Nuclear power equipment operation health state monitoring method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a nuclear power equipment operation health state monitoring method and system, electronic equipment and a storage medium, and belongs to the technical field of nuclear power. The method comprises the following steps: acquiring equipment temperature data, equipment pressure data and equipment structure information corresponding to target monitoring equipment; wherein the equipment structure information is pre-configured with a corresponding stress influence evaluation strategy; performing load stress analysis on the target monitoring equipment based on the equipment temperature data and the equipment pressure data to obtain load stress monitoring parameters corresponding to multiple load types; for the target monitoring equipment, processing the load stress monitoring parameters of various load types according to a stress influence evaluation strategy to obtain health influence parameters; and performing health state evaluation according to the health influence parameters to obtain health state characterization information corresponding to the target monitoring equipment. According to the embodiment of the invention, health state monitoring can be carried out on a complex nuclear power equipment structure.

Description

Technical Field

[0001] The present application relates to the field of nuclear power technology, and in particular to a method, system, electronic device and storage medium for monitoring the operating health status of nuclear power equipment. Background Art

[0002] The primary pressure boundary of a nuclear power plant is the second safety barrier of a nuclear reactor, and the health of its equipment is an important guarantee of nuclear safety. The equipment health status monitoring and early warning technology of in-service units plays a very important role in unit operation, unit life extension, equipment replacement and equipment operation risk early warning.

[0003] However, due to the complex structure of nuclear power equipment, different monitoring methods need to be used to evaluate the health status based on the equipment structure. Therefore, in order to ensure the normal operation of key nuclear power equipment, how to perform corresponding health status monitoring for different equipment structures has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to propose a method, system, electronic device and storage medium for monitoring the operating health status of nuclear power equipment, aiming to perform health status monitoring on complex nuclear power equipment structures.

[0005] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application proposes a method for monitoring the operating health status of a nuclear power plant, the method comprising:

[0006] Acquire device temperature data, device pressure data and device structure information corresponding to the target monitoring device; wherein the device structure information is pre-configured with a corresponding stress impact assessment strategy;

[0007] Performing load stress analysis on the target monitoring device based on the device temperature data and the device pressure data to obtain load stress monitoring parameters corresponding to multiple load types;

[0008] For the target monitoring equipment, processing the load stress monitoring parameters of various load types according to the stress impact assessment strategy to obtain health impact parameters;

[0009] A health status assessment is performed according to the health impact parameter to obtain health status characterization information corresponding to the target monitoring device.

[0010] In some embodiments, the stress impact assessment strategy includes a fatigue damage assessment strategy, a fracture damage assessment strategy, and a sealing failure assessment strategy, the health impact parameter includes a fatigue impact parameter, a fracture impact parameter, and a sealing impact parameter, and for the target monitoring device, processing the load stress monitoring parameters of various load types according to the stress impact assessment strategy to obtain the health impact parameter includes:

[0011] When the device structure information reflects that the target monitoring device includes a first type of structure, the load stress monitoring parameters of various load types of the first type of structure are processed by the fatigue damage assessment strategy to obtain the fatigue influence parameters corresponding to the fatigue damage assessment strategy;

[0012] When the target monitoring device includes a second type of structure based on the device structure information, the load stress monitoring parameters of various load types of the second type of structure are processed by the fracture damage assessment strategy to obtain the fracture influence parameters corresponding to the fracture damage assessment strategy;

[0013] When the device structure information reflects that the target monitoring device includes a third type of structure, the load stress monitoring parameters of various load types of the third type of structure are processed through the sealing failure assessment strategy to obtain the sealing influencing parameters corresponding to the sealing failure assessment strategy.

[0014] In some embodiments, when the target monitoring device reflects that the device structure information includes a first type of structure, the load stress monitoring parameters of various load types of the first type of structure are processed by the fatigue damage assessment strategy to obtain the fatigue impact parameter corresponding to the fatigue damage assessment strategy, including:

[0015] performing stress superposition processing on the load stress monitoring parameters of various load types of the first type of structure to obtain stress superposition information;

[0016] Performing alternating stress analysis based on the stress superposition information to obtain corresponding alternating stress information;

[0017] Obtaining a stress-life curve corresponding to the target monitoring device;

[0018] Based on the alternating stress information and the stress-life curve, fatigue loss accumulation analysis is performed by a rain flow counting method to obtain fatigue damage information as the fatigue influencing parameter.

[0019] In some embodiments, performing alternating stress analysis based on the stress superposition information to obtain corresponding alternating stress information includes:

[0020] Performing amplitude analysis based on the stress superposition information to obtain stress amplitude information, wherein the stress amplitude information includes primary plus secondary stress amplitudes;

[0021] Determining basic allowable stress strength information of the material of the target monitoring equipment based on the equipment temperature data;

[0022] Performing an elastic-plastic analysis based on the primary and secondary stress amplitudes and the basic allowable stress intensity information of the material to obtain an elastic-plastic strain correction coefficient of the target monitoring device;

[0023] An alternating stress analysis is performed based on the stress amplitude information and the elastic-plastic strain correction coefficient to obtain the corresponding alternating stress information.

[0024] In some embodiments, the performing fatigue loss accumulation analysis based on the alternating stress information and the stress-life curve to obtain fatigue damage information as the fatigue influencing parameter includes:

[0025] Obtaining an environmental impact factor corresponding to the target monitoring device;

[0026] Fatigue loss accumulation analysis is performed through the alternating stress information, the stress-life curve and the environmental impact factor to obtain fatigue damage correction information as the fatigue impact parameter.

[0027] In some embodiments, when the target monitoring device reflects that the device structure information includes a second type of structure, the load stress monitoring parameters of various load types of the second type of structure are processed by the fracture damage assessment strategy to obtain the fracture influence parameters corresponding to the fracture damage assessment strategy, including:

[0028] Acquire a data collection location of the device temperature data and the device pressure data corresponding to the second type of structure;

[0029] Performing historical damage analysis on the data collection location to obtain damage tolerance information;

[0030] Performing material property analysis on the data collection location to obtain material data information;

[0031] Performing stress tolerance analysis on the initial crack corresponding to the load stress monitoring parameters of various load types at the data acquisition position and the damage tolerance information to obtain a stress intensity factor corresponding to the initial crack;

[0032] A crack extension calculation is performed based on the stress intensity factor, the damage tolerance information and the material data information to obtain a crack extension amount as a fracture influencing parameter.

[0033] In some embodiments, the sealing failure assessment strategy includes at least one of bolt clamping force assessment, flange separation assessment, and flange rotation angle assessment. When the target monitoring device based on the device structure information reflects that the target monitoring device includes a third type of structure, the load stress monitoring parameters of various load types of the third type of structure are processed by the sealing failure assessment strategy to obtain the sealing influence parameters corresponding to the sealing failure assessment strategy, including:

[0034] Based on the load stress monitoring parameters of various load types of the third type of structure, the bolt tightening force evaluation is performed on the target monitoring device to obtain the bolt tightening force evaluation information;

[0035] Based on the load stress monitoring parameters of various load types of the third type of structure, the flange separation amount of the target monitoring device is evaluated to obtain the flange separation amount evaluation information;

[0036] Performing flange angle evaluation on the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain flange angle evaluation information;

[0037] The sealing influencing parameter is obtained according to at least one of the bolt pressing force evaluation information, the flange separation amount evaluation information and the flange rotation angle evaluation information.

[0038] In some embodiments, the bolt tightening force evaluation of the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain the bolt tightening force evaluation information includes:

[0039] Acquire structural specification data of the third type of structure, wherein the structural specification data includes bolt cross-sectional dimension information and an average diameter of a sealing ring;

[0040] Based on the load stress monitoring parameters, internal pressure load data and average stress of the bolt section are obtained;

[0041] The reaction force is calculated according to the internal pressure load data and the average diameter of the sealing ring to obtain the internal pressure load reaction force of the equipment of the third type structure;

[0042] Based on the sealing form of the third type of structure, a minimum pressing force of the sealing ring corresponding to the third type of structure is obtained;

[0043] Calculate the bolt tensile force based on the average stress of the bolt section and the bolt section size information to obtain the bolt tensile load;

[0044] The bolt compression force is evaluated based on the reaction force of the internal pressure load of the equipment, the minimum compression force of the sealing ring and the tensile load of the bolt to obtain bolt compression force evaluation information.

[0045] In some embodiments, the performing flange separation evaluation on the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain the flange separation evaluation information includes:

[0046] Performing separation analysis on the third type of structure based on the load stress monitoring parameters of the various load types to obtain an axial separation between flanges;

[0047] The flange separation amount is evaluated based on the axial separation amount between the flanges and the preset allowable springback amount of the sealing ring to obtain the flange separation amount evaluation information.

[0048] In some embodiments, the performing flange angle evaluation on the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain the flange angle evaluation information includes:

[0049] Performing flange rotation angle analysis on the third type of structure based on the load stress monitoring parameters of the various load types to obtain an inter-flange rotation angle;

[0050] Based on the rotation angle between the flanges, the maximum displacement of the flange along the mid-surface of the bolt is obtained;

[0051] The flange rotation angle evaluation information is obtained by performing a displacement evaluation based on the maximum displacement of the flange along the mid-surface of the bolt and a preset flange displacement allowable value.

[0052] In some embodiments, acquiring device temperature data, device pressure data, and device structure information corresponding to the target monitoring device includes:

[0053] Based on the importance and damage tolerance of the equipment, determine the target monitoring equipment from the nuclear power equipment, and obtain equipment structure information corresponding to the target monitoring equipment;

[0054] Perform damage tolerance comparison for a plurality of pre-determined important vulnerable positions to determine the data collection position corresponding to the target monitoring device;

[0055] Based on the data collection position, the device temperature data and the device pressure data are acquired.

[0056] In some embodiments, the method further includes acquiring equipment mechanical load data corresponding to the target monitoring equipment, wherein the multiple load types include thermal stress, pressure stress and mechanical load stress, and the load stress monitoring parameters include thermal stress monitoring parameters, pressure stress monitoring parameters and mechanical load stress monitoring parameters, and performing load stress analysis on the target monitoring equipment based on the equipment temperature data and the equipment pressure data to obtain load stress monitoring parameters corresponding to the multiple load types, including:

[0057] Perform thermal stress analysis based on the equipment temperature data to obtain the thermal stress monitoring parameter;

[0058] Performing pressure stress analysis based on the equipment pressure data to obtain the pressure stress monitoring parameter;

[0059] A mechanical load stress analysis is performed based on the equipment mechanical load data to obtain the mechanical load stress monitoring parameter.

[0060] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present application proposes a nuclear power equipment operation health status monitoring system, the system comprising:

[0061] A data acquisition module, used to obtain device temperature data, device pressure data and device structure information corresponding to the target monitoring device; wherein the device structure information is pre-configured with a corresponding stress impact assessment strategy;

[0062] A load stress analysis module, used to perform load stress analysis on the target monitoring device based on the device temperature data and the device pressure data, to obtain load stress monitoring parameters corresponding to multiple load types;

[0063] A stress impact assessment module, for processing the load stress monitoring parameters of various load types according to the stress impact assessment strategy for the target monitoring device, so as to obtain health impact parameters;

[0064] The health status assessment module is used to perform health status assessment according to the health impact parameters to obtain health status representation information corresponding to the target monitoring device.

[0065] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, it implements the nuclear power equipment operation health status monitoring method described in the first aspect above.

[0066] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present application proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the nuclear power equipment operation health status monitoring method described in the first aspect above.

[0067] The method, system, electronic device and storage medium for monitoring the operating health status of nuclear power equipment proposed in the present application obtain the equipment temperature data, equipment pressure data and equipment structure information corresponding to the target monitoring equipment, and then perform load stress analysis on the target monitoring equipment based on the equipment temperature data and equipment pressure data to obtain load stress monitoring parameters corresponding to multiple load types. For the target monitoring equipment, the load stress monitoring parameters of various load types are processed according to the stress impact assessment strategy to obtain health impact parameters, and then the health status assessment is performed according to the health impact parameters to obtain the health status characterization information corresponding to the target monitoring equipment. Therefore, the present application configures the corresponding stress impact assessment strategy according to the equipment structure information, processes the load stress monitoring parameters of various load types, so that the corresponding health status assessment can be performed for different equipment structures, and the health status characterization information of the nuclear power equipment is obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 is a flow chart of a method for monitoring the operating health status of nuclear power equipment provided in an embodiment of the present application;

[0069] Figure 2 yes Figure 1 Flow chart of step S101 in FIG.

[0070] Figure 3 yes Figure 1 Flow chart of step S102 in FIG.

[0071] Figure 4 yes Figure 1 Flow chart of step S103 in FIG.

[0072] Figure 5 yes Figure 4 Flow chart of step S401 in FIG.

[0073] Figure 6 yes Figure 5 Flow chart of step S502 in FIG.

[0074] Figure 7 yes Figure 5 Flow chart of step S505 in FIG.

[0075] Figure 8 yes Figure 4 Flow chart of step S402 in FIG.

[0076] Fig. 9 yes Figure 4 Flow chart of step S403 in FIG.

[0077] Fig.10 yes Fig. 9 Flow chart of step S901 in FIG.

[0078] Fig.11 yes Fig. 9 Flowchart of step S902 in FIG.

[0079] Fig.12 yes Fig. 9 Flow chart of step S903 in FIG.

[0080] Fig.13 It is a structural diagram of a nuclear power equipment operation health status monitoring system provided in an embodiment of the present application;

[0081] Fig.14 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0083] It should be noted that, although the functional modules are divided in the system schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the system or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0084] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0085] The embodiments of the present application provide a method, system, electronic device and storage medium for monitoring the operating health status of nuclear power equipment, aiming to perform health status monitoring on complex nuclear power equipment structures.

[0086] The nuclear power equipment operation health status monitoring method, system, electronic device and storage medium provided in the embodiments of the present application are specifically explained through the following embodiments. First, the nuclear power equipment operation health status monitoring method in the embodiments of the present application is described.

[0087] The method for monitoring the operating health status of nuclear power equipment provided in the embodiment of the present application relates to the field of nuclear power technology. The method for monitoring the operating health status of nuclear power equipment provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server side, and can also be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the method for monitoring the operating health status of nuclear power equipment, etc., but is not limited to the above forms.

[0088] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0089] Figure 1 is an optional flow chart of the method for monitoring the operating health status of nuclear power equipment provided in an embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S104.

[0090] Step S101, obtaining device temperature data, device pressure data and device structure information corresponding to the target monitoring device; wherein the device structure information is pre-configured with a corresponding stress impact assessment strategy;

[0091] Step S102, performing load stress analysis on the target monitoring device based on the device temperature data and the device pressure data to obtain load stress monitoring parameters corresponding to multiple load types;

[0092] Step S103, for the target monitoring equipment, processing the load stress monitoring parameters of various load types according to the stress impact assessment strategy to obtain health impact parameters;

[0093] Step S104: perform health status assessment according to the health impact parameters to obtain health status representation information corresponding to the target monitoring device.

[0094] Steps S101 to S104 shown in the embodiment of the present application are obtained by obtaining the equipment temperature data, equipment pressure data and equipment structure information corresponding to the target monitoring equipment, and then performing load stress analysis on the target monitoring equipment based on the equipment temperature data and equipment pressure data to obtain load stress monitoring parameters corresponding to multiple load types. For the target monitoring equipment, the load stress monitoring parameters of various load types are processed according to the stress impact assessment strategy to obtain health impact parameters, and then a health status assessment is performed based on the health impact parameters to obtain health status characterization information corresponding to the target monitoring equipment. Therefore, the present application configures the corresponding stress impact assessment strategy according to the equipment structure information, processes the load stress monitoring parameters of various load types, so that corresponding health status assessments can be performed for different equipment structures to obtain health status characterization information of nuclear power equipment.

[0095] In step S101 of some embodiments, the device temperature data, device pressure data and device structure information of the target monitoring device are obtained, and the target monitoring device refers to the nuclear power equipment for health status monitoring. The device temperature data and the device pressure data refer to the temperature information and pressure information obtained at the monitoring position on the target monitoring device, respectively. The device structure information describes the structure type of the target monitoring device, such as flanges, pipes, etc. For different device structure information, corresponding stress impact assessment strategies are configured, so as to perform different assessment methods to better adapt the target monitoring device for health status assessment.

[0096] See also Figure 2 In some embodiments, step S101 may include but is not limited to steps S201 to S203:

[0097] Step S201, based on the importance and damage tolerance of the equipment, determine the target monitoring equipment from the nuclear power equipment, and obtain the equipment structure information of the corresponding target monitoring equipment;

[0098] Step S202, performing damage tolerance comparison for a plurality of pre-determined vulnerable and important positions to determine a data collection position corresponding to a target monitoring device;

[0099] Step S203, acquiring device temperature data and device pressure data based on the data collection position.

[0100] In step S201 of some embodiments, based on the importance of the equipment and the damage it has suffered, target monitoring equipment that requires detailed monitoring is screened out from the nuclear power equipment, and the equipment structure information of the target monitoring equipment is further obtained so that an adaptive health status assessment of the target monitoring equipment can be performed subsequently based on the equipment structure information.

[0101] In step S202 of some embodiments, for the target monitoring equipment, important positions that may be vulnerable, or positions where equipment damage frequently occurs, can usually be predicted during the design phase, that is, a plurality of pre-determined important vulnerable positions. These important vulnerable positions are compared with the degree of damage they have sustained, thereby determining the data collection positions that need to be monitored first, thereby providing more accurate guidance for data collection work.

[0102] In step S203 of some embodiments, data collection is started according to the determined data collection position to obtain temperature data and pressure data of the target monitoring device, that is, device temperature data and device pressure data.

[0103] Through step S201 to step S203, from determining the target monitoring device to determining the data collection location, and then to actual data collection, the device temperature data and device pressure data are obtained. Each step provides the necessary information and data for the final health status assessment, improves the pertinence and systematicness of the monitoring work, and ensures the effectiveness and accuracy of the monitoring work.

[0104] In step S102 of some embodiments, load stress analysis is performed on the target monitoring device according to the device temperature data and the device pressure data to obtain load stress monitoring parameters of different load types. The load type is used to describe the type of load stress, including thermal stress, pressure stress and mechanical stress. Correspondingly, the load stress monitoring parameters include thermal stress monitoring parameters, pressure stress monitoring parameters and mechanical load stress monitoring parameters.

[0105] See also Figure 3 In some embodiments, it further includes obtaining equipment mechanical load data corresponding to the target monitoring equipment. Step S102 may include but is not limited to steps S301 to S303:

[0106] Step S301, performing thermal stress analysis based on equipment temperature data to obtain thermal stress monitoring parameters;

[0107] Step S302, performing pressure stress analysis based on equipment pressure data to obtain pressure stress monitoring parameters;

[0108] Step S303: performing mechanical load stress analysis based on the equipment mechanical load data to obtain mechanical load stress monitoring parameters.

[0109] In step S301 of some embodiments, thermal stress analysis is performed based on the collected equipment temperature data to obtain the thermal stress borne by the target monitoring equipment, that is, the thermal stress monitoring parameter. Thermal stress is the stress generated by the inconsistent thermal expansion inside the material or between different materials due to temperature changes. For nuclear power plant equipment, thermal stress is often an important factor leading to fatigue damage and fracture.

[0110] In step S302 of some embodiments, pressure stress analysis is performed based on the equipment pressure data to obtain the pressure stress borne by the target monitoring equipment, that is, the pressure stress monitoring parameter. Pressure stress is the stress generated by the external pressure acting on the material or structure. For pressure-bearing equipment, this stress is the direct cause of plastic deformation and rupture, and is crucial for evaluating the pressure bearing capacity and integrity of the equipment.

[0111] In step S303 of some embodiments, mechanical load stress analysis is performed based on the equipment mechanical load data to obtain the mechanical stress borne by the target monitoring equipment. The equipment mechanical load data can be obtained through sensors set in the target monitoring equipment, and the equipment mechanical load data can also be obtained through the design specifications of the target monitoring equipment or through experimental tests. Mechanical stress is the stress caused by mechanical forces (such as stretching, compression, bending, vibration, impact, gravity, earthquake, fluid load, etc.) acting on materials or structures.

[0112] In nuclear power plants, mechanical loads may come from the operation and maintenance process of the equipment or the influence of the external environment, which is very important for evaluating the mechanical damage and stability of the equipment.

[0113] The thermal stress monitoring parameters, pressure stress monitoring parameters and mechanical load stress monitoring parameters can be obtained through Green's function calculation, finite element analysis (FEA) or other methods.

[0114] Through steps S301 to S303, by analyzing thermal stress, pressure stress and mechanical load stress respectively, the load stress monitoring parameters of the target monitoring equipment under different load stresses are obtained, which provides necessary data support for the subsequent use of stress impact assessment strategies for different equipment structures and health status assessment.

[0115] In step S103 of some embodiments, according to the characteristics of the target monitoring device, a corresponding stress impact assessment strategy is selected to analyze and process the load stress monitoring parameters of various load types. The stress impact assessment strategy is pre-configured according to the device structure information of the target monitoring device, so an adapted stress impact assessment strategy will be used according to the structural characteristics of the target monitoring device. The stress impact assessment strategy refers to a method for processing the collected load stress monitoring parameters of various load types to evaluate the health status of the target monitoring device. Then the health impact parameters are obtained, which are parameters that characterize the health status of the target monitoring device. They may include but are not limited to the fatigue damage accumulation of the equipment, the potential degree of crack propagation, the sealing status of the equipment, etc. These parameters can quantify the degree of damage or working status of the target monitoring device, characterize the health status of the target monitoring device, and predict its future health trend.

[0116] See also Figure 4 In some embodiments, the stress impact assessment strategy includes a fatigue damage assessment strategy, a fracture damage assessment strategy and a sealing failure assessment strategy, and correspondingly, the health impact parameter includes a fatigue impact parameter, a fracture impact parameter and a sealing impact parameter. Step S103 may include but is not limited to steps S401 to S403:

[0117] Step S401, when the target monitoring device includes a first type of structure based on the device structure information, the load stress monitoring parameters of various load types of the first type of structure are processed by a fatigue damage assessment strategy to obtain fatigue influence parameters corresponding to the fatigue damage assessment strategy;

[0118] Step S402, when the target monitoring device includes a second type of structure based on the device structure information, the load stress monitoring parameters of various load types of the second type of structure are processed by the fracture damage assessment strategy to obtain fracture influence parameters corresponding to the fracture damage assessment strategy;

[0119] Step S403, when the device structure information reflects that the target monitoring device includes a third type of structure, the load stress monitoring parameters of various load types of the third type of structure are processed by the sealing failure assessment strategy to obtain the sealing influence parameters corresponding to the sealing failure assessment strategy.

[0120] In step S401 of some embodiments, when the equipment structure information reflects that the target monitoring equipment includes a first type of structure, a fatigue damage assessment strategy is selected to process the load stress monitoring parameters of various load types of the first type of structure to obtain fatigue impact parameters. The fatigue impact parameter is one of the health impact parameters used to evaluate the health status of the target monitoring equipment, and is used to evaluate the health status of the target monitoring equipment in terms of fatigue damage. The first type of structure refers to equipment parts where the structure and material are discontinuous, such as pressure vessel heads, cylinder connections, pipelines, valve interfaces, pump casings, impeller connections, containment doors and sealing strips, etc. For these parts of the target monitoring equipment, fatigue damage needs to be focused on.

[0121] In step S402 of some embodiments, when the equipment structure information reflects that the target monitoring equipment includes a second type of structure, a fracture damage assessment strategy is selected to process the load stress monitoring parameters of various load types of the second type of structure to obtain fracture influence parameters. The second type of structure refers to equipment parts that are subjected to high stress, high temperature and high pressure or radiation exposure, such as reactor pressure vessel core barrel section, steam generator tube sheet connection weld, coolant pipeline, etc.

[0122] In step S403 of some embodiments, when the equipment structure information reflects that the target monitoring equipment includes a third type of structure, a seal failure assessment strategy is selected to process the load stress monitoring parameters of various load types of the third type of structure to obtain the seal influencing parameters. The third type of structure refers to equipment parts of bolt and flange type, for example, reactor pressure vessel top cover flange, steam generator primary and secondary side manhole flange, main pump casing flange, pressurizer manhole flange, etc.

[0123] Through steps S401 to S403, for different equipment structures, adaptive stress impact assessment strategies are selected to process load stress monitoring parameters of various load types, ensuring the pertinence and effectiveness of the assessment results, so as to more accurately assess the health status of the target monitoring equipment.

[0124] See also Figure 5 In some embodiments, step S401 may include but is not limited to steps S501 to S504:

[0125] Step S501, performing stress superposition processing on load stress monitoring parameters of various load types of the first type of structure to obtain stress superposition information;

[0126] Step S502, performing alternating stress analysis based on the stress superposition information to obtain corresponding alternating stress information;

[0127] Step S503, obtaining a stress-life curve of the corresponding target monitoring device;

[0128] Step S504, performing fatigue loss accumulation analysis by rain flow counting method based on alternating stress information and stress life curve, and obtaining fatigue damage information as fatigue influence parameter.

[0129] In step S501 of some embodiments, the stresses represented by the load stress monitoring parameters of various load types are superimposed to obtain stress superposition information in various directions. When evaluating fatigue damage, it is necessary to consider the stress generated by all loads borne by the component and determine the total stress change amplitude. In some cases, it is necessary to consider the stress superposition effect generated by other loads such as seismic loads. The stress superposition information includes the action information of stress at different levels such as thermal stress, pressure stress and mechanical stress.

[0130] In step S502 of some embodiments, alternating stress analysis is performed based on the stress superposition information to obtain corresponding alternating stress information. The purpose of alternating stress analysis is to identify and quantify the stress changes that the equipment is subjected to under cyclic loads. Alternating stress refers to stress that changes periodically in time and space, and is an important cause of material fatigue damage.

[0131] In step S503 of some embodiments, a stress-life curve of the corresponding target monitoring device is obtained. The stress-life curve describes the number of cycles that a material can withstand under different stress levels and is an important tool for evaluating fatigue damage.

[0132] In step S504 of some embodiments, fatigue loss accumulation analysis is performed based on the alternating stress information and the stress-life curve. The data in the alternating stress information can be extracted into stress cycles with practical engineering significance through the rain flow counting method, and the expected fatigue consumption of the target monitoring equipment under the stress amplitude represented by the alternating stress information can be calculated based on the actual number of cycles of the target monitoring equipment.

[0133] According to the stress-life curve, the allowable number of cycles under the stress amplitude represented by the alternating stress information is determined, that is, the maximum number of cycles that the material of the target monitoring equipment can withstand without fatigue failure. Fatigue accumulation analysis is performed through the actual number of cycles and the allowable number of cycles to obtain fatigue life information as a fatigue influencing parameter. The fatigue damage accumulation of the equipment can be calculated through linear cumulative damage theories such as Miner's law, thereby predicting the fatigue life information of the target monitoring equipment. This fatigue life information is an important parameter for evaluating the health status of the target monitoring equipment, and is directly related to the reliability and safety of the target monitoring equipment.

[0134] Through steps S501 to S504, the load stress monitoring parameters of various load types are organized into a series of equivalent load cycle histories through the rain flow counting method, and the alternating stress information is analyzed to obtain the alternating stress information. Then, the fatigue accumulation analysis is performed using the alternating stress information and the stress-life curve of the target monitoring equipment to obtain the fatigue life information of the target monitoring equipment as a fatigue influencing parameter to evaluate the health status information of the target monitoring equipment in the fatigue damage dimension.

[0135] See also Figure 6 In some embodiments, step S502 may include but is not limited to steps S601 to S604:

[0136] Step S601, performing amplitude analysis based on stress superposition information to obtain stress amplitude information, wherein the stress amplitude information includes primary plus secondary stress amplitudes;

[0137] Step S602, determining basic allowable stress strength information of the material of the target monitoring equipment based on the equipment temperature data;

[0138] Step S603, performing elastic-plastic analysis based on the primary and secondary stress amplitudes and the basic allowable stress intensity information of the material to obtain the elastic-plastic strain correction coefficient of the target monitoring equipment;

[0139] Step S604: performing alternating stress analysis based on the stress amplitude information and the elastic-plastic strain correction coefficient to obtain corresponding alternating stress information.

[0140] In step S601 of some embodiments, amplitude analysis is performed based on stress superposition information, with the purpose of extracting stress amplitude information, including primary plus secondary stress amplitudes. Primary stress is usually directly caused by external loads, while secondary stress may be caused by factors such as thermal expansion and pressure changes. Through amplitude analysis, the peak and valley values ​​of each stress cycle can be obtained, and then the stress amplitude can be calculated, which is the basis for evaluating equipment fatigue damage. The total stress amplitude of primary stress and secondary stress refers to the total stress amplitude of primary stress and secondary stress.

[0141] In step S602 of some embodiments, the basic allowable stress intensity information of the material of the target monitoring device is determined based on the temperature data of the target monitoring device. The basic allowable stress intensity of the material refers to the maximum stress that the material can withstand without causing plastic deformation. This parameter is crucial for evaluating whether the stress state of the equipment exceeds the bearing capacity of the material, and can also be used to evaluate the elastic-plastic capacity of the target monitoring device. The basic allowable stress intensity information of the material is determined based on the temperature data of the device because the basic allowable stress intensity information of the material will change with temperature.

[0142] In step S603 of some embodiments, an elastic-plastic analysis is performed based on the primary and secondary stress amplitudes and the basic allowable stress intensity information of the material to obtain an elastic-plastic strain correction coefficient of the target monitoring device. The elastic-plastic strain correction coefficient takes into account the elastic-plastic deformation that may occur in the material of the target monitoring device under a series of load cycles, which is of great significance for evaluating the fatigue life and damage of the device.

[0143] In step S604 of some embodiments, an alternating stress analysis is performed based on the stress amplitude information and the elastic-plastic strain correction coefficient to obtain corresponding alternating stress information. After considering the elastic-plastic capacity of the target monitoring device, the alternating stress borne by the target monitoring device can be better analyzed to obtain the corresponding alternating stress information.

[0144] In some embodiments, alternating stress analysis is performed based on stress amplitude information and elastic-plastic strain correction coefficients, and reference may be made to formula (1):

[0145]

[0146] Among them, G(i,j) represents the alternating stress information, i and j are two time points of stress amplitude information, K represents the elastic-plastic strain correction coefficient, S(i,j) represents the stress amplitude information, which is the amplitude of the total stress on the target monitoring equipment, and E c It is expressed as a predetermined normative elastic modulus, which is usually given in engineering specifications or material standards. E represents the elastic modulus of the material at the temperature corresponding to time points i and j, which can be further analyzed based on the equipment temperature data.

[0147] By introducing the considerations of the elastic-plastic strain correction coefficient and elastic modulus related to the target monitoring equipment, more accurate alternating stress information can be obtained, thereby more accurately evaluating the fatigue life information of the target monitoring equipment.

[0148] See also Figure 7 In some embodiments, step S505 may include but is not limited to steps S701 to S702:

[0149] Step S701, obtaining the environmental impact factor of the corresponding target monitoring device;

[0150] Step S702 , performing fatigue loss accumulation analysis through alternating stress information, stress-life curve and environmental impact factor, and obtaining fatigue damage correction information as fatigue impact parameter.

[0151] In step S701 of some embodiments, the environmental impact factor of the corresponding target monitoring device is obtained. The environmental impact factor refers to those external conditions that may affect the fatigue performance of the material. In the nuclear power primary circuit equipment, some equipment is in a water environment, while some equipment is exposed to the air environment, and there are some other types of environments. These environmental impact factors will affect the fatigue damage of the target monitoring equipment.

[0152] In step S702 of some embodiments, fatigue loss accumulation analysis is performed through alternating stress information, stress life curve and environmental influence factors, so as to obtain more accurate and effective fatigue life correction information as fatigue influence parameters. In some embodiments, fatigue damage correction information can be obtained by correcting by environmental influence factors during the process of fatigue loss accumulation analysis, and the correction coefficient can be determined by information such as strain rate, coolant oxygen content, material properties, etc. In other embodiments, the stress life curve can be corrected by environmental influence factors to obtain an environmental stress life curve corresponding to the environment, and then fatigue loss accumulation analysis is performed with the alternating stress information to obtain fatigue damage correction information.

[0153] In addition, when conducting fatigue damage assessment, it is necessary not only to consider environmental influencing factors, but also the impact of the structure of the target monitoring equipment itself. For example, for fatigue analysis of the main bolt thread, it is also necessary to consider the fatigue strength reduction effect caused by the notch in the thread structure and introduce a fatigue strength reduction coefficient to correct the obtained stress amplitude information.

[0154] Through step S701 to step S702, fatigue accumulation analysis is performed by comprehensively considering the number of fatigue transient occurrences, the number of allowable cycles, and environmental influencing factors, and finally fatigue life correction information as fatigue influencing parameters is obtained. This step not only improves the accuracy of fatigue life assessment, but also makes the assessment results more practical, which helps to formulate more effective equipment maintenance strategies and extend the service life of equipment.

[0155] See also Figure 8 In some embodiments, step S402 may include but is not limited to steps S801 to S805:

[0156] Step S801, obtaining a data collection location of device temperature data and device pressure data corresponding to a second type of structure;

[0157] Step S802, performing historical damage analysis on the data collection location to obtain damage tolerance information;

[0158] Step S803, performing material property analysis on the data collection location to obtain material data information;

[0159] Step S804, performing stress tolerance analysis on the initial crack corresponding to the load stress monitoring parameters of various load types at the data acquisition position and the damage tolerance information to obtain a stress intensity factor corresponding to the initial crack;

[0160] Step S805, performing crack extension calculation based on the stress intensity factor, damage tolerance information and material data information, and obtaining the crack extension amount as a fracture influencing parameter.

[0161] In step S801 of some embodiments, data collection locations are determined, i.e., specific points where device temperature data and device pressure data are obtained from the second type of structure. The selection of these data collection locations is usually based on vulnerable areas of the equipment, which may be places where problems have occurred in the past, or areas where stress concentration is prone to occur on the structure. Accurately collecting data at these locations is crucial for subsequent damage assessment.

[0162] In step S802 of some embodiments, historical damage analysis is performed on these data acquisition locations to obtain damage tolerance information. The damage tolerance information is used to record various damages suffered by the second type structure at the data acquisition location, including existing initial cracks, and damage information corresponding to the initial cracks including an assessment of the size, shape and depth of the existing initial cracks. Other types of damage may also cause further crack extension to the existing initial cracks. The damage tolerance information helps to understand the current damage state of the equipment and provides basic data for crack extension calculations.

[0163] In step S803 of some embodiments, material property analysis is performed to obtain material data information. This includes understanding the mechanical properties of the material, such as yield strength, tensile strength, fracture toughness, etc. These performance parameters have a direct impact on crack propagation behavior. Material data information is usually derived from design specifications or data tables provided by material manufacturers, or obtained through experimental testing.

[0164] In step S804 of some embodiments, stress bearing analysis is performed on the existing initial crack corresponding to the damage bearing information according to the load stress monitoring parameters of various load types at the data acquisition position to obtain the stress intensity factor of the corresponding initial crack. The stress intensity factor is an intensity parameter that describes the load stress monitoring parameters of various load types borne by the initial crack and is a key indicator for predicting crack extension.

[0165] In step S805 of some embodiments, crack extension calculation is performed based on stress intensity factor, damage bearing information and material data information. The fracture mechanics method is used to predict the speed and path of the initial crack extension under the action of load stress monitoring parameters of various load types according to the stress intensity factor corresponding to the initial crack, the material data information and the various damages suffered by the second type structure at the data acquisition position. The crack extension amount finally obtained is used as a fracture influence parameter to evaluate the remaining life and safety of the target monitoring equipment.

[0166] Through steps S801 to S805, a fracture damage assessment is performed on the second type of structure to obtain assessment information in the fracture damage dimension, so that the health status of nuclear power equipment with different equipment structures can be monitored and assessed in more dimensions, providing important decision support for equipment maintenance, replacement and safe operation.

[0167] See also Fig. 9 In some embodiments, the sealing failure assessment strategy includes at least one of a bolt clamping force assessment, a flange separation assessment, and a flange rotation angle assessment, and step S403 may include but is not limited to steps S901 to S904.

[0168] Step S901, evaluating the bolt tightening force of the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain bolt tightening force evaluation information;

[0169] Step S902, evaluating the flange separation amount of the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain flange separation amount evaluation information;

[0170] Step S903, performing flange angle evaluation on the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain flange angle evaluation information;

[0171] Step S904, obtaining a sealing influencing parameter according to at least one of the bolt pressing force evaluation information, the flange separation amount evaluation information and the flange rotation angle evaluation information;

[0172] In step S901 of some embodiments, the bolt clamping force of the target monitoring device is evaluated by the load stress monitoring parameters of various load types of the third type structure to obtain bolt clamping force evaluation information. Bolt clamping force is one of the key factors to ensure flange sealing and directly affects the contact pressure between the sealing surfaces. By analyzing the influence of load stress of different load types on the bolt preload, bolt clamping force evaluation information can be obtained, which helps to determine whether the bolt can provide sufficient clamping force to maintain sealing under the current working conditions.

[0173] See also Fig.10 In some embodiments, step S901 may include but is not limited to steps S1001 to S1006:

[0174] Step S1001, obtaining structural specification data of a third type of structure, wherein the structural specification data includes bolt cross-sectional dimension information and an average diameter of a sealing ring;

[0175] Step S1002, obtaining internal pressure load data and average stress of the bolt cross section based on load stress monitoring parameters;

[0176] Step S1003, performing reaction force calculation according to the internal pressure load data and the average diameter of the sealing ring to obtain the internal pressure load reaction force of the equipment of the third type of structure;

[0177] Step S1004, obtaining a minimum pressing force of a sealing ring corresponding to the third type of structure based on the sealing form of the third type of structure;

[0178] Step S1005, calculating the bolt tensile force based on the average stress of the bolt section and the bolt section size information to obtain the bolt tensile load;

[0179] Step S1006, evaluating the bolt compression force based on the equipment internal pressure load reaction force, the minimum compression force of the sealing ring and the bolt tensile load to obtain bolt compression force evaluation information.

[0180] In step S1001 of some embodiments, it is necessary to obtain structural specification data of the third type of structure, including bolt cross-sectional dimension information and average diameter of the sealing ring. These structural specification data are the basis for evaluating the bolt clamping force and can usually be obtained from the design drawings or technical manuals of the target monitoring equipment.

[0181] In step S1002 of some embodiments, internal pressure load data and average stress of the bolt cross section are obtained based on load stress monitoring parameters.

[0182] In step S1003 of some embodiments, a reaction force is calculated based on the internal pressure load data and the average diameter of the sealing ring to obtain the internal pressure load reaction force of the third type of structure. The internal pressure load reaction force of the equipment is the reaction force generated by the equipment under the action of the internal pressure, which has a direct impact on the preload force of the bolt.

[0183] In some embodiments, the reaction force meter can be calculated based on the internal pressure load data and the average diameter of the sealing ring according to formula (2):

[0184]

[0185] Among them, F p It represents the reaction force of the internal pressure load of the equipment, D represents the average diameter of the sealing ring, and P represents the internal pressure load data.

[0186] In step S1004 of some embodiments, the minimum pressing force of the sealing ring corresponding to the third type of structure is obtained based on the sealing form of the third type of structure. Different sealing forms may require different pressing forces to ensure the sealing effect, and satisfying the minimum pressing force of the sealing ring is the key to ensuring the sealing performance. The minimum pressing force of the sealing ring can be obtained from the design drawings or technical manuals, or can be obtained through calculations or experiments.

[0187] In some embodiments, for the metal sealing ring structure of the reactor pressure vessel, the minimum pressing force of the sealing ring can be calculated by formula (3):

[0188] F m =S*π*(D i 2 +D j 2 ) (3)

[0189] Among them, F m Indicates the minimum compression force of the sealing ring, S indicates the specific pressure of the sealing ring, D i Indicates the average diameter of the inner sealing ring, D j Indicates the average diameter of the outer sealing ring. The sealing ring specific pressure is an important parameter for evaluating the performance of the sealing ring, especially in nuclear reactor pressure vessels (RPVs) and other high-pressure systems. The sealing ring specific pressure refers to the compression force applied to the sealing ring per unit effective length. This ratio is used to evaluate the safety and reliability of the sealing ring under working conditions. The sealing ring specific pressure can be obtained by experimental measurement or theoretical calculation.

[0190] In step S1005 of some embodiments, the bolt tensile force is calculated based on the average stress of the bolt cross section and the bolt cross section size information to obtain the bolt tensile load. The bolt tensile load is an important parameter for evaluating whether the bolt compression force is sufficient.

[0191] In some embodiments, the bolt cross-sectional dimension information includes the bolt cross-sectional outer diameter and the bolt center hole diameter. The bolt tensile force is calculated based on the bolt cross-sectional average stress, the bolt cross-sectional outer diameter and the bolt center hole diameter to obtain the bolt tensile load, which can be referred to formula (4):

[0192]

[0193] Among them, F s represents the tensile load of the bolt, R represents the outer diameter of the bolt section, r represents the diameter of the bolt center hole, and σ represents the average stress of the bolt section.

[0194] In step S1006 of some embodiments, bolt compression force evaluation is performed based on the internal pressure load reaction force of the equipment, the minimum compression force of the sealing ring and the bolt tensile load to obtain bolt compression force evaluation information. The bolt compression force evaluation information is used to describe the sealing performance of the target monitoring equipment.

[0195] In some embodiments, the evaluation criteria for the reactor pressure vessel sealing ring may refer to formula (5):

[0196]

[0197] Where Q represents the bolt tightening force assessment information, F s Indicates the bolt tensile load, F p Indicates the internal pressure load reaction force of the equipment, F m Indicates the minimum compression force of the sealing ring, F t It represents the reaction force of other internal parts, that is, the reaction force caused by other internal parts adjacent to the flange. The reaction force of other internal parts is generally mentioned in the design drawings or technical manuals and is usually a constant.

[0198] Through steps S1001 to S1006, a comprehensive process is provided to ensure that the compression force of the bolt connection of the third type of structure is accurately evaluated, which helps to determine whether the bolt can provide sufficient compression force to maintain the seal under the current working conditions.

[0199] In step S902 of some embodiments, the flange separation of the target monitoring device is evaluated by the load stress monitoring parameters of various load types of the third type of structure. The flange separation involves the axial direction between the flanges. Such separation may cause the sealing surfaces to no longer be in close contact, thereby affecting the sealing performance. By analyzing the load stress monitoring parameters, flange separation evaluation information can be obtained, which is helpful for evaluating the tightness and sealing integrity of the flange connection.

[0200] See also Fig.11 In some embodiments, step S902 may include but is not limited to steps S1101 to S1102:

[0201] Step S1101, performing separation analysis on the third type of structure based on load stress monitoring parameters of various load types to obtain the axial separation between flanges;

[0202] Step S1102, evaluating the flange separation amount based on the axial separation amount between the flanges and the preset allowable springback amount of the sealing ring to obtain flange separation amount evaluation information.

[0203] In step S1101 of some embodiments, the separation amount analysis is performed on the third type of structure based on the load stress monitoring parameters of various load types. The finite element method or Green's function fast algorithm technology can be used to numerically simulate the stress and deformation of the target monitoring equipment under actual working conditions to obtain the axial separation amount between flanges, which is a key indicator for evaluating the tightness and sealing integrity of flange connections. The axial separation amount between flanges refers to the relative displacement of the flange along the axial direction of the connecting bolt.

[0204] In step S1102 of some embodiments, the axial separation between the flanges in the entire time history is obtained, and the flange separation is evaluated with the preset allowable springback of the sealing ring to obtain flange separation evaluation information. The obtained axial separation between the flanges is compared with the allowable springback of the sealing ring to determine whether the flange connection is within a safe operating range. The allowable springback of the sealing ring refers to the maximum elastic deformation that the sealing ring can withstand while ensuring the sealing performance. If the actual axial separation between the flanges exceeds this allowable springback, it may mean that the sealing performance is affected and repair or improvement measures need to be taken. The flange separation evaluation information is used to describe the comparison information between the axial separation between the flanges and the allowable springback of the sealing ring, which can reflect the connection status of the flange.

[0205] Through step S1101 to step S1102, the flange separation assessment information can be obtained, which is crucial for judging the sealing status of the equipment and formulating corresponding maintenance strategies. This process not only improves the monitoring accuracy of the flange connection status, but also provides a scientific basis for preventing potential leakage risks, ensuring the safe and reliable operation of the equipment.

[0206] In step S903 of some embodiments, the flange angle of the target monitoring device is evaluated by the load stress monitoring parameters of various load types of the third type of structure. The flange angle refers to the rotation angle of the flange in the connection plane. This rotation may cause the sealing surface to be misaligned or the angle to be too large, affecting the sealing effect and the safety of the surrounding equipment. By analyzing the load stress monitoring parameters, the flange angle evaluation information can be obtained, which helps to understand the dynamic changes of the flange connection under actual working conditions.

[0207] See also Fig.12 In some embodiments, step S903 may include but is not limited to steps S1201 to S1203:

[0208] Step S1201, performing flange rotation angle analysis on the third type of structure based on load stress monitoring parameters of various load types to obtain the rotation angle between flanges;

[0209] Step S1202, obtaining the maximum displacement of the flange along the mid-surface of the bolt based on the rotation angle between the flanges;

[0210] Step S1203, performing displacement evaluation based on the maximum displacement of the flange along the mid-surface of the bolt and the preset allowable value of flange displacement to obtain flange rotation angle evaluation information.

[0211] In step S1201 of some embodiments, based on the load stress monitoring parameters of various load types, the flange rotation angle analysis is performed on the third type of structure. The stress and deformation of the equipment under actual working conditions can be numerically simulated using the finite element method or the Green's function fast algorithm technology to obtain the flange rotation angle, which is a key indicator for evaluating the tightness and sealing integrity of the flange connection. The flange rotation angle refers to the relative rotation angle of the flange in the connection plane, which may affect the contact and sealing effect between the sealing surfaces.

[0212] In step S1202 of some embodiments, the relative rotation of the flange in the connection plane will indirectly cause the displacement of the flange in the bolt mid-plane. The displacement of the bolt mid-plane between the flanges can also be obtained by simulation using the finite element method. The maximum displacement of the flange along the bolt mid-plane is a direct reflection of the effect of the flange rotation angle on the bolt connection, which is related to the distribution and maintenance of the bolt preload.

[0213] In step S1203 of some embodiments, the displacement is evaluated based on the maximum displacement of the flange along the mid-surface of the bolt and the preset flange displacement allowable value. The displacement data obtained by simulation is compared with the allowable displacement limit to determine whether the bolt connection is within a safe operating range. The flange displacement allowable value can be obtained through design drawings or technical manuals. Finally, the flange rotation angle evaluation information is obtained to evaluate the comprehensive evaluation of the flange connection status.

[0214] Through steps S1201 to S1203, the displacement of the flange along the mid-surface of the bolt caused by the relative rotation angle of the flange in the connection plane is monitored to evaluate the flange connection angle of the third type of structure. This not only improves the monitoring accuracy of the flange connection status, but also provides a scientific basis for preventing potential leakage risks, thereby ensuring the safe and reliable operation of the equipment.

[0215] In step S904 of some embodiments, a sealing influencing parameter is obtained based on at least one of the bolt clamping force evaluation information, the flange separation amount evaluation information, and the flange rotation angle evaluation information. The sealing influencing parameter is a comprehensive indicator used to describe the sealing performance of the target monitoring equipment, and can be used to guide the maintenance and optimization of the sealing performance. For the target monitoring equipment with a flange bolt structure, at least one of the bolt clamping force evaluation, the flange separation amount evaluation, and the flange rotation angle evaluation is required to obtain the sealing performance of the target monitoring equipment. The bolt clamping force evaluation mainly considers the sealing performance of the target monitoring equipment at the load angle, while the flange separation amount evaluation and the flange rotation angle evaluation consider the sealing performance of the target monitoring equipment at the deformation angle.

[0216] Through steps S901 to S904, the sealing performance of the target monitoring equipment is evaluated from three optional perspectives: bolt tightening force evaluation, flange separation evaluation, and flange angle evaluation. This enables the health status of nuclear power equipment with different equipment structures to be monitored and evaluated in more dimensions, providing important decision support for equipment maintenance, replacement, and safe operation.

[0217] In step S104 of some embodiments, a health status assessment is performed based on the obtained health impact parameters to obtain health status characterization information corresponding to the target monitoring device. The health status characterization information includes the degree of damage to the device, the remaining life prediction, the failure risk level, etc., which provides a scientific basis for the maintenance, repair and replacement decisions of the device.

[0218] The embodiment of the present application obtains the equipment temperature data, equipment pressure data and equipment structure information corresponding to the target monitoring equipment, and then performs load stress analysis on the target monitoring equipment based on the equipment temperature data and equipment pressure data to obtain load stress monitoring parameters corresponding to multiple load types. For the target monitoring equipment, the load stress monitoring parameters of various load types are processed according to the stress impact assessment strategy to obtain health impact parameters, and then a health status assessment is performed based on the health impact parameters to obtain health status characterization information corresponding to the target monitoring equipment. Therefore, the present application configures the corresponding stress impact assessment strategy according to the equipment structure information, processes the load stress monitoring parameters of various load types, and thus can perform corresponding health status assessments for different equipment structures to obtain health status characterization information of nuclear power equipment.

[0219] See also Fig.13 The embodiment of the present application also provides a nuclear power equipment operation health status monitoring system, which can implement the above-mentioned nuclear power equipment operation health status monitoring method, and the system includes:

[0220] A data acquisition module, used to obtain device temperature data, device pressure data and device structure information corresponding to the target monitoring device; wherein the device structure information is pre-configured with a corresponding stress impact assessment strategy;

[0221] A load stress analysis module is used to analyze the load stress of the target monitoring equipment based on the equipment temperature data and the equipment pressure data, and obtain the load stress monitoring parameters corresponding to various load types;

[0222] The stress impact assessment module is used to process the load stress monitoring parameters of various load types according to the stress impact assessment strategy for the target monitoring equipment to obtain the health impact parameters;

[0223] The health status assessment module is used to perform health status assessment based on health impact parameters to obtain health status representation information corresponding to the target monitoring device.

[0224] The specific implementation of the nuclear power equipment operation health status monitoring system is basically the same as the specific implementation of the above-mentioned nuclear power equipment operation health status monitoring method, and will not be repeated here.

[0225] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned nuclear power equipment operation health status monitoring method when executing the computer program. The electronic device can be any smart terminal including a tablet computer, a car computer, etc.

[0226] See also Fig.14 , Fig.14 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0227] The processor 1401 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0228] The memory 1402 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1402 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1402, and the processor 1401 calls and executes the nuclear power equipment operation health status monitoring method of the embodiment of this application;

[0229] Input / output interface 1403, used to implement information input and output;

[0230] The communication interface 1404 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WI FI, Bluetooth, etc.);

[0231] A bus 1405 that transmits information between the various components of the device (e.g., the processor 1401, the memory 1402, the input / output interface 1403, and the communication interface 1404);

[0232] The processor 1401 , the memory 1402 , the input / output interface 1403 and the communication interface 1404 are connected to each other in communication within the device via a bus 1405 .

[0233] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned nuclear power equipment operation health status monitoring method is implemented.

[0234] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0235] The nuclear power equipment operation health status monitoring method, system, electronic device and storage medium provided in the embodiments of the present application obtain the equipment temperature data, equipment pressure data and equipment structure information corresponding to the target monitoring equipment, and then perform load stress analysis on the target monitoring equipment based on the equipment temperature data and equipment pressure data to obtain load stress monitoring parameters corresponding to multiple load types. For the target monitoring equipment, the load stress monitoring parameters of various load types are processed according to the stress impact assessment strategy to obtain health impact parameters, and then a health status assessment is performed based on the health impact parameters to obtain health status characterization information corresponding to the target monitoring equipment. Therefore, the present application configures the corresponding stress impact assessment strategy according to the equipment structure information, processes the load stress monitoring parameters of various load types, so that corresponding health status assessments can be performed for different equipment structures to obtain health status characterization information of nuclear power equipment.

[0236] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0237] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0238] The system embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0239] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0240] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0241] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0242] In the several embodiments provided in the present application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.

[0243] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0244] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0245] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0246] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for monitoring the operating health status of nuclear power equipment, characterized in that: The method comprises: Acquire device temperature data, device pressure data and device structure information corresponding to the target monitoring device; wherein the device structure information is pre-configured with a corresponding stress impact assessment strategy; Performing load stress analysis on the target monitoring device based on the device temperature data and the device pressure data to obtain load stress monitoring parameters corresponding to multiple load types; For the target monitoring equipment, processing the load stress monitoring parameters of various load types according to the stress impact assessment strategy to obtain health impact parameters; A health status assessment is performed according to the health impact parameter to obtain health status characterization information corresponding to the target monitoring device.

2. The method according to claim 1, characterized in that The stress impact assessment strategy includes a fatigue damage assessment strategy, a fracture damage assessment strategy and a sealing failure assessment strategy, the health impact parameter includes a fatigue impact parameter, a fracture impact parameter and a sealing impact parameter, and the load stress monitoring parameters of various load types are processed according to the stress impact assessment strategy for the target monitoring equipment to obtain the health impact parameter, including: When the device structure information reflects that the target monitoring device includes a first type of structure, the load stress monitoring parameters of various load types of the first type of structure are processed by the fatigue damage assessment strategy to obtain the fatigue influence parameters corresponding to the fatigue damage assessment strategy; When the target monitoring device includes a second type of structure based on the device structure information, the load stress monitoring parameters of various load types of the second type of structure are processed by the fracture damage assessment strategy to obtain the fracture influence parameters corresponding to the fracture damage assessment strategy; When the device structure information reflects that the target monitoring device includes a third type of structure, the load stress monitoring parameters of various load types of the third type of structure are processed through the sealing failure assessment strategy to obtain the sealing influencing parameters corresponding to the sealing failure assessment strategy.

3. The method according to claim 2, characterized in that When the target monitoring device reflects that the device structure information includes a first type of structure, the load stress monitoring parameters of various load types of the first type of structure are processed by the fatigue damage assessment strategy to obtain the fatigue influence parameters corresponding to the fatigue damage assessment strategy, including: performing stress superposition processing on the load stress monitoring parameters of various load types of the first type of structure to obtain stress superposition information; Performing alternating stress analysis based on the stress superposition information to obtain corresponding alternating stress information; Obtaining a stress-life curve corresponding to the target monitoring device; Based on the alternating stress information and the stress-life curve, fatigue loss accumulation analysis is performed by a rain flow counting method to obtain fatigue damage information as the fatigue influencing parameter.

4. The method according to claim 3, characterized in that The performing alternating stress analysis based on the stress superposition information to obtain corresponding alternating stress information includes: Performing amplitude analysis based on the stress superposition information to obtain stress amplitude information, wherein the stress amplitude information includes primary plus secondary stress amplitudes; Determining basic allowable stress strength information of the material of the target monitoring equipment based on the equipment temperature data; Performing an elastic-plastic analysis based on the primary and secondary stress amplitudes and the basic allowable stress intensity information of the material to obtain an elastic-plastic strain correction coefficient of the target monitoring device; An alternating stress analysis is performed based on the stress amplitude information and the elastic-plastic strain correction coefficient to obtain the corresponding alternating stress information.

5. The method according to claim 3, characterized in that: The performing fatigue loss accumulation analysis based on the alternating stress information and the stress-life curve to obtain fatigue damage information as the fatigue influencing parameter includes: Obtaining an environmental impact factor corresponding to the target monitoring device; Fatigue loss accumulation analysis is performed through the alternating stress information, the stress-life curve and the environmental impact factor to obtain fatigue damage correction information as the fatigue impact parameter.

6. The method according to claim 2, characterized in that When the target monitoring device reflects that the device structure information includes a second type of structure, the load stress monitoring parameters of various load types of the second type of structure are processed by the fracture damage assessment strategy to obtain the fracture influence parameters corresponding to the fracture damage assessment strategy, including: Acquire a data collection location of the device temperature data and the device pressure data corresponding to the second type of structure; Performing historical damage analysis on the data collection location to obtain damage tolerance information; Performing material property analysis on the data collection location to obtain material data information; Performing stress tolerance analysis on the initial crack corresponding to the load stress monitoring parameters of various load types at the data acquisition position and the damage tolerance information to obtain a stress intensity factor corresponding to the initial crack; A crack extension calculation is performed based on the stress intensity factor, the damage tolerance information and the material data information to obtain a crack extension amount as a fracture influencing parameter.

7. The method according to claim 2, characterized in that The sealing failure assessment strategy includes at least one of bolt clamping force assessment, flange separation assessment and flange rotation angle assessment. When the target monitoring device based on the device structure information reflects that the target monitoring device includes a third type of structure, the load stress monitoring parameters of various load types of the third type of structure are processed by the sealing failure assessment strategy to obtain the sealing influence parameters corresponding to the sealing failure assessment strategy, including: Based on the load stress monitoring parameters of various load types of the third type of structure, the bolt tightening force of the target monitoring device is evaluated to obtain bolt tightening force evaluation information; Based on the load stress monitoring parameters of various load types of the third type of structure, flange separation amount evaluation is performed on the target monitoring device to obtain flange separation amount evaluation information; Performing flange angle evaluation on the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain flange angle evaluation information; The sealing influencing parameter is obtained according to at least one of the bolt pressing force evaluation information, the flange separation amount evaluation information and the flange rotation angle evaluation information.

8. The method according to claim 7, characterized in that The bolt tightening force evaluation of the target monitoring device is performed based on the load stress monitoring parameters of various load types of the third type of structure to obtain the bolt tightening force evaluation information, including: Acquire structural specification data of the third type of structure, wherein the structural specification data includes bolt cross-sectional dimension information and an average diameter of a sealing ring; Based on the load stress monitoring parameters, internal pressure load data and average stress of the bolt section are obtained; The reaction force is calculated according to the internal pressure load data and the average diameter of the sealing ring to obtain the internal pressure load reaction force of the equipment of the third type structure; Based on the sealing form of the third type of structure, a minimum pressing force of the sealing ring corresponding to the third type of structure is obtained; Calculate the bolt tensile force based on the average stress of the bolt section and the bolt section size information to obtain the bolt tensile load; The bolt compression force is evaluated based on the reaction force of the internal pressure load of the equipment, the minimum compression force of the sealing ring and the tensile load of the bolt to obtain bolt compression force evaluation information.

9. The method according to claim 7, characterized in that: The load stress monitoring parameters of various load types based on the third type of structure are used to evaluate the flange separation amount of the target monitoring device to obtain the flange separation amount evaluation information, including: Performing separation analysis on the third type of structure based on the load stress monitoring parameters of the various load types to obtain an axial separation between flanges; The flange separation amount is evaluated based on the axial separation amount between the flanges and the preset allowable springback amount of the sealing ring to obtain the flange separation amount evaluation information.

10. The method according to claim 7, characterized in that The performing flange angle evaluation on the target monitoring device based on the load stress monitoring parameters of various load types of the third type of structure to obtain the flange angle evaluation information includes: Performing flange rotation angle analysis on the third type of structure based on the load stress monitoring parameters of the various load types to obtain an inter-flange rotation angle; Based on the rotation angle between the flanges, the maximum displacement of the flange along the mid-surface of the bolt is obtained; The flange rotation angle evaluation information is obtained by performing a displacement evaluation based on the maximum displacement of the flange along the mid-surface of the bolt and a preset flange displacement allowable value.

11. The method according to claim 1, characterized in that: The obtaining of device temperature data, device pressure data and device structure information corresponding to the target monitoring device includes: Based on the importance and damage tolerance of the equipment, determine the target monitoring equipment from the nuclear power equipment, and obtain equipment structure information corresponding to the target monitoring equipment; Perform damage tolerance comparison for a plurality of pre-determined important vulnerable positions to determine the data collection position corresponding to the target monitoring device; Based on the data collection position, the device temperature data and the device pressure data are acquired.

12. The method according to claim 1, characterized in that The method further includes acquiring equipment mechanical load data corresponding to the target monitoring equipment, wherein the multiple load types include thermal stress, pressure stress and mechanical load stress, and the load stress monitoring parameters include thermal stress monitoring parameters, pressure stress monitoring parameters and mechanical load stress monitoring parameters. The load stress of the target monitoring equipment is analyzed based on the equipment temperature data and the equipment pressure data to obtain load stress monitoring parameters corresponding to multiple load types, including: Perform thermal stress analysis based on the equipment temperature data to obtain the thermal stress monitoring parameter; Performing pressure stress analysis based on the equipment pressure data to obtain the pressure stress monitoring parameter; A mechanical load stress analysis is performed based on the equipment mechanical load data to obtain the mechanical load stress monitoring parameter.

13. A nuclear power equipment operation health status monitoring system, characterized in that: The system comprises: A data acquisition module, used to obtain device temperature data, device pressure data and device structure information corresponding to the target monitoring device; wherein the device structure information is pre-configured with a corresponding stress impact assessment strategy; A load stress analysis module, used to perform load stress analysis on the target monitoring device based on the device temperature data and the device pressure data, to obtain load stress monitoring parameters corresponding to multiple load types; A stress impact assessment module, for processing the load stress monitoring parameters of various load types according to the stress impact assessment strategy for the target monitoring device, so as to obtain health impact parameters; The health status assessment module is used to perform health status assessment according to the health impact parameters to obtain health status representation information corresponding to the target monitoring device.

14. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the method for monitoring the operating health status of nuclear power equipment according to any one of claims 1 to 12 when executing the computer program.

15. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for monitoring the operating health status of nuclear power equipment described in any one of claims 1 to 12 is implemented.

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