Risk assessment accuracy verification method, device and equipment for substation operation

Abstract

The application provides a risk assessment accuracy verification method, device and equipment for substation operation, and relates to the technical field of operation risk management and control. The method comprises the following steps: obtaining a risk assessment value of an archived substation operation, wherein the risk assessment value is calculated according to a pre-prepared risk assessment rule. Then, the risk assessment rule is added to a target risk quality detection system, and the risk assessment of the substation operation is re-performed based on the target risk quality detection system to obtain a risk prediction value of the substation operation. Further, the risk prediction value is compared with the risk assessment value to verify the accuracy of the risk assessment value. If the risk prediction value is greater than or equal to the risk assessment value, it is determined that the risk assessment value does not pass the accuracy verification. The application can comprehensively verify the accuracy of the risk assessment of the substation operation and improve the efficiency of the accuracy verification.

Description

Technical Field

[0001] This application relates to the field of operational risk management technology, and in particular to a method, apparatus and equipment for verifying the accuracy of risk assessment for substation operations. Background Technology

[0002] Substations present a complex and diverse working environment with numerous potential hazards. Before commencing work at a substation, personnel must conduct a risk assessment to identify potential safety risks and ensure the safety of personnel, the power grid, and equipment. Given that risk assessments conducted by personnel at substations can easily become inadequate, it is necessary to verify the accuracy of these assessments.

[0003] Due to the sheer volume of substation operations, the accuracy verification of existing risk assessments primarily relies on manual sampling. Sampling personnel, following a pre-designed sampling strategy and frequency, select a certain number of samples from all risk assessments at predetermined time points and conduct detailed examinations of these samples to verify their accuracy.

[0004] However, existing technologies have limited coverage, making it impossible to fully identify inaccurate risk assessments, and the verification of the accuracy of risk assessments is inefficient. Summary of the Invention

[0005] This application provides a method, apparatus, and equipment for verifying the accuracy of risk assessments for substation operations, in order to solve the technical problems that existing technologies cannot comprehensively detect inaccurate risk assessments and have low efficiency in verifying the accuracy of risk assessments.

[0006] Firstly, this application provides a method for verifying the accuracy of risk assessment for substation operations, including:

[0007] Obtain the risk assessment value of the archived substation operation; wherein the risk assessment value is a quantitative representation of the risk level of the substation operation and is calculated according to the pre-established risk assessment rules;

[0008] The risk assessment rules are added to the target risk quality detection system. Based on the target risk quality detection system, the substation operation is reassessed to obtain the risk prediction value of the substation operation.

[0009] The predicted risk value is compared with the assessed risk value to verify the accuracy of the assessed risk value;

[0010] If the predicted risk value is greater than or equal to the assessed risk value, then the assessed risk value is determined to have failed the accuracy verification.

[0011] In one possible design, the step of re-evaluating the risk of the substation operation based on the target risk quality detection system to obtain a predicted risk value for the substation operation includes:

[0012] The risk assessment rules include the risk assessment factors; based on the target risk quality detection system, the factor risk values ​​of the risk assessment factors are predicted; wherein, the risk assessment rules include multiple risk assessment factors.

[0013] Based on the aforementioned factor risk values, the predicted risk value for the substation operation is determined.

[0014] In one possible design, predicting the factor risk value of the risk assessment factor based on the target risk quality detection system includes:

[0015] The core data for the substation operation are determined based on preset requirements;

[0016] Analyze the correlation between the core data and the risk assessment factors, and define matching rules based on the analysis results; wherein the matching rules indicate the degree of influence of the core data on the risk assessment factors;

[0017] Based on the matching rules, the factor risk value of the risk assessment factor is predicted through the target risk quality detection system.

[0018] In one possible design, predicting the factor risk value of the risk assessment factor using the target risk quality detection system according to the matching rule includes:

[0019] A matching rule library is constructed based on the matching rules; the matching rule library is added to the data processing tool of the target risk quality detection system;

[0020] The core data is input into the data processing tool, and the factor risk value of the risk assessment factor is calculated based on the data processing tool.

[0021] In one possible design, determining the predicted risk value of the substation operation based on the factor risk value includes:

[0022] The risk values ​​of the factors are accumulated, and the accumulated result is determined as the operation risk value of each individual operation included in the substation operation; wherein, the substation operation includes multiple individual operations;

[0023] The operational risk values ​​are accumulated, and the accumulated result is determined as the predicted risk value for the substation operation.

[0024] In one possible design, the method further includes:

[0025] Substation operations corresponding to risk assessment values ​​that fail the accuracy verification are identified as abnormal operations; the abnormal operations and their risk assessment values ​​are sent to the target operation and maintenance expert.

[0026] Obtain the expert verification result returned by the target operation and maintenance expert; if the expert verification result indicates that the risk assessment value of the abnormal operation is inaccurate, send a target rectification order to the person in charge of the abnormal operation; wherein, the expert verification result includes whether the risk assessment value is accurate or inaccurate.

[0027] In one possible design, if the expert verification result indicates that the risk assessment value of the abnormal operation is accurate, the method further includes:

[0028] The data processing tools and / or matching rule base in the target risk quality detection system are optimized until the difference between the risk prediction value and the risk assessment value is less than a preset threshold.

[0029] Secondly, this application provides a risk assessment accuracy verification device for substation operations, comprising:

[0030] The acquisition module is used to acquire the risk assessment values ​​of archived substation operations; wherein the risk assessment values ​​are a quantitative representation of the risk level of the substation operations and are calculated according to pre-defined risk assessment rules.

[0031] The assessment module is used to add the risk assessment rules to the target risk quality detection system, and based on the target risk quality detection system, reassess the risk of the substation operation to obtain the risk prediction value of the substation operation;

[0032] The verification module is used to compare the predicted risk value with the assessed risk value to verify the accuracy of the assessed risk value.

[0033] The determination module is used to determine that the risk assessment value has not passed the accuracy verification if the predicted risk value is greater than or equal to the risk assessment value.

[0034] In one possible design, the determining module is further configured to determine the risk assessment factors included in the risk assessment rule;

[0035] The assessment module further includes: a prediction module, used to predict the factor risk value of the risk assessment factor based on the target risk quality detection system; wherein the risk assessment rule includes multiple risk assessment factors;

[0036] The determining module is also used to determine the risk prediction value of the substation operation based on the factor risk value.

[0037] In one possible design, the determining module is also used to determine the core data of the substation operation based on preset requirements;

[0038] The prediction module further includes an analysis module, used to analyze the correlation between the core data and the risk assessment factor, and define matching rules based on the analysis results; wherein the matching rules indicate the degree of influence of the core data on the risk assessment factor;

[0039] The prediction module is further configured to predict the factor risk value of the risk assessment factor based on the matching rules and through the target risk quality detection system.

[0040] In one possible design, the prediction module further includes: a construction module, an addition module, an input module, and a calculation module.

[0041] The construction module is used to construct a matching rule library based on the matching rules;

[0042] The adding module is used to add the matching rule base to the data processing tool of the target risk quality detection system;

[0043] The input module is used to input the core data into the data processing tool;

[0044] The calculation module is used to calculate the factor risk value of the risk assessment factor based on the data processing tool.

[0045] In one possible design, the determining module is further configured to:

[0046] The risk values ​​of the factors are accumulated, and the accumulated result is determined as the operation risk value of each individual operation included in the substation operation; wherein, the substation operation includes multiple individual operations;

[0047] The operational risk values ​​are accumulated, and the accumulated result is determined as the predicted risk value for the substation operation.

[0048] In one possible design, the determining module is further configured to determine the substation operation corresponding to the risk assessment value that has not passed the accuracy verification as an abnormal operation;

[0049] The risk assessment accuracy verification device for substation operations further includes: a sending module, used to send the abnormal operation and the risk assessment value of the abnormal operation to the target operation and maintenance expert;

[0050] The acquisition module is also used to acquire the expert verification result returned by the target operation and maintenance expert;

[0051] The sending module is further configured to send a target rectification order to the person in charge of the abnormal operation if the expert verification result indicates that the risk assessment value of the abnormal operation is inaccurate; wherein the expert verification result includes whether the risk assessment value is accurate or inaccurate.

[0052] In one possible design, the risk assessment accuracy verification device for substation operations further includes: an optimization module, used to optimize the data processing tools and / or matching rule base in the target risk quality detection system if the expert verification result indicates that the risk assessment value of the abnormal operation is accurate, until the difference between the risk prediction value and the risk assessment value is less than a preset threshold.

[0053] Thirdly, this application provides an electronic device comprising: at least one processor and a memory; the memory storing computer-executable instructions; the at least one processor executing the computer-executable instructions stored in the memory, causing the at least one processor to perform the method described in the first aspect above and various possible designs.

[0054] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the methods described in the first aspect above and various possible designs.

[0055] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the methods described in the first aspect above and various possible designs.

[0056] This application provides a method, apparatus, and equipment for verifying the accuracy of risk assessments for substation operations. The method acquires archived risk assessment values ​​for substation operations, which are calculated according to pre-defined risk assessment rules. These rules are then added to a target risk quality detection system, and the substation operations are reassessed based on this system to obtain predicted risk values. Further, the predicted risk values ​​are compared with the assessed risk values ​​to verify their accuracy. If the predicted risk value is greater than or equal to the assessed risk value, the risk assessment value is deemed to have failed the accuracy verification. The target risk quality detection system employs digital technology, enabling the processing and analysis of large amounts of data. Furthermore, its automated processes allow for the rapid execution of complex calculations and analyses without human intervention. Therefore, the target risk quality detection system can verify the accuracy of risk assessments for all substation operations, achieving comprehensive accuracy verification while improving its efficiency. Attached Figure Description

[0057] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0058] Figure 1 A flowchart illustrating the method for verifying the accuracy of risk assessment for substation operations provided in this application embodiment. Figure 1 ;

[0059] Figure 2 A flowchart illustrating the method for verifying the accuracy of risk assessment for substation operations provided in this application embodiment. Figure 2 ;

[0060] Figure 3 A schematic diagram of the structure of the risk assessment accuracy verification device for substation operations provided in the embodiments of this application;

[0061] Figure 4 This is a hardware structure diagram of the electronic device provided in the embodiments of this application.

[0062] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0063] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0064] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0065] In this application, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0066] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with relevant laws, regulations and standards, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0067] Substations are key nodes in the power system, responsible for voltage conversion and power distribution. Substations typically contain a large number of electrical devices and complex circuit systems, such as transformers, high-voltage switches, and control equipment.

[0068] Because substations involve high-voltage electricity and large currents, they present various potential hazards. Before any maintenance, repair, or operation work, personnel must conduct a risk assessment. The purpose of a risk assessment is to identify and analyze various risk factors that may affect safety, in order to detect potential safety hazards in advance.

[0069] Workers can conduct risk assessments for substation operations through verbal instructions or by selecting risk factors online. Regardless of the method used, due to insufficient experience, limited knowledge, subjective biases, or other factors, some risks may go unidentified or be underestimated during the risk assessment. This inadequate assessment may result in potential safety hazards not being detected in a timely manner.

[0070] To ensure the effectiveness and reliability of risk assessments, it is necessary to verify their accuracy. Current methods for verifying the accuracy of risk assessments primarily rely on manual verification. However, with the increasing number of substation operations, the difficulty of manually verifying the accuracy of risk assessments is also increasing.

[0071] For example, a power supply bureau's substation department has 2,000 production-related operations in a month, including inspections, maintenance, operation, repairs, scheduled maintenance, and defect elimination. Verifying the accuracy of the risk assessment for each operation takes at least 30 seconds. If the substation department wants to conduct a comprehensive review of the risk assessment of the month's operation plan, it will take at least 2,000 × 30 seconds = 16.67 hours.

[0072] Therefore, due to the sheer number of substation operations, the accuracy of risk assessments is currently verified primarily through manual sampling. Sampling personnel, following a pre-designed sampling strategy and frequency, select a certain number of samples from all risk assessments at predetermined time points and conduct a detailed examination of these samples to verify their accuracy.

[0073] Manual spot checks only cover risk assessments for some critical operations, and many risk assessments may go completely unchecked. This limited coverage may lead to some errors or omissions being overlooked, making it impossible to fully identify and correct all inaccurate risk assessments. Furthermore, manual spot checks are extremely time-consuming and labor-intensive, especially when dealing with a large volume of risk assessments, making them inefficient.

[0074] To address the aforementioned technical problems, the inventors considered that human intervention should be minimized during the accuracy verification process of risk assessments. Therefore, the inventors developed an automated risk quality detection system to verify the accuracy of archived risk assessments. This system automatically analyzes risk assessments using pre-set algorithms and rules, reducing reliance on manual intervention. The risk quality monitoring system allows for the analysis of all archived risk assessments, rather than just a sample, and can rapidly process large amounts of data, significantly improving the efficiency of accuracy verification.

[0075] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0076] This application provides a method for verifying the accuracy of risk assessment for substation operations. Figure 1 A flowchart illustrating the method for verifying the accuracy of risk assessment for substation operations provided in this application embodiment. Figure 1 ,like Figure 1 As shown, this method for verifying the accuracy of risk assessment for substation operations includes:

[0077] S101. Obtain the risk assessment values ​​of archived substation operations.

[0078] The risk assessment value is a quantitative representation of the risk level of substation operations and is calculated according to pre-established risk assessment rules. This may involve mathematical calculations, logical reasoning, or the use of specialized software tools.

[0079] Understandably, risk assessment rules should consider various risk factors in substation operations, such as equipment failure, operational errors, and environmental factors.

[0080] S102. Add the risk assessment rules to the target risk quality detection system. Based on the target risk quality detection system, reassess the risk of substation operations to obtain the risk prediction value of substation operations.

[0081] Specifically, after identifying the risk assessment factors included in the risk assessment rules and adding these rules to the target risk quality detection system, the factor risk values ​​of the risk assessment factors can be predicted based on the target risk quality detection system. Then, based on the risk factor values, the predicted risk values ​​for substation operations can be determined.

[0082] Interpretive risk assessment rules typically include multiple risk assessment factors to comprehensively evaluate the potential risks of substation operations. These risk assessment factors are the specific factors or variables used to measure and analyze potential risks during the risk assessment process; each risk assessment factor represents a specific source of risk or influencing factor. Risk assessment factors usually cover multiple aspects, such as technology, personnel, and environment.

[0083] In a specific example, the risk assessment rules include four risk assessment factors: job type risk value, operator competence risk value, work environment and time period risk value, and custom risk value.

[0084] The risk value assessment of work type is based on the inherent risk of each type of substation work, which can be determined from a pre-created baseline work type risk database. It should be noted that this baseline work type risk database is a comprehensive database covering various work types and their corresponding risk values. Because the risks of some work types may change, the baseline work type risk database needs to be updated periodically.

[0085] The risk value assessment of operator competence includes the competence and experience level of operators, including the familiarity of the person in charge of the operation, key operators, and supervisors with similar types of operations (such as the frequency of operation), violations, and other skill and experience dimensions, as well as the number of operators, temporary changes, and operator status dimensions.

[0086] The risk assessment of the work environment and time period includes the physical conditions of the work environment and the risks of the work time, including work environment dimensions such as weather, work method, work location, work space, geographical location, continuous daily work duration, work nature, and traffic conditions, as well as work time dimension such as the impact of special time periods such as day and night and power supply.

[0087] Custom risk values ​​need to be formulated based on preset requirements. For example, considering the correlation between substation operations and power grid risks, substation operations may cause a failure in a certain piece of equipment in the substation, and this equipment involves power grid risks. Once this equipment fails, a large-scale power outage will occur, so an appropriate risk value needs to be added during the assessment.

[0088] It should be noted that, based on the target risk quality detection system, the factor risk values ​​of risk assessment factors are predicted through the following process:

[0089] Step a1: Determine the core data for substation operations based on preset requirements.

[0090] Explanatory core data for substation operations mainly includes operation category, operation location, operation content, risk level, risk assessment value, operation type, time information, operator information, and other core operation data to be developed.

[0091] The work categories include operation, inspection, maintenance, acceptance, overhaul, pre-testing, and scheduled maintenance. The work location refers to a specific substation, and the work content refers to the work name. Risk levels include acceptable, low risk, medium risk, high risk, and extremely high risk.

[0092] The risk assessment value determines the risk level. For example, a risk assessment value < 20 indicates an acceptable risk level; 20 ≤ risk assessment value < 70 indicates a low risk level; 70 ≤ risk assessment value < 200 indicates a medium risk level; 200 ≤ risk assessment value < 400 indicates a high risk level; and a risk assessment value ≥ 400 indicates an extremely high risk level. It should be understood that when the risk level is acceptable, control measures can be tolerated; when the risk level is low, control measures can be monitored; when the risk level is medium, control measures can be corrective; when the risk level is high, control measures can be implemented immediately; and when the risk level is extremely high, control measures may be considered for abandonment or cessation.

[0093] The types of work include planned and temporary tasks. Time information includes actual start time, actual end time, start time, and interruption time. Personnel information includes the person in charge of the work, supervisor, workers, total number of workers, and any changes in workers.

[0094] Step a2: Analyze the correlation between core data and risk assessment factors, and define matching rules based on the analysis results.

[0095] Understandably, the core data of substation operations is often associated with risk assessment factors in risk assessment rules. For example, the risk value of operation type is associated with the operation category and content in the core data; the risk value of operator capability is associated with the operator information in the core data; and the risk value of operation environment and time period is associated with the operation location, content, and time information in the core data. Custom risk values ​​need to comprehensively consider relevant information of substation operations and may also be associated with information from other operations.

[0096] Explanatory, related other operations refer to multiple operations carried out simultaneously by multiple work teams within the same power outage area and time period.

[0097] Step a3: Based on the matching rules, predict the factor risk value of the risk assessment factor through the target risk quality detection system.

[0098] Specifically, a matching rule base is built based on matching rules, and this matching rule base is added to the data processing tools (such as tables, programming, etc.) in the target risk quality detection system. Then, the core data of substation operations is input into the data processing tool, which can then be used to calculate the factor risk values ​​of risk assessment factors.

[0099] Furthermore, after obtaining the factor risk values ​​of the risk assessment factors, the factor risk values ​​are accumulated, and the accumulated result is determined as the operation risk value of each individual operation included in the substation operation. That is, the operation risk value of an individual operation = operation type risk value + operator capability risk value + operation environment and time period risk value + custom risk value.

[0100] Since substation operations consist of multiple individual tasks, the risk prediction value for the entire substation operation can be obtained by summing the risk values ​​of each individual task.

[0101] S103. Compare the predicted risk value with the assessed risk value to verify the accuracy of the assessed risk value.

[0102] S104. If the predicted risk value is greater than or equal to the risk assessment value, then the risk assessment value has failed the accuracy verification.

[0103] Understandably, substation operations corresponding to risk assessment values ​​that fail accuracy verification should be considered abnormal operations. These abnormal operations, along with their risk assessment values, need to be sent to the target maintenance experts. The target maintenance experts will then re-verify the accuracy of the risk assessment values ​​and return the expert verification results to the target risk quality monitoring system. The expert verification results will indicate whether the risk assessment value is accurate or inaccurate.

[0104] If the expert verification results indicate that the risk assessment value of the abnormal operation is inaccurate, a target rectification order is sent to the person in charge of the abnormal operation. If the expert verification results indicate that the risk assessment value of the abnormal operation is accurate, the data processing tools and / or matching rule base in the target risk quality detection system are optimized until the difference between the risk prediction value and the risk assessment value is less than a preset threshold.

[0105] It should be noted that both the risk assessment value and the risk prediction value are derived by summing the four risk assessment factors included in the risk assessment rules. Comparing the risk prediction value and the risk assessment value can be done by comparing the summed risk prediction value with the risk assessment value, or by comparing the factor risk values ​​of each of the four risk assessment factors separately; no specific limitation is made here.

[0106] In one possible implementation, Figure 2 A flowchart illustrating the method for verifying the accuracy of risk assessment for substation operations provided in this application embodiment. Figure 2 .like Figure 2 As shown, if the factor risk values ​​of the four risk assessment factors are compared separately, the overall process of this method for verifying the accuracy of risk assessment for substation operations is as follows:

[0107] S201. Determine the risk assessment rules used for risk assessment of substation operations;

[0108] S202. Determine the core data for substation operations;

[0109] S203. Based on the relationship between the four risk assessment factors included in the risk assessment rules and the core data, construct a matching rule base;

[0110] The four risk assessment factors are: job type risk value, operator capability risk value, job environment and time period risk value, and custom risk value.

[0111] S204. Add the matching rule base to the target risk quality detection system, and obtain the risk prediction value of substation operation through the target risk quality detection system;

[0112] S205. Obtain the archived risk assessment values ​​for substation operations;

[0113] The risk assessment value is also calculated according to the risk assessment rules.

[0114] S206. Compare the risk prediction value with the risk assessment value.

[0115] Specifically, S206 includes: (1) comparing the job type risk value corresponding to the risk prediction value with the job type risk value corresponding to the risk assessment value; (2) comparing the operator capability risk value corresponding to the risk prediction value with the operator capability risk value corresponding to the risk assessment value; (3) comparing the job environment and time period risk value corresponding to the risk prediction value with the job environment and time period risk value corresponding to the risk assessment value; and (4) comparing the custom risk value corresponding to the risk prediction value with the custom risk value corresponding to the risk assessment value.

[0116] S207. Substation operations corresponding to risk assessment values ​​that are less than the risk prediction values ​​are identified as abnormal operations, and the abnormal operations are sent to the target operation and maintenance experts.

[0117] S208. Obtain the expert verification results returned by the target operation and maintenance expert;

[0118] If the expert verification results indicate that the risk assessment value of the abnormal operation is inaccurate, then proceed to S209; if the expert verification results indicate that the risk assessment value of the abnormal operation is accurate, then proceed to S210.

[0119] S209. Send a target rectification order to the person in charge of the abnormal operation;

[0120] S210. Analyze the difference between the risk prediction value and the risk assessment value, and determine whether to optimize the matching rule base;

[0121] If yes, return to S203; otherwise, end the process.

[0122] This application provides a method for verifying the accuracy of risk assessment for substation operations. The method obtains archived risk assessment values ​​for substation operations, calculated according to pre-defined risk assessment rules. These rules are then added to a target risk quality monitoring system, and the risk assessment factors and core data of the substation operations included in the rules are determined. By analyzing the correlation between the core data and the risk assessment factors, corresponding matching rules are defined, and a matching rule library is constructed. Next, the matching rule library is added to a data processing tool within the target risk quality monitoring system, and the core data is input into the tool. The tool then calculates the factor risk values ​​of the risk assessment factors. By linking the core data of substation operations with risk assessment factors, targeted risk assessments of substation operations can be performed. Simultaneously, the matching logic of the matching rule library optimizes the data processing tool, enabling digital and intelligent prediction of substation operation risk assessments. Furthermore, based on the factor risk values, the predicted risk value of the substation operation can be determined. The predicted risk value is then compared with the risk assessment value to verify the accuracy of the risk assessment. If the predicted risk value is greater than or equal to the assessed risk value, the assessed risk value is determined to have failed accuracy verification. The target risk quality detection system employs digital technology, enabling it to process and analyze large amounts of data. Simultaneously, its automated processes allow it to quickly execute complex calculations and analyses without human intervention. Therefore, the target risk quality detection system can verify the accuracy of risk assessments for all substation operations, achieving comprehensive accuracy verification while improving its efficiency.

[0123] Figure 3 This is a schematic diagram of the structure of the risk assessment accuracy verification device for substation operations provided in the embodiments of this application, as shown below. Figure 3 As shown, the risk assessment accuracy verification device 300 for substation operations includes: an acquisition module 301, an assessment module 302, a verification module 303, and a determination module 304.

[0124] The acquisition module 301 is used to acquire the risk assessment values ​​of archived substation operations; wherein the risk assessment values ​​are a quantitative representation of the risk level of the substation operations and are calculated according to pre-established risk assessment rules.

[0125] The assessment module 302 is used to add risk assessment rules to the target risk quality detection system, and reassess the substation operation based on the target risk quality detection system to obtain the risk prediction value of the substation operation;

[0126] The verification module 303 is used to compare the risk prediction value with the risk assessment value in order to verify the accuracy of the risk assessment value;

[0127] The determination module 304 is used to determine that the risk assessment value has not passed the accuracy verification if the risk prediction value is greater than or equal to the risk assessment value.

[0128] In one possible design, module 304 is also used to determine the risk assessment factors included in the risk assessment rules;

[0129] The assessment module 302 further includes a prediction module 305, used to predict the factor risk value of the risk assessment factor based on the target risk quality detection system; wherein the risk assessment rule includes multiple risk assessment factors;

[0130] Module 304 is also used to determine the risk prediction value of substation operations based on factor risk values.

[0131] In one possible design, module 304 is also used to determine the core data of substation operations based on preset requirements;

[0132] The prediction module 305 also includes an analysis module 306, which is used to analyze the correlation between core data and risk assessment factors, and define matching rules based on the analysis results; wherein, the matching rules indicate the degree of influence of core data on risk assessment factors;

[0133] The prediction module 305 is also used to predict the factor risk value of the risk assessment factor based on the matching rules and the target risk quality detection system.

[0134] In one possible design, the prediction module 305 further includes: a construction module 307, an addition module 308, an input module 309, and a calculation module 310.

[0135] Module 307 is used to build a matching rule library based on matching rules;

[0136] Add module 308, which is used to add the matching rule base to the data processing tool of the target risk quality detection system;

[0137] Input module 309 is used to input core data into the data processing tool;

[0138] The calculation module 310 is used to calculate the factor risk value of risk assessment factors based on data processing tools.

[0139] In one possible design, module 304 is also used for:

[0140] The factor risk values ​​are accumulated, and the accumulated result is determined as the operation risk value of each individual operation included in the substation operation; wherein, the substation operation includes multiple individual operations;

[0141] The risk values ​​of the operation are accumulated, and the accumulated result is determined as the risk prediction value of the substation operation.

[0142] In one possible design, module 304 is also used to identify substation operations corresponding to risk assessment values ​​that have not passed accuracy verification as abnormal operations;

[0143] The risk assessment accuracy verification device 300 for substation operations also includes: a sending module 311, used to send abnormal operations and their risk assessment values ​​to the target operation and maintenance expert;

[0144] The acquisition module 301 is also used to acquire the expert verification results returned by the target operation and maintenance expert;

[0145] The sending module 311 is also used to send a target rectification order to the person in charge of the abnormal operation if the expert verification result indicates that the risk assessment value of the abnormal operation is inaccurate; wherein, the expert verification result includes whether the risk assessment value is accurate or inaccurate.

[0146] In one possible design, the risk assessment accuracy verification device 300 for substation operations further includes an optimization module 312, which optimizes the data processing tools and / or matching rule base in the target risk quality detection system if the expert verification result indicates that the risk assessment value of the abnormal operation is accurate, until the difference between the risk prediction value and the risk assessment value is less than a preset threshold.

[0147] The risk assessment accuracy verification device for substation operations provided in this application can be used to execute the risk assessment accuracy verification method for substation operations in any of the above embodiments. Its implementation principle and technical effect are similar, and will not be described again here.

[0148] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware. Additionally, these modules can be fully or partially integrated together, or implemented independently. The processing element mentioned here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed through the integrated logic circuits in the hardware of the processor element or through software instructions.

[0149] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device may include: transceiver 41, processor 42, and memory 43.

[0150] Processor 42 executes computer execution instructions stored in memory, causing processor 42 to perform the scheme in the above embodiments. Processor 42 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0151] The memory 43 is connected to the processor 42 via the system bus and completes communication between them. The memory 43 is used to store computer program instructions.

[0152] Transceiver 41 can be used to communicate and interact with other devices.

[0153] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.

[0154] The electronic device provided in this application embodiment can be used to execute the method provided in any of the above embodiments. Its implementation principle and technical effect are similar, and will not be described again here.

[0155] This application also provides a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the methods provided in any of the above embodiments.

[0156] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when the at least one processor executes the computer program, it can implement the method provided in any of the above embodiments.

[0157] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0158] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to implement the solution of this embodiment according to actual needs.

[0159] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The unit composed of the above modules can be implemented in hardware or in the form of hardware plus software functional units.

[0160] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application.

[0161] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as execution by a hardware processor, or execution by a combination of hardware and software modules within the processor.

[0162] The memory may include high-speed RAM, and may also include non-volatile storage (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk or optical disc, etc.

[0163] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0164] The aforementioned storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0165] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. The processor and storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and storage medium can exist as discrete components in an electronic control unit or main control device.

[0166] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0167] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for verifying the accuracy of risk assessment for substation operations, characterized in that, include: Obtain the risk assessment value of the archived substation operation; wherein the risk assessment value is a quantitative representation of the risk level of the substation operation and is calculated according to the pre-established risk assessment rules; The risk assessment rules are added to the target risk quality detection system. Based on the target risk quality detection system, the substation operation is reassessed to obtain the risk prediction value of the substation operation. The predicted risk value is compared with the assessed risk value to verify the accuracy of the assessed risk value; If the predicted risk value is greater than or equal to the assessed risk value, then the assessed risk value is determined to have failed the accuracy verification.

2. The method according to claim 1, characterized in that, The process of re-evaluating the risk of the substation operation based on the target risk quality detection system to obtain the predicted risk value of the substation operation includes: The risk assessment rules include the risk assessment factors; based on the target risk quality detection system, the factor risk values ​​of the risk assessment factors are predicted; wherein, the risk assessment rules include multiple risk assessment factors. Based on the aforementioned factor risk values, the predicted risk value for the substation operation is determined.

3. The method according to claim 2, characterized in that, The prediction of factor risk values ​​for the risk assessment factors based on the target risk quality detection system includes: The core data for the substation operation are determined based on preset requirements; Analyze the correlation between the core data and the risk assessment factors, and define matching rules based on the analysis results; wherein the matching rules indicate the degree of influence of the core data on the risk assessment factors; Based on the matching rules, the factor risk value of the risk assessment factor is predicted through the target risk quality detection system.

4. The method according to claim 3, characterized in that, The step of predicting the factor risk value of the risk assessment factor according to the matching rule and through the target risk quality detection system includes: A matching rule library is constructed based on the matching rules; the matching rule library is added to the data processing tool of the target risk quality detection system; The core data is input into the data processing tool, and the factor risk value of the risk assessment factor is calculated based on the data processing tool.

5. The method according to claim 2, characterized in that, The process of determining the predicted risk value for the substation operation based on the factor risk value includes: The risk values ​​of the factors are accumulated, and the accumulated result is determined as the operation risk value of each individual operation included in the substation operation; wherein, the substation operation includes multiple individual operations; The risk values ​​of the operation are accumulated, and the accumulated result is determined as the risk prediction value of the substation operation.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Substation operations corresponding to risk assessment values ​​that fail the accuracy verification are identified as abnormal operations; the abnormal operations and their risk assessment values ​​are sent to the target operation and maintenance expert. Obtain the expert verification result returned by the target operation and maintenance expert; if the expert verification result indicates that the risk assessment value of the abnormal operation is inaccurate, send a target rectification order to the person in charge of the abnormal operation; wherein, the expert verification result includes whether the risk assessment value is accurate or inaccurate.

7. The method according to claim 6, characterized in that, If the expert verification result indicates that the risk assessment value of the abnormal operation is accurate, the method further includes: The data processing tools and / or matching rule base in the target risk quality detection system are optimized until the difference between the risk prediction value and the risk assessment value is less than a preset threshold.

8. A risk assessment accuracy verification device for substation operations, characterized in that, include: The acquisition module is used to acquire the risk assessment values ​​of archived substation operations; wherein the risk assessment values ​​are a quantitative representation of the risk level of the substation operations and are calculated according to pre-defined risk assessment rules. The assessment module is used to add the risk assessment rules to the target risk quality detection system, and reassess the substation operation based on the target risk quality detection system to obtain the risk prediction value of the substation operation; The verification module is used to compare the predicted risk value with the assessed risk value to verify the accuracy of the assessed risk value. The determination module is used to determine that the risk assessment value has not passed the accuracy verification if the predicted risk value is greater than or equal to the risk assessment value.

9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the risk assessment accuracy verification method for substation operations as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the risk assessment accuracy verification method for substation operations as described in any one of claims 1 to 7.

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