Method and device for determining the failure rate of mechanical equipment of a nuclear power plant

Abstract

The application provides a method and device for determining the failure rate of mechanical equipment in a nuclear power plant, which can be used in the technical field of safety maintenance of nuclear power plant equipment. In specific implementation, the type of a target mechanical equipment in a nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment are first acquired; then, according to the type of the target mechanical equipment, a preset device failure rate model library is searched to determine a matched preset device failure rate model as a target device failure rate model; meanwhile, according to the current environmental characteristic parameters, current environmental influence factor data values matched with the target mechanical equipment are acquired; and the current environmental influence factor data values are processed by using the target device failure rate model to determine the current failure rate of the target mechanical equipment. Thus, the specific failure rate of the mechanical equipment in the nuclear power plant under different environmental scenarios can be efficiently and accurately determined, errors can be effectively reduced, and the operation safety of the nuclear power plant can be ensured.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of nuclear power plant safety maintenance, and particularly relates to a method and device for determining the failure rate of mechanical equipment in a nuclear power plant. BACKGROUND

[0002] In the safety maintenance process of nuclear power plant equipment, it is often necessary to evaluate the failure rate of relevant mechanical equipment in the nuclear power plant to evaluate the safety of the overall operation of the nuclear power plant.

[0003] However, the complex operating conditions of the nuclear power plant often cause the relevant mechanical equipment to be in a dynamic and complex environment scene. Based on the existing method, when evaluating the failure rate of the relevant mechanical equipment, the performance change of the mechanical equipment in the dynamic and complex environment scene cannot be accurately reflected, and there is a large error, which affects the safety maintenance of the nuclear power plant.

[0004] At present, no effective solution has been proposed for the above problems. SUMMARY

[0005] The application provides a method and device for determining the failure rate of mechanical equipment in a nuclear power plant. By constructing and introducing a device failure rate model that considers the specific environmental factors of the nuclear power plant and the specific characteristics of each component unit of the mechanical equipment, the specific failure rate of the mechanical equipment in the nuclear power plant under different environment scenes can be efficiently and accurately determined, and the error can be effectively reduced.

[0006] The application provides a method for determining the failure rate of mechanical equipment in a nuclear power plant, comprising:

[0007] obtaining the device type of a target mechanical equipment in the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment;

[0008] According to the device type of the target mechanical equipment, a matched preset device failure rate model is determined from a preset device failure rate model library as a target device failure rate model; wherein the preset device failure rate model is obtained by using background data and test data according to a preset processing rule;

[0009] According to the current environmental characteristic parameters, current environmental influence factor data values matched with the target mechanical equipment are obtained;

[0010] The current failure rate of the target mechanical equipment is determined by processing the current environmental influence factor data values using the target device failure rate model.

[0011] In one embodiment, after determining the current failure rate of the target mechanical equipment, the method further comprises:

[0012] According to the current failure rate of the target mechanical equipment, a running state stage to which the target mechanical equipment currently belongs is determined, wherein the running state stage comprises a normal running stage, a failure warning stage and a safety measure stage;

[0013] According to the running state stage to which the target mechanical equipment currently belongs, a target maintenance strategy matched from a preset device maintenance strategy set is determined;

[0014] According to the target maintenance strategy, a matched maintenance treatment is performed on the target mechanical equipment.

[0015] In an embodiment, the method further comprises: constructing a preset device failure rate model matched with the first mechanical equipment in the following manner:

[0016] According to a preset processing rule, structure information, usage information and function information of the first mechanical equipment are acquired, wherein the first mechanical equipment is a mechanical equipment applied in a nuclear power plant;

[0017] According to the structure information, the usage information and the function information of the first mechanical equipment, the first mechanical equipment is disassembled into a plurality of component units;

[0018] According to the running environment of the nuclear power plant, a plurality of candidate environmental factors are determined;

[0019] According to background information and test data, through correlation analysis, environmental influence factors associated with the component units of the first mechanical equipment are screened from the plurality of candidate environmental factors, and corresponding environmental influence multiplication factors are determined;

[0020] According to the environmental influence factors associated with the component units of the first mechanical equipment and the corresponding environmental influence multiplication factors, the test data are used to calculate and determine a plurality of failure rates of the first mechanical equipment corresponding to different environmental scenarios according to the failure rates of the component units of the first mechanical equipment under the plurality of different environmental scenarios;

[0021] According to a preset fitting rule, data fitting is performed on the plurality of failure rates of the first mechanical equipment to obtain a preset device failure rate model matched with the first mechanical equipment.

[0022] In an embodiment, the environmental influence factors at least comprise running temperature, acting force and radiation pollutants.

[0023] In an embodiment, according to the background information and the test data, through correlation analysis, the environmental influence factors associated with the component units of the first mechanical equipment are screened from the plurality of candidate environmental factors, and the corresponding environmental influence multiplication factors are determined, comprising:

[0024] According to the background information, a correlation matrix about the component units and the candidate environmental factors is established;

[0025] According to the correlation matrix, a preset number of candidate environmental factors with high correlation are screened out as environmental impact factors;

[0026] According to the test data, the influence degree range of each environmental impact factor is determined;

[0027] According to the influence degree range of each environmental impact factor, an environmental impact multiplier corresponding to the environmental impact factor is determined.

[0028] In one embodiment, according to the environmental impact factor associated with the component unit of the first mechanical equipment, the corresponding environmental impact multiplier, and the test data, the failure rate of the component unit of the first mechanical equipment under multiple different environmental scenarios is calculated, and the failure rate of the first mechanical equipment corresponding to different environmental scenarios is determined, including:

[0029] The failure rate of the first mechanical equipment corresponding to the current environmental scenario is determined in the following manner:

[0030] According to the test data, the data value of the environmental impact factor of the current environmental scenario is determined;

[0031] According to the structure information, use information, and function information of the first mechanical equipment, the failure mode of the component unit leading to the failure of the first mechanical equipment is determined, as well as the mapping relationship corresponding to the failure mode;

[0032] According to the data value of the environmental impact factor of the current environmental scenario, the environmental impact multiplier, and the corresponding mapping relationship, the failure rate of the component unit of the first mechanical equipment under the current environmental scenario is calculated;

[0033] The failure rate of the first mechanical equipment corresponding to the current environmental scenario is determined by combining the failure rate of the component unit of the first mechanical equipment under the current environmental scenario.

[0034] In one embodiment, according to a preset fitting rule, data fitting is performed using the failure rates of multiple first mechanical equipments to obtain a preset device failure rate model matched with the first mechanical equipment, including:

[0035] According to the preset fitting rule, data fitting is performed based on the cumulative distribution function using the failure rates of multiple first mechanical equipments to obtain a preset device failure rate model matched with the first mechanical equipment.

[0036] In one embodiment, the first mechanical equipment includes a spring-loaded safety valve;

[0037] Correspondingly, the environmental impact factors include operating temperature, fluid pressure, contact stress, fluid viscosity, and radiation pollutants;

[0038] The component unit of the first mechanical device comprises a poppet valve assembly, a seal, a spring, a solenoid, and a valve body.

[0039] The application further provides a device for determining a failure rate of a mechanical device of a nuclear power plant, comprising:

[0040] A first obtaining module is configured to obtain a device type of a target mechanical device of the nuclear power plant and a current environmental characteristic parameter of the target mechanical device;

[0041] A first determining module is configured to determine, according to the device type of the target mechanical device, a preset device failure rate model matched with the target mechanical device from a preset device failure rate model library as a target device failure rate model, wherein the preset device failure rate model is obtained by using background data and test data according to a preset processing rule in advance;

[0042] A second obtaining module is configured to obtain a current environmental influence factor data value matched with the target mechanical device according to the current environmental characteristic parameter;

[0043] A second determining module is configured to process the current environmental influence factor data value by using the target device failure rate model to determine a current failure rate of the target mechanical device.

[0044] The application further provides a computer readable storage medium, which stores computer instructions, and the instructions are executed by a processor to implement relevant steps of the method for determining the failure rate of the mechanical device of the nuclear power plant.

[0045] Based on the application provided by the determination method and device of the failure rate of mechanical equipment in nuclear power plant, before the specific implementation, the specific characteristics of each component unit of the mechanical equipment in nuclear power plant can be combined with the specific environmental factors of nuclear power plant, and a plurality of preset device failure rate models corresponding to different types of mechanical equipment in nuclear power plant can be constructed, which can accurately reflect the performance change of mechanical equipment in dynamic and changeable environment scene, and has high precision and good effect. In the specific implementation, the device type of the target mechanical equipment in the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment can be obtained; then, according to the device type of the target mechanical equipment, the matched preset device failure rate model is determined from the preset device failure rate model library as the target device failure rate model; at the same time, according to the current environmental characteristic parameters, the current environmental influence factor data value matched with the target mechanical equipment is obtained; then, the current failure rate of the target mechanical equipment is determined by processing the current environmental influence factor data value by using the target device failure rate model. Therefore, the specific failure rate of the mechanical equipment in the nuclear power plant under different environmental scenes can be efficiently and accurately determined, the error can be effectively reduced, and the operation safety of the nuclear power plant can be better maintained. Further, the target device failure rate model can be used to finely determine the specific failure rate of each component unit of the mechanical equipment under the current environmental scene, so that the safety maintenance of the target mechanical equipment in the nuclear power plant can be more effective and more targeted, and relatively better maintenance effect can be obtained. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present specification, the drawings needed in the embodiments will be briefly introduced as follows. The drawings in the following description are only some embodiments described in the present specification, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0047] Figure 1 It is a flowchart of the determination method of the failure rate of the mechanical equipment in the nuclear power plant provided by an embodiment of the present specification;

[0048] Figure 2 It is a schematic diagram of one embodiment of the determination method of the failure rate of the mechanical equipment in the nuclear power plant provided by the present specification in one scene example;

[0049] Figure 3 It is a schematic diagram of one embodiment of the determination method of the failure rate of the mechanical equipment in the nuclear power plant provided by the present specification in one scene example;

[0050] Figure 4 It is a schematic diagram of one embodiment of the determination method of the failure rate of the mechanical equipment in the nuclear power plant provided by the present specification in one scene example;

[0051] Figure 5 is a structural component schematic diagram of an electronic device provided by an embodiment of the present specification;

[0052] Figure 6 is a structural component schematic diagram of a nuclear power plant mechanical equipment failure rate determination device provided by an embodiment of the present specification;

[0053] Figure 7 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0054] Figure 8 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0055] Figure 9 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0056] Figure 10 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0057] Figure 11 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0058] Figure 12 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0059] Figure 13 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0060] Figure 14 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0061] Figure 15 is a schematic diagram of one embodiment of the nuclear power plant mechanical equipment failure rate determination method provided by the present specification in one scenario example;

[0062] Figure 16is a schematic diagram of an embodiment of a method for determining a failure rate of a mechanical device of a nuclear power plant according to an embodiment of the present specification in a scenario example;

[0063] Figure 17 is a schematic diagram of an embodiment of a method for determining a failure rate of a mechanical device of a nuclear power plant according to an embodiment of the present specification in a scenario example. DETAILED DESCRIPTION

[0064] In order to enable persons skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the present specification will be described clearly and completely in the following with reference to the drawings in the embodiments of the present specification. Obviously, the described embodiments are only a part of the embodiments of the present specification, rather than all the embodiments. Based on the embodiments in the present specification, all other embodiments obtained by persons skilled in the art without creative labor should fall within the scope of protection of the present specification.

[0065] It should be noted that in the embodiments of the present specification, some software, components, models and the like in the industry may be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the technical solution embodiments of the present application, but it does not mean that the applicant has or will necessarily use the scheme.

[0066] Considering the existing device failure rate determination method, most of which do not take into account the variable environmental scenarios (for example, extreme high temperature, high pressure, high radiation environmental scenarios) faced by nuclear power plants, often using constant device overall failure rate data for evaluation, which cannot accurately reflect the performance changes of the device under the dynamic and variable environmental scenarios, thereby affecting the subsequent evaluation and maintenance of the safety of the nuclear power plant.

[0067] In view of the root cause of the above problems, the applicant considers that: first, the various environmental factors in the nuclear power plant operating environment can be carefully sorted out; at the same time, according to the specific situation and characteristics of the nuclear power plant mechanical device (for example, structural characteristics, use characteristics, functional characteristics), the overall mechanical device is disassembled into multiple fine-grained component units; focusing on the specific operating characteristics of the component unit, further screening out the environmental impact factors that have a more significant impact on the mechanical device failure from the previously sorted environmental factors; then, combined with the failure mode of the component unit of the mechanical device, a corresponding mapping relationship is constructed, and the mapping relationship is used to calculate the failure rate of each component unit; then, the failure rates of multiple component units are used in combination to integrate the failure rate of the overall mechanical device.

[0068] Further, the failure rate of the mechanical equipment in various environmental scenarios of the nuclear power plant can also be determined through the above experimental test; and the failure rate of the mechanical equipment in various environmental scenarios is used to establish a preset equipment failure rate model for the type of mechanical equipment through data fitting. In this way, when the failure rate of the nuclear power plant mechanical equipment of this type is needed in other environmental scenarios, the above preset equipment failure rate model can be directly used to efficiently determine the equipment failure rate with high precision and good effect.

[0069] Based on the above idea, referring to Figure 1 The embodiment of the present specification provides a method for determining the failure rate of a nuclear power plant mechanical equipment. In specific implementation, the method can include the following contents:

[0070] S101: Obtain the equipment type of a target mechanical equipment of a nuclear power plant, and the current environmental characteristic parameter of the target mechanical equipment;

[0071] S102: According to the equipment type of the target mechanical equipment, determine a matched preset equipment failure rate model from a preset equipment failure rate model library as a target equipment failure rate model; wherein the preset equipment failure rate model is constructed by using background data and test data according to a preset processing rule in advance;

[0072] S103: According to the current environmental characteristic parameter, obtain the current environmental influence factor data value matched with the target mechanical equipment;

[0073] S104: Process the current environmental influence factor data value by using the target equipment failure rate model to determine the current failure rate of the target mechanical equipment.

[0074] Among them, the above target mechanical equipment can be understood as a mechanical equipment running in a nuclear power plant.

[0075] Specifically, the above target mechanical equipment can include a spring-loaded safety valve, a sliding valve, a gear pump, a plunger pump, an impeller pump, a fluid driver, a hose, etc.

[0076] Of course, it should be noted that the above listed target mechanical equipment is only an illustrative description. In specific implementation, according to specific conditions and processing requirements, the method for determining the failure rate of the nuclear power plant mechanical equipment provided by the present specification can also be used to determine the failure rate of other types of mechanical equipment of the nuclear power plant. For this, the present specification is not limited.

[0077] The spring-loaded safety valve will be mainly used as an example for specific description. For other types of mechanical equipment of the nuclear power plant, the embodiments of the spring-loaded safety valve can be referred to. The present specification will not be repeated.

[0078] The preset device failure rate model library can store a plurality of preset device failure rate models, and each preset device failure rate model corresponds to at least one device type of a mechanical device of a nuclear power plant.

[0079] The preset device failure rate model can be understood as an algorithm model that can accurately and quickly determine the failure rate of the mechanical device in the specific environment, by considering the environmental influence factors in the nuclear power plant operation environment and the specific characteristics of the component unit of the corresponding mechanical device.

[0080] The failure rate, also known as the failure rate, can be the probability of failure or failure of the device per unit time.

[0081] The current environmental characteristic parameters of the target mechanical device can include the local temperature of the region where the target mechanical device is currently located, the force (such as fluid pressure, contact stress, friction, etc.) currently received by the target mechanical device, the radiation condition (such as radiation pollutants, radiation intensity, corrosion degree caused by radiation, etc.) of the region where the target mechanical device is currently located, and the like.

[0082] The environmental influence factor can be understood as an environmental factor that significantly affects the failure of the target mechanical device in the nuclear power plant operation environment.

[0083] The background information can include the failure rate of the nuclear power plant mechanical device determined based on the constant mode and the determination standard of the related failure rate.

[0084] Specifically, the background information can be a nuclear power plant device reliability data analysis file provided by a related nuclear safety regulatory agency, such as a Mechanical Device Reliability Prediction Manual.

[0085] In specific implementation, the environmental influence factors suitable for calculating the failure rate of the target mechanical device can be determined according to the environmental influence factor template matched with the device type of the target mechanical device; and the corresponding current environmental influence factor data value can be extracted or calculated according to the current environmental characteristic parameters of the target mechanical device.

[0086] In specific implementation, the target device failure rate model can be used to process the current environmental influence factor data value to obtain a corresponding target processing result; and the current failure rate of the target mechanical device can be determined according to the target processing result.

[0087] Based on the above embodiment, by introducing and using the pre-constructed matching target device failure rate model, the influence of environmental factors on the performance of the target mechanical device under different environmental scenarios of the nuclear power plant can be fully considered, and the failure rate of the target mechanical device with high precision and small error can be efficiently determined.

[0088] In some embodiments, after determining the current failure rate of the target mechanical device, the method can further include the following when implemented:

[0089] S1: determining the running state stage to which the target mechanical device currently belongs according to the current failure rate of the target mechanical device; wherein the running state stage includes: normal running stage, failure warning stage, safety measure stage;

[0090] S2: determining the matching target maintenance strategy from the preset device maintenance strategy set according to the running state stage to which the target mechanical device currently belongs;

[0091] S3: performing matching maintenance processing on the target mechanical device according to the target maintenance strategy.

[0092] Specifically, the running state stage of the mechanical device of the nuclear power plant can be divided into four different stages, i.e., normal running stage, failure warning stage, safety measure stage, and rapid failure stage, in combination with background information and historical maintenance data of the nuclear power plant. The severity of the failure in the failure warning stage is higher than that in the normal running stage, the severity of the failure in the safety measure stage is higher than that in the failure warning stage, and the severity of the failure in the rapid failure stage is higher than that in the safety measure stage.

[0093] When implemented, according to the current failure rate of the target mechanical device, when it is determined that the current failure rate is less than a first failure rate reference threshold, it can be determined that the currently belonging running state stage is the normal running stage; when it is determined that the current failure rate is greater than or equal to the first failure rate reference threshold and less than a second failure rate reference threshold, it can be determined that the currently belonging running state stage is the failure warning stage; when it is determined that the current failure rate is greater than or equal to the second failure rate reference threshold and less than a third failure rate reference threshold, it can be determined that the currently belonging running state stage is the safety measure stage; and when it is determined that the current failure rate is greater than or equal to the third failure rate reference threshold, it can be determined that the currently belonging running state stage is the rapid failure stage.

[0094] The first failure rate reference threshold, the second failure rate reference threshold, and the third failure rate reference threshold can be determined according to the historical maintenance data of the nuclear power plant and the test data of the related experiment.

[0095] In particular implementation, the preset device maintenance strategy set can be queried to determine a preset maintenance strategy matching the current running state stage to which the target mechanical device belongs as the target maintenance strategy.

[0096] The preset device maintenance strategy set includes a plurality of preset device maintenance strategies, and each preset device maintenance strategy corresponds to one running state stage.

[0097] Based on the above embodiment, the current running state stage to which the target mechanical device belongs can be finely determined according to the current failure rate of the target mechanical device, and the target maintenance strategy matching the current running state stage is determined and utilized to perform targeted maintenance processing on the target mechanical device, so that better maintenance effect is obtained, and the operation safety of the nuclear power plant is effectively ensured.

[0098] In some embodiments, before implementation, historical maintenance records can be extracted from historical maintenance data of the nuclear power plant, wherein the historical maintenance records also carry corresponding historical failure rates, historical maintenance records with successful maintenance are selected from the historical maintenance records as positive sample historical maintenance records, the running state stages to which the positive sample historical maintenance records belong are determined according to the historical failure rates of the positive sample historical maintenance records, and the positive sample historical maintenance records are divided into a plurality of data groups, wherein one data group corresponds to one running state stage, the plurality of data groups are respectively clustered to extract common operations for maintenance of the same running state stage, and the common operations are combined to obtain a plurality of preset device maintenance strategies corresponding to different running state stages.

[0099] In particular implementation, when it is determined that the current running state stage to which the target mechanical device belongs is the normal running stage, it can be judged that the target mechanical device is currently in a stable state, and the target mechanical device will most likely run safely within the design parameter range. At this time, the target mechanical device can be regularly and preventively maintained according to the matching target maintenance strategy.

[0100] When it is determined that the current running state stage to which the target mechanical device belongs is the failure warning stage, it can be judged that the target mechanical device currently starts to show early signs of potential failure due to environmental factors such as force. At this time, the target mechanical device can be relatively frequently monitored according to the matching target maintenance strategy, and the early signs of failure that have already appeared can be intervened.

[0101] When it is determined that the current running state stage to which the target mechanical device belongs is the safety measure stage, it can be judged that the target mechanical device is currently relatively prone to failure. At this time, the target mechanical device can be relatively more frequently monitored according to the matching target maintenance strategy, and the detected failure can be processed for failure elimination.

[0102] In the case that the running state phase to which the target mechanical equipment currently belongs is determined as the rapid failure phase, it can be judged that the target mechanical equipment is relatively easy to have a catastrophic failure at present. At this time, the target mechanical equipment can be monitored in real time according to the matching target maintenance strategy, and emergency treatment such as shutdown can be performed in time when a failure is detected; at the same time, an alarm prompt about the rapid failure phase can be sent to the operation and maintenance personnel, so that the operation and maintenance personnel can intervene in processing in time.

[0103] In some embodiments, based on the above target equipment failure rate model, in addition to the failure rate of the target mechanical equipment as a whole, the failure rate of each component unit in the target mechanical equipment can also be determined.

[0104] Correspondingly, after the current failure rate of the target mechanical equipment is determined by processing the current environmental influence factor data value by using the target equipment failure rate model, the method can further include the following when implemented:

[0105] When the current failure rate of the target mechanical equipment is greater than or equal to the second failure rate reference threshold, the current failure rate of each component unit of the target mechanical equipment is determined according to the target processing result.

[0106] Further, the current failure rate of each component unit of the target mechanical equipment can be used to determine the component unit whose failure rate is greater than a preset risk threshold as a failure risk unit from the component units of the target mechanical equipment, and the failure risk unit in the target mechanical equipment can be tracked and monitored.

[0107] In addition, the failure mode of the failure risk unit in the target mechanical equipment can also be determined according to the target processing result, and the failure risk unit can be repaired and adjusted in combination with the failure mode, so as to reduce the failure risk of the failure risk unit and effectively reduce the failure risk of the target mechanical equipment.

[0108] In some embodiments, referring to Figure 2 As shown in the figure, the method can further include the following when implemented: a preset equipment failure rate model matched with the first mechanical equipment is constructed in the following manner:

[0109] S1: According to a preset processing rule, the structure information, use information and function information of the first mechanical equipment are obtained; wherein the first mechanical equipment is a mechanical equipment applied in a nuclear power plant;

[0110] S2: According to the structure information, use information and function information of the first mechanical equipment, the first mechanical equipment is disassembled into a plurality of component units;

[0111] S3: determining a plurality of candidate environmental factors according to the operation environment of the nuclear power plant;

[0112] S4: according to the background information and the test data, performing correlation analysis to screen out environmental impact factors associated with the component unit of the first mechanical equipment from the plurality of candidate environmental factors, and determining corresponding environmental impact multipliers;

[0113] S5: according to the environmental impact factors associated with the component unit of the first mechanical equipment and the corresponding environmental impact multipliers, calculating the failure rate of the component unit of the first mechanical equipment under a plurality of different environmental scenarios using the test data, and determining a plurality of failure rates of the first mechanical equipment corresponding to different environmental scenarios;

[0114] S6: according to a preset fitting rule, fitting the failure rates of the plurality of first mechanical equipment to obtain a preset equipment failure rate model matched with the first mechanical equipment.

[0115] The first mechanical equipment can be understood as a mechanical equipment of a certain type of equipment in the nuclear power plant. The first mechanical equipment can be understood as a sample equipment of the corresponding equipment type.

[0116] The component unit can be understood as a key structural component that constitutes the first mechanical equipment.

[0117] The preset processing rule can be understood as a DSMCF (Disassemble-Screen-Map-Comprehensive-Fit) designed processing flow based on the fitting rule, which is used to guide the construction of a failure rate model that can reflect the influence of dynamically changing environmental scenarios on the performance of mechanical equipment.

[0118] Based on the above embodiment, the background information and test data can be fully utilized to construct a preset equipment failure rate model with strong pertinence and good effect according to the preset processing rule.

[0119] In specific implementation, taking a spring-loaded safety valve as an example, according to the structure information, use information and function information of the spring-loaded safety valve, the spring-loaded safety valve can be divided into five component units, i.e. a poppet valve assembly, a seal, a spring, a solenoid and a valve body.

[0120] In specific implementation, according to the specific operation environment of the nuclear power plant, the full amount of environmental factors can be determined as candidate environmental factors. Specifically, first, according to the specific operation environment of the nuclear power plant, the first-level environmental factors can be determined, including mechanical action, heat, electricity, chemical action, radiation, etc. Then, in combination with the structure information, use information, function information, etc. of each mechanical equipment, for each first-level environmental factor, the refined environmental characteristics of a single first-level environmental factor and the combined action of multiple first-level environmental factors are determined as second-level environmental factors (for example, operating temperature, fluid viscosity, etc.); and the above-mentioned second-level environmental factors are determined as candidate environmental factors.

[0121] In specific implementation, according to the background information and test data, the content of the component unit of the first mechanical equipment with respect to the candidate environmental factors can be counted; and according to the statistical result, the component unit is taken as the horizontal axis, and the candidate environmental factors that have an impact on the component unit are taken as the vertical axis, to construct the corresponding correlation matrix; and according to the correlation matrix, the correlation analysis is performed by calculating and using the proportion value of the number of times of the candidate environmental factors that have an impact on the component unit, to screen out the candidate environmental factors with a proportion value greater than a preset proportion threshold, as environmental impact factors that have a significant impact on the failure of the target mechanical equipment. Further, according to the correlation matrix, the component unit associated with the environmental impact factor can be determined. In addition, according to the test data, by analyzing the influence degree of the environmental impact factor on the associated component unit, the multiplication factor of each environmental impact factor for the target mechanical equipment and the corresponding mapping relationship can be determined.

[0122] In specific implementation, when performing correlation analysis according to the background information and test data, the interaction and interconnection between different environmental factors can also be combined, based on the fault mode, fault cause, fault influence, etc. of the component unit, so that the environmental impact factors associated with the component unit of the first mechanical equipment and the corresponding environmental impact multiplication factor can be more accurately determined. For example, the operating temperature is too high, which on the one hand is easy to cause the hardening, fragility, loss of elasticity, rupture, excessive wear, etc. of non-metallic materials, leading to the failure of the sealing element. On the other hand, due to the high temperature, the physical properties of fluids such as lubricants are also affected, resulting in a decrease in fluid viscosity and further affecting the sealing element.

[0123] In some embodiments, the environmental impact factors can at least include operating temperature, acting force, radiation pollutants, etc.

[0124] The acting force can specifically include fluid pressure, contact force, friction force, etc.

[0125] In this embodiment, the operating temperature, the force, and the radiation pollutant are selected as the most basic environmental impact factors, considering that the operating environment of the nuclear power plant is usually high temperature, high pressure, and high radiation; and through a large number of tests, it is found that the above three environmental impact factors have a more significant impact on most mechanical equipment involved in the operation of the nuclear power plant.

[0126] Based on the above embodiment, by using the environmental impact factors such as the operating temperature, the force, and the radiation pollutant, the nuclear power plant operation and maintenance scene can be better adapted.

[0127] In specific implementation, for different types of mechanical equipment of the nuclear power plant, in combination with specific application conditions, in addition to the operating temperature, the force, and the radiation pollutant, the above environmental impact factors can also include one or more of the following: fluid viscosity, voltage and current, operating speed, lubricant, and the like.

[0128] In some embodiments, referring to Figure 3 As shown in the figure, according to the background information and the test data, the environmental impact factors associated with the component unit of the first mechanical equipment are selected from a plurality of candidate environmental factors by performing correlation analysis, and the corresponding environmental impact multiplication factors are determined, which can include the following contents in specific implementation:

[0129] S1: According to the background information, a correlation matrix about the component unit and the candidate environmental factors is established;

[0130] S2: According to the correlation matrix, a preset number of candidate environmental factors with high correlation are selected as the environmental impact factors;

[0131] S3: According to the test data, the influence degree range of each environmental impact factor is determined;

[0132] S4: According to the influence degree range of each environmental impact factor, the environmental impact multiplication factor corresponding to the environmental impact factor is determined.

[0133] In specific implementation, according to the test data, the maximum value and the minimum value of the influence data value of each environmental impact factor for the associated component unit of different failure modes can be determined by data statistics, and then based on the above maximum value and the minimum value, the influence degree range of each environmental impact factor is determined.

[0134] In specific implementation, according to the influence degree range of the environmental impact factor, the value of the multiplication factor of the environmental impact factor with a larger influence degree range can be set to be relatively larger, and the value of the multiplication factor of the environmental impact factor with a smaller influence degree range can be set to be relatively smaller.

[0135] Based on the above embodiment, the environmental impact factor and the environmental impact multiplier corresponding to the environmental impact factor can be accurately determined by using the background information and the test data.

[0136] In some embodiments, referring to Figure 4 As shown in the above, the failure rate of the first mechanical equipment corresponding to different environmental scenarios is determined according to the environmental impact factor associated with the component unit of the first mechanical equipment, the corresponding environmental impact multiplier, and the failure rate of the component unit of the first mechanical equipment under a plurality of different environmental scenarios calculated by using the test data. Specifically, the failure rate of the first mechanical equipment corresponding to the current environmental scenario can be determined in the following manner:

[0137] S1: determining the data value of the environmental impact factor of the current environmental scenario according to the test data;

[0138] S2: determining the failure mode of the component unit causing the failure of the first mechanical equipment and the corresponding mapping relationship according to the structure information, use information, and function information of the first mechanical equipment;

[0139] S3: calculating the failure rate of the component unit of the first mechanical equipment under the current environmental scenario according to the data value of the environmental impact factor of the current environmental scenario, the environmental impact multiplier, and the corresponding mapping relationship;

[0140] S4: determining the failure rate of the first mechanical equipment corresponding to the current environmental scenario by using the failure rate of the component unit of the first mechanical equipment under the current environmental scenario.

[0141] Specifically, according to the mapping relationship corresponding to the failure mode of the component unit, the sub-failure rate of the component unit under the failure mode can be calculated by using the data value of the environmental impact factor of the current environment and the environmental impact multiplier. Then, the sub-failure rates of the component unit under different failure modes are combined to calculate the failure rate of the component unit according to the influence degree of different failure modes on the overall failure of the component unit.

[0142] Based on the above embodiment, the failure rate of each component unit of the first mechanical equipment is calculated based on the dimension of the component unit, and then the failure rate of the first mechanical equipment is accurately determined by combining the failure rates of each component unit based on the dimension of the first mechanical equipment.

[0143] Specifically, taking the spring-loaded safety valve as an example, the failure rates of the poppet assembly, the seal, the spring, the solenoid, and the valve body can be calculated respectively according to the following formulas, and then the failure rate of the first mechanical equipment is obtained by combining the failure rates of the above component units:

[0144] λ VA = λ PO + λ SE + λ SP + λ SO + λ HO

[0145] λ PO = λ PO,B · C P · C N · C S

[0146] λ SE = λ SE，B · C P · C v · C T · C N

[0147] λ SP = λ SP，B · C R

[0148] λ SO = λ SO,B · C T · C k

[0149] λ HO = λ HO,B

[0150] where λ VA is the failure rate of the spring-loaded safety valve, λ PO is the failure rate of the poppet assembly, λ SE is the failure rate of the seal, λ SP is the failure rate of the spring, λ SO is the failure rate of the solenoid, λ HO is the failure rate of the valve body, λ PO，B is the basic failure rate of the poppet assembly (e.g., 1.4 failures per million operations), λ SE，B is the basic failure rate of the seal (e.g., 2.4 failures per million operations), λ SP，B is the basic failure rate of the spring (e.g., 23.8 failures per million operations), λ SO，B is the basic failure rate of the solenoid (e.g., 2.77 failures per million operations), λ HO，B is the basic failure rate of the valve body (e.g., 0.01 failures per million operations), C P is the fluid pressure multiplication factor, C v is the fluid viscosity multiplication factor, C Nis a radiation contamination multiplication factor, C S is a contact stress multiplication factor, C T is an operating temperature multiplication factor, C R is a corrosive environment multiplication factor, C K is an applicability multiplication factor.

[0151] In specific implementation, the failure rates of the component units without considering the environmental influence factors can be determined as the basic failure rates of the component units according to background materials (for example, the Mechanical Equipment Reliability Prediction Manual) by table lookup. Meanwhile, the values of the environmental influence multiplication factors determined previously can be adjusted according to the data values of the environmental influence factors of the current environmental scenario and the corresponding mapping relationship, so as to obtain the multiplication factors of the environmental influence factors used for specifically determining the failure rates in the above formula.

[0152] In specific implementation, for each component unit, the failure rates of the component unit in various failure modes can be calculated according to the data values of the environmental influence factors of the current environmental scenario, the environmental influence multiplication factors and the corresponding mapping relationship. Then, the first weight coefficients for different failure modes can be determined according to the influence degrees of different failure modes on the failure conditions of the component unit. The failure rates in multiple failure modes are weighted and summed according to the first weight coefficients, so as to obtain the failure rate of the component unit. After obtaining the failure rates of the component units of the first mechanical equipment, the second weight coefficients for different component units can be determined according to the influences of different component units on the function implementation and safe operation of the first mechanical equipment. The failure rates of the multiple component units are weighted and summed according to the second weight coefficients, so as to obtain the failure rate of the first mechanical equipment as a whole.

[0153] In some embodiments, the preset equipment failure rate model matched with the first mechanical equipment is obtained by data fitting using the failure rates of the multiple first mechanical equipment according to a preset fitting rule. In specific implementation, the method can include the following steps.

[0154] The preset equipment failure rate model matched with the first mechanical equipment is obtained by data fitting based on a cumulative distribution function using the failure rates of the multiple first mechanical equipment according to a preset fitting rule.

[0155] The cumulative distribution function can be a Gamma CDF function.

[0156] In specific implementation, an initial model based on the Gamma CDF function can be constructed according to the following formula:

[0157]

[0158] Wherein, y represents the cumulative failure rate of the first mechanical equipment; x is a to-be-determined probability value; y0 is the initial value of the CDF, which is usually 0, because when x approaches 0, the cumulative probability also tends to 0; A1 is the maximum change of the CDF, which is usually 1, which indicates that when the random variable changes in its possible range, the CDF changes from 0 to 1; a is the shape parameter, also known as alpha, which affects the shape of the distribution; b is the scale parameter, also known as beta, which affects the width and position of the distribution; τ(a) is the Gamma function, which is equal to (a-1)! when a is a positive integer.

[0159] Based on the above initial model, by processing and learning the failure rates of multiple first mechanical equipment, data fitting is performed to obtain a preset equipment failure probability model that meets the requirements.

[0160] Based on the above embodiment, by introducing and using the cumulative distribution function, the change of the failure rate of the first mechanical equipment and each component unit of the first mechanical equipment can be well simulated, and a preset equipment failure probability model with high precision and good effect for the first mechanical equipment is obtained.

[0161] In specific implementation, the above method can be used to construct a plurality of preset equipment failure rate models corresponding to a plurality of different equipment types according to the background information and test data of first mechanical equipment of different equipment types according to the preset processing rule; and then the plurality of preset equipment failure rate models are combined to obtain a corresponding preset equipment failure rate model library.

[0162] In some embodiments, the first mechanical equipment can specifically include a spring-loaded safety valve.

[0163] Correspondingly, the environmental influence factors can include operating temperature, fluid pressure, contact stress, fluid viscosity, and radiation pollutants.

[0164] The component units of the first mechanical equipment include a poppet valve assembly, a seal, a spring, a solenoid, and a valve body.

[0165] Based on the above embodiment, before specific implementation, a matching target equipment failure probability model can be constructed for the spring-loaded safety valve. In specific implementation, the above target equipment failure probability model can be used to accurately and efficiently determine the specific failure rate of the spring-loaded safety valve under the current environmental scenario.

[0166] From the above, based on the nuclear power plant mechanical equipment failure rate determination method provided in the embodiment of the present specification, before implementation, the specific characteristics of each component unit of the mechanical equipment can be combined with the specific environmental factors of the nuclear power plant to construct a plurality of preset device failure rate models corresponding to different types of mechanical equipment in the nuclear power plant, which have high precision and good effect. During implementation, the device type of the target mechanical equipment in the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment can be obtained; then, according to the device type of the target mechanical equipment, a matching preset device failure rate model is determined from the preset device failure rate model library as a target device failure rate model; at the same time, according to the current environmental characteristic parameters, current environmental influence factor data values matched with the target mechanical equipment are obtained; the current environmental influence factor data values are processed by using the target device failure rate model to determine the current failure rate of the target mechanical equipment. Thus, the failure rate of the mechanical equipment in the nuclear power plant under different environmental scenarios can be efficiently and accurately determined, errors can be effectively reduced, and the operation safety of the nuclear power plant can be maintained.

[0167] The embodiment of the present specification provides an electronic device, as shown in Figure 5 The electronic device includes a network communication port 501, a processor 502, and a memory 503, which are connected by internal cables so that each structure can perform specific data interaction.

[0168] The network communication port 501 can be specifically used to obtain the device type of the target mechanical equipment in the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment.

[0169] The processor 502 can be specifically used to determine a matching preset device failure rate model from the preset device failure rate model library as a target device failure rate model according to the device type of the target mechanical equipment; the preset device failure rate model is constructed by using background data and test data according to a preset processing rule in advance; current environmental influence factor data values matched with the target mechanical equipment are obtained according to the current environmental characteristic parameters; and the current environmental influence factor data values are processed by using the target device failure rate model to determine the current failure rate of the target mechanical equipment.

[0170] The memory 503 can be specifically used to store corresponding instruction programs and related data such as current environmental characteristic parameters and target device failure models.

[0171] Based on the above method, the related structure performance of the electronic device can be effectively utilized, the data processing speed of the electronic device can be improved, and the determination of the failure rate of the mechanical equipment in the nuclear power plant can be efficiently realized.

[0172] In the embodiment, the network communication port 501 can be a virtual port bound with different communication protocols, so as to send or receive different data. For example, the network communication port can be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for mail data communication. In addition, the network communication port can also be an actual communication interface or a communication chip. For example, it can be a wireless mobile network communication chip such as GSM, CDMA, etc.; it can also be a Wifi chip; it can also be a Bluetooth chip.

[0173] In the embodiment, the processor 502 can be implemented in any appropriate manner. For example, the processor can take the form of a microprocessor or processor and a computer readable medium storing computer readable program code (e.g. software or firmware) executable by the (micro)processor, logic gates, switches, Application Specific Integrated Circuit (ASIC), programmable logic controller, and embedded microcontroller, etc. The present specification is not limited in this regard.

[0174] In the embodiment, the memory 503 can include multiple levels, and in a digital system, as long as it can save binary data, it can be a memory; in an integrated circuit, a circuit without a physical form and with a storage function is also called a memory, such as RAM, FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, a TF card, etc.

[0175] The embodiment of the present specification also provides a computer readable storage medium based on the above method for determining the failure rate of a mechanical device of a nuclear power plant, and the computer readable storage medium stores computer program instructions. When the computer program instructions are executed, the following steps are implemented: obtaining the device type of a target mechanical device of a nuclear power plant and the current environmental characteristic parameter of the target mechanical device; determining a matched preset device failure rate model as a target device failure rate model from a preset device failure rate model library according to the device type of the target mechanical device; wherein the preset device failure rate model is obtained by using background information and test data according to a preset processing rule; obtaining current environmental influence factor data values matched with the target mechanical device according to the current environmental characteristic parameter; and processing the current environmental influence factor data values by using the target device failure rate model to determine the current failure rate of the target mechanical device.

[0176] In the embodiment, the storage medium includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk drive (HDD), or a memory card. The storage medium can be used to store computer program instructions. The network communication unit can be an interface configured according to a standard of a communication protocol, and used for network connection communication.

[0177] In the embodiment, the functions and effects of the program instructions stored in the computer-readable storage medium can be explained in comparison with other embodiments, and will not be described herein.

[0178] The embodiment of the present specification further provides a computer program product, which at least contains a computer program, and the computer program is executed by a processor to implement the following method steps: obtaining a device type of a target mechanical equipment of a nuclear power plant and a current environment characteristic parameter about the target mechanical equipment; determining a preset device failure rate model matched with the target mechanical equipment from a preset device failure rate model library as a target device failure rate model according to the device type of the target mechanical equipment, wherein the preset device failure rate model is obtained by using background data and test data according to a preset processing rule in advance; obtaining current environment influence factor data values matched with the target mechanical equipment according to the current environment characteristic parameter; and processing the current environment influence factor data values by using the target device failure rate model to determine a current failure rate of the target mechanical equipment.

[0179] Referring to Figure 6 The embodiment of the present specification further provides a device for determining a failure rate of a mechanical equipment of a nuclear power plant, which can specifically include the following structure modules:

[0180] The first obtaining module 601 can be specifically used for obtaining a device type of a target mechanical equipment of a nuclear power plant and a current environment characteristic parameter about the target mechanical equipment;

[0181] The first determining module 602 can be specifically used for determining a preset device failure rate model matched with the target mechanical equipment from a preset device failure rate model library as a target device failure rate model according to the device type of the target mechanical equipment, wherein the preset device failure rate model is obtained by using background data and test data according to a preset processing rule in advance;

[0182] The second obtaining module 603 can be specifically used for obtaining current environment influence factor data values matched with the target mechanical equipment according to the current environment characteristic parameter;

[0183] The second determining module 604 can be specifically configured to determine the current failure rate of the target mechanical equipment by processing the current environmental influence factor data value by using the target equipment failure rate model.

[0184] In some embodiments, after determining the current failure rate of the target mechanical equipment, the apparatus can be further configured to: determine the running state stage to which the target mechanical equipment currently belongs according to the current failure rate of the target mechanical equipment; wherein the running state stage includes: a normal running stage, a failure warning stage, and a safety measure stage; determine the target maintenance strategy matched from the preset device maintenance strategy set according to the running state stage to which the target mechanical equipment currently belongs; and perform the matched maintenance processing on the target mechanical equipment according to the target maintenance strategy.

[0185] In some embodiments, the apparatus can be further configured to construct the preset device failure rate model matched with the first mechanical equipment in the following manner: acquire the structure information, the use information, and the function information of the first mechanical equipment according to a preset processing rule; wherein the first mechanical equipment is a mechanical equipment applied in a nuclear power plant; disassemble the first mechanical equipment into a plurality of component units according to the structure information, the use information, and the function information of the first mechanical equipment; determine a plurality of candidate environmental factors according to the running environment of the nuclear power plant; filter out the environmental influence factors associated with the component units of the first mechanical equipment from the plurality of candidate environmental factors and determine the corresponding environmental influence multiplication factors by performing correlation analysis according to the background data and the test data; calculate the failure rates of the component units of the first mechanical equipment under a plurality of different environmental scenarios according to the environmental influence factors associated with the component units of the first mechanical equipment and the corresponding environmental influence multiplication factors, and determine the failure rates of the first mechanical equipment corresponding to the different environmental scenarios by using the test data; and perform data fitting by using the failure rates of the first mechanical equipment according to a preset fitting rule to obtain the preset device failure rate model matched with the first mechanical equipment.

[0186] In some embodiments, the environmental influence factors can at least include: a running temperature, an acting force, a radiation pollutant, and the like.

[0187] In some embodiments, the device, when implemented, can screen the environmental impact factors associated with the component unit of the first mechanical equipment from a plurality of candidate environmental factors according to background information and test data by performing correlation analysis in the following manner: a correlation matrix about the component unit and the candidate environmental factors is established according to the background information; a preset number of candidate environmental factors with high correlation are screened out as the environmental impact factors according to the correlation matrix; the influence degree range of each environmental impact factor is determined according to the test data; and the environmental impact multiplier corresponding to the environmental impact factor is determined according to the influence degree range of each environmental impact factor.

[0188] In some embodiments, the device, when implemented, can determine the failure rates of a plurality of first mechanical equipments corresponding to different environmental scenarios by calculating the failure rates of the component unit of the first mechanical equipment under a plurality of different environmental scenarios using test data according to the environmental impact factors associated with the component unit of the first mechanical equipment and the corresponding environmental impact multipliers in the following manner: the failure rate of the first mechanical equipment corresponding to the current environmental scenario is determined in the following manner: the data value of the environmental impact factor of the current environmental scenario is determined according to the test data; the failure mode of the component unit leading to the failure of the first mechanical equipment and the corresponding mapping relationship are determined according to the structure information, use information and function information of the first mechanical equipment; the failure rate of the component unit of the first mechanical equipment under the current environmental scenario is calculated according to the data value of the environmental impact factor of the current environmental scenario, the environmental impact multiplier and the corresponding mapping relationship; and the failure rate of the first mechanical equipment corresponding to the current environmental scenario is determined by combining the failure rates of the component unit of the first mechanical equipment under the current environmental scenario.

[0189] In some embodiments, the device, when implemented, can perform data fitting using the failure rates of a plurality of first mechanical equipments to obtain a preset equipment failure rate model matched with the first mechanical equipment according to a preset fitting rule in the following manner: the preset equipment failure rate model matched with the first mechanical equipment is obtained by performing data fitting based on a cumulative distribution function using the failure rates of a plurality of first mechanical equipments according to the preset fitting rule.

[0190] In some embodiments, the first mechanical equipment can specifically include a spring-loaded safety valve; and correspondingly, the environmental impact factors include operating temperature, fluid pressure, contact stress, fluid viscosity and radiation pollutants; and the component unit of the first mechanical equipment includes a poppet valve assembly, a seal, a spring, a solenoid and a valve body.

[0191] It should be noted that the units, devices or modules and the like illustrated in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. For the convenience of description, the above device is described as various modules with functions. Of course, in the implementation of the present specification, the functions of each module can be implemented in the same or more software and / or hardware, or the modules implementing the same function can be implemented by a combination of multiple sub-modules or sub-units. The above described device embodiments are only illustrative, for example, the division of the units is only a logical function division, and actual implementation can have another division method, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the coupling or direct coupling or communication connection between the displayed or discussed each other can be indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0192] As can be seen from the above, the device for determining the failure rate of mechanical equipment in a nuclear power plant provided in the embodiments of the present specification can efficiently and accurately determine the failure rate of mechanical equipment in different environmental scenarios in a nuclear power plant, effectively reduce errors, and maintain the operation safety of the nuclear power plant.

[0193] In a specific scenario example, the method for determining the failure rate of mechanical equipment in a nuclear power plant provided in the present specification can be applied to construct a failure rate fitting model (a preset device failure rate model) for a spring-loaded safety valve, and the model can be used to realize one-key analysis of the failure rate of the spring-loaded safety valve in a complex environment.

[0194] In the present scenario example, it is considered that the reliability of mechanical equipment often directly affects the economy and safety of a nuclear power plant. According to the official data of the World Nuclear Association (WNA), the equipment investment in the nuclear power industry chain accounts for 50%, and the number of mechanical equipment in the nuclear power plant system accounts for more than 60%. Taking a nuclear valve as an example, it accounts for about 5% of the construction cost of a nuclear power plant, but the maintenance cost of the nuclear valve accounts for more than 50% in the maintenance cost of all components. The safety of a nuclear power plant is a key problem of nuclear energy development, and the safety evaluation process needs the failure rate of mechanical equipment as an input.

[0195] However, the complex operation conditions of nuclear power plants result in that the equipment faces a variable operation environment, which makes the equipment face different working environments (for example, different environmental scenarios) in the operation process. Based on the existing safety evaluation method of nuclear power plants, constant overall equipment failure rate data are mostly used. However, the constant overall equipment failure rate cannot accurately reflect the performance of the equipment in the dynamic environment, and cannot clearly show the influence of environmental and load factors and use history on the failure rate. At the same time, the failure rate of the equipment as a whole is mainly concentrated in the failure mode at the equipment level, and cannot be accurately to the component level, which brings inconvenience to fault location and repair.

[0196] In view of the above problems, a new failure rate evaluation and prediction method is proposed, which can reflect the influence of environmental factors on the failure rate of mechanical equipment through the disassemble-screening-mapping-integrating-fitting (DSMCF) processing flow for failure rate evaluation and prediction of mechanical equipment in nuclear power plants.

[0197] Specifically, referring to FIG. 1, the above-mentioned DSMCF processing flow generally includes the following steps: Figure 17

[0198] S1: Disassemble, disassemble the mechanical equipment into components and identify the failure mode of the components (for example, disassemble the first mechanical equipment into a plurality of component units);

[0199] S2: Screen, screen the environmental influence factors of the failure rate of the mechanical equipment (for example, screen out the environmental influence factors associated with the component units of the first mechanical equipment from a plurality of candidate environmental factors);

[0200] S3: Map, map the environmental factors and the failure rate, and obtain the environmental influence factor multiplication factor of the specific failure mode through analysis (for example, determine the corresponding environmental influence multiplication factor);

[0201] S4: Comprehensive, integrate the failure rate of the components into the failure rate of the equipment, and calculate the failure rate of the corresponding failure mode (for example, calculate the failure rate of the component units of the first mechanical equipment under a plurality of different environmental scenarios according to the test data, and determine the failure rate of the first mechanical equipment corresponding to different environmental scenarios);

[0202] S5: Fit, fit the failure rate using a distribution function to obtain a failure rate variation curve varying with environmental characteristic parameters, and support one-key analysis of the equipment (for example, according to a preset fitting rule, data fitting is performed using the failure rates of a plurality of first mechanical equipments to obtain a preset equipment failure rate model matched with the first mechanical equipment).

[0203] ​In this scenario example, for step S1 disassembly, the mechanical parts can be disassembled precisely to the functional component level, a SolidWorks assembly drawing of the parts can be drawn, and the functions of the components can be analyzed to lay the foundation for subsequent failure mode analysis. In this scenario example, a spring-loaded safety valve is analyzed as an example. The safety valve is mainly composed of: a poppet valve assembly (for example, including: a bonnet, a valve stem, a valve disc, a valve seat surface), a seal (for example, a diaphragm seal), a spring, a solenoid, and a valve body, which can be referred to as shown in Figure 7 The poppet valve assembly and the solenoid are used for flow control, pressure control, and directional control valves. The seal and the valve body are used to prevent leakage inside and outside the valve. The spring is used to control the opening and closing of the valve.

[0204] Then, the failure modes of the spring-loaded safety valve can be analyzed. The failure modes of the spring-loaded safety valve can be determined according to the knowledge of the design characteristics of the valve and the expected operating environment. Generally, many valve assemblies are specially designed for specific applications, and those identified as critical failure modes or analysis results indicate that they can be combined with background information for research and analysis. The failure rate fitting model involved in this scenario example is obtained by correcting the corresponding environmental factor multiplier based on the determination of the failure mode and considering the specific equipment characteristics and the expected operating environment.

[0205] Finally, it is worth noting that the failure modes that remain for the safety valve function and the corresponding environmental factor multipliers are no longer included in the calculation, which is also a consideration of safety margin when evaluating safety margin. It is considered that the failure that does not affect the loss of function is included in the failure rate. Using this method, the occurrence probability of each failure mode can be estimated.

[0206] In addition, the safety valve described above is a sliding valve, and the main failure modes that should be considered include internal leakage or no opening caused by wire shaft (core shaft) wear or slow response or refusal to open caused by piston sticking. The main cause of the wire shaft wear or slow response of the poppet valve is the presence of contaminants.

[0207] The main failure mode of the valve seat surface is wear caused by the action of contaminants. Including pressurized liquids, the valve seat will be worn at the point where the sealing unit contacts the valve seat, which will locally affect the insufficient sealing and internal leakage. However, due to the correct valve seat material and the reduction of contaminants for the application, the failure rate of the valve caused by the valve seat wear should be minimized. The sealing unit can be a poppet valve, a baffle, or a ring, and the failure modes of the sealing unit include fatigue failure caused by repeated impact on the valve seat, which causes sudden changes in the pressure difference between the two sides of the valve, and corrosion caused by contaminants.

[0208] Further, after evaluating the reliability of the valve basic components, the dynamics of the valve must be considered. In addition, the spring is one of the most critical components for estimating the failure rate of the valve. For example, the poor dynamic response caused by the misalignment of the spring is a potential failure mode that needs to be considered. The differential pressure, operating temperature, viscosity, and utilization are all variables that affect the failure rate of the valve. Therefore, the wear failure rate caused by contaminants is estimated by the surface roughness of the poppet valve, the allowable leakage amount, and the contamination factor considering the flow rate; the failure rates of the valve seal, the return spring, and the solenoid driver are determined respectively.

[0209] In implementation, for the screening of step S2, the environmental influence factors of the mechanical equipment failure rate can be screened in combination with the nuclear power plant equipment reliability data (background information) provided by the Mechanical Equipment Reliability Prediction Manual, the Nuclear Safety Agency, and the IAEA. The Mechanical Equipment Reliability Prediction Manual provides material properties, operating environments, and key failure mode data at the component level, which can be compared and verified by reliability prediction and reliability test results, and has universal representativeness and applicability. In addition, the nuclear power general database provided by the Nuclear Safety Agency and the IAEA is a database commonly used in the safety analysis of nuclear power plants at present, which can be compared and verified with the reliability data obtained by using the method provided in the present application.

[0210] Specifically, in order to screen out the environmental influence factors that have the greatest impact on the typical mechanical parts of the nuclear power plant, the multiplication factors of the environmental factors of the mechanical parts in the Mechanical Equipment Reliability Prediction Manual can be counted, the percentage of the number of occurrences of each environmental influence factor is calculated, and the environmental factors with the most occurrences (top 1 / 3) are screened out as the focus.

[0211] In specific screening, the parts and the environmental factors that have an impact on them can be taken as the horizontal and vertical axes respectively to establish a correlation matrix. First, the multiplication factors of the environmental factors of the mechanical parts recorded in the background information such as the Mechanical Equipment Reliability Prediction Manual are counted to form the horizontal coordinates of the matrix, and then the influence ability distribution of the environmental factors on the machine parts is counted using a correlation statistical method, with a black box “1” representing that the corresponding environmental influence factor of the mechanical part occurs once, and a gray box representing that the mechanical equipment and the corresponding mechanical equipment have no correlation. The statistical results of the corresponding environmental influence factors of the mechanical parts can be referred to as shown in FIG. 1. Then the percentage of the number of occurrences of each environmental influence factor is counted, as shown in FIG. 2. The percentage in the brackets represents the percentage, and the number of occurrences outside the brackets represents the number of occurrences. In this scene example, environmental factors with a percentage less than 2% are not labeled. Figure 8 Figure 9

[0212] ​​Based on the above statistical results, a total of 19 typical parts were analyzed, with 21 environmental factor multiplication factors appearing a total of 53 times. The frequency of occurrence of environmental factor multiplication factors was as follows: temperature > pollutant-related > pressure (stress) > fluid viscosity = voltage and current = lubricant = speed. Among these, environmental impact factors were mainly selected based on their significant impact on mechanical equipment and high correlation. According to the statistical results, this case ultimately selected seven environmental impact factors: temperature, pollutant-related, pressure (stress), fluid viscosity, voltage and current, lubricant, and speed. Table 1 then summarizes the statistics, showing the statistics of the most frequently occurring environmental factors.

[0213] Table 1

[0214]

[0215]

[0216] Next, the numerical ranges of the top five multiplication factors in terms of the frequency of occurrence of environmental impact factors can be statistically analyzed. The statistical results can be found in Table 2.

[0217] Table 2

[0218]

[0219] Based on this table, analysis shows that the degree of influence of environmental factors on the reliability of the equipment in this case study is as follows:

[0220] Operating temperature > fluid viscosity > contact stress > fluid pressure ≈ operating speed.

[0221] In this scenario example, for ease of explanation and simplification, the environmental factor ranked first (operating temperature) is taken as the feature parameter (environmental influencing factor), and subsequent mapping work is carried out based on this feature parameter.

[0222] For step S3 mapping, firstly, based on the DSMCF processing flow, a flowchart for evaluating the failure rate of mechanical equipment can be provided. Taking a spring-loaded valve as an example, the relevant failure rate evaluation processing flow can be found in [reference needed]. Figure 10 As shown, as a safety margin consideration during evaluation, failures that do not affect functional loss are also included in the failure rate. In this scenario example, failure modes that do not affect the safety valve's functionality and their corresponding environmental factor multiplication factors are not included. Based on Figure 10 The process shown can determine the required mapping relationship.

[0223] For step S4 integration, this step integrates the component failure rate into the equipment failure rate and calculates the failure rate of the corresponding failure mode; taking a spring-loaded safety valve as an example, the formula for valve failure rate is used to solve the problem and obtain the order of magnitude of the probability of the corresponding failure mode.

[0224] λ VA = λ PO + λ SE + λ SP + λ SO + λ HO

[0225] λ PO = λ PO，B · C P · C N · C S

[0226] λ SE = λ SE,B · C P · C v · C T · C N

[0227] λ SP = λ SP,B · C R

[0228] λ SO = λ SO,B · C T · C K

[0229] λ HO = λ HO,B

[0230] where λ VA is the failure rate of the spring loaded safety valve, λ PO is the failure rate of the poppet assembly, λ SE is the failure rate of the seal, λ SP is the failure rate of the spring, λ SO is the failure rate of the solenoid, λ HO is the failure rate of the valve body, λ PO，B is the base failure rate of the poppet assembly (e.g., 1.4 failures per million runs), λ SE，B is the base failure rate of the seal (e.g., 2.4 failures per million runs), λ SP，B is the base failure rate of the spring (e.g., 23.8 failures per million runs), λ SO，B is the base failure rate of the solenoid (e.g., 2.77 failures per million runs), λ HO，B is the base failure rate of the valve body (e.g., 0.01 failures per million runs), C P is a fluid pressure multiplication factor, C v is a fluid viscosity multiplication factor, C N is a radiation contaminant multiplication factor.S is a contact stress multiplication factor, C T is an operating temperature multiplication factor, C R is a corrosive environment multiplication factor, C K is an applicability multiplication factor.

[0231] It should be noted that the above basic failure rate can be obtained according to the background material “Mechanical Equipment Reliability Prediction Manual”. The multiplication factors ignored in the above formula have a small influence, and the actual calculation will also include the above influence.

[0232] Finally, the failure rate of the specific component and the corresponding failure mode can be obtained. For details, refer to Table 3.

[0233] Table 3

[0234]

[0235] Based on the DSMCF processing flow, the failure rate of different components under a specific failure mode can be obtained according to the above failure rate formula. The value of the failure rate is recorded in the last column of Table 3.

[0236] Then, Table 3 and the failure rate statistics table (Table 4) given by the Nuclear Safety Bureau and IAEA in the general database of nuclear power can be compared. The failure probability is in the same order of magnitude, but the general database of nuclear power given by the Nuclear Safety Bureau does not give the specific failure mode of the specific component. In the present scenario example, the failure rate of the specific component and the corresponding failure mode can be obtained based on the DSMCF processing flow, which can be more conducive to finding out the failure cause in time and shortening the failure positioning time, and is a supplement and improvement to the general database.

[0237] Table 4

[0238]

[0239] For step S5 fitting, this step uses a distribution function to fit the failure rate to obtain a failure rate curve varying with the environmental characteristic parameter, supporting one-key analysis of the equipment.

[0240] In the present scenario example, Gamma CDF (Cumulative Distribution Function) can be used for mechanical equipment failure rate fitting. After research, compared with other functions, Gamma CDF is more suitable for fitting the failure rate curve of mechanical equipment. The specific expression of Gamma CDF function is:

[0241]

[0242] Wherein, y represents the cumulative failure rate of the first mechanical device; x is a pending probability value; y0 is the initial value of the CDF, usually 0, because when x approaches 0, the cumulative probability also tends to 0; A1 is the maximum change of the CDF, usually 1, which indicates that when the random variable changes in its possible range, the CDF changes from 0 to 1; a is the shape parameter, also known as alpha, which affects the shape of the distribution; b is the scale parameter, also known as beta, which affects the width and position of the distribution; τ(a) is the Gamma function, which is equal to (a-1)! when a is a positive integer.

[0243] For simplicity of explanation, only one parameter, temperature, is considered here. In actual implementation, the failure rates of different components and the total valve can be fitted using the Gamma CDF function to form a fitting curve and obtain the corresponding function that changes with the temperature parameter, supporting one-key analysis of device failure rates when the key sensitive environmental factors change.

[0244] The failure rate of components (solenoid and seal) affected by the key sensitive environmental factor - temperature is corrected, the temperature is changed from 80℃ to 500℃, the value of the temperature multiplication factor changes accordingly, and then the correction factor is integrated into the device according to the components to directly correct the failure rate of the device; finally, the failure rates of different components and the total valve are fitted to form a fitting curve, which can be referred to in Figure 11 (Fitting curve of valve and component failure rate with temperature change) and Figure 12 (Partial enlarged view of 0-500℃ parts), to obtain the corresponding function that changes with the temperature parameter, supporting one-key analysis of the device. In this patent, the temperature parameter is defined as a characteristic parameter, and the same characteristic parameter is used for different components of the same device, and the characteristic parameters of different devices are obtained by the aforementioned key sensitive environmental factor determination method.

[0245] Further, referring to Figure 13 , the overall failure rate of the spring-loaded safety valve increases with the increase of temperature, and will sharply increase at 446℃.

[0246] In addition, referring to Figure 14The seal and solenoid, as temperature-affected components, can be analyzed separately. Specifically, spring-loaded safety valves are essential components in numerous industrial applications that are subjected to pressure, and their failure sensitivity is mainly reflected in the seal and solenoid. These two elements are generally considered to be the most common failure points, which can compromise the reliability and effectiveness of the valve. Nevertheless, it is worth noting that the poppet valve assembly, spring, and valve body generally maintain stable performance under varying temperature environmental conditions, having little impact on the overall failure rate of the valve system. However, with significant changes in environmental factors, especially temperature, the situation can change dramatically. When the environmental temperature approaches approximately 450°C, the failure rate of these components will significantly increase. This part is determined by the rapid failure temperature point of the total valve (device), and this temperature threshold is a critical point, beyond which the material performance and operational integrity of the valve components will be compromised, leading to a substantial increase in the likelihood of failure or complete failure. This phenomenon highlights the importance of considering thermal effects when evaluating the durability and reliability of spring-loaded safety valves in high-temperature applications.

[0247] In addition, the device failure rate period (e.g., operating state phase) can also be analyzed according to the analysis, which can be referred to in Figure 15 to provide a reference for further maintenance spare parts.

[0248] The normal operating phase is characterized by the device being in a stable state and is expected to operate within its design parameter range. Maintenance during this phase is routine and preventive, with a temperature range from 80°C to 435°C. Transition to the failure warning phase, with a temperature range from 435°C to 446°C, indicates that the device may begin to exhibit early signs of pressure or potential failure. The maintenance strategy at this time may involve closer monitoring and preparation for potential intervention. In the safety measures phase, with a temperature range from 446°C to 463°C, safety protocols are more understood and implemented. Maintenance work may be more frequent and intensive to prevent impending failure. Finally, the rapid failure phase from 463°C to 500°C indicates a critical point where the device is highly susceptible to rapid and catastrophic failure. In this phase, decisive maintenance measures must be taken immediately, and having spare parts on hand is crucial for minimizing downtime and operational disruption.

[0249] Finally, referring to Figure 16 , based on the results of the Gamma CDF function fitting (which can be referred to in Table 5), the original failure curve and the fitted curve are very close, and the fitting effect is very good, with an R-square close to 1.

[0250] Table 5

[0251]

[0252]

[0253] In this way, an analysis framework can be constructed by focusing on a single characteristic parameter (e.g., operating temperature) to predict the failure rate of the device and implement early warning, thereby providing technical support for device maintenance and locating the faulty component. This method realizes the influence of a single characteristic parameter on the stability of the device performance, facilitates engineering testing and tracking, and allows effective intervention measures to be taken before failure occurs.

[0254] Through the above scenario examples, it is verified that the method for determining the failure rate of mechanical equipment in a nuclear power plant provided in the specification can indeed efficiently and accurately determine the failure rate of mechanical equipment in different environmental scenarios in a nuclear power plant, effectively reducing errors, and maintaining the safe operation of the nuclear power plant.

[0255] Although the specification provides method operation steps as described in the embodiments or flowcharts, more or fewer operation steps can be included based on conventional or non-inventive means. The order of steps listed in the embodiments is only one of the many possible execution orders, and does not represent the only execution order. When the device or client product is executed in practice, the method order shown in the embodiments or the drawings can be executed in sequence or in parallel (for example, in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment). The terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, product or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed or inherent to such a process, method, product or device. Without more limitations, it does not exclude the presence of other identical or equivalent elements in the process, method, product or device that includes the described elements. The terms "first", "second" and the like are used to denote names, not any particular order.

[0256] Those skilled in the art will also know that, in addition to implementing the controller in the form of pure computer-readable program code, the controller can also be implemented to perform the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers and embedded microcontrollers by logically programming the method steps. Therefore, such a controller can be considered as a hardware component, and the means included therein for implementing various functions can also be considered as structures within the hardware component. Alternatively, the means for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0257] The specification can be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc., that perform particular tasks or implement particular abstract data types. The specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote computer-readable storage media including memory storage devices.

[0258] From the above description of the embodiments, those skilled in the art can clearly understand that the specification can be implemented by means of software plus necessary universal hardware platforms. Based on such an understanding, the technical solutions of the specification can essentially be embodied in a form of software product. The computer software product can be stored in a storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to cause a computer device (which can be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the methods described in each of the embodiments or some parts of the embodiments.

[0259] The embodiments in the specification are described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each of the embodiments mainly describes the differences from other embodiments. The specification can be used in many general or specific 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.

[0260] Although the specification is described through the embodiments, those skilled in the art know that the specification has many modifications and changes without departing from the spirit of the specification, and it is expected that the appended claims include these modifications and changes without departing from the spirit of the specification.

Claims

1. A method of determining a failure rate of mechanical equipment of a nuclear power plant, characterized by, The method comprises: obtaining a device type of a target mechanical device of a nuclear power plant, and a current environmental characteristic parameter about the target mechanical device; determining a preset device failure rate model matched with the target mechanical device as a target device failure rate model from a preset device failure rate model library according to the device type of the target mechanical device, wherein the preset device failure rate model is obtained by using background data and test data according to a preset processing rule in advance; obtaining current environmental influence factor data values matched with the target mechanical device according to the current environmental characteristic parameter; processing the current environmental influence factor data values by using the target device failure rate model to determine a current failure rate of the target mechanical device; The method further comprises: constructing a preset device failure rate model matched with a first mechanical device in the following manner: obtaining structure information, use information and function information of the first mechanical device according to a preset processing rule, wherein the first mechanical device is a mechanical device applied to a nuclear power plant; disassembling the first mechanical device into a plurality of component units according to the structure information, the use information and the function information of the first mechanical device; determining a plurality of candidate environmental factors according to an operating environment of the nuclear power plant; screening environmental influence factors associated with the component units of the first mechanical device from the plurality of candidate environmental factors and determining corresponding environmental influence multiplication factors by performing correlation analysis according to the background data and the test data; calculating and determining a plurality of failure rates of the first mechanical device corresponding to different environmental scenarios according to the failure rates of the component units of the first mechanical device under the plurality of different environmental scenarios by using the test data according to the environmental influence factors associated with the component units of the first mechanical device and the corresponding environmental influence multiplication factors; and performing data fitting by using the plurality of failure rates of the first mechanical device according to a preset fitting rule to obtain the preset device failure rate model matched with the first mechanical device. The method further comprises: determining the failure rate of the first mechanical device corresponding to a current environmental scenario in the following manner: determining a data value of an environmental influence factor of the current environmental scenario according to the test data; determining a failure mode of a component unit causing failure of the first mechanical device and a corresponding mapping relationship according to the structure information, the use information and the function information of the first mechanical device; calculating a failure rate of the component unit of the first mechanical device under the current environmental scenario according to the data value of the environmental influence factor of the current environmental scenario, the environmental influence multiplication factor and the corresponding mapping relationship; and determining the failure rate of the first mechanical device corresponding to the current environmental scenario by combining the failure rates of the component units of the first mechanical device under the current environmental scenario.

2. The method of claim 1, wherein, After determining the current failure rate of the target mechanical device, the method further comprises: According to the current failure rate of the target mechanical equipment, a running state stage to which the target mechanical equipment currently belongs is determined, wherein the running state stage comprises a normal running stage, a failure warning stage and a safety measure stage; According to the running state stage to which the target mechanical equipment currently belongs, a target maintenance strategy matched from a preset device maintenance strategy set is determined; According to the target maintenance strategy, a matched maintenance treatment is performed on the target mechanical equipment.

3. The method of claim 1, wherein, The environmental influence factors at least include a running temperature, an acting force and a radiation pollutant.

4. The method of claim 1, wherein, According to background information and test data, through correlation analysis, environmental influence factors associated with the component unit of the first mechanical equipment are screened from a plurality of candidate environmental factors, and corresponding environmental influence multiplication factors are determined, comprising: According to the background information, a correlation matrix about the component unit and the candidate environmental factors is established; According to the correlation matrix, a preset number of candidate environmental factors with high correlation are screened as the environmental influence factors; According to the test data, an influence degree range of each environmental influence factor is determined; According to the influence degree range of each environmental influence factor, an environmental influence multiplication factor corresponding to the environmental influence factor is determined.

5. The method of claim 1, wherein, According to a preset fitting rule, data fitting is performed on the failure rates of a plurality of first mechanical equipments to obtain a preset device failure rate model matched with the first mechanical equipment, comprising: According to a preset fitting rule, data fitting is performed on the failure rates of a plurality of first mechanical equipments based on a cumulative distribution function to obtain a preset device failure rate model matched with the first mechanical equipment.

6. The method of claim 1, wherein, The first mechanical equipment comprises a spring-loaded safety valve. Correspondingly, the environmental influence factors include a running temperature, a fluid pressure, a contact stress, a fluid viscosity and a radiation pollutant. The component unit of the first mechanical equipment comprises a poppet valve assembly, a seal, a spring, a solenoid and a valve body.

7. A device for determining the failure rate of mechanical equipment in a nuclear power plant, characterized in that, Comprising: The first acquisition module is configured to acquire a device type of a target mechanical equipment of a nuclear power plant and current environmental characteristic parameters of the target mechanical equipment; The first determination module is configured to determine a preset device failure rate model matched as a target device failure rate model from a preset device failure rate model library according to the device type of the target mechanical equipment, wherein the preset device failure rate model is constructed according to a preset processing rule by using background information and test data in advance; The second acquisition module is configured to acquire current environmental influence factor data values matched with the target mechanical equipment according to the current environmental characteristic parameters; The second determination module is configured to determine a current failure rate of the target mechanical equipment by processing the current environmental influence factor data values by using the target device failure rate model. The device is also constructed in the following manner to match the preset device failure rate model of the first mechanical equipment: according to a preset processing rule, obtaining structure information, use information and function information of the first mechanical equipment; wherein the first mechanical equipment is a mechanical equipment applied in a nuclear power plant; according to the structure information, use information and function information of the first mechanical equipment, the first mechanical equipment is disassembled into a plurality of component units; according to the operation environment of the nuclear power plant, a plurality of candidate environmental factors are determined; according to background information and test data, through correlation analysis, environmental influence factors associated with the component units of the first mechanical equipment are screened from the plurality of candidate environmental factors, and corresponding environmental influence multiplication factors are determined; according to the environmental influence factors associated with the component units of the first mechanical equipment and the corresponding environmental influence multiplication factors, the test data are used to calculate and determine the failure rates of the plurality of first mechanical equipments corresponding to different environmental scenarios according to the failure rates of the component units of the first mechanical equipment under a plurality of different environmental scenarios; according to a preset fitting rule, the failure rates of the plurality of first mechanical equipments are used for data fitting to obtain the preset device failure rate model matched with the first mechanical equipment. According to the environmental influence factors associated with the component units of the first mechanical equipment and the corresponding environmental influence multiplication factors, the test data are used to calculate and determine the failure rates of the plurality of first mechanical equipments corresponding to different environmental scenarios according to the failure rates of the component units of the first mechanical equipment under a plurality of different environmental scenarios, including: in the following manner, the failure rate of the first mechanical equipment corresponding to the current environmental scenario is determined: according to the test data, the data value of the environmental influence factor of the current environmental scenario is determined; according to the structure information, use information and function information of the first mechanical equipment, the failure mode of the component unit causing the failure of the first mechanical equipment is determined, and the corresponding mapping relationship is determined; according to the data value of the environmental influence factor of the current environmental scenario, the environmental influence multiplication factor and the corresponding mapping relationship, the failure rate of the component unit of the first mechanical equipment under the current environmental scenario is calculated; the failure rates of the component units of the first mechanical equipment under the current environmental scenario are combined to determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario.

8. A computer-readable storage medium, characterized in that, A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the method of any one of claims 1 to 6.

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