A method, system, device, and medium for evaluating primary pump reliability
By employing a multidimensional data-driven strongly coupled evaluation method, the shortcomings of the linear weighting method in the reliability assessment of main pump operation are addressed. This method enables accurate assessment of main pump reliability and early fault warning, thereby improving the accuracy and robustness of the assessment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CGN CANGNAN NUCLEAR POWER CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-21
AI Technical Summary
In existing technologies, the reliability assessment of main pump operation often adopts the linear weighting method, which cannot meet actual needs, ignores the impact of the deterioration of individual key parameters on overall reliability, and leads to the failure to identify potential faults in a timely manner. The assessment results deviate significantly from the actual situation and lack robustness.
A multidimensional data-coupled evaluation method is adopted. By normalizing the operating parameters of each sub-component of the main pump, a reliability index is generated using fuzzy membership function and multiplication operation. Furthermore, a correction factor and a time decay factor are introduced to generate a continuous reliability fluctuation curve.
It significantly improves the accuracy and robustness of the assessment results, can truly reflect the physical coordination and failure correlation between sub-components, and enhances the early fault warning capability.
Smart Images

Figure CN122434493A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of nuclear power plant operation and maintenance technology, specifically relating to a method, system, equipment, and medium for assessing the operational reliability of a main pump. Background Technology
[0002] Nuclear power, as a clean, efficient, and stable new energy source, has become a core supporting force for the optimization and upgrading of the energy structure, while nuclear safety is the lifeline for the sustainable development of the nuclear power industry. The reactor coolant main pump (hereinafter referred to as the main pump), as the only rotating mechanical equipment in the primary loop system of a pressurized water reactor nuclear power plant, directly determines the safe, stable, and efficient operation of the nuclear power unit through its operational reliability. It is one of the key core equipment for ensuring the safe operation of nuclear power plants and preventing the risk of nuclear leakage.
[0003] However, current main pump reliability assessments mostly use linear weighting methods (such as a deduction system), which obtain the corresponding assessment results by weighting and summing the various monitoring parameters of the main pump (such as temperature, vibration, pressure, etc.), which cannot meet the actual needs of main pump reliability assessment. Summary of the Invention
[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to propose a quantitative evaluation method for the operational reliability of the main pump based on strong coupling of multi-dimensional data. This method aims to overcome the bottleneck effect caused by the linear weighting method, emphasize the decisive impact of the deterioration of a single key parameter on the overall reliability of the main pump, and thus maintain the reliable operation of the main pump and the nuclear power unit.
[0005] To achieve the above and other related objectives, the present invention provides a method for evaluating the operational reliability of a main pump, comprising: acquiring, in real time, the current operating parameters of each sub-component of the main pump during operation; wherein the sub-components of the main pump include at least a motor, a hydraulic component, and a mechanical seal assembly; normalizing the operating parameters to map all operating parameters to a preset range to obtain several intermediate parameter values; multiplying all intermediate parameter values together, and determining the reliability index of the main pump at the current moment based on the product and a preset correction factor, so as to generate a reliability fluctuation curve of the main pump based on the continuous reliability index.
[0006] According to a specific embodiment of the present invention, the step of normalizing the operating parameters to map all operating parameters to a preset range and obtain several intermediate parameter values includes: normalizing all operating parameters using a fuzzy membership function to obtain several intermediate parameter values.
[0007] According to a specific embodiment of the present invention, after normalizing the operating parameters, the method further includes: identifying whether the intermediate parameter value corresponding to the operating parameter is within a preset danger range; if so, assigning the intermediate parameter value to a specified parameter value.
[0008] According to a specific embodiment of the present invention, the correction factor is dynamically adjusted according to the current operating conditions of the main pump.
[0009] According to a specific embodiment of the present invention, the reliability index is calculated according to the following formula: ,in, This indicates the reliability index. The preset coefficients, This represents the product of all intermediate parameter values. This represents the correction factor.
[0010] According to a specific embodiment of the present invention, the step of multiplying all intermediate parameter values and determining the reliability index of the main pump at the current moment based on the product and a preset correction factor, so as to generate the reliability fluctuation curve of the main pump based on the continuous reliability index, includes: optimizing the reliability index according to a preset time decay factor, so as to generate the reliability fluctuation curve of the main pump based on the optimized reliability index.
[0011] According to a specific embodiment of the present invention, the optimized reliability index is calculated according to the following formula: ,in, This represents the optimized reliability index. This represents the preset time decay factor. This indicates the historical health status of the main pump.
[0012] The present invention also provides a system for evaluating the operational reliability of a main pump, comprising: a data acquisition module for acquiring, in real time, the current operating parameters of each sub-component of the main pump during operation; wherein the sub-components of the main pump include at least a motor, a hydraulic component, and a mechanical seal assembly; a parameter normalization module for normalizing the operating parameters to map all operating parameters to a preset range, thereby obtaining several intermediate parameter values; and a reliability evaluation module for multiplying all intermediate parameter values and determining the reliability index of the main pump at the current moment based on the product and a preset correction factor, thereby generating a reliability fluctuation curve of the main pump based on the continuous reliability index.
[0013] An electronic device includes a processor coupled to a memory storing program instructions that, when executed by the processor, implement the method described above.
[0014] A computer-readable storage medium includes a program that, when run on a computer, causes the computer to perform the methods described above.
[0015] The beneficial effects of the present invention are as follows: The present invention constructs a nonlinear coupling evaluation model based on the series failure mechanism by multiplying the multidimensional operating parameters during the operation of the main pump. This model can highlight the decisive influence of the deterioration of a single key parameter on the overall reliability of the main pump and more realistically reflect the physical coordination and failure correlation between sub-components such as motors, hydraulic components and mechanical seal assemblies.
[0016] Meanwhile, this invention also introduces a correction factor and a time decay factor that are dynamically adjusted according to the operating conditions, so that the reliability index can adapt to the state changes of the main pump in different operating stages and maintain a smooth transition, ultimately generating a continuous reliability fluctuation curve, which significantly improves the accuracy, robustness and early fault warning capability of the evaluation results. Attached Figure Description
[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.
[0018] Figure 1 This is a flowchart illustrating a method for evaluating the operational reliability of a main pump according to one embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a main pump operation reliability assessment system provided in one embodiment of the present invention; Figure 3 This is a structural block diagram of an electronic device provided in one embodiment of the present invention. Detailed Implementation
[0019] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.
[0020] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.
[0021] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, publicly known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.
[0022] Example 1 Please see Figure 1 The method for evaluating the operational reliability of a main pump, as shown, includes: Step S100: During the operation of the main pump, the current operating parameters of each sub-component of the main pump are acquired in real time; wherein, the sub-component of the main pump includes at least a motor, hydraulic components, and mechanical seal assembly.
[0023] In practical applications, the hydraulic components of the main pump are mainly used to achieve liquid pressurization, transportation and energy conversion. They generally include impeller, pump casing, guide vanes / diffuser, suction guide components, sealing ring, shaft sleeve and other supporting components.
[0024] Mechanical seal assemblies, as the core of dynamic sealing at the shaft end, often adopt a three-stage tandem shaft seal in nuclear power applications. This includes a core friction pair, elastic compensation mechanism, auxiliary sealing elements, transmission and fastening components, as well as sealing water system interfaces, cooling / flushing channels, throttling devices, leakage monitoring interfaces, and pressure-bearing shells, thus adapting to high-temperature, high-pressure, and radioactive media conditions.
[0025] Accordingly, by monitoring the operating conditions of each sub-component of the main pump in real time, multi-dimensional operating parameters of the main pump can be obtained, such as bearing temperature, stator temperature, vibration value, shaft displacement, flow rate, and pressure. It is understood that the operating parameters of the main pump obtained in this application refer to relevant data that characterize the reliability of the main pump, and not all relevant parameters of the main pump are included in the scope of consideration. Modifications and refinements made by those skilled in the art to the embodiments of this invention without departing from the spirit of this invention still fall within the scope of this invention application.
[0026] Step S200: Normalize the operating parameters to map all operating parameters to a preset range and obtain several intermediate parameter values.
[0027] Furthermore, after obtaining the multidimensional operating parameters of the main pump, they need to be normalized to unify the dimensional differences between different parameters.
[0028] Preferably, the operating parameters of the main pump can be mapped to [0, 1] using a fuzzy membership function, thereby obtaining several intermediate parameter values related to the reliability of the main pump.
[0029] In particular, considering that some extreme parameter values can directly reflect the current abnormal state of the main pump, targeted value assignment can be performed to enhance the reliability characterization effect of such dangerous characteristics. For example, for any intermediate parameter value, if it falls within a preset dangerous range (such as 0-0.05), the parameter value can be directly reassigned to 0.
[0030] Based on this, an additional warning interval can be set. When any intermediate parameter value falls within the preset warning interval, the reliability characterization effect of that parameter value can be re-optimized using a piecewise linear interpolation function to attenuate it. Furthermore, when any intermediate parameter value falls within the preset ideal interval, it fully indicates that a certain sub-component of the main pump is currently operating reliably, and the parameter value can be directly assigned a value of 1. No further restrictions are placed on this. Modifications and refinements made by those skilled in the art to the embodiments of this invention without departing from the spirit of this invention still fall within the scope of the invention application.
[0031] It is understandable that the above example only maps the multidimensional operating parameters of the main pump to [0, 1]. The corresponding values are also adjusted accordingly. Depending on the actual situation, the operating parameters of the main pump can also be mapped to other intervals, and there are no restrictions on this.
[0032] In one specific embodiment, taking bearing temperature as an example, the fuzzy membership function can be designed as follows: .
[0033] Step S300: Multiply all intermediate parameter values together, and determine the reliability index of the main pump at the current moment based on the product and a preset correction factor, so as to generate the reliability fluctuation curve of the main pump based on the continuous reliability index.
[0034] It is understandable that the linear weighted method, which obtains the evaluation result by summing the main pump's operating parameters according to their corresponding weighting coefficients, has the following drawbacks: First, this method ignores the weakest link effect and fails to reflect the decisive impact of the deterioration of a single key parameter on the overall reliability of the main pump. It is prone to the problem of "high total score masking hidden dangers", which leads to the failure to identify potential faults in time, and thus causes main pump failure or even unplanned shutdown of nuclear power units. Secondly, this method treats each operating parameter as an independent variable, without considering the physical correlation and synergistic effect between the parameters, and cannot accurately reflect the overall and complex operating status of the main pump. The evaluation results deviate significantly from the actual operating reliability of the main pump. Third, the correction mechanism of this method is too simple and it is difficult to dynamically adapt to the complex operating conditions of the main pump, such as high temperature, high pressure, strong radiation and high corrosion. The evaluation results are not robust enough and cannot achieve accurate control over the reliability of the main pump operation.
[0035] Therefore, this application uses a nonlinear coupling operator to calculate the reliability index of the main pump based on the series failure mechanism. That is, by multiplying all the above intermediate parameter values together, the reliability of the main pump is characterized by the product.
[0036] The baseline reliability can be calculated using the following formula. : , in, This represents the value of the i-th intermediate parameter.
[0037] Simultaneously, a correction factor is introduced to determine the reliability index of the main pump in conjunction with the baseline reliability, namely:
[0038] in, This indicates the reliability index of the main pump. The preset coefficient (can be set to 100 when the intermediate parameter value is mapped to [0, 1]). This indicates a preset correction factor, which is based on standards provided by the equipment design and manufacturing unit, or national or industry standards, combined with expert opinions and operational practices to convert certain states into a fixed numerical quantity, and is dynamically adjusted according to the current operating conditions of the main pump (such as start-up and shutdown phases, steady-state operation, low-load operation, etc.).
[0039] For example, when a "seal leakage" failure event is detected, The reliability score will be automatically deducted, i.e. Alternatively, if the main pump is in the startup phase, the impact of vibration factors on the main pump is reduced, and it can be... The deductions for vibration-related items will be dynamically adjusted, such as adjusting them to 50% of the original value, etc.
[0040] Furthermore, to enhance the stability of the above reliability assessment, a time decay factor can be introduced to optimize the reliability indicators, as detailed below: , in, This represents the optimized reliability index. This represents the preset time decay factor, and To ensure a smooth transition in reliability metrics and avoid abrupt changes, This indicates the historical health status of the main pump.
[0041] Ultimately, a corresponding fluctuation curve can be generated based on the continuous reliability indicators of the main pump, thereby fully reflecting the reliability fluctuation of the main pump during operation, which is beneficial for maintenance personnel to maintain the main pump.
[0042] It should be noted that the steps of the various methods described above are only for clarity. In practice, they can be combined into one step or some steps can be split into multiple steps. As long as they contain the same logical relationship, they are all within the scope of protection of this patent. Adding insignificant modifications or introducing insignificant designs to the algorithm or process, but without changing the core design of the algorithm and process, are also within the scope of protection of this patent.
[0043] Example 2 Please see Figure 2 As shown, this application also provides a system for evaluating the operational reliability of a main pump, comprising: The data acquisition module 10 is used to acquire the current operating parameters of each sub-component of the main pump in real time during the operation of the main pump; wherein the sub-component of the main pump includes at least a motor, a hydraulic component, and a mechanical seal assembly.
[0044] The parameter normalization module 20 is used to normalize the running parameters to map all running parameters to a preset range and obtain several intermediate parameter values.
[0045] The reliability assessment module 30 is used to multiply all intermediate parameter values and determine the reliability index of the main pump at the current moment based on the product and a preset correction factor, so as to generate the reliability fluctuation curve of the main pump based on the continuous reliability index.
[0046] It should be noted that the main pump operation reliability evaluation system provided in the above embodiments and the main pump operation reliability evaluation method provided in Embodiment 1 belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the main pump operation reliability evaluation method provided in Embodiment 1 can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above, and no limitation is imposed here.
[0047] Example 3 Please see Figure 3 As shown, this application also provides an electronic device, including a memory 2, a processor 1, and a program stored in the memory and executable on the processor, wherein the processor executes the steps of any of the methods described above.
[0048] The memory includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory, magnetic storage, disk, optical disk, etc. In some embodiments, the memory can be an internal storage unit of an electronic device, such as a portable hard drive. In other embodiments, the memory can be an external storage device of the electronic device, such as a plug-in portable hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, Flash Card, etc. Furthermore, the memory can include both internal and external storage units of the electronic device. The memory can be used not only to store application software and various types of data installed on the electronic device, but also to temporarily store data that has been output or will be output.
[0049] In some embodiments, the processor may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits packaged with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory and calls data stored in the memory to perform various functions and process data of the electronic device. The processor executes the operating system and various installed application programs of the electronic device. The processor executes the application programs to implement the steps in the above method embodiments.
[0050] For example, the program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of program instruction segments capable of performing a specific function, which describe the execution process of the program in the electronic device.
[0051] The integrated unit implemented as a software functional module described above can be stored in a computer-readable storage medium. This software functional module, stored in a storage medium, includes several instructions to cause a computer device (which may be a personal computer, computer equipment, or network device, etc.) or processor to execute some of the functions of the various embodiments of the present invention.
[0052] In summary, this invention constructs a nonlinear coupled evaluation model based on a series failure mechanism by multiplying the multidimensional operating parameters during the operation of the main pump. This model can highlight the decisive impact of the deterioration of a single key parameter on the overall reliability of the main pump and more realistically reflect the physical coordination and failure correlation among sub-components such as motors, hydraulic components, and mechanical seal assemblies.
[0053] Meanwhile, this invention also introduces a correction factor and a time decay factor that are dynamically adjusted according to the operating conditions, so that the reliability index can adapt to the state changes of the main pump in different operating stages and maintain a smooth transition, ultimately generating a continuous reliability fluctuation curve, which significantly improves the accuracy, robustness and early fault warning capability of the evaluation results.
[0054] The operational reliability assessment method provided by this invention is only analyzed and explained using the main pump of a nuclear power plant as an example, but it is equally applicable to the quantitative assessment of the reliability of other equipment, and there is no limitation thereto.
[0055] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.
Claims
1. A method of evaluating the reliability of operation of a main pump, characterized by, include: During the operation of the main pump, the current operating parameters of each sub-component of the main pump are acquired in real time; wherein, the sub-component of the main pump includes at least a motor, hydraulic components, and mechanical seal assembly; The operating parameters are normalized to map all operating parameters to a preset range, resulting in several intermediate parameter values. All intermediate parameter values are multiplied together, and the reliability index of the main pump at the current moment is determined based on the product and a preset correction factor, so as to generate the reliability fluctuation curve of the main pump based on the continuous reliability index.
2. The method for evaluating the operational reliability of the main pump according to claim 1, characterized in that, The steps of normalizing the operating parameters to map all operating parameters to a preset range and obtain several intermediate parameter values include: All operating parameters are normalized using fuzzy membership functions to obtain several intermediate parameter values.
3. The method for evaluating the operational reliability of the main pump according to claim 1, characterized in that, After normalizing the operating parameters, the process also includes: Identify whether the intermediate parameter values corresponding to the operating parameters are within a preset danger range: If so, the intermediate parameter value is assigned the specified parameter value.
4. The method for evaluating the operational reliability of the main pump according to claim 1, characterized in that, The correction factor is dynamically adjusted according to the current operating conditions of the main pump.
5. The method for evaluating the operational reliability of the main pump according to claim 1, characterized in that, The reliability index is calculated using the following formula: , in, This indicates the reliability index. The preset coefficients, This represents the product of all intermediate parameter values. This represents the correction factor.
6. The method for evaluating the operational reliability of the main pump according to claim 1, characterized in that, The steps of multiplying all intermediate parameter values together and determining the reliability index of the main pump at the current moment based on the product and a preset correction factor, and generating the reliability fluctuation curve of the main pump based on the continuous reliability index, include: The reliability index is optimized based on a preset time decay factor, so as to generate the reliability fluctuation curve of the main pump based on the optimized reliability index.
7. The method for evaluating the operational reliability of the main pump according to claim 6, characterized in that, The optimized reliability index is calculated using the following formula: , in, This represents the optimized reliability index. This represents the preset time decay factor. This indicates the historical health status of the main pump.
8. A system for evaluating the operational reliability of a main pump, characterized in that, include: The data acquisition module is used to acquire the current operating parameters of each sub-component of the main pump in real time during the operation of the main pump; wherein, the sub-component of the main pump includes at least a motor, hydraulic components, and a mechanical seal assembly; The parameter normalization module is used to normalize the running parameters so as to map all running parameters to a preset range and obtain several intermediate parameter values. The reliability assessment module is used to multiply all intermediate parameter values and determine the reliability index of the main pump at the current moment based on the product and a preset correction factor, so as to generate the reliability fluctuation curve of the main pump based on the continuous reliability index.
9. An electronic device, characterized in that, The method includes a processor coupled to a memory storing program instructions, which, when executed by the processor, implement the method of any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, Includes a program that, when run on a computer, causes the computer to perform the method as described in any one of claims 1-7.