A nuclear power plant important service water system hierarchical health assessment method based on device commissioning state gating
Patent Information
- Application Number
- CN202610993686.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-06
- Publication Date
- 2026-09-29
AI Technical Summary
[0006]为了解决现有技术中未结合设备投运状态确定参与聚合对象、难以形成分层健康评价关系的问题，本发明提出了以下方案：
通过获取实时运行监测数据、设计基准数据以及设备投运状态数据，并基于实时运行监测数据和设计基准数据分别计算重要厂用水泵、贝类捕集器和板式换热器中各单台设备的单设备健康评分，能够使单台设备健康评分与对应设备的实际运行参数和基准状态相对应，从而为后续设备类别健康评分和系统健康评分提供数据基础。
Smart Images
Figure CN122839201A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of status monitoring, equipment health assessment and intelligent operation and maintenance technology of important plant water systems in nuclear power plants, and specifically involves a hierarchical health assessment technology for important plant water systems in nuclear power plants based on equipment commissioning status gating. Background Technology
[0002] As nuclear power plant equipment maintenance methods gradually shift from periodic and corrective maintenance to condition-based and predictive maintenance, quantitative assessment of equipment health status has become a crucial foundation for operational monitoring and maintenance decision-making. The critical plant water system in a nuclear power plant undertakes functions related to cooling and the final heat sink. This system typically includes critical plant water pumps, shellfish traps, and plate heat exchangers, with different equipment corresponding to different functional aspects such as water supply, filtration, and heat exchange.
[0003] Existing equipment health assessment methods typically acquire equipment operating parameters, historical data, or design baseline data, compare the actual operating status with thresholds, design values, or health baseline values, and obtain equipment health scores through methods such as weight allocation, membership calculation, fuzzy comprehensive evaluation, or multi-indicator fusion. Some methods also establish comprehensive evaluation models at the equipment and system levels to achieve online monitoring and health assessment of the operating status of nuclear power plant equipment or power plant equipment.
[0004] However, for critical plant water systems in nuclear power plants, relying solely on the operating parameters of individual devices or alarm thresholds at single monitoring points is insufficient to reflect the overall health status of the system. These systems are characterized by multiple devices and redundant operation, with similar devices potentially in different states such as operational, standby, or shutdown. Including both operational and non-operational devices in the same category during health scoring calculations can easily cause the health scores for each device category to deviate from the actual operating conditions. Conversely, assessing only operational devices individually makes it difficult to establish a continuous evaluation relationship between individual device health scores, device category health scores, system functional health scores, and the overall health score of the critical plant water system.
[0005] Therefore, the health assessment of important plant water systems in nuclear power plants needs to combine the equipment commissioning status to determine the set of equipment participating in the aggregation of health scores of similar equipment, and on this basis, form a hierarchical evaluation relationship from the individual equipment health scores of important plant water pumps, shellfish traps and plate heat exchangers to equipment category health scores, system function health scores and the total health score of important plant water systems. Summary of the Invention
[0006] To address the problems in existing technologies where the determination of aggregation participants is not based on equipment operational status, making it difficult to establish hierarchical health assessment relationships, this invention proposes the following solution: A hierarchical health assessment method for critical plant water systems in nuclear power plants based on equipment commissioning status gating includes: S1. Obtain real-time operation monitoring data, design baseline data, and equipment commissioning status data of important plant water systems in nuclear power plants; S2. Based on real-time operation monitoring data and design baseline data, calculate the individual equipment health score of each unit in the important plant water pumps, shellfish traps and plate heat exchangers respectively. S3. Set the status gating variables for each individual device based on the device commissioning status data, and determine the set of devices participating in the health score aggregation of similar devices through the status gating variables. Devices that are not in operation do not participate in the health score aggregation of similar devices. S4. Aggregate the health scores of individual devices in the set of devices participating in the aggregation of health scores of similar devices to obtain the health scores of pumps, shellfish traps and plate heat exchangers as equipment category health scores. S5. Calculate the system functional health score based on the pump health score, shellfish trap health score, and plate heat exchanger health score, and calculate the overall health score of the important plant water system based on the pump health score, shellfish trap health score, plate heat exchanger health score, and system functional health score. S6. The output includes a stratified health assessment result comprising individual equipment health scores, equipment category health scores, system function health scores, and overall health scores for important plant water systems.
[0007] Furthermore, the real-time operation monitoring data mentioned in S1 includes the operating parameters of important plant water pumps, shellfish traps, and plate heat exchangers; Design baseline data includes the rated parameters, design values, or health baseline values of each individual device; Equipment commissioning status data is used to characterize whether each individual piece of equipment is currently actually participating in system operation.
[0008] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: A set of health evaluation indicators reflecting deviations in water supply capacity and hydraulic performance was constructed for important plant water pumps. A set of health evaluation indicators reflecting filtration resistance and clogging degree was constructed for shellfish traps; A set of health evaluation indicators was constructed for plate heat exchangers to reflect changes in heat exchange capacity, heat exchange efficiency, temperature response, and flow resistance.
[0009] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: Based on the health evaluation index set for each individual device, determine the real-time monitoring value and benchmark value corresponding to each evaluation index; According to the evaluation direction of each evaluation indicator, the changes in real-time monitoring values relative to the benchmark value are converted into the degree of deviation of the evaluation indicator, so that each evaluation indicator meets the evaluation direction that the greater the degree of deviation, the worse the health status.
[0010] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: Construct a membership function based on the degree of deviation of each evaluation indicator and the preset health level; The membership degree of each evaluation index to different health levels is determined by the membership function, forming a fuzzy relation matrix for each individual device. The weight vector for each individual device is determined based on the consistency test results of the judgment matrix.
[0011] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: The weight vector of the corresponding single device is combined with the fuzzy relation matrix to obtain the comprehensive membership vector of the corresponding single device. The individual device health score is calculated based on the comprehensive membership vector and the health level score set.
[0012] Furthermore, S3, which involves setting the status gating variables for each individual device based on the device's operational status data, includes: When the equipment commissioning status data indicates that the corresponding single device is actually participating in the system operation, the status gating variable of the corresponding single device is set to the participation aggregation status. When the equipment commissioning status data indicates that the corresponding single device is not actually participating in the system operation, the status gating variable of the corresponding single device is set to not participate in the aggregation status. Devices in the aggregation state participate in the aggregation of health scores for similar devices, while devices in the non-aggregation state do not participate in the aggregation of health scores for similar devices.
[0013] Furthermore, S4, which describes aggregating the health scores of individual devices within a set of devices participating in the aggregation of health scores for similar devices, includes: When there are devices in the same type of equipment that participate in the aggregation of health scores for the same type of equipment, the health scores of the individual devices participating in the aggregation of health scores for the same type of equipment are averaged or weighted to obtain the corresponding equipment category health score. When no device of the same type participates in the health score aggregation of the same type of devices, an abnormal status indicator is triggered.
[0014] Furthermore, S5 describes calculating the system functional health score based on the pump health score, shellfish trap health score, and plate heat exchanger health score, and calculating the overall health score of the important plant water system based on the pump health score, shellfish trap health score, plate heat exchanger health score, and system functional health score, including: Determine the weights of the system functional layers based on the system functional requirements; The health scores of pumps, shellfish traps, and plate heat exchangers are used as inputs for system function evaluation, and the system function health score is calculated by combining the weights of the system function layers. The health scores of pumps, shellfish traps, plate heat exchangers, and system functions are used as system-level inputs, and the overall health score of important plant water systems is calculated by combining the system-level weights.
[0015] Based on the same inventive concept, the present invention also proposes a computer storage medium that stores a computer program, which, when executed by a processor, implements the above-described method.
[0016] Compared with the prior art, the present invention has the following beneficial effects: By acquiring real-time operation monitoring data, design baseline data, and equipment commissioning status data, and calculating the individual equipment health scores of each unit in important plant water pumps, shellfish traps, and plate heat exchangers based on the real-time operation monitoring data and design baseline data, the health scores of individual equipment can be correlated with the actual operating parameters and baseline status of the corresponding equipment, thus providing a data foundation for subsequent equipment category health scores and system health scores.
[0017] By setting status gating variables for each individual device based on the device's operational status data, and using these status gating variables to determine the set of devices participating in the health score aggregation of similar devices, non-operational devices are excluded from the health score aggregation of similar devices. This reduces the impact of non-operational devices on the health score calculation of similar devices, thereby reducing the distortion of health scores caused by inconsistent device operational status.
[0018] By aggregating the health scores of individual devices in a set of devices participating in the aggregation of health scores for similar devices, we can obtain health scores for pumps, shellfish traps, and plate heat exchangers as equipment category health scores. This allows us to group the health status of individual devices into their corresponding equipment categories, thereby forming equipment category health evaluation results that correspond to the equipment components of important plant water systems.
[0019] By calculating the system functional health score based on the health scores of pumps, shellfish traps, and plate heat exchangers, and then calculating the overall health score of the important plant water system based on these scores, an evaluation relationship can be established between equipment category health scores, system functional health scores, and the overall system health score. This allows the overall health score of the important plant water system to reflect the overall health status of the system under the current equipment operating conditions.
[0020] By outputting hierarchical health assessment results that include individual equipment health scores, equipment category health scores, system function health scores, and overall health scores for important plant water systems, the health status of individual equipment, equipment categories, system functions, and the overall system can be presented simultaneously, thereby improving the hierarchical consistency of health assessment results.
[0021] This invention features a hierarchical health assessment that combines equipment commissioning status, which can reduce scoring distortion caused by non-commissioned equipment participating in the aggregation of health scores for similar equipment. It also establishes an evaluation relationship between individual equipment health scores, equipment category health scores, system function health scores, and the overall health score of important plant water systems. This invention is applicable to fields such as status monitoring of important plant water systems in nuclear power plants, equipment health assessment, and intelligent operation and maintenance. Attached Figure Description
[0022] Figure 1 This is a flowchart illustrating the method described in the implementation method; Figure 2 This is a diagram of the important plant water system health evaluation index system described in the implementation method; Figure 3 This is a schematic diagram of the equipment commissioning status gating and health aggregation of similar equipment as described in the implementation method. Detailed Implementation
[0023] The technical solutions in the embodiments of the present invention will now be clearly and completely described in conjunction with the accompanying drawings.
[0024] Implementation Method 1 like Figure 1 As shown, a hierarchical health assessment method for critical plant water systems in nuclear power plants based on equipment commissioning status gating includes: S1. Obtain real-time operation monitoring data, design baseline data, and equipment commissioning status data of important plant water systems in nuclear power plants; S2. Based on real-time operation monitoring data and design baseline data, calculate the individual equipment health score of each unit in the important plant water pumps, shellfish traps and plate heat exchangers respectively. S3. Set the status gating variables for each individual device based on the device commissioning status data, and determine the set of devices participating in the health score aggregation of similar devices through the status gating variables. Devices that are not in operation do not participate in the health score aggregation of similar devices. S4. Aggregate the health scores of individual devices in the set of devices participating in the aggregation of health scores of similar devices to obtain the health scores of pumps, shellfish traps and plate heat exchangers as equipment category health scores. S5. Calculate the system functional health score based on the pump health score, shellfish trap health score, and plate heat exchanger health score, and calculate the overall health score of the important plant water system based on the pump health score, shellfish trap health score, plate heat exchanger health score, and system functional health score. S6. The output includes a stratified health assessment result comprising individual equipment health scores, equipment category health scores, system function health scores, and overall health scores for important plant water systems.
[0025] By acquiring real-time operation monitoring data, design baseline data, and equipment commissioning status data, and forming hierarchical evaluation results among single equipment health scores, equipment category health scores, system function health scores, and overall health scores of important plant water systems, the health evaluation results can simultaneously correspond to equipment operating parameters, equipment commissioning status, and system hierarchical relationships.
[0026] Furthermore, the real-time operation monitoring data mentioned in S1 includes the operating parameters of important plant water pumps, shellfish traps, and plate heat exchangers; Design baseline data includes the rated parameters, design values, or health baseline values of each individual device; Equipment commissioning status data is used to characterize whether each individual piece of equipment is currently actually participating in system operation.
[0027] By acquiring operating parameters, design baseline data, and equipment commissioning status data respectively, data sources can be provided for calculating the health score of a single device and setting status gating variables.
[0028] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: A set of health evaluation indicators reflecting deviations in water supply capacity and hydraulic performance was constructed for important plant water pumps. A set of health evaluation indicators reflecting filtration resistance and clogging degree was constructed for shellfish traps; A set of health evaluation indicators was constructed for plate heat exchangers to reflect changes in heat exchange capacity, heat exchange efficiency, temperature response, and flow resistance.
[0029] By constructing health evaluation index sets according to the equipment types of important plant water pumps, shellfish traps, and plate heat exchangers, the health score of a single piece of equipment can be correlated with the functions performed by different pieces of equipment.
[0030] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: Based on the health evaluation index set for each individual device, determine the real-time monitoring value and benchmark value corresponding to each evaluation index; According to the evaluation direction of each evaluation indicator, the changes in real-time monitoring values relative to the benchmark value are converted into the degree of deviation of the evaluation indicator, so that each evaluation indicator meets the evaluation direction that the greater the degree of deviation, the worse the health status.
[0031] By converting evaluation indicators with different evaluation directions into a unified degree of deviation, different types of evaluation indicators can have a consistent evaluation direction in the calculation of single-device health scores.
[0032] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: Construct a membership function based on the degree of deviation of each evaluation indicator and the preset health level; The membership degree of each evaluation index to different health levels is determined by the membership function, forming a fuzzy relation matrix for each individual device. The weight vector for each individual device is determined based on the consistency test results of the judgment matrix.
[0033] Preferably, the preset health levels include excellent, good, average, poor, and failed.
[0034] By constructing a membership function based on the degree of deviation and a preset health level, and combining it with a weight vector to form the evaluation basis for a single device, multiple evaluation indicators can be converted into evaluation results for calculating the health score of a single device.
[0035] Furthermore, S2 describes calculating the individual health score of each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: The weight vector of the corresponding single device is combined with the fuzzy relation matrix to obtain the comprehensive membership vector of the corresponding single device. The individual device health score is calculated based on the comprehensive membership vector and the health level score set.
[0036] By using weight vectors, fuzzy relation matrices, and health level score sets to calculate the health score of a single device, multiple evaluation indicators of a single device can be integrated into a single device health score.
[0037] Furthermore, S3, which involves setting the status gating variables for each individual device based on the device's operational status data, includes: When the equipment commissioning status data indicates that the corresponding single device is actually participating in the system operation, the status gating variable of the corresponding single device is set to the participation aggregation status. When the equipment commissioning status data indicates that the corresponding single device is not actually participating in the system operation, the status gating variable of the corresponding single device is set to not participate in the aggregation status. Devices in the aggregation state participate in the aggregation of health scores for similar devices, while devices in the non-aggregation state do not participate in the aggregation of health scores for similar devices.
[0038] Preferably, devices that are not participating in aggregation retain default scores, historical scores, or only record status information.
[0039] By setting status gating variables based on equipment commissioning status data, and preventing equipment that does not actually participate in system operation from participating in the health score aggregation of similar equipment, it is possible to make the set of equipment participating in the aggregation correspond to the current equipment commissioning status.
[0040] Furthermore, S4, which describes aggregating the health scores of individual devices within a set of devices participating in the aggregation of health scores for similar devices, includes: When there are devices in the same type of equipment that participate in the aggregation of health scores for the same type of equipment, the health scores of the individual devices participating in the aggregation of health scores for the same type of equipment are averaged or weighted to obtain the corresponding equipment category health score. When no device of the same type participates in the health score aggregation of the same type of devices, an abnormal status indicator is triggered.
[0041] By averaging or weighting the health scores of individual devices in a set of devices participating in the aggregation of health scores for the same type of devices, a health score for the device category corresponding to the currently operating device can be obtained.
[0042] Furthermore, S5 describes calculating the system functional health score based on the pump health score, shellfish trap health score, and plate heat exchanger health score, and calculating the overall health score of the important plant water system based on the pump health score, shellfish trap health score, plate heat exchanger health score, and system functional health score, including: Determine the weights of the system functional layers based on the system functional requirements; The health scores of pumps, shellfish traps, and plate heat exchangers are used as inputs for system function evaluation, and the system function health score is calculated by combining the weights of the system function layers. The health scores of pumps, shellfish traps, plate heat exchangers, and system functions are used as system-level inputs, and the overall health score of important plant water systems is calculated by combining the system-level weights.
[0043] By using the health scores of pumps, shellfish traps, and plate heat exchangers as inputs for system function evaluation, and the health scores of equipment categories and system functions as system-level inputs, an evaluation relationship can be formed among the health scores of equipment categories, system functions, and the overall health score of important plant water systems.
[0044] The method described in this embodiment can be executed by a processor calling a computer program, which can be stored in a computer storage medium. When the computer program is executed by the processor, the above-mentioned hierarchical health assessment method for critical plant water systems in nuclear power plants based on equipment commissioning status gating can be implemented.
[0045] Implementation Method 2 This implementation method uses a stratified health assessment of critical plant water pumps, shellfish traps, and plate heat exchangers in a nuclear power plant's critical plant water system as a specific example, combined with... Figures 1 to 3 This paper describes a hierarchical health assessment method for critical plant water systems in nuclear power plants based on equipment commissioning status gating.
[0046] like Figure 1 As shown, real-time operational monitoring data, design baseline data, and equipment commissioning status data of the important plant water systems of nuclear power plants are obtained. Real-time operational monitoring data includes operating parameters of important plant water pumps, shellfish traps, and plate heat exchangers. Design baseline data includes rated parameters, design values, health baseline values, or limits for each individual device. Equipment commissioning status data is used to characterize whether each individual device is currently actually participating in system operation.
[0047] Combination Figure 2 A set of health evaluation indicators was constructed based on the equipment types of important plant water pumps, shellfish traps, and plate heat exchangers. Specifically, a set of health evaluation indicators reflecting deviations in water supply capacity and hydraulic performance was constructed for important plant water pumps; a set reflecting filtration resistance and clogging degree was constructed for shellfish traps; and a set reflecting changes in heat exchange capacity, heat exchange efficiency, temperature response, and flow resistance was constructed for plate heat exchangers.
[0048] Based on the health evaluation index set of each individual device, the real-time monitoring value and benchmark value corresponding to each evaluation index are determined. According to the evaluation direction of each evaluation index, the change of the real-time monitoring value relative to the benchmark value is converted into the degree of deviation of the evaluation index, so that each evaluation index meets the evaluation direction that the greater the degree of deviation, the worse the health status.
[0049] For the j-th evaluation index in the parameter layer, its relative deviation is expressed as:
[0050] In the formula, For the first The degree of deviation of each evaluation indicator This is the real-time monitoring value of this indicator. This refers to the design value, rated value, or health benchmark value corresponding to the indicator. For indicators where a larger value indicates a worse health status, the deviation value can be used directly for evaluation; for indicators where a larger value indicates a better health status, a directional unification process can be performed first to ensure that all indicators meet the evaluation direction of "the greater the deviation, the worse the health status".
[0051] Based on the deviation degree of each evaluation indicator and the preset health level, a membership function is constructed. The membership degree of each evaluation indicator with respect to different health levels is determined through the membership function, forming a fuzzy relation matrix for each individual device. The preset health levels include excellent, good, moderate, poor, and failed. Let the... The evaluation index is for the first The membership degree of each health level is Then the first The fuzzy relation matrix of the evaluation objects is as follows:
[0052] In the formula, For the first The fuzzy relation matrix of the evaluation objects. For the number of indicators, The number of evaluation levels is given, and the following conditions are met:
[0053] When determining the weight vector for a single device, a judgment matrix is constructed based on the upper-level evaluation objective:
[0054] In the formula, This indicates that, relative to the higher-level evaluation target, the first... The first indicator is relative to the first The importance scale value of each indicator.
[0055] The judgment matrix satisfies:
[0056]
[0057] For the judgment matrix Perform eigenvalue solving:
[0058] In the formula, To determine the largest eigenvalue of a matrix, This represents the corresponding feature vector. Normalizing the feature vector yields the weight vector:
[0059] in:
[0060] To ensure the judgment matrix has reasonable consistency, a consistency index is calculated. and consistency ratio :
[0061]
[0062] In the formula, This is a random consistency indicator. When... When the judgment matrix is considered to meet the consistency requirement, the corresponding weight vector can be used for subsequent health score calculation.
[0063] After determining the weight vector and constructing the fuzzy relation matrix, the weight vector and fuzzy relation matrix of the corresponding single device are combined to obtain the comprehensive membership vector of the corresponding single device. For the first... The comprehensive membership vector for each evaluation object is:
[0064] Right now:
[0065] In the formula, This indicates that the evaluation object belongs to the first... The overall membership degree of each health level. Combined with the health level score set. Calculate the health score of the evaluated subject:
[0066] Right now:
[0067] For a single device Its health score can be expressed as:
[0068] In the formula, For the first Health score of the device. This is the overall membership vector of the device.
[0069] Combination Figure 3Based on the equipment commissioning status data, set the status gating variables for each individual device. When the equipment commissioning status data indicates that the corresponding individual device is actually participating in system operation, set the status gating variable for that individual device to "participate in aggregation"; when the equipment commissioning status data indicates that the corresponding individual device is not actually participating in system operation, set the status gating variable for that individual device to "not participate in aggregation". Devices in the "participate in aggregation" state participate in the aggregation of health scores for similar devices, while devices in the "not participate in aggregation" state do not participate in the aggregation of health scores for similar devices. Devices in the "not participate in aggregation" state retain their default score, historical score, or only record status information.
[0070] At the device category level, the health scores of individual devices within the set of devices participating in the health score aggregation for the same category are aggregated. When there are devices in the same category participating in the health score aggregation, the individual health scores of these devices are averaged or weighted to obtain the corresponding device category health score. When there are no devices in the same category participating in the health score aggregation, an abnormal status flag is triggered.
[0071] For device of type k, its device category health score is represented as:
[0072] In the formula, For the first Health rating of similar devices For the first Total number of equipment of each type For the first Health score of the device. For the first The operational status variables of the equipment.
[0073] Based on the above calculation process for equipment category health scores, the health scores for pumps, shellfish traps, and plate heat exchangers are obtained as equipment category health scores.
[0074] At the system function layer, the system function health score is calculated based on the health scores of pumps, shellfish traps, and plate heat exchangers. The system function health score characterizes the degree to which critical plant water systems meet the functions of water supply, filtration, heat exchange, and final heat sink under the current equipment operating conditions. Using the health scores of pumps, shellfish traps, and plate heat exchangers as inputs for system function evaluation, a system function evaluation vector is constructed:
[0075] Let the system functional layer weight vector be:
[0076] The system's functional health score is:
[0077] At the overall system health layer, the health scores of pumps, shellfish traps, plate heat exchangers, and system functional health are used as inputs to construct a system-level evaluation vector:
[0078] Let the system layer weight vector be:
[0079] The overall health score for important and commonly used water systems is:
[0080] This rating comprehensively reflects the overall health level of important plant water systems under the current equipment operation status, equipment category health status, and system function realization capabilities.
[0081] Finally, the output includes a stratified health assessment result comprising individual device health scores, device category health scores, system function health scores, and the overall health score of the important plant water system. Individual device health scores correspond to the health status of each individual device among the important plant water pumps, shellfish traps, and plate heat exchangers. Device category health scores include pump health scores, shellfish trap health scores, and plate heat exchanger health scores. System function health scores correspond to the system function layer evaluation result of the important plant water system, and the overall health score of the important plant water system corresponds to the overall system health layer evaluation result.
[0082] The embodiments of the present invention have been described above. These embodiments are used to help understand the technical solutions of the present invention and should not be construed as limiting the scope of the technical solutions of the present invention. Equivalent substitutions or conventional modifications made by those skilled in the art to the embodiments without departing from the technical concept of the present invention should all fall within the scope of the technical solutions of the present invention.
Claims
1. A hierarchical health assessment method for critical plant water systems in nuclear power plants based on equipment commissioning status gating, characterized in that, include: S1. Obtain real-time operation monitoring data, design baseline data, and equipment commissioning status data of important plant water systems in nuclear power plants; S2. Based on real-time operation monitoring data and design baseline data, calculate the individual equipment health score of each unit in the important plant water pumps, shellfish traps and plate heat exchangers respectively. S3. Set the status gating variables for each individual device based on the device commissioning status data, and determine the set of devices participating in the health score aggregation of similar devices through the status gating variables. Devices that are not in operation do not participate in the health score aggregation of similar devices. S4. Aggregate the health scores of individual devices in the set of devices participating in the aggregation of health scores of similar devices to obtain the health scores of pumps, shellfish traps and plate heat exchangers as equipment category health scores. S5. Calculate the system functional health score based on the pump health score, shellfish trap health score, and plate heat exchanger health score, and calculate the overall health score of the important plant water system based on the pump health score, shellfish trap health score, plate heat exchanger health score, and system functional health score. S6. The output includes a stratified health assessment result comprising individual equipment health scores, equipment category health scores, system function health scores, and overall health scores for important plant water systems.
2. The method according to claim 1, characterized in that, The real-time operation monitoring data mentioned in S1 includes the operating parameters of important plant water pumps, shellfish traps, and plate heat exchangers; Design baseline data includes the rated parameters, design values, or health baseline values of each individual device; Equipment commissioning status data is used to characterize whether each individual piece of equipment is currently actually participating in system operation.
3. The method according to claim 1, characterized in that, S2 describes the calculation of individual equipment health scores for each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: A set of health evaluation indicators reflecting deviations in water supply capacity and hydraulic performance was constructed for important plant water pumps. A set of health evaluation indicators reflecting filtration resistance and clogging degree was constructed for shellfish traps; A set of health evaluation indicators was constructed for plate heat exchangers to reflect changes in heat exchange capacity, heat exchange efficiency, temperature response, and flow resistance.
4. The method according to claim 3, characterized in that, S2 describes the calculation of individual equipment health scores for each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: Based on the health evaluation index set for each individual device, determine the real-time monitoring value and benchmark value corresponding to each evaluation index; According to the evaluation direction of each evaluation indicator, the changes in real-time monitoring values relative to the benchmark value are converted into the degree of deviation of the evaluation indicator, so that each evaluation indicator meets the evaluation direction that the greater the degree of deviation, the worse the health status.
5. The method according to claim 4, characterized in that, S2 describes the calculation of individual equipment health scores for each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: Construct a membership function based on the degree of deviation of each evaluation indicator and the preset health level; The membership degree of each evaluation index to different health levels is determined by the membership function, forming a fuzzy relation matrix for each individual device. The weight vector for each individual device is determined based on the consistency test results of the judgment matrix.
6. The method according to claim 5, characterized in that, S2 describes the calculation of individual equipment health scores for each unit in the important plant water pumps, shellfish traps, and plate heat exchangers, including: The weight vector of the corresponding single device is combined with the fuzzy relation matrix to obtain the comprehensive membership vector of the corresponding single device. The individual device health score is calculated based on the comprehensive membership vector and the health level score set.
7. The method according to claim 1, characterized in that, S3 describes setting the status gating variables for each individual device based on the device's operational status data, including: When the equipment commissioning status data indicates that the corresponding single device is actually participating in the system operation, the status gating variable of the corresponding single device is set to the participation aggregation status. When the equipment commissioning status data indicates that the corresponding single device is not actually participating in the system operation, the status gating variable of the corresponding single device is set to not participate in the aggregation status. Devices in the aggregation state participate in the aggregation of health scores for similar devices, while devices in the non-aggregation state do not participate in the aggregation of health scores for similar devices.
8. The method according to claim 7, characterized in that, S4 describes the aggregation of single-device health scores within a set of devices participating in the aggregation of similar device health scores, including: When there are devices in the same type of equipment that participate in the aggregation of health scores for the same type of equipment, the health scores of the individual devices participating in the aggregation of health scores for the same type of equipment are averaged or weighted to obtain the corresponding equipment category health score. When no device of the same type participates in the health score aggregation of the same type of devices, an abnormal status indicator is triggered.
9. The method according to claim 1, characterized in that, S5 describes calculating the system functional health score based on the pump health score, shellfish trap health score, and plate heat exchanger health score, and calculating the overall health score of the important plant water system based on the pump health score, shellfish trap health score, plate heat exchanger health score, and system functional health score, including: Determine the weights of the system functional layers based on the system functional requirements; The health scores of pumps, shellfish traps, and plate heat exchangers are used as inputs for system function evaluation, and the system function health score is calculated by combining the weights of the system function layers. The health scores of pumps, shellfish traps, plate heat exchangers, and system functions are used as system-level inputs, and the overall health score of important plant water systems is calculated by combining the system-level weights.
10. A computer storage medium, characterized in that, The computer storage medium stores a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 9.