CN114676347A - APP power supply service visualization method based on high-precision map - Google Patents

APP power supply service visualization method based on high-precision map Download PDF

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Publication number
CN114676347A
CN114676347A CN202210269040.0A CN202210269040A CN114676347A CN 114676347 A CN114676347 A CN 114676347A CN 202210269040 A CN202210269040 A CN 202210269040A CN 114676347 A CN114676347 A CN 114676347A
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module
distribution network
map
real
power supply
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汪峰
殷红德
李伟东
陈世鹏
张帅可
杨得洋
王鼎
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Pingdingshan Power Supply Co of State Grid Henan Electric Power Co Ltd
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Pingdingshan Power Supply Co of State Grid Henan Electric Power Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention provides a power supply service visualization method based on a high-precision map APP. Meanwhile, the big data storage and analysis module calls data from the database, monitors the power utilization condition of the user and analyzes whether the electricity is stolen or not. Real-time high accuracy electric wire netting map and data analysis result that generate at the background data end will transmit to the mobile device, and through mobile device end APP, power supply maintenance personnel can look over the circuit map in real time, look over user's power consumption data analysis to in time receive the fault alarm.

Description

APP power supply service visualization method based on high-precision map
Technical Field
The invention relates to the technical field of distribution network data visualization, in particular to a power supply service visualization method based on a high-precision map APP.
Background
With the increase of the current urban resident electricity consumption scale, the power-receiving users put forward higher requirements on the power supply reliability of the power service, and the power supply service quality is improved, namely the social responsibility of the central enterprises is fulfilled, and a good image can be established in society. In actual conditions, most of emergency repair is that a low-voltage user has no electricity for one user, but the range related to urban areas is wide, if emergency repair personnel do not know the specific position of a fault user, the affiliated line-to-line relation and the affiliated user-to-user relation cannot be quickly determined, and the specific position of the user number is definite, the emergency repair personnel need to contact a transformer area manager and a line length to be matched with each other before emergency repair, the emergency repair time is delayed, the fault emergency repair is not facilitated to be quickly completed, and the progress of other various kinds of work is restricted.
Meanwhile, as the number of users increases and electricity stealing behaviors are frequently prohibited, the behaviors bring economic loss to common users and threaten the normal electricity utilization safety, but the complicated urban circuits also bring difficulty to power supply maintenance personnel in the direction of electricity stealing behavior detection, and the anti-theft work efficiency of related departments is low, so that the work efficiency of power supply departments can be greatly improved if the complicated power grid is visualized.
For example, the chinese patent application publication No. CN112287423A discloses a visual planning method and terminal for a power distribution network based on graph-model integration. According to the method, power grid graphic data and equipment ledger data are obtained, a current power grid graph is drawn according to the association matching relationship between the power grid graphic data and the equipment ledger data, planning and transformation are carried out on the current power grid graph according to the fact that planning information is input into a graphic page by a user, the topological relationship between equipment is maintained automatically, a planning power grid graph is drawn and generated, and the planning power grid graph is displayed on the graphic page. The method realizes power grid visualization mainly through conscientious integrated design, solves the problem of insufficient data fusion, and does not design power grid fault visualization. Therefore, in order to widen the power grid visualization function and improve the working efficiency of power supply companies, a power supply service visualization method based on a high-precision map APP is designed.
Disclosure of Invention
The invention aims to provide a power supply service visualization method based on a high-precision map APP, and the method is characterized in that power supply maintenance personnel can check a real-time circuit map, power consumption condition analysis of each user and circuit fault alarm through a mobile terminal APP.
The purpose of the invention is realized by the following technical scheme: a power supply service visualization technology service based on a high-precision map APP comprises the following steps: a power supply service visualization method based on a high-precision map APP is characterized by comprising the following steps: the method comprises the following steps:
(1) building a basic map: the geographical position information of the electrical equipment is collected through the knowledge map of the topological structure of the power distribution network and the user variable relation verification, and the circuit structure between the electrical equipment is identified and constructed through the feed topological structure of the power distribution network to construct a basic map;
(2) collecting real-time data: geographic position data are collected through a positioning module of a detector in intelligent distribution network positioning equipment, the real-time condition of a regional circuit is monitored through a fault monitoring module, and the corresponding geographic position data and the circuit condition are sorted and stored in a database;
(3) and (3) building a real-time high-precision power grid map by combining a basic map: a distribution network management system of a background data end in the intelligent distribution positioning equipment calls geographic positions and circuit condition information in a database, and a real-time high-precision power grid map is generated by combining a basic map;
(4) and (3) data analysis: the big data storage and analysis module (5) of the background data end is used for storing and analyzing the information collected by the detector;
(5) And (3) data output: and transmitting the real-time map of the power grid, the big data analysis result and the real-time fault information to the mobile terminal.
The electrical equipment data required in the power distribution network topology knowledge graph construction and the user transformation relation checking come from a county company database.
The distribution network feeder line topological structure identification identifies the connection relation between the electrical equipment through current matrix research and a topological matrix model.
The intelligent distribution network positioning device comprises a background data end and a detector, wherein the background data end is connected with the mobile device end through an information transmission module, and the detector is connected with the background data end through a signal transmitting module; the background data end comprises an information transmission module, an alarm module, an MPU (microprocessor unit), a database, a big data storage and analysis module and a power distribution network management system, wherein the information transmission module, the alarm module, the database and the power distribution network management system are all connected with the MPU, and the big data storage and analysis module and the power distribution network management system are all connected with the database; the detector comprises a signal transmitting module, a real-time monitoring system, a fault monitoring module, a power supply module and a positioning module, wherein the signal transmitting module, the fault monitoring module, the power supply module and the positioning module are all connected with the real-time monitoring system, and the signal transmitting module is connected with the information transmission module.
The positioning module is a positioning chip.
The power distribution network management system is a GIS-based power distribution network management system.
And the power grid real-time map, the big data analysis result and the real-time fault information are transmitted to the APP of the mobile equipment end through the cloud platform.
Compared with the prior art, the invention has the following beneficial effects:
(1) the method comprises the steps of generating a basic map through power distribution network topological structure knowledge map construction, user variable relation checking and power distribution network feeder line topological structure identification, performing topology checking by identifying user variable relations according to power distribution equipment and power utilization address incidence relations, performing verification and calibration through a static topology checking process based on a current comparison method and a dynamic topology checking method after power failure processing, and improving the accuracy of the basic map.
(2) The circuit of the area where the detector is located is monitored in real time through the positioning module and the fault monitoring module of the detector, a real-time circuit map is generated by utilizing related data, the real-time map is accurately provided, and the specific position of the fault can be timely provided and an alarm can be given out when the fault occurs.
(3) The big data storage and analysis module through the background data end can monitor the electricity consumption condition of the user in real time, judge whether the user line is normal or not, judge whether the electricity stealing condition exists or not, and improve the work efficiency of electricity stealing prevention.
(4) Can look over the circuit map in real time through the mobile device end to in time receive the trouble alarm, make things convenient for power supply personnel to lock the fault point rapidly, improve maintenance efficiency.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic block diagram of a distribution network intelligent positioning apparatus;
in the figure: the system comprises an information transmission module 1, an alarm module 2, an MPU 3, a database 4, a big data storage and analysis module 5, a power distribution network management system 6, a signal transmission module 7, a real-time monitoring system 8, a fault monitoring module 9, a power supply module 10 and a positioning module 11.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a power supply service visualization technology service based on a high-precision map APP, including the following steps:
Building a basic map: the geographical position information of electrical equipment such as power transformers, electric energy meters and the like is collected through the power distribution network topological structure knowledge map and the user variable relation correction, data for constructing the power distribution network topological structure knowledge map and checking the user variable relation come from a county company database, the positions and the subordination relations of the power devices such as the power transformers, the electric energy meters and the like in the region can be basically determined through data in the county company database, then the user variable relation is identified according to the power distribution equipment and power utilization address incidence relation for topology checking, and the knowledge map is constructed; the method comprises the steps of identifying and building a line structure between electrical equipment through a power distribution network feed topological structure, determining a line connection relation between the electrical equipment to build a basic map based on current matrix research and a topological matrix model, checking whether current data between lines conform to a kirchhoff current law through a static topological checking process based on a current comparison method, checking whether the circuit connection relation of the basic map is correct, checking the dependency relation between the electrical equipment by using fault points and affected power failure area data after power failure in history through a dynamic topological checking method after power failure processing, and improving the accuracy of the basic circuit.
Collecting real-time data: geographic position information is collected through detection device's among the distribution network intelligent positioning equipment orientation module 11, carry out the electric wire netting information through fault monitoring module 9, and upload the corresponding information of collecting in real time, real-time update's data is put in order and is stored in database 4, wherein orientation module 12 is the location chip, the location chip can adopt GB1612 GPS module, this chip can be automatic real-time with big dipper or GPS communication, acquire the positional information of detector.
And (3) building a real-time high-precision power grid map by combining a basic map: and calling information in the database 4 through a power distribution network management system 6 of a background data end in the power distribution intelligent positioning device, and generating a real-time high-precision power grid map by using the relevant data and a basic map, wherein the power distribution network management system 6 is a GIS-based power distribution network management system.
And (3) data analysis: the detector collects geographical position information through the positioning module 11, circuit information is detected through the fault detection module 9, the geographical position and the circuit information are transmitted to the background data end, the data are integrated in the database 4 and then are called by the big data storage and analysis module 5 to be analyzed, the power utilization condition of a user is compared with the historical power utilization condition of the user, the power utilization information of the user is monitored in real time, and whether the power utilization data of the user are abnormal or not and whether the power stealing or the power stealing situation exists or not is judged.
And (3) data output: through removing the end with real-time high accuracy electric wire netting map and big data analysis result, make and remove the usable APP of end and look over real-time high accuracy electric wire netting map information in real time, when certain equipment broke down in the distribution network, the mobile device sent out the police dispatch newspaper to the maintenance personal that supplies power through APP, and relevant maintenance personal can fix a position the positional information who goes out the fault point accurately fast, provides real-time information for salvageing fast.
The intelligent positioning equipment of the distribution network comprises a background data end and a detector, wherein the background data end is connected with the mobile equipment end through an information transmission module 1, and the detector is communicated with the background data end through a signal transmitting module 7; the background data end comprises an information transmission module 1, an alarm module 2, an MPU3, a database 4, a big data storage and analysis module 5 and a power distribution network management system 6, the information transmission module 1, the alarm module 2, the database 4 and the power distribution network management system 6 are connected with the MPU3, and the big data storage and analysis module 5 and the power distribution network management system 6 are connected with the database 4; the detector comprises a signal transmitting module 7, a fault monitoring module 9, a power supply module 10 and a positioning module 11, wherein the signal transmitting module 7, the fault monitoring module 9, the power supply module 10 and the positioning module 11 are connected with a real-time monitoring system 8.
The invention realizes map building and real-time monitoring of the circuit, and can check the real-time information of the circuit, detect the power consumption data of a user and receive line fault alarm through the mobile terminal APP. The method comprises the steps of firstly identifying the positions of electric power facilities such as a primary positioning transformer meter, an electric energy meter and the like through a power distribution network topological structure knowledge graph and a user transformation relation correction and a power distribution network feed topological structure, judging the line relation among electric equipment and building a basic map. After the basic map is built, the position of a circuit in the area is recorded and fault monitoring is carried out through a detector in the intelligent positioning equipment of the distribution network, the collected position information and the line condition are transmitted to a background data end of the intelligent positioning equipment of the distribution network in real time, the background data end integrates and stores related information in a database, and then the distribution network management system generates a real-time high-precision power grid map by calling database data and combining the basic map. Meanwhile, the big data storage and analysis module can also call data from the database, monitor the electricity utilization condition of the user and analyze whether electricity stealing or stolen electricity exists or not. Through the mobile device end, the circuit map can be looked over in real time to power supply maintenance personal, knows current information, also can in time receive relevant alarm message through APP when the trouble takes place, in time catches up to the scene and salvages. The method provided by the application has the advantages of simple structure, reasonable logic, easiness in implementation and capability of being popularized.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.

Claims (7)

1. A power supply service visualization method based on a high-precision map APP is characterized by comprising the following steps: the method comprises the following steps:
building a basic map: the geographical position information of the electrical equipment is collected through the knowledge map of the topological structure of the power distribution network and the user variation relation verification, the circuit structure between the electrical equipment is identified and built through the feed topological structure of the power distribution network, and a basic map is constructed;
collecting real-time data: geographical position data are collected through a positioning module (11) of a detector in intelligent positioning equipment of a distribution network, the real-time condition of a regional circuit is monitored through a fault monitoring module (9), and the corresponding geographical position data and the circuit condition are sorted and stored in a database (4);
and (3) building a real-time high-precision power grid map by combining a basic map: a distribution network management system (6) of a background data end in the intelligent distribution positioning equipment calls geographic positions and circuit condition information in a database (4), and a real-time high-precision power grid map is generated by combining a basic map;
And (3) data analysis: the big data storage and analysis module (5) of the background data end is used for storing and analyzing the information collected by the detector;
and (3) data output: and transmitting the power grid real-time map, the big data analysis result and the real-time fault information to the mobile terminal.
2. The high-precision map APP-based power supply service visualization method as recited in claim 1, wherein: and electrical equipment data required in the power distribution network topology knowledge graph construction and the user-to-user relationship checking come from a county company database.
3. The power supply service visualization method based on the high-precision map APP as claimed in claim 1, wherein: the distribution network feeder line topological structure identification identifies the connection relation between the electrical equipment through current matrix research and a topological matrix model.
4. The visualization method for the power supply service based on the high-precision map APP as claimed in any one of claims 1 to 3, wherein: the intelligent distribution network positioning equipment comprises a background data end and a detector, wherein the background data end is connected with the mobile equipment end through an information transmission module (1), and the detector is connected with the background data end through a signal transmitting module (7);
The background data end comprises an information transmission module (1), an alarm module (2), an MPU (microprocessor unit) (3), a database (4), a big data storage and analysis module (5) and a power distribution network management system (6), wherein the information transmission module (1), the alarm module (2), the database (4) and the power distribution network management system (6) are all connected with the MPU (3), and the big data storage and analysis module (5) and the power distribution network management system (6) are all connected with the database (4);
the detector comprises a signal transmitting module (7), a real-time monitoring system (8), a fault monitoring module (9), a power supply module (10) and a positioning module (11), wherein the signal transmitting module (7), the fault monitoring module (9), the power supply module (10) and the positioning module (11) are all connected with the real-time monitoring system (8), and the signal transmitting module (7) is connected with an information transmission module (1).
5. The power supply service visualization method based on the high-precision map APP as claimed in claim 4, wherein: the positioning module (11) is a positioning chip.
6. The high-precision map APP-based power supply service visualization method as recited in claim 4, wherein: the power distribution network management system (6) is a GIS-based power distribution network management system.
7. The method for visualizing the power supply service based on the high-precision map APP as claimed in claim 1, 5 or 6, characterized in that: and the power grid real-time map, the big data analysis result and the real-time fault information are transmitted to the APP of the mobile equipment end through the cloud platform.
CN202210269040.0A 2022-03-18 2022-03-18 APP power supply service visualization method based on high-precision map Pending CN114676347A (en)

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CN202210269040.0A CN114676347A (en) 2022-03-18 2022-03-18 APP power supply service visualization method based on high-precision map

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Application Number Priority Date Filing Date Title
CN202210269040.0A CN114676347A (en) 2022-03-18 2022-03-18 APP power supply service visualization method based on high-precision map

Publications (1)

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CN114676347A true CN114676347A (en) 2022-06-28

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