Method and device for determining failure rate of nuclear power station mechanical equipment

Abstract

The invention provides a method and a device for determining the failure rate of nuclear power station mechanical equipment, which can be applied to the technical field of safety maintenance of nuclear power station equipment. In specific implementation, the equipment type of target mechanical equipment of the nuclear power station and current environment characteristic parameters related to the target mechanical equipment can be firstly obtained; according to the equipment type of the target mechanical equipment, determining a matched preset equipment fault rate model from a preset equipment fault rate model library as a target equipment fault rate model; meanwhile, according to the current environment characteristic parameters, current environment influence factor data values matched with the target mechanical equipment are obtained; and processing the current environmental influence factor data value by using the target equipment fault rate model, and determining the current fault rate of the target mechanical equipment. Therefore, the specific failure rate of the mechanical equipment in the nuclear power station in different environment scenes can be efficiently and accurately determined, errors are effectively reduced, and the operation safety of the nuclear power station is ensured.

Description

Technical Field

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

[0002] During the safety maintenance of nuclear power plant equipment, it is often necessary to evaluate the failure rate of related mechanical equipment in the nuclear power plant in order to assess the safety of the overall operation of the nuclear power plant.

[0003] However, the complex operating conditions of nuclear power plants often cause related mechanical equipment to be in a changeable and complex environment. Based on existing methods, when evaluating the failure rate of related mechanical equipment, it is often impossible to accurately reflect the performance changes of mechanical equipment in the dynamic and changing environmental scenarios in which they are located, and there are large errors, which in turn affects the safe maintenance of nuclear power plants.

[0004] Currently, no effective solution has been proposed to the above problems. Summary of the invention

[0005] The present application provides a method and device for determining the failure rate of mechanical equipment in a nuclear power plant. By constructing and introducing an equipment failure rate model that takes into account 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 environmental scenarios can be determined efficiently and accurately, thereby effectively reducing errors.

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

[0007] Acquire the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment;

[0008] According to the equipment type of the target mechanical equipment, a matching preset equipment failure rate model is determined from a preset equipment failure rate model library as the target equipment failure rate model; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data;

[0009] According to the current environmental characteristic parameters, obtain the current environmental influencing factor data value matching the target mechanical equipment;

[0010] The target equipment failure rate model is used to process the current environmental influencing factor data values ​​to determine the current failure rate of the target mechanical equipment.

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

[0012] According to the current failure rate of the target mechanical equipment, determine the current operation state stage of the target mechanical equipment; wherein the operation state stage includes: normal operation stage, failure warning stage, and safety measures stage;

[0013] According to the current operation state stage of the target mechanical equipment, a matching target maintenance strategy is determined from the preset equipment maintenance strategy set;

[0014] According to the target maintenance strategy, the target mechanical equipment is subjected to matching maintenance treatment.

[0015] In one embodiment, the method further includes: constructing a preset equipment failure rate model matching the first mechanical equipment in the following manner:

[0016] According to a preset processing rule, structural information, usage information, and functional information of a first mechanical device are obtained; wherein the first mechanical device is a mechanical device used in a nuclear power plant;

[0017] Disassembling the first mechanical equipment into a plurality of component units according to the structural information, usage information, and function information of the first mechanical equipment;

[0018] According to the operating environment of the nuclear power plant, multiple candidate environmental factors are identified;

[0019] Based on the background information and the test data, by performing correlation analysis, the environmental impact factors associated with the component unit of the first mechanical equipment are screened out from a plurality of candidate environmental factors, and the corresponding environmental impact multiplication factors are determined;

[0020] According to the environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors, the failure rates of the component units of the first mechanical equipment in the different environmental scenarios are calculated using the test data to determine the failure rates of the first mechanical equipment corresponding to the different environmental scenarios;

[0021] According to a preset fitting rule, data fitting is performed using the failure rates of a plurality of first mechanical devices to obtain a preset device failure rate model that matches the first mechanical device.

[0022] In one embodiment, the environmental influencing factors include at least: operating temperature, force, and radiation pollutants.

[0023] In one embodiment, based on the background information and the test data, by performing correlation analysis, the environmental impact factors associated with the component unit of the first mechanical equipment are screened out from multiple candidate environmental factors, and the corresponding environmental impact multiplication factors are determined, including:

[0024] According to the background information, establish the correlation matrix between component units and candidate environmental factors;

[0025] According to the correlation matrix, a preset number of candidate environmental factors with the highest correlation are selected as environmental influencing factors;

[0026] According to the test data, determine the impact range of each environmental factor;

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

[0028] In one embodiment, according to the environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors, the failure rates of the component units of the first mechanical equipment in different environmental scenarios are calculated using test data and determined according to the failure rates of the component units of the first mechanical equipment in different environmental scenarios, 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, determine the data values ​​of the environmental influencing factors of the current environmental scenario;

[0031] Determine, based on the structure information, usage information, and function information of the first mechanical equipment, a failure mode of a component unit causing failure of the first mechanical equipment, and a mapping relationship corresponding to the failure mode;

[0032] Calculate the failure rate of the component unit of the first mechanical equipment in the current environmental scenario according to the data value of the environmental impact factor of the current environmental scenario, the environmental impact multiplication factor and the corresponding mapping relationship;

[0033] The failure rates of the component units of the first mechanical equipment in the current environmental scenario are used in combination to determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario.

[0034] In one embodiment, according to a preset fitting rule, data fitting is performed using the failure rates of a plurality of first mechanical devices to obtain a preset device failure rate model that matches the first mechanical device, including:

[0035] According to a preset fitting rule, the failure rates of a plurality of first mechanical devices are utilized, and data fitting is performed based on a cumulative distribution function to obtain a preset device failure rate model that matches the first mechanical device.

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

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

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

[0039] The present application also provides a device for determining the failure rate of mechanical equipment in a nuclear power plant, comprising:

[0040] A first acquisition module is used to acquire the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment;

[0041] The first determination module is used to determine a matching preset equipment failure rate model from a preset equipment failure rate model library as a target equipment failure rate model according to the equipment type of the target mechanical equipment; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data;

[0042] The second acquisition module is used to acquire the current environmental influencing factor data value matching the target mechanical equipment according to the current environmental characteristic parameters;

[0043] The second determination module is used to process the current environmental influencing factor data value using the target equipment failure rate model to determine the current failure rate of the target mechanical equipment.

[0044] The present application also provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the relevant steps of the method for determining the failure rate of mechanical equipment in a nuclear power plant.

[0045] Based on the method and device for determining the failure rate of mechanical equipment in a nuclear power plant provided by the application, before specific implementation, it is possible to first combine the specific environmental factors of the nuclear power plant and the specific characteristics of each component unit of the mechanical equipment to construct multiple preset equipment failure rate models corresponding to different types of mechanical equipment in the nuclear power plant, which can accurately reflect the performance changes of the mechanical equipment in the dynamic and changeable environmental scenarios in which it is located, and have high accuracy and good effect. During specific implementation, the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment can be obtained first; then, according to the equipment type of the target mechanical equipment, a matching preset equipment failure rate model is determined from the preset equipment failure rate model library as the target equipment failure rate model; at the same time, according to the current environmental characteristic parameters, the current environmental influencing factor data value matching the target mechanical equipment is obtained; and then the target equipment failure rate model is used to process the current environmental influencing factor data value to determine the current failure rate of the target mechanical equipment. In this way, the specific failure rate of mechanical equipment in the nuclear power plant in different environmental scenarios can be determined efficiently and accurately, effectively reducing errors, and thus better maintaining the operation safety of the nuclear power plant. Furthermore, the target equipment failure rate model can be used to accurately determine the specific failure rates of different failure modes of each component unit of the mechanical equipment under the current environmental scenario, so that the safety maintenance of the target mechanical equipment of the nuclear power plant can be carried out more effectively and targeted, and relatively better maintenance results can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of this specification, the drawings required for use in the embodiments will be briefly introduced below. The drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

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

[0048] Figure 2 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0049] Figure 3 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0050] Figure 4 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0051] Figure 5 is a schematic diagram of the structure of an electronic device provided by an embodiment of this specification;

[0052] Figure 6 It is a schematic diagram of the structure of a device for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification;

[0053] Figure 7 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0054] Figure 8 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0055] Fig. 9 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0056] Fig.10 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0057] Fig.11 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0058] Fig.12 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0059] Fig.13 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0060] Fig.14 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0061] Fig.15 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0062] Fig.16It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example;

[0063] Fig.17 It is a schematic diagram of an embodiment of a method for determining the failure rate of mechanical equipment in a nuclear power plant provided by an embodiment of this specification, in a scenario example. DETAILED DESCRIPTION

[0064] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0065] It should be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0066] Considering that most of the existing methods for determining equipment failure rates do not take into account the changing environmental scenarios faced by nuclear power plants (for example, extremely high temperature, high pressure, and high radiation environmental scenarios), they often use constant overall equipment failure rate data for evaluation, which cannot accurately reflect the performance changes of the equipment in the dynamic and changing environmental scenarios, thereby affecting the subsequent safety assessment and maintenance of nuclear power plants.

[0067] In response to the root causes of the above problems, the applicant considers: First, the various environmental factors existing in the operating environment of the nuclear power plant can be carefully sorted out; at the same time, according to the specific characteristics of the nuclear power plant mechanical equipment (for example, structural characteristics, usage characteristics, functional characteristics), the overall mechanical equipment can be disassembled into multiple fine-grained component units; then, focus on the specific operating characteristics of the component units, and further screen out the environmental factors that have a more significant impact on the failure of the mechanical equipment from the environmental factors sorted out before; then, combined with the failure mode of the component units of the mechanical equipment, the 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 combined to obtain the failure rate of the mechanical equipment as a whole.

[0068] Furthermore, the failure rate of mechanical equipment in various environmental scenarios of nuclear power plants can be determined through experimental tests as described above; and then the failure rate of mechanical equipment in various environmental scenarios can be used to establish a preset equipment failure rate model for this type of mechanical equipment through data fitting. In this way, when the failure rate of this type of mechanical equipment in nuclear power plants needs to be used in other environmental scenarios, the preset equipment failure rate model can be directly used to efficiently determine the equipment failure rate with high accuracy and good effect.

[0069] Based on the above ideas, see Figure 1 As shown, the embodiment of this specification provides a method for determining the failure rate of mechanical equipment in a nuclear power plant. In specific implementation, the method may include the following contents:

[0070] S101: Acquire the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment;

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

[0072] S103: acquiring a current environmental influencing factor data value matching the target mechanical equipment according to the current environmental characteristic parameters;

[0073] S104: Using the target equipment failure rate model to process the current environmental influencing factor data value, determine the current failure rate of the target mechanical equipment.

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

[0075] Specifically, the target mechanical equipment may include: a spring-loaded safety valve, a sliding valve, a gear pump, a plunger pump, an impeller pump, a fluid driver, a hose, and the like.

[0076] Of course, it should be noted that the target mechanical equipment listed above is only a schematic illustration. In specific implementation, according to specific circumstances and processing requirements, the method for determining the failure rate of nuclear power plant mechanical equipment provided in this specification can also be used to determine the failure rate of other types of mechanical equipment in the nuclear power plant. This specification does not limit this.

[0077] The following mainly takes the spring-loaded safety valve as an example for specific description. For other types of mechanical equipment in nuclear power plants, reference can be made to the embodiments of the spring-loaded safety valve. This specification does not elaborate on them.

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

[0079] The above-mentioned preset equipment failure rate model can be specifically understood as an algorithm model that takes into account the environmental influencing factors in the nuclear power plant operating environment and the specific characteristics of the corresponding mechanical equipment components, and can accurately and quickly determine the failure rate of the mechanical equipment in a specific environmental scenario. The construction method of the preset equipment failure rate model will be described in detail later.

[0080] The above failure rate, also known as failure rate, specifically refers to the probability of a device failing or malfunctioning within a unit of time.

[0081] The above-mentioned current environmental characteristic parameters of the target mechanical equipment may specifically include: the local temperature of the area where the target mechanical equipment is currently located, the force currently acting on the target mechanical equipment (for example, fluid pressure, contact stress, friction, etc.), the radiation conditions of the area where the target mechanical equipment is currently located (for example, radiation pollutants, radiation intensity, degree of corrosion caused by radiation, etc.), etc.

[0082] The above-mentioned environmental influencing factors can be specifically understood as environmental factors in the operating environment of a nuclear power plant that will have a significant impact on the failure of target mechanical equipment.

[0083] The above-mentioned background information may specifically include the failure rate of nuclear power plant mechanical equipment previously determined based on the constant mode, and the determination criteria of the relevant failure rate.

[0084] Specifically, the above-mentioned background information may be a nuclear power plant equipment reliability data analysis document provided by a relevant nuclear safety regulatory agency, for example, the Mechanical Equipment Reliability Prediction Manual.

[0085] In specific implementation, the environmental influencing factors suitable for calculating the failure rate of the target mechanical equipment can be determined based on the environmental influencing factor template that matches the equipment type of the target mechanical equipment; and then the corresponding current environmental influencing factor data values ​​can be extracted or calculated based on the current environmental characteristic parameters of the target mechanical equipment.

[0086] In specific implementation, the target equipment failure rate model can be used to process the current environmental influencing factor data value to obtain the corresponding target processing result; based on the target processing result, the current failure rate of the target mechanical equipment is determined.

[0087] Based on the above embodiments, by introducing and using a pre-built matching target equipment failure rate model, it is possible to fully consider the impact of environmental factors on the performance of target mechanical equipment under different environmental scenarios of nuclear power plants, and efficiently determine the failure rate of the target mechanical equipment with higher accuracy and lower error.

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

[0089] S1: According to the current failure rate of the target mechanical equipment, determine the current operation state stage of the target mechanical equipment; wherein the operation state stage includes: normal operation stage, failure warning stage, and safety measures stage;

[0090] S2: According to the current operation state stage of the target mechanical equipment, a matching target maintenance strategy is determined from a preset equipment maintenance strategy set;

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

[0092] Specifically, the operating status of nuclear power plant mechanical equipment can be divided into four different stages based on background information and historical maintenance data of nuclear power plants, namely: normal operation stage, fault warning stage, safety measures stage, and rapid failure stage. Among them, the severity of faults in the fault warning stage is higher than that in the normal operation stage, the severity of faults in the safety measures stage is higher than that in the fault warning stage, and the severity of rapid failure stage is higher than that in the safety measures stage.

[0093] In specific implementation, based on the current failure rate of the target mechanical equipment, when it is determined that the current failure rate is less than the first failure rate reference threshold, the current operating status stage can be determined to be the normal operating 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 the second failure rate reference threshold, the current operating status stage can be determined to be the fault 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 the third failure rate reference threshold, the current operating status stage can be determined to be the safety measures stage; when it is determined that the current failure rate is greater than or equal to the third failure rate reference threshold, the current operating status stage can be determined to be the rapid failure stage.

[0094] Among them, the above-mentioned first failure rate reference threshold, second failure rate reference threshold, and third failure rate reference threshold can be determined based on historical maintenance data of the nuclear power plant and test data of related experiments.

[0095] During specific implementation, a preset equipment maintenance strategy set may be queried to determine a preset maintenance strategy that matches the current operating state stage of the target mechanical equipment as the target maintenance strategy.

[0096] The preset equipment maintenance strategy set includes a plurality of preset equipment maintenance strategies, and each preset equipment maintenance strategy corresponds to an operation status stage.

[0097] Based on the above embodiments, the current operating status stage of the target mechanical equipment can be accurately determined according to the current failure rate of the target mechanical equipment; then, by determining and utilizing the matching target maintenance strategy, targeted maintenance processing can be performed on the target mechanical equipment to obtain better maintenance results and effectively ensure the safe operation of the nuclear power plant.

[0098] In some embodiments, before specific implementation, historical maintenance records can be extracted from the historical maintenance data of the nuclear power plant; wherein the historical maintenance records also carry the corresponding historical failure rates; historical maintenance records with successful maintenance are screened out from the historical maintenance records as positive sample historical maintenance records; then, based on the historical failure rates of the positive sample historical maintenance records, the operating status stages to which each positive sample historical maintenance record belongs are determined; and the positive sample historical maintenance records are divided into multiple data groups; wherein one data group corresponds to one operating status stage; clustering is performed on the multiple data groups respectively to extract common operations for maintenance at the same operating status stage, and the data groups are combined to obtain multiple preset equipment maintenance strategies corresponding to different operating status stages.

[0099] In specific implementation, when it is determined that the target mechanical equipment is currently in a normal operation stage, it can be judged that the target mechanical equipment is currently in a stable state, and the target mechanical equipment is likely to operate safely within the design parameter range. At this time, the target mechanical equipment can be subjected to routine and preventive maintenance according to the matching target maintenance strategy.

[0100] When it is determined that the current operating state of the target mechanical equipment is the fault warning stage, it can be judged that the target mechanical equipment is currently beginning to show early signs of potential failure due to environmental factors such as force. At this time, the target mechanical equipment can be monitored relatively frequently according to the matching target maintenance strategy, and targeted intervention can be carried out for the early signs of failure that have already appeared.

[0101] When it is determined that the target mechanical equipment currently belongs to the safety measures stage, it can be judged that the target mechanical equipment is relatively prone to failure. At this time, the target mechanical equipment can be monitored relatively more frequently according to the matching target maintenance strategy, and the detected failures can be eliminated accordingly.

[0102] When it is determined that the target mechanical equipment is currently in the rapid failure stage, it can be judged that the target mechanical equipment is relatively prone to catastrophic failure. 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 carried out in time when a failure is detected; at the same time, an alarm prompt about the rapid failure stage will be sent to the operation and maintenance personnel so that the operation and maintenance personnel can intervene in time.

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

[0104] Accordingly, after the target equipment failure rate model is used to process the current environmental influencing factor data value to determine the current failure rate of the target mechanical equipment, the method may further include:

[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 rates of the various component units of the target mechanical equipment are determined according to the target processing result.

[0106] Furthermore, the current failure rate of each component unit of the target mechanical equipment can be used to determine the component units with failure rates greater than a preset risk threshold from the component units of the target mechanical equipment as failure risk units; and then targeted tracking and monitoring of the failure risk units in the target mechanical equipment can be performed.

[0107] In addition, the failure mode of the failure risk unit in the target mechanical equipment can be determined based on the target processing results; combined with the failure mode, targeted repair and adjustment can be made to the failure risk unit, thereby effectively reducing the failure risk of the target mechanical equipment by reducing the failure risk of the failure risk unit.

[0108] In some embodiments, see Figure 2 As shown, when the method is implemented specifically, it may also include the following contents: constructing a preset equipment failure rate model matching the first mechanical equipment in the following manner:

[0109] S1: According to a preset processing rule, obtaining structure information, usage information, and function information of a first mechanical device; wherein the first mechanical device is a mechanical device used in a nuclear power plant;

[0110] S2: Disassembling the first mechanical device into a plurality of component units according to the structural information, usage information, and function information of the first mechanical device;

[0111] S3: Determine multiple candidate environmental factors based on the operating environment of the nuclear power plant;

[0112] S4: Based on the background information and the test data, by performing correlation analysis, the environmental impact factors associated with the component unit of the first mechanical equipment are screened out from the plurality of candidate environmental factors, and the corresponding environmental impact multiplication factors are determined;

[0113] S5: According to the environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors, the failure rates of the component units of the first mechanical equipment in different environmental scenarios are calculated using the test data to determine the failure rates of the first mechanical equipment corresponding to the different environmental scenarios;

[0114] S6: According to a preset fitting rule, data fitting is performed using the failure rates of a plurality of first mechanical devices to obtain a preset device failure rate model that matches the first mechanical device.

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

[0116] The above-mentioned component units can be specifically understood as key structural components constituting the first mechanical equipment.

[0117] The above-mentioned preset processing rules can be specifically understood as a rule designed based on the DSMCF processing flow (Disassemble-Screen-Map-Comprehensive-Fit) to guide the construction of a failure rate model that can reflect the impact of dynamically changing environmental scenarios on the performance of mechanical equipment.

[0118] Based on the above embodiments, a preset equipment failure rate model with strong pertinence and good effect can be constructed by making full use of background information and test data according to preset processing rules.

[0119] In the specific implementation, taking the spring-loaded safety valve as the first mechanical equipment as an example, according to the structural information, usage information, and functional information of the spring-loaded safety valve, the spring-loaded safety valve can be divided into five component units, namely, a lifting valve assembly, a seal, a spring, a solenoid, and a valve body.

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

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

[0122] In specific implementation, when performing correlation analysis based on background information and test data, the interactions and connections between different environmental factors can also be combined at the same time. Based on the failure mode, failure cause, failure impact and other information of the component unit, the environmental impact factors associated with the component unit of the first mechanical equipment and the corresponding environmental impact multiplier factor can be determined more accurately. For example, if the operating temperature is too high, on the one hand, it is easy to cause hardening, fragility, loss of elasticity, rupture, excessive wear and other phenomena of non-metallic materials, resulting in failure of the seal. On the other hand, due to the high temperature, it will also affect the physical properties of fluids such as lubricants, causing the viscosity of the fluid to decrease, which will further affect the seal.

[0123] In some embodiments, the environmental influencing factors may at least include: operating temperature, force, radiation pollutants, etc.

[0124] The above-mentioned forces may specifically include fluid pressure, contact force, friction force, etc.

[0125] In this embodiment, operating temperature, force, and radiation pollutants are selected as the most basic environmental influencing factors because the operating environment of a nuclear power plant is a high temperature, high pressure, and high radiation operating environment most of the time. A large number of tests and verifications have shown that the above three environmental influencing factors have a significant impact on most of the mechanical equipment involved in the operation of a nuclear power plant.

[0126] Based on the above embodiments, by using environmental influencing factors such as operating temperature, force, radiation pollutants, etc., it can better adapt to the operation and maintenance scenarios of nuclear power plants.

[0127] In specific implementation, for different types of mechanical equipment in nuclear power plants, combined with specific application conditions, in addition to operating temperature, force, and radiation pollutants, the above-mentioned environmental influencing factors may also include one or more of the following: fluid viscosity, voltage and current, operating speed, lubricant, etc.

[0128] In some embodiments, see Figure 3 As shown, the above-mentioned environmental impact factors associated with the component unit of the first mechanical equipment are screened out from multiple candidate environmental factors through correlation analysis based on the background information and test data, and the corresponding environmental impact multiplication factors are determined. When implemented specifically, the following contents may be included:

[0129] S1: Based on the background information, establish the correlation matrix between component units and candidate environmental factors;

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

[0131] S3: Determine the impact range of each environmental factor based on the test data;

[0132] S4: According to the impact degree range of each environmental impact factor, determine the environmental impact multiplier factor corresponding to the environmental impact factor.

[0133] In specific implementation, the maximum and minimum values ​​of the impact data values ​​of various environmental influencing factors on different failure modes of associated component units can be determined based on test data through data statistics, and then based on the above maximum and minimum values, the impact degree range of each environmental influencing factor can be determined.

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

[0135] Based on the above embodiments, the background information and the test data can be used together to accurately determine the environmental impact factors and the environmental impact multiplication factors corresponding to the environmental impact factors.

[0136] In some embodiments, see Figure 4 As shown, the above-mentioned environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors are calculated using test data and based on the failure rates of the component units of the first mechanical equipment in multiple different environmental scenarios, to determine the failure rates of multiple first mechanical equipment corresponding to different environmental scenarios. When specifically implemented, the following contents may be included: Determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario in the following manner:

[0137] S1: Determine the data value of the environmental influencing factors of the current environmental scenario based on the test data;

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

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

[0140] S4: Determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario by combining the failure rates of the component units of the first mechanical equipment in the current environmental scenario.

[0141] In specific implementation, the sub-failure rate of the component unit under the failure mode can be calculated based on the mapping relationship corresponding to the failure mode of the component unit, using the data values ​​of the environmental impact factors of the relevant current environment and the environmental impact multiplication factor; and then, based on the degree of influence of different failure modes on the overall failure situation of the component unit, the sub-failure rates of multiple failure modes of the component unit are combined to calculate the failure rate of the component unit.

[0142] Based on the above embodiment, the failure rate of each component unit of the first mechanical device is first calculated based on the dimension of the component unit; then based on the dimension of the first mechanical device, the failure rate of each component unit is combined to accurately determine the overall failure rate of the first mechanical device.

[0143] In specific implementation, taking the spring-loaded safety valve as the first mechanical device as an example, the failure rate of the poppet valve assembly, the failure rate of the seal, the failure rate of the spring, the failure rate of the solenoid, and the failure rate of the valve body can be calculated respectively according to the following formula; and the failure rates of the above-mentioned component units are combined to obtain the failure rate of the first mechanical device:

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

[0151] In specific implementation, the failure rate of each component unit without considering environmental factors can be determined by table lookup based on background information (for example, the "Mechanical Equipment Reliability Prediction Manual"), as the basic failure rate of each component unit. At the same time, the value of the previously determined environmental impact multiplication factor can be adjusted according to the data value of the environmental impact factor of the current environmental scene and the corresponding mapping relationship, and the above formula is used to obtain the multiplication factor of the environmental impact factor for specifically determining the failure rate.

[0152] In specific implementation, for each component unit, the failure rate of the component unit under various failure modes can be calculated by using the data value of the environmental impact factor according to the current environmental scenario, the environmental impact multiplication factor and the corresponding mapping relationship; then, according to the degree of influence of different failure modes on the failure of the component unit, the first weight coefficient for different failure modes is determined; according to the first weight coefficient, the failure rates under multiple failure modes are weighted and summed to obtain the failure rate of the component unit. After obtaining the failure rates of each component unit of the first mechanical equipment, the second weight coefficient for different component units can be determined according to the influence of different component units on the functional realization and safe operation of the first mechanical equipment; then, according to the second weight coefficient, the failure rates of multiple component units are weighted and summed to obtain the failure rate of the first mechanical equipment as a whole.

[0153] In some embodiments, the above method of performing data fitting using the failure rates of multiple first mechanical devices according to a preset fitting rule to obtain a preset device failure rate model matching the first mechanical device may include:

[0154] According to a preset fitting rule, the failure rates of a plurality of first mechanical devices are utilized, and data fitting is performed based on a cumulative distribution function to obtain a preset device failure rate model that matches the first mechanical device.

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

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

[0157]

[0158] Among them, y represents the cumulative failure rate of the first mechanical equipment; x is the probability value to be determined; y0 is the initial value of CDF, usually 0, because when x is close to 0, the cumulative probability also approaches 0; A1 is the maximum change of CDF, usually 1, which means that when the random variable changes within its possible range, CDF changes from 0 to 1; a is the shape parameter, also called α, which affects the shape of the distribution; b is the scale parameter, also called β, which affects the width and position of the distribution; τ(a) is the Gamma function, when a is a positive integer, it is equal to (a-1)! .

[0159] The above initial model is then used to process and learn the failure rates of multiple first mechanical devices and perform data fitting to obtain a preset equipment failure probability model that meets the requirements.

[0160] Based on the above embodiments, by introducing and using the cumulative distribution function, the change in failure rate of the first mechanical equipment and each component unit of the first mechanical equipment can be better simulated, thereby obtaining a preset equipment failure probability model with higher accuracy and better effect for the first mechanical equipment.

[0161] In specific implementation, in the above manner, according to the preset processing rules, using the background information and test data of the first mechanical equipment of different equipment types, a plurality of preset equipment failure rate models corresponding to the plurality of different equipment types can be constructed; and then the plurality of preset equipment failure rate models can be combined to obtain a corresponding preset equipment failure rate model library.

[0162] In some embodiments, the first mechanical device may specifically include: a spring-loaded safety valve;

[0163] Accordingly, environmental influencing factors may include: operating temperature, fluid pressure, contact stress, fluid viscosity, and radiation contaminants;

[0164] The component unit of the first mechanical device includes: 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 device failure probability model can be constructed for the spring-loaded safety valve. During specific implementation, the above target device failure probability model can be used to accurately and efficiently determine the specific failure rate of the spring-loaded safety valve in the current environmental scenario for the spring-loaded safety valve.

[0166] As can be seen from the above, based on the method for determining the failure rate of nuclear power plant mechanical equipment provided by the embodiment of this specification, before specific implementation, it is possible to first combine the specific environmental factors of the nuclear power plant and the specific characteristics of each component unit of the mechanical equipment to construct multiple preset equipment failure rate models that correspond to different types of mechanical equipment in the nuclear power plant, and have high accuracy and good effects. During specific implementation, the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment can be obtained first; then, according to the equipment type of the target mechanical equipment, a matching preset equipment failure rate model is determined from the preset equipment failure rate model library as the target equipment failure rate model; at the same time, according to the current environmental characteristic parameters, the current environmental influencing factor data value that matches the target mechanical equipment is obtained; the target equipment failure rate model is used to process the current environmental influencing factor data value to determine the current failure rate of the target mechanical equipment. In this way, the failure rate of mechanical equipment in a nuclear power plant under different environmental scenarios can be determined efficiently and accurately, effectively reducing errors and maintaining the safe operation of the nuclear power plant.

[0167] This specification embodiment provides an electronic device, referring to Figure 5 The electronic device includes a network communication port 501, a processor 502 and a memory 503, and the above structures are connected through internal cables so that each structure can perform specific data interaction.

[0168] The network communication port 501 can be used to obtain the equipment 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 equipment failure rate model from a preset equipment failure rate model library as a target equipment failure rate model according to the equipment type of the target mechanical equipment; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data; according to current environmental characteristic parameters, obtain current environmental influencing factor data values ​​that match the target mechanical equipment; use the target equipment failure rate model to process the current environmental influencing factor data values ​​to determine the current failure rate of the target mechanical equipment.

[0170] The memory 503 may be specifically used to store corresponding instruction programs, as well as current environment characteristic parameters, target device failure models and other related data.

[0171] Based on the above method, the relevant structural performance of the electronic equipment can be effectively utilized, the data processing speed of the electronic equipment can be improved, and the data processing for determining the failure rate of the mechanical equipment of the nuclear power plant can be efficiently realized.

[0172] In this embodiment, the network communication port 501 can be a virtual port that is bound to different communication protocols so that different data can be sent or received. 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 email data communication. In addition, the network communication port can also be a physical communication interface or 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 this embodiment, the processor 502 may be implemented in any appropriate manner. For example, the processor may take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) executable by the (micro)processor, a logic gate, a switch, an application specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, etc. This specification does not limit this.

[0174] In this embodiment, the memory 503 may include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function but no physical form 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, TF card, etc.

[0175] The embodiments of this specification also provide a computer-readable storage medium based on the above-mentioned method for determining the failure rate of nuclear power plant mechanical equipment, wherein the computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed, the following steps are implemented: obtaining the equipment type of the target mechanical equipment of the nuclear power plant, and the current environmental characteristic parameters of the target mechanical equipment; according to the equipment type of the target mechanical equipment, determining a matching preset equipment failure rate model from a preset equipment failure rate model library as the target equipment failure rate model; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data; according to the current environmental characteristic parameters, obtaining the current environmental influencing factor data value that matches the target mechanical equipment; using the target equipment failure rate model to process the current environmental influencing factor data value to determine the current failure rate of the target mechanical equipment.

[0176] In this 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 (HDD), or a memory card. The memory may be used to store computer program instructions. The network communication unit may be an interface for network connection communication set in accordance with the standard specified by the communication protocol.

[0177] In this embodiment, the functions and effects specifically implemented by the program instructions stored in the computer-readable storage medium can be explained in comparison with other implementations and will not be described in detail here.

[0178] The embodiments of the present specification also provide a computer program product, which at least includes a computer program, and when the computer program is executed by a processor, it implements the following method steps: obtaining the equipment type of the target mechanical equipment of the nuclear power plant, and the current environmental characteristic parameters of the target mechanical equipment; according to the equipment type of the target mechanical equipment, determining a matching preset equipment failure rate model from a preset equipment failure rate model library as the target equipment failure rate model; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data; according to the current environmental characteristic parameters, obtaining the current environmental influencing factor data value that matches the target mechanical equipment; using the target equipment failure rate model to process the current environmental influencing factor data value to determine the current failure rate of the target mechanical equipment.

[0179] See also Figure 6 As shown, the embodiment of this specification also provides a device for determining the failure rate of mechanical equipment in a nuclear power plant, and the device may specifically include the following structural modules:

[0180] The first acquisition module 601 may be specifically used to acquire the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment;

[0181] The first determination module 602 may be specifically used to determine a matching preset equipment failure rate model from a preset equipment failure rate model library as a target equipment failure rate model according to the equipment type of the target mechanical equipment; wherein the preset equipment failure rate model is constructed in advance according to a preset processing rule using background information and test data;

[0182] The second acquisition module 603 may be specifically used to acquire the current environmental influencing factor data value matching the target mechanical equipment according to the current environmental characteristic parameters;

[0183] The second determination module 604 may be specifically configured to process the current environmental influencing factor data value using the target equipment failure rate model to determine the current failure rate of the target mechanical equipment.

[0184] In some embodiments, after determining the current failure rate of the target mechanical equipment, the device can also be used when implemented to: determine the current operating status stage of the target mechanical equipment based on the current failure rate of the target mechanical equipment; wherein the operating status stage includes: normal operation stage, fault warning stage, safety measures stage; based on the current operating status stage of the target mechanical equipment, determine a matching target maintenance strategy from a preset equipment maintenance strategy set; and perform matching maintenance processing on the target mechanical equipment based on the target maintenance strategy.

[0185] In some embodiments, when the device is implemented, a preset equipment failure rate model matching the first mechanical equipment can also be constructed in the following manner: according to preset processing rules, the structural information, usage information, and functional information of the first mechanical equipment are obtained; wherein the first mechanical equipment is a mechanical equipment used in a nuclear power plant; according to the structural information, usage information, and functional information of the first mechanical equipment, the first mechanical equipment is disassembled into multiple component units; according to the operating environment of the nuclear power plant, multiple candidate environmental factors are determined; according to background information and test data, by performing correlation analysis, environmental impact factors associated with the component units of the first mechanical equipment are screened out from multiple candidate environmental factors, and corresponding environmental impact multiplication factors are determined; according to the environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors, the test data is used to calculate and according to the failure rates of the component units of the first mechanical equipment in multiple different environmental scenarios, the failure rates of multiple first mechanical equipment corresponding to different environmental scenarios are determined; according to the preset fitting rules, the failure rates of multiple first mechanical equipment are used to perform data fitting to obtain a preset equipment failure rate model matching the first mechanical equipment.

[0186] In some embodiments, the environmental influencing factors may at least include: operating temperature, force, radiation pollutants, etc.

[0187] In some embodiments, when the device is implemented, the environmental impact factors associated with the component units of the first mechanical equipment can be screened out from multiple candidate environmental factors through correlation analysis based on background information and test data in the following manner, and the corresponding environmental impact multiplication factors can be determined: based on the background information, a correlation matrix between the component units and the candidate environmental factors is established; based on the correlation matrix, a preset number of candidate environmental factors with high correlations are screened out as environmental impact factors; based on the test data, the influence degree range of each environmental impact factor is determined; based on the influence degree range of each environmental impact factor, the environmental impact multiplication factor corresponding to the environmental impact factor is determined.

[0188] In some embodiments, when the device is implemented, the failure rates of multiple first mechanical devices corresponding to different environmental scenarios can be determined in the following manner based on the environmental influencing factors associated with the component units of the first mechanical equipment and the corresponding environmental influencing multiplication factors, using test data to calculate and based on the failure rates of the component units of the first mechanical equipment in multiple different environmental scenarios: Determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario in the following manner: Determine the data value of the environmental influencing factors of the current environmental scenario based on the test data; Determine the failure mode of the component unit that causes the failure of the first mechanical equipment and the mapping relationship corresponding to the failure mode based on the structural information, usage information, and functional information of the first mechanical equipment; Calculate the failure rate of the component unit of the first mechanical equipment in the current environmental scenario based on the data value of the environmental influencing factors of the current environmental scenario, the environmental influencing multiplication factor and the corresponding mapping relationship; Determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario by combining the failure rates of the component units of the first mechanical equipment in the current environmental scenario.

[0189] In some embodiments, when the device is implemented, data fitting can be performed using the failure rates of multiple first mechanical devices according to preset fitting rules to obtain a preset equipment failure rate model that matches the first mechanical equipment in the following manner: According to preset fitting rules, data fitting is performed based on the cumulative distribution function using the failure rates of multiple first mechanical devices to obtain a preset equipment failure rate model that matches the first mechanical equipment.

[0190] In some embodiments, the first mechanical device may specifically include: a spring-loaded safety valve; correspondingly, environmental influencing factors include: operating temperature, fluid pressure, contact stress, fluid viscosity, and radiation pollutants; the component units of the first mechanical device include: a lifting valve assembly, a seal, a spring, a solenoid, and a valve body.

[0191] It should be noted that the units, devices or modules described 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 devices are described separately by functions divided into various modules. Of course, when implementing this specification, the functions of each module can be implemented in the same or more software and / or hardware, or the modules that implement the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

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

[0193] In a specific scenario example, the method for determining the failure rate of nuclear power plant mechanical equipment provided in this specification can be applied to construct a failure rate fitting model for spring-loaded safety valves (a preset equipment failure rate model), and use this model to achieve one-click analysis of the failure rate of spring-loaded safety valves in complex environments.

[0194] In this scenario example, the reliability of mechanical equipment often directly affects the economy and safety of nuclear power plants. According to official data from the World Nuclear Association (WNA): equipment investment in the nuclear power industry chain accounts for 50%, and the number of mechanical equipment in nuclear power plant systems accounts for more than 60%. Taking nuclear-grade valves as an example, they account for about 5% of the construction cost of nuclear power plants, but among the maintenance costs of all components, the maintenance cost of nuclear-grade valves accounts for more than 50%. The safety of nuclear power plants is a key issue in the development of nuclear energy, and its safety evaluation process requires the failure rate of mechanical equipment as input.

[0195] However, the complex operating conditions of nuclear power plants cause the equipment to face a changing operating environment, which makes the equipment face different working environments (for example, different environmental scenarios) during operation. Based on the existing nuclear power plant safety assessment methods, most of them use constant overall equipment failure rate data. However, the constant overall equipment failure rate cannot accurately reflect the performance of the equipment in the dynamic environment, nor can it clearly show the impact of environmental and load factors and usage history on the failure rate. At the same time, the failure rate of the equipment as a whole is mainly concentrated on the failure mode at the equipment level, but cannot be accurate to the component level, which brings inconvenience to fault location and repair.

[0196] In view of the above problems, a new failure rate assessment and prediction method is proposed. Through the disassembly-screening-mapping-integration-fitting (DSMCF) process, the failure rate of nuclear power plant mechanical equipment is evaluated and predicted, which can reflect the impact of environmental factors on the failure rate of mechanical equipment.

[0197] For details, see Fig.17 As shown, the above DSMCF processing flow generally includes the following steps:

[0198] S1: Disassemble, disassemble the mechanical device into components and identify the failure modes of the components (for example, disassemble the first mechanical device into multiple component units);

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

[0200] S3: Mapping, mapping the environmental factors with the failure rates, and obtaining the environmental impact factor multiplication factor of the specific failure mode through analysis (for example, determining the corresponding environmental impact multiplication factor);

[0201] S4: Comprehensive, integrating the failure rate of the component into the equipment failure rate, and calculating the failure rate of the corresponding failure mode (for example, using the test data to calculate and determine the failure rates of multiple first mechanical devices corresponding to different environmental scenarios based on the failure rates of the component units of the first mechanical device under multiple different environmental scenarios);

[0202] S5: Fitting, using the distribution function to fit the failure rate, obtaining the failure rate variation curve that changes with the environmental characteristic parameters, and supporting one-click analysis of the equipment (for example, according to the preset fitting rules, using the failure rates of multiple first mechanical equipment to perform data fitting, to obtain a preset equipment failure rate model that matches the first mechanical equipment).

[0203] In this scenario example, when implementing the disassembly in step S1, the mechanical parts can be accurately disassembled to the functional component level, the SolidWorks assembly drawing of the parts can be drawn, and the functions of each component can be analyzed to lay the foundation for the subsequent failure mode analysis. In this scenario example, a spring-loaded safety valve is used as an example for analysis. The safety valve is mainly divided into: a poppet valve assembly (for example, including: a valve 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 Figure 7 As shown in the figure, the poppet valve assembly and solenoid are used for flow control, pressure control and direction control valves. The seal and 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] Next, the failure modes of the spring loaded safety valve can be analyzed. The failure modes of the spring loaded safety valve can be determined based on the knowledge of the valve design characteristics and the expected operating environment. Generally, many valve assemblies are designed specifically for specific applications. For those failure modes that are identified as critical or the analysis results show that they can be investigated and analyzed in combination with background information. The failure rate fitting model involved in this scenario example is based on the determination of the failure mode and takes into account the specific equipment characteristics and the expected operating environment, and is corrected using the multiplication factor of the corresponding environmental factors.

[0205] Finally, it is worth noting that the failure modes and corresponding environmental factor multiplication factors that still maintain the safety valve function are no longer included in the calculation. This is also a consideration of safety margin when evaluating the safety margin. It is considered that the failure rate that does not affect the loss of function is included in the failure rate. This method can be used to estimate the probability of occurrence of each failure mode.

[0206] In addition, as a sliding valve, the main failure modes that should be considered for the above safety valve are internal leakage or no opening due to spool (core) wear and slow valve response or refusal to open due to piston sticking. The main reason for spool wear or slow response of the poppet valve is the presence of contaminants.

[0207] The main failure mode of the seat surface is wear due to the action of contaminants. Including liquid under pressure, the seat will wear where the sealing element contacts the seat, which will locally affect the seal and internal leakage. However, with the correct seat material for the application and minimizing contaminants, the failure rate of the valve due to seat wear should be minimized. The sealing element can be a poppet valve, a flapper or a ring. The failure modes of the cover sealing element include fatigue failure caused by repeated impact on the seat, sudden changes in the pressure difference between the two sides of the valve, and corrosion caused by contaminants.

[0208] Furthermore, after evaluating the reliability of the basic valve parts, the dynamics of the valve must be considered. In addition, the spring is one of the most critical parts for estimating the failure rate of the valve. For example, poor dynamic response caused by spring misalignment is a potential failure mode that needs to be considered. Pressure differential, operating temperature, viscosity and utilization are all variables that affect the failure rate of the valve. Therefore, the surface roughness of the poppet valve, the allowable leakage and the contaminant factor taking into account the flow rate are used to estimate the wear failure rate caused by contaminants; the failure rates of the valve seal, return spring and solenoid actuator are determined separately.

[0209] During specific implementation, for the screening of step S2, the reliability data (background information) of nuclear power plant equipment provided by the Nuclear Safety Administration and the IAEA can be combined for analysis to screen out environmental factors affecting the failure rate of mechanical equipment. Among them, the Mechanical Equipment Reliability Prediction Handbook provides material properties, operating environment and key failure mode data at the component level, which can be compared and verified through reliability prediction and reliability test results, and has general representativeness and applicability. In addition, the nuclear power general database provided by the Nuclear Safety Administration and the IAEA is a database commonly used in nuclear power plant safety analysis, and can be compared and verified with the reliability data obtained using the method provided in this application.

[0210] Specifically, in order to screen out the environmental factors that have the greatest impact on typical mechanical parts of nuclear power plants, the multiplication factors of environmental factors for mechanical parts in the "Mechanical Equipment Reliability Prediction Manual" can be statistically analyzed, and the percentage of occurrence of each environmental factor can be calculated. The environmental factors with the highest occurrence (the top 1 / 3) can be screened as the focus of attention.

[0211] When screening specifically, the components and the environmental factors that affect them can be used as the horizontal and vertical axes respectively to establish a correlation matrix. First, the multiplication factors of the mechanical components on environmental factors recorded in the background materials such as the "Mechanical Equipment Reliability Prediction Manual" are statistically analyzed to form the horizontal axis of the matrix. Then, the correlation statistical method is used to statistically analyze the distribution of the impact of environmental factors on machine components. The black box "1" indicates that the environmental impact factor corresponding to the mechanical component appears once, and the gray box indicates that the mechanical equipment has no correlation with the corresponding mechanical equipment. The statistical results of the environmental impact factors corresponding to the mechanical components can be referred to. Figure 8 Then the percentage of occurrence of each environmental impact factor is counted, as shown in Fig. 9 The brackets represent the percentage, and the brackets represent the number of occurrences. In this scenario example, environmental factors that account for less than 2% are not marked.

[0212] Based on the above statistical results, a total of 19 typical parts were counted, with 21 environmental factor multiplication factors, which appeared 53 times in total. The number of occurrences of environmental factor multiplication factors: temperature> pollutant related> pressure (stress)> fluid viscosity = voltage and current = lubricant = speed. Among them, environmental influencing factors mainly select factors that have a greater impact on mechanical equipment and a higher degree of relevance. According to the statistical results, this case finally selected seven environmental influencing factors: temperature, pollutant related, pressure (stress), fluid viscosity, voltage and current, lubricant and speed. Then, Table 1 can be sorted out to show the statistics of the most environmental factors.

[0213] Table 1

[0214]

[0215]

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

[0217] Table 2

[0218]

[0219] Based on this table, it can be analyzed that the impact of environmental factors on the reliability of the equipment in this case study is:

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

[0221] In this scenario example, for the sake of convenience of explanation and simplification of processing, the first-ranked environmental factor (operating temperature) is used as a characteristic parameter (environmental influencing factor), and subsequent mapping work is carried out based on this characteristic parameter.

[0222] For step S3 mapping, first, a failure rate evaluation flow chart of mechanical equipment can be given according to the DSMCF processing flow. Taking the spring-loaded valve as an example, the relevant failure rate evaluation processing flow can be found in Fig.10 As shown. As a safety margin, failures that do not affect the loss of function are also included in the failure rate. In this scenario example, the failure mode and the corresponding environmental factor multiplication factor that still maintain the safety valve function are not included. Fig.10 The process shown can determine the required mapping relationship.

[0223] For step S4 integration, this step integrates the failure rate of the component into the equipment failure rate and calculates the failure rate of the corresponding failure mode; taking the spring-loaded safety valve as an example, the formula of the valve failure rate is used to solve and obtain the 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] Among them, λ VA is the failure rate of the spring-loaded safety valve, λ PO is the failure rate of the poppet valve 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 valve assembly (e.g., 1.4 failures / million operations), λ SE，B is the basic failure rate of the seal (e.g., 2.4 failures / million operations), λ SP，B is the basic failure rate of the spring (e.g., 23.8 failures / million operations), λ SO，B is the basic failure rate of the solenoid (e.g., 2.77 failures / million operations), λ HO，B is the basic failure rate of the valve body (for example, 0.01 failures / million operations), C P is the fluid pressure multiplication factor, C v is the fluid viscosity multiplication factor, C N is the radiation contamination multiplication factor, CS is the contact stress multiplication factor, C T is the operating temperature multiplication factor, C R is the corrosive environment multiplication factor, C K is the applicability multiplication factor.

[0231] It should be added that the above basic failure rate can be obtained based on the background material "Handbook of Mechanical Equipment Reliability Prediction". The multiplication factor ignored in the above formula has a small impact, and the actual calculation will also include the above impact.

[0232] Finally, the failure rates of specific components and corresponding failure modes can be obtained, as shown in Table 3.

[0233] Table 3

[0234]

[0235] Based on the DSMCF process, the failure rate of different components under specific failure modes is obtained according to the above failure rate formula. The failure rate values ​​are recorded in the last column of Table 3.

[0236] Next, we can compare Table 3 with the failure rate statistics table (Table 4) in the nuclear power general database provided by the Nuclear Safety Administration and the IAEA. The probability of failure is at the same level, but the nuclear power general database of the Nuclear Safety Administration does not provide specific failure modes of specific components. In this scenario example, based on the DSMCF processing flow, the failure rate of specific components and corresponding failure modes can be obtained, which can be more conducive to timely finding the cause of the fault and shortening the fault location time, which 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, obtains a failure rate variation curve that varies with environmental characteristic parameters, and supports one-click analysis of the device.

[0240] In this scenario example, Gamma CDF (cumulative distribution function) can be used to fit the failure rate of mechanical equipment. According to research, Gamma CDF is more suitable for fitting the failure rate curve of mechanical equipment compared with other functions. The specific expression of GammaCDF function is:

[0241]

[0242] Among them, y represents the cumulative failure rate of the first mechanical equipment; x is the probability value to be determined; y0 is the initial value of CDF, usually 0, because when x is close to 0, the cumulative probability also approaches 0; A1 is the maximum change of CDF, usually 1, which means that when the random variable changes within its possible range, CDF changes from 0 to 1; a is the shape parameter, also called α, which affects the shape of the distribution; b is the scale parameter, also called β, which affects the width and position of the distribution; τ(a) is the Gamma function, when a is a positive integer, it is equal to (a-1)! .

[0243] In order to simplify the explanation, only the temperature parameter is considered here. In specific implementation, the Gamma CDF function can be used to fit the failure rates of different components and the total valve to form a fitting curve, and obtain the corresponding function that changes with the temperature parameter, supporting one-click analysis of equipment failure rates when key sensitive environmental factors change.

[0244] The failure rate of the key sensitive environmental factor - temperature-affected components (solenoids and seals) is corrected. The temperature is changed from 80°C to 500°C, and the value of the temperature multiplication factor changes accordingly. The correction factor is then integrated into the equipment according to the components to directly correct the equipment failure rate. Finally, the failure rates of different components and the total valve are fitted to form a fitting curve, which can be referred to Fig.11 (Failure rate of valves and components varies with temperature fitting curve) and Fig.12 (0-500℃ enlarged view of some parts) to obtain the corresponding function that changes with temperature parameters, supporting one-click analysis of equipment. Among them, in this patent, temperature parameters are defined as characteristic parameters, and different parts of the same equipment use the same characteristic parameters. The characteristic parameters of different equipment are obtained by the aforementioned key sensitive environmental factor determination method.

[0245] For further information, see Fig.13 ,The overall failure rate of the spring loaded safety valve shows an increasing trend with the increase of temperature, and rises sharply at 446 ℃.

[0246] In addition, see Fig.14, as temperature-affected components, the seals and solenoids can be analyzed separately. Specifically, spring-loaded safety valves are essential components that bear pressure in many industrial applications, and their failure sensitivity is mainly reflected in the seals and solenoids. These two components are generally considered to be the most common failure points, which will undermine the reliability and effectiveness of the valve. Nevertheless, it is worth noting that the poppet valve assembly, spring and valve body usually maintain stable performance under changing temperature environmental conditions, and have little effect on the overall failure rate of the valve system. However, with significant changes in environmental factors (especially temperature), the situation will change dramatically. When the ambient temperature approaches about 450°C, the failure rate of these components will increase significantly. This is partially determined by the rapid failure temperature point of the total valve (equipment). This temperature threshold is a critical point. Beyond this critical point, the material properties and operational integrity of the valve components will be compromised, resulting in a significant increase in the possibility of failure or complete failure. This phenomenon emphasizes 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 equipment failure rate period (for example, operating state stage) is also defined based on the analysis, which can be referred to Fig.15 As shown, it provides a reference for further maintenance of spare parts.

[0248] Among them, the normal operation stage is characterized by the equipment being in a stable state and expected to operate within its design parameters. Maintenance at this stage is routine and preventive, with temperatures ranging from 80°C to 435°C. The transition to the fault warning stage (temperature range from 435°C to 446°C) indicates that the equipment may begin to show early signs of stress or potential failure. The maintenance strategy at this time may involve closer monitoring and starting to prepare for potential intervention. In the safety measures stage, the temperature ranges from 446°C to 463°C, and people are more aware of and implement safety protocols. Maintenance work may be more frequent and intensive to prevent impending failures. Finally, the rapid failure stage from 463°C to 500°C indicates the critical point where the equipment is extremely susceptible to rapid and catastrophic failures. At this stage, decisive maintenance measures must be taken immediately, and having spare parts on hand is essential to minimize downtime and operational interruptions.

[0249] Finally, see Fig.16 As shown, according to the fitting results of the Gamma CDF function (see Table 5), the original fault curve and the fitting curve are very close, the fitting effect is very good, and the R square is 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 equipment and achieve early warning, thereby providing technical support for equipment maintenance and locating faulty components. This approach realizes the impact of a single characteristic parameter on the stability of equipment performance, facilitates engineering testing and tracking, and allows effective intervention measures to be taken before a failure occurs.

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

[0255] Although the present specification provides method operation steps as described in the embodiments or flow charts, more or less operation steps may be included based on conventional or non-creative means. The order of steps listed in the embodiments is only one way of executing the order of many steps, and does not represent a unique execution order. When the device or client product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiments or the drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. The first, second, etc. words are used to represent the name, and do not represent any particular order.

[0256] Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the controller can be made to implement the same function 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 devices for implementing various functions included therein can also be considered as structures within the hardware component. Or even, the devices for implementing various functions can be considered as both software modules for implementing the method and structures within the hardware component.

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

[0258] Through the description of the above embodiments, it can be known that those skilled in the art can clearly understand that the present specification can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present specification can essentially be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for enabling 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 embodiment of the present specification or some parts of the embodiments.

[0259] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. This specification can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0260] Although the present specification is described through embodiments, those skilled in the art will appreciate that there are many modifications and changes to the present specification without departing from the spirit of the present specification, and it is intended that the appended claims include these modifications and changes without departing from the spirit of the present specification.

Claims

1. A method for determining the failure rate of mechanical equipment in a nuclear power plant, characterized in that: include: Acquire the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment; According to the equipment type of the target mechanical equipment, a matching preset equipment failure rate model is determined from a preset equipment failure rate model library as the target equipment failure rate model; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data; According to the current environmental characteristic parameters, obtain the current environmental influencing factor data value matching the target mechanical equipment; The target equipment failure rate model is used to process the current environmental influencing factor data values ​​to determine the current failure rate of the target mechanical equipment.

2. The method according to claim 1, characterized in that After determining the current failure rate of the target mechanical equipment, the method further includes: According to the current failure rate of the target mechanical equipment, determine the current operation state stage of the target mechanical equipment; wherein the operation state stage includes: normal operation stage, failure warning stage, and safety measures stage; According to the current operation state stage of the target mechanical equipment, a matching target maintenance strategy is determined from the preset equipment maintenance strategy set; According to the target maintenance strategy, the target mechanical equipment is subjected to matching maintenance treatment.

3. The method according to claim 1, characterized in that The method further includes: constructing a preset equipment failure rate model matching the first mechanical equipment in the following manner: According to a preset processing rule, structural information, usage information, and functional information of a first mechanical device are obtained; wherein the first mechanical device is a mechanical device used in a nuclear power plant; Disassembling the first mechanical equipment into a plurality of component units according to the structural information, usage information, and function information of the first mechanical equipment; According to the operating environment of the nuclear power plant, multiple candidate environmental factors are identified; Based on the background information and the test data, by performing correlation analysis, the environmental impact factors associated with the component unit of the first mechanical equipment are screened out from a plurality of candidate environmental factors, and the corresponding environmental impact multiplication factors are determined; According to the environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors, the failure rates of the first mechanical equipment corresponding to the different environmental scenarios are determined by calculating the failure rates of the component units of the first mechanical equipment in the different environmental scenarios using the test data; According to a preset fitting rule, data fitting is performed using the failure rates of a plurality of first mechanical devices to obtain a preset device failure rate model that matches the first mechanical device.

4. The method according to claim 3, characterized in that: The environmental influencing factors at least include: operating temperature, force, and radiation pollutants.

5. The method according to claim 3, characterized in that: According to the background information and test data, by performing correlation analysis, the environmental impact factors associated with the component unit of the first mechanical equipment are screened out from multiple candidate environmental factors, and the corresponding environmental impact multiplication factors are determined, including: According to the background information, establish the correlation matrix between component units and candidate environmental factors; According to the correlation matrix, a preset number of candidate environmental factors with the highest correlation are selected as environmental influencing factors; According to the test data, determine the impact range of each environmental factor; According to the scope of influence of each environmental factor, the environmental impact multiplier factor corresponding to the environmental factor is determined.

6. The method according to claim 3, characterized in that According to the environmental impact factors associated with the component units of the first mechanical equipment and the corresponding environmental impact multiplication factors, the failure rates of the component units of the first mechanical equipment in different environmental scenarios are calculated using the test data and determined according to the failure rates of the component units of the first mechanical equipment in different environmental scenarios, including: The failure rate of the first mechanical equipment corresponding to the current environmental scenario is determined in the following manner: According to the test data, determine the data values ​​of the environmental influencing factors of the current environmental scenario; Determine, based on the structure information, usage information, and function information of the first mechanical equipment, a failure mode of a component unit causing failure of the first mechanical equipment, and a mapping relationship corresponding to the failure mode; Calculate the failure rate of the component unit of the first mechanical equipment in the current environmental scenario according to the data value of the environmental impact factor of the current environmental scenario, the environmental impact multiplication factor and the corresponding mapping relationship; The failure rates of the component units of the first mechanical equipment in the current environmental scenario are used in combination to determine the failure rate of the first mechanical equipment corresponding to the current environmental scenario.

7. The method according to claim 3, characterized in that According to a preset fitting rule, data fitting is performed using the failure rates of a plurality of first mechanical devices to obtain a preset equipment failure rate model that matches the first mechanical device, including: According to a preset fitting rule, the failure rates of a plurality of first mechanical devices are utilized, and data fitting is performed based on a cumulative distribution function to obtain a preset device failure rate model that matches the first mechanical device.

8. The method according to claim 3, characterized in that The first mechanical device includes: a spring-loaded safety valve; Correspondingly, environmental factors include: operating temperature, fluid pressure, contact stress, fluid viscosity, and radiation pollutants; The component unit of the first mechanical device includes: a poppet valve assembly, a seal, a spring, a solenoid, and a valve body.

9. A device for determining the failure rate of mechanical equipment in a nuclear power plant, characterized in that: include: A first acquisition module is used to acquire the equipment type of the target mechanical equipment of the nuclear power plant and the current environmental characteristic parameters of the target mechanical equipment; The first determination module is used to determine a matching preset equipment failure rate model from a preset equipment failure rate model library as a target equipment failure rate model according to the equipment type of the target mechanical equipment; wherein the preset equipment failure rate model is constructed in advance according to preset processing rules using background information and test data; The second acquisition module is used to acquire the current environmental influencing factor data value matching the target mechanical equipment according to the current environmental characteristic parameters; The second determination module is used to process the current environmental influencing factor data value using the target equipment failure rate model to determine the current failure rate of the target mechanical equipment.

10. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the instructions are executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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