Distribution branching line loss and electric energy meter abnormity diagnosis method and related device

Abstract

The invention discloses a power distribution branch line loss and electric energy meter abnormity diagnosis method and a related device, and belongs to the technical field of distribution network branch line loss treatment. The method comprises the following steps: acquiring distribution network line data; calling an analysis library according to the distribution network line data to obtain an upstream and downstream relationship of each level of switch in the distribution network line; obtaining business data; determining segmented switch nodes according to the upstream and downstream relationship of each level of switch and the service data; splitting the distribution line into a plurality of intervals according to the segmented switch nodes, and calculating the line loss condition of each interval; and obtaining the abnormality details of the electric energy meter through the line loss condition. According to the method, the switch relation in the line is obtained step by step through the analysis library, so that the line loss calculation segmentation topology interval is obtained, the abnormal information of the electric energy meter is obtained by combining service data calculation, and compared with an existing line loss treatment method, whole-path calculation is converted into segmentation calculation, the whole feeder line is automatically segmented in batches, and the line loss treatment efficiency is improved. And the line loss calculation speed and the electric energy meter abnormity positioning identification accuracy can be effectively improved.

Description

Technical Field

[0001] The invention belongs to the technical field of distribution network branch line loss management, and relates to a distribution network branch line loss and electric energy meter abnormality diagnosis method and related devices. Background Art

[0002] The distribution network is a bridge connecting the main power grid and the vast number of end users. It is responsible for distributing electricity from substations to various users and is a key link in the power system. As one of the key indicators for measuring the operating performance of power supply companies, branch line loss deeply reflects the comprehensive capabilities and levels of power supply companies in power line operation and maintenance and customer management services. This indicator specifically refers to the energy part of the electricity that is lost in the form of heat, light, magnetic energy and other non-target forms due to various reasons such as resistance heating, electromagnetic radiation, and leakage current during the transmission of electricity from the power generation end to the user end. It is not only directly related to the economic benefits of power supply companies, but also reflects the technical efficiency and energy utilization efficiency of power grid operation.

[0003] In the power supply system, 10kV branch lines play a pivotal role. They are widely distributed in urban and rural areas and become an important bridge connecting the high-voltage transmission network and the low-voltage distribution network. These branch lines directly serve the vast number of residential and commercial users and are the last link in power transmission and distribution. Their importance is self-evident. In view of the key position of 10kV branch lines in the power supply system, the line loss management work for them is particularly important. Line loss refers to the energy loss caused by various reasons (such as resistance, conductivity, etc.) during the transmission of electricity. It will not only reduce the overall efficiency of the power system and increase the operating costs of power companies, but also may pose a threat to the safe and stable operation of the power grid. Therefore, the line loss management work for 10kV branch lines is not only related to the economic benefits of power companies and the realization of energy conservation and emission reduction goals, but also to the safe and stable operation of the entire power grid and the reliability and quality of power supply.

[0004] However, traditional line loss analysis methods have many limitations. These methods are often limited to a single data dimension, mainly relying on meter readings on public transformers (public transformers) and dedicated transformers (special transformers) for unit analysis, lacking comprehensiveness and depth. In addition, most traditional methods rely on manual operations and are difficult to automate, which is not only inefficient but also prone to errors, making it difficult to adapt to the complex and changing operating environment of modern power grids and the need to process massive amounts of data.

[0005] In summary, it is urgent to develop a new and efficient line loss calculation method to achieve accurate and efficient line loss calculation and improve the level of automation. Summary of the invention

[0006] The purpose of the present invention is to provide a method and related devices for diagnosing abnormalities of distribution line loss and electric energy meters, so as to solve the technical problems of existing line loss analysis methods, which have a single dimension of analysis data, mainly rely on the electricity of public and special transformers for unit analysis, and are difficult to realize automation.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for diagnosing abnormality of power distribution line loss and electric energy meter, comprising the following steps: Obtain distribution network line data; call the parsing library based on the distribution network line data to obtain the upstream and downstream relationships of switches at all levels in the distribution network line; Obtain business data; determine the segmented switch nodes through the upstream and downstream relationships and business data of switches at all levels; According to the segmented switch nodes, the distribution line is divided into several sections, and the line loss of each section is calculated; Obtain abnormal details of the energy meter through line loss conditions.

[0008] Furthermore, the distribution network line data includes data of poles, station rooms, switches, transformers, connecting lines, intra-station connecting lines, conductor segments, busbars and automation equipment.

[0009] Furthermore, the step of calling the parsing library according to the distribution network line data to obtain the upstream and downstream relationship of switches at each level in the distribution network line specifically includes: According to the distribution network line data, the parsing library is called to obtain the switch information of each level in the distribution network line. The parent tower of each switch is obtained by dividing the order and branch characteristics of the tower number. The obtained upper pole tower information of each switch is stored as structured data, and the upstream and downstream relationships of switches at each level are obtained by parsing the structured data.

[0010] Furthermore, the business data includes PMS equipment inventory data, metering point data, switch telemetry data, electric energy meter data and electricity customer data.

[0011] Furthermore, the step of determining the segmented switch nodes according to the upstream and downstream relationships and business data of the switches at each level specifically includes: Taking advantage of the fact that the sectional switch is connected to two poles at the same time, based on business data and the connection relationship between poles, switches and transformers, the information of the two poles connected to the same switch is identified. Then, through the upstream and downstream relationship, the sorting and recursive algorithms are used to identify the user's nearest upper-level sectional switch, thereby obtaining each sectional switch node.

[0012] Furthermore, the step of dividing the distribution line into several sections according to the section switch nodes and calculating the line loss of each section specifically includes: The distribution line is split according to the current flow direction and the section switches are used as nodes to obtain several sections; Query and calculate the power consumption of the section switches in the section from the distribution automation system, and obtain the power consumption of the public transformer and high-voltage household from the power supply system; The line loss in each section is calculated by the section switch power and the public transformer and high-voltage household power.

[0013] Furthermore, the energy meter abnormality details include meter voltage abnormality, meter current abnormality, primary and secondary abnormalities of the boundary switch and meter data collection abnormality.

[0014] In a second aspect, the present invention provides a distribution line loss and electric energy meter abnormality diagnosis system, comprising: The switch relationship determination module is used to obtain the distribution network line data; according to the distribution network line data, the parsing library is called to obtain the upstream and downstream relationships of the switches at all levels in the distribution network line; The segment node determination module is used to obtain business data; the segment switch nodes are determined through the upstream and downstream relationships of switches at each level and business data; The line loss calculation module is used to divide the distribution line into several sections according to the segmented switch nodes and calculate the line loss of each section; The meter abnormality diagnosis module is used to obtain the abnormality details of the electric energy meter based on the line loss situation.

[0015] In a third aspect, the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a method and related device for diagnosing abnormalities of line loss and electric energy meter of power distribution line. By acquiring distribution network line data, the upstream and downstream relationships of switches at all levels in the distribution network line are obtained by calling the parsing library according to the distribution network line data; then the business data is obtained, each switch with automation function is used as a segmented switch, and the segmented switch is used as a node for splitting; the line loss situation is calculated step by step in the interval to obtain the abnormal details of the electric energy meter. The present invention obtains the switch relationship in the line step by step through the parsing library, thereby obtaining the segmented topological interval for line loss calculation, and obtains the abnormal information of the electric energy meter in combination with the business data calculation. Compared with the existing line loss management method, the whole line calculation is converted into segmented calculation, and the entire feeder is automatically and batch segmented, which overcomes the obstacle that the traditional line loss calculation method needs to manually query the calculation data in the production management system, marketing 186, electricity collection system, dispatching management system, distribution automation and other systems, which wastes a lot of working time. The line loss calculation method according to the present invention can effectively improve the line loss calculation speed and the accuracy of abnormal positioning and identification of electric energy meters.

[0018] Furthermore, the present invention divides the distribution line into multiple interval segments according to the current flow direction and the segment switches as nodes, introduces the segment switch power, and realizes the transformation of line loss analysis from whole-line calculation and household-by-household analysis to segment calculation and fixed-point analysis.

[0019] Furthermore, the present invention queries and calculates the power consumption of segmented switches from the distribution automation system within the interval, obtains the power consumption of public transformers and high-voltage households from the power consumption collection system, calculates the interval line loss of each segment, quickly screens out abnormal intervals, and investigates users within the interval, breaking through the limitations of traditional algorithms that rely on manual analysis, inaccurate abnormality positioning, and limited analysis data volume. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 It is a flow chart of a method for diagnosing abnormality of power distribution line loss and electric energy meter according to the present invention; Figure 2 It is a schematic diagram of a power distribution line loss and electric energy meter abnormality diagnosis system of the present invention; Figure 3 A structural block diagram of a feeder minimum segment list construction process according to an embodiment of the present invention; Figure 4 It is a schematic diagram of the computer device structure of the present invention. DETAILED DESCRIPTION

[0022] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0023] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present application belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention.

[0024] Embodiment 1: See also Figure 1 The embodiment of the present invention discloses a method for diagnosing abnormality of power distribution line loss and electric energy meter, comprising the following steps: S1, obtain distribution network line data; call the parsing library according to the distribution network line data to obtain the upstream and downstream relationship of switches at all levels in the distribution network line; In this step, the distribution network line data includes data of equipment such as towers, station rooms, switches, transformers, connecting lines, intra-station connecting lines, conductor segments, busbars, and automation equipment; Specifically, the parsing library is called according to the distribution network line data to obtain the switch information of each level in the distribution network line, and the upper pole tower of the section switch is identified according to the characteristic that the pole tower number is the order of precedence. The upper pole tower of the section switch and the upper pole tower of all users are obtained by dividing the order and branches of the pole tower number, and the upper pole tower of each switch is obtained; the result is stored as structured data, and the upstream and downstream relationship of all switches at all levels is obtained by parsing.

[0025] S2, obtain business data; determine the segmented switch nodes through the upstream and downstream relationships of switches at all levels and business data; In this step, the business data includes PMS (Power Management System, equipment asset lean management system) equipment ledger data, metering point data, switch telemetry data, energy meter data and electricity customer data. It should be noted that all kinds of business data generated in real time in the business system, including structured data of information systems such as PMS and marketing business applications, message data, measurement data and unstructured data are all used as data sources.

[0026] Specifically, through the characteristic that the section switch is connected to two towers at the same time, based on business data and the connection relationship between tower-switch-transformer, the information of two towers connected to the same switch is identified; then through the upstream and downstream relationship, the sorting and recursive algorithms are used to identify the user's nearest upper-level section switch, thereby obtaining each section switch node.

[0027] S3, divide the distribution line into several sections according to the section switch nodes, and calculate the line loss of each section; S301, splitting the distribution line according to the current flow direction and taking the section switches as nodes to obtain a plurality of sections; S302, query and calculate the power consumption of the section switches in the section from the distribution automation system, and obtain the power consumption of the public transformer and high-voltage household from the user-collecting system; S303, calculating the line loss of each section by using the section switch power and the public transformer and high-voltage household power.

[0028] Specifically, Figure 3 As shown in the figure, segmentation can be achieved by building a feeder minimum segmentation list as follows: Step 1, add all the automation switches of the line to the set CBSet; Step 2, check CBSet: If CBSet is not empty, traverse CBSet. If there is no other automatic switch downstream of a switch, add the automatic switch to the minimum segment switch queue CBQueue; if CBSet is empty, end the whole process; Step 3, traverse the queue CBQueue, for switch k and the topological subtree SEGk with this switch as the root node, if the number of distribution transformers in SEGk is greater than 0, insert SEGk into the minimum segment list SEGList. Then remove switch k from CBQueue and CBSet, and prune the subtree from the feeder topology (only keep switch k and regard it as a load leaf node).

[0029] S4, obtain the abnormal details of the electric energy meter through the line loss situation.

[0030] The energy meter abnormality details include but are not limited to meter voltage abnormality, meter current abnormality, primary and secondary abnormalities of the boundary switch and meter data collection abnormality.

[0031] This embodiment obtains distribution network line data; calls the parsing library according to the distribution network line data to obtain the switch information of each level in the distribution network line and the relationship between switches; obtains business data, divides the distribution line according to the current flow direction, and treats each switch with automation function as a segmented switch, and splits it with the segmented switch as the node; obtains the switch telemetry current and estimates the power through the enterprise-level real-time measurement center; calculates the line loss situation step by step within the interval, and obtains the abnormal details of the electric energy meter. The present invention obtains the switch relationship in the line step by step through the parsing library, thereby obtaining the segmented topological interval for line loss calculation, and obtains the abnormal information of the electric energy meter in combination with the business data calculation. Compared with the existing line loss management method, the whole-line calculation is converted into segmented calculation, and the entire feeder is segmented automatically and batched. The line loss calculation method according to the present invention can effectively improve the line loss calculation speed and the accuracy of abnormal location and identification of electric energy meters.

[0032] Embodiment 2: See also Figure 2 The embodiment of the present invention discloses a power distribution line loss and electric energy meter abnormality diagnosis system, including a switch relationship determination module, a segment node determination module, a line loss situation calculation module and a meter abnormality diagnosis module.

[0033] The switch relationship determination module is used to obtain distribution network line data; according to the distribution network line data, the parsing library is called to obtain the upstream and downstream relationships of switches at all levels in the distribution network line. Among them, the line structure includes poles, station rooms, switches, transformers, connecting lines, intra-station connecting lines, conductor segments, busbars, automation equipment and other equipment. This module obtains the device information and connection point information in the device label; uses the same connection point to obtain the connection relationship between two devices, and combines different grid structures to connect the relationship between poles and switches, switches and transformers, poles and transformers, and switches and switches in series; according to the distribution network line data, the parsing library is called to obtain the device type of equipment at all levels in the distribution network line and the upper and lower relationships between all equipment.

[0034] The segment node determination module is used to obtain business data; determine the segment switch node through the upstream and downstream relationships of switches at all levels and business data; this module uses the characteristic that the segment switch is connected to two towers at the same time, combined with the tower-switch-transformer connection relationship, to identify the two towers connected to the same switch, and identify the segment switch; specifically, according to the characteristic that the tower number is the sequence, the upper tower of the segment switch is identified, and the upper tower of the segment switch and the upper tower of all users are obtained by dividing the sequence and branches according to the tower number. The upper tower of the user is identified by sorting and recursive algorithms, and the upper tower closest to the upper tower of the user is identified, thereby identifying the upper segment switch closest to the user.

[0035] The line loss calculation module is used to divide the distribution line into several sections according to the segmented switch nodes and calculate the line loss of each section; for details, see Figure 3 , which can be achieved through the following feeder minimum segment list construction process: Step 1, add all the automation switches of the line to the set CBSet; Step 2, check CBSet: If CBSet is not empty, traverse CBSet. If there is no other automatic switch downstream of a switch, add the automatic switch to the minimum segment switch queue CBQueue; if CBSet is empty, end the whole process; Step 3, traverse the queue CBQueue, for switch k and the topological subtree SEGk with this switch as the root node, if the number of distribution transformers in SEGk is greater than 0, insert SEGk into the minimum segment list SEGList. Then remove switch k from CBQueue and CBSet, and prune the subtree from the feeder topology (only keep switch k and regard it as a load leaf node). When CBQueue is empty, jump back to Step 2. Traverse the minimum segment list SEGList, calculate the time-sharing line loss rate of all segments according to one or more given statistical time periods, and refer to the State Grid's synchronous line loss system. When the line loss rate exceeds 10%, it is considered abnormal and requires further analysis and judgment.

[0036] The meter abnormality diagnosis module is used to obtain the abnormality details of the electric energy meter according to the line loss situation, including but not limited to abnormal meter voltage, abnormal meter current, abnormal primary and secondary boundary switches, and abnormal meter data collection.

[0037] This embodiment divides the distribution line into multiple interval segments according to the direction of current flow and the segment switches as nodes, introduces the power of the segment switches, and realizes the transformation of line loss analysis from whole-line calculation and household-by-household analysis to segment calculation and fixed-point analysis. The segment switch power is queried and calculated from the distribution automation system within the interval, and the power of the public transformer and high-power household is obtained from the power collection system. By calculating the interval line loss of each segment, the abnormal interval is quickly screened, and the users in the interval are checked, breaking through the limitations of traditional algorithms that rely on manual analysis, inaccurate abnormal location, and limited analysis data. The present invention realizes the automatic calculation of branch line loss, and overcomes the obstacle that the traditional line loss calculation method requires manual query and calculation of data in the production management system, marketing 186, power collection system, dispatching management system, distribution automation and other systems, which wastes a lot of working time.

[0038] In one embodiment of the present invention, a computer device is provided, wherein Figure 4, the computer device includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the abnormal diagnosis method of the power distribution line loss and the electric energy meter.

[0039] The present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the abnormal diagnosis method for distribution line loss and electric energy meter in the above embodiment.

[0040] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0041] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0042] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0043] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for diagnosing abnormality of power distribution line loss and electric energy meter, characterized in that: The following steps are involved: Obtain distribution network line data; call the parsing library based on the distribution network line data to obtain the upstream and downstream relationships of switches at all levels in the distribution network line; Obtain business data; determine the segmented switch nodes through the upstream and downstream relationships and business data of switches at all levels; According to the segmented switch nodes, the distribution line is divided into several sections, and the line loss of each section is calculated; Obtain abnormal details of the energy meter through line loss conditions.

2. A method for diagnosing abnormality of power distribution line loss and electric energy meter according to claim 1, characterized in that: The distribution network line data includes data of poles, station rooms, switches, transformers, connecting lines, intra-station connecting lines, conductor segments, busbars and automation equipment.

3. A method for diagnosing abnormality of power distribution line loss and electric energy meter according to claim 1, characterized in that: The step of calling the parsing library according to the distribution network line data to obtain the upstream and downstream relationship of switches at all levels in the distribution network line specifically includes: According to the distribution network line data, the parsing library is called to obtain the switch information of each level in the distribution network line. The parent tower of each switch is obtained by dividing the order and branch characteristics of the tower number. The obtained upper pole tower information of each switch is stored as structured data, and the upstream and downstream relationships of switches at each level are obtained by parsing the structured data.

4. A method for diagnosing abnormality of power distribution line loss and electric energy meter according to claim 1, characterized in that: The business data includes PMS equipment inventory data, metering point data, switch telemetry data, electric energy meter data and electricity customer data.

5. A method for diagnosing abnormality of power distribution line loss and electric energy meter according to claim 1, characterized in that: The step of determining the segmented switch nodes according to the upstream and downstream relationships of the switches at each level and the business data specifically includes: Taking advantage of the fact that the sectional switch is connected to two poles at the same time, based on business data and the connection relationship between poles, switches and transformers, the information of the two poles connected to the same switch is identified. Then, through the upstream and downstream relationship, the sorting and recursive algorithms are used to identify the user's nearest upper-level sectional switch, thereby obtaining each sectional switch node.

6. A method for diagnosing abnormality of power distribution line loss and electric energy meter according to claim 1, characterized in that: The step of dividing the distribution line into several sections according to the section switch nodes and calculating the line loss of each section specifically includes: The distribution line is split according to the current flow direction and the section switches are used as nodes to obtain several sections; Query and calculate the power consumption of the section switches in the section from the distribution automation system, and obtain the power consumption of the public transformer and high-voltage household from the power supply system; The line loss in each section is calculated by the section switch power and the public transformer and high-voltage household power.

7. A method for diagnosing abnormality of power distribution line loss and electric energy meter according to claim 1, characterized in that: The energy meter abnormality details include meter voltage abnormality, meter current abnormality, primary and secondary abnormalities of the boundary switch and meter data collection abnormality.

8. A distribution line loss and energy meter abnormality diagnosis system, characterized in that: include: A switch relationship determination module, used to obtain distribution network line data; According to the distribution network line data, the parsing library is called to obtain the upstream and downstream relationship of switches at all levels in the distribution network line; The segment node determination module is used to obtain business data; the segment switch nodes are determined through the upstream and downstream relationships of switches at each level and business data; The line loss calculation module is used to divide the distribution line into several sections according to the segmented switch nodes and calculate the line loss of each section; The meter abnormality diagnosis module is used to obtain the abnormality details of the electric energy meter based on the line loss situation.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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