Method, device and computer equipment for identifying errors and violations in operation risk assessment based on operation plan sheets

Abstract

The present application relates to a method, device, and computer equipment for identifying errors and violations in operation risk assessment based on an operation plan sheet, and relates to the field of risk assessment technology. The method is applied to a power grid management system, and includes obtaining multiple operation plan sheets and work tickets in the power grid management system; extracting a preselected plan sheet from the operation plan sheet based on a preset screening condition, and extracting a preselected work ticket bound to the preselected plan sheet from the work ticket; extracting a target work ticket from the preselected work ticket based on a preset type, and determining the preselected plan sheet bound to the target work ticket as an operation plan sheet with a risk assessment error; or, obtaining a first assessment risk level included in the operation plan sheet; calling a risk assessment rule library constructed based on the operation plan sheet and the work ticket to obtain a second assessment risk level of the operation plan sheet; and if there is a difference between the second assessment risk level and the first assessment risk level, determining that the corresponding operation plan sheet is an operation plan sheet with a risk assessment error.

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 and disposal of risk events. 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] With the rapid development of power grids, power equipment is receiving increasing attention. Overlooking a single equipment defect or performing a task substandardly can trigger a massive chain reaction, resulting in severe economic losses. Therefore, defect management is crucial for power grids. Therefore, ensuring the accuracy of data recorded in work plans and work tickets related to historical risk events is crucial for subsequent reflection and prevention of related risk events.

[0004] Therefore, with respect to an operation plan in a power grid system, there is an urgent need to provide a method for identifying whether there are errors in the risk assessment rating 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 plan sheets, which can determine operation plan sheets with risk assessment classification errors among multiple operation plan sheets in order to address the above 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 sheet, which is applied to a power grid management system, comprising:

[0007] Obtaining multiple work schedules and multiple work tickets in the power grid management system;

[0008] Based on a preset screening condition, a preselected plan sheet is extracted from the plurality of work plan sheets, and a preselected work sheet bound to the preselected plan sheet is extracted from the plurality of work sheets; based on a preset type, a target work sheet is extracted from the preselected work sheets, and the preselected plan sheet bound to the target work sheet is determined 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 work plan sheets; call the risk assessment rule library constructed based on the work plan sheets and the work tickets to obtain the second assessment risk level of multiple work plan sheets; when the second assessment risk level corresponding to the same work plan sheet is different from the first assessment risk level, determine that the work plan sheet with the difference is the work plan sheet with the risk assessment error.

[0010] In one embodiment, the preset screening conditions include a preset operation status, a preset profession, and a preset risk level.

[0011] In one embodiment, the calling of a risk assessment rule base constructed based on the work plan and the work ticket to obtain the second assessed risk levels of the plurality of work plan orders includes:

[0012] Calling a risk assessment rule library constructed based on the work plan and the work ticket to obtain at least one of a project type risk value, an operator capability risk value, and an operating environment and time impact risk value for each of the work plan;

[0013] Determining 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 correlation between the risk score value and the second assessed risk level, the second assessed risk level of each of the work plan sheets is obtained.

[0015] In one embodiment, it further 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] Acquiring attribute information associated with each first assessment factor from the work ticket bound to the work plan, extracting historical traffic violation information corresponding to each first assessment factor from a historical traffic 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 from 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 score corresponding to each of the first assessment factors.

[0019] In one embodiment, it further includes:

[0020] For at least part of the first evaluation factors, the first evaluation result corresponding to the first evaluation factor is determined based on a preset first evaluation rule, and the first risk value score corresponding to the first evaluation factor is obtained in the first preset mapping relationship based on the determined first evaluation result; wherein the preset first evaluation rule represents the association relationship between the pre-set first evaluation factor and the corresponding first evaluation result.

[0021] In one embodiment, it further includes:

[0022] Obtaining a second preset mapping relationship between at least one second assessment factor associated with the operating environment and time impact 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 work 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 further 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 the 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 represents the association relationship between the pre-set second assessment factor and the corresponding second assessment result.

[0027] In one embodiment, it further includes:

[0028] Based on the job plan sheet 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 sheet, the work ticket bound to the job plan sheet, and the first assessment risk level of the job plan sheet.

[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. The device comprises:

[0030] A data acquisition module, configured to acquire a plurality of operation plans and a plurality of work tickets in the power grid management system;

[0031] A data processing module, configured to extract a preselected plan sheet from a plurality of the work plan sheets based on a preset screening condition, and extract a preselected work sheet bound to the preselected plan sheet from a plurality of the work sheets; based on a preset type, extract a target work sheet from the preselected work sheets, and determine the preselected 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,

[0032] Used to obtain the first assessment risk level included in each of the work plan orders; call the risk assessment rule library constructed based on the work plan order and the work ticket to obtain the second assessment risk level of multiple work plan orders; when the second assessment risk level corresponding to the same work plan order is different from the first assessment risk level, determine that the work plan order with the difference is the work plan order 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 an operation plan sheet with a risk assessment error; 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 library 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 helping to improve 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 following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. 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 any creative work.

[0036] Figure 1 FIG. 1 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 1 is a flow chart of a method for identifying errors and violations in operation risk assessment based on an operation plan sheet in one embodiment;

[0038] Figure 3 2 is a flow chart of a method for identifying errors and violations in operation risk assessment based on an operation plan sheet in another embodiment;

[0039] Figure 4 This is a schematic diagram showing information on risk value details of a work plan in one embodiment;

[0040] Figure 51. It 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. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0043] The method for identifying errors and violations in operation risk assessment based on operation plan sheets provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. The terminal 12 communicates with the server 14 through the network. The data storage system can store 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, the data storage system can store multiple job schedules and multiple work tickets in the power grid management system. 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, a server cluster or distributed system composed of multiple physical servers, or 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 The power grid management system in the terminal 12 is taken as an example to illustrate, including the following steps 101 to 102 or steps 101 to 103. Among them:

[0045] Step 101: Acquire 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 access 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, the work ticket number, the unit and team, the person in charge of the work and the total number of people in the work team, the planned start time, the planned end time, the people in the work team, the work tasks, the name of the power outage line and the nature of the personnel, etc.

[0049] For example, by executing step 101, the work plans and work tickets 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 which work plans have risk assessment errors among the extracted work plans.

[0050] Step 102: extract a pre-selected plan sheet from multiple work plan sheets based on preset filtering conditions, and extract a pre-selected work sheet bound to the pre-selected plan sheet from multiple work sheets; extract a target work sheet from the pre-selected work sheet based on a preset type, 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 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.

[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 type and number of preset screening conditions. For example, the preset screening condition can 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 can be fixed or can 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 can also be called 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 the 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, based on the pre-set screening method, that is, the preset type, the pre-selected work tickets that meet the pre-selected type are extracted from the pre-selected work tickets as the target work tickets. 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. Wherein, 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 operation plan and the work ticket can be achieved by selecting the plan number in the operation plan and the plan number (or work ticket number) in the work ticket to achieve the binding between the two; but this is only an optional implementation method provided by this application, and this 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 above-mentioned method for identifying errors and violations in operation risk assessment based on the operation plan sheet, which is implemented based on the execution of steps 101 and 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 a risk assessment error.

[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 assessed risk level from the data included in each work plan. The first assessed risk level here can be, for example, a manually assessed risk level. Each work plan records manual risk assessment data for the plan. The manual assessment data here can be experts with extensive experience in the power grid industry. Furthermore, a pre-built risk assessment rule base can be called to perform intelligent risk assessment on each work plan. The intelligent risk assessment, for example, compares 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 to obtain risk assessment data corresponding to at least part of the data information in the work plan. Based on this risk assessment data, a second assessed risk level for the work plan is then obtained. The second assessed risk level here can be referred to as 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. If 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. If 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 an 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 the information included in each operation plan sheet The first assessment risk level of the operation plan sheet is determined; the risk assessment rule library 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 cause of the operation plan sheet with a risk assessment error, so as to reduce or avoid the problem of subsequent risk assessment errors in the operation plan sheet, thereby helping to improve the accuracy of relevant data in the subsequent operation plan sheets.

[0059] Please continue to refer to Figure 2 In an exemplary embodiment, the "extracting a pre-selected plan sheet from multiple operation plan sheets based on preset screening conditions" performed in the above step 102 can be specifically performed as: extracting a pre-selected plan sheet from multiple operation plan sheets based on the preset screening conditions including the preset operation status, preset profession and / or preset risk level.

[0060] That is, this application provides several preset screening conditions, of which the types to be selected are: preset operation status, preset profession, and preset risk level. However, these are only several selectable screening conditions provided by this application, and the preset screening conditions can be adjusted based on different needs. For the three preset screening conditions of preset operation status, preset profession, and preset risk level provided by this application, when extracting a pre-selected plan from multiple operation plans, it can be set to require that all three screening conditions be met at the same time, or it can be set to require that only one or two of the screening conditions be met. This application does not make any specific restrictions on this.

[0061] Please refer to Figure 2 and Figure 3 Regarding the method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented based on the execution of steps 101 and 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 acquiring 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, etc., and the work ticket is obtained in the work ticket management.

[0065] Step S12: Filter out the work plan sheets with a work status of "interval" or "completed", a major of "marketing", and a risk level of "acceptable".

[0066] Step S13: Find the work ticket associated with the plan order, that is, query the corresponding work ticket by the plan order number. The plan order number is matched with the plan order number bound to the work ticket. If the corresponding work ticket can be found by the plan order number, the type of work ticket is determined. If the work ticket type is "plant station first type work ticket", "line first type work ticket", or "distribution first type work ticket", then the plan order is judged to have a risk assessment classification error.

[0067] Among them, it needs to be explained that Figure 3 The "whether it is a certain type of ticket" corresponds to whether it is a "first type of work ticket for the plant station" or "first type of work ticket for the line" or "first type of work ticket for power distribution". Figure 3 The corresponding term for “determining a violation” is “determining that the plan is an error in risk assessment and grading.”

[0068] The "operation status," "professional," and "risk level" provided in step S12 are examples of the preset screening conditions described in step 102. The "plant station first type work ticket," "line first type work ticket," and "distribution first type work ticket" provided in step S13 are examples of the preset types described in step 102.

[0069] It can be seen that the idea behind the identification of operational risk assessment errors and violations based on work plan sheets provided in this application is to obtain two data sources: "work plan sheets" and "work tickets"; and to filter out work plan sheets that have not undergone risk assessment, have incorrect risk assessment ratings, or have not specified risk control measures as required, based on certain conditions. In other words, for the work 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 step 103 of calling the risk assessment rule base based on the work plan and the work ticket to obtain the second assessed risk levels of the plurality of work plan orders can be implemented by executing the following steps:

[0071] Calling a risk assessment rule library built 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 a project type risk value, an operator capability risk value, and an operation 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 library stores methods for calculating risk scores for work plans. The risk scores for work plans can be calculated based on at least one of the project type risk, operator capability risk, and work environment and time impact risk values ​​included in the work plan. The risk scores for work plans can be determined based on several of these three factors, and different options can be selected based on needs.

[0075] Furthermore, for the conversion of the risk score value of the work plan sheet 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 sheet 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 an operation plan sheet implemented by executing steps 101 and 103 provided in this 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: Obtain 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: Attribute information associated with each first assessment factor is obtained from the work ticket bound to the work plan, and based on the attribute information, historical violations corresponding to each first assessment factor are extracted from a historical violation database to determine a first assessment result corresponding to each first assessment factor. Based on the determined first assessment result, a first risk score corresponding to each first assessment factor is obtained from a first preset mapping relationship.

[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, and 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, attribute information associated with each first assessment factor is obtained from the work ticket bound to the work plan. Based on this acquired attribute information, the historical violation records corresponding to each first assessment factor are extracted from the historical violation database. Based on the determined historical violation records, a target assessment result is determined from the first assessment results associated with the corresponding first assessment factor. Based on the determined first assessment result (target assessment result), a corresponding first risk score is obtained. This method obtains the first risk score corresponding to each first assessment factor, and then, based on the first risk score corresponding to each first assessment factor, the operator's capability risk value can be determined.

[0082] This application does not make any specific restrictions on the conversion method between the first risk value score corresponding to each first assessment factor and the operator capability risk value. For example, the average value of the first risk value score 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 score corresponding to each first assessment factor into the 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 an operation plan sheet implemented by the execution of step 101 and step 103 provided in this 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, because some first assessment factors cannot automatically determine corresponding assessment results based on the system, at least some of the first assessment factors may be manually determined to determine which first assessment result is associated with them, and then the first risk score corresponding to the first assessment factor is obtained based on the determined first assessment result. When manually determining the first assessment result associated with the first assessment factor, reference may be made to a pre-set first assessment rule, which specifies how to determine the first assessment result corresponding to the first assessment factor, thereby facilitating improving the accuracy of the manually determined first assessment result corresponding to the first assessment factor.

[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 an operation plan sheet implemented by executing steps 101 and 103 provided in this application may further include the following steps 135 to 137. Steps 135 to 137 are used to obtain the risk values ​​of the operating environment and time impact. 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 impact risk value, a second assessment result, and a second risk value score;

[0087] Step 136: extracting historical data corresponding to each second assessment factor from a historical information database based on the work 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 values ​​based on the second risk value scores corresponding to the second assessment factors.

[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 work schedules, historical data corresponding to each second assessment factor can be extracted from the system's historical information library. The historical data can then be used to determine the specific second assessment result corresponding to that second assessment factor. Specifically, a target assessment result can be determined from the second assessment results associated with the corresponding second assessment factor. The corresponding second risk score can then be obtained based on the determined second assessment result (target assessment result). This approach allows the second risk score corresponding to each second assessment factor to be obtained. The operational environment and time impact risk values ​​can then be determined based on the second risk scores corresponding to each second assessment factor.

[0091] This application does not make any specific restrictions on the conversion method between the second risk value score corresponding to each second assessment factor and the operating environment and time impact risk value. For example, the average value of the second risk value score corresponding to each second assessment factor can be used as the operating environment and time impact risk value, or other more appropriate methods can be used to convert the average value of the second risk value score corresponding to each second assessment factor into the operating environment and time impact risk value.

[0092] Please continue to refer to Figure 2 In an exemplary embodiment, the method for identifying errors and violations in operation risk assessment based on an operation plan sheet implemented by the execution of steps 101 and 103 provided in this 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, because some second assessment factors cannot automatically determine corresponding assessment results based on the system, at least some of the second assessment factors may be manually determined to determine which second assessment result is associated with them, and then the second risk score corresponding to the second assessment factor is obtained based on the determined second assessment result. When manually determining the second assessment result associated with the second assessment factor, reference may be made to pre-set second assessment rules, which describe the method for determining the second assessment result corresponding to the second assessment factor, thereby facilitating improving the accuracy of the second assessment result corresponding to the manually determined second assessment factor.

[0094] Please continue to refer to Figure 2 In an exemplary embodiment, after step 102 or step 103 is completed, 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 steps:

[0095] Based on the job plan sheet 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 displays at least the job plan sheet, the work ticket bound to the job plan sheet, and the first assessment risk level of the job plan sheet.

[0096] That is, when a job plan sheet with a risk assessment error is identified among multiple job plans, the result can be output, specifically in the form of an output result form, so that relevant users can review the result, which is conducive to the subsequent analysis of the cause of the error in the job plan sheet with a risk assessment error, so as to reduce or avoid the subsequent problem of risk assessment errors in the job plan sheet, thereby helping to improve the accuracy of relevant data in subsequent job plan sheets.

[0097] Please refer to Figure 2 Regarding the method for identifying errors and violations in operation risk assessment based on the operation plan sheet implemented based on the execution of steps 101 and 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 "work plan" is acquired. Specifically, the work plan data can be queried in the work plan library through paths such as the power grid management platform, personal risk prevention and control, work management, and work plan library.

[0099] Step S22: Check the operation risk assessment from the operation plan risk value details and obtain the manually assessed operation risk data (first assessment risk level). Figure 4Provides a schematic diagram of the display information of the risk value details of the work plan in an embodiment, 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 "operation 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 adopt the system automatic scoring.

[0102] Specifically, this application describes the "operator capability risk value".

[0103] The "Operator Capacity Risk Value" includes assessment factors such as "Safety Awareness of Work Leaders (including Group Leaders)," "Worker Mental State and Fatigue Level," "Safety Awareness of Key Team Members (excluding Support Workers)," "Safety Awareness of Guardians (including Full-time Guardians)," "Total Number of Workers," "Temporary Changes in Workers," and "Nature of Personnel." The specific scoring criteria for each assessment factor are shown in Table 1.

[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 work leader (including the team leader): If there has been one or more Class A violations within three years, the work leader is directly retrieved from the "Work Leader" attribute of the work ticket, and the team leader is extracted from the "Team Member" attribute of the work ticket. Based on the work leader's name, the total number of Class A violations within three years is queried from the violation database. If there has been one or more violations, the risk score is 6.

[0108] For 1 or more Class B, C, or D violations within 3 years: the same approach as above.

[0109] For 0-2 Class D violations within 3 years: the idea is the same as above.

[0110] Second, the worker's mental state and fatigue level: The worker's mental state changes in real time, and the system cannot accurately judge it. Therefore, this evaluation factor can be based on manual evaluation. The system directly uses the manual evaluation value as the final evaluation value.

[0111] Third, safety awareness of key team members (excluding auxiliary workers): Extract the team member's name from the "Team Member" attribute of the work ticket. Based on the team member's name, query the violation database for the total number of violations of each type. If a certain requirement is met, the corresponding risk value is calculated. The approach is the same as in "Option 1" above.

[0112] Fourth, the security awareness of guardians (including full-time guardians): The idea is the same as the above "first" and "third". The guardian's name is obtained from the "guardian" attribute of the work ticket.

[0113] Fifth, total number of workers: extract the total number of workers from the "Team Members" attribute of the work ticket.

[0114] Sixth, temporary personnel changes: For temporary changes to the person in charge of a work on the same day, compare the "Change Time" in the work ticket's Change column with the "Start Time" in the corresponding plan sheet to see if they are on the same day. If they are, it is considered a temporary personnel change. Note: "Start Time" can be obtained from, for example, the work ticket, the associated construction work plan sheet, the full view, plan execution, and then obtaining the start time from the list. The person in charge of the work must confirm it one day before the work (including any interruptions in work): Use the process of elimination to determine.

[0115] 7. Personnel Type: External construction unit labor personnel: Not considered for now. External construction unit personnel: Determine by the "external unit" attribute of the work ticket. If "yes", it is determined to be an external construction unit personnel. Internal unit personnel: Determine by the "external unit" attribute of the work ticket. If "no", it is determined to be an internal unit personnel.

[0116] This application explains how the operating environment and time affect risk values.

[0117] The "Work Environment and Time Impact Risk Value" includes the following assessment factors: "Weather," "Work Location," "Work Type," "Work Time," "Daily Work Duration (Fatigue)," "Plan Nature," and "Critical and Important Sites (Routes)." The specific scoring criteria for each assessment factor are shown in Table 2.

[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 operation duration (fatigue): The above evaluation factors cannot accurately evaluate the results based on data from the existing internal power system. Therefore, the system can choose to directly use the manually evaluated value as the final evaluation value.

[0122] Second, the nature of the plan: Temporary tasks created today: Compare the "Creation Time" and "Actual Start Time" of the plan sheet. If they match, the task is considered a temporary task created today. Temporary tasks created one day in advance: Compare the "Creation Time" and "Actual Start Time" of the plan sheet. If the "Creation Time" is one day before the "Actual Start Time," the task is considered a temporary task created today. Planned work: Use the process of elimination.

[0123] Third, key and important stations (lines): Key and important stations (lines): Determine by reading the key and important station dictionary table. Non-key and important stations (lines): Determine by reading the non-key and important station dictionary table.

[0124] Step S24: Convert the automatically calculated risk value into a corresponding risk level. The corresponding relationship between risk value and risk level is as follows: Acceptable risk: 0-19; Low risk: 20-69; Medium risk: 70-199; High risk: 200 and above. The automatically calculated risk level is then matched with the manually assessed risk level. If the levels do not match, it is determined that the risk assessment and grading are incorrect.

[0125] Step 25: Output the results. This is done in an Excel spreadsheet (a type of spreadsheet), generating two sheets (work tickets). One sheet contains the identification results, including the following attributes: plan sheet, work ticket, violation reason, original risk level, identified risk level, original risk value, and identified risk value. The other sheet compares the risk values ​​automatically identified by the system and the manual assessment of each assessment factor.

[0126] As can be seen, the approach to identifying operational risk assessment errors and violations based on operational plan sheets provided in this application is to obtain the "operation plan sheet" data source. The risk level manually assessed on the grid management platform plan sheet is used as a reference and compared with the risk level automatically assessed by the system. If the risk levels of the manually assessed and system-assessed risk levels are inconsistent, it is determined that the risk assessment classification is incorrect.

[0127] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed 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 portion of steps or stages in other steps.

[0128] Based on the same inventive concept, embodiments of the present application also provide a device for identifying errors and violations in operation risk assessments based on a work plan sheet, which is used to implement the aforementioned method for identifying errors and violations in operation risk assessments based on a work plan sheet. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for identifying errors and violations in operation risk assessments based on a work plan sheet provided below can be found in the aforementioned limitations of the method for identifying errors and violations in operation risk assessments based on a work plan sheet, 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 work schedules 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 a 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 a plurality of work sheets; based on a preset type, extract a target work sheet from the pre-selected work sheet, 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 characteristic 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 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 error.

[0133] In an exemplary embodiment, the preset screening conditions include a preset operation 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 work plan and work ticket to obtain at least one of the project type risk value, operator capability risk value, work environment and time impact risk value of each work plan; determine the risk score value of the work plan based on at least one of the project type risk value, operator capability risk value, work environment and time impact risk value of the work plan; and obtain the second assessment risk level of each work plan based on the preset correlation relationship 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, a first assessment result and a first risk value score associated with the operator's capability risk value; 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; and 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 represents 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 represents 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 sheet also includes a result output module, which is used to output a result form based on the operation plan sheet 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 sheet, the work ticket bound to the operation plan sheet, and the first assessment risk level of the operation plan sheet.

[0140] Each module in the aforementioned work plan-based error and violation identification device for work risk assessment can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[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, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via 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 internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication, and the wireless communication can be achieved via Wi-Fi, a mobile cellular network, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for identifying errors and violations in operation risk assessment based on an operation plan. The display unit of the computer device is used to form a visually visible image and 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 casing, 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 shown in the figure, or combine certain components, or have a different component arrangement.

[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] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. 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. In particular, any reference to memory, database, or other media used in the embodiments provided in this 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. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0147] The technical features of the above embodiments can be combined arbitrarily. In order 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 merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended 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 includes: Obtaining multiple work schedules and multiple work tickets in the power grid management system; A preselected plan sheet is extracted from a plurality of the work plan sheets based on a preset screening condition, and a preselected work sheet bound to the preselected plan sheet is extracted from a plurality of the work sheets; a target work sheet is extracted from the preselected work sheet based on a preset type, and the preselected plan sheet bound to the target work sheet is determined 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; wherein, the characteristic information includes at least one of a preset work status, a preset profession and a preset risk level, the preset work status includes an intermittent state and a completed state, the preset profession includes a marketing profession, and the preset risk level includes an acceptable risk level; or, Obtain the manual first assessment risk level included in each of the work plan sheets; call the risk assessment rule library constructed based on the work plan sheets and the work tickets to obtain the intelligent second assessment risk level of multiple work plan sheets; when the second assessment risk level corresponding to the same work plan sheet is different from the first assessment risk level, determine that the work plan sheet with the difference is the work plan sheet with the risk assessment error.

2. The method according to claim 1, characterized in that The calling of a risk assessment rule base constructed based on the work plan and the work ticket to obtain a second assessed risk level of a plurality of the work plan, including: Calling a risk assessment rule library constructed based on the work plan and the work ticket to obtain at least one of a project type risk value, an operator capability risk value, and an operating environment and time impact risk value for each of the work plan; Determining 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 correlation between the risk score value and the second assessed risk level, the second assessed risk level of each of the work plan sheets is obtained.

3. The method according to claim 2, 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; Acquiring attribute information associated with each first assessment factor from the work ticket bound to the work plan, extracting historical traffic violation information corresponding to each first assessment factor from a historical traffic 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 from 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 score corresponding to each of the first assessment factors.

4. The method according to claim 3, characterized in that Also includes: For at least part of the first evaluation factors, the first evaluation result corresponding to the first evaluation factor is determined based on a preset first evaluation rule, and the first risk value score corresponding to the first evaluation factor is obtained in the first preset mapping relationship based on the determined first evaluation result; wherein the preset first evaluation rule represents the association relationship between the pre-set first evaluation factor and the corresponding first evaluation result.

5. The method according to claim 2, characterized in that Also includes: Obtaining a second preset mapping relationship between at least one second assessment factor associated with the operating environment and time impact 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 work 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.

6. The method according to claim 5, 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 the 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 represents the association relationship between the pre-set second assessment factor and the corresponding second assessment result.

7. The method according to any one of claims 1 to 6, characterized in that Also includes: Based on the job plan sheet 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 sheet, the work ticket bound to the job plan sheet, and the first assessment risk level of the job plan sheet.

8. 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 includes: A data acquisition module, configured to acquire a plurality of operation plans and a plurality of work tickets in the power grid management system; A data processing module, for extracting a preselected plan sheet from a plurality of the work plan sheets based on a preset screening condition, and extracting a preselected work sheet bound to the preselected plan sheet from a plurality of the work sheets; extracting a target work sheet from the preselected work sheet based on a preset type, and determining the preselected 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; wherein the characteristic information includes at least one of a preset work status, a preset profession and a preset risk level, the preset work status includes an intermittent state and a completed state, the preset profession includes a marketing profession, and the preset risk level includes an acceptable risk level; or, Used to obtain the manual first assessment risk level included in each of the work plan sheets; call the risk assessment rule library constructed based on the work plan sheets and the work tickets to obtain the intelligent second assessment risk level of multiple work plan sheets; when the second assessment risk level corresponding to the same work plan sheet is different from the first assessment risk level, determine that the work plan sheet with the difference is the work plan sheet with the risk assessment error.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

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

Images