A method and device for pre-maintenance optimization of nuclear power plant equipment

Abstract

This application belongs to the field of nuclear power plant equipment reliability management technology, specifically relating to a method and apparatus for pre-maintenance optimization of nuclear power plant equipment. This application addresses the technical problems in existing technologies, such as incomplete identification of critical / potentially critical equipment, widespread over-maintenance of non-critical equipment, and insufficient dynamic optimization management of equipment classification and pre-maintenance outlines, by sequentially conducting equipment classification, pre-maintenance analysis, and pre-maintenance project comparison for each piece of equipment within the system.

Description

Technical Field

[0001] This application belongs to the field of nuclear power plant equipment reliability management technology, specifically relating to a method and apparatus for pre-maintenance optimization of nuclear power plant equipment. Background Technology

[0002] Currently, equipment reliability management has become a crucial tool for domestic nuclear power plants to achieve excellent operating performance. Although operating power plants have completed equipment classification and pre-maintenance outline development and established equipment reliability management systems, operational practices show that some power plants still have insufficient effectiveness in equipment classification and pre-maintenance outlines. This is mainly manifested in the following ways: 1) Incomplete identification of critical / potentially critical equipment: When screening critical equipment (SPVs), power plants do not conduct a comprehensive analysis of the different failure modes and consequences of critical equipment, nor do they conduct multiple failure analyses of latent equipment failures. This results in some critical equipment failure modes and potential critical equipment not being identified. Latent equipment failures are one of the important factors leading to reduced system reliability, and properly handling latent equipment failures is one of the important means to improve the operational reliability of power plants; 2) The development of pre-maintenance outlines is largely disconnected from equipment classification. Pre-maintenance projects are not correlated with critical equipment failure modes, resulting in a lack of specificity in the pre-maintenance outlines. Power plant equipment pre-maintenance is often based on the equipment manufacturer's requirements, rather than on the equipment failure modes and consequences. As a result, the problem of over-maintenance of non-critical equipment is quite common, leading to high pre-maintenance costs in power plants; 3) There are shortcomings in the dynamic optimization management of equipment classification and pre-maintenance outline. The equipment classification process and pre-maintenance outline in power plants have not been fully informatized and digitized. The relevant equipment classification and outline information is still mainly carried out in paper technical reports. The query, dynamic improvement and application of relevant information are greatly limited, which restricts the equipment classification from playing its due role. Summary of the Invention

[0003] In view of this, this application provides a method and apparatus for pre-maintenance optimization of nuclear power plant equipment. By taking the system as a unit, the method sequentially carries out equipment classification, pre-maintenance analysis and pre-maintenance project comparison for each piece of equipment in the system, in order to solve the technical problems of incomplete identification of key / potential key equipment, the common problem of over-pre-maintenance of non-key equipment, and the lack of dynamic optimization management of equipment classification and pre-maintenance outline in the prior art.

[0004] The first aspect of this application provides a method for pre-maintenance optimization of nuclear power plant equipment, which includes the following steps.

[0005] Step 1: Identify the target equipment in the nuclear power plant system to be analyzed.

[0006] Step 2: Determine whether the target device type is conditional judgment analysis or failure consequence analysis.

[0007] Step 3: If it is a conditional judgment analysis, the criticality level of the target device is directly determined according to the set judgment clauses. The criticality levels are divided into critical level 1, critical level 2, important level, and general level, from the highest level to the lowest.

[0008] Step 4: If it is a failure consequence analysis, then according to the equipment type of the target equipment, obtain all common patterns of the target equipment from the preventive maintenance template database.

[0009] Step 5: Determine the explicitness or implicitness of all common failure modes of the target device.

[0010] Step 6: If one of the common failure modes is an explicit failure, then perform a single failure analysis to obtain the failure analysis results. Single failure analysis analyzes the impact of a single failure on system function and the unit.

[0011] Step 7: If one of the common failure modes is a latent failure, perform a superimposed failure analysis to obtain the failure analysis results. Superimposed failure analysis analyzes the impact of multiple failures on system function and the unit.

[0012] Step 8: Based on the failure analysis results and the equipment criticality determination criteria, determine all criticality levels corresponding to all common failure modes.

[0013] Step 9: Select the highest criticality level among all criticality levels corresponding to all common failure modes as the criticality level of the target device.

[0014] Step 10: Determine whether the criticality level of the target device is higher than the general level.

[0015] Step 11: If the failure level is higher than the general level, then formulate a pre-maintenance project based on the failure causes corresponding to all common failure modes of the target equipment.

[0016] Step 12: Compare the proposed pre-maintenance projects with the existing pre-maintenance projects and propose pre-maintenance optimization suggestions.

[0017] Step 13: If the level is not higher than the general level, then the analysis ends.

[0018] In one specific embodiment of this application, after step 3, the nuclear power plant equipment pre-maintenance optimization method further includes steps 3-1 and 3-2.

[0019] Step 3-1: Determine whether the criticality level of the target equipment reaches critical level 1 or critical level 2.

[0020] Step 3-2: If the failure impact of the target equipment reaches critical level 1 or critical level 2, then the analysis type of the target equipment will be changed from conditional judgment analysis to failure consequence analysis.

[0021] In one specific embodiment of this application, step 11 includes steps 11-1 to 11-3.

[0022] Step 11-1: Determine the operating frequency and operating environment of the target equipment. The operating frequency is categorized as high or low. The operating environment is categorized as favorable or unfavorable.

[0023] Step 11-2: Based on the criticality level, operating frequency, and operating environment of the target equipment, and according to the critical failure modes in the target equipment classification data, obtain the failure causes, pre-maintenance tasks, and pre-maintenance cycles corresponding to the critical failure modes from the preventive maintenance database.

[0024] Step 11-3: Based on the failure causes, pre-maintenance tasks, and pre-maintenance cycles corresponding to the critical failure modes, formulate pre-maintenance projects.

[0025] In one specific embodiment of this application, step 12 includes steps 12-1 to 12-4.

[0026] Step 12-1: Extract the existing pre-maintenance items corresponding to the target equipment from the power plant production system.

[0027] Step 12-2: Compare the proposed pre-maintenance projects with the existing pre-maintenance projects.

[0028] Step 12-3: If the pre-maintenance project is the same as the existing pre-maintenance project, then keep the existing pre-maintenance project unchanged.

[0029] Step 12-4: If the pre-maintenance project is different from the existing pre-maintenance project, then propose pre-maintenance optimization suggestions.

[0030] A second aspect of this application provides a nuclear power plant equipment pre-maintenance optimization device, which includes an equipment classification module, a pre-maintenance analysis module, a pre-maintenance project comparison module, and a database module. The equipment classification module is used to determine whether the target equipment type is conditional judgment analysis or failure consequence analysis, and to analyze the criticality level of the target equipment. The pre-maintenance analysis module is connected to the equipment classification module and is used to formulate pre-maintenance projects for target equipment above the general level. The pre-maintenance project comparison module is connected to the pre-maintenance analysis module and is used to compare the formulated pre-maintenance projects with existing pre-maintenance projects, and to propose pre-maintenance optimization suggestions. The preventive maintenance template database module, connected to the equipment classification module and the pre-maintenance analysis module, is used to provide the equipment classification module and the pre-maintenance analysis module with standardized preventive maintenance template data associated with equipment failure modes, maintenance tasks, and functional level failure modes.

[0031] In one specific embodiment of this application, the nuclear power plant equipment pre-maintenance optimization device further includes a report and query module. The report and query module is connected to the equipment classification module, the pre-maintenance analysis module, and the pre-maintenance project comparison module, and is used to query and output reports. The reports include equipment classification data corresponding to the equipment classification module, pre-maintenance analysis process data corresponding to the pre-maintenance analysis module, and pre-maintenance optimization data corresponding to the pre-maintenance project comparison module.

[0032] In one specific embodiment of this application, the nuclear power plant equipment pre-maintenance optimization device further includes a data statistics and display module. The data statistics and display module is used to summarize and display equipment-related data. This equipment-related data includes equipment classification results, the number of pre-maintenance projects, pre-maintenance man-hours, the number of pre-maintenance optimizations, and the number of preventative maintenance templates maintained.

[0033] In one specific embodiment of this application, the nuclear power plant equipment pre-maintenance optimization device further includes an equipment information module. The equipment information module is used to display system and equipment-related data. This data includes basic system and equipment information, system technical data, equipment technical data, and maintenance information.

[0034] A third aspect of this application provides a computer apparatus including a processor and a memory. The processor is used to execute a nuclear power plant equipment pre-maintenance optimization method according to the first aspect of this application. The memory is used to store executable instructions of the processor.

[0035] The fourth aspect of this application provides a computer-readable storage medium storing executable instructions for a computer. When executed by a processor, the executable instructions implement a nuclear power plant equipment pre-maintenance optimization method according to the first aspect of this application.

[0036] The fifth aspect of this application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements a nuclear power plant equipment pre-maintenance optimization method according to the first aspect of this application.

[0037] The beneficial effects of the technical solution in this application are as follows: This method and apparatus can comprehensively identify equipment failure modes, formulate effective preventive maintenance measures, and dynamically manage the analysis data. It solves the problems of low reliability and efficiency, high cost and management difficulties of traditional equipment, and improves the equipment reliability management level of nuclear power plants.

[0038] Compared to other equipment classification methods that start with system function analysis, this method starts with equipment analysis and classifies the equipment, thereby improving analysis efficiency while ensuring accuracy.

[0039] Pre-maintenance projects were developed for key and important failure modes in equipment classification. During the analysis process, the pre-maintenance tasks and PMTs associated with functional level failure modes were invoked, which established a dynamic link between failure mode identification, equipment classification, and pre-maintenance outline. This ensured the standardization of failure modes and pre-maintenance projects and reduced the experience requirements for analysts.

[0040] This method enhances the identification of latent faults. Latent failures are analyzed using multiple failure methods, which overcomes the shortcomings of existing methods in that they are not easy to detect latent failure modes of equipment, and is more conducive to discovering hidden dangers in nuclear power plants. Attached Figure Description

[0041] Figure 1 The diagram shown is a flowchart illustrating a pre-maintenance optimization method for nuclear power plant equipment according to an embodiment of this application.

[0042] Figure 2 The diagram shown is a structural schematic of a nuclear power plant equipment pre-maintenance optimization device provided in an embodiment of this application. Detailed Implementation

[0043] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] At least one embodiment of this application provides a method for pre-maintenance optimization of nuclear power plant equipment, which includes the following steps.

[0045] Step 1: Identify the target equipment in the nuclear power plant system to be analyzed.

[0046] Step 2: Determine whether the target device type is conditional judgment analysis or failure consequence analysis.

[0047] For example, before equipment classification analysis, the equipment is divided into two analysis categories according to its type: conditional judgment analysis and failure consequence analysis. Equipment with simple functions and extremely low failure rates, such as manual valves and local indicating instruments, uses conditional judgment analysis; while complex active equipment such as pumps and motors uses failure consequence analysis. The two analysis types can be switched between as needed.

[0048] Step 3: If it is a conditional judgment analysis, the criticality level of the target device is directly determined according to the set judgment clauses. The criticality levels are divided into critical level 1 (S level), critical level 2 (A level), important level (B level), and general level (C level) from the highest to the lowest.

[0049] Step 4: If it is a failure consequence analysis, then according to the equipment type of the target equipment, obtain all common patterns of the target equipment from the preventive maintenance template database.

[0050] It should be noted that most devices have multiple failure modes.

[0051] Step 5: Determine the explicitness or implicitness of all common failure modes of the target device.

[0052] Step 6: If one of the common failure modes is an explicit failure, then perform a single failure analysis to obtain the failure analysis results. Single failure analysis analyzes the impact of a single failure on system function and the unit.

[0053] Step 7: If one of the common failure modes is a latent failure, perform a superimposed failure analysis to obtain the failure analysis results. Superimposed failure analysis analyzes the impact of multiple failures on system function and the unit.

[0054] Step 8: Based on the failure analysis results and the equipment criticality determination criteria, determine all criticality levels corresponding to all common failure modes.

[0055] The judgment criteria are shown in Table 1 below.

[0056] Table 1. Criteria for Determining Equipment Criticality Step 9: Select the highest criticality level among all criticality levels corresponding to all common failure modes as the criticality level of the target device.

[0057] For example, refer to Figure 1 The target device is device a. Device a has only one common failure mode. The task is to determine whether the failure mode is explicit or implicit. If the failure mode is implicit, a multi-failure analysis (multiple failure analysis) is required; if the failure mode is explicit, a single failure analysis is performed, and multi-failure analysis is not necessary. The impact of device a's failure mode on system functionality and unit operation is analyzed. Based on the failure impact of device a's failure mode, the device's fault classification is determined. Finally, the highest fault classification among all common failure modes of the target device is taken as the criticality level of the target device.

[0058] Step 10: Determine whether the criticality level of the target device is higher than the general level (Level C).

[0059] Specifically, it involves determining whether the target device is critical at level 1 (S), level 2 (A), or level 3 (B), i.e., whether the target device is critical or important.

[0060] Step 11: If the failure level is higher than the general level, then formulate a pre-maintenance project based on the failure causes corresponding to all common failure modes of the target equipment.

[0061] Specifically, for equipment with a criticality level of S / A / B, the corresponding failure causes in the preventive maintenance database are obtained based on the failure modes in the equipment classification, along with preventive maintenance projects (including preventive maintenance tasks and cycles) that can prevent these failure causes. Finally, the preventive maintenance projects are summarized to obtain the equipment's preventive maintenance items. This preventive maintenance database innovatively establishes a correlation between failure causes, preventive maintenance tasks, and functional-level failure modes, ensuring that the preventive maintenance database can be directly used for preventive maintenance project analysis, as shown in Table 2 below.

[0062] Table 2 Example from the Preventive Maintenance Database Step 12: Compare the proposed pre-maintenance projects with the existing pre-maintenance projects and propose pre-maintenance optimization suggestions.

[0063] Specifically, the pre-dimensionality projects obtained through analysis are compared with existing pre-dimensionality projects, and suggestions for pre-dimensionality optimization such as adding, adjusting, or deleting are proposed.

[0064] Step 13: If the level is not higher than the general level, then the analysis ends.

[0065] Specifically, when the criticality level of the equipment is S, A, or B, a pre-maintenance project needs to be developed; when the criticality level of the equipment is C, no pre-maintenance project needs to be developed.

[0066] According to the technical solution provided in this application, by classifying equipment, failure consequence analysis and conditional judgment methods are adopted respectively. Conditional judgment analysis ensures that equipment with a single function can improve analysis efficiency without affecting its accuracy. For complex active equipment such as pumps and motors, failure consequence analysis is used. This analysis details all common failure modes, the explicitness or implicitness of failure modes, affected system functions, plant-level impact, and fault classification. If the failure mode is an implicit fault, multiple failure analysis is required, with the criticality level being the highest in the fault classification (S > A > B > C). This achieves accurate and efficient identification of critical / potentially critical equipment. Combined with a preventive maintenance template (PMT) containing equipment failure modes and pre-maintenance strategies, a connection is established between critical equipment failure modes and pre-maintenance projects, achieving analysis and optimization of equipment pre-maintenance projects. This ensures the accuracy and standardization of pre-maintenance projects and reduces the operation and maintenance costs of nuclear power plants. This application embodiment can achieve accurate classification of nuclear power plant equipment and optimization of pre-maintenance projects, while effectively reducing personnel experience requirements, improving analysis efficiency, saving analysis costs, and better supporting the reliability management of nuclear power plant equipment.

[0067] In at least one embodiment of this application, after step 3, the nuclear power plant equipment pre-maintenance optimization method further includes steps 3-1 and 3-2.

[0068] Step 3-1: Determine whether the criticality level of the target equipment reaches Level 1 Critical (S-level) or Level 2 Critical (A-level).

[0069] Step 3-2: If the failure impact of the target equipment reaches the critical level 1 (S level) or critical level 2 (A level), then the analysis type of the target equipment will be changed from conditional judgment analysis to failure consequence analysis.

[0070] In at least one embodiment of this application, steps 11-1 to 11-3 are specific manifestations of step 11.

[0071] Step 11-1: Determine the operating frequency and operating environment of the target equipment. The operating frequency is categorized as high or low. The operating environment is categorized as favorable or unfavorable.

[0072] Step 11-2: Based on the criticality level, operating frequency, and operating environment of the target equipment, and according to the critical failure modes in the target equipment classification data, obtain the failure causes, pre-maintenance tasks, and pre-maintenance cycles corresponding to the critical failure modes from the preventive maintenance database.

[0073] It should be noted that analysts can modify the causes of failure, pre-maintenance items, pre-maintenance tasks, and pre-maintenance cycles.

[0074] Step 11-3: Based on the failure causes, pre-maintenance tasks, and pre-maintenance cycles corresponding to the critical failure modes, formulate pre-maintenance projects.

[0075] For example, pre-maintenance tasks are set with unique codes. After the pre-maintenance project analysis is completed, the pre-maintenance projects for the equipment are automatically summarized and generated based on the pre-maintenance project name and the pre-maintenance task code.

[0076] In the above embodiments, by setting the PMT data to be retrieved based on the criticality, operating frequency, and operating environment of the equipment during analysis, the efficiency of analysis and the standardization of pre-maintenance tasks are improved. Accurate identification of critical / potentially critical equipment and their failure modes, along with reasonable pre-maintenance measures, can significantly reduce unit operational transients and maintenance costs.

[0077] In at least one embodiment of this application, steps 12-1 to 12-4 are specific manifestations of step 12.

[0078] Step 12-1: Extract the existing pre-maintenance items corresponding to the target equipment from the power plant production system.

[0079] Step 12-2: Compare the proposed pre-maintenance projects with the existing pre-maintenance projects.

[0080] Step 12-3: If the pre-maintenance project is the same as the existing pre-maintenance project, then keep the existing pre-maintenance project unchanged.

[0081] Step 12-4: If the pre-maintenance project is different from the existing pre-maintenance project, then propose pre-maintenance optimization suggestions.

[0082] At least one embodiment of this application also provides a nuclear power plant equipment pre-maintenance optimization device, see reference. Figure 2 The nuclear power plant equipment preventive maintenance optimization device includes an equipment classification module, a preventive maintenance analysis module, a preventive maintenance project comparison module, and a database module. The equipment classification module determines whether the target equipment type requires conditional analysis or failure consequence analysis, and analyzes the criticality level of the target equipment. The preventive maintenance analysis module, connected to the equipment classification module, is used to develop preventive maintenance projects for target equipment above the general level. The preventive maintenance project comparison module, also connected to the preventive maintenance analysis module, compares the developed preventive maintenance projects with existing preventive maintenance projects and proposes preventive maintenance optimization suggestions. The preventive maintenance template database module, connected to the equipment classification and preventive maintenance analysis modules, provides standardized preventive maintenance template data associated with equipment failure modes, maintenance tasks, and functional-level failure modes.

[0083] It should be noted that "connection" can be wireless or wired. The device classification module can categorize devices into two analysis categories based on device type, used to analyze and determine the criticality level of the devices.

[0084] In at least one embodiment of this application, the nuclear power plant equipment pre-maintenance optimization device further includes a report and query module. The report and query module is connected to the equipment classification module, the pre-maintenance analysis module, and the pre-maintenance project comparison module, and is used to query and output reports. The reports include equipment classification data corresponding to the equipment classification module, pre-maintenance analysis process data corresponding to the pre-maintenance analysis module, and pre-maintenance optimization data corresponding to the pre-maintenance project comparison module.

[0085] In at least one embodiment of this application, the nuclear power plant equipment pre-maintenance optimization device further includes a data statistics and display module. The data statistics and display module is used to summarize and display equipment-related data. Equipment-related data includes equipment classification results, the number of pre-maintenance projects, pre-maintenance man-hours, the number of pre-maintenance optimizations, and the number of preventative maintenance templates maintained.

[0086] In at least one embodiment of this application, the nuclear power plant equipment pre-maintenance optimization device further includes an equipment information module. The equipment information module is used to display system and equipment-related data. This system and equipment-related data includes basic system and equipment information, system technical data, equipment technical data, and maintenance information.

[0087] It should be noted that the reference Figure 2The nuclear power plant equipment pre-maintenance optimization device also includes system support components, which may include components such as mind mapping components and databases. This application embodiment does not specifically limit these components.

[0088] At least one embodiment of this application also provides a computer device including a processor and a memory. The processor is used to execute a nuclear power plant equipment pre-maintenance optimization method provided in any of the above embodiments of this application. The memory is used to store executable instructions of the processor, such as application programs. The number of processors can be one or more. The application programs stored in the memory can include one or more modules, each corresponding to a set of instructions. Furthermore, the processor is configured to execute instructions to perform the above-described nuclear power plant equipment pre-maintenance optimization method.

[0089] The computer device may also include a power supply component configured for power management, a wired or wireless network interface configured to connect the computer device to a network, and an input / output (I / O) interface. The computer device can operate on an operating system stored in memory, such as Windows Server. TM Mac OSX TM Unix TM Linux TM FreeBSD TM Or similar.

[0090] At least one embodiment of this application also provides a computer-readable storage medium storing executable instructions for a computer. When executed by a processor, the executable instructions implement a nuclear power plant equipment pre-maintenance optimization method provided in any of the above embodiments of this application.

[0091] A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the computer device, enables the computer device to perform the nuclear power plant equipment pre-maintenance and optimization method. The nuclear power plant equipment pre-maintenance and optimization method is executed by a proxy program.

[0092] Those skilled in the art will recognize that the algorithmic steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0093] At least one embodiment of this application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements a nuclear power plant equipment pre-maintenance optimization method provided in any of the above embodiments of this application.

[0094] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a computer program product. This computer program product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the nuclear power plant equipment pre-maintenance optimization method of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program verification codes, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0095] It should be noted that the combination of the technical features in the embodiments of this application is not limited to the combination methods described in the embodiments of this application or the combination methods described in specific embodiments. All technical features described in this application can be freely combined or combined in any way, unless they contradict each other.

[0096] As indicated in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the term "comprising" only indicates that it includes the explicitly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0097] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications or equivalent substitutions made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for pre-maintenance optimization of nuclear power plant equipment, characterized in that, include: Step 1: Identify the target equipment in the nuclear power plant system to be analyzed; Step 2: Determine whether the target equipment type is conditional judgment analysis or failure consequence analysis; Step 3: If it is a conditional judgment analysis, the criticality level of the target device is directly determined according to the set judgment clauses. The criticality levels are divided into critical level 1, critical level 2, important level and general level from the highest level to the lowest level. Step 4: If it is a failure consequence analysis, then according to the equipment type of the target equipment, obtain all common patterns of the target equipment from the preventive maintenance template database; Step 5: Determine the explicitness or implicitness of all common failure modes of the target device; Step 6: If a failure mode is an explicit failure among all common failure modes, then perform a single failure analysis to obtain the failure analysis results. The single failure analysis is an analysis of the impact of a single failure on the system function and the unit. Step 7: If one of the failure modes among all common failure modes is a latent failure, then perform superimposed failure analysis to obtain the failure analysis results. Superimposed failure analysis is an analysis of the impact of multiple failures on system functions and the unit. Step 8: Based on the failure analysis results and the equipment criticality determination criteria, determine all criticality levels corresponding to all common failure modes; Step 9: Select the highest criticality level among all criticality levels corresponding to all common failure modes as the criticality level of the target device. Step 10: Determine whether the criticality level of the target device is higher than the general level; Step 11: If the failure level is higher than the general level, then formulate a pre-maintenance project based on the failure causes corresponding to all common failure modes of the target equipment. Step 12: Compare the proposed pre-maintenance projects with the existing pre-maintenance projects, and propose pre-maintenance optimization suggestions; Step 13: If the level is not higher than the general level, then the analysis ends.

2. The method for pre-maintenance optimization of nuclear power plant equipment according to claim 1, characterized in that, Following step 3, the following is also included: Step 3-1: Determine whether the criticality level of the target equipment reaches critical level 1 or critical level 2; Step 3-2: If the failure impact of the target equipment reaches critical level 1 or critical level 2, then the analysis type of the target equipment will be changed from conditional judgment analysis to failure consequence analysis.

3. A method for pre-maintenance optimization of nuclear power plant equipment according to claim 1 or 2, characterized in that, Step 11 includes: Step 11-1: Determine the operating frequency and operating environment of the target equipment. The operating frequency is classified as high or low, and the operating environment is classified as good or bad. Step 11-2: Based on the criticality level, operating frequency, and operating environment of the target equipment, and according to the critical failure modes in the target equipment classification data, obtain the failure causes, pre-maintenance tasks, and pre-maintenance cycles corresponding to the critical failure modes from the preventive maintenance database. Step 11-3: Based on the failure causes, pre-maintenance tasks, and pre-maintenance cycles corresponding to the critical failure modes, formulate pre-maintenance projects.

4. A pre-maintenance optimization device for nuclear power plant equipment, characterized in that, The aforementioned nuclear power plant equipment pre-maintenance optimization device is used to execute the nuclear power plant equipment pre-maintenance optimization method as described in any one of claims 1 to 3, wherein the nuclear power plant equipment pre-maintenance optimization device includes an equipment classification module, a pre-maintenance analysis module, a pre-maintenance project comparison module, and a database module. The system comprises several modules: an equipment classification module to determine whether the target equipment is subject to conditional judgment analysis or failure consequence analysis, and to analyze the criticality level of the target equipment; a pre-maintenance analysis module connected to the equipment classification module to develop pre-maintenance projects for target equipment above the general level; a pre-maintenance project comparison module connected to the pre-maintenance analysis module to compare the developed pre-maintenance projects with existing pre-maintenance projects and propose pre-maintenance optimization suggestions; and a preventive maintenance template database module connected to both the equipment classification module and the pre-maintenance analysis module to provide standardized preventive maintenance template data associated with equipment failure modes, maintenance tasks, and functional level failure modes.

5. The nuclear power plant equipment pre-maintenance optimization device according to claim 4, characterized in that, It also includes a report and query module, which is connected to the equipment classification module, the pre-maintenance analysis module, and the pre-maintenance project comparison module. This module is used to query and output reports, which include equipment classification data corresponding to the equipment classification module, pre-maintenance analysis process data corresponding to the pre-maintenance analysis module, and pre-maintenance optimization data corresponding to the pre-maintenance project comparison module.

6. The nuclear power plant equipment pre-maintenance optimization device according to claim 4, characterized in that, It also includes a data statistics and display module, which is used to summarize and display equipment-related data, including equipment classification results, number of pre-maintenance projects, pre-maintenance man-hours, number of pre-maintenance optimizations, and number of preventive maintenance templates maintained.

7. A nuclear power plant equipment pre-maintenance optimization device according to any one of claims 4 to 6, characterized in that, It also includes an equipment information module, which displays system and equipment related data, including basic system and equipment information, system technical data, equipment technical data, and maintenance information.

8. A computer device, characterized in that, include: A processor for executing a pre-maintenance optimization method for nuclear power plant equipment according to any one of claims 1 to 3; as well as Memory for storing the executable instructions of the processor.

9. A computer-readable storage medium having executable instructions stored thereon, characterized in that, When the executable instructions are executed by the processor, they implement the nuclear power plant equipment pre-maintenance optimization method according to any one of claims 1 to 3.

10. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the pre-maintenance optimization method for nuclear power plant equipment as described in any one of claims 1 to 3.

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