Transformer comprehensive monitoring device evaluation method and system considering dynamic weight

Abstract

The invention discloses a transformer comprehensive monitoring device evaluation method and system considering dynamic weight, and belongs to the technical field of power equipment state evaluation. The method comprises the following steps: establishing a mapping relation for evaluation factors and comments of the comprehensive monitoring device of the transformer, and constructing an evaluation factor set based on the evaluation factors so as to construct a comment set based on preset comments; constructing a judgment matrix based on the evaluation factor set and the evaluation language set, constructing a dynamic weight set based on the judgment matrix, performing consistency check on the dynamic weight set, and obtaining a check score; and determining a test item score based on the test score and the test score table, and determining an evaluation result of the transformer comprehensive monitoring device based on the test item score. The evaluation result of the comprehensive monitoring device is obtained in combination with the detection score of the inspection item, accurate detection of the comprehensive monitoring device on the state of the transformer is facilitated, and the effectiveness of the comprehensive monitoring device is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment status evaluation, and more particularly to a transformer comprehensive monitoring device evaluation method and system taking dynamic weights into account. Background Art

[0002] Transformers (reactors) are core equipment in power grids. Their comprehensive monitoring devices integrate monitoring technologies such as partial discharge, current, and vibration. They can overcome the limitations of a single monitoring method, simultaneously sense early equipment defects, and conduct comprehensive analysis. This is an effective condition monitoring technology for transformers (reactors) of 110kV and above, and plays an important role in early detection of latent transformer (reactor) defects and avoiding explosion accidents. According to on-site operation and maintenance experience, chromatographic monitoring in comprehensive monitoring devices has high reliability. Partial discharge and vibration monitoring are basically in a "blind run" state after commissioning. Important performance indicators such as monitoring sensitivity, trend warning effectiveness, and signal transmission ratio are in an unknown state. Problems such as sensor failure and reduced weather resistance of the device frequently occur, resulting in the inability to guarantee important functions such as the effectiveness of monitoring data and the timeliness of status warnings, seriously affecting the comprehensive diagnosis and assessment of the status of the main equipment.

[0003] Carrying out effective performance testing of comprehensive monitoring devices is an important technical means to improve the effectiveness of the device. The existing inspection items and evaluation methods are all based on ideal conditions under laboratory conditions, and do not take into account factors such as transformer operating conditions and on-site interference. Summary of the Invention

[0004] To address the above issues, the present invention proposes a transformer comprehensive monitoring device evaluation method taking dynamic weights into account, comprising:

[0005] Establishing a mapping relationship between evaluation factors and comments of the transformer comprehensive monitoring device, and constructing an evaluation factor set based on the evaluation factors, and constructing a comment set based on the preset comments;

[0006] Constructing a judgment matrix based on the evaluation factor set and the comment set, and constructing a dynamic weight set based on the judgment matrix, performing a consistency test on the dynamic weight set, and obtaining a test score;

[0007] Based on the inspection score and the inspection score table, the inspection item score is determined, and based on the inspection item score, the evaluation result of the transformer comprehensive monitoring device is determined.

[0008] Optionally, evaluation factors include: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness.

[0009] Optionally, the eigenvector corresponding to the largest eigenroot in the judgment matrix is: the weight distribution of the evaluation factor set.

[0010] Optionally, the judgment matrix is normalized to construct a dynamic weight set.

[0011] Optionally, the consistency check formula is: CR = CI / RI

[0012] CR is the test score, CI is the consistency index of the judgment matrix, and RI is the general consistency index of the judgment matrix.

[0013] Optionally, the evaluation result is the cumulative sum of the test item scores and the product of the weights, as follows:

[0014] S=∑α i ·K

[0015] Among them, S is the evaluation result score, K is the test item score, α i is the weight set.

[0016] In another aspect, the present invention further provides a transformer comprehensive monitoring device evaluation system taking dynamic weights into account, comprising:

[0017] A set construction unit is used to establish a mapping relationship between evaluation factors and comments of the transformer comprehensive monitoring device, and to construct an evaluation factor set based on the evaluation factors, so as to construct a comment set based on the preset comments;

[0018] a verification unit, configured to construct a judgment matrix based on the evaluation factor set and the comment set, and to construct a dynamic weight set based on the judgment matrix, to perform a consistency test on the dynamic weight set, and to obtain a test score;

[0019] The scoring unit is used to determine the inspection item score based on the inspection score and the inspection score table, and determine the evaluation result of the transformer comprehensive monitoring device based on the inspection item score.

[0020] Optionally, evaluation factors include: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness.

[0021] Optionally, the eigenvector corresponding to the largest eigenroot in the judgment matrix is: the weight distribution of the evaluation factor set.

[0022] Optionally, the judgment matrix is normalized to construct a dynamic weight set.

[0023] Optionally, the consistency check formula is: CR = CI / RI

[0024] CR is the test score, CI is the consistency index of the judgment matrix, and RI is the general consistency index of the judgment matrix.

[0025] Optionally, the evaluation result is the cumulative sum of the test item scores and the product of the weights, as follows:

[0026] S=∑α i ·K

[0027] Among them, S is the evaluation result score, K is the test item score, α i is the weight set.

[0028] In yet another aspect, the present invention further provides a computing device comprising: one or more processors;

[0029] a processor for executing one or more programs;

[0030] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0031] In another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention provides a method for evaluating a transformer comprehensive monitoring device that takes dynamic weights into account, comprising: establishing a mapping relationship between evaluation factors and comments for the transformer comprehensive monitoring device, constructing an evaluation factor set based on the evaluation factors, and constructing a comment set based on the preset comments; constructing a judgment matrix based on the evaluation factor set and the comment set, and constructing a dynamic weight set based on the judgment matrix, performing a consistency check on the dynamic weight set, and obtaining a test score; determining a test item score based on the test score and a test score table, and determining an evaluation result for the transformer comprehensive monitoring device based on the test item score. The present invention combines the test item detection scores to obtain an evaluation result for the comprehensive monitoring device, thereby facilitating the comprehensive monitoring device to accurately detect the transformer status and improving the effectiveness of the comprehensive monitoring device. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of the method of the present invention;

[0035] Figure 2 is a flow chart of an embodiment of the method of the present invention;

[0036] Figure 3 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0037] Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to provide a thorough and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments shown in the accompanying drawings is not intended to limit the present invention. In the accompanying drawings, identical elements are denoted by the same reference numerals.

[0038] Unless otherwise specified, the terms used herein (including technical terms) have the meanings commonly understood by those skilled in the art. In addition, it is understood that terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0039] Example 1:

[0040] The present invention proposes a transformer comprehensive monitoring device evaluation method taking into account dynamic weights, such as Figure 1 Shown, including:

[0041] Step 1: establishing a mapping relationship between evaluation factors and comments of a transformer comprehensive monitoring device, and constructing an evaluation factor set based on the evaluation factors, and constructing a comment set based on the preset comments;

[0042] Step 2: constructing a judgment matrix based on the evaluation factor set and the comment set, and constructing a dynamic weight set based on the judgment matrix, performing a consistency test on the dynamic weight set, and obtaining a test score;

[0043] Step 3: Determine the inspection item scores based on the inspection scores and the inspection score table, and determine the evaluation results of the transformer comprehensive monitoring device based on the inspection item scores.

[0044] Among them, the evaluation factors include: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness and interference suppression effectiveness.

[0045] Among them, the eigenvector corresponding to the largest eigenroot in the judgment matrix is: the weight distribution of the evaluation factor set.

[0046] The judgment matrix is normalized to construct a dynamic weight set.

[0047] The consistency check formula is: CR = CI / RI

[0048] CR is the test score, CI is the consistency index of the judgment matrix, and RI is the general consistency index of the judgment matrix.

[0049] The evaluation result is the cumulative sum of the test item scores and the weight product, and the formula is as follows:

[0050] S=∑α i ·K

[0051] Among them, S is the evaluation result score, K is the test item score, α i is the weight set.

[0052] The present invention will be further described below with reference to specific cases:

[0053] Since there are significant differences between on-site inspection and laboratory inspection of transformer (reactor) comprehensive monitoring devices, on-site inspections need to focus on the multiple impacts of multiple factors such as sensor installation location, transformer structure, and operating conditions on the inspection method and evaluation basis. The impact of multiple factors needs to be incorporated into the evaluation method. Therefore, dynamic weight research is introduced to iterate multiple influencing factors into a quantitative evaluation algorithm in the form of dynamic weights. The evaluation results help the comprehensive monitoring device to accurately detect the transformer status and improve the effectiveness of the comprehensive monitoring device.

[0054] The present invention establishes a factor set encompassing sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness. The weights of test items are determined using the analytic hierarchy process. The weight assignments are optimized in real time based on online monitoring data and historical data, and consistency checks are performed. Furthermore, a scoring table for test items is developed, and the final score for the transformer integrated monitoring device is calculated by summing the scores of each test item with the product of the weights.

[0055] The specific steps include:

[0056] Establish a mapping relationship between factors and evaluation results, determine the evaluation factor set; determine the comment set; construct a judgment matrix; determine the weight set; perform consistency test on the weight set; combine the test item scores to obtain the final evaluation results of the comprehensive monitoring device.

[0057] The evaluation factor set comprehensively considers the influence of the monitoring location and operating status of the transformer, including six types of inspection items: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness. All inspection items are carried out under the operating conditions of the transformer.

[0058] Specifically, sensitivity, linearity, and dynamic range characterize the basic performance of the comprehensive monitoring device, while trend warning effectiveness, pattern recognition effectiveness, interference suppression effectiveness, and trend warning effectiveness characterize the advanced performance of the comprehensive monitoring device.

[0059] The judgment matrix is constructed as follows: F represents the factor set, fi represents the evaluation factor, then F = {f1, f2, f3, f4, f5, f6}. W represents the judgment matrix, wij is the element in the judgment matrix, wij represents the relative importance of factor fi to fj (j = 1, 2, 3, 4, 5, 6), and the values and specific meanings of wij are shown in Table 1 below.

[0060] Table 1

[0061]

[0062] According to the above wij values and their specific meanings, the judgment matrix W is obtained:

[0063]

[0064] The weight distribution of the factor set is the eigenvector corresponding to the largest eigenroot of the judgment matrix, that is, the importance ranking of each test item. The matrix is normalized to obtain the final weight set A = {α1, α2, α3, α4, α5, α6}.

[0065] The consistency test is an important step in testing whether the weight distribution is reasonable. When the random consistency CR of the judgment matrix is less than 0.1, the matrix is considered to have satisfactory consistency, indicating that the weight distribution is reasonable; otherwise, the judgment matrix needs to be adjusted until it has satisfactory consistency.

[0066] Specifically, the consistency test formula is CR=CI / RI, where CI is the consistency index of the judgment matrix, CI=0.2(λmax-6); RI is the general consistency index of the judgment matrix, and for a 6-order matrix, RI=1.24.

[0067] The inspection item scoring table has four score segments: 0, 60, 80, and 100. Specifically, when the inspection pass rate σ is less than 60%, the inspection item score K is 0; when the inspection pass rate is 60%≤σ<70%, the inspection item score K is 60; when the inspection pass rate is 70%≤σ<90%, the inspection item score K is 80; when the inspection pass rate is 90%≤σ≤100%, the inspection item score K is 100.

[0068] The final score of the transformer comprehensive monitoring device is the cumulative sum of the inspection item scores and the weighted product, and the calculation formula is expressed as follows:

[0069] S=∑α i ·K

[0070] Based on the final score of the transformer comprehensive monitoring device, the comprehensive monitoring device is divided into four grades: A, B, C, and D. Specifically, when the evaluation score S is less than 60, the transformer comprehensive monitoring device is graded as D (unqualified); when the evaluation score is 60≤S<70, the transformer comprehensive monitoring device is graded as C; when the evaluation score is 70≤S<90, the transformer comprehensive monitoring device is graded as B; and when the evaluation score is 90≤S≤100, the transformer comprehensive monitoring device is graded as A.

[0071] The following analysis is conducted using a transformer with normal chromatographic status as an example.

[0072] Step 1: Based on the technical characteristics, application scenarios, and problem-solving of the integrated monitoring device, the overall inspection project is divided into two categories: basic performance and advanced performance. For hardware performance such as signal monitoring, signal conditioning, and signal acquisition, sensitivity, linearity, and dynamic range are selected as evaluation factors. For software performance such as fingerprint information extraction, feature correlation analysis, and early warning algorithms, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness are selected as evaluation factors. The set of evaluation factors is denoted as F = {f1, f2, f3, f4, f5, f6}. Specifically, f1 is sensitivity, f2 is linearity, f3 is dynamic range, f4 is trend warning effectiveness, f5 is pattern recognition effectiveness, and f6 is interference suppression effectiveness.

[0073] Step 2: Determine the comment set. The overall performance of the transformer integrated monitoring device is divided into four levels: A, B, C, and D (unqualified), with corresponding comprehensive scores of "S < 60", "60 ≤ S < 70", "70 ≤ S < 90", and "90 ≤ S ≤ 100".

[0074] Step 3: Construct a judgment matrix. According to the transformer operating status, the empirical judgment matrix is given as follows:

[0075]

[0076] Step ④: Calculate the eigenvalues and eigenvectors of the judgment matrix. The maximum eigenvalue of the judgment matrix is λmax = 6.3322, and the corresponding eigenvectors are {0.7296, 0.1591, 0.0830, 0.0468, 0.5803, 0.3107}. The final weight set is A = {0.5323, 0.0254, 0.0069, 0.0022, 0.3367, 0.0965}.

[0077] Step 5: Perform consistency check on the weight set. According to the consistency ratio calculation formula of the judgment matrix CR = CI / RI, we get CR = 0.0536 < 0.10, which means the matrix has good consistency.

[0078] Step ⑥: Obtain the score sheet for the six inspection items, as shown in Table 2 below.

[0079] Table 2

[0080]

[0081] According to the scoring formula S = ∑α i 2 K, the final score of the comprehensive monitoring device is 86.09, and the evaluation result of the transformer comprehensive monitoring device is B.

[0082] According to the real-time monitoring position and operating status of the transformer, the judgment matrix is dynamically adjusted, the weights of the evaluation factor set are redistributed, and the real-time evaluation results of the comprehensive monitoring device are obtained.

[0083] Example 2:

[0084] The present invention also proposes a transformer comprehensive monitoring device evaluation system 200 taking into account dynamic weights, such as Figure 3 Shown, including:

[0085] A set construction unit 201 is used to establish a mapping relationship between evaluation factors and comments of the transformer comprehensive monitoring device, and to construct an evaluation factor set based on the evaluation factors, and to construct a comment set based on the preset comments;

[0086] A verification unit 202 is configured to construct a judgment matrix based on the evaluation factor set and the comment set, construct a dynamic weight set based on the judgment matrix, perform a consistency check on the dynamic weight set, and obtain a check score;

[0087] The scoring unit 203 is configured to determine the inspection item scores based on the inspection scores and the inspection scoring table, and determine the evaluation results of the transformer comprehensive monitoring device based on the inspection item scores.

[0088] Among them, the evaluation factors include: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness and interference suppression effectiveness.

[0089] Among them, the eigenvector corresponding to the largest eigenroot in the judgment matrix is: the weight distribution of the evaluation factor set.

[0090] The judgment matrix is normalized to construct a dynamic weight set.

[0091] The consistency check formula is: CR = CI / RI

[0092] CR is the test score, CI is the consistency index of the judgment matrix, and RI is the general consistency index of the judgment matrix.

[0093] The evaluation result is the cumulative sum of the test item scores and the weight product, and the formula is as follows:

[0094] S=∑α i ·K

[0095] Among them, S is the evaluation result score, K is the test item score, α i is the weight set.

[0096] The present invention combines the detection scores of the inspection items to obtain the evaluation results of the comprehensive monitoring device, which helps the comprehensive monitoring device to accurately detect the transformer status and improves the effectiveness of the comprehensive monitoring device.

[0097] Example 3:

[0098] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein 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 may be 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, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the method in the above embodiment.

[0099] Example 4:

[0100] Based on the same inventive concept, 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 can be understood 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 that 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. 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, 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 steps of the method in the above embodiment.

[0101] It will be understood by those skilled in the art that the 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. The solutions in the embodiments of the present invention may be implemented in various computer languages, for example, the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0102] 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 flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, 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 flowcharts and / or block diagrams. 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.

[0103] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0105] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0106] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for evaluating a transformer comprehensive monitoring device taking into account dynamic weights, characterized in that: include: Establishing a mapping relationship between evaluation factors and comments of the transformer comprehensive monitoring device, and constructing an evaluation factor set based on the evaluation factors, and constructing a comment set based on the preset comments; Constructing a judgment matrix based on the evaluation factor set and the comment set, and constructing a dynamic weight set based on the judgment matrix, performing a consistency test on the dynamic weight set, and obtaining a test score; Based on the inspection score and the inspection score table, the inspection item score is determined, and based on the inspection item score, the evaluation result of the transformer comprehensive monitoring device is determined.

2. The transformer comprehensive monitoring device evaluation method according to claim 1, characterized in that: The evaluation factors include: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness.

3. The transformer comprehensive monitoring device evaluation method according to claim 1, characterized in that: The eigenvector corresponding to the largest eigenroot in the judgment matrix is: the weight distribution of the evaluation factor set.

4. The transformer comprehensive monitoring device evaluation method according to claim 1, characterized in that: The judgment matrix is normalized to construct a dynamic weight set.

5. The transformer comprehensive monitoring device evaluation method according to claim 1, characterized in that: The verification formula of the consistency check is: CR = CI / RI CR is the test score, CI is the consistency index of the judgment matrix, and RI is the general consistency index of the judgment matrix.

6. The transformer comprehensive monitoring device evaluation method according to claim 1, characterized in that: The evaluation result is the cumulative sum of the test item scores and the weight product, and the formula is as follows: S=∑α i ·K Among them, S is the evaluation result score, K is the test item score, α i is the weight set.

7. A transformer comprehensive monitoring device evaluation system taking into account dynamic weights, characterized in that: include: A set construction unit is used to establish a mapping relationship between evaluation factors and comments of the transformer comprehensive monitoring device, and to construct an evaluation factor set based on the evaluation factors, so as to construct a comment set based on the preset comments; a verification unit, configured to construct a judgment matrix based on the evaluation factor set and the comment set, and to construct a dynamic weight set based on the judgment matrix, to perform a consistency test on the dynamic weight set, and to obtain a test score; The scoring unit is used to determine the inspection item score based on the inspection score and the inspection score table, and determine the evaluation result of the transformer comprehensive monitoring device based on the inspection item score.

8. The transformer comprehensive monitoring device evaluation system according to claim 7, characterized in that: The evaluation factors include: sensitivity, linearity, dynamic range, trend warning effectiveness, pattern recognition effectiveness, and interference suppression effectiveness.

9. The transformer comprehensive monitoring device evaluation system according to claim 7, characterized in that: The eigenvector corresponding to the largest eigenroot in the judgment matrix is: the weight distribution of the evaluation factor set.

10. The transformer comprehensive monitoring device evaluation system according to claim 7, characterized in that: The judgment matrix is normalized to construct a dynamic weight set.

11. The transformer comprehensive monitoring device evaluation system according to claim 7, characterized in that: The verification formula of the consistency check is: CR = CI / RI CR is the test score, CI is the consistency index of the judgment matrix, and RI is the general consistency index of the judgment matrix.

12. The transformer comprehensive monitoring device evaluation system according to claim 7, characterized in that: The evaluation result is the cumulative sum of the test item scores and the weight product, and the formula is as follows: S=∑α i ·K Among them, S is the evaluation result score, K is the test item score, α i is the weight set.

13. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 6 is implemented.

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