Performance supervision method and system based on power grid production risk management and control

Abstract

The embodiment of the invention provides a performance supervision method and system based on power grid production risk management and control, and belongs to the technical field of power grid production risk management and control. The method comprises the following steps: constructing a hierarchical structure model for performance supervision; determining the weight of each index in the hierarchical structure model by adopting an AHP algorithm; calculating a comprehensive score of each production project according to the weight; and determining the work acceptance condition of the production project according to the comprehensive score. According to the method and the system, the AHP algorithm is adopted to weight each index of the performance supervision of the power grid production project, so that the comprehensive score of the production project after the performance supervision is obtained, and the work acceptance condition of the production project is finally determined according to the comprehensive score. Compared with the prior art, the method and the system provided by the invention replace an artificial subjective scoring mode, and improve the accuracy of project supervision acceptance assessment.

Description

Technical Field

[0001] The present invention relates to the technical field of production risk control of power grids, and in particular to a method and system for performance inspection based on production risk control of power grids. Background Art

[0002] In the process of power grid production acceptance, due to the numerous and complex indicators involved, the traditional acceptance evaluation method often relies on the subjective judgment of professionals on the data. Although this method is simple and easy to use, it has obvious limitations. First, human judgment is easily affected by personal experience, cognitive bias and psychological state, which makes it difficult to ensure the objectivity and accuracy of the evaluation results. Secondly, due to the lack of unified evaluation standards and quantitative models, there may be large differences in the evaluation results between different personnel, making it difficult for the acceptance conclusion to be widely recognized. In addition, the existing evaluation methods usually do not take into account the interrelationships and influences between the various indicators, and cannot fully reflect the overall performance and risk level of power grid production. Therefore, the current power grid production acceptance evaluation system faces many challenges, including the consistency of evaluation results, reliability issues, and the lack of systematicity and scientificity. The existence of these problems not only affects the efficiency of acceptance work, but also increases the potential risks of power grid operation. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a method and system for performance supervision based on power grid production risk management and control, which improves the accuracy of power grid production project evaluation.

[0004] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a method for supervising performance of duties based on power grid production risk management and control, including:

[0005] Construct a hierarchical model for performance supervision;

[0006] The AHP algorithm is used to determine the weight of each indicator in the hierarchical structure model;

[0007] Calculate a comprehensive score for each production item based on the weights;

[0008] The work acceptance status of the production project is determined based on the comprehensive score.

[0009] Optionally, a hierarchical model for performance supervision is constructed, including:

[0010] Generating a comprehensive score as the target layer of the hierarchical model;

[0011] The preset first indicator, second indicator, third indicator, fourth indicator, fifth indicator and sixth indicator are used as the criterion layer of the hierarchical structure model, wherein the first indicator is used to indicate whether the leading cadres and professional management personnel have fulfilled their duties in place, the second indicator is used to indicate whether the leading cadres and professional management personnel are in place on time, the third indicator is used to indicate whether the leading cadres and professional management personnel have any problems or omissions, the fourth indicator is used to indicate whether the supervision unit, the supervision project department and the supervision personnel have fulfilled their responsibilities, the fifth indicator is used to indicate whether the person in charge of the work and the dedicated guardian are on site, and the sixth indicator is used to indicate whether the operating personnel are clear about the work tasks and danger points;

[0012] The inspection data of the production project to be scored is used as the solution layer of the hierarchical model.

[0013] Optionally, the weight of each indicator in the hierarchical structure model is determined by using an AHP algorithm, including:

[0014] Construct a judgment matrix;

[0015] Calculate a weight vector according to the judgment matrix;

[0016] Performing a consistency check operation according to the weight vector;

[0017] Determine whether the consistency check operation passes;

[0018] If it is determined that the consistency check operation fails, adjusting the judgment matrix, and returning to the step of calculating the weight vector according to the judgment matrix;

[0019] In case it is determined that the consistency check operation passes, the weight is determined according to the weight vector.

[0020] Optionally, determining whether the consistency check operation passes includes:

[0021] According to formula (1), the maximum characteristic root is calculated.

[0022]

[0023] Among them, λ max is the maximum characteristic root, n is the order of the judgment matrix, (AW) i is the standardized i-th weight, W i is the i-th weight before normalization.

[0024] Optionally, determining whether the consistency check operation passes includes:

[0025] According to formula (2), the consistency index is calculated:

[0026]

[0027] Wherein, CI is the consistency index.

[0028] Optionally, determining whether the consistency check operation passes includes:

[0029] The test value is calculated according to formula (3):

[0030]

[0031] Wherein, CR is the test value, and RI is the random consistency index obtained by looking up the table;

[0032] Determine whether the test value is less than a preset value;

[0033] In the case where it is determined that the check value is less than the preset value, determining that the consistency check operation is passed;

[0034] In the case where it is determined that the check value is greater than or equal to the preset value, it is determined that the consistency check operation has failed.

[0035] Optionally, a comprehensive score of each production staff is calculated according to the weight, including:

[0036] Taking a preset time length as a unit, the index value of the production project on the corresponding index is counted, wherein the index value is 0 or 1. If the production project does not meet the production requirements of the corresponding index, the index value is 0, and if the production project meets the production requirements of the corresponding index, the index value is 1;

[0037] Determine the statistical number of times the indicator value is 0 and 1 in each time period;

[0038] Calculate the percentage of the number of times the indicator value is 0;

[0039] Determine whether the statistical number ratio is greater than or equal to a preset threshold;

[0040] When it is determined that the statistical number ratio is greater than or equal to the threshold, the indicator value corresponding to the time period is determined to be 0;

[0041] When it is determined that the statistical number ratio is less than the threshold value, the indicator value corresponding to the time period is determined to be 1.

[0042] Optionally, calculating the statistical number ratio of the indicator value being 0 includes:

[0043] The statistical frequency ratio is calculated according to formula (4):

[0044]

[0045] Among them, θ is the proportion of the statistical times, x0 is the statistical times when the index value is 0, and x1 is the statistical times when the index value is 1.

[0046] On the other hand, the present invention also provides a system for performance supervision based on power grid production risk management and control, the system comprising a processor, and the processor is configured to execute any of the methods described above.

[0047] Through the above technical solution, the embodiment of the present invention provides a method and system for performance inspection based on power grid production risk control. The method and system weight each index of the performance inspection of power grid production projects by using the AHP algorithm, thereby obtaining a comprehensive score after the performance inspection of the production project, and finally determining the work acceptance of the production project based on the comprehensive score. Compared with the prior art, the method and system provided by the present invention replace the human subjective scoring method, and improve the accuracy of project inspection and acceptance evaluation.

[0048] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0050] Figure 1 is a flow chart of a method for supervising performance of duties based on power grid production risk management and control according to an embodiment of the present invention;

[0051] Figure 2 is an example diagram of a hierarchical structure model according to one embodiment of the present invention;

[0052] Figure 3 is a flow chart of an AHP algorithm according to one embodiment of the present invention;

[0053] Figure 4 is a flowchart of step S12 according to one embodiment of the present invention;

[0054] Figure 5 is an exemplary diagram of a case where the index value of the first index is 0 according to one embodiment of the present invention; and

[0055] Figure 6 1 is an exemplary diagram of a case where the index value of the second index is 0 according to one embodiment of the present invention. DETAILED DESCRIPTION

[0056] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0057] like Figure 1 FIG. 1 is a flow chart of a method for supervising performance of duties based on power grid production risk management and control according to an embodiment of the present invention. Figure 1 In the method, the method may include the following steps:

[0058] In step S10, a hierarchical model for duty performance supervision is constructed;

[0059] In step S11, the AHP algorithm is used to determine the weight of each indicator in the hierarchical model;

[0060] In step S12, a comprehensive score of each production item is calculated according to the weight;

[0061] In step S13, the work acceptance status of the production project is determined based on the comprehensive score.

[0062] In this Figure 1 In the method shown, step S10 can be to construct a hierarchical model for performance supervision. The specific content of the hierarchical model can be in various forms known to those skilled in the art. In one example of the present invention, taking into account the content of the performance supervision involved in this application, when generating the hierarchical model, the generation of a comprehensive score can be used as the target layer of the hierarchical model, and the preset first indicator, second indicator, third indicator, fourth indicator, fifth indicator and sixth indicator can be used as the criterion layer of the hierarchical model. Among them, the first indicator is used to indicate whether the leading cadres and professional managers have fulfilled their duties, the second indicator is used to indicate whether the leading cadres and professional managers are in place on time, the third indicator is used to indicate whether there are problems or omissions in the supervision of the leading cadres and professional managers, the fourth indicator is used to indicate whether the supervision unit, the supervision project department and the supervision personnel have fulfilled their duties, the fifth indicator is used to indicate whether the person in charge of the work and the dedicated guardian are on site, and the sixth indicator is used to indicate whether the operating personnel are clear about the work tasks and danger points. Finally, the inspection data of the production project to be scored is used as the solution layer of the hierarchical model. The generated hierarchical model can be as follows Figure 2 shown.

[0063] Step S11 can be used to determine the weights of various indicators in the hierarchical model using the AHP algorithm. The AHP algorithm can be in various forms known to those skilled in the art. In one example of the present invention, the AHP algorithm can include: Figure 3 In the method shown in Figure 3 In the AHP algorithm, the following steps can be included:

[0064] In step S20, a judgment matrix is ​​constructed;

[0065] In step S21, a weight vector is calculated according to the judgment matrix;

[0066] In step S22, a consistency check operation is performed according to the weight vector;

[0067] In step S23, it is determined whether the consistency check operation is passed. Specifically, in this example, step 23 may be to first calculate the maximum characteristic root according to formula (1),

[0068]

[0069] Among them, λ max is the largest characteristic root, n is the order of the judgment matrix, (AW) i is the standardized i-th weight, W i is the i-th weight before normalization.

[0070] Then the consistency index is calculated according to formula (2):

[0071]

[0072] Among them, CI is the consistency index.

[0073] Then calculate the test value according to formula (3):

[0074]

[0075] Among them, CR is the test value, and RI is the random consistency index obtained by looking up the table;

[0076] Finally, it is determined whether the test value is less than a preset value. If the test value is less than the preset value, it is determined that the consistency check operation has passed; otherwise, if the test value is greater than or equal to the preset value, it is determined that the consistency check operation has not passed.

[0077] In step S24, if the consistency check operation fails, the judgment matrix is ​​adjusted, and the step of calculating the weight vector according to the judgment matrix is ​​returned to execute, that is, the step S21 is returned to execute;

[0078] In step S25, when it is determined that the consistency check operation has passed, the weight is determined according to the weight vector.

[0079] Step S12 can be used to calculate the comprehensive score of each production project according to the weight. Considering the huge amount of data of the indicators corresponding to each weight, it is difficult to calculate the comprehensive score directly by traversing all the data. Therefore, in one example of the present invention, step S12 can also include the following: Figure 4 In the method shown in Figure 4 In the step S12, the step S12 may further include the following steps:

[0080] In step S30, the index value of the production project on the corresponding index is counted in units of preset time length, wherein the index value is 0 or 1. If the production project does not meet the production requirements of the corresponding index, the index value is 0, and if the production project meets the production requirements of the corresponding index, the index value is 1. In one example of the present invention, taking the first indicator used to indicate whether leading cadres and professional managers have fulfilled their duties on the job as an example, at a 10kV line pole erection site, the safety inspection center video found that the crane support was removed before the pole was compacted, and the on-duty personnel did not stop it on the spot, which posed a great risk of pole collapse. Figure 5 As shown. This behavior violates the "Notice of the State Grid Safety Supervision Department on Printing and Distributing the Interpretation of Serious Violations" (Safety Supervision No. 2

[2022] 33) List of Serious Violations [Article 102] Leading cadres and professional management personnel failed to perform their duties in place, relevant personnel should be in place but are not, should check but do not, and serious violations still exist on site after they are in place. At this time, the indicator value corresponding to the first indicator can be set to 0. In another example of the present invention, taking the second indicator used to indicate whether leading cadres and professional management personnel are in place on time as an example, at a 10kV line reconstruction project operation site, the transformer crossarm is being installed on site, but the person in charge of the work is not on site. Figure 6 Violation of the "Notice of the State Grid Safety Supervision Department on Issuing the Interpretation of Serious Violations" (Safety Supervision No. 2

[2022] 33) List of Serious Violations [Article 5] The person in charge of the work (operation supervisor, dedicated guardian) is not on site, or the labor subcontractor serves as the person in charge of the work (operation supervisor).

[0081] In step S31, the statistical number of times the index value is 0 and 1 in each time period is determined;

[0082] In step S32, the statistical number ratio of which the index value is 0 is calculated. Specifically, in this example, the statistical number ratio can be calculated using the following formula (4):

[0083]

[0084] Among them, θ is the proportion of statistical times, x0 is the statistical number of times the index value is 0, and x1 is the statistical number of times the index value is 1.

[0085] In step S33, it is determined whether the statistical number ratio is greater than or equal to a preset threshold;

[0086] In step S34, when it is determined that the statistical number ratio is greater than or equal to the threshold, the indicator value corresponding to the time period is determined to be 0;

[0087] In step S35, when it is determined that the statistical number ratio is less than the threshold, the indicator value corresponding to the time period is determined to be 1.

[0088] On the other hand, the present invention also provides a system for performance inspection based on power grid production risk management, the system comprising a processor, the processor being configured to execute any of the above methods. The method may include the following steps:

[0089] In step S10, a hierarchical model for duty performance supervision is constructed;

[0090] In step S11, the AHP algorithm is used to determine the weight of each indicator in the hierarchical model;

[0091] In step S12, a comprehensive score of each production item is calculated according to the weight;

[0092] In step S13, the work acceptance status of the production project is determined based on the comprehensive score.

[0093] In this Figure 1 In the method shown, step S10 can be to construct a hierarchical model for performance supervision. The specific content of the hierarchical model can be in various forms known to those skilled in the art. In one example of the present invention, taking into account the content of the performance supervision involved in this application, when generating the hierarchical model, the generation of a comprehensive score can be used as the target layer of the hierarchical model, and the preset first indicator, second indicator, third indicator, fourth indicator, fifth indicator and sixth indicator can be used as the criterion layer of the hierarchical model. Among them, the first indicator is used to indicate whether the leading cadres and professional managers have fulfilled their duties, the second indicator is used to indicate whether the leading cadres and professional managers are in place on time, the third indicator is used to indicate whether there are problems or omissions in the supervision of the leading cadres and professional managers, the fourth indicator is used to indicate whether the supervision unit, the supervision project department and the supervision personnel have fulfilled their duties, the fifth indicator is used to indicate whether the person in charge of the work and the dedicated guardian are on site, and the sixth indicator is used to indicate whether the operating personnel are clear about the work tasks and danger points. Finally, the inspection data of the production project to be scored is used as the solution layer of the hierarchical model. The generated hierarchical model can be as follows Figure 2 shown.

[0094] Step S11 can be used to determine the weights of various indicators in the hierarchical model using the AHP algorithm. The AHP algorithm can be in various forms known to those skilled in the art. In one example of the present invention, the AHP algorithm can include: Figure 3 In the method shown in Figure 3 In the AHP algorithm, the following steps can be included:

[0095] In step S20, a judgment matrix is ​​constructed;

[0096] In step S21, a weight vector is calculated according to the judgment matrix;

[0097] In step S22, a consistency check operation is performed according to the weight vector;

[0098] In step S23, it is determined whether the consistency check operation is passed. Specifically, in this example, step 23 may be to first calculate the maximum characteristic root according to formula (1),

[0099]

[0100] Among them, λ max is the largest characteristic root, n is the order of the judgment matrix, (AW) i is the standardized i-th weight, W i is the i-th weight before normalization.

[0101] Then the consistency index is calculated according to formula (2):

[0102]

[0103] Among them, CI is the consistency index.

[0104] Then calculate the test value according to formula (3):

[0105]

[0106] Among them, CR is the test value, and Ri is the random consistency index obtained by looking up the table;

[0107] Finally, it is determined whether the test value is less than a preset value. If the test value is less than the preset value, it is determined that the consistency check operation has passed; otherwise, if the test value is greater than or equal to the preset value, it is determined that the consistency check operation has not passed.

[0108] In step S24, if the consistency check operation fails, the judgment matrix is ​​adjusted, and the step of calculating the weight vector according to the judgment matrix is ​​returned to execute, that is, the step S21 is returned to execute;

[0109] In step S25, when it is determined that the consistency check operation has passed, the weight is determined according to the weight vector.

[0110] Step S12 can be used to calculate the comprehensive score of each production project according to the weight. Considering the huge amount of data of the indicators corresponding to each weight, it is difficult to calculate the comprehensive score directly by traversing all the data. Therefore, in one example of the present invention, step S12 can also include the following: Figure 4 In the method shown in Figure 4 In the step S12, the step S12 may further include the following steps:

[0111] In step S30, the index value of the production project on the corresponding index is counted in units of preset time length, wherein the index value is 0 or 1. If the production project does not meet the production requirements of the corresponding index, the index value is 0, and if the production project meets the production requirements of the corresponding index, the index value is 1. In one example of the present invention, taking the first indicator used to indicate whether leading cadres and professional managers have fulfilled their duties on the job as an example, at a 10kV line pole erection site, the safety inspection center video found that the crane support was removed before the pole was compacted, and the on-duty personnel did not stop it on the spot, which posed a great risk of pole collapse. Figure 5 As shown. This behavior violates the "Notice of the State Grid Safety Supervision Department on Printing and Distributing the Interpretation of Serious Violations" (Safety Supervision No. 2

[2022] 33) List of Serious Violations [Article 102] Leading cadres and professional management personnel failed to perform their duties in place, relevant personnel should be in place but are not, should check but do not, and serious violations still exist on site after they are in place. At this time, the indicator value corresponding to the first indicator can be set to 0. In another example of the present invention, taking the second indicator used to indicate whether leading cadres and professional management personnel are in place on time as an example, at a 10kV line reconstruction project operation site, the transformer crossarm is being installed on site, but the person in charge of the work is not on site. Figure 6 Violation of the "Notice of the State Grid Safety Supervision Department on Issuing the Interpretation of Serious Violations" (Safety Supervision No. 2

[2022] 33) List of Serious Violations [Article 5] The person in charge of the work (operation supervisor, dedicated guardian) is not on site, or the labor subcontractor serves as the person in charge of the work (operation supervisor).

[0112] In step S31, the statistical number of times the index value is 0 and 1 in each time period is determined;

[0113] In step S32, the statistical number ratio of which the index value is 0 is calculated. Specifically, in this example, the statistical number ratio can be calculated using the following formula (4):

[0114]

[0115] Among them, θ is the proportion of statistical times, z0 is the statistical number of times the index value is 0, and x1 is the statistical number of times the index value is 1.

[0116] In step S33, it is determined whether the statistical number ratio is greater than or equal to a preset threshold;

[0117] In step S34, when it is determined that the statistical number ratio is greater than or equal to the threshold, the indicator value corresponding to the time period is determined to be 0;

[0118] In step S35, when it is determined that the statistical number ratio is less than the threshold, the indicator value corresponding to the time period is determined to be 1.

[0119] Through the above technical solution, the embodiment of the present invention provides a method and system for performance inspection based on power grid production risk control. The method and system weight each index of the performance inspection of power grid production projects by using the AHP algorithm, thereby obtaining a comprehensive score after the performance inspection of the production project, and finally determining the work acceptance of the production project based on the comprehensive score. Compared with the prior art, the method and system provided by the present invention replace the human subjective scoring method, and improve the accuracy of project inspection and acceptance evaluation.

[0120] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes 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 generate 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.

[0122] 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.

[0123] 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.

[0124] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0125] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0126] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0127] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0128] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for performance inspection based on power grid production risk management and control, characterized in that: The method comprises: Construct a hierarchical model for performance supervision; The AHP algorithm is used to determine the weight of each indicator in the hierarchical structure model; Calculate a comprehensive score for each production item based on the weights; The work acceptance status of the production project is determined based on the comprehensive score.

2. The method according to claim 1, characterized in that Construct a hierarchical model for performance supervision, including: Generating a comprehensive score as the target layer of the hierarchical model; The preset first indicator, second indicator, third indicator, fourth indicator, fifth indicator and sixth indicator are used as the criterion layer of the hierarchical structure model, wherein the first indicator is used to indicate whether the leading cadres and professional management personnel have fulfilled their duties in place, the second indicator is used to indicate whether the leading cadres and professional management personnel are in place on time, the third indicator is used to indicate whether the leading cadres and professional management personnel have any problems or omissions, the fourth indicator is used to indicate whether the supervision unit, the supervision project department and the supervision personnel have fulfilled their responsibilities, the fifth indicator is used to indicate whether the person in charge of the work and the dedicated guardian are on site, and the sixth indicator is used to indicate whether the operating personnel are clear about the work tasks and danger points; The inspection data of the production project to be scored is used as the solution layer of the hierarchical model.

3. The method according to claim 1, characterized in that The AHP algorithm is used to determine the weight of each indicator in the hierarchical model, including: Construct a judgment matrix; Calculate a weight vector according to the judgment matrix; Performing a consistency check operation according to the weight vector; Determine whether the consistency check operation passes; If it is determined that the consistency check operation fails, adjusting the judgment matrix, and returning to the step of calculating the weight vector according to the judgment matrix; In case it is determined that the consistency check operation passes, the weight is determined according to the weight vector.

4. The method according to claim 3, characterized in that Determining whether the consistency check operation passes includes: According to formula (1), the maximum characteristic root is calculated. Among them, λ max is the maximum characteristic root, n is the order of the judgment matrix, (AW) i is the standardized i-th weight, Q i is the i-th weight before normalization.

5. The method according to claim 4, characterized in that Determining whether the consistency check operation passes includes: According to formula (2), the consistency index is calculated: Wherein, CI is the consistency index.

6. The method according to claim 5, characterized in that Determining whether the consistency check operation passes includes: The test value is calculated according to formula (3): Wherein, CR is the test value, and RI is the random consistency index obtained by looking up the table; Determining whether the test value is less than a preset value; In the case where it is determined that the check value is less than the preset value, determining that the consistency check operation is passed; In the case where it is determined that the check value is greater than or equal to the preset value, it is determined that the consistency check operation has failed.

7. The method according to claim 1, characterized in that The comprehensive score of each production staff is calculated according to the weights, including: Taking a preset time length as a unit, the index value of the production project on the corresponding index is counted, wherein the index value is 0 or 1. If the production project does not meet the production requirements of the corresponding index, the index value is 0, and if the production project meets the production requirements of the corresponding index, the index value is 1; Determine the statistical number of times the indicator value is 0 and 1 in each time period; Calculate the percentage of the number of times the indicator value is 0; Determine whether the statistical number ratio is greater than or equal to a preset threshold; When it is determined that the statistical number ratio is greater than or equal to the threshold, the indicator value corresponding to the time period is determined to be 0; When it is determined that the statistical number ratio is less than the threshold value, the indicator value corresponding to the time period is determined to be 1.

8. The method according to claim 7, characterized in that Calculating the statistical number of times that the indicator value is 0 includes: The statistical frequency ratio is calculated according to formula (4): Among them, θ is the proportion of the statistical times, x0 is the statistical times when the index value is 0, and x1 is the statistical times when the index value is 1.

9. A system for performance inspection based on power grid production risk management, characterized in that: The system comprises a processor configured to execute the method according to any one of claims 1 to 8.

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