Operation risk assessment error violation identification method and device based on operation plan list, and computer equipment
By comparing the first and second evaluation risk levels of the operation plan sheets in the power grid management system, the operation plan sheets with incorrect risk assessment in the power grid system are identified, and the problem of incorrect risk assessment rating in the power grid system is solved, and the problem of incorrect risk assessment rating in the power grid system is improved. Data accuracy and security.
Patent Information
- Application Number
- CN202411211474.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-30
- Publication Date
- 2024-12-13
- Estimated Expiration
- 2044-08-30
AI Technical Summary
In power grid systems, it is difficult for the prior art to accurately identify risk assessment classification errors in the work plan, resulting in possible economic losses and safety hazards.
By obtaining multiple work plan tickets and work tickets in the power grid management system, extracting pre-selected plan tickets and work tickets based on preset filter conditions, calling the risk assessment rule base to compare the first assessment risk level and the second assessment risk level to determine the difference The work plan is incorrect in risk assessment.
It realizes the rapid and accurate identification of work plan sheets for risk assessment in the power grid management system, reduces the analysis of error causes, improves the accuracy of subsequent work plan sheet data, and avoids potential economic and security risks.
Smart Images

Figure CN119130139A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of risk assessment, and in particular to a method, device and computer equipment for identifying errors and violations in operation risk assessment based on an operation plan. Background Art
[0002] In the existing technology, the management of risk events generally includes three links: risk event monitoring, risk event assessment, and risk event disposal. Among them, the assessment of the severity and impact of the monitored risk events is the basis for the subsequent follow-up disposal of risk events. In addition, the review of information such as risk event monitoring, risk event assessment, and risk event disposal of historical risk events is conducive to avoiding the occurrence of the same risk events in the future, and is also conducive to improving the efficiency of handling the same risk events.
[0003] As the power grid develops more and more rapidly, power equipment has also received much attention. Ignoring a single equipment defect, performing a work in a non-standard manner, etc., may cause a huge chain reaction and cause serious economic losses, so defect management is particularly important for the power grid. Therefore, regarding the accuracy of data records in the work plan and work ticket related to historical risk events in the power grid work, it is particularly important for subsequent reflection on related risk events and the avoidance of related risk events.
[0004] Therefore, with respect to the operation plan in the power grid system, it is urgent to provide a method that can identify whether there are errors in the risk assessment classification in the operation plan. Summary of the invention
[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for identifying operation risk assessment errors and violations based on operation plans, which can determine operation plans with risk assessment classification errors among multiple operation plans, in response to the above-mentioned technical problems.
[0006] In a first aspect, the present application provides a method for identifying errors and violations in operation risk assessment based on an operation plan, which is applied to a power grid management system, including:
[0007] Acquire multiple work schedules and multiple work tickets in the power grid management system;
[0008] Extract a pre-selected plan sheet from the plurality of work plan sheets based on a preset screening condition, and extract a pre-selected work sheet bound to the pre-selected plan sheet from the plurality of work sheets; extract a target work sheet from the pre-selected work sheets based on a preset type, and determine the pre-selected plan sheet bound to the target work sheet as the work plan sheet with the risk assessment error; wherein the screening condition represents at least one characteristic information displayed in the work plan sheet, and the type represents the type classification to which the work sheet belongs; or,
[0009] Obtain the first assessment risk level included in each of the job plan sheets; call the risk assessment rule library constructed based on the job plan sheets and the work tickets to obtain the second assessment risk level of multiple job plan sheets; when the second assessment risk level corresponding to the same job plan sheet is different from the first assessment risk level, determine that the job plan sheet with the difference is the job plan sheet with risk assessment error.
[0010] In one embodiment, the preset screening conditions include preset operation status, preset profession and preset risk level.
[0011] In one embodiment, the calling of a risk assessment rule base constructed based on the job plan and the work ticket to obtain a second assessment risk level of a plurality of the job plan includes:
[0012] Calling a risk assessment rule base constructed based on the work plan and the work ticket to obtain at least one of the project type risk value, operator capability risk value, and work environment and time impact risk value of each work plan;
[0013] Determine a risk score value of the work plan based on at least one of the project type risk value, the operator capability risk value, and the work environment and time impact risk value of the work plan;
[0014] Based on the preset association relationship between the risk score value and the second assessed risk level, the second assessed risk level of each of the work plans is obtained.
[0015] In one embodiment, it also includes:
[0016] Acquire a first preset mapping relationship between at least one first assessment factor associated with the operator capability risk value, a first assessment result, and a first risk value score;
[0017] Acquire attribute information associated with each of the first assessment factors in the work ticket bound to the work plan, extract historical traffic violation situations corresponding to each of the first assessment factors from a historical traffic violation database based on the attribute information to determine a first assessment result corresponding to each of the first assessment factors, and acquire a first risk value score corresponding to each of the first assessment factors in the first preset mapping relationship based on the determined first assessment result;
[0018] The operator capability risk value is determined based on the first risk value scores corresponding to the first assessment factors.
[0019] In one embodiment, it also includes:
[0020] For at least part of the first assessment factors, the first assessment result corresponding to the first assessment factor is determined based on a preset first assessment rule, and the first risk value score corresponding to the first assessment factor is obtained in the first preset mapping relationship based on the determined first assessment result; wherein the preset first assessment rule represents the association relationship between the preset first assessment factor and the corresponding first assessment result.
[0021] In one embodiment, it also includes:
[0022] Acquire a second preset mapping relationship between at least one second assessment factor associated with the operating environment and time affecting the risk value, a second assessment result, and a second risk value score;
[0023] Extracting historical data corresponding to each second assessment factor from a historical information database based on the operation plan to determine a second assessment result corresponding to each second assessment factor, and obtaining a second risk value score corresponding to each second assessment factor in the second preset mapping relationship based on the determined second assessment result;
[0024] The operating environment and time impact risk values are determined based on the second risk value scores corresponding to the second assessment factors.
[0025] In one embodiment, it also includes:
[0026] For at least part of the second assessment factor, the second assessment result corresponding to the second assessment factor is determined based on a preset second assessment rule, and the second risk value score corresponding to the second assessment factor is obtained in the second preset mapping relationship based on the determined second assessment result; wherein the preset second assessment rule characterizes the association relationship between the preset second assessment factor and the corresponding second assessment result.
[0027] In one embodiment, it also includes:
[0028] Based on the job plan with the determined risk assessment error, a result form is output; wherein the result form includes at least an identification result page, and the identification result page displays at least the job plan, the work ticket bound to the job plan, and the first assessment risk level of the job plan.
[0029] In a second aspect, the present application further provides a device for identifying errors and violations in operation risk assessment based on an operation plan sheet, which is applied to a power grid management system, and the device comprises:
[0030] A data acquisition module, used to acquire multiple operation plans and multiple work tickets in the power grid management system;
[0031] A data processing module, used to extract a pre-selected plan sheet from the multiple work plan sheets based on a preset screening condition, and extract a pre-selected work sheet bound to the pre-selected plan sheet from the multiple work sheets; based on a preset type, extract a target work sheet from the pre-selected work sheets, and determine the pre-selected plan sheet bound to the target work sheet as the work plan sheet with risk assessment errors; wherein the screening condition represents at least one feature information displayed in the work plan sheet, and the type represents the type classification to which the work sheet belongs; or,
[0032] Used to obtain the first assessment risk level included in each of the work plans; call the risk assessment rule library constructed based on the work plan and the work ticket to obtain the second assessment risk level of multiple work plans; when the second assessment risk level corresponding to the same work plan is different from the first assessment risk level, determine that the work plan with the difference is the work plan with risk assessment error.
[0033] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any step in the first aspect when executing the computer program.
[0034] In the above-mentioned method, device and computer equipment for identifying errors and violations in operation risk assessment based on operation plan sheets provided by the present application, the method for identifying errors and violations in operation risk assessment based on operation plan sheets can be applied to power grid management systems, specifically by obtaining multiple operation plan sheets and multiple work tickets in the power grid management system; then, based on preset screening conditions, a pre-selected plan sheet is extracted from the multiple operation plan sheets, and a pre-selected work ticket bound to the pre-selected plan sheet is extracted from the multiple work tickets; based on a preset type, a target work ticket is extracted from the pre-selected work ticket, and the pre-selected plan sheet bound to the target work ticket is determined as a risk assessment error operation plan sheet; wherein the screening condition represents at least one characteristic information displayed in the operation plan sheet, and the type represents the category to which the work ticket belongs. type classification; or, obtaining the first assessment risk level included in each work plan sheet; calling the risk assessment rule base constructed based on the work plan sheet and the work ticket to obtain the second assessment risk level of multiple work plan sheets; when the second assessment risk level and the first assessment risk level corresponding to the same work plan sheet are different, determining the work plan sheet with the difference as the work plan sheet with risk assessment error; thereby realizing the rapid and accurate determination of the work plan sheet with risk assessment error in the power grid management system, which is conducive to the subsequent analysis of the cause of the error of the work plan sheet with risk assessment error, so as to reduce or avoid the problem of subsequent risk assessment error of the work plan sheet, thereby facilitating the improvement of the accuracy of relevant data in the subsequent work plan sheets. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0036] Figure 1 It is an application environment diagram of a method for identifying errors and violations in operation risk assessment based on an operation plan sheet in one embodiment;
[0037] Figure 2 It is a flowchart of a method for identifying errors and violations in operation risk assessment based on an operation plan sheet in one embodiment;
[0038] Figure 3 It is a flowchart of a method for identifying errors and violations in operation risk assessment based on an operation plan in another embodiment;
[0039] Figure 4 This is a schematic diagram of displaying information of risk value details of a work plan in an embodiment;
[0040] Figure 5It is a structural block diagram of a device for identifying errors and violations in operation risk assessment based on an operation plan sheet in one embodiment;
[0041] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0043] The method for identifying errors and violations in operation risk assessment based on the operation plan provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 12 communicates with the server 14 through the network. The data storage system can store the data that the server 14 needs to process. The data storage system can be integrated on the server 14, or it can be placed on the cloud or other internal network servers. For example, multiple job schedules and multiple work tickets in the power grid management system can be stored in the data storage system. Among them, the terminal 12 can be but is not limited to various personal computers, laptops, smart phones, tablet computers, and Internet of Things devices. The server 14 can be an independent physical server, or it can be a server cluster or distributed system composed of multiple physical servers, or it can be a cloud server that provides cloud computing services.
[0044] In an exemplary embodiment, Figure 2 As shown in the figure, a method for identifying errors and violations in operation risk assessment based on operation plan sheets is provided. Figure 1 Taking the power grid management system in the terminal 12 as an example, the method includes the following steps 101 to 102 or 101 to 103. Among them:
[0045] Step 101, obtaining multiple operation plans and multiple work tickets in the power grid management system.
[0046] Among them, the power grid management system is any data management system used by the power grid industry, which is used to store various data related to the power grid industry, and also facilitates internal users to consult some data based on the power grid management system.
[0047] The work plan is used to record and display some information about power grid-related work, such as line name, affiliated unit, work content, planned start time, planned end time, voltage level, work status, work method, profession and risk level, etc.
[0048] Work tickets are used to record and display some information about power grid-related work, such as the person in charge of the work, work ticket number, unit and team, the person in charge of the work and the total number of people in the work shift, planned start time, planned end time, people in the work shift, work tasks, name of the power outage line and nature of the personnel, etc.
[0049] Exemplarily, by executing step 101, the work plans and work tickets that have been stored in the power grid management system for at least a period of time are extracted, so as to facilitate the subsequent work of determining the work plans with risk assessment errors among the extracted work plans.
[0050] Step 102, based on preset filtering conditions, extract a pre-selected plan sheet from multiple work plan sheets, and extract a pre-selected work sheet bound to the pre-selected plan sheet from multiple work sheets; based on a preset type, extract a target work sheet from the pre-selected work sheets, and determine the pre-selected plan sheet bound to the target work sheet as a work plan sheet with a risk assessment error; wherein the filtering conditions represent at least one characteristic information displayed in the work plan sheet, and the type represents the type classification to which the work sheet belongs.
[0051] Among them, the preset screening condition is a selection condition set in advance to select a target job plan from multiple job plans. The present application does not specifically limit the types and numbers of the preset screening conditions. For example, the preset screening condition may be: screening out job plans with a job status of one or several states in the job plan; this is only an optional preset screening condition provided by the present application, but the present application is not limited to this. The preset screening condition may be fixed or may be changed by the user at any time based on demand. The at least one feature information displayed in the above-mentioned job plan, wherein the feature information may also be referred to as attribute information, etc.
[0052] By executing step 102, based on the preset screening conditions, the operation plan sheets that meet the preset screening conditions are extracted from multiple operation plan sheets. The extracted operation plan sheets are pre-selected plan sheets. Further, based on the binding relationship between the operation plan sheet and the work ticket, the work ticket that has a binding relationship with the pre-selected plan sheet can be extracted from the work ticket as the pre-selected work ticket. Then, further based on the pre-set screening method, that is, the preset type, the pre-selected work ticket that meets the pre-selected type is extracted from the pre-selected work ticket as the target work ticket. Then, the pre-selected plan sheets that have a binding relationship with these target work tickets are obtained as the target plan sheets. These target plan sheets are also the operation plan sheets with risk assessment errors that are finally determined. Among them, the type of the above-mentioned work ticket represents the type classification of the work ticket. For example, the work ticket can include multiple type classifications, and each work ticket has its corresponding type.
[0053] Among them, the binding relationship between the job plan and the work ticket can be achieved through the plan number in the job plan and the plan number (or work ticket number) in the work ticket; but this is only an optional implementation method provided by the present application, and the present application is not limited to this. For example, the binding or association between the plan number and the corresponding work ticket can also be achieved through other data.
[0054] The method for identifying errors and violations in operation risk assessment based on the operation plan sheet, which is implemented based on the execution of step 101 and step 102, is only one implementation method provided by the present application.
[0055] Step 103, obtain the first assessment risk level included in each work plan; call the risk assessment rule library constructed based on the work plan and the work ticket to obtain the second assessment risk level of multiple work plans; when the second assessment risk level and the first assessment risk level corresponding to the same work plan are different, determine that the work plan with the difference is a work plan with risk assessment errors.
[0056] After executing step 101 to obtain multiple work plans and work tickets, you can also choose to further execute step 103 to first obtain the first assessment risk level in the data included in each work plan; wherein the first assessment risk level here can be, for example, a manual assessment risk level, and each work plan records the manual risk assessment data for the plan; the manual here can be some experts with rich experience in the power grid industry. Then, the pre-built risk assessment rule base can be called to perform intelligent risk assessment on each work plan, and the intelligent risk assessment is, for example, to compare at least part of the data information included in the work plan with part of the information pre-built in the risk assessment rule base, so as to obtain the risk assessment data corresponding to at least part of the data information in the work plan, and then obtain the second assessment risk level of the work plan based on these risk assessment data; wherein the second assessment risk level here can be called an intelligent assessment risk level. Then, for each operation plan sheet, the second assessment risk level and the first assessment risk level corresponding to each operation plan sheet are compared. When the second assessment risk level and the first assessment risk level are the same, it means that the risk level assessment of the operation plan sheet is correct. When the second assessment risk level and the first assessment risk level are different, it can be determined that the corresponding operation plan sheet is an operation plan sheet with incorrect risk assessment.
[0057] That is, the method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented by the execution of step 101 and step 103 provided in the above-mentioned application is another implementation method provided in the present application.
[0058] The method for identifying errors and violations in operation risk assessment based on operation plan sheets provided in the present application can be applied to power grid management systems, specifically by obtaining multiple operation plan sheets and multiple work tickets in the power grid management system; then, based on preset screening conditions, a pre-selected plan sheet is extracted from the multiple operation plan sheets, and a pre-selected work ticket bound to the pre-selected plan sheet is extracted from the multiple work tickets; based on a preset type, a target work ticket is extracted from the pre-selected work ticket, and the pre-selected plan sheet bound to the target work ticket is determined as the operation plan sheet with risk assessment errors; wherein the screening condition represents at least one characteristic information displayed in the operation plan sheet, and the type represents the type classification to which the work ticket belongs; or, obtaining each operation plan sheet includes The first assessment risk level of the operation plan sheet is determined; the risk assessment rule base constructed based on the operation plan sheet and the work ticket is called to obtain the second assessment risk level of multiple operation plan sheets; when the second assessment risk level and the first assessment risk level corresponding to the same operation plan sheet are different, the operation plan sheet with the difference is determined to be an operation plan sheet with a risk assessment error; thereby, it is realized to quickly and accurately determine the operation plan sheet with a risk assessment error in the power grid management system, which is conducive to the subsequent analysis of the error causes of the operation plan sheet with a risk assessment error, so as to reduce or avoid the subsequent problem of risk assessment errors in the operation plan sheet, thereby helping to improve the accuracy of relevant data in the subsequent operation plan sheet.
[0059] Please continue to refer to Figure 2 In an exemplary embodiment, the "extracting a pre-selected plan sheet from multiple job plan sheets based on preset filtering conditions" performed in the above step 102 can be specifically performed as: extracting a pre-selected plan sheet from multiple job plan sheets based on preset filtering conditions including preset job status, preset profession and / or preset risk level.
[0060] That is, the present application provides several preset screening conditions of selectable types: preset operation status, preset profession, preset risk level, but these are only several selectable screening conditions provided by the present application, and the preset screening conditions can be adjusted based on different needs. For the above-mentioned three preset screening conditions of preset operation status, preset profession, and preset risk level provided by the present application, when extracting a pre-selected plan sheet from multiple operation plan sheets, it can be set to require the three screening conditions to be met at the same time, or it can be set to only require one or two of the screening conditions to be met, and the present application does not make specific restrictions on this.
[0061] Please refer to Figure 2 and Figure 3 For the above-mentioned method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented based on the execution of step 101 and step 102, the present application provides a specific optional embodiment, which is implemented by executing steps S11 to S13, wherein:
[0062] Step S11: Data source acquisition: specifically, obtaining two data sources: "work plan" and "work ticket".
[0063] For obtaining the work plan, the relevant acquisition paths can be: power grid management platform, production safety application, production operation management, maintenance and repair order management, and the work plan is obtained in the maintenance and repair order management.
[0064] For obtaining work tickets, the relevant acquisition paths can be: power grid management platform, production safety application, production operation management, work ticket management and so on, and the work ticket is obtained in the work ticket management.
[0065] Step S12: Filter out the work plan sheets with work status of "interim" or "completed", major of "marketing", and risk level of "acceptable".
[0066] Step S13: Find the work ticket associated with the plan, that is, query the corresponding work ticket through the plan number. Match the plan number with the plan number bound to the work ticket. If the corresponding work ticket can be found through the plan number, then determine the type of the work ticket. If the work ticket type is "plant station first work ticket" or "line first work ticket" or "distribution first work ticket", then determine that the plan is a risk assessment classification error.
[0067] Among them, it needs to be explained that Figure 3 The "Is it a certain type of ticket" in the above statement corresponds to whether it is a "plant station first type of work ticket" or a "line first type of work ticket" or a "distribution first type of work ticket". Figure 3 The corresponding term for “determining a violation” is “determining that the plan is a risk assessment and classification error”.
[0068] Among them, the "operation status", "professional" and "risk level" provided in the above step S12 are an embodiment corresponding to the preset screening conditions described in step 102. The "first type of work ticket for plant and station", "first type of work ticket for line" and "first type of work ticket for power distribution" provided in the above step S13 are an embodiment corresponding to the preset types described in step 102.
[0069] It can be seen that the idea of identifying the errors and violations of the operation risk assessment based on the operation plan sheet provided by this application is to obtain two data sources, namely, the "operation plan sheet" and the "work ticket"; and to filter out the plans that have not conducted risk assessment, have incorrect risk assessment ratings, or have not specified risk control measures as required, through certain conditions. That is, for the operation plan sheets with risk assessment errors described in this application, the specific types of risk assessment errors include: failure to conduct risk assessment, incorrect risk assessment ratings, or failure to specify risk control measures as required.
[0070] Please continue to refer to Figure 2 In an exemplary embodiment, the calling of the risk assessment rule base constructed based on the work plan and the work ticket in the above step 103 to obtain the second assessment risk level of multiple work plans can be specifically implemented by executing the following steps:
[0071] Calling a risk assessment rule base constructed based on the work plan and the work ticket to obtain at least one of the project type risk value, the operator capability risk value, and the work environment and time impact risk value of each work plan;
[0072] Determine a risk score value of the work plan based on at least one of the project type risk value, the operator capability risk value, and the work environment and time impact risk value of the work plan;
[0073] Based on the preset correlation between the risk score value and the second assessment risk level, the second assessment risk level of each operation plan is obtained.
[0074] Specifically, the risk assessment rule base stores a method for calculating the risk score value for the work plan; the risk score value for the work plan can be calculated based on at least one of the project type risk value, operator capability risk value, and work environment and time impact risk value included in the work plan. The risk score value for the work plan is determined based on several of the above three, and different choices can be made based on needs.
[0075] Furthermore, for the conversion of the risk score value of the work plan and the corresponding second assessment risk level, a relevant preset association relationship, that is, a relevant mapping relationship, can be provided in advance, so that when the risk score value of each work plan is obtained, the second assessment risk level corresponding to the risk score value can be obtained based on the mapping relationship.
[0076] Please continue to refer to Figure 2 In an exemplary embodiment, the method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented by the execution of step 101 and step 103 provided in the present application may further include the following steps 131 to 133, which are used to obtain the operator's capability risk value. Among them:
[0077] Step 131, obtaining a first preset mapping relationship between at least one first assessment factor associated with the operator's capability risk value, a first assessment result, and a first risk value score;
[0078] Step 132, acquiring attribute information associated with each first assessment factor in the work ticket bound to the work plan, extracting historical violation situations corresponding to each first assessment factor from the historical violation database based on the attribute information to determine a first assessment result corresponding to each first assessment factor, and acquiring a first risk value score corresponding to each first assessment factor in a first preset mapping relationship based on the determined first assessment result;
[0079] Step 133: Determine the operator capability risk value based on the first risk value score corresponding to each first assessment factor.
[0080] Specifically, for the acquisition of the above-mentioned operator capability risk value, the present application provides an optional implementation method, which is to provide a pre-set operator capability risk value assessment standard, the information included in the assessment standard includes: a first assessment factor, a first assessment result and a first risk value score, wherein each first assessment factor specifically corresponds to multiple associated first assessment results, and each first assessment result corresponds to an associated first risk value score.
[0081] Then, the attribute information associated with each first assessment factor is obtained in the work ticket bound to the work plan, so as to extract the historical violation situation corresponding to each first assessment factor in the historical violation database based on the acquired attribute information, and then determine the target assessment result in the first assessment result associated with the corresponding first assessment factor based on the determined historical violation situation, and then obtain the corresponding first risk value score based on the determined first assessment result (target assessment result). Based on this method, the first risk value score corresponding to each first assessment factor is obtained, and then the operator's ability risk value can be determined based on the first risk value score corresponding to each first assessment factor.
[0082] The present application does not make any specific limitation on the method of transforming the first risk value scores corresponding to each first assessment factor and the operator capability risk value. For example, the average value of the first risk value scores corresponding to each first assessment factor can be used as the operator capability risk value, or other more appropriate methods can be used to convert the average value of the first risk value scores corresponding to each first assessment factor into an operator capability risk value.
[0083] Please continue to refer to Figure 2In an exemplary embodiment, the method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented by the execution of step 101 and step 103 provided in the present application may also include the following step 134; wherein: step 134, for at least part of the first assessment factor, determines the first assessment result corresponding to the first assessment factor based on a preset first assessment rule, and obtains the first risk value score corresponding to the first assessment factor in the first preset mapping relationship based on the determined first assessment result; wherein, the preset first assessment rule represents the association relationship between the preset first assessment factor and the corresponding first assessment result.
[0084] Specifically, since there are some first assessment factors whose corresponding assessment results cannot be automatically determined based on the system, there may be at least some first assessment factors whose corresponding associated first assessment results are determined manually, and then the first risk value score corresponding to the first assessment factor is obtained based on the determined first assessment result. When manually determining the first assessment result corresponding to the first assessment factor, the first assessment rule set in advance may be referred to. The first assessment rule shows the method and means of determining the first assessment result corresponding to the first assessment factor, which is conducive to improving the accuracy of the first assessment result corresponding to the first assessment factor determined manually.
[0085] Please continue to refer to Figure 2 In an exemplary embodiment, the method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented by the execution of step 101 and step 103 provided in the present application may also include the following steps 135 to 137. Steps 135 to 137 are used to obtain the risk value of the operating environment and time. Among them:
[0086] Step 135, obtaining a second preset mapping relationship between at least one second assessment factor associated with the operating environment and time affecting the risk value, the second assessment result, and the second risk value score;
[0087] Step 136: extracting historical data corresponding to each second assessment factor from the historical information database based on the operation plan to determine a second assessment result corresponding to each second assessment factor, and obtaining a second risk value score corresponding to each second assessment factor in a second preset mapping relationship based on the determined second assessment result;
[0088] Step 137: Determine the operating environment and time impact risk value based on the second risk value score corresponding to each second assessment factor.
[0089] Specifically, for the acquisition of the above-mentioned working environment and time impact risk value, the present application provides an optional implementation method, which is to provide a pre-set working environment and time impact risk value assessment standard, and the information included in the assessment standard includes: a second assessment factor, a second assessment result and a second risk value score, wherein each second assessment factor specifically corresponds to multiple associated second assessment results, and each second assessment result corresponds to an associated second risk value score.
[0090] Then, based on different operation plans, historical data corresponding to each second assessment factor can be extracted from the system historical information library to determine which second assessment result corresponds to the second assessment factor based on the historical data, that is, to determine the target assessment result in the second assessment result associated with the corresponding second assessment factor, and then obtain the corresponding second risk value score based on the determined second assessment result (target assessment result). Based on this method, the second risk value score corresponding to each second assessment factor is obtained, and then the operating environment and time impact risk value can be determined based on the second risk value score corresponding to each second assessment factor.
[0091] The present application does not make any specific limitation on the method of transforming the second risk value scores corresponding to each second assessment factor and the risk values of the operating environment and time impact. For example, the average value of the second risk value scores corresponding to each second assessment factor can be used as the risk value of the operating environment and time impact. Alternatively, the average value of the second risk value scores corresponding to each second assessment factor can be converted into the risk value of the operating environment and time impact by other more appropriate methods.
[0092] Please continue to refer to Figure 2 In an exemplary embodiment, the method for identifying errors and violations in job risk assessment based on a job plan sheet implemented by the execution of step 101 and step 103 provided in the present application may also include the following step 138, wherein: step 138, for at least part of the second assessment factor, determines the second assessment result corresponding to the second assessment factor based on a preset second assessment rule, and obtains the second risk value score corresponding to the second assessment factor in a second preset mapping relationship based on the determined second assessment result; wherein the preset second assessment rule represents the association relationship between the preset second assessment factor and the corresponding second assessment result.
[0093] Specifically, since there are some second assessment factors whose corresponding assessment results cannot be automatically determined based on the system, there may be at least some second assessment factors whose corresponding associated second assessment results are determined manually, and then the second risk value score corresponding to the second assessment factor is obtained based on the determined second assessment results. When manually determining the second assessment result corresponding to the second assessment factor, the second assessment rule set in advance may be referred to, and the second assessment rule shows the method and means of determining the second assessment result corresponding to the second assessment factor, which is conducive to improving the accuracy of the second assessment result corresponding to the second assessment factor determined manually.
[0094] Please continue to refer to Figure 2 In an exemplary embodiment, after step 102 or step 103 is executed, the method for identifying errors and violations in operation risk assessment based on the operation plan provided by the present application may further include the following execution steps:
[0095] Based on the job plan with determined risk assessment errors, a result form is output; wherein the result form includes at least an identification result page, and the identification result page at least displays the job plan, the work ticket bound to the job plan, and the first assessment risk level of the job plan.
[0096] That is, when, among multiple work plans, an work plan with a risk assessment error is identified, the result can be output, specifically, as an output result form, so that relevant users can review the result, which is beneficial for subsequent analysis of the cause of the error in the work plan with a risk assessment error, so as to reduce or avoid the subsequent problem of risk assessment errors in the work plan, thereby helping to improve the accuracy of relevant data in subsequent work plans.
[0097] Please refer to Figure 2 For the above-mentioned method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented based on the execution of step 101 and step 103, the present application provides a specific optional embodiment, which is implemented by executing steps S21 to S25, wherein:
[0098] Step S21: Data source acquisition. The data source of the "operation plan sheet" is acquired. Specifically, for example, the operation plan data can be queried in the operation plan library through paths such as the power grid management platform, personal risk prevention and control, operation management, and operation plan library.
[0099] Step S22: Check the operation risk assessment from the operation plan risk value details to obtain manually assessed operation risk data (first assessment risk level). Figure 4A schematic diagram showing the risk value details of a work plan in an embodiment is provided, which can be referred to Figure 4 .
[0100] Step S23: Build a risk assessment rule base, and the system automatically calculates the risk value. The risk value consists of "project type risk value", "operator capability risk value", and "operating environment and time impact risk value".
[0101] Among them, an optional implementation method is provided in which the "project type risk value" completely adopts the manual scoring value as the system scoring value, the "operator ability risk value" is automatically scored by the system, and some evaluation items in the "operating environment and time impact risk value" can adopt the manual scoring value as the system scoring value, while some evaluation items are automatically scored by the system.
[0102] Specifically, the present application is directed to the description of "operator capability risk value".
[0103] The evaluation factors included in the "Operator Capacity Risk Value" include, for example: "Safety awareness of the person in charge of the work (including the person in charge of the group work)", "Mental state and fatigue level of the operator", "Safety awareness of the main work team members (except auxiliary workers)", "Safety awareness of the guardian (including full-time guardian)", "Total number of operators", "Temporary change of operators", and "Nature of personnel". The specific scoring standards for each evaluation factor are shown in Table 1 below.
[0104] Table 1- Operator capability risk value assessment standards
[0105]
[0106] The following is an example of how to calculate some of the first evaluation factors in Table 1 above:
[0107] First, the safety awareness of the person in charge of the work (including the person in charge of the group work): 1 or more Class A violations within 3 years: directly obtain the person in charge of the work from the "person in charge of the work" attribute of the work ticket, and extract the person in charge of the group work from the "team member" attribute of the work ticket. According to the name of the person in charge of the work, query the total number of Class A violations within 3 years from the violation database. If there are 1 or more violations, the risk value is 6 points.
[0108] For Class B, C, and D violations committed once or more within three years: the idea is the same as above.
[0109] For 0-2 Class D violations within 3 years: the idea is the same as above.
[0110] Second, the mental state and fatigue level of the operator: The mental state of the operator changes in real time, and the system cannot accurately judge it. Therefore, this evaluation factor can be mainly based on manual evaluation. The system directly takes the value of manual evaluation as the final evaluation value.
[0111] Third, the safety awareness of the main work team members (except auxiliary workers): extract the team member names from the "Team Member" attribute of the work ticket. According to the team member names, query the total number of violations of various types from the violation database. If a certain requirement is met, take the corresponding risk value. The idea is the same as the above "one".
[0112] Fourth, the safety awareness of the guardian (including full-time guardian): The idea is the same as the above "first" and "third". The guardian's name obtains the "guardian" attribute of the work ticket.
[0113] Fifth, total number of workers: extract the total number of workers from the "Team Member" attribute of the work ticket.
[0114] Sixth, temporary change of operators: temporary change of the person in charge of the work on the day of the operation: compare the "change time" in the change column of the work ticket with the "start time" of the corresponding plan sheet to see if they are on the same day. If they are on the same day, it is judged as a temporary change of the operator. Note: For example, the path to obtain the "start time" can be: work ticket, related construction work plan sheet, full view, plan execution, and obtain the start time from the list. The person in charge of the work confirms 1 day before the operation (including after the work is interrupted): use the elimination method to judge.
[0115] 7. Personnel nature: Labor personnel from external construction units: not considered for the time being. Personnel from external construction units: judged by the "external unit" attribute of the work ticket, if it is "yes", it is judged as personnel from external construction units. Personnel from this unit: judged by the "external unit" attribute of the work ticket, if it is "no", it is judged as personnel from this unit.
[0116] This application explains the impact of “operating environment and time on risk value”.
[0117] The evaluation factors of “Working environment and time impact risk value” include: “weather”, “working area”, “working type”, “working period”, “single-day continuous working time (fatigue)”, “plan nature”, and “key and important sites (lines)”. The specific scoring criteria for each evaluation factor are shown in Table 2 below.
[0118] Table 2 - Risk values affected by operating environment and time
[0119]
[0120] The following is an example of how to calculate some of the second evaluation factors in Table 2 above:
[0121] First, weather, operation location, operation type, operation time, and daily continuous operation duration (fatigue): The above evaluation factors cannot accurately evaluate the results based on the data of the existing internal power system. Therefore, the system can choose to directly take the manually evaluated value as the final evaluation value.
[0122] Second, the nature of the plan: temporary work tasks formulated on the same day: by comparing the "creation time" and "actual start time" of the plan, if the "creation time" and "actual start time" are consistent, it is judged to be a temporary work task formulated on the same day. Temporary work tasks formulated one day in advance: by comparing the "creation time" and "actual start time" of the plan, if the "creation time" is one day before the "actual start time", it is judged to be a temporary work task formulated on the same day. Planned work: use the elimination method.
[0123] Third, key and important sites (lines): Key and important sites (lines): Determine by reading the key and important site dictionary table. Non-key and important sites (lines): Determine by reading the non-key and important site dictionary table.
[0124] Step S24: Convert the risk value automatically calculated by the system into the corresponding risk level. The corresponding relationship between the risk value and the risk level is: acceptable risk: 0-19; low risk: 20-69; medium risk: 70-199; high risk: 200 and above. Then match the risk level automatically calculated by the system with the risk level assessed manually. If the levels are inconsistent, it is judged that the risk assessment is wrong.
[0125] Step 25: Output the results. Output an Excel spreadsheet (a type of spreadsheet) to generate two sheets (work tickets). One sheet is the recognition result, which mainly includes the following attributes: plan sheet, work ticket, violation recognition reason, original risk level, recognized risk level, original risk value, recognized risk value. The other sheet is a comparison of the manual evaluation of each evaluation factor and the risk value automatically recognized by the system.
[0126] It can be seen that the idea of identifying errors and violations in the operation risk assessment based on the operation plan provided by this application is to obtain the "operation plan" data source. The risk level manually assessed by the plan of the power grid management platform is used as a reference and compared with the risk level automatically assessed by the system. If the risk levels of the manual assessment and the system assessment are found to be inconsistent, it is determined to be a risk assessment classification error.
[0127] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0128] Based on the same inventive concept, the embodiment of the present application also provides a device for identifying errors and violations of operation risk assessment based on an operation plan sheet for implementing the above-mentioned method for identifying errors and violations of operation risk assessment based on an operation plan sheet. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more device embodiments for identifying errors and violations of operation risk assessment based on an operation plan sheet provided below can refer to the limitations of the method for identifying errors and violations of operation risk assessment based on an operation plan sheet above, and will not be repeated here.
[0129] In an exemplary embodiment, Figure 5 As shown, a device 300 for identifying errors and violations in operation risk assessment based on an operation plan is provided, which is applied to a power grid management system and includes: a data acquisition module 81 and a data processing module 82, wherein:
[0130] The data acquisition module 81 is used to acquire multiple operation plans and multiple work tickets in the power grid management system;
[0131] The data processing module 82 is used to extract a pre-selected plan sheet from multiple work plan sheets based on preset screening conditions, and extract a pre-selected work sheet bound to the pre-selected plan sheet from multiple work sheets; based on a preset type, extract a target work sheet from the pre-selected work sheets, and determine the pre-selected plan sheet bound to the target work sheet as a work plan sheet with a risk assessment error; wherein the screening condition represents at least one feature information displayed in the work plan sheet, and the type represents the type classification to which the work sheet belongs; or,
[0132] Used to obtain the first assessment risk level included in each work plan; call the risk assessment rule library built based on the work plan and the work ticket to obtain the second assessment risk level of multiple work plans; when the second assessment risk level and the first assessment risk level corresponding to the same work plan are different, determine that the work plan with the difference is the work plan with risk assessment errors.
[0133] In an exemplary embodiment, the preset screening conditions include a preset job status, a preset profession, and a preset risk level.
[0134] In an exemplary embodiment, the data processing module 82 is also used to call the risk assessment rule library constructed based on the job plan and the work ticket to obtain at least one of the project type risk value, operator capability risk value, and operating environment and time impact risk value of each job plan; determine the risk score value of the job plan based on at least one of the project type risk value, operator capability risk value, and operating environment and time impact risk value of the job plan; and obtain the second assessment risk level of each job plan based on the preset correlation between the risk score value and the second assessment risk level.
[0135] In an exemplary embodiment, the data processing module 82 is also used to obtain a first preset mapping relationship between a first assessment factor associated with the operator's capability risk value, a first assessment result and a first risk value score; obtain attribute information associated with each first assessment factor in the work ticket bound to the work plan, extract historical violations corresponding to each first assessment factor from the historical violation library based on the attribute information to determine the first assessment result corresponding to each first assessment factor, and obtain the first risk value score corresponding to each first assessment factor in the first preset mapping relationship based on the determined first assessment result; determine the operator's capability risk value based on the first risk value score corresponding to each first assessment factor.
[0136] In an exemplary embodiment, the data processing module 82 is also used to determine, for at least part of the first evaluation factor, a first evaluation result corresponding to the first evaluation factor based on a preset first evaluation rule, and obtain a first risk value score corresponding to the first evaluation factor in a first preset mapping relationship based on the determined first evaluation result; wherein the preset first evaluation rule characterizes the association relationship between the preset first evaluation factor and the corresponding first evaluation result.
[0137] In an exemplary embodiment, the data processing module 82 is also used to obtain a second preset mapping relationship between a second assessment factor, a second assessment result and a second risk value score associated with the operating environment and time impact risk value; based on the work plan, historical data corresponding to each second assessment factor is extracted from the historical information library to determine the second assessment result corresponding to each second assessment factor, and based on the determined second assessment result, the second risk value score corresponding to each second assessment factor is obtained in the second preset mapping relationship; based on the second risk value score corresponding to each second assessment factor, the operating environment and time impact risk value is determined.
[0138] In an exemplary embodiment, the data processing module 82 is also used to determine, for at least part of the second evaluation factor, a second evaluation result corresponding to the second evaluation factor based on a preset second evaluation rule, and obtain a second risk value score corresponding to the second evaluation factor in a second preset mapping relationship based on the determined second evaluation result; wherein the preset second evaluation rule characterizes the association relationship between the preset second evaluation factor and the corresponding second evaluation result.
[0139] In an exemplary embodiment, the operation risk assessment error and violation identification device 300 based on the operation plan also includes a result output module, which is used to output a result form based on the operation plan with a determined risk assessment error; wherein the result form at least includes an identification result page, and the identification result page at least displays the operation plan, the work ticket bound to the operation plan, and the first assessment risk level of the operation plan.
[0140] Each module in the above-mentioned operation risk assessment error violation identification device based on the operation plan sheet can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.
[0141] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for identifying errors and violations of operation risk assessment based on an operation plan is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.
[0142] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0143] Based on the same inventive concept, the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the aforementioned method for identifying errors and violations in operation risk assessment based on an operation plan sheet is implemented. The method for identifying errors and violations in operation risk assessment based on an operation plan sheet is any one of the methods for identifying errors and violations in operation risk assessment based on an operation plan sheet mentioned in the embodiments of the present application. Relevant embodiments can be found above.
[0144] Based on the same inventive concept, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the aforementioned method for identifying errors and violations in operation risk assessment based on an operation plan sheet. The method for identifying errors and violations in operation risk assessment based on an operation plan sheet is any one of the methods for identifying errors and violations in operation risk assessment based on an operation plan sheet mentioned in the embodiments of the present application. Relevant embodiments can be found above.
[0145] 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, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0146] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0147] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0148] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A method for identifying errors and violations in operation risk assessment based on an operation plan, characterized in that: Applied to a power grid management system, the method comprises: Acquire multiple work schedules and multiple work tickets in the power grid management system; Extract a pre-selected plan sheet from the plurality of work plan sheets based on a preset screening condition, and extract a pre-selected work sheet bound to the pre-selected plan sheet from the plurality of work sheets; extract a target work sheet from the pre-selected work sheets based on a preset type, and determine the pre-selected plan sheet bound to the target work sheet as the work plan sheet with the risk assessment error; wherein the screening condition represents at least one characteristic information displayed in the work plan sheet, and the type represents the type classification to which the work sheet belongs; or, Obtain the first assessment risk level included in each of the job plan sheets; call the risk assessment rule library constructed based on the job plan sheets and the work tickets to obtain the second assessment risk level of multiple job plan sheets; when the second assessment risk level corresponding to the same job plan sheet is different from the first assessment risk level, determine that the job plan sheet with the difference is the job plan sheet with risk assessment error.
2. The method according to claim 1, characterized in that The preset screening conditions include preset operation status, preset profession and preset risk level.
3. The method according to claim 1, characterized in that The calling of the risk assessment rule base constructed based on the work plan and the work ticket to obtain the second assessment risk levels of the plurality of work plans includes: Calling a risk assessment rule base constructed based on the work plan and the work ticket to obtain at least one of the project type risk value, operator capability risk value, and work environment and time impact risk value of each work plan; Determine a risk score value of the work plan based on at least one of the project type risk value, the operator capability risk value, and the work environment and time impact risk value of the work plan; Based on the preset association relationship between the risk score value and the second assessed risk level, the second assessed risk level of each of the work plans is obtained.
4. The method according to claim 3, characterized in that Also includes: Acquire a first preset mapping relationship between at least one first assessment factor associated with the operator capability risk value, a first assessment result, and a first risk value score; Acquire attribute information associated with each of the first assessment factors in the work ticket bound to the work plan, extract historical traffic violation situations corresponding to each of the first assessment factors from a historical traffic violation database based on the attribute information to determine a first assessment result corresponding to each of the first assessment factors, and acquire a first risk value score corresponding to each of the first assessment factors in the first preset mapping relationship based on the determined first assessment result; The operator capability risk value is determined based on the first risk value scores corresponding to the first assessment factors.
5. The method according to claim 4, characterized in that Also includes: For at least part of the first assessment factors, the first assessment result corresponding to the first assessment factor is determined based on a preset first assessment rule, and the first risk value score corresponding to the first assessment factor is obtained in the first preset mapping relationship based on the determined first assessment result; wherein the preset first assessment rule represents the association relationship between the preset first assessment factor and the corresponding first assessment result.
6. The method according to claim 3, characterized in that Also includes: Acquire a second preset mapping relationship between at least one second assessment factor associated with the operating environment and time affecting the risk value, a second assessment result, and a second risk value score; Extracting historical data corresponding to each second assessment factor from a historical information database based on the operation plan to determine a second assessment result corresponding to each second assessment factor, and obtaining a second risk value score corresponding to each second assessment factor in the second preset mapping relationship based on the determined second assessment result; The operating environment and time impact risk values are determined based on the second risk value scores corresponding to the second assessment factors.
7. The method according to claim 6, characterized in that Also includes: For at least part of the second assessment factor, the second assessment result corresponding to the second assessment factor is determined based on a preset second assessment rule, and the second risk value score corresponding to the second assessment factor is obtained in the second preset mapping relationship based on the determined second assessment result; wherein the preset second assessment rule characterizes the association relationship between the preset second assessment factor and the corresponding second assessment result.
8. The method according to any one of claims 1 to 7, characterized in that: Also includes: Based on the job plan with the determined risk assessment error, a result form is output; wherein the result form includes at least an identification result page, and the identification result page displays at least the job plan, the work ticket bound to the job plan, and the first assessment risk level of the job plan.
9. A device for identifying errors and violations in operation risk assessment based on an operation plan, characterized in that: Applied to a power grid management system, the device comprises: A data acquisition module, used to acquire multiple operation plans and multiple work tickets in the power grid management system; A data processing module, used to extract a pre-selected plan sheet from the multiple work plan sheets based on a preset screening condition, and extract a pre-selected work sheet bound to the pre-selected plan sheet from the multiple work sheets; based on a preset type, extract a target work sheet from the pre-selected work sheets, and determine the pre-selected plan sheet bound to the target work sheet as the work plan sheet with risk assessment errors; wherein the screening condition represents at least one feature information displayed in the work plan sheet, and the type represents the type classification to which the work sheet belongs; or, Used to obtain the first assessment risk level included in each of the work plans; call the risk assessment rule library constructed based on the work plan and the work ticket to obtain the second assessment risk level of multiple work plans; when the second assessment risk level corresponding to the same work plan is different from the first assessment risk level, determine that the work plan with the difference is the work plan with risk assessment error.
10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.
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