Methods, apparatus, equipment, and media for analyzing meter errors in transformer substations based on "3D graphs"

Abstract

This invention discloses a method, apparatus, computer equipment, and storage medium for analyzing meter errors in a distribution area based on a "3D graph." The method includes: dividing the meters in the distribution area into zones, further dividing the meters in each zone into points; establishing a 3D graph and a line graph based on the electrical energy input from the zone level to each point in each time period and the comparison data with the maximum and minimum measured electrical energy values ​​of each meter; identifying points that exceed the overall meter measurement replacement threshold, then identifying the installation time of the meter with the most errors at each point, and uploading the corresponding meter information to the distribution area; the distribution area extracts and calculates the electricity consumption of the meters based on the meter information at each point, and infers the error values ​​from the 3D graph and line graph data; if the meter error exceeds the overall meter measurement replacement threshold, the corresponding meter at each zone level is replaced. The method provided by this invention allows for timely understanding and processing of meter conditions.

Description

Technical Field

[0001] This invention relates to the field of electricity meter technology, and in particular to a method, apparatus, computer equipment, and storage medium for analyzing the error of electricity meters in a distribution area based on a "three-dimensional graph". Background Technology

[0002] Guangzhou has approximately 50,000 transformer substations and over 6 million low-voltage users. Each substation includes 100 to 300 low-voltage users. As the lifespan of the electricity meters increases, their accuracy decreases and the errors become larger. Currently, the error status of the electricity meters in each substation cannot be monitored.

[0003] To understand the distribution and trend of meter errors in the distribution area, to know the details of meters with excessive errors, and to accurately locate them, it is necessary to have an intuitive and accurate display of the overall meter error situation in the distribution area to guide the work of maintenance personnel.

[0004] Current methods for obtaining meter error data include random sampling and on-site testing. Random sampling involves removing meters from the site and testing them on a testing platform. Meters that pass the test continue to be used; otherwise, they are scrapped. The results are imported into the marketing system, and other systems, such as the production scheduling platform, obtain the data through an interface. On-site testing involves maintenance personnel bringing instruments to the site to conduct tests and save the results. The display of meter errors in distribution areas is mainly done through queries and statistics, and the displayed data only represents the results of random sampling and individual on-site tests. Random sampling requires maintenance personnel to remove, test, and reinstall meters on-site, consuming significant manpower, resulting in high costs and low efficiency. On-site testing requires maintenance personnel to conduct actual measurements on-site, and full inspection is impractical due to the large workload, while also requiring highly skilled maintenance personnel. With over 6 million low-voltage meters in the city, the random sampling rate is very small, resulting in unrepresentative test results with limited reference value for subsequent decision-making. Meter installation and removal during testing disrupt users' electricity supply, and on-site testing is generally for post-fault problem handling, impacting customer satisfaction. Summary of the Invention

[0005] To address the shortcomings of the existing technology, this invention provides a method, apparatus, computer equipment, and storage medium for analyzing meter errors in a distribution area based on a "three-dimensional graph." This method allows central control personnel in the distribution area to understand the status of the meters through three-dimensional graphs and line graphs formed from the energy data fed back by each meter. Based on the status of the meters, faulty meters can be replaced in a timely manner, eliminating the hassle of manually inspecting each meter and improving work efficiency.

[0006] The first objective of this invention is to provide a method.

[0007] The second objective of this invention is to provide a device for analyzing the error of electricity meters in a distribution area based on a "three-dimensional graph".

[0008] A third objective of this invention is to provide a computer device.

[0009] A fourth objective of this invention is to provide a storage medium.

[0010] The first objective of this invention can be achieved by adopting the following technical solution:

[0011] A method for analyzing meter errors in a distribution area based on a "3D graph", the method comprising:

[0012] Divide the electricity meters in the distribution area into zones, and then divide the electricity meters in the zones into points;

[0013] By integrating and statistically analyzing the electricity consumption of the same point in different time periods, a three-dimensional graph and a line graph are created based on the electrical energy at each point in different time periods and the electrical energy input from the district level to each point.

[0014] The maximum and minimum values ​​of electrical energy measured by each meter at the statistical point are compared with the electrical energy input at the district level to the point, and a three-dimensional graph and a line graph are created based on the comparison data.

[0015] Set the overall measurement and replacement threshold for the electricity meter based on the maximum consumption value during the power transmission process;

[0016] Find the points that exceed the overall measurement and replacement threshold of the electricity meters, then find the installation time of the electricity meters with the most errors among the points, and upload the information of the electricity meters with the most errors to the distribution area;

[0017] Based on the electricity meter information received by the distribution area, the electricity consumption of the meters is extracted and calculated. The error values ​​of the data in the 3D graph and line graph are used to make inferences. If the error of the electricity meter exceeds the overall measurement replacement threshold, the corresponding electricity meter at each district level will be replaced.

[0018] Furthermore, the step of dividing the electricity meters in the distribution area into zones, and then further dividing the electricity meters in each zone into points, specifically involves:

[0019] All electricity meters in the distribution area are divided into districts according to their installation and registration locations, and the electricity meters in each district are further divided into points according to the time of installation.

[0020] Furthermore, the integrated statistical analysis of electricity consumption at the same point in each time period, and the creation of three-dimensional and line graphs based on the electricity consumption, energy, and energy input from the district level to each point in each time period, specifically includes:

[0021] The electrical energy at each point in each time period is statistically analyzed, and then compared with the electrical energy input to each point at the district level. A three-dimensional map is then created based on the comparison data.

[0022] The electricity consumption of the meters at each point is read and recorded, and the electricity consumption of the meters at the same point is integrated and statistically analyzed.

[0023] Create a line graph by comparing the data at different points in different time periods, the electricity consumption of the meter, and the input electricity data.

[0024] Furthermore, the maximum and minimum electrical energy values ​​measured by each meter at the statistical points are compared with the electrical energy input at the district level to the points, and a three-dimensional graph and a line graph are created based on the comparison data, specifically including:

[0025] Based on the error information of the electricity meter itself in measuring electricity energy, the maximum and minimum values ​​of the measured electricity energy of each meter in the statistical points are calculated, and the calculated maximum and minimum values ​​are compared with the electricity energy input to the points at the district level. Based on the comparison data, a three-dimensional graph and a line graph are created.

[0026] Furthermore, setting the overall meter replacement threshold based on the maximum energy consumption during power transmission specifically includes:

[0027] Based on the maximum consumption value during the power transmission process, a threshold for replacing the overall power meter measurement is set. The power input to the point is reduced by the power transmission consumption, and then compared with the power consumption statistics of the point. The comparison value is compared with the threshold for replacing the overall power meter measurement. Based on the comparison, the overall power measurement error of the point is judged, and the error data is imported into a 3D graph.

[0028] Furthermore, the process of identifying points exceeding the overall meter measurement replacement threshold, then identifying the installation time of the meter with the most errors among these points, and uploading the information of the meter with the most errors to the distribution area specifically includes:

[0029] Identify the points that exceed the overall measurement replacement threshold of the electricity meter, find the installation time of the electricity meter in the points that exceed the overall measurement replacement threshold, and statistically analyze the installation time of the electricity meter.

[0030] The statistical data on electricity meter installation times is analyzed to identify the installation time of the meter with the most errors among the points where the overall measurement and replacement threshold for electricity meters is exceeded. The meter information of the point with the most errors is then uploaded to the distribution area.

[0031] Furthermore, based on the meter information received from the distribution area, the electricity consumption of the meters is extracted and calculated, and the error values ​​of the 3D and line graph data are used to make inferences. If the meter error exceeds the overall meter measurement replacement threshold, the corresponding meters at each district level will be replaced. Specifically, this includes:

[0032] After receiving the meter information from the receiving points, the distribution area sends the data collection information to each district level.

[0033] The district-level data collection system identifies the electricity meters with the longest installation times that show the most errors. This data is then used to extract and calculate the electricity consumption of the meters, and to make inferences based on the error values ​​in the 3D and line graph data.

[0034] It is speculated whether the meter's error exceeds the threshold for replacing the entire meter.

[0035] If the overall measurement and replacement threshold for electricity meters is exceeded, the distribution area sends an instruction to each district level to replace the electricity meters at the points with the largest installation time errors, and each district level then replaces the electricity meters.

[0036] The second objective of this invention can be achieved by adopting the following technical solution:

[0037] A device for analyzing the error of electricity meters in a distribution area based on a "three-dimensional graph", the device comprising:

[0038] The partitioning module is used to divide the electricity meters in the distribution area into zones, and then further divide the electricity meters in the zones into points.

[0039] The statistics module is used to integrate and statistically analyze the electricity consumption of the same point in different time periods, and to create 3D graphs and line graphs based on the electricity energy at each point in different time periods and the electricity energy input from the district level to each point.

[0040] The comparison module is used to count the maximum and minimum values ​​of electrical energy measured by each meter at the point, compare the maximum and minimum values ​​with the electrical energy input to the point at the district level, and create a 3D graph and a line graph based on the comparison data.

[0041] The setting module is used to set the overall measurement replacement threshold of the electricity meter based on the maximum consumption value during the power transmission process;

[0042] The search module is used to find points that exceed the overall measurement replacement threshold of the electricity meter, and then find the installation time of the electricity meter with the most errors among the points, and upload the information of the electricity meter with the most errors to the distribution area.

[0043] The replacement module is used to extract and calculate the electricity consumption of the meters based on the meter information received from the points in the distribution area, and to make inferences based on the error values ​​of the 3D graph and line graph data. If the meter error exceeds the overall meter measurement replacement threshold, the corresponding meter at each district level will be replaced.

[0044] The third objective of this invention can be achieved by adopting the following technical solution:

[0045] A computer device includes a processor and a memory for storing a processor-executable program, wherein the processor implements the method described above when executing the program stored in the memory.

[0046] The fourth objective of this invention can be achieved by adopting the following technical solution:

[0047] A storage medium storing a program that, when executed by a processor, implements the above-described method.

[0048] The present invention has the following advantages over the prior art:

[0049] 1. This invention divides the electricity meters in a distribution area into different zones, thereby reducing the impact of local meter measurements on the overall electricity measurement of the entire distribution area.

[0050] 2. This invention distinguishes between points of electricity installed at different times within a district, comparing the input electricity consumption at each point with the data measured by each meter. The difference between the meter readings and the point readings is obtained. Based on a line graph composed of the differences over multiple time periods and a set overall meter replacement threshold, the invention determines and predicts whether the meter measurement error exceeds the threshold. The installation time information of the meter with the most points exceeding the overall replacement threshold is transmitted to the distribution area. Within each distribution area, the electricity consumption of the meter with the most points exceeding the overall replacement threshold and the same installation time is extracted and calculated. This helps predict whether the meter error will exceed the overall replacement threshold, identifying meters that may experience measurement failures later and preventing similar meter failures from recurring after a single meter replacement.

[0051] 3. In this invention, the central distribution area sends instructions to each district level to replace the electricity meters at the points with the most installation time errors, and each district level then replaces the electricity meters at the points that need replacement, eliminating the need for manual inspection of each electricity meter. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0053] Figure 1 This is a flowchart of the method for analyzing the error of electricity meters in a distribution area based on a "three-dimensional graph" according to Embodiment 1 of the present invention.

[0054] Figure 2 This is a three-dimensional diagram of the meter error at various points in different time periods according to Embodiment 1 of the present invention.

[0055] Figure 3This is a structural block diagram of the device for analyzing the error of electricity meters in a distribution area based on a "three-dimensional graph" according to Embodiment 2 of the present invention.

[0056] Figure 4 This is a structural block diagram of the computer device according to Embodiment 3 of the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. It should be understood that the specific embodiments described are merely used to explain this application and are not intended to limit this application.

[0058] Example 1:

[0059] like Figure 1 As shown, this embodiment provides a method for analyzing the error of electricity meters in a distribution area based on a "3D graph", specifically including:

[0060] S101. Divide the electricity meters in the distribution area into zones, and then divide the electricity meters in the zones into points.

[0061] Divide the electricity meters in the transformer area into zones, and then divide the electricity meters in the zones into points, so that the meter number includes the number, point, and zone.

[0062] The location of electricity meters in the transformer area information is obtained through the interface of the power energy platform. All electricity meters in the transformer area are divided into districts according to their installation and registration locations. The electricity meters in each district are then divided into points according to their installation time, so that there are multiple electricity meters in each point. The electricity meters in each point and the districts in the transformer area are labeled, so that each electricity meter label forms an arrangement of meter number-point label-district label.

[0063] S102. Integrate and statistically analyze the electricity consumption of the same point in each time period, and establish a three-dimensional graph and a line graph based on the electricity energy at each point in each time period and the electricity energy input from the district level to each point.

[0064] The system records the electrical energy input from the distribution area to various district levels and from various district levels to individual points. Simultaneously, it reads and records the electricity consumption of meters at each point, and aggregates the electricity consumption of meters at the same point. It compares the electrical energy of each point in each statistical time period with the electrical energy input from the district level to each point, aggregates the electricity consumption of meters at the same point in each time period, and constructs a three-dimensional graph based on the comparison data. It also represents the comparison data, statistical electricity consumption, and input electricity consumption data for each time period using line graphs, such as... Figure 2 As shown.

[0065] In this embodiment, the difference between the electricity used by each point and the electricity transmitted from the district level to the point in each time period is statistically analyzed, and the difference is plotted into a three-dimensional graph. At the same time, the actual electricity used by the point, the electricity transmitted from the district level to the point, and the comparison difference in each time period are displayed as a line graph.

[0066] S103. Calculate the maximum and minimum values ​​of electrical energy measured by each meter at the statistical point, compare the maximum and minimum values ​​with the electrical energy input to the point at the district level, and create a three-dimensional graph and a line graph based on the comparison data.

[0067] Find the installation records of the electricity meters and the measurement error information of the meters themselves. Based on the error information of the electricity meters themselves, calculate and statistically analyze the maximum and minimum values ​​of the measured electricity energy of each meter at the point. Compare the calculated maximum and minimum values ​​with the electricity energy input at the district level at the point, and display the comparison data in a 3D graph and a line graph.

[0068] S104. Set the overall measurement replacement threshold for the electricity meter based on the maximum consumption value during the power transmission process.

[0069] Based on the maximum consumption value during the power transmission process, a threshold for overall meter measurement replacement is set. The power input to the point is reduced by the power transmission consumption, and then compared with the power consumption statistics of the point. The comparison value is compared with the set threshold for overall meter measurement replacement. Based on the comparison, the overall power measurement error of the point is determined. At the same time, the error data is imported into the 3D graph, and the power measurement situation of later points is inferred based on the error data changes of the same point.

[0070] S105. Identify the points that exceed the overall measurement and replacement threshold for electricity meters, then identify the installation time of the electricity meter with the most errors among these points, and upload the information of the electricity meter with the most errors to the distribution area.

[0071] Identify all points that exceed the overall meter measurement and replacement threshold, find the meter installation time at these points, statistically analyze the installation times, determine the meter installation time with the most error among the points exceeding the overall meter measurement and replacement threshold, and upload the meter information of the point with the most error to the distribution area.

[0072] If the difference between the actual amount of electricity received by the meter at the point of operation and the amount of electricity transmitted from the district level to the point of operation exceeds the set electricity error range, it is considered to exceed the overall measurement replacement threshold of the meter. The method for distinguishing this is by comparing the data.

[0073] S106. Based on the meter information received from the distribution area, the electricity consumption of the meters is extracted and calculated. The error values ​​of the three-dimensional graph and line graph data are used to make inferences. If the meter error exceeds the overall meter measurement replacement threshold, the corresponding meter at each district level will be replaced.

[0074] After receiving meter information from the point with the longest installation time error, the distribution area sends a request to each district level to collect information on the meters with the longest installation time error. Each district level collects information on the meters with the longest installation time error from each point within its collection range, extracts and calculates the electricity consumption of these meters, and uses error values ​​from 3D and line graphs to infer whether the meter error will exceed the overall meter measurement and replacement threshold. If it does, the distribution area sends an instruction to each district level to replace the meters at the points with the longest installation time error, and each district level then replaces the meters at the points requiring replacement.

[0075] The distribution area receives data on the measurement and use of electrical energy from various districts and displays the electricity usage data of each point in each district through 3D graphs and line graphs.

[0076] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware, and the corresponding program can be stored in a computer-readable storage medium.

[0077] It should be noted that although the method operations of the above embodiments are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. On the contrary, the order of execution of the described steps may be changed. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0078] Example 2:

[0079] like Figure 3 As shown, this embodiment provides a device for analyzing meter errors in a distribution area based on a "3D graph". The device includes a division module 301, a statistics module 302, a comparison module 303, a setting module 304, a search module 305, and a replacement module 306, wherein:

[0080] The partitioning module 301 is used to partition the electricity meters in the distribution area into zones and further partition the electricity meters in the zones into points.

[0081] The statistics module 302 is used to integrate and statistically analyze the electricity consumption of the same point in different time periods, and to create a three-dimensional graph and a line graph based on the electricity energy at each point in different time periods and the electricity energy input from the district level to each point.

[0082] The comparison module 303 is used to count the maximum and minimum values ​​of electrical energy measured by each meter at the point, compare the maximum and minimum values ​​with the electrical energy input to the point at the district level, and create a three-dimensional graph and a line graph based on the comparison data.

[0083] Setting module 304 is used to set the overall measurement replacement threshold of the electricity meter based on the maximum consumption value during the power transmission process.

[0084] The locator module 305 is used to find points that exceed the overall measurement replacement threshold of the electricity meter, and then find the installation time of the electricity meter with the most errors among the points, and upload the information of the electricity meter with the most errors to the distribution area.

[0085] The replacement module 306 is used to extract and calculate the electricity consumption of the meters based on the meter information received from the points in the distribution area, and to make inferences based on the error values ​​of the 3D graph and line graph data. If the meter error exceeds the overall meter measurement replacement threshold, the corresponding meter at each district level will be replaced.

[0086] The specific implementation of each module in this embodiment can be found in Embodiment 1 above, and will not be repeated here. It should be noted that the device provided in this embodiment is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure can be divided into different functional modules to complete all or part of the functions described above.

[0087] Example 3:

[0088] This embodiment provides a computer device, which can be a computer, such as... Figure 4As shown, the processor 402, memory, input device 403, display 404, and network interface 405 are connected via system bus 401. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium 406 and internal memory 407. The non-volatile storage medium 406 stores the operating system, computer programs, and database. The internal memory 407 provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. When the processor 402 executes the computer program stored in the memory, it implements the method of Embodiment 1 described above, as follows:

[0089] Divide the electricity meters in the distribution area into zones, and then divide the electricity meters in the zones into points;

[0090] By integrating and statistically analyzing the electricity consumption of the same point in different time periods, a three-dimensional graph and a line graph are created based on the electrical energy at each point in different time periods and the electrical energy input from the district level to each point.

[0091] The maximum and minimum values ​​of electrical energy measured by each meter at the statistical point are compared with the electrical energy input at the district level to the point, and a three-dimensional graph and a line graph are created based on the comparison data.

[0092] Set the overall measurement and replacement threshold for the electricity meter based on the maximum consumption value during the power transmission process;

[0093] Find the points that exceed the overall measurement and replacement threshold of the electricity meters, then find the installation time of the electricity meters with the most errors among the points, and upload the information of the electricity meters with the most errors to the distribution area;

[0094] Based on the electricity meter information received by the distribution area, the electricity consumption of the meters is extracted and calculated. The error values ​​of the data in the 3D graph and line graph are used to make inferences. If the error of the electricity meter exceeds the overall measurement replacement threshold, the corresponding electricity meter at each district level will be replaced.

[0095] Example 4:

[0096] This embodiment provides a storage medium, which is a computer-readable storage medium, storing a computer program. When the computer program is executed by a processor, it implements the method of Embodiment 1 above, as follows:

[0097] Divide the electricity meters in the distribution area into zones, and then divide the electricity meters in the zones into points;

[0098] By integrating and statistically analyzing the electricity consumption of the same point in different time periods, a three-dimensional graph and a line graph are created based on the electrical energy at each point in different time periods and the electrical energy input from the district level to each point.

[0099] The maximum and minimum values ​​of electrical energy measured by each meter at the statistical point are compared with the electrical energy input at the district level to the point, and a three-dimensional graph and a line graph are created based on the comparison data.

[0100] Set the overall measurement and replacement threshold for the electricity meter based on the maximum consumption value during the power transmission process;

[0101] Find the points that exceed the overall measurement and replacement threshold of the electricity meters, then find the installation time of the electricity meters with the most errors among the points, and upload the information of the electricity meters with the most errors to the distribution area;

[0102] Based on the electricity meter information received by the distribution area, the electricity consumption of the meters is extracted and calculated. The error values ​​of the data in the 3D graph and line graph are used to make inferences. If the error of the electricity meter exceeds the overall measurement replacement threshold, the corresponding electricity meter at each district level will be replaced.

[0103] It should be noted that the computer-readable storage medium in this embodiment can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0104] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, shall fall within the scope of protection of the present invention.

Claims

1. A method for analyzing errors of electric meters in a transformer area based on a "three-dimensional graph", characterized in that, The method comprises: The electric meter in the transformer area is divided into a zone level, and the electric meter in the zone level is divided into points; The electric energy of the electric meter in the same point in each time period is integrated and counted, and a three-dimensional graph and a line graph are established according to the electric energy of the electric meter in each point in each time period and the electric energy input to each point in the zone level; The maximum value of the electric energy measured by each electric meter in the point is counted, the maximum value is compared with the electric energy input to the point in the zone level, and a three-dimensional graph and a line graph are established according to the compared data; According to the maximum consumption value in the electric energy transmission process, the overall measurement replacement threshold of the electric meter is set; The point exceeding the overall measurement replacement threshold of the electric meter is found out, and then the installation time of the electric meter with the most errors in the point is found out, and the information of the electric meter with the most errors in the installation time is uploaded to the transformer area; According to the electric meter information of the point received by the transformer area, the electric energy of the electric meter is extracted and calculated, and the error value of the three-dimensional graph and the line graph data is inferred, if the error of the electric meter exceeds the overall measurement replacement threshold of the electric meter, the corresponding electric meter in each zone level is replaced; the error value is the difference between the electric energy of the electric meter in each point counted in the three-dimensional graph and the line graph and the electric energy input to each point in the zone level.

2. The method of claim 1, wherein, The electric meter in the transformer area is divided into a zone level, and the electric meter in the zone level is divided into points, specifically: All electric meters in the transformer area are divided into a zone level according to the installation location of the electric meter registration, and the electric meters in the zone level are divided into points according to the installation time of the electric meter.

3. The method of claim 1, wherein, The electric energy of the electric meter in the same point in each time period is integrated and counted, and a three-dimensional graph and a line graph are established according to the electric energy of the electric meter in each point in each time period and the electric energy input to each point in the zone level, specifically including: The electric energy of the electric meter in each point in each time period and the electric energy input to each point in the zone level is compared, and a three-dimensional graph is established according to the compared data; The comparison data, the electric energy of the electric meter and the input electric energy data of each point in each time period are established into a line graph.

4. The method of claim 1, wherein, The maximum value of the electric energy measured by each electric meter in the point is counted, the maximum value is compared with the electric energy input to the point in the zone level, and a three-dimensional graph and a line graph are established according to the compared data, specifically including: According to the error information of the electric meter itself in measuring electric energy, the maximum value of the electric energy measured by each electric meter in the point is calculated, and the calculated maximum value is compared with the electric energy input to the point in the zone level, and a three-dimensional graph and a line graph are established according to the compared data.

5. The method of claim 1, wherein, According to the maximum consumption value in the electric energy transmission process, the overall measurement replacement threshold of the electric meter is set, the electric energy input to the point is removed from the consumption of the electric energy transmission, and then compared with the electric energy of the electric meter counted in the point, the comparison value is compared with the overall measurement replacement threshold of the electric meter, and the overall electric energy measurement error of the point is judged according to the comparison, and the error data is imported into the three-dimensional graph. The point exceeding the overall measurement replacement threshold of the electric meter is found out, and then the installation time of the electric meter with the most errors in the point is found out, and the information of the electric meter with the most errors in the installation time is uploaded to the transformer area, specifically including:

6. The method of claim 1, wherein, ​ Distinguish each point exceeding the overall meter measurement replacement threshold, find the time of the meter installation in the point exceeding the overall meter measurement replacement threshold, and count the time of the meter installation; Determine the counted meter installation time data, find the time of the meter installation with the most errors in the point exceeding the overall meter measurement replacement threshold, and upload the meter information of the point with the most errors to the transformer area.

7. The method of claim 1, wherein, According to the meter information of the point received by the transformer area, the power consumption of the meter is extracted and calculated, and the error value of the three-dimensional graph and the line graph data is speculated. If the error of the meter exceeds the overall meter measurement replacement threshold, the meter of the corresponding point is replaced by each district level, specifically including: After receiving the meter information of the point, the transformer area sends an instruction to collect the meter to each district level; The district level collects the meter information of the time of the meter installation with the most errors in each point, and then extracts and calculates the power consumption of the meter, and speculates through the error value of the three-dimensional graph and the line graph data; Speculate whether the error of the meter exceeds the overall meter measurement replacement threshold; If it exceeds the overall meter measurement replacement threshold, the transformer area sends an instruction to replace the meter of the point with the most errors in the time of the meter installation to each district level, and each district level replaces the meter.

8. A device for analyzing errors of electric meters in a transformer area based on a "three-dimensional graph", characterized by, The device comprises: The division module is used for dividing the meters in the transformer area into district levels, and dividing the meters in the district levels into points; The statistical module is used for integrating and counting the power consumption of the meter in the same point in each time period, establishing a three-dimensional graph and a line graph according to the power consumption of the meter in each point in each time period and the electric energy input to each point by the district level; The comparison module is used for comparing the maximum value of the electric energy measured by each meter in the point with the electric energy input to the point by the district level, and establishing a three-dimensional graph and a line graph according to the compared data; The setting module is used for setting the overall meter measurement replacement threshold according to the maximum consumption value in the process of electric energy transmission; The finding module is used for finding the point exceeding the overall meter measurement replacement threshold, and then finding the time of the meter installation with the most errors in the point, and uploading the meter information of the time of the meter installation with the most errors to the transformer area; The replacement module is used for extracting and calculating the power consumption of the meter according to the meter information of the point received by the transformer area, and speculating through the error value of the three-dimensional graph and the line graph data. If the error of the meter exceeds the overall meter measurement replacement threshold, the meter of the corresponding point is replaced by each district level. The error value is the difference between the power consumption of the meter counted by each point and the electric energy input to each point by the district level in the three-dimensional graph and the line graph.

9. A computer device comprising a processor and a memory for storing a processor- executable program, characterized in that, The processor implements the method of any one of claims 1-7 when executing the program stored in the memory.

10. A storage medium storing a program, characterized by comprising: The program is executed by the processor to implement the method of any one of claims 1-7.

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