Nuclear power plant state monitoring method and device, electronic device and storage medium

Abstract

The application relates to the technical field of nuclear power plants, in particular to a nuclear power equipment state monitoring method and device, electronic equipment and a storage medium. According to the nuclear power equipment state monitoring method, nuclear power equipment configuration parameters and sensing equipment configuration parameters corresponding to a target nuclear power equipment are acquired first; in response to the target nuclear power equipment entering an operation state, real-time data collection is carried out on the target nuclear power equipment and associated sensing equipment, and monitoring collection data is obtained; real-time operation state evaluation is carried out on the target nuclear power equipment according to the monitoring collection data, and equipment state evaluation information is obtained; in response to the equipment state evaluation information not satisfying alarm state definition conditions, it is determined that the target nuclear power equipment is in a normal operation state; and in response to the equipment state evaluation information satisfying the alarm state definition conditions, it is determined that the target nuclear power equipment is in an alarm operation state. In the process of nuclear power equipment state monitoring, higher accuracy and reliability can be ensured.

Description

Technical Field

[0001] This application relates to the field of nuclear power plant technology, and in particular to a method and apparatus for monitoring the condition of nuclear power equipment, electronic equipment, and storage medium. Background Technology

[0002] Nuclear power equipment condition monitoring and fault diagnosis systems are crucial technologies for ensuring the safe and reliable operation of equipment in the nuclear power field. They analyze the operating status by monitoring fault characteristic parameters of equipment or structures in real time, promptly detecting anomalies and providing early warnings and diagnoses. The core objective of nuclear power equipment condition monitoring is to utilize digital and intelligent technologies to understand the operating status of nuclear power equipment, enabling the implementation of measures to improve its operating efficiency and reliability, reduce operation and maintenance costs, and ensure the safe and stable operation of the nuclear power plant.

[0003] However, in the process of monitoring the condition of nuclear power equipment, related technologies rely on manual offline monitoring and analysis of key equipment parameters on a regular basis. This method is not only time-consuming and labor-intensive, but also, due to the fixed monitoring cycle, may result in situations where equipment condition deteriorates between monitoring sessions without being detected in time. Furthermore, manual analysis is highly subjective, and inconsistencies may exist in the processing and interpretation of data, making it difficult to guarantee the accuracy and reliability of monitoring results. Summary of the Invention

[0004] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method, apparatus, electronic device, and storage medium for monitoring the condition of nuclear power equipment, which can ensure a higher degree of accuracy and reliability during the monitoring of the condition of nuclear power equipment.

[0005] The nuclear power equipment condition monitoring method according to the first aspect of this application includes: The configuration parameters of the nuclear power equipment corresponding to the target nuclear power equipment and the configuration parameters of the sensor equipment corresponding to the associated sensor equipment are obtained; wherein, the associated sensor equipment is used to monitor the sensor data corresponding to the target nuclear power equipment. Based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment, alarm status definition conditions are determined for the target nuclear power equipment. In response to the target nuclear power equipment entering the operating state, real-time data acquisition is performed on the target nuclear power equipment and the associated sensing equipment to obtain monitoring and acquisition data; Based on the monitoring and collected data, the target nuclear power equipment is evaluated in real time to obtain the current equipment status evaluation information of the target nuclear power equipment. In response to the fact that the equipment status assessment information does not meet the alarm status definition conditions, it is determined that the target nuclear power equipment is in normal operation. In response to the equipment status assessment information satisfying the alarm status definition conditions, the target nuclear power equipment is determined to be in an alarm operation state.

[0006] According to some embodiments of this application, each of the target nuclear power plants is configured with associated sensing devices installed at multiple sensing data measurement points. The real-time data acquisition of the target nuclear power plant and the associated sensing devices to obtain monitoring and acquisition data includes: Real-time operating parameters of the target nuclear power equipment are collected to obtain operational monitoring data. Real-time sensing parameters are collected for each of the sensing data measurement points corresponding to the target nuclear power equipment to obtain sensing monitoring data matching each of the sensing data measurement points; The monitoring data is obtained by integrating the operation monitoring data and the sensor monitoring data matched to each of the sensor data measurement points.

[0007] According to some embodiments of this application, after real-time data acquisition is performed on the target nuclear power equipment and the associated sensing device to obtain monitoring and acquisition data, the method further includes: Display a preset 3D model that matches the target nuclear power equipment; In response to the preset three-dimensional model being subjected to a measurement point query operation, a target query measurement point is determined from a plurality of the sensor data measurement points; Based on the associated sensing device installed at the target query measurement point, target monitoring data is extracted from the monitoring and acquisition data; The target monitoring data is loaded into the monitoring data display bar of the preset three-dimensional model that matches the target query measurement point.

[0008] According to some embodiments of this application, after determining that the target nuclear power equipment is in an alarm operation state in response to the equipment status assessment information satisfying the alarm status definition conditions, the method further includes: Obtain fault analysis instructions; wherein, the fault analysis instructions are used to indicate the fault analysis type, fault analysis time period, and fault analysis object corresponding to the fault being analyzed; Based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data, fault analysis is performed on the target nuclear power equipment to obtain fault analysis information.

[0009] According to some embodiments of this application, after performing fault analysis on the target nuclear power equipment based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and acquisition data to obtain fault analysis information, the method further includes: A fault handling strategy is generated based on the fault analysis information. The fault handling strategy is executed on the target nuclear power equipment, and the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and collected data to update the equipment status assessment information; If the updated equipment status assessment information does not meet the alarm status definition conditions, the target nuclear power equipment is determined to be in normal operating condition.

[0010] According to some embodiments of this application, the generation of a fault handling strategy based on the fault analysis information includes: Attribution analysis is performed based on the fault analysis information to determine multiple candidate fault causes and the fault confidence level matching each candidate fault cause. Fault diagnosis is performed based on each candidate fault cause and the fault confidence level matched with each candidate fault cause to determine the target fault cause; Based on the cause of the target failure, the failure handling strategy is determined.

[0011] According to some embodiments of this application, each candidate fault cause is configured with a corresponding preparatory maintenance procedure, and determining the fault handling strategy based on the target fault cause includes: For a number of candidate fault causes whose fault confidence meets the preset confidence conditions, the preparatory maintenance procedure corresponding to each candidate fault cause is determined as a gain maintenance procedure. Based on the fault confidence level, several corresponding gain maintenance procedures are integrated to determine the fault handling strategy.

[0012] According to some embodiments of this application, the step of performing fault analysis on the target nuclear power equipment based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data to obtain fault analysis information includes: Based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data, fault analysis is performed on the target nuclear power equipment to obtain fault analysis information; wherein, the fault analysis information includes the target equipment defects of the target nuclear power equipment; The step of implementing the fault handling strategy on the target nuclear power equipment and re-evaluating the real-time operating status of the target nuclear power equipment based on the monitored and collected data to update the equipment status assessment information includes: The fault handling strategy is executed on the target nuclear power equipment, and the number of defects in the target equipment is monitored in real time. In response to a change in the number of defects in the target equipment, the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and data collected, so as to update the equipment status assessment information.

[0013] According to some embodiments of this application, after determining that the target nuclear power equipment is in an alarm operation state in response to the equipment status assessment information satisfying the alarm status definition conditions, the method further includes: Obtain device health status analysis instructions; Based on the equipment health analysis command, retrieve the historical monitoring data of the target nuclear power equipment up to the current moment; The historical monitoring data is input into a pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information.

[0014] According to some embodiments of this application, the equipment health assessment model includes a sub-item assessment network corresponding to multiple equipment health assessment dimensions. The step of inputting the historical monitoring data into the pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information includes: The historical monitoring data is input into a pre-trained device health assessment model; In the equipment health assessment model, the historical monitoring data is input in parallel into multiple sub-item assessment networks to assess the health status of the target nuclear power equipment from multiple equipment health assessment dimensions, thereby obtaining sub-dimensional assessment information corresponding to each sub-item assessment network. The health assessment information is obtained by integrating the sub-dimensional assessment information of each of the device health assessment dimensions.

[0015] According to some embodiments of this application, after inputting the historical monitoring data into a pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information, the method further includes: In response to the health assessment information indicating that the target nuclear power equipment is in an unhealthy state, an equipment operation and maintenance strategy is generated based on the health assessment information; The equipment operation and maintenance strategy is executed on the target nuclear power equipment, and the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and collected data to update the equipment status assessment information; If the updated equipment status assessment information does not meet the alarm status definition conditions, the target nuclear power equipment is determined to be in normal operating condition.

[0016] A nuclear power plant condition monitoring apparatus according to a second aspect embodiment of this application includes: The configuration parameter acquisition module is used to acquire the nuclear power equipment configuration parameters corresponding to the target nuclear power equipment and the sensor equipment configuration parameters corresponding to the associated sensor equipment; wherein, the associated sensor equipment is used to monitor the sensor data corresponding to the target nuclear power equipment; An alarm status definition module is used to determine alarm status definition conditions for the target nuclear power equipment based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment. The real-time monitoring module is used to collect real-time data from the target nuclear power equipment and the associated sensing equipment in response to the target nuclear power equipment entering the operating state, and to obtain monitoring and collected data. The motion status assessment module is used to perform real-time operational status assessment of the target nuclear power equipment based on the monitoring and collected data, and obtain the current equipment status assessment information of the target nuclear power equipment. The equipment status determination module determines that the target nuclear power equipment is in normal operation status in response to the equipment status assessment information not meeting the alarm status definition conditions; or, in response to the equipment status assessment information meeting the alarm status definition conditions, determines that the target nuclear power equipment is in alarm operation status.

[0017] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the nuclear power equipment status monitoring method as described in any one of the embodiments of the first aspect of this application.

[0018] Fourthly, embodiments of this application provide a computer-readable storage medium storing a program that is executed by a processor to implement the nuclear power equipment condition monitoring method as described in any one of the embodiments of the first aspect of this application.

[0019] The nuclear power equipment condition monitoring method, apparatus, electronic device, and storage medium according to the embodiments of this application have at least the following beneficial effects: The nuclear power equipment status monitoring method according to embodiments of this application includes: acquiring nuclear power equipment configuration parameters corresponding to a target nuclear power equipment and sensor equipment configuration parameters corresponding to an associated sensor equipment; wherein the associated sensor equipment is used to monitor sensor data corresponding to the target nuclear power equipment; determining alarm status definition conditions for the target nuclear power equipment based on the nuclear power equipment configuration parameters and the sensor equipment configuration parameters; in response to the target nuclear power equipment entering the operating state, performing real-time data acquisition on the target nuclear power equipment and the associated sensor equipment to obtain monitoring and acquisition data; performing real-time operating status assessment on the target nuclear power equipment based on the monitoring and acquisition data to obtain current equipment status assessment information of the target nuclear power equipment; in response to the equipment status assessment information not meeting the alarm status definition conditions, determining that the target nuclear power equipment is in normal operating state; in response to the equipment status assessment information meeting the alarm status definition conditions, determining that the target nuclear power equipment is in alarm operating state. In this way, the nuclear power equipment condition monitoring method proposed in this application replaces the traditional manual periodic offline monitoring and manual analysis method through an automated and real-time monitoring process, which improves the accuracy and reliability of monitoring results, enhances the response speed to changes in equipment condition, reduces operation and maintenance costs, and provides a stronger guarantee for the safe and stable operation of nuclear power plants.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 A schematic flowchart of a nuclear power equipment condition monitoring method provided in an embodiment of this application; Figure 2 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 3 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 4 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 5 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 6 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 7 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 8 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 9 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 10 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 11 This is another schematic flowchart of the nuclear power equipment condition monitoring method provided in the embodiments of this application; Figure 12 This is a schematic diagram of a front end of the equipment status monitoring and fault diagnosis system provided in an embodiment of this application; Figure 13 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 14 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 15 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 16 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 17 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 18 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 19 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 20 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 21 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 22 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 23 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 24 This is another front-end schematic diagram of the equipment condition monitoring and fault diagnosis system provided in the embodiments of this application; Figure 25This is a schematic diagram of the structure of the nuclear power equipment condition monitoring device provided in the embodiments of this application; Figure 26 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0022] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0023] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0024] In the description of this application, it should be understood that the orientation descriptions, such as up, down, left, right, front, and back, are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0025] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0026] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setting," "installation," and "connection" should be interpreted broadly. Those skilled in the art can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution. Furthermore, the identification of specific steps in the following text does not imply a limitation on the order of steps or execution logic. The execution order and logic between each step should be understood and inferred from the content described in the embodiments.

[0027] Nuclear power equipment condition monitoring and fault diagnosis systems are crucial technologies for ensuring the safe and reliable operation of equipment in the nuclear power field. They analyze operational status by monitoring fault characteristic parameters of equipment or structures in real time, promptly detecting anomalies and providing early warnings and diagnoses. This system encompasses not only monitoring the current state of equipment but also intelligent solutions for assessing equipment health, predicting lifespan, and managing maintenance. Its core objective is to leverage digital and intelligent technologies to improve the operational efficiency and reliability of nuclear power equipment, reduce operating and maintenance costs, and ensure the safe and stable operation of nuclear power plants.

[0028] However, the relevant technologies face many technical challenges in the practical application of nuclear power equipment condition monitoring and fault diagnosis systems.

[0029] First, the operation and maintenance costs of existing technologies are high, mainly due to the complexity of the system itself and the reliance on a large number of hardware devices and professional personnel.

[0030] Secondly, the embodiments of this application have low reliability and are easily affected by external environmental factors, which makes it impossible to effectively guarantee the accuracy and timeliness of the monitoring data.

[0031] Furthermore, existing technologies still need improvement in terms of the accuracy and efficiency of fault diagnosis, especially when faced with complex fault types. The embodiments of this application often struggle to quickly and accurately identify the cause of the fault and provide an effective solution.

[0032] At the same time, existing technologies also have certain limitations in equipment health assessment and life prediction, lacking the ability to accurately model and predict equipment degradation trends, and thus failing to effectively support the full life cycle management of equipment.

[0033] The existence of these problems has affected the practical application effect of nuclear power equipment condition monitoring and fault diagnosis systems, and has restricted the further development of intelligent equipment management in the nuclear power industry.

[0034] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method, apparatus, electronic device, and storage medium for monitoring the condition of nuclear power equipment, which can ensure a higher degree of accuracy and reliability during the monitoring of the condition of nuclear power equipment.

[0035] The following explanation is based on the accompanying drawings.

[0036] Reference Figure 1 The nuclear power equipment condition monitoring method according to the embodiments of this application may include: Step S101: Obtain the nuclear power equipment configuration parameters corresponding to the target nuclear power equipment and the sensor equipment configuration parameters corresponding to the associated sensor equipment; wherein, the associated sensor equipment is used to monitor the sensor data corresponding to the target nuclear power equipment. Step S102: Based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment, determine the alarm status definition conditions for the target nuclear power equipment; Step S103: In response to the target nuclear power equipment entering the operating state, real-time data acquisition is performed on the target nuclear power equipment and associated sensing equipment to obtain monitoring and acquisition data; Step S104: Based on the monitoring and collected data, perform a real-time operational status assessment of the target nuclear power equipment to obtain the current equipment status assessment information of the target nuclear power equipment; Step S105: In response to the fact that the equipment status assessment information does not meet the alarm status definition conditions, determine that the target nuclear power equipment is in normal operation. Step S106: In response to the equipment status assessment information meeting the alarm status definition conditions, determine that the target nuclear power equipment is in an alarm operation state.

[0037] The nuclear power equipment condition monitoring method proposed in this application is a systematic and automated monitoring process designed to improve the efficiency and accuracy of nuclear power equipment monitoring, reduce manual intervention, and ensure the safe and stable operation of nuclear power plants. This method covers the entire process from acquiring equipment and sensor configuration parameters to real-time data collection, condition assessment, and alarm status judgment, achieving comprehensive, all-weather real-time monitoring of nuclear power equipment.

[0038] In some embodiments, step S101 involves obtaining nuclear power equipment configuration parameters corresponding to the target nuclear power equipment and sensor equipment configuration parameters corresponding to the associated sensor equipment; wherein the associated sensor equipment is used to monitor the sensor data corresponding to the target nuclear power equipment. It should be noted that implementing this monitoring method first requires obtaining the configuration parameters of the target nuclear power equipment and its associated sensors. Obtaining these parameters is a prerequisite for accurate monitoring. Each nuclear power unit has unique design and operating parameters, such as equipment name, model, design values, and operating conditions; these constitute the equipment's basic characteristics. Similarly, the type, range, accuracy, and installation location of sensors, as data acquisition tools, directly affect the accuracy and reliability of the monitoring data. Obtaining these parameters ensures the system has a comprehensive understanding of the basic attributes of the equipment and its monitoring methods, providing accurate foundational data for subsequent monitoring work.

[0039] In some embodiments, step S102 involves determining alarm status definition conditions for the target nuclear power equipment based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment. It should be noted that determining the alarm status definition conditions based on the configuration parameters of nuclear power equipment and sensor equipment is a key step in realizing intelligent monitoring.

[0040] During operation, all parameters of the target nuclear power equipment have their normal operating ranges and safety limits. For example, the temperature and pressure of the reactor coolant, and the water level of the steam generator, all have strict operating standards. By analyzing the equipment configuration parameters and combining them with operating experience and safety regulations, reasonable alarm thresholds can be set for each piece of equipment. These thresholds not only serve as standards for judging whether the equipment is in an abnormal state, but also as the basis for the system to automatically trigger alarms. The underlying idea behind determining the alarm state definition conditions is to establish a set of objective, quantifiable, and automatically executable monitoring rules to avoid the subjectivity and inconsistency of human judgment.

[0041] Furthermore, obtaining sensor configuration parameters helps optimize data acquisition and processing workflows. Sensor performance parameters, such as sampling frequency, resolution, and signal output format, determine the quality and usability of the monitoring data. Understanding these parameters allows the system to better match and process the sensor output data, thereby improving the efficiency and accuracy of the entire monitoring system. In addition, analyzing the sensor layout and the selection of monitoring points ensures that the monitoring data comprehensively reflects the equipment's operating status, avoiding monitoring blind spots caused by improper monitoring point placement.

[0042] On the other hand, alarm status definition conditions based on device and sensor configuration parameters enable real-time, dynamic assessment of device status. During device operation, this embodiment can compare real-time collected data with preset alarm conditions to promptly detect anomalies and issue alarms. This parameterized and rule-based monitoring method significantly improves the timeliness and accuracy of monitoring while reducing manual intervention.

[0043] It is worth noting that traditional technologies have failed to determine reasonable alarm status criteria based on the configuration parameters of nuclear power equipment and sensing devices. Alarm status criteria are crucial standards for determining whether equipment is in an abnormal state. In traditional monitoring methods, these criteria often rely on manual experience, lacking scientific rigor and objectivity. For example, for vibration monitoring of a certain piece of equipment, traditional methods might simply set a fixed vibration amplitude threshold as an alarm condition based on historical experience. However, the vibration characteristics of different devices can vary greatly, and such a one-size-fits-all setting may lead to false alarms or missed alarms. The embodiments of this application can dynamically determine the alarm threshold based on the specific configuration parameters of the equipment (such as the equipment's rotational speed, power, and structural form) and the performance parameters of the sensors (such as the sensor's installation location and sensitivity), thus more accurately reflecting the actual operating status of the equipment and improving the timeliness and accuracy of alarms.

[0044] It is evident that traditional nuclear power equipment condition monitoring technologies lack the acquisition and utilization of configuration parameters for the target nuclear power equipment and its associated sensors, leading to problems such as inaccurate monitoring results, unreasonable alarm conditions, poor system adaptability, and low data utilization efficiency. This application, by introducing this crucial step, effectively addresses the shortcomings of traditional technologies, improves the intelligence and reliability of nuclear power equipment condition monitoring, and provides a stronger guarantee for the safe and stable operation of nuclear power equipment.

[0045] In step S103 of some embodiments, in response to the target nuclear power equipment entering the operating state, real-time data acquisition is performed on the target nuclear power equipment and associated sensing equipment to obtain monitoring and acquisition data; It should be noted that when the target nuclear power equipment starts operating, this embodiment of the application will initiate a real-time data acquisition process to continuously collect data from the equipment and its associated sensors. Through the sensor network, key parameter data during equipment operation, such as temperature, pressure, and vibration, can be collected. Real-time data acquisition ensures the timeliness and continuity of monitoring data, enabling immediate detection of anomalies even if the equipment status changes within a short period.

[0046] Reference Figure 2 According to some embodiments of this application, each target nuclear power plant is configured with associated sensing devices installed at multiple sensing data measurement points. Step S103, which involves real-time data acquisition of the target nuclear power plant and associated sensing devices to obtain monitoring and acquisition data, may include: Step S201: Real-time operating parameters of the target nuclear power equipment are collected to obtain operation monitoring data; Step S202: Real-time sensor parameter acquisition is performed for each sensor data measurement point corresponding to the target nuclear power equipment to obtain sensor monitoring data matching each sensor data measurement point. Step S203: Integrate the running monitoring data and the sensor monitoring data matched to each sensor data measurement point to obtain the monitoring data.

[0047] According to some embodiments of this application, the target nuclear power plant is equipped with a correlated sensing device with multiple sensing data measurement points. This design ensures multi-dimensional monitoring of the plant's operating status.

[0048] In some embodiments, step S201 involves collecting real-time operating parameters of the target nuclear power equipment to obtain operational monitoring data. It should be noted that collecting real-time operating parameters of the target nuclear power equipment can yield key data reflecting the overall operating status of the equipment, such as temperature, pressure, flow rate, and vibration. These parameters are fundamental indicators for assessing whether the equipment is operating normally, and by monitoring them in real time, subtle changes in the equipment's operating status can be detected promptly.

[0049] In step S202 of some embodiments, real-time sensing parameters are collected for each sensing data measurement point corresponding to the target nuclear power equipment to obtain sensing monitoring data matching each sensing data measurement point. It should be noted that real-time acquisition of sensor parameters at each data measurement point allows for the acquisition of detailed data related to the location of each point. This data includes not only basic physical quantities but may also involve sensor status information, such as sensor sensitivity and response time. Collecting these sensor parameters relevant to specific measurement points ensures the accuracy and reliability of the monitoring data, providing high-quality data support for subsequent equipment status assessments.

[0050] In some embodiments, step S203 integrates the running monitoring and acquisition data with the sensing monitoring and acquisition data matched to each sensing data measurement point to obtain monitoring and acquisition data.

[0051] It should be noted that integrating the operational monitoring data with the sensor monitoring data collected from each sensor data point is a crucial step in forming a complete monitoring dataset. The integrated dataset contains overall equipment operating parameters and detailed information for each measuring point, providing a comprehensive data foundation for a holistic assessment of the equipment's status. This data integration method helps to more accurately reflect the equipment's true operating status, improving the accuracy of fault diagnosis and the timeliness of early warnings.

[0052] In practical applications, the operating status of target nuclear power equipment is complex and constantly changing. A single operating parameter or data from a single measuring point is often insufficient to fully reflect the true condition of the equipment. For example, monitoring the reactor cooling system requires not only attention to overall operating parameters such as coolant temperature and flow rate, but also real-time monitoring of parameters such as temperature and pressure at various key components (e.g., pump inlet and outlet, heat exchanger inlet and outlet). By integrating this multi-source data, the operating efficiency and safety of the cooling system can be assessed more accurately.

[0053] Furthermore, this data collection and integration method helps improve the intelligence level of the monitoring system. The integrated monitoring data can serve as input for machine learning algorithms, training models to identify normal operating modes and potential fault modes of equipment, thereby achieving more intelligent fault prediction and diagnosis. At the same time, the rich data foundation also provides more possibilities for data analysis and mining of the monitoring system, helping to discover hidden equipment operating patterns and potential problems.

[0054] Data integration also helps optimize the operation and management of nuclear power plants. By integrating data from different equipment and monitoring points, it is possible to perform correlation analysis between the operating statuses of different devices, thereby gaining a more comprehensive understanding of the overall operating status of the nuclear power plant. This helps in developing more reasonable operating strategies and maintenance plans, improving the operating efficiency and safety of the nuclear power plant.

[0055] In summary, the data acquisition and integration method in this application provides more accurate and reliable data support for nuclear power equipment condition monitoring by comprehensively and meticulously collecting data from the target nuclear power equipment and its associated sensing devices, and effectively integrating the data. This method not only improves the accuracy of equipment condition assessment but also provides a solid foundation for the intelligent development of monitoring systems and the overall operational optimization of nuclear power plants.

[0056] Reference Figure 3 According to some embodiments of this application, after real-time data acquisition of the target nuclear power equipment and associated sensing equipment in step S103 to obtain the monitoring and acquisition data, the method may further include: Step S301: Display a preset 3D model that matches the target nuclear power equipment; Step S302: In response to the preset 3D model being subjected to a measurement point query operation, the target query measurement point is determined from multiple sensor data measurement points; Step S303: Extract target monitoring data from the monitoring data based on the associated sensing devices installed at the target query measurement points; Step S304: Load the target monitoring data into the monitoring data display bar of the preset three-dimensional model that matches the target query measurement point.

[0057] In nuclear power equipment condition monitoring, data visualization and interactivity are crucial for operators to understand the equipment's operating status. According to some embodiments of this application, after completing real-time data acquisition of the target nuclear power equipment and its associated sensors, embodiments of this application further provide intuitive data display and interactive functions.

[0058] In some embodiments, step S301 displays a preset three-dimensional model matching the target nuclear power equipment; It should be noted that the embodiments of this application can display a preset 3D model that matches the target nuclear power equipment. This 3D model not only provides an intuitive visual representation of the equipment, but also helps operators quickly locate and identify key components and sensor data measurement points. Through this visual representation, operators can more clearly understand the physical layout of the equipment and the distribution of each measurement point, facilitating subsequent measurement point queries and data viewing.

[0059] In some embodiments, step S302 involves determining a target query point from multiple sensor data measurement points in response to a preset three-dimensional model being subjected to a measurement point query operation. It should be noted that this application embodiment also supports performing measurement point query operations on a preset 3D model. When an operator is interested in a specific measurement point, they can perform interactive operations on the 3D model (such as clicking or selecting a specific location) to determine the target measurement point from multiple sensor data measurement points. This interactive query function greatly improves the convenience and efficiency of the operation, enabling operators to quickly focus on the measurement points of interest without having to perform tedious searches in a complex list of measurement points.

[0060] In some embodiments, step S303 involves extracting target monitoring data from the monitoring data based on the associated sensing device installed at the target query measurement point. It should be noted that after determining the target query measurement point, this embodiment of the application utilizes the associated sensing device installed at that measurement point to extract the corresponding target monitoring data from the collected monitoring data. This step ensures the accuracy and relevance of the data, because the state monitoring method of this embodiment can accurately filter out data directly related to the selected measurement point from a large dataset. This data extraction method not only reduces the possibility of information overload but also improves the efficiency of data processing, making subsequent data display more accurate and efficient.

[0061] In some embodiments, step S304 involves loading the target monitoring data into a monitoring data display bar in a preset three-dimensional model that matches the target query measurement point.

[0062] It should be noted that, in this embodiment, the extracted target monitoring data is loaded into a monitoring data display bar in a preset 3D model that matches the target query measurement point. This function achieves seamless integration of data and the equipment's 3D model, allowing operators to directly view real-time monitoring data at the corresponding location in the 3D model. This enhanced data visualization not only improves data readability and usability but also enables operators to more intuitively understand the equipment's operating status, promptly identify potential problems, and respond accordingly.

[0063] Through the above steps, this embodiment not only achieves real-time data acquisition of nuclear power equipment and its sensing devices, but also provides an intuitive and interactive data display method. This method significantly improves the efficiency and accuracy of operators' monitoring of equipment status, providing strong support for the safe and stable operation of nuclear power equipment.

[0064] In some embodiments, step S104 involves performing a real-time operational status assessment of the target nuclear power equipment based on the monitoring and collected data to obtain the current equipment status assessment information of the target nuclear power equipment. It should be noted that, based on real-time data acquisition, this embodiment analyzes the monitored data to assess the real-time operating status of the target nuclear power equipment and generate equipment status assessment information. This assessment process employs advanced data analysis algorithms and fault diagnosis models, enabling the system to quickly and accurately determine the current status of the equipment.

[0065] In some embodiments, steps S105 to S106 determine that the target nuclear power equipment is in normal operation if the equipment status assessment information does not meet the alarm status definition conditions; and determine that the target nuclear power equipment is in alarm operation if the equipment status assessment information meets the alarm status definition conditions.

[0066] It should be noted that the system determines whether the equipment is in normal operation or alarm operation based on whether the equipment status assessment information meets the alarm status definition conditions. If the equipment status assessment information meets the alarm conditions, this embodiment will promptly issue an alarm signal to remind the operator to intervene. This automated alarm mechanism greatly improves the response speed to abnormal equipment conditions and reduces the delay and error of manual monitoring.

[0067] In summary, the nuclear power equipment condition monitoring method of this application effectively solves the drawbacks of traditional manual periodic monitoring and analysis through an automated and real-time monitoring process. It improves the accuracy and reliability of monitoring results, enhances the response speed to changes in equipment condition, reduces operation and maintenance costs, and provides strong support for the safe and stable operation of nuclear power plants. Through this application, the operating status of the target nuclear power equipment can be monitored more comprehensively and in a more timely manner.

[0068] Reference Figure 4 According to some embodiments of this application, after step S106 determines that the target nuclear power equipment is in an alarm operating state in response to the equipment status assessment information satisfying the alarm status definition conditions, the following may be included: Step S401: Obtain fault analysis instructions; wherein, the fault analysis instructions are used to indicate the fault analysis type, fault analysis time period, and fault analysis object corresponding to the fault being analyzed. Step S402: Based on the fault analysis type, fault analysis time period, fault analysis object, and monitoring and collected data, perform fault analysis on the target nuclear power equipment to obtain fault analysis information.

[0069] In some embodiments, step S401 involves obtaining a fault analysis instruction; wherein the fault analysis instruction is used to indicate the fault analysis type, fault analysis time period, and fault analysis object corresponding to the fault being analyzed. It should be noted that when the equipment status assessment information meets the alarm status definition conditions, this embodiment of the application can determine that the target nuclear power equipment is in an alarm operation state. At this time, in order to further analyze the cause of the equipment failure and formulate corresponding handling measures, this embodiment of the application can receive a fault analysis instruction. This instruction is used to indicate a specific fault analysis, including key information such as the fault analysis type, the fault analysis time period, and the fault analysis object.

[0070] Receiving fault analysis commands provides clear guidance for subsequent fault diagnosis. By specifying the fault analysis type, embodiments of this application can invoke corresponding fault diagnosis algorithms and models, such as vibration analysis, thermal analysis, and pressure analysis, to meet the diagnostic needs of different types of faults. For example, if the fault analysis type is vibration anomaly analysis, vibration-related diagnostic algorithms will be invoked to perform in-depth analysis of the collected vibration data to determine the specific cause of the vibration anomaly, such as equipment imbalance, misalignment, or bearing failure.

[0071] Specifying a fault analysis time period allows this application embodiment to focus on data within a specific time frame, which is crucial for tracing the process and cause of faults. For example, equipment may experience abnormal operating conditions or operational changes within a specific time period, which could lead to a fault. By analyzing monitoring data within that time period, the triggering factors and evolution process of the fault can be identified more accurately.

[0072] Clearly defining the object of fault analysis further narrows the scope of analysis, enabling the embodiments of this application to concentrate resources on a detailed inspection of specific equipment components. For example, if the object of fault analysis is the heat transfer tube of a steam generator, the focus will be on analyzing data related to the heat transfer tube, such as temperature, pressure, and flow rate, as well as the trend of heat transfer efficiency changes, thereby quickly locating the fault location.

[0073] In step S402 of some embodiments, fault analysis is performed on the target nuclear power equipment based on the fault analysis type, fault analysis time period, fault analysis object, and monitoring and collected data to obtain fault analysis information.

[0074] It should be noted that after receiving the fault analysis instructions, this embodiment of the application will conduct a comprehensive fault analysis of the target nuclear power equipment based on these instructions and previously collected monitoring data. By comprehensively utilizing various fault diagnosis technologies and methods, this embodiment of the application can generate detailed fault analysis information. This information includes the type, location, severity, and possible causes of the fault. For example, by analyzing the spectral characteristics of vibration data, it may be possible to discover an imbalance problem in the equipment and further determine the specific location and extent of the imbalance.

[0075] The embodiments of this application can clearly define these fault analysis information and formulate reasonable maintenance plans and handling measures accordingly. This instruction-based fault analysis method not only improves the pertinence and efficiency of fault diagnosis, but also enhances the diagnostic capabilities of the embodiments of this application in complex fault situations, providing strong support for the rapid recovery and safe operation of nuclear power equipment.

[0076] Reference Figure 5 According to some embodiments of this application, after step S402, which involves performing fault analysis on the target nuclear power equipment based on the fault analysis type, fault analysis time period, fault analysis object, and monitoring and data collection, and obtaining fault analysis information, the following may also be included: Step S501: Generate a fault handling strategy based on fault analysis information; Step S502: Implement a fault handling strategy for the target nuclear power equipment and reassess the real-time operating status of the target nuclear power equipment based on the monitoring and collected data to update the equipment status assessment information. Step S503: In response to the updated equipment status assessment information not meeting the alarm status definition conditions, determine that the target nuclear power equipment is in normal operation.

[0077] In some embodiments, step S501 involves generating a fault handling strategy based on fault analysis information. It should be noted that after obtaining the fault analysis information of the target nuclear power equipment, this application embodiment can further generate a fault handling strategy based on this information. This strategy is generated through in-depth interpretation and comprehensive evaluation of the fault analysis information. This application embodiment can formulate specific handling measures based on the type, location, severity, and possible causes of the fault, combined with equipment operating experience and maintenance standards. For example, if the fault analysis information shows that a certain component of the equipment has worn out, a fault handling strategy can be generated, suggesting component replacement or repair and providing corresponding operating procedures and precautions.

[0078] Reference Figure 6 According to some embodiments of this application, step S501, which generates a fault handling strategy based on fault analysis information, may include: Step S601: Perform attribution analysis based on fault analysis information to determine multiple candidate fault causes and the fault confidence level matching each candidate fault cause. Step S602: Perform fault diagnosis based on each candidate fault cause and the fault confidence level matched with each candidate fault cause to determine the target fault cause; Step S603: Determine the fault handling strategy based on the target fault cause.

[0079] According to some embodiments of this application, the process of generating a fault handling strategy based on fault analysis information can be further refined into three stages: attribution analysis, fault diagnosis, and strategy determination.

[0080] In some embodiments, step S601 involves performing attribution analysis based on fault analysis information to determine multiple candidate fault causes and the fault confidence level matching each candidate fault cause. It should be noted that, during the attribution analysis phase, this embodiment of the application conducts in-depth causal relationship analysis based on fault analysis information to identify multiple candidate fault causes that may lead to the fault, and assigns a fault confidence level to each candidate cause. The fault confidence level reflects the likelihood that each candidate cause will lead to the fault, and can be calculated by analyzing historical data, trends in equipment operating parameters, and the contextual information of the fault occurrence. For example, if the fault analysis information shows abnormal vibration in a bearing of the equipment, several possible causes can be listed, such as bearing wear, equipment imbalance, insufficient lubrication, etc., and a confidence level value can be assigned to each of these causes, indicating their likelihood of causing the fault.

[0081] In some embodiments, step S602 involves performing fault diagnosis based on each candidate fault cause and the fault confidence level matched with each candidate fault cause, in order to determine the target fault cause. It should be noted that, during the fault diagnosis phase, this embodiment utilizes these candidate fault causes and their corresponding confidence levels to further diagnose the fault and determine the most likely target fault cause. This process may involve in-depth mining and analysis of monitoring data, employing fault diagnosis algorithms (such as machine learning-based classification algorithms, physical model-based analysis methods, etc.) to evaluate the probability of each candidate cause. This embodiment can eliminate causes with low confidence levels, or confirm causes with high confidence levels through cross-validation. For example, by comparing the vibration spectrum of the equipment with the spectral characteristics of known fault modes, combined with changes in other relevant parameters such as temperature and pressure, the specific cause of the fault can be located more accurately, thereby determining the target fault cause as bearing wear.

[0082] In some embodiments, step S603 involves determining a fault handling strategy based on the target fault cause.

[0083] It should be noted that after determining the cause of the target failure, this application embodiment will formulate a specific failure handling strategy based on this cause. The generation of the failure handling strategy needs to comprehensively consider the type and severity of the failure, the operating status of the equipment, and available maintenance resources. For example, if the target failure cause is bearing wear, bearing replacement can be recommended, along with detailed replacement steps, a list of required tools and spare parts, and precautions. This application embodiment can also suggest appropriate maintenance schedules based on the equipment's operating priority and maintenance window to minimize the impact on equipment operation. Furthermore, this application embodiment can also combine historical maintenance records and best practices to optimize the maintenance process and improve maintenance efficiency and quality.

[0084] Reference Figure 7 According to some embodiments of this application, each candidate fault cause is configured with a corresponding preparatory maintenance procedure. Step S603, based on the target fault cause, determines a fault handling strategy, which may include: Step S701: For several candidate fault causes whose fault confidence meets the preset confidence conditions, determine the preparatory maintenance procedure corresponding to each candidate fault cause as a gain maintenance procedure. Step S702: Based on the fault confidence level, integrate the corresponding several gain maintenance procedures to determine the fault handling strategy.

[0085] According to some embodiments of this application, after determining the target fault cause, a fault handling strategy is further generated based on pre-configured pre-maintenance procedures for each candidate fault cause. This process not only improves the efficiency of fault handling but also enhances the relevance and operability of the strategy.

[0086] In step S701 of some embodiments, for a number of candidate fault causes whose fault confidence meets the preset confidence conditions, the preparatory maintenance procedure corresponding to each candidate fault cause is determined as a gain maintenance procedure. It should be noted that each candidate failure cause is evaluated to determine which candidate causes meet pre-set confidence criteria. These criteria can be based on historical data and expert experience to screen for the most likely failure causes. For example, if the confidence of a candidate failure cause is higher than a set threshold, it can be considered a priority failure cause. The preliminary maintenance procedures corresponding to these candidate failure causes that meet the criteria will be identified as augmented maintenance procedures. Augmented maintenance procedures refer to maintenance steps that can significantly improve the efficiency and effectiveness of equipment recovery; they are pre-planned and validated to provide effective solutions for specific failure causes.

[0087] In step S702 of some embodiments, based on the fault confidence level, several corresponding gain maintenance procedures are integrated to determine a fault handling strategy.

[0088] It should be noted that, based on the failure confidence levels of these candidate failure causes, the corresponding gain repair procedures are integrated to determine the final failure handling strategy. In this process, embodiments of this application can comprehensively consider the priority, required resources, execution time, and expected effects of each gain repair procedure. For example, repair procedures corresponding to high-confidence failure causes can be used as primary processing steps, while procedures corresponding to low-confidence failure causes can be used as auxiliary or backup steps. Furthermore, embodiments of this application can also consider the logical relationships and execution order between repair procedures to ensure the coherence and efficiency of the entire failure handling process.

[0089] In this way, the embodiments of this application can generate a comprehensive and optimized fault handling strategy, which not only covers the most likely causes of the fault and their corresponding maintenance measures, but also allows for flexible adjustments based on actual conditions. This strategy generation method based on fault confidence and pre-configured maintenance procedures ensures the scientific nature and effectiveness of fault handling, while reducing the decision-making burden on maintenance personnel and improving maintenance efficiency and quality. The embodiments of this application not only improve the targeting and efficiency of fault handling, but also enhance the scientific nature and feasibility of the handling strategy, providing strong support for the rapid recovery and long-term stable operation of nuclear power equipment.

[0090] In some embodiments, step S502 involves implementing a fault handling strategy for the target nuclear power equipment and re-evaluating the real-time operating status of the target nuclear power equipment based on the monitoring and collected data to update the equipment status evaluation information. It should be noted that the embodiments of this application can not only generate strategies, but also drive actual maintenance and handling work. During strategy execution, relevant maintenance resources, such as maintenance personnel, tools, and spare parts, can be invoked, and maintenance personnel can be guided to operate according to predetermined steps. Simultaneously, the embodiments of this application can continuously monitor the processing process to ensure the correct execution of the strategy and adjust the strategy in a timely manner to cope with any new situations that may arise.

[0091] After the fault handling is completed, this embodiment of the application can reassess the real-time operating status of the target nuclear power equipment based on the monitoring and collected data. This assessment process is consistent with the previous monitoring and assessment procedures, aiming to verify the effectiveness of the fault handling and update the equipment status assessment information. Through reassessment, this embodiment of the application can determine whether the equipment has returned to normal operating status or whether further handling measures are needed.

[0092] In some embodiments, step S503, in response to the updated equipment status assessment information not meeting the alarm status definition conditions, determines that the target nuclear power equipment is in normal operation.

[0093] It should be noted that if the updated equipment status assessment information indicates that the equipment status no longer meets the alarm conditions, this embodiment of the application will determine that the target nuclear power equipment has returned to normal operation. At this time, this embodiment of the application can cancel the previous alarm status and notify relevant personnel that the equipment has returned to normal. This process not only ensures the safe and stable operation of the equipment, but also provides closed-loop support for equipment maintenance and management.

[0094] Through the above steps, this embodiment of the application achieves complete closed-loop management from fault detection and analysis to processing and state recovery. This method not only improves the efficiency and accuracy of fault handling but also enhances the level of automation and intelligence, providing strong protection for the safe and stable operation of nuclear power equipment.

[0095] Reference Figure 8 According to some embodiments of this application, step S402, based on the fault analysis type, fault analysis time period, fault analysis object, and monitoring and collected data, performs fault analysis on the target nuclear power equipment to obtain fault analysis information, and may include: Step S801: Based on the fault analysis type, fault analysis time period, fault analysis object, and monitoring and collected data, perform fault analysis on the target nuclear power equipment to obtain fault analysis information; wherein, the fault analysis information includes the target equipment defects of the target nuclear power equipment. In step S502, a fault handling strategy is implemented for the target nuclear power equipment, and the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and data collection to update the equipment status assessment information. This may include: Step S802: Implement a fault handling strategy for the target nuclear power equipment and monitor the number of defects in the target equipment in real time. In step S803, in response to a change in the number of defects in the target equipment, the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and collected data to update the equipment status assessment information.

[0096] In some embodiments, step S801 involves performing fault analysis on the target nuclear power equipment based on the fault analysis type, fault analysis time period, fault analysis object, and monitoring and collected data to obtain fault analysis information; wherein, the fault analysis information includes the target equipment defects of the target nuclear power equipment. It should be noted that when conducting fault analysis, multiple factors can be comprehensively considered, such as the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and data collected. Through in-depth analysis of this information, the embodiments of this application can obtain detailed fault analysis information, which clearly points out the specific equipment defects of the target nuclear power equipment. These defects may be caused by equipment aging, component wear, improper installation, or other reasons, and may pose a threat to the normal operation of the equipment.

[0097] In some embodiments, step S802 involves implementing a fault handling strategy for the target nuclear power equipment and monitoring the number of defects in the target equipment in real time. It should be noted that, when implementing the fault handling strategy, this embodiment not only actively takes measures to resolve the identified defects, but also monitors the changes in these defects in real time. By monitoring the number of defects in the target equipment in real time, this embodiment can promptly determine whether the defects have been effectively handled and controlled. For example, after maintenance personnel replace the damaged parts according to the generated fault handling strategy, this embodiment can continuously monitor the relevant parameters of the equipment to confirm whether the defects have been eliminated or reduced.

[0098] In some embodiments, step S803 involves re-evaluating the real-time operating status of the target nuclear power equipment based on the monitoring and data collection, in response to a change in the number of defects in the target equipment, to update the equipment status assessment information.

[0099] It should be noted that if the number of defects in the target equipment changes, such as decreasing or disappearing, it indicates that the fault handling strategy has achieved its intended effect. In this case, the embodiments of this application can respond to this change and reassess the real-time operational status of the target nuclear power equipment based on the monitored data. By updating the equipment status assessment information, the embodiments of this application can accurately reflect the current actual operating status of the equipment. This step is crucial for confirming whether the equipment has returned to normal operation and also provides the latest data support for subsequent maintenance and management.

[0100] Overall, this series of operational procedures demonstrates the intelligence and dynamic adaptability of nuclear power equipment condition monitoring. The embodiments of this application can not only accurately identify and analyze equipment faults, but also monitor the effectiveness of fault handling in real time and automatically update equipment condition assessments based on actual conditions. This closed-loop management mechanism effectively improves the efficiency and accuracy of equipment maintenance, reduces the potential risks of equipment faults to the safe operation of nuclear power plants, and ensures the long-term reliability and operational efficiency of nuclear power equipment.

[0101] Reference Figure 9 According to some embodiments of this application, after step S106 determines that the target nuclear power equipment is in an alarm operating state in response to the equipment status assessment information satisfying the alarm status definition conditions, the following may be included: Step S901: Obtain the device health status analysis command; Step S902: According to the equipment health status analysis instruction, retrieve the historical monitoring data of the target nuclear power equipment up to the current time; Step S903: Input historical monitoring data into the pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information.

[0102] In some embodiments, step S901 involves obtaining a device health status analysis command; It should be noted that when a target nuclear power plant is detected to be in an alarm operation state, it means that the equipment may face potential risks and its health status needs further analysis. Therefore, this application embodiment obtains equipment health status analysis instructions.

[0103] In some embodiments, step S902 involves retrieving historical monitoring data of the target nuclear power equipment up to the current moment, based on the equipment health analysis instruction. It should be noted that, based on the received equipment health analysis instructions, historical monitoring data of the target nuclear power equipment is retrieved. This data covers all key parameters of the equipment from the start of operation to the present moment, including temperature, pressure, vibration, and flow rate. Historical monitoring data is a crucial foundation for equipment health assessment because it not only reflects the current state of the equipment but also records the performance trends over time. For example, by analyzing changes in vibration amplitude in historical data, it is possible to identify whether the equipment has a gradually worsening imbalance problem; or by observing long-term temperature trends, it is possible to determine whether the equipment is at risk of overheating. This data provides comprehensive background information for subsequent health assessments, helping to diagnose the health status of the equipment more accurately.

[0104] In some embodiments, step S903 involves inputting historical monitoring data into a pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information.

[0105] It's important to note that this historical monitoring data is input into a pre-trained equipment health assessment model. This model, trained on extensive historical data and expert knowledge, can identify normal and abnormal characteristics in equipment operating modes. The model's input is processed and pre-processed historical monitoring data, and its output is a quantitative assessment of the equipment's health status, such as a health index, remaining service life prediction, or failure probability. For example, based on vibration data, temperature data, and operating time, the model can calculate a health index of 85 points (out of 100) and predict a remaining service life of 12 months under current operating conditions. These assessment results provide operators with intuitive information about the equipment's health status, helping them make more informed maintenance decisions.

[0106] Furthermore, the use of equipment health assessment models not only improves the accuracy and efficiency of assessments but also reduces reliance on human experience. Traditional methods often depend on expert judgment, which can be subjective and inconsistent. In contrast, pre-trained models, based on data-driven approaches, provide objective and repeatable assessment results. Simultaneously, these models can be continuously updated and optimized to adapt to equipment aging and changes in operating conditions.

[0107] In summary, this series of operational procedures demonstrates the intelligence and forward-looking nature of nuclear power equipment condition monitoring methods. By promptly initiating health assessments upon equipment entering an alarm state, the embodiments of this application provide operators with a comprehensive view of the equipment's health status. This not only facilitates rapid diagnosis of equipment problems but also provides a scientific basis for developing maintenance plans and extending equipment lifespan, thereby improving the overall operational efficiency and safety of nuclear power equipment.

[0108] Reference Figure 10 According to some embodiments of this application, the equipment health assessment model includes a sub-item assessment network corresponding to multiple equipment health assessment dimensions. Step S903 inputs historical monitoring data into the pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information, which may include: Step S1001: Input historical monitoring data into the pre-trained device health assessment model; Step S1002: In the equipment health assessment model, historical monitoring data is input in parallel into multiple sub-item assessment networks to assess the health status of the target nuclear power equipment from multiple equipment health assessment dimensions, and to obtain sub-dimensional assessment information corresponding to each sub-item assessment network. Step S1003: Integrate the sub-dimensional assessment information of each device health assessment dimension to obtain health assessment information.

[0109] According to some embodiments of this application, the equipment health assessment model employs a multi-dimensional sub-item assessment network to achieve a comprehensive health status analysis of the target nuclear power equipment. This innovative model architecture aims to provide more detailed and comprehensive health assessment information by examining historical monitoring data of the equipment from multiple perspectives.

[0110] In some embodiments, step S1001 involves inputting historical monitoring data into a pre-trained device health assessment model. It should be noted that historical monitoring data of the target nuclear power equipment is input into a pre-trained equipment health assessment model. This historical data covers the equipment's state parameters under different operating conditions, such as key indicators like temperature, pressure, and vibration. The input data undergoes preprocessing and standardization to ensure the model can accurately identify and analyze patterns and trends. This step is the starting point of the entire health assessment process, laying the foundation for subsequent multi-dimensional analysis.

[0111] In step S1002 of some embodiments, historical monitoring data is input in parallel into multiple sub-item evaluation networks in the equipment health assessment model to assess the health status of the target nuclear power equipment from multiple equipment health assessment dimensions, and to obtain sub-dimensional assessment information corresponding to each sub-item evaluation network. It should be noted that the equipment health assessment model inputs this historical monitoring data in parallel into multiple sub-assessment networks. Each sub-assessment network focuses on a specific dimension of the equipment's health status, such as mechanical performance, thermal performance, and material degradation. For example, one sub-assessment network might specifically analyze the equipment's vibration data to assess the integrity of its mechanical structure; another sub-assessment network might focus on temperature change trends to determine whether the equipment's thermal management is functioning properly. This multi-dimensional analysis approach can reveal potential problems in different aspects of the equipment, providing a more comprehensive picture of its health status than a single-dimensional assessment.

[0112] Each sub-evaluation network independently processes the input historical monitoring data based on its focused health dimension and generates sub-dimensional evaluation information for that dimension. This sub-dimensional evaluation information includes an assessment of the equipment's condition in a specific health dimension, such as a health index, degradation rate, or failure risk probability. For example, a mechanical performance sub-evaluation network might output the vibration amplitude variation trend of the equipment and its corresponding health index, while a thermal performance sub-evaluation network might provide indicators such as temperature distribution uniformity and thermal efficiency.

[0113] In step S1003 of some embodiments, the sub-dimensional assessment information of each device health assessment dimension is integrated to obtain health assessment information.

[0114] It should be noted that, to obtain comprehensive health assessment information, the equipment health assessment model integrates the sub-dimensional assessment information generated by the various sub-assessment networks. This integration process typically involves weighted averaging, data fusion, or other statistical methods to comprehensively consider the importance of each health dimension and their interrelationships. The integrated health assessment information not only reflects the equipment's health status in each sub-dimensional dimension but also provides a quantitative assessment of the overall health status, such as the equipment's comprehensive health index, remaining useful life prediction, or maintenance priorities. These comprehensive assessment results provide operators with an intuitive and comprehensive overview of the equipment's health status, helping them to develop more scientific and effective maintenance strategies to ensure the safe and reliable operation of nuclear power equipment.

[0115] Reference Figure 11 According to some embodiments of this application, after inputting historical monitoring data into a pre-trained equipment health assessment model in step S903 to assess the health status of the target nuclear power equipment and obtain health assessment information, the process may further include: Step S1101: In response to the health assessment information indicating that the target nuclear power equipment is in an unhealthy state, generate an equipment operation and maintenance strategy based on the health assessment information; Step S1102: Implement equipment operation and maintenance strategies for the target nuclear power equipment, and re-evaluate the real-time operating status of the target nuclear power equipment based on the monitoring and collected data to update the equipment status evaluation information. Step S1103: In response to the updated equipment status assessment information not meeting the alarm status definition conditions, determine that the target nuclear power equipment is in normal operation.

[0116] After inputting historical monitoring data into a pre-trained equipment health assessment model and conducting a health assessment, if the health assessment information indicates that the equipment is in an unhealthy state, the system will formulate corresponding equipment operation and maintenance strategies based on this key information. The initiation of this process marks the system's transition from the assessment phase to the proactive intervention and decision-making phase, with the aim of rapidly restoring the equipment's health and preventing potential equipment failures from affecting the overall operational safety of the nuclear power plant.

[0117] In some embodiments, step S1101 involves generating an equipment operation and maintenance strategy based on health assessment information in response to a health assessment information indicating that the target nuclear power equipment is in an unhealthy state. It should be noted that specific equipment operation and maintenance strategies are generated based on health assessment information. This strategy generation process considers multiple factors, including the equipment's current health status, historical operating data, operating environment, and maintenance records. The health assessment information provides detailed guidance for formulating the operation and maintenance strategy. For example, if the assessment results show that a certain component of the equipment is excessively worn, the operation and maintenance strategy can recommend replacing that component and provide corresponding operating procedures and precautions. Furthermore, this embodiment can also provide preventative maintenance recommendations based on the equipment's operating status and health status to extend the equipment's service life and improve its reliability. This step helps prevent potential future failures.

[0118] In some embodiments, step S1102 involves implementing an equipment operation and maintenance strategy for the target nuclear power equipment and re-evaluating the real-time operating status of the target nuclear power equipment based on the monitoring and collected data to update the equipment status evaluation information. It should be noted that the generated equipment operation and maintenance strategy is executed. This step involves the actual operation and maintenance of the target nuclear power equipment, which may include equipment repair, component replacement, parameter adjustment, and the implementation of preventive maintenance measures. During execution, this embodiment can monitor the equipment status in real time to ensure the correctness and effectiveness of the operation and maintenance operations. Furthermore, this embodiment can dynamically adjust the operation and maintenance strategy based on the actual operating conditions of the equipment to adapt to changes in equipment status and ensure that the equipment can be restored to a healthy state as quickly as possible.

[0119] In some embodiments, step S1103, in response to the updated equipment status assessment information not meeting the alarm status definition conditions, determines that the target nuclear power equipment is in normal operation.

[0120] It should be noted that if the updated equipment status assessment information indicates that the equipment status no longer meets the alarm conditions, this embodiment of the application will determine that the target nuclear power equipment has returned to normal operation. At this time, this embodiment of the application will cancel the previous alarm notification and notify the operator that the equipment has returned to normal. This conclusion signifies that this embodiment of the application has completed a complete closed-loop process from monitoring, assessment, intervention to recovery, ensuring that the health status of the equipment is effectively maintained, while enhancing the operating efficiency and safety of the nuclear power plant.

[0121] Overall, this series of operational procedures embodies the intelligent, automated, and closed-loop management characteristics of nuclear power equipment condition monitoring in this embodiment of the application. By promptly generating and executing operation and maintenance strategies after the target nuclear power equipment enters an unhealthy state, this embodiment of the application can quickly restore the equipment to a healthy state, reduce the impact of target nuclear power equipment failures on operation, and ensure the safe and stable operation of the nuclear power plant. This operation and maintenance approach based on data-driven and intelligent assessment not only improves the efficiency and accuracy of equipment maintenance but also reduces the need for manual intervention, providing strong support for the long-term reliable operation of nuclear power equipment.

[0122] According to some specific embodiments of this application, the nuclear power equipment condition monitoring method of this application can be implemented by relying on the front-end interface of some equipment condition monitoring and fault diagnosis system to carry out specific steps.

[0123] Reference Figure 12 This image shows the front-end interface of the homepage in the equipment status monitoring and fault diagnosis system according to an embodiment of this application. The interface has a logical layout and comprehensive functions, aiming to provide users with real-time and comprehensive equipment status monitoring and fault diagnosis information.

[0124] The homepage features a navigation bar at the top, including modules such as Homepage, Equipment Information, Monitoring and Alerts, and Fault Diagnosis, allowing users to quickly access different functional areas. The left-hand area primarily displays key information such as basic equipment information, alert information, fault diagnosis results, health assessment status, and lifespan prediction results. Each information item has a "More" button; clicking it takes users to the corresponding detailed page for more comprehensive data and analysis. For example, the Equipment Information page displays detailed equipment parameters and operating history, while the Alerts Handling page displays all alerts and fault information for user analysis and processing.

[0125] The central area of ​​the homepage provides access to the equipment's 3D model, allowing users to directly view the equipment structure and attach actual values ​​for key measuring points for real-time monitoring of critical parameter changes. The right-hand area displays information such as monitoring types, defect statistics, and maintenance statistics. Clicking the "More" button takes users to the corresponding function page for more in-depth data analysis and management.

[0126] The homepage displays only key information and recent data for each functional module, allowing users to quickly understand the equipment status. The equipment status monitoring and fault diagnosis system is also scalable, allowing for the development of additional information displays based on actual needs, providing users with more personalized monitoring and diagnostic services.

[0127] Overall, the homepage has a clear interface design logic and complete functions. Through reasonable layout and hierarchical information display, it provides users with a more efficient and convenient experience for equipment status monitoring and fault diagnosis.

[0128] Reference Figure 13This illustration shows the front-end interface of the equipment information page in an equipment condition monitoring and fault diagnosis system according to an embodiment of this application. The equipment information page is an important component of the equipment condition monitoring and fault diagnosis system, providing users with clear information about the equipment itself and related sensors.

[0129] The page presents key information such as equipment name, power plant, unit, and system in a list format, covering detailed data including design parameters, equipment classification, qualification level, and materials. This layout allows users to quickly understand the basic information of the equipment, providing a foundation for assessing its operational status. For example, design parameters help users grasp the performance limits of the equipment, while material information is crucial for corrosion and wear analysis.

[0130] Reference Figure 14 The device information page simultaneously displays sensor information, including the sensor's location on the device, monitoring parameters, and real-time data. The list display allows users to quickly locate key sensors and understand the device's operating status. Real-time data supports timely anomaly response, while historical data supports in-depth analysis. For example, vibration sensor data can be used for early fault diagnosis, and temperature sensor data can prevent overheating failures.

[0131] The equipment information page integrates equipment and sensor information, linking equipment design data with actual operational monitoring data to provide a comprehensive monitoring and diagnostic perspective. In terms of interactive design, each information item is clearly displayed, allowing users to easily click to view details and delve deeper into specific information. This design satisfies both the need for quick viewing and supports in-depth exploration.

[0132] The equipment information page provides users with high-quality information, covering not only basic parameters but also real-time operational status. This data is crucial for developing maintenance strategies and optimizing operational decisions, facilitating preventative maintenance and rapid fault response, shortening repair time, and reducing maintenance costs. For example, users can identify abnormal vibrations or temperature changes based on sensor data, enabling proactive maintenance and preventing malfunctions before they occur.

[0133] The comprehensive information on the equipment information page provides a solid foundation for equipment management and fault diagnosis. A thorough understanding of equipment parameters, classifications, and materials, combined with real-time monitoring data, allows for accurate assessment of health status. During fault diagnosis, comprehensive analysis of sensor data enables rapid identification of the cause of the fault and determination of its severity, improving diagnostic efficiency and accuracy.

[0134] In summary, the device information page, with its reasonable layout and comprehensive information, provides users with a clear view of the device itself and sensor information, greatly improving the efficiency and accuracy of device management and fault diagnosis.

[0135] In some embodiments, the monitoring and early warning page includes two secondary pages: status monitoring and early warning / alarm information management. Each page has its own function, helping users to comprehensively monitor the operating status of the equipment and obtain early warning information in a timely manner.

[0136] Reference Figure 15 The status monitoring page is divided into multiple three-level interfaces based on monitoring needs, covering different categories and monitoring points. Users can flexibly select monitoring categories or monitoring points and filter by time period to accurately locate the required information. The page displays monitoring data trends using line graphs, supporting in-depth trend analysis, and presents detailed data in tabular format to ensure that the information is presented intuitively and clearly. Key characteristic values ​​are also highlighted to help users quickly grasp the core points of the data.

[0137] Reference Figure 16 The early warning / alarm information management page centrally displays early warning and alarm information generated by the system, including historical data. The information is detailed, covering the monitored object, purpose, time-series variable code, early warning start time, trigger value, and threshold. Users can query information by monitoring content, early warning status, and time period for quick filtering and location. The page retains historical data for easy comparison and analysis, presenting users with a comprehensive view of early warning / alarm information.

[0138] In some embodiments, the fault diagnosis page includes two secondary pages: fault analysis and fault information management, providing users with a comprehensive fault management tool.

[0139] Reference Figure 17 The fault analysis page provides filtering functions for fault analysis objects and time periods on the left, allowing users to select specific equipment or measurement points and specify the time range in which the fault occurred. The upper right corner of the page provides tabs for different analysis types, allowing users to select the appropriate analysis view as needed. The central area on the right displays the detailed fault analysis results using curves or other visualizations, helping users intuitively understand the fault's development process and characteristics. The lower right corner displays the fault type judgment, fault cause analysis, and specific fault handling suggestions, providing clear guidance for maintenance work.

[0140] Reference Figure 18 The fault information management page focuses on the centralized management and querying of fault information. Users can query based on time series variables, monitored objects, and fault time to quickly find the fault information they need. The page displays detailed fault information in a list format, including time series variables, monitored objects, diagnostic results, fault content, sampling time, fault transition time, and related operations, enabling users to have a comprehensive understanding of the equipment's fault history and status.

[0141] This design not only helps users quickly identify and analyze faults, but also provides effective tools for managing and querying fault information, thereby improving the efficiency and accuracy of equipment maintenance.

[0142] Reference Figure 19In some embodiments, the health assessment page, as an important component of the equipment condition monitoring and fault diagnosis system, is mainly used to centrally display the health assessment information of the equipment, helping users to fully understand the operating status and health status of the equipment, so as to take timely maintenance measures and ensure the reliable operation of the equipment.

[0143] The health assessment page provides an intuitive interface where users can select the assessment period and click the "Start" button to activate the assessment algorithm for monitoring and evaluation. This feature allows users to assess the health status of their devices regularly or as needed, ensuring the timeliness and accuracy of the assessment results.

[0144] The assessment results can be presented in various ways, including by evaluating sub-items and weights, or by displaying the overall health assessment results through trend graphs. This diverse presentation method allows users to understand the health status of the equipment from different perspectives. The presentation of evaluation sub-items and weights details each assessment indicator and its impact on the overall health status, while trend graphs visually reflect the changing trend of the equipment's health status over time, making it easier for users to identify potential problems and assess the effectiveness of maintenance.

[0145] The right side presents the health status analysis results in the form of radar charts, scores, or ratings. Radar charts clearly display the relative levels of multiple assessment indicators, while scores or ratings provide an intuitive overview of the health status. The page also provides health assessment analysis conclusions and recommendations. These conclusions and recommendations, generated based on the assessment results, help users quickly understand the main problems with the equipment and provide specific maintenance or improvement measures, thereby improving equipment reliability and operational efficiency.

[0146] Through these features, the health assessment page not only provides users with a wealth of device health information, but also helps them better understand and manage the device's health status through intuitive visualizations and professional analytical suggestions, providing strong support for the stable operation of the device. The page's design fully considers users' actual needs and usage habits, making the health assessment process more efficient and convenient.

[0147] Reference Figure 20 The defect management page, as an important component of the equipment condition monitoring and fault diagnosis system, is primarily used for the centralized display and management of equipment defects and their handling status. This page provides a comprehensive view of defect information, helping users to understand the current status and progress of equipment defects in a timely manner, thereby effectively improving equipment reliability and operational efficiency.

[0148] The defect management page displays the total number of defects, the number that have been resolved, and the number of defects yet to be resolved for this type of equipment. This feature allows users to quickly grasp the overall defect situation of the equipment and understand the current maintenance workload and priorities. Through clear numerical displays, users can intuitively see the progress of defect management and remaining tasks, providing a basis for resource allocation and maintenance plan development.

[0149] The page displays detailed information about each defect in a list format, including the time the defect occurred, the unit to which it belongs, the nature of the fault, the defect level, the equipment code, the processing status, the person responsible for handling the defect, and the processing time. This list-based display allows users to quickly browse and find specific defect information, facilitating detailed analysis and processing. Each defect entry in the list contains key attributes and status information, helping users fully understand the background and processing status of each defect.

[0150] In addition, the defect management page displays categorized statistical results in chart form. Through intuitive charts, users can quickly understand the distribution of defects, such as categorized by defect level, equipment type, or processing status. This visual presentation helps users identify defect patterns and trends, providing data support for optimizing maintenance strategies and implementing preventative maintenance. The use of charts not only improves information readability but also helps users conduct data analysis and decision-making more efficiently.

[0151] These features provide users with a more efficient and intuitive defect management tool. Users can easily grasp the overall picture of equipment defects, track processing progress, and gain in-depth understanding of defect distribution and trends through categorized statistical charts. This comprehensive defect management function helps improve the efficiency and effectiveness of equipment maintenance, ensuring that equipment operates in optimal condition.

[0152] Reference Figure 21 and Figure 22 The maintenance management page is mainly divided into two sub-pages: intelligent decision support and maintenance information management, which aim to improve the efficiency and accuracy of maintenance work.

[0153] Reference Figure 21 The maintenance management page is designed to provide comprehensive maintenance support to the maintenance team, ensuring reliable equipment operation. The intelligent decision support page dynamically provides maintenance personnel with maintenance suggestions based on the equipment's real-time status and historical data. These suggestions include the equipment's current status, fault cause analysis, recommended maintenance types, and suggested processing time and space. The system generates maintenance plans through intelligent algorithms, helping the maintenance team to rationally allocate maintenance tasks and optimize maintenance processes. This intelligent decision support significantly improves maintenance efficiency and reduces equipment downtime.

[0154] Reference Figure 22The maintenance information management page focuses on centralized querying and management of maintenance information. Users can quickly search by equipment name and maintenance type. The system displays detailed information about maintenance tasks in a list format, including processing time, equipment name, maintenance type, cause of failure, feedback on failure handling status, and information on the personnel performing the maintenance. This centralized information management approach allows users to easily track maintenance progress, ensuring transparency and traceability of maintenance work. The list format makes browsing and searching information more convenient, helping users quickly locate the details of specific maintenance tasks.

[0155] Through the collaborative work of these two pages, the maintenance management page provides users with the necessary tools and information to efficiently manage maintenance tasks, ensuring the stable operation of equipment and the smooth progress of maintenance work.

[0156] Reference Figure 23 The lifespan management page is a key component of equipment condition monitoring and fault diagnosis systems, providing users with more in-depth equipment lifespan prediction and assessment capabilities. Through intuitive displays and detailed analysis, users can gain a comprehensive understanding of the equipment's life cycle, thereby better planning equipment maintenance and replacement strategies.

[0157] The lifespan management page provides a comprehensive and intuitive view of the equipment's lifespan, including key information such as length of service, remaining lifespan, and projected total lifespan. This display allows users to quickly understand the current lifespan status of the equipment, assess its health, and inform future maintenance and replacement plans. Through clear visualizations, such as progress bars or numerical displays, users can intuitively see how long the equipment has been used, how much lifespan remains, and its projected total lifespan.

[0158] This page displays the lifespan prediction analysis results based on the type of component or analysis being analyzed. Users can select specific components or analysis types to view detailed lifespan prediction data, which is presented as trend charts showing historical and predicted trends. These trend charts visually reflect changes in equipment lifespan, helping users identify potential problems and trends and take proactive measures. Furthermore, the system also displays key analysis results based on the actual algorithm and analysis, such as key lifespan prediction indicators and influencing factors, ensuring users receive the most important information.

[0159] Through these features, the lifecycle management page not only displays equipment lifecycle information to users but also provides in-depth analysis and predictions to help users better plan equipment maintenance and replacement. This comprehensive lifecycle management tool can improve equipment management efficiency, reduce the risk of equipment failure, and ensure reliable equipment operation throughout its entire lifecycle.

[0160] Reference Figure 24The system management page, as a key part of the equipment status monitoring and fault diagnosis system, covers multiple secondary pages, including sensor information management, log management, threshold management, system configuration, etc., and can be flexibly adjusted according to business needs.

[0161] In terms of sensor information management, the system comprehensively monitors the operating status of sensors, displaying key information such as location, monitoring parameters, and real-time data. The list-style display facilitates quick location and monitoring of sensor operating status, timely detection and handling of anomalies, and ensures data accuracy.

[0162] The log management function records system operations and events in detail, and provides query functions for operation logs and alarm logs. Users can filter and view logs by time, user, and event type, which helps to track system changes and the root cause of problems, and provides strong support for system maintenance and troubleshooting.

[0163] The threshold management function allows users to flexibly set alarm thresholds for monitored parameters, ensuring timely alerts when critical parameters are abnormal. Users can set thresholds for different monitored parameters and adjust them as needed, enhancing system flexibility and adaptability.

[0164] The system configuration function allows users to personalize system settings according to their needs, such as user management, permission allocation, and data backup and recovery. The simple interface design and logical layout ensure efficient system management and configuration, enhancing the user experience.

[0165] Overall, the system management page integrates functions such as sensor management, logging, threshold setting, and system configuration, providing users with more comprehensive and efficient management tools to ensure stable system operation and reliable equipment maintenance.

[0166] Reference Figure 25 The nuclear power equipment condition monitoring device according to the embodiments of this application may include: The configuration parameter acquisition module 2501 is used to acquire the nuclear power equipment configuration parameters corresponding to the target nuclear power equipment and the sensor equipment configuration parameters corresponding to the associated sensor equipment; wherein, the associated sensor equipment is used to monitor the sensor data corresponding to the target nuclear power equipment. The alarm status definition module 2502 is used to determine alarm status definition conditions for the target nuclear power equipment based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment. The real-time monitoring module 2503 is used to respond to the target nuclear power equipment entering the operating state by collecting real-time data from the target nuclear power equipment and associated sensing devices to obtain monitoring data. The motion status assessment module 2504 is used to perform real-time operational status assessment of the target nuclear power equipment based on the monitoring and collected data, and obtain the current equipment status assessment information of the target nuclear power equipment. The equipment status determination module 2505 determines that the target nuclear power equipment is in normal operation status in response to the equipment status assessment information not meeting the alarm status definition conditions; or, in response to the equipment status assessment information meeting the alarm status definition conditions, determines that the target nuclear power equipment is in alarm operation status.

[0167] It is evident that the content of the above-described nuclear power equipment condition monitoring method embodiments is applicable to the embodiments of this nuclear power equipment condition monitoring device. The specific functions implemented by this nuclear power equipment condition monitoring device embodiment are the same as those of the above-described nuclear power equipment condition monitoring method embodiments, and the beneficial effects achieved are also the same as those achieved by the above-described nuclear power equipment condition monitoring method embodiments.

[0168] Reference Figure 26 , Figure 26 This illustration shows the hardware structure of an electronic device according to another embodiment. The electronic device may include: The processor 2601 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 2602 can be implemented in the form of read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 2602 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 2602 and is called and executed by the processor 2601 using the nuclear power equipment condition monitoring method of the embodiments of this application. The 2603 input / output interface is used to implement information input and output; The communication interface 2604 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 2605 transmits information between various components of the device (e.g., processor 2601, memory 2602, input / output interface 2603, and communication interface 2604); The processor 2601, memory 2602, input / output interface 2603 and communication interface 2604 are connected to each other within the device via bus 2605.

[0169] This application also provides a computer program product, which includes a computer program. A processor of a computer device reads and executes the computer program, causing the computer device to perform the aforementioned nuclear power equipment condition monitoring method.

[0170] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in this disclosure and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “including,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatuses.

[0171] It should be understood that in this disclosure, "at least one item" means one or more, and "more than one" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0172] It should be understood that in the description of the embodiments of this application, "multiple" means two or more, "greater than", "less than", "exceeding" etc. are understood to exclude the number itself, and "above", "below", "within" etc. are understood to include the number itself.

[0173] In the several embodiments provided in this disclosure, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0174] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0175] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0176] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium may include: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code.

[0177] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.

[0178] The above is a detailed description of the embodiments of this disclosure. However, this disclosure is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this disclosure. All such equivalent modifications or substitutions are included within the scope defined by the claims of this disclosure.

Claims

1. A method of monitoring the condition of a nuclear plant, characterised by, include: The configuration parameters of the nuclear power equipment corresponding to the target nuclear power equipment and the configuration parameters of the associated sensing equipment are obtained; wherein, each of the target nuclear power equipment is configured with the associated sensing equipment installed at multiple sensing data measurement points, and the associated sensing equipment is used to monitor the sensing data corresponding to the target nuclear power equipment; Based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment, alarm status definition conditions are determined for the target nuclear power equipment. In response to the target nuclear power equipment entering the operating state, real-time operating parameters of the target nuclear power equipment are collected to obtain operating monitoring data; Real-time sensing parameters are collected for each of the sensing data measurement points corresponding to the target nuclear power equipment to obtain sensing monitoring data matching each of the sensing data measurement points; The operation monitoring data and the sensor monitoring data matched to each of the sensor data measurement points are integrated to obtain the monitoring data. Display a preset three-dimensional model matching the target nuclear power equipment; wherein, the preset three-dimensional model is used to reflect the physical layout of the target nuclear power equipment and the distribution of each of the sensor data measurement points; In response to the preset three-dimensional model being subjected to a measurement point query operation, a target query measurement point is determined from a plurality of the sensor data measurement points; Based on the associated sensing device installed at the target query measurement point, target monitoring data is extracted from the monitoring and acquisition data; The target monitoring data is loaded into the monitoring data display bar of the preset three-dimensional model that matches the target query measurement point; Based on the monitoring and collected data, the target nuclear power equipment is evaluated in real time to obtain the current equipment status evaluation information of the target nuclear power equipment. In response to the fact that the equipment status assessment information does not meet the alarm status definition conditions, it is determined that the target nuclear power equipment is in normal operation. In response to the equipment status assessment information satisfying the alarm status definition conditions, the target nuclear power equipment is determined to be in an alarm operation state.

2. The method of claim 1, wherein, After determining that the target nuclear power equipment is in an alarm operation state in response to the equipment status assessment information satisfying the alarm status definition conditions, the method further includes: Obtain fault analysis instructions; wherein, the fault analysis instructions are used to indicate the fault analysis type, fault analysis time period, and fault analysis object corresponding to the fault being analyzed; Based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data, fault analysis is performed on the target nuclear power equipment to obtain fault analysis information.

3. The method of claim 2, wherein, After performing fault analysis on the target nuclear power equipment based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data to obtain fault analysis information, the process further includes: A fault handling strategy is generated based on the fault analysis information. The fault handling strategy is executed on the target nuclear power equipment, and the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and collected data to update the equipment status assessment information; If the updated equipment status assessment information does not meet the alarm status definition conditions, the target nuclear power equipment is determined to be in normal operating condition.

4. The method of claim 3, wherein, The generation of a fault handling strategy based on the fault analysis information includes: Attribution analysis is performed based on the fault analysis information to determine multiple candidate fault causes and the fault confidence level matching each candidate fault cause. Fault diagnosis is performed based on each candidate fault cause and the fault confidence level matched with each candidate fault cause to determine the target fault cause; Based on the cause of the target failure, the failure handling strategy is determined.

5. The method of claim 4, wherein, Each of the candidate fault causes is configured with a corresponding preparatory maintenance procedure. The step of determining the fault handling strategy based on the target fault cause includes: For a number of candidate fault causes whose fault confidence meets the preset confidence conditions, the preparatory maintenance procedure corresponding to each candidate fault cause is determined as a gain maintenance procedure. Based on the fault confidence level, several corresponding gain maintenance procedures are integrated to determine the fault handling strategy.

6. The method of claim 2, wherein, The fault analysis is performed on the target nuclear power equipment based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data to obtain fault analysis information, including: Based on the fault analysis type, the fault analysis time period, the fault analysis object, and the monitoring and collected data, fault analysis is performed on the target nuclear power equipment to obtain fault analysis information; wherein, the fault analysis information includes the target equipment defects of the target nuclear power equipment; The step of implementing a fault handling strategy for the target nuclear power equipment and re-evaluating the real-time operating status of the target nuclear power equipment based on the monitored and collected data to update the equipment status assessment information includes: A fault handling strategy is implemented for the target nuclear power equipment, and the number of defects in the target equipment is monitored in real time. In response to a change in the number of defects in the target equipment, the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and data collected, so as to update the equipment status assessment information.

7. The method of claim 1, wherein, After determining that the target nuclear power equipment is in an alarm operation state in response to the equipment status assessment information satisfying the alarm status definition conditions, the method further includes: Obtain device health status analysis instructions; Based on the equipment health analysis command, retrieve the historical monitoring data of the target nuclear power equipment up to the current moment; The historical monitoring data is input into a pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information.

8. The method of claim 7, wherein, The equipment health assessment model includes a sub-assessment network corresponding to multiple equipment health assessment dimensions. The historical monitoring data is input into the pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information, including: The historical monitoring data is input into a pre-trained device health assessment model; In the equipment health assessment model, the historical monitoring data is input in parallel into multiple sub-item assessment networks to assess the health status of the target nuclear power equipment from multiple equipment health assessment dimensions, thereby obtaining sub-dimensional assessment information corresponding to each sub-item assessment network. The health assessment information is obtained by integrating the assessment information of each sub-dimension of the device health assessment dimension.

9. The method of claim 8, wherein, After inputting the historical monitoring data into a pre-trained equipment health assessment model to assess the health status of the target nuclear power equipment and obtain health assessment information, the method further includes: In response to the health assessment information indicating that the target nuclear power equipment is in an unhealthy state, an equipment operation and maintenance strategy is generated based on the health assessment information; The equipment operation and maintenance strategy is executed on the target nuclear power equipment, and the real-time operating status of the target nuclear power equipment is reassessed based on the monitoring and collected data to update the equipment status assessment information; If the updated equipment status assessment information does not meet the alarm status definition conditions, the target nuclear power equipment is determined to be in normal operating condition.

10. A nuclear power plant condition monitoring apparatus, characterised in that, The method for monitoring the condition of nuclear power equipment according to any one of claims 1 to 9 includes: The configuration parameter acquisition module is used to acquire the nuclear power equipment configuration parameters corresponding to the target nuclear power equipment and the sensor equipment configuration parameters corresponding to the associated sensor equipment; wherein, the associated sensor equipment is used to monitor the sensor data corresponding to the target nuclear power equipment; An alarm status definition module is used to determine alarm status definition conditions for the target nuclear power equipment based on the configuration parameters of the nuclear power equipment and the configuration parameters of the sensing equipment. The real-time monitoring module is used to collect real-time data from the target nuclear power equipment and the associated sensing equipment in response to the target nuclear power equipment entering the operating state, and to obtain monitoring and collected data. The motion status assessment module is used to perform real-time operational status assessment of the target nuclear power equipment based on the monitoring and collected data, and obtain the current equipment status assessment information of the target nuclear power equipment. The equipment status determination module determines that the target nuclear power equipment is in normal operation status in response to the equipment status assessment information not meeting the alarm status definition conditions; or, in response to the equipment status assessment information meeting the alarm status definition conditions, determines that the target nuclear power equipment is in alarm operation status.

11. An electronic device, comprising: include: The device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the nuclear power equipment condition monitoring method as described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The storage medium stores a program that is executed by a processor to implement the nuclear power equipment condition monitoring method as described in any one of claims 1 to 9.

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