GIS-based multidisciplinary joint meter box monitoring method and system

Abstract

The invention discloses a GIS-based multidisciplinary joint meter box monitoring method and system, and the method comprises the following steps: converting the coordinate data of a meter box; superposing the converted coordinate data of the meter box with a GIS (Geographic Information System) map; box meter relation data are accessed to the GIS map; ammeter working condition data are accessed to the GIS map; carrying out box-meter relation judgment; electricity meter affiliation identification; accessing defect hidden danger data to the GIS map; and outputting and accessing a GIS map of various data so as to realize the panoramic monitoring of the meter box. According to the multidisciplinary combined meter box monitoring scheme based on the GIS, the geographic position of the meter box and the GIS map are highly fused, simulation monitoring of the meter box on the GIS map and the electric energy meter in the box is achieved, the running state of the meter box can be monitored, the assembling and disassembling condition and the running working condition of the electric energy meter in the box can be monitored, a new meter box monitoring mode is constructed, and the monitoring efficiency is improved. The legitimate rights and interests of customers are protected, and the economic benefits of power grid companies are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of meter box equipment operation, and in particular to a multidisciplinary joint meter box monitoring method and system based on GIS. Background Art

[0002] The primary function of an electric energy meter is to accurately measure the electric energy consumed in a circuit. The accuracy of its measurement directly affects the economic benefits of the power grid company and the legitimate rights and interests of customers. The meter box has the function of protecting the electric energy meter. Due to the material of the box and the installation location, some of them are exposed to the wind and sun for a long time, which may easily lead to safety hazards such as damage and aging. In addition, the meter box may have problems such as assets crossing the boundary, meter position errors, and missing asset information. Therefore, it poses a great challenge to the lean management of metering equipment, and it is urgent to introduce new technologies to conduct comprehensive monitoring of scattered meter boxes. Summary of the invention

[0003] The purpose of the present invention is to provide a multidisciplinary joint meter box monitoring method and system based on GIS, so as to monitor the hidden dangers of meter box defects and automatically identify the connection errors between the box and the meter.

[0004] To achieve the purpose of the present invention, the technical solution provided by the present invention is specifically as follows:

[0005] First aspect

[0006] This application provides a multidisciplinary joint meter box monitoring method based on GIS, including the following steps:

[0007] Step 1: Convert table box coordinate data;

[0008] Step 2: Overlay the converted table box coordinate data with the GIS map;

[0009] Step 3: Access the box-table relationship data on the GIS map;

[0010] Step 4: Access the meter operating data on the GIS map;

[0011] Step 5: Determine the relationship between the box and the table. If the relationship is correct, jump to step 6; if the relationship is wrong, jump to step 8.

[0012] Step 6: Identify the ownership of the electric meter. If the identification relationship is correct, jump to step 7; if the identification relationship is wrong, jump to step 8;

[0013] Step 7: Access defect and hidden danger data on the GIS map;

[0014] Step 8: Output the GIS map that accesses various data to achieve panoramic monitoring of the meter box.

[0015] Second aspect

[0016] The present application provides a multidisciplinary joint meter box monitoring system based on GIS, including the following units: a coordinate conversion unit, a coordinate superposition unit, a relational data access unit, a working condition data access unit, a box-meter relationship determination unit, an electric meter ownership identification unit, a defect hidden danger data access unit, and a GIS map output unit;

[0017] The coordinate conversion unit is used to convert the table box coordinate data;

[0018] The coordinate superposition unit is used to superimpose the converted table box coordinate data with the GIS map;

[0019] The relational data access unit is used to access the box-table relational data on the GIS map;

[0020] The operating condition data access unit is used to access the electric meter operating condition data on the GIS map;

[0021] The box-meter relationship determination unit is used to determine the box-meter relationship. If the determined relationship is correct, the meter ownership identification unit is executed; if the determined relationship is wrong, the GIS map output unit is executed;

[0022] The meter ownership identification unit is used for meter ownership identification. If the identification relationship is correct, the defect hidden danger data access unit is executed; if the identification relationship is wrong, the GIS map output unit is executed;

[0023] The execution defect hidden danger data access unit is used to access the defect hidden danger data on the GIS map;

[0024] The GIS map output unit is used to output a GIS map that accesses various data to achieve panoramic monitoring of the meter box.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The multidisciplinary joint meter box monitoring solution based on GIS proposed in this application highly integrates the geographical location of the meter box with the GIS map, and realizes the simulation monitoring of the meter box and the electric energy meter inside the box on the GIS map. It can monitor the operating status of the meter box, as well as the installation and disassembly of the electric meter inside the box, and the operating conditions, thus constructing a new mode of meter box monitoring, which not only protects the legitimate rights and interests of customers, but also improves the economic benefits of power grid companies.

[0027] In addition, this application not only combines high-frequency voltage, current and other curve data, but also introduces on-site data collection and recording from the marketing field operation platform, achieving a high degree of aggregation of multi-source data and effectively supporting the full life cycle management of meter boxes and meter assets.

[0028] In addition, the present invention adopts the Pearson correlation analysis model to automatically analyze the voltage of the electric energy meter under the same phase sequence in the same meter box at the same time, and effectively diagnose abnormal information such as meter asset out of bounds and meter position error, which not only improves the meter box management efficiency, but also saves manpower and material resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of the method flow provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] Example 1

[0032] like Figure 1 As shown, this embodiment provides a multidisciplinary joint meter box monitoring method based on GIS, including the following steps:

[0033] Step 1: Convert table box coordinate data;

[0034] Obtain the meter box coordinate data from the meter box filing results of the marketing field operation platform, perform coordinate system conversion, and convert it into the coordinate data format corresponding to the GIS map.

[0035] Step 2: Overlay the converted table box coordinate data with the GIS map;

[0036] The converted coordinate data of the meter box is loaded onto the GIS map, and the meter box location is marked in the form of meter box graphics, so as to realize the superposition of the meter box coordinates and the GIS map and establish the main map of the meter box monitoring scene.

[0037] Step 3: Access the box-table relationship data on the GIS map;

[0038] The box-meter relationship data maintained in the meter box filing results of the marketing field operation platform is accessed on the GIS map to realize simulation monitoring of the meter box on the map and the installation position of the electric energy meter inside the box.

[0039] Step 4: Access the meter operating data on the GIS map;

[0040] The step 4 specifically includes: accessing the multivariate data such as the power meter quantity, voltage, current, phase, etc. of the collection system on the GIS map to realize real-time monitoring on the metering equipment operation status diagram.

[0041] Step 5: Determine the relationship between the box and the table. If the relationship is correct, jump to step 6; if the relationship is wrong, jump to step 8.

[0042] In step 5, Pearson correlation analysis is used to determine the relationship between the box and the table.

[0043] The Pearson correlation coefficient can well characterize the correlation between two variables, and will not change with the position and scale of the variables. According to the basic principle of circuit, the voltage on the same conductor is equal everywhere, and the voltage of the electric energy meter in the same phase sequence in the same meter box should also be equal at all times. This paper uses the Pearson correlation coefficient to determine the box-meter relationship, and the calculation formula is as follows:

[0044]

[0045] Among them, X, Y are the total meter voltage of the meter box and the voltage of the single-household meter in the box, cov(X, Y) is the covariance, and r represents the Pearson correlation coefficient between the user meter in the meter box and the total meter voltage of the meter box, with a maximum value of 1. If r = 1, it means that the two variables are completely correlated, which means that the box-meter relationship is correct; if r = 0, it means that there is zero correlation between the variables, which means that the meter position in the meter box is wrong, and there may be asset crossing.

[0046] Step 6: Identify the ownership of the electric meter. If the identification relationship is correct, jump to step 7; if the identification relationship is wrong, jump to step 8;

[0047] Based on the law of conservation of energy, a meter box energy error model is constructed to calculate the current and power error values ​​of each meter box. Combined with the judgment result of step 5, abnormal information such as asset out-of-bounds assets, meter position errors, high losses, negative losses, etc. is identified.

[0048] The specific method is as follows:

[0049] Using the instantaneous freezing function of the acquisition system, the total meter current or power I of the same meter box and the same phase sequence is obtained. x , the current or power I of the electric meter in the box at the same time xi (i=1,2,3,…,n), calculated using the following formula:

[0050] w=I x -(I x1 +I x2 +I x3 +.....+I xn )

[0051] If w=0 or close to 0, it means that the relationship between the box and the meter is correct and the line loss is reasonable. Otherwise, it means that the meter position in the meter box may be wrong or the line loss is abnormal.

[0052] Step 7: Access defect and hidden danger data on the GIS map;

[0053] Access the meter box defect and hidden danger data of the marketing field operation platform on the GIS map to realize on-map monitoring of meter box hidden danger problems.

[0054] Step 8: Output the GIS map that accesses various data to achieve panoramic monitoring of the meter box.

[0055] Convert the results of step 6 and step 7 into abnormal and alarm graphics, merge them with the results of step 2, and overlay them on the GIS map to integrate basic map positioning and navigation capabilities to achieve panoramic monitoring of meter boxes.

[0056] It should be noted that the above steps and methods break the information barriers of the power grid, realize simulation monitoring of meter boxes and electricity meters inside the boxes through GIS maps, automatically identify abnormal meter boxes such as assets that cross the boundary, meter position errors, and high losses, thereby realizing a multidisciplinary joint meter box monitoring method based on GIS and effectively improving the level of lean management of meter boxes.

[0057] According to the above steps, firstly, according to the GIS map coordinate data format requirements, the coordinate system of the connected meter box coordinates is converted, the meter box is superimposed on the map, and the main map of the meter box monitoring scene is established. Then, the box-meter relationship data in the meter box archiving results is connected to the GIS map box position, and the simulation monitoring of the meter box and the electric energy meter installation position in the box is established. A Pearson correlation analysis model is established to analyze and judge the voltage data of the connected meter box total meter and the electric energy meter in the box, identify the box meter that may have asset crossing the boundary and meter position error, and issue an early warning on the GIS primitive. A meter box energy error model is constructed to analyze and judge the current and power data of the connected meter box total meter and the electric energy meter in the box, identify abnormal meter boxes such as asset crossing the boundary, meter position error, high loss, negative loss, etc., and issue an early warning on the GIS primitive. Overlay the defect hidden danger information collected at the marketing operation site, and overlay all early warning information on the GIS meter box primitive, so as to realize panoramic monitoring of the meter box and problem location.

[0058] The above operations are based on the actual on-site operation of the meter box data, combined with the basic principles of the circuit to automatically analyze the high-frequency operating data, break the information gap through the GIS map, and realize all-round monitoring of the meter box operation.

[0059] Example 2

[0060] This embodiment provides a multidisciplinary joint meter box monitoring system based on GIS, including the following units: a coordinate conversion unit, a coordinate superposition unit, a relationship data access unit, a working condition data access unit, a box-meter relationship determination unit, an electric meter ownership identification unit, a defect hidden danger data access unit, and a GIS map output unit;

[0061] The coordinate conversion unit is used to convert the table box coordinate data;

[0062] The coordinate superposition unit is used to superimpose the converted table box coordinate data with the GIS map;

[0063] The relational data access unit is used to access the box-table relational data on the GIS map;

[0064] The operating condition data access unit is used to access the electric meter operating condition data on the GIS map;

[0065] The box-meter relationship determination unit is used to determine the box-meter relationship. If the determined relationship is correct, the meter ownership identification unit is executed; if the determined relationship is wrong, the GIS map output unit is executed;

[0066] The meter ownership identification unit is used for meter ownership identification. If the identification relationship is correct, the defect hidden danger data access unit is executed; if the identification relationship is wrong, the GIS map output unit is executed;

[0067] The execution defect hidden danger data access unit is used to access the defect hidden danger data on the GIS map;

[0068] The GIS map output unit is used to output a GIS map that accesses various data to achieve panoramic monitoring of the meter box.

[0069] The coordinate conversion unit is specifically used to: obtain the meter box coordinate data in the meter box file creation results of the marketing field operation platform, perform coordinate system conversion, and convert it into the coordinate data format corresponding to the GIS map;

[0070] The coordinate superposition unit is specifically used to load the coordinate data after the meter box conversion on the GIS map, mark the meter box position in the form of meter box graphic elements, thereby realizing the superposition of the meter box coordinates and the GIS map, and establishing the main map of the meter box monitoring scene;

[0071] The relational data access unit is specifically used to access the box-meter relational data maintained in the meter box archiving results of the marketing field operation platform on the GIS map, so as to realize the simulation monitoring of the meter box on the map and the installation position of the electric energy meter in the box;

[0072] The working condition data access unit is specifically used to access the multivariate data of the electric energy meter of the collection system, such as the quantity, voltage, current and phase, on the GIS map to realize real-time monitoring on the operating status diagram of the metering equipment;

[0073] The box-table relationship determination unit uses Pearson correlation analysis to perform box-table relationship determination;

[0074] The electric meter attribution identification unit is specifically used to: construct a meter box energy error model based on the law of conservation of energy, calculate the current and power error values ​​of each meter box, and identify abnormal information; the specific method is as follows:

[0075] Using the instantaneous freezing function of the acquisition system, the total meter current or power I of the same meter box and the same phase sequence is obtained. x, the current or power I of the electric meter in the box at the same time xi (i=1,2,3,…,n), calculated using the following formula:

[0076] w=I x -(I x1 +I x2 +I x3 +.....+I xn )

[0077] If w=0 or close to 0, it means that the relationship between the box and the meter is correct and the line loss is reasonable. Otherwise, it means that the meter position in the meter box may be wrong or the line loss is abnormal.

[0078] The execution defect hidden danger data access unit is specifically used to access the meter box defect hidden danger data of the marketing field operation platform on the GIS map to realize the on-map monitoring of the meter box hidden danger problems.

[0079] The present invention discloses a multidisciplinary joint meter box monitoring method based on GIS, which relates to the technical field of meter box (hereinafter referred to as "meter box") equipment operation. The meter box is used as a GIS map primitive element, and high-frequency collected data and on-site data collected by a marketing field operation platform are superimposed on the GIS meter box primitive position. Simulation monitoring and analysis standards for the meter box and the electric energy meter in the box are established, and abnormal meter boxes such as asset crossing the boundary, meter position error, and sub-box line loss are automatically identified. Early warning prompts are given on the map, thereby realizing multidisciplinary joint meter box monitoring based on GIS.

[0080] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

Claims

1. A multidisciplinary joint meter box monitoring method based on GIS, characterized in that: The steps include: Step 1: Convert table box coordinate data; Step 2: Overlay the converted table box coordinate data with the GIS map; Step 3: Access the box-table relationship data on the GIS map; Step 4: Access the meter operating data on the GIS map; Step 5: Determine the relationship between the box and the table. If the relationship is correct, jump to step 6. If the relationship is determined to be wrong, jump to step 8; Step 6: Identify the ownership of the electric meter. If the identification relationship is correct, jump to step 7; if the identification relationship is wrong, jump to step 8; Step 7: Access defect and hidden danger data on the GIS map; Step 8: Output the GIS map that accesses various data to achieve panoramic monitoring of the meter box.

2. According to the GIS-based multidisciplinary joint meter box monitoring method of claim 1, it is characterized in that: The step 1 specifically includes: obtaining meter box coordinate data from the meter box filing results of the marketing field operation platform, performing coordinate system conversion, and converting it into a coordinate data format corresponding to the GIS map.

3. The multidisciplinary joint meter box monitoring method based on GIS according to claim 1 is characterized in that: The step 2 specifically includes: loading the coordinate data of the meter box conversion on the GIS map, marking the meter box position in the form of meter box graphics, thereby realizing the superposition of the meter box coordinates and the GIS map, and establishing the main map of the meter box monitoring scene.

4. The multidisciplinary joint meter box monitoring method based on GIS according to claim 1 is characterized in that: The step 3 specifically includes: accessing the box-meter relationship data maintained in the meter box archiving results of the marketing field operation platform on the GIS map to realize simulation monitoring of the meter box on the map and the installation position of the electric energy meter in the box.

5. The multidisciplinary joint meter box monitoring method based on GIS according to claim 1 is characterized in that: The step 4 specifically includes: accessing the multivariate data of the electric energy meter of the collection system, such as electricity quantity, voltage, current, and phase, on the GIS map to realize real-time monitoring on the operation status diagram of the metering equipment.

6. The multidisciplinary joint meter box monitoring method based on GIS according to claim 1 is characterized in that: In step 5, Pearson correlation analysis is used to determine the relationship between the box and the table.

7. The multidisciplinary joint meter box monitoring method based on GIS according to claim 1 is characterized in that: The step 6 specifically includes: constructing a meter box energy error model based on the law of conservation of energy, calculating the current and power error values ​​of each meter box, and identifying abnormal information; the specific method is as follows: Using the instantaneous freezing function of the acquisition system, the total meter current or power I of the same meter box and the same phase sequence is obtained. x , the current or power I of the electric meter in the box at the same time xi (i=1,2,3,…,n), calculated using the following formula: w=I x -(I x1 +I x2 +I x3 +.....+I xn ) If w=0 or close to 0, it means that the relationship between the box and the meter is correct and the line loss is reasonable. Otherwise, it means that the meter position in the meter box may be wrong or the line loss is abnormal.

8. The multidisciplinary joint meter box monitoring method based on GIS according to claim 1 is characterized in that: The step 7 specifically includes: accessing the meter box defect hidden danger data of the marketing field operation platform on the GIS map to realize on-map monitoring of meter box hidden danger problems.

9. A multidisciplinary joint meter box monitoring system based on GIS, characterized in that: It includes the following units: coordinate conversion unit, coordinate superposition unit, relational data access unit, working condition data access unit, box-meter relation determination unit, meter ownership identification unit, defect and hidden danger data access unit and GIS map output unit; The coordinate conversion unit is used to convert the table box coordinate data; The coordinate superposition unit is used to superimpose the converted table box coordinate data with the GIS map; The relational data access unit is used to access the box-table relational data on the GIS map; The operating condition data access unit is used to access the electric meter operating condition data on the GIS map; The box-meter relationship determination unit is used to determine the box-meter relationship, and if the determined relationship is correct, execute the meter ownership identification unit; If the relationship is determined to be wrong, the GIS map output unit is executed; The electric meter ownership identification unit is used to identify the ownership of the electric meter. If the identification relationship is correct, the defect hidden danger data access unit is executed; If the identification relationship is wrong, the GIS map output unit is executed; The execution defect hidden danger data access unit is used to access the defect hidden danger data on the GIS map; The GIS map output unit is used to output a GIS map that accesses various data to achieve panoramic monitoring of the meter box.

10. The multidisciplinary joint meter box monitoring system based on GIS according to claim 9 is characterized in that: The coordinate conversion unit is specifically used to: obtain the meter box coordinate data in the meter box file creation results of the marketing field operation platform, perform coordinate system conversion, and convert it into the coordinate data format corresponding to the GIS map; The coordinate superposition unit is specifically used to load the coordinate data after the meter box conversion on the GIS map, mark the meter box position in the form of meter box graphic elements, thereby realizing the superposition of the meter box coordinates and the GIS map, and establishing the main map of the meter box monitoring scene; The relational data access unit is specifically used to access the box-meter relational data maintained in the meter box archiving results of the marketing field operation platform on the GIS map, so as to realize the simulation monitoring of the meter box on the map and the installation position of the electric energy meter in the box; The working condition data access unit is specifically used to access the multivariate data of the electric energy meter of the collection system, such as the quantity, voltage, current and phase, on the GIS map to realize real-time monitoring on the operating status diagram of the metering equipment; The box-table relationship determination unit uses Pearson correlation analysis to perform box-table relationship determination; The electric meter attribution identification unit is specifically used to: construct a meter box energy error model based on the law of conservation of energy, calculate the current and power error values ​​of each meter box, and identify abnormal information; the specific method is as follows: Using the instantaneous freezing function of the acquisition system, the total meter current or power I of the same meter box and the same phase sequence is obtained. x , the current or power I of the electric meter in the box at the same time xi (i=1,2,3,…,n), calculated using the following formula: w=I x -(I x1 +I x2 +I x3 +.....+I xn ) If w=0 or close to 0, it means that the relationship between the box and the meter is correct and the line loss is reasonable. Otherwise, it means that the meter position in the meter box may be wrong or the line loss is abnormal. The execution defect hidden danger data access unit is specifically used to access the meter box defect hidden danger data of the marketing field operation platform on the GIS map to realize the on-map monitoring of the meter box hidden danger problems.

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