A nuclear power plant work order risk analysis system and method
By introducing multiple analysis methods and intelligent recommendation mechanisms into the nuclear power plant work order risk analysis system, the problems of insufficient risk identification and reliance on manual review in existing technologies have been solved. This has enabled accurate identification and consistency review of nuclear power work orders, improved the flexibility and reliability of the analysis, and reduced safety hazards.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CNNC NUCLEAR POWER OPERATION MANAGEMENT CO LTD
- Filing Date
- 2026-03-31
- Publication Date
- 2026-06-12
Smart Images
Figure CN122198653A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of nuclear power plant work order risk analysis technology, specifically to a nuclear power plant work order risk analysis system and method. Background Technology
[0002] In the operation and maintenance and production management system of nuclear power plants, work orders are the core carriers for equipment defects, maintenance operations, isolation permits, hazard reporting, emergency response, and experience feedback. The standardization of their content and the controllability of risks are directly related to the safety and compliance management of the unit.
[0003] The existing risk analysis of work orders for nuclear power plants has the following problems: Insufficient risk identification capability in work order content, posing a risk of missed detection of security hazards. Existing text analysis can only identify general sensitive words and cannot identify high-risk content in nuclear power scenarios, such as non-standard defect descriptions, missing key parameters, incorrect safety measures, ambiguous instructions, concealment / underreporting of hidden dangers, and incorrect isolation conditions. This can easily lead to risk work orders being directly injected into the field for execution.
[0004] Over-reliance on manual review leads to significant human error. Nuclear power work orders are highly specialized, have complex rules, and have stringent review standards. Manual review is prone to fatigue, experience differences, inconsistent judgments, omissions, and misjudgments, which violate the nuclear power principles of "certainty, consistency, and reproducibility" and bring human safety risks.
[0005] The lack of an intelligent recommendation mechanism prevents the experience feedback loop from being closed. Nuclear Power Helper highly values experience feedback and standardized processing, but the existing system does not support pushing similar work orders, standard processing solutions, procedures, and historical experience based on content similarity, resulting in the recurrence of similar problems and non-standard processing, creating potential safety and quality hazards.
[0006] Recommendation algorithms lack nuclear power business constraints and are prone to misleading. General content recommendations rely solely on keyword matching without considering nuclear power system boundaries, equipment codes, defect levels, risk levels, and regulations. This can easily lead to the recommendation of irrelevant, unusable, or even incorrect solutions, posing a risk of on-site misoperation. Summary of the Invention
[0007] This invention addresses the shortcomings of existing technologies in high-safety, high-reliability, and high-compliance scenarios in nuclear power plants by providing a nuclear power plant work order risk analysis system and method based on multiple analysis approaches, achieving the following objectives: To achieve accurate risk identification of nuclear power plant work orders, and to prevent high safety risks such as incorrect risk descriptions, violations of safety measures, missing information, and concealment or omission from the source; Reduce human error and achieve unified review rules, consistent judgments, and reproducible results; Based on the similarity of work order content, intelligent recommendations are made for similar cases, standard processing solutions, procedural basis and experience feedback to promote a closed loop of nuclear power experience. It is deeply adapted to the nuclear power business system, providing practical, highly reliable, and highly available intelligent analysis and recommendation capabilities.
[0008] To achieve the above objectives, on the one hand, the present invention provides a nuclear power plant work order risk analysis system, including a user interface and a risk identification module; The user interface is used to manage data configuration and realize the functions of risk database configuration management, analysis logic flowchart drawing, analysis rule configuration and data push configuration. The risk identification module is used to perform rule calculations on work order data based on the analysis logic flowchart, obtain analysis results, and push them to an external platform through an interactive interface.
[0009] Furthermore, the user interface includes a risk database management module, an analysis rules module, and a data output module; The risk database management module is used to sort out the relationships of risk-related data, establish business models, and save modeling data to achieve data maintenance and management. The analysis rules module is used to identify business logic in the analysis logic. It configures the business analysis logic flowchart and analysis rules by establishing a custom flowchart, thereby realizing the management of analysis logic and rules. The data output module is used to adapt to external interfaces and realize data matching and push.
[0010] Furthermore, the risk-related data includes risks, licenses, protective measures, and procedures.
[0011] Furthermore, the risk database management module establishes business models, including establishing business models between operational risks and permits, permits and protective measures, protective measures and tools, and protective measures and procedures. The business models are not simple one-to-one associations, but rather, based on the risk level and type of the analysis results, a set of complete lists of permits, protective measures, tools, and procedures are dynamically matched and combined through a preset rule engine.
[0012] Furthermore, the risk identification module includes: The manual analysis function is used to respond to the user's click operation on the analysis logic flowchart. It guides the user to answer the results of each decision node in the flowchart through question-based questions and obtains the analysis results. The automatic analysis function is used to automatically analyze the flow of each node in the logic flowchart, automatically load the corresponding rules to analyze and calculate the judgment nodes, obtain the flow of the judgment node flowchart, and obtain the analysis results. The intelligent analysis function is used to automatically navigate through each node of the analysis logic flowchart. At each judgment node, a recommendation algorithm is used to obtain the result of that judgment node from historical data and then derive the analysis result.
[0013] Furthermore, the analysis results obtained by the risk identification module include risk items, which obtain corresponding attribute data such as licenses, protective measures, tools, and procedures through the business model.
[0014] Furthermore, the analysis results are pushed to various external platforms through the data output module.
[0015] To achieve the above objectives, the present invention provides a method for risk analysis of work orders in nuclear power plants, comprising the following steps: Establish a business model; Establish an analysis process; Set analysis rules; The results of risk analysis are obtained through process execution; Integrate relevant data with existing platforms.
[0016] Furthermore, the steps for establishing the analysis process include: Business processes can be drawn using a front-end online flowchart editing page to realize business analysis logic in the form of custom flowcharts; and the business processes can be bound to corresponding analysis scenarios. The nodes and flow logic of the analysis flowchart support drag-and-drop editing, enabling rapid changes and iterations of business analysis logic without modifying the underlying code, which greatly improves the system's adaptability and maintainability.
[0017] Furthermore, the steps for obtaining the risk analysis results through process execution include: It offers three analysis methods: automatic analysis, intelligent analysis, and manual analysis. The automatic analysis is performed by setting rules according to each decision node in the flowchart and combining them with the work package data for automatic analysis. The intelligent analysis utilizes intelligent recommendation algorithms to extract recommended data from historical data as judgment data for analysis, and then automatically performs the analysis. The system automatically updates the historical database based on the final results of each risk analysis and actual operational feedback, for use in training or reference for the next intelligent analysis, forming a self-optimizing closed loop. The manual analysis is conducted through guidance and questioning, with each step of the analysis being performed by the user selecting the results.
[0018] Beneficial technical effects of the present invention: The nuclear power plant work order risk analysis system and method of this invention achieves flexible and efficient work order risk analysis by integrating risk database management, analysis rule configuration, and various analysis functions such as manual, automatic, and intelligent analysis. Automatic and intelligent analysis functions reduce reliance on the personal experience of preparation personnel, avoid errors and omissions that may occur with manual judgment, and ensure the comprehensiveness and accuracy of risk identification through rules and algorithms. The manual analysis function provides a standardized analysis process to guide users through the analysis. Simultaneously, by associating the analysis results with business data models such as permits, protective measures, tools, and procedures, and automatically pushing them to external platforms, the work order preparation and risk assessment processes are integrated and synchronized, solving the problem of process fragmentation. These functions significantly reduce the workload of preparation engineers in risk analysis and data entry, and significantly improve work efficiency and operational safety. Attached Figure Description
[0019] Figure 1 This is a flowchart of a nuclear power plant work order risk analysis system according to an embodiment of the present invention.
[0020] In the diagram: ① Work order data; ② Analysis rules module, which loads the analysis logic flowchart and rules; ③ Risk identification module performs analysis; ④ Analysis result data acquisition; ⑤ Data push to external platform. Detailed Implementation
[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein in the specification of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
[0022] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0023] The terms “include,” “comprising,” or any other variation thereof are intended to cover non-exclusive inclusion, which includes not only the elements listed but also other elements not expressly listed.
[0024] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments.
[0025] This embodiment provides a nuclear power plant work order risk analysis system. The system is based on a B / S architecture and uses HTTP connection for data interaction. It includes a user interface and a risk identification module. The user interface is used to manage data configuration and realize the functions of risk database configuration management, analysis logic flowchart drawing, analysis rule configuration and data push configuration. The risk identification module is used to perform rule calculations on work order data based on the analysis logic flowchart, obtain analysis results, and push them to an external platform through an interactive interface.
[0026] In this embodiment, the user interface includes a risk database management module, an analysis rules module, and a data output module; The risk identification module includes manual analysis, automatic analysis, and intelligent analysis functions. The risk database management module is used to sort out the relationships of risk-related data and establish business models, while saving the modeling data for data maintenance and management. The risk-related data includes risks, licenses, protective measures, and procedures. The business model is not a simple one-to-one association, but rather a set of complete license, protective measures, tools, and procedures lists that are dynamically matched and combined based on the risk level and type of the analysis results through a preset rule engine. The analysis rules module is used to identify business logic in the analysis logic. It configures the business analysis logic flowchart and analysis rules by establishing a custom flowchart, thereby realizing the management of analysis logic and rules. The data output module is used to adapt to external interfaces and realize data matching and push. The manual analysis function is used to manually analyze work order data. During manual analysis, the user clicks on the analysis logic flowchart, and the system guides the user to answer the results of each judgment node in the flowchart through questions. The results selected by the user will be highlighted one by one on each connecting line of the analysis logic flowchart. After the analysis is completed, the final analysis result is obtained. The automatic analysis function is used to automatically analyze work order data. During automatic analysis, the system automatically performs the flow of each node in the analysis logic flowchart, analyzes and calculates the judgment nodes, automatically loads the corresponding rules during analysis, substitutes the values corresponding to the work order data into the rules for calculation, obtains the flowchart flow of the judgment nodes, and finally obtains the analysis results. The intelligent analysis function is used to perform intelligent analysis on work order data. During intelligent analysis, the system automatically flows through each node of the analysis logic flowchart. When analyzing and calculating the judgment node, the system uses a recommendation algorithm to obtain the result of the judgment node from historical data and finally obtains the analysis result.
[0027] In this embodiment, the analysis results obtained by the risk identification module include risk items, which obtain corresponding attribute data such as licenses, protective measures, tools, and procedures through the business model.
[0028] In this embodiment, the analysis results are pushed to various external platforms through the data output module. This embodiment also provides a nuclear power plant work order risk analysis method, applying the aforementioned nuclear power plant work order risk analysis system, including the following steps: Step 101: Establish a business model This step further includes: establishing business models for the relationships between operational risks and permits, permits and protective measures, protective measures and tools, and protective measures and procedural attributes, respectively. This step is completed in the risk database management module, which lays the foundation for subsequent risk analysis and data push by sorting out and linking various risk-related data; Step 102: Establish the analysis workflow This step further includes: drawing business processes through the front-end online flowchart editing page to realize business analysis logic in the form of custom flowcharts; then binding the drawn business processes with the corresponding analysis scenarios to realize the function of analyzing by business processes and finally obtaining the corresponding operational risks; This step is completed in the analysis rules module, and users can flexibly configure the analysis logic through the user interface. The nodes and flow logic of the analysis flowchart support drag-and-drop editing, enabling rapid changes and iterations of business analysis logic without modifying the underlying code, which greatly improves the system's adaptability and maintainability. Step 103: Set analysis rules This step further includes: setting rules for each judgment node in the business process to provide basic judgment conditions for business process analysis. For example, rules such as "when the equipment type is A and the work content contains B, the judgment result is high risk" can be set for automatic analysis functions to call. Step 104: Obtain the risk analysis results through process execution. This step is completed through the risk identification module, which provides three different analysis methods: Automatic analysis: The system automatically loads the rules set in step 103, calculates each judgment node according to the flowchart established in step 102, and performs automatic analysis in combination with work order data; Intelligent Analysis: The system uses intelligent recommendation algorithms to obtain the recommendation results of the judgment node from historical data as the judgment data for analysis and automatically performs analysis; the system will automatically update the historical database based on the final results of each risk analysis and actual operation feedback, for use in the training or reference of the next intelligent analysis, forming a self-optimizing closed loop. Manual analysis: The system presents the decision nodes of the flowchart to the user one by one through guidance and questions, and the user manually selects the analysis results for each step to complete the entire analysis process; Step 105: Integrate relevant data with existing platforms This step is achieved through the data output module. After obtaining the risk analysis results, i.e. the risk items, in step 104, the system obtains the corresponding attribute data such as licenses, protective measures, tools, and procedures through the business model established in step 101. Then, the data output module adapts the external interface, matches and pushes the data to various external platforms, thereby realizing the integration of work order preparation and risk assessment processes.
[0029] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.
Claims
1. A nuclear power plant work order risk analysis system, characterized in that, include: The user interface is used to manage data configuration and realize functions such as risk database configuration management, analysis logic flowchart drawing, analysis rule configuration and data push configuration. The risk identification module is used to perform rule calculations on work order data based on the analysis logic flowchart, obtain analysis results, and push them to external platforms through an interactive interface.
2. The nuclear power plant work order risk analysis system according to claim 1, characterized in that, The user interface includes: The risk database management module is used to sort out the relationships of risk-related data and build business models, while saving the modeling data. The analysis rules module is used to identify business logic in the analysis logic. It enables the configuration of business analysis logic flowcharts and analysis rules by creating custom flowcharts, thereby achieving the management of analysis logic and rules. The data output module is used to adapt to external interfaces and realize data matching and push.
3. The nuclear power plant work order risk analysis system according to claim 2, characterized in that, The risk-related data includes risks, licenses, protective measures, and procedures.
4. The nuclear power plant work order risk analysis system according to claim 2, characterized in that, The risk database management module establishes business models, including establishing business models between operational risks and permits, permits and protective measures, protective measures and tools, and protective measures and procedures. Based on the risk level and type of the analysis results, the business models dynamically match and combine them through a preset rule engine to generate a complete list of permits, protective measures, tools, and procedures.
5. The nuclear power plant work order risk analysis system according to claim 2, characterized in that, The risk identification module includes: The manual analysis function is used to respond to the user's click operation on the analysis logic flowchart. It guides the user to answer the results of each decision node in the flowchart through question-based questions and obtains the analysis results. The automatic analysis function is used to automatically analyze the flow of each node in the logic flowchart, automatically load the corresponding rules to analyze and calculate the judgment nodes, obtain the flow of the judgment node flowchart, and obtain the analysis results. The intelligent analysis function is used to automatically navigate through each node of the analysis logic flowchart. At each judgment node, a recommendation algorithm is used to obtain the result of that judgment node from historical data and then derive the analysis result.
6. The nuclear power plant work order risk analysis system according to claim 5, characterized in that, The analysis results include risk items, which obtain corresponding license, protective measures, tools, and procedure attribute data through the business model, and are pushed to an external platform through the data output module.
7. The nuclear power plant work order risk analysis system according to claim 6, characterized in that, The analysis results are pushed to various external platforms through the data output module.
8. A method for risk analysis of work orders in nuclear power plants, applied to the nuclear power plant work order risk analysis system according to any one of claims 1-7, characterized in that, Includes the following steps: Establish a business model; Establish an analysis process; Set analysis rules; The results of risk analysis are obtained through process execution; Integrate relevant data with existing platforms.
9. The nuclear power plant work order risk analysis method according to claim 8, characterized in that, The steps for establishing the analysis process include: Business processes can be drawn using the online flowchart editing page on the front end, enabling business analysis logic in the form of custom flowcharts; Bind the business process to the corresponding analysis scenario; The nodes and flow logic of the analysis flowchart can be edited by dragging and dropping without modifying the underlying code.
10. The nuclear power plant work order risk analysis method according to claim 8, characterized in that, The steps for obtaining the risk analysis results through process execution include: It offers three analysis methods: automatic analysis, intelligent analysis, and manual analysis. The automatic analysis is performed by setting rules according to each decision node in the flowchart and combining them with the work package data for automatic analysis. The intelligent analysis uses intelligent recommendation algorithms to obtain recommended data from historical data as the judgment data for analysis, and then automatically performs the analysis. The system automatically updates the historical database based on the final results of each risk analysis and actual operation feedback, which is used for training or reference for the next intelligent analysis, forming a self-optimizing closed loop. The manual analysis is conducted through guidance and questioning, with each step of the analysis being performed by the user selecting the results.