failure short message accurate pushing system based on big data analysis, which accurately pushes defined power failure information each time, enables real power utilization clients within a power failure range to know and arrange in advance, achieves normal life of the power utilization clients without influence, reduces customer complaint rate, and improves power grid enterprise image. Through the perception of the electricity consumption clients and the awareness of the initiative service of the power grid enterprises, the electricity consumption clients can be led to pay attention to the public numbers of the power grid enterprises in the follow-up process, the electricity consumption clients can know the power outage details and the policies of the related power grid enterprises through the public numbers of the power grid enterprises, the trust and the honoring of the vast clients are achieved, and the friendly interaction between the power supply enterprises and the electricity consumption clients is realized.
The system specifically comprises a distribution network GIS system, a marketing metering system, a comprehensive control analysis system, a production management system and an operator big data platform, wherein the distribution network GIS system, the marketing metering system and the production management system are all connected with the comprehensive control analysis system, and the output end of the comprehensive control analysis system is connected with the operator big data platform; after the comprehensive control analysis system receives real-time data of the distribution network GIS system, the marketing metering system and the production management system for analysis and processing, the power outage range is pushed to an operator big data platform through an operator big data platform interface, and the operator big data platform accurately pushes the power outage short message to a user. The comprehensive control analysis system comprises a data fusion module, a power failure range analysis module and a high-precision electronic map.
The method comprises the steps of obtaining point resource position information and line resource path trend information from a distribution GIS system, obtaining station, line, transformer and household relation data from a marketing and metering system, taking a transformer as a minimum unit, defining a power supply grid according to the position of a user ammeter, the position of a concentrator and the belonged transformer, and simultaneously combining a building range presented by a high-precision electronic map background, wherein each transformer is drawn into a power supply grid.
The method comprises the steps of obtaining power outage information from a production management system, obtaining lines and equipment which are overhauled or influenced by the power outage, analyzing a specific influenced distribution transformer according to station, line, transformer and household relations and wiring relations obtained from a distribution network GIS system, analyzing a power outage grid, further obtaining a specific power outage range, providing longitude and latitude of each inflection point (adopting a WGS84 coordinate system) of the power outage grid according to a clockwise direction, pushing the power outage range to an operator big data platform through an operator big data platform interface, and analyzing resident population in the power outage range through operator big data, so that power outage short messages are accurately thrown to actually influenced power utilization customers.
At present, a distribution network GIS system provides two modes of data interaction, one mode is to retrieve corresponding class acquisition data through a real-time interface, and the other mode is to derive CIM model data through the distribution network GIS system and then analyze the CIM model data.
As shown in fig. 2, the real-time requirement on the GIS system data of the distribution network is not high, and the basic resource data, line data, topology connection and the like are mainly acquired, so that the technical scheme adopts a mode of analyzing CIM model data. The details are as follows:
in order to improve the accuracy of analysis data, through a DOM4J analysis engine (DOM 4J is a Java XML API for reading and writing XML files, has the characteristics of excellent performance, powerful functions and extremely easy use), CIM data are firstly analyzed and analyzed, the analyzed data are stored in a temporary database table, and after the data are checked through a program, the data are stored in a resource table corresponding to a formal database.
The data interaction mode of the production management system is to receive power outage information data in an http request response mode, power outage information needs to be timely obtained, power outage grids are timely presented on the grid service platform, and therefore a specific power outage range is known.
Therefore, the real-time performance of the power outage information is high, the power outage information is obtained in real time through heartbeat monitoring by interfacing the grid service platform development interface adapter with the production management system, and the safety of data is guaranteed through encryption verification.
The marketing metering system obtains the relations among stations, changes, lines, changes and households and the positions of the user electric meters, the real-time requirement on data is not high, related information is not changed in a large amount basically, marketing and metering data are stored and scattered, but a set of maintained Excel forms are provided with the relations among the recording stations, the changes, the lines, the changes and the households, so that the project design adopts a mode of directly obtaining data information through an Excel guide table.
As shown in fig. 3, the similar resource data is arranged and filled into the file specifically through the standard attribute name header, then the Excel file can be analyzed and read through a professional file I/O stream mode, a data checking and verifying mechanism is formulated in the process of analysis and importing, and for incorrect table data or logic problems in the process of analysis and importing, the system automatically analyzes and generates a problem data correction list, ensures the accuracy of data analysis and importing, and finally saves the data in a local database.
The power supply range is determined in the following manner:
the traditional power outage scope is described by words, such as 'certain area', 'certain line', 'certain road', 'certain area', and the accurate power outage scope based on a geographic map is lacking, so that the abstract problem of the power outage scope is solved by utilizing the meshing concept. The grid concept is actually a means on management, management responsibility is thinned, the grid is applied to a power supply partition, a power supply range of a transformer is determined by taking the transformer as a minimum unit, the conditions of a high-precision electronic map building, a cell, a street, villages and the like are combined, and simultaneously, the longitude and latitude of a user ammeter and a concentrator which are powered by the transformer are combined, so that the power supply grid of each transformer is drawn.
The power outage transformer influenced by the current power outage is analyzed according to the power outage object in the power outage information, and the power outage grid is determined, so that a specific power outage range is defined.
The mobile interface interaction mode of the large data platform of the operator is to receive data in a http request response mode, and the interaction mode of the large data platform of the operator and the communication interface is to acquire and push the data in a rest interface mode.
The stopping range (power outage grid) is provided with longitude and latitude of each inflection point (WGS 84 coordinate system is adopted) according to the clockwise direction, so that the accurate power outage range is determined, through operator big data platform analysis, the big data platform is used for analyzing different labels of resident personnel, temporary personnel, resident personnel, office personnel and the like in the power outage range based on mobile phone signaling, and the direct crowd which can be influenced by the power outage is determined by combining the power outage time, so that the power outage short message information is accurately sent to the affected crowd in a directional mode.
The system disclosed by the invention can be used for pushing the power outage range and the power outage information, so that intelligent, timely, accurate and efficient notification pushing targets are realized, and the visualization and service capacity of the power outage range are enhanced; specific:
1. and realizing visualization of the abstract power outage scope based on the high-precision electronic map.
2. And (3) assisting in fault investigation, determining a power supply grid where the fault is located according to a fault reporting point, and supporting the fault investigation according to the wiring relation of the transformers and the transformers to which the power supply grid belongs.
3. The accurate throwing of the power outage short message is realized, the advertising efficiency of the power outage short message is improved, and the advertising channel of the power outage information is changed.
4. The perceptibility, acceptance and enterprise image of the power grid enterprises in the public centers are improved, benign interaction between the enterprises and the society is realized, a harmonious and concurrent development environment is built, and meanwhile, the method is also a powerful practice of active service of a large power grid.
5. The complaint that the customer cannot be notified in place due to power failure is reduced, the power supply service quality of the company is further improved, and the enterprise image of the company is improved.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (8)
1. The power failure short message accurate pushing system based on big data analysis is characterized by comprising a distribution network GIS system, a marketing metering system, a comprehensive control analysis system, a production management system and an operator big data platform, wherein the distribution network GIS system, the marketing metering system and the production management system are all connected to the comprehensive control analysis system, and the output end of the comprehensive control analysis system is connected to the operator big data platform;
the comprehensive control analysis system is used for receiving real-time data of the distribution network GIS system, the marketing metering system and the production management system, analyzing and processing the real-time data to obtain a power outage range corresponding to the real-time data, and pushing the power outage range to an operator big data platform through an operator big data platform interface; the operator big data platform accurately pushes the power failure short message comprising real-time data and the power failure range to a user;
the comprehensive control analysis system comprises a data fusion module, a power failure range analysis module and a high-precision electronic map;
the distribution network GIS system is used for providing point resource position information and line resource path trend information; the marketing metering system is used for providing station, line, change and household relation data and the position of a user ammeter, and the production management system is used for providing power outage information, and lines and equipment overhauled or influenced by the power outage;
the comprehensive control analysis system acquires power outage information from the production management system in real time through heartbeat monitoring, analyzes power outage grids according to station, line, transformer and household relation data and the power outage information, acquires longitude and latitude of each inflection point of the power outage grids in a clockwise direction, analyzes power outage range according to the longitude and latitude of each inflection point, pushes the power outage range to an operator big data platform through an operator big data platform interface, and the operator big data platform analyzes the power outage range to obtain power utilization clients in the power outage range and accurately puts power outage short messages to the actually affected power utilization clients.
2. The accurate pushing system of the power failure short message based on big data analysis according to claim 1, wherein the marketing metering system takes a transformer as a minimum unit, defines power supply grids according to the position of a user electric meter, the position of a concentrator and the belonged transformer and combines a building range presented by a high-precision electronic map background, and each transformer draws one power supply grid.
3. The accurate pushing system of the power outage short message based on big data analysis according to claim 2, wherein the comprehensive control analysis system analyzes a specific affected distribution transformer according to the station, line, transformer and household relations provided by the marketing metering system and the wiring relations obtained from the distribution network GIS system, so as to analyze a power outage grid and further obtain a specific power outage range; providing longitude and latitude of each inflection point for the power outage range in a clockwise direction, and pushing the power outage range to an operator big data platform through an operator big data platform interface; and the operator big data platform analyzes resident population in the current power outage range through big data of operator population, and accurately puts power outage short messages to actual affected power utilization clients.
4. The accurate pushing system of power outage short message based on big data analysis according to claim 1, wherein the data interaction mode of the distribution network GIS system comprises:
the corresponding class acquisition data is called through a real-time interface;
and (3) exporting CIM model data through a distribution network GIS system, and analyzing the CIM model data.
5. The accurate pushing system of power outage short message based on big data analysis according to claim 4, wherein the method for analyzing the CIM model data comprises:
and analyzing and resolving the CIM data through a DOM4J resolving engine, storing the resolved data into a temporary database table, and storing the temporary database table into a resource table corresponding to the formal database after checking the data through a program.
6. The accurate pushing system of the power outage short message based on big data analysis according to claim 5, wherein the data interaction mode of the production management system is to receive power outage information data in an http request response mode, power outage information needs to be obtained in time, a power outage grid is displayed in time on a grid service platform, and a specific power outage range is obtained.
7. The accurate pushing system of the power failure short message based on big data analysis according to claim 6, wherein the marketing metering system obtains data information in an Excel guide table mode, sorts and fills similar resource data into a file through a standard attribute name table head to obtain an Excel file, and analyzes and reads data of the Excel file in a professional file I/O stream mode; in the process of analysis and import, a data checking and verifying mechanism is formulated, and for the situation that the form data is incorrect or the logic is problematic in the process of analysis and import, the system automatically analyzes and generates a problem data correction list, ensures the accuracy of data analysis and import, and finally stores the problem data correction list in a local database.
8. The accurate pushing system of power failure short message based on big data analysis according to claim 7, wherein the mobile interface interaction mode of the operator big data platform is to receive data by means of http request response, and the interaction mode with the communication interface and the telecom interface is to acquire and push data by means of a rest interface.
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103955865A (en) * | 2014-04-22 | 2014-07-30 | 国网电力科学研究院 | Scheduled and faulted power outage range visualization method based on information interaction |
KR20150135681A (en) * | 2014-05-23 | 2015-12-03 | (주)아크로퓨처 | System and method for push type marketing service based on location |
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US9319535B2 (en) * | 2013-06-25 | 2016-04-19 | Syniverse Technologies, Llc | Method and apparatus to collect, analyze, and utilize network data |
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CN103955865A (en) * | 2014-04-22 | 2014-07-30 | 国网电力科学研究院 | Scheduled and faulted power outage range visualization method based on information interaction |
KR20150135681A (en) * | 2014-05-23 | 2015-12-03 | (주)아크로퓨처 | System and method for push type marketing service based on location |
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