Nuclear power equipment operation state detection method, device, equipment and medium

Abstract

The invention discloses a nuclear power equipment operation state detection method and device, equipment and a medium. The method comprises the steps of obtaining working condition data of target equipment; the working condition data comprises generator load, seawater temperature and main steam flow; determining a working condition environment where the target equipment is located according to the working condition data; determining operation data of the target equipment according to the working condition environment of the target equipment; the operation data comprises a plurality of operation parameters and parameter values of the operation parameters; screening the operation parameters according to the parameter values of the operation parameters to obtain at least one key parameter; and determining the operation state of the target equipment in the working condition environment according to the parameter value of each key parameter and the working condition environment. According to the embodiment of the invention, the calculation amount of detecting the operation state of the nuclear power equipment can be reduced, and the detection efficiency of the operation state of the nuclear power equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment detection, and in particular to a method, device, equipment and medium for detecting the operating status of nuclear power equipment. Background Art

[0002] When the equipment in the nuclear power secondary circuit system operates under different working conditions, the operating data of the equipment can be used to detect whether the operating status of the equipment is abnormal.

[0003] Currently, existing technologies collect all the operating data of a device and perform calculations to detect the operating status of the device.

[0004] However, detecting the operating status of nuclear power equipment using the above method has the disadvantages of large computational complexity and low computational efficiency. Summary of the Invention

[0005] The present invention provides a method, device, equipment and medium for detecting the operating status of nuclear power equipment. Embodiments of the present invention can reduce the amount of calculation for detecting the operating status of nuclear power equipment and improve the detection efficiency of the operating status of nuclear power equipment.

[0006] In a first aspect, an embodiment of the present invention provides a method for detecting the operating status of a nuclear power plant, the method comprising:

[0007] Obtain operating data of target equipment; operating data includes: generator load, seawater temperature and main steam flow;

[0008] Determine the working environment of the target equipment based on the working condition data;

[0009] Determine the operating data of the target device according to the working environment of the target device; the operating data includes multiple operating parameters and parameter values ​​of each operating parameter;

[0010] Screening each operating parameter according to its parameter value to obtain at least one key parameter;

[0011] According to the parameter values ​​of each key parameter and the working environment, the operating status of the target equipment in the working environment is determined.

[0012] In a second aspect, an embodiment of the present invention further provides a nuclear power equipment operating status detection device, the device comprising:

[0013] The operating data acquisition module is used to obtain the operating data of the target equipment; the operating data includes: generator load, seawater temperature and main steam flow;

[0014] A working condition environment determination module is used to determine the working condition environment of the target device based on the working condition data;

[0015] An operating data determination module is used to determine the operating data of the target device according to the working environment of the target device; the operating data includes multiple operating parameters and parameter values ​​of each operating parameter;

[0016] A key parameter screening module is used to screen each operating parameter according to its parameter value to obtain at least one key parameter;

[0017] The operating status determination module is used to determine the operating status of the target device in the working environment according to the parameter values ​​of each key parameter and the working environment.

[0018] In a third aspect, an embodiment of the present invention further provides a nuclear power equipment operating status detection device, the nuclear power equipment operating status detection device comprising:

[0019] at least one processor; and

[0020] a memory communicatively connected to at least one processor; wherein,

[0021] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor can execute the method for detecting the operating status of nuclear power equipment according to any embodiment of the present invention.

[0022] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a processor to implement the nuclear power equipment operating status detection method of any embodiment of the present invention when executed.

[0023] The technical solution of the embodiment of the present invention obtains the operating data of the target device to determine the operating environment of the target device, determines the specific operating data of the target device in the operating environment of the target device, screens out key parameters from multiple operating parameters corresponding to each operating data, and uses the key parameters to calculate the operating status of the target device in the operating environment. This can avoid using all the operating data to perform a large number of redundant calculations on the operating status of the target device, and avoid repeated calculations of repeated parameters in all the operating data. By screening out the most critical key parameters from all the operating data of the target device to detect the operating status of the target device, the problem of large amount of calculation and low calculation efficiency in detecting the operating status of nuclear power equipment is solved. The calculation amount of detecting the operating status of nuclear power equipment can be reduced, and the detection efficiency of the operating status of nuclear power equipment can be improved.

[0024] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flowchart of a method for detecting the operating status of nuclear power equipment provided by an embodiment of the present invention;

[0027] Figure 2 A flowchart of a method for detecting the operating status of nuclear power equipment provided by an embodiment of the present invention;

[0028] Figure 3 A schematic structural diagram of a nuclear power equipment operating status detection device provided by an embodiment of the present invention;

[0029] Figure 4 A schematic structural diagram of a nuclear power equipment operating status detection device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] In the technical solutions of the embodiments of the present invention, the acquisition, storage and application of the working condition data and working environment involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0033] Figure 1 This is a flow chart of a method for detecting the operating status of nuclear power equipment provided by an embodiment of the present invention. This embodiment of the present invention is applicable to real-time detection of the operating status of equipment in a nuclear power plant. This method can be performed by a nuclear power equipment operating status detection device, which can be implemented in hardware and / or software.

[0034] See also Figure 1 The method for detecting the operating status of nuclear power equipment shown includes:

[0035] S101. Acquire operating data of a target device; the operating data includes: generator load, seawater temperature, and main steam flow.

[0036] The target device may be a device being tested in a nuclear power secondary system. The nuclear power secondary system refers to a nuclear power plant where steam generated by steam generators is used to drive steam turbines for power generation. The target devices in the nuclear power secondary system include feedwater pumps, steam generators, and condensers.

[0037] The operating condition data may refer to a set of parameters describing the operating conditions of the target device, including parameter items and parameter values. Operating condition data are measured values, not set values. Operating condition data include generator load, seawater temperature, and main steam flow rate. Different operating condition data can affect the target device's performance. For example, the target device's performance will differ when the generator load is A, the seawater temperature is B, and the main steam flow rate is C, compared to when the generator load is D, the seawater temperature is E, and the main steam flow rate is F.

[0038] The generator load may refer to the ratio of the output power of the target device to the rated power. The generator load of the target device may be calculated by detecting the actual output power of the generator of the target device.

[0039] The seawater temperature may refer to the seawater temperature at the water intake of the target device. Seawater can be used in the heat exchange process of the target device. For example, when the seawater temperature is too high, the seawater's cooling efficiency for the target device will decrease, weakening the target device's thermal cycle and power generation efficiency. When the seawater temperature is low, the seawater's cooling efficiency for the target device will increase, enhancing the target device's thermal cycle and power generation efficiency.

[0040] The main steam flow rate refers to the steam flow rate delivered from the steam generator to the steam turbine in the secondary circuit system of a nuclear power plant. The main steam flow rate directly affects the transfer and conversion efficiency of thermal energy.

[0041] S102: Determine the operating environment of the target device based on the operating condition data.

[0042] Among them, the operating environment may refer to a parameter set consisting of parameter values ​​of three parameters: generator load, seawater temperature and main steam flow. The operating environment describes the current operating environment of the target device. When the target device is in different operating environments, the operating performance of the target device under normal operation is different. For example, when the target device is a feedwater pump, the operating environment X includes: generator load is A, seawater temperature is B, and main steam flow is C; the operating environment Y includes: generator load is D, seawater temperature is E, and main steam flow is F; when the feedwater pump is in the operating environment X, under normal working conditions, the feedwater pump efficiency of the feedwater pump is 80%-85%; when the feedwater pump is in the operating environment Y, under normal working conditions, the feedwater pump efficiency of the feedwater pump is 85%-90%.

[0043] S103 , determining operating data of the target device according to the working environment of the target device; the operating data includes a plurality of operating parameters and parameter values ​​of each operating parameter.

[0044] Operational data refers to the parameter items and parameter value sets of the target device's operating parameters under fixed operating conditions. This data can be collected in real time via sensors or monitoring systems. This data can include parameters such as pressure, flow, current, voltage, and speed, as well as the specific parameter value sets for each parameter item over a specific period of time. This data can be used to monitor the performance of the target device under current operating conditions.

[0045] S104: Screen each operating parameter according to its value to obtain at least one key parameter.

[0046] Filtering can refer to selecting, based on rules, the parameters that have the greatest impact on the target device's performance. The goal of filtering is to reduce computational effort and focus on parameters that reflect the target device's performance. For example, operating parameters may include a, b, c, d, and e. Through filtering, it can be determined that a, b, and c have the greatest impact on the target device's performance.

[0047] Key parameters may refer to parameters that significantly impact the performance of the target device. By monitoring and analyzing these key parameters, the operating status of the target device can be more accurately detected. For example, if the target device includes a water inlet pump, the key parameters of the target device may include: water pump inlet pressure, water pump inlet temperature, water pump inlet flow rate, water pump outlet pressure, and water pump outlet temperature.

[0048] S105 : Determine the operating state of the target device in the working environment according to the parameter values ​​of the key parameters and the working environment.

[0049] The operating status can refer to whether the target device is operating normally or abnormally. The operating status is determined by the changes in the values ​​of key parameters over a period of time and the operating environment of the target device. The operating environment determines the threshold range for a normal operating state under the target device's operating environment, and the values ​​of key parameters determine the target device's operating performance.

[0050] It can be seen that in the embodiment of the present application, the operating data of the target device is obtained to determine the operating environment of the target device, and in the operating environment of the target device, the specific operating data of the target device is determined, and key parameters are screened out from multiple operating parameters corresponding to each operating data. The operating status of the target device in the operating environment is calculated using the key parameters, which can avoid using all the operating data to perform a large number of redundant calculations on the operating status of the target device and avoid repeated calculations of repeated parameters in all the operating data; the operating status of the target device is detected by screening out the most critical key parameters from all the operating data of the target device, which solves the problem of large amount of calculation and low calculation efficiency in detecting the operating status of nuclear power equipment; the amount of calculation for detecting the operating status of nuclear power equipment can be reduced, and the detection efficiency of the operating status of nuclear power equipment can be improved.

[0051] In an optional embodiment, Figure 2 A flowchart of a method for detecting the operating status of nuclear power equipment provided in an embodiment of the present invention refines "screening each operating parameter according to the parameter value of each operating parameter to obtain at least one key parameter" into "calculating the correlation value of at least one operating parameter pair according to the parameter value of each operating parameter; determining repeated parameters in each operating parameter according to the correlation value between each operating parameter pair; deleting repeated parameters in each operating parameter to obtain at least one key parameter" to improve the operation of detecting the operating status of nuclear power equipment.

[0052] It should be noted that for parts not described in detail in the embodiments of the present invention, reference may be made to the descriptions of other embodiments.

[0053] See also Figure 2 The method for detecting the operating status of nuclear power equipment shown includes:

[0054] S201. Acquire operating condition data of a target device; the operating condition data includes: generator load, seawater temperature, and main steam flow.

[0055] S202: Determine the operating environment of the target device based on the operating condition data.

[0056] S203 : Determine the operating data of the target device according to the working environment of the target device; the operating data includes a plurality of operating parameters and parameter values ​​of each operating parameter.

[0057] S204: Calculate a correlation value of at least one operating parameter pair according to the parameter value of each operating parameter.

[0058] An operating parameter pair can refer to a pair of two operating parameters. The operation of a target device is often influenced by multiple factors. An operating parameter pair reflects the interactions between the various parameters within the device. For example, operating parameters a and b may have a certain correlation, and their impact on the performance of the target device and their impact factors are highly similar. By calculating the correlation between operating parameter pairs, unnecessary redundant data can be reduced.

[0059] The correlation value may be a numerical value that measures the degree of correlation between a pair of operating parameters. The correlation value between the operating parameter pairs can be calculated using statistical methods such as the Pearson correlation coefficient or the Spearman rank correlation, and is used to indicate the degree of linear or nonlinear relationship between the operating parameter pairs.

[0060] S205 . Determine a repeat parameter in each operating parameter according to the correlation value between each operating parameter pair.

[0061] The repeated parameters may refer to operating parameters with high correlation. Due to the high correlation between repeated parameters, repeated parameters provide redundant information in data analysis, which not only increases the complexity of calculation but also affects the accuracy of analysis results.

[0062] S206: Delete duplicate parameters from each operating parameter to obtain at least one key parameter.

[0063] Deleting duplicate parameters can mean identifying parameter pairs with high correlation values ​​and then deleting the duplicate parameters, retaining only the single operating parameter with independent information. Deleting redundant, duplicate parameters reduces the amount of data, thereby reducing computational complexity and improving analysis speed. For example, if operating parameters A and B have a high correlation value and their impact on a specific performance characteristic of the target device is essentially the same, one of the parameters can be deleted, retaining only the other.

[0064] S207: Determine the operating status of the target device in the working environment according to the parameter values ​​of the key parameters and the working environment.

[0065] It can be seen that in this embodiment, by calculating the correlation values ​​of the operating parameter pairs, it is possible to identify the degree of correlation between the operating parameter pairs. By determining the repeated parameters based on the correlation values, it is possible to remove those redundant or highly correlated operating parameters, avoid data redundancy, and simplify subsequent analysis work. By deleting repeated parameters, it is possible to optimize the selection of operating parameters, reduce the amount of calculation, improve analysis efficiency, and at the same time ensure the effectiveness and accuracy of key parameters in the target device status detection process.

[0066] In some embodiments, determining a repetition parameter in each operating parameter based on a correlation value between each pair of operating parameters includes:

[0067] For each operating parameter, if the correlation value between the operating parameter pair meets the relevant conditions, determining that two operating parameters in the operating parameter pair are repeated;

[0068] Statistics are collected on repeated operating parameters, and repeated parameters are determined among the repeated operating parameters.

[0069] The correlation condition may refer to a standard or rule for detecting whether a sufficiently high correlation exists between pairs of operating parameters. The correlation condition may refer to a predetermined correlation threshold, and operating parameter pairs that meet the correlation condition are determined to be duplicate parameters. For example, assuming a correlation threshold of 0.7, when the correlation value between a pair of operating parameters is 0.8, the operating parameter pair can be determined to meet the correlation condition; when the correlation value between the pair of operating parameters is 0.6, the operating parameter pair can be determined to not meet the correlation condition.

[0070] In a specific example, when performing statistics on repeated operating parameters, determining the repeated parameters in the repeated operating parameters can mean that when performing statistics on the repeated operating parameters, if there is a repeated relationship between multiple operating parameters, it should be ensured that when deleting redundant parameters, important parameters in other relationships are not lost. Exemplarily, when the operating parameters include: a, b, and c, if operating parameters a and operating parameters b are repeated parameters, operating parameter a is deleted, and if operating parameters b and operating parameters c are repeated parameters, operating parameter b is also deleted; then, when deleting operating parameter b, it should be considered that operating parameter a has already been deleted in the relationship between operating parameters a and b. Therefore, when operating parameters b and operating parameters c are repeated parameters, it is necessary to avoid deleting operating parameter b and delete operating parameter c instead.

[0071] It can be seen that in this embodiment, by setting relevant conditions and judging the correlation values ​​between pairs of operating parameters, it is possible to identify highly correlated parameters, ensuring that the target device status detection is not interfered with by redundant information, thereby improving the efficiency and accuracy of the analysis; by performing statistics on repeated parameters, it is possible to ensure that the parameters with the most information value are ultimately retained, further reducing the computational burden and improving the efficiency of data processing.

[0072] In some embodiments, determining the operating state of the target device in the operating environment according to the parameter values ​​of the key parameters and the operating environment includes:

[0073] Input the parameter values ​​of each key parameter and the working environment into the pre-trained state detection model to determine the predicted operating state value of the target equipment;

[0074] Based on the predicted operating status value, the operating status of the target device in the working environment is determined; the operating status includes normal or abnormal.

[0075] The state detection model is used to input the parameter values ​​of key parameters of the target device and the parameter values ​​of the operating environment, and output a predicted operating state value of the target device. In a specific example, the state detection model extracts features from the parameter values ​​of key parameters and the operating environment, decodes the extracted features, and obtains the predicted operating state value of the target device.

[0076] Here, normal may refer to that the target device is in a normal working state when it is in the current working environment; abnormal may refer to that the target device is in an abnormal working state when it is in the current working environment.

[0077] It can be seen that in this embodiment, by inputting key parameters and operating environment into the pre-trained state detection model, the operating status of the equipment can be predicted, which helps to discover potential equipment problems or performance changes in advance and provide data support for maintenance decisions; by judging the operating status of the equipment based on the predicted value, it is possible to quickly identify whether the equipment is in a normal or abnormal state, which helps to respond in time and take necessary measures to reduce the risk of equipment failure.

[0078] In some embodiments, determining the operating state of the target device in the working environment according to the operating state prediction value includes:

[0079] Compare the predicted operating status value with the normal operating status distribution range corresponding to the current working environment to determine the operating status of the target device in the working environment.

[0080] It can be seen that in this embodiment, by inputting key parameters and operating environment into the pre-trained state detection model, it is possible to automatically predict the operating status of the target equipment, reduce manual intervention, and improve the speed and accuracy of judgment; by analyzing the operating status prediction value, it is possible to quickly determine whether the equipment is in a normal operating state or an abnormal state, which facilitates timely maintenance measures, prevents the occurrence of potential faults, and ensures the stable operation of the equipment.

[0081] In some embodiments, before comparing the predicted operating state value with the normal operating state distribution range corresponding to the current working environment to determine the operating state of the target device in the working environment, the method further includes:

[0082] Obtain historical operating data and historical standard types; historical operating data includes multiple operating parameters and parameter values ​​of each operating parameter;

[0083] Screening each operating parameter according to its parameter value to obtain at least one key parameter;

[0084] Input the parameter values ​​and operating conditions of each key parameter into the pre-trained state detection model to determine the historical operating state prediction value of the target equipment;

[0085] Compare the historical operating status prediction value with the normal operating status distribution range to obtain the historical prediction type;

[0086] Adjust the normal operating status distribution range based on the difference between the historical standard type and the historical prediction type.

[0087] The historical operating data may refer to operating data for a historical time period. The historical operating data also includes multiple operating parameters and parameter values ​​for each operating parameter. The parameter values ​​for each operating parameter for a historical time period can be obtained through the historical operating data. By screening each operating parameter, the parameter values ​​for each operating parameter can be obtained.

[0088] Among them, the historical operating status prediction value may refer to the operating status prediction value of the target device obtained based on the historical operating data. The normal operating status distribution range may refer to the value range interval of the target device in the normal operating state under the current working conditions. The historical standard type may refer to the type of normal operating status of the target device in the historical time period. The historical prediction type may refer to the operating status type of the target device predicted based on the historical operating data. The historical prediction type also includes normal and abnormal. The difference may refer to the difference when comparing the historical standard type and the historical prediction type. For example, when the historical standard type predicts that the device is normal, and the historical prediction type predicts that it is abnormal, there is a difference between the historical standard type and the historical prediction type, and the normal operating status distribution range needs to be adjusted.

[0089] It can be seen that in this embodiment, by obtaining historical operating data and historical standard types, the actual historical operating conditions of the target device are provided as a reference; by screening key parameters, the data dimension can be reduced, the computing efficiency can be improved, and irrelevant data can be avoided from affecting the results; using the pre-trained model to predict the historical operating status, the performance of the device under similar working conditions can be evaluated with the help of previous data patterns; comparing the historical operating status prediction value with the normal operating status distribution range can help verify whether the device is within the normal range and ensure the accuracy of the prediction; making adjustments based on the difference between the historical standard type and the historical prediction type helps to optimize the distribution range of the normal operating status in a changing working environment.

[0090] In some embodiments, the target device includes: a water pump device; the key parameters include: a water pump inlet pressure, a water pump inlet temperature, a water pump inlet flow, a water pump outlet pressure and a water pump outlet temperature.

[0091] The feedwater pump equipment may refer to a fluid conveying device in the secondary circuit of a nuclear power plant. The feedwater pump equipment is used to ensure the stability of the steam generator water level and the continuous operation of the thermal system.

[0092] The feed pump inlet pressure refers to the static pressure of the water entering the feed pump on the inlet pipe section. The feed pump inlet pressure reflects the water supply capacity of the pump suction port and the system head height. The feed pump inlet pressure is used to determine whether the water supply is sufficient, prevent cavitation in the feed pump, and affect the pumping efficiency of the feed pump. If the pressure value is too low, the local pressure in the pump cavity may be lower than the saturated vapor pressure, thereby forming bubbles and damaging the impeller. Therefore, the feed pump inlet pressure can be regarded as one of the key parameters of the feed pump equipment.

[0093] The feed pump inlet temperature refers to the actual temperature of the water entering the feed pump at its inlet. This temperature is used to determine the system's thermal equilibrium and, in conjunction with the inlet pressure, to determine whether there is a risk of cavitation. It also reflects the return water quality and deoxygenation effectiveness of the thermal system. Therefore, it can be considered a key parameter for feed pump equipment.

[0094] The feed pump inlet flow rate refers to the volume of water flowing into the feed pump inlet per unit time. This is used for feed pump operation regulation and frequency conversion control, as well as calculations of the system's total heat and flow balance. Therefore, the feed pump inlet zero flow rate can be considered one of the key parameters of the feed pump equipment.

[0095] The feedwater pump outlet pressure refers to the pressure of the water at the outlet pipe after the water is pressurized by the pump. It reflects the resistance of the terminal system and determines whether there is blockage or leakage in the nuclear power secondary circuit system. Abnormally high or low outlet pressure may indicate pipeline problems or pump failure. Therefore, the feedwater pump outlet pressure can be regarded as one of the key parameters of the feedwater pump equipment.

[0096] The feed pump outlet temperature refers to the temperature of the water at the outlet after it is pressurized by the feed pump. This temperature is used to detect abnormal friction or internal overheating in the pump, as well as to determine whether the water has undergone abnormal external heat exchange. A significant increase in temperature may indicate abnormal friction in the pump cavity, poor insulation performance, or a sudden change in operating conditions. Therefore, the feed pump outlet temperature can be considered a key parameter for feed pump equipment.

[0097] It can be seen that in this embodiment, by taking the water supply pump equipment as the target equipment, the performance of the water supply pump can be monitored and optimized to ensure its stable operation under different working conditions; by taking the water supply pump inlet pressure, water supply pump inlet temperature, water supply pump inlet flow, water supply pump outlet pressure and water supply pump outlet temperature as key parameters, the working status of the water supply pump equipment can be fully understood, so as to timely discover potential faults or abnormalities, improve the maintenance efficiency of the equipment, and extend its service life.

[0098] Figure 3 A schematic diagram of the structure of a nuclear power equipment operating status detection device provided by an embodiment of the present invention. This embodiment of the present invention is applicable to situations where the operating status of equipment in a nuclear power plant is detected in real time. The device can execute a method for detecting the operating status of nuclear power equipment and can be implemented in hardware and / or software.

[0099] See also Figure 3 The nuclear power equipment operating status detection device shown includes: a data acquisition module 301, a data acquisition module 302, a data acquisition module 303, a data acquisition module 304 and a data acquisition module 305, wherein:

[0100] The operating data acquisition module 301 is used to acquire the operating data of the target equipment; the operating data includes: generator load, seawater temperature and main steam flow;

[0101] The working environment determination module 302 is used to determine the working environment of the target device based on the working condition data;

[0102] The operating data determination module 303 is used to determine the operating data of the target device according to the working environment of the target device; the operating data includes multiple operating parameters and parameter values ​​of each operating parameter;

[0103] A key parameter screening module 304 is configured to screen each operating parameter according to its parameter value to obtain at least one key parameter;

[0104] The operating state determination module 305 is used to determine the operating state of the target device in the operating environment according to the parameter values ​​of each key parameter and the operating environment.

[0105] The technical solution of the embodiment of the present invention obtains the operating data of the target device to determine the operating environment of the target device, determines the specific operating data of the target device in the operating environment of the target device, screens out key parameters from multiple operating parameters corresponding to each operating data, and uses the key parameters to calculate the operating status of the target device in the operating environment. This can avoid using all the operating data to perform a large number of redundant calculations on the operating status of the target device, and avoid repeated calculations of repeated parameters in all the operating data. By screening out the most critical key parameters from all the operating data of the target device to detect the operating status of the target device, the problem of large amount of calculation and low calculation efficiency in detecting the operating status of nuclear power equipment is solved. The calculation amount of detecting the operating status of nuclear power equipment can be reduced, and the detection efficiency of the operating status of nuclear power equipment can be improved.

[0106] In some embodiments, in filtering each operating parameter according to its parameter value to obtain at least one key parameter, the key parameter filtering module 304 is specifically configured to:

[0107] Calculating a correlation value of at least one operating parameter pair based on the parameter values ​​of each operating parameter;

[0108] determining a repeat parameter in each operating parameter according to a correlation value between each pair of operating parameters;

[0109] Duplicate parameters are deleted from each operating parameter to obtain at least one key parameter.

[0110] In some embodiments, in determining repeated parameters among the operating parameters based on the correlation values ​​between the operating parameter pairs, the key parameter screening module 304 is specifically configured to:

[0111] For each operating parameter, if the correlation value between the operating parameter pair meets the relevant conditions, determining that two operating parameters in the operating parameter pair are repeated;

[0112] Statistics are collected on repeated operating parameters, and repeated parameters are determined among the repeated operating parameters.

[0113] In some embodiments, in determining the operating state of the target device in the operating environment according to the parameter values ​​of each key parameter and the operating environment, the operating state determination module 305 is specifically configured to:

[0114] Input the parameter values ​​of each key parameter and the working environment into the pre-trained state detection model to determine the predicted operating state value of the target equipment;

[0115] Based on the predicted operating status value, the operating status of the target device in the working environment is determined; the operating status includes normal or abnormal.

[0116] In some embodiments, in determining the operating state of the target device in the working environment according to the operating state prediction value, the operating state determination module 305 is specifically configured to:

[0117] Compare the predicted operating status value with the normal operating status distribution range corresponding to the current working environment to determine the operating status of the target device in the working environment.

[0118] In some embodiments, before comparing the predicted operating state value with the normal operating state distribution range corresponding to the current working environment to determine the operating state of the target device in the working environment, the operating state determination module 305 is further configured to:

[0119] Obtain historical operating data and historical standard types; historical operating data includes multiple operating parameters and parameter values ​​of each operating parameter;

[0120] Screening each operating parameter according to its parameter value to obtain at least one key parameter;

[0121] Input the parameter values ​​and operating conditions of each key parameter into the pre-trained state detection model to determine the historical operating state prediction value of the target equipment;

[0122] Compare the historical operating status prediction value with the normal operating status distribution range to obtain the historical prediction type;

[0123] Adjust the normal operating status distribution range based on the difference between the historical standard type and the historical prediction type.

[0124] In some embodiments, the target device includes: a water pump device; the key parameters include: a water pump inlet pressure, a water pump inlet temperature, a water pump inlet flow, a water pump outlet pressure and a water pump outlet temperature.

[0125] The nuclear power equipment operating status detection device provided in the embodiment of the present invention can execute the nuclear power equipment operating status detection method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the nuclear power equipment operating status detection method.

[0126] Figure 4 A schematic structural diagram of a nuclear power equipment operating status detection device provided by an embodiment of the present invention.

[0127] like Figure 4 As shown, nuclear power equipment operating status detection equipment 400 includes at least one processor 401 and a memory, such as a read-only memory (ROM) 402 and a random access memory (RAM) 403, communicatively connected to the at least one processor 401. The memory stores a computer program executable by the at least one processor. Processor 401 can perform various appropriate actions and processes based on the computer program stored in ROM 402 or loaded from storage unit 408 into RAM 403. RAM 403 can also store various programs and data required for the operation of nuclear power equipment operating status detection equipment 400. Processor 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 408 is also connected to bus 404.

[0128] Multiple components in the nuclear power equipment operating status detection device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard and mouse; an output unit 407, such as various types of displays and speakers; a storage unit 408, such as a magnetic disk and optical disk; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the nuclear power equipment operating status detection device 400 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0129] Processor 401 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 401 executes the various methods and processes described above, such as the method for detecting the operating status of nuclear power equipment.

[0130] In some embodiments, the nuclear power equipment operating status detection method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed on the nuclear power equipment operating status detection device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the processor 401, one or more steps of the nuclear power equipment operating status detection method described above can be performed. Alternatively, in other embodiments, the processor 401 can be configured to execute the nuclear power equipment operating status detection method in any other appropriate manner (for example, by means of firmware).

[0131] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0132] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0133] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0134] To provide user interaction, the systems and techniques described herein can be implemented on an operation detection device, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball), through which the user can provide input to the nuclear power equipment operation status detection device. Other types of devices can also be used to provide user interaction; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0135] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0136] A computing system may include clients and servers. The clients and servers are generally remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within a cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS (Virtual Private Server) services.

[0137] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0138] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for detecting the operating status of a nuclear power plant, characterized in that: The method comprises: Acquiring operating data of the target equipment; the operating data includes: generator load, seawater temperature, and main steam flow; Determining the operating environment of the target device according to the operating condition data; Determining operating data of the target device according to the operating environment of the target device; the operating data includes a plurality of operating parameters and parameter values ​​of each of the operating parameters; Screening each of the operating parameters according to the parameter value of each of the operating parameters to obtain at least one key parameter; The operating state of the target device in the operating environment is determined according to the parameter value of each key parameter and the operating environment.

2. The method according to claim 1, characterized in that The step of screening each of the operating parameters according to the parameter value of each of the operating parameters to obtain at least one key parameter includes: Calculating a correlation value of at least one operating parameter pair based on the parameter values ​​of each of the operating parameters; determining a repetition parameter in each of the operating parameters according to the correlation value between each pair of the operating parameters; The repeated parameters are deleted from each of the operating parameters to obtain at least one key parameter.

3. The method according to claim 2, characterized in that Determining a repetition parameter in each of the operating parameters according to the correlation value between each pair of operating parameters includes: For each of the operating parameters, if the correlation value between the operating parameter pairs meets a relevant condition, determining that two operating parameters in the operating parameter pairs are repeated; Statistics are collected on the repeated operating parameters, and a repeated parameter is determined among the repeated operating parameters.

4. The method according to claim 1, wherein Determining the operating state of the target device in the operating environment according to the parameter values ​​of the key parameters and the operating environment includes: Inputting the parameter values ​​of each of the key parameters and the operating environment into a pre-trained state detection model to determine a predicted value of the operating state of the target device; The operating state of the target device in the working environment is determined according to the operating state prediction value; the operating state includes normal or abnormal.

5. The method according to claim 4, characterized in that Determining the operating state of the target device in the working environment according to the operating state prediction value includes: The predicted operating state value is compared with the normal operating state distribution range corresponding to the current working environment to determine the operating state of the target device in the working environment.

6. The method according to claim 5, characterized in that Before comparing the predicted operating state value with the normal operating state distribution range corresponding to the current working environment to determine the operating state of the target device in the working environment, the method further includes: Acquire historical operating data and historical standard types; the historical operating data includes multiple operating parameters and parameter values ​​of each of the operating parameters; Screening each of the operating parameters according to the parameter value of each of the operating parameters to obtain at least one key parameter; Inputting the parameter values ​​of each of the key parameters and the operating environment into a pre-trained state detection model to determine a historical operating state prediction value of the target device; Comparing the historical operating state prediction value with the normal operating state distribution range to obtain a historical prediction type; The normal operating state distribution range is adjusted according to the difference between the historical standard type and the historical prediction type.

7. The method according to claim 1, characterized in that The target equipment includes: water supply pump equipment; the key parameters include: water supply pump inlet pressure, water supply pump inlet temperature, water supply pump inlet flow, water supply pump outlet pressure and water supply pump outlet temperature.

8. A nuclear power equipment operating status detection device, characterized in that: include: A working condition data acquisition module is used to obtain working condition data of the target device; The operating condition data include: generator load, seawater temperature and main steam flow; A working condition environment determination module, configured to determine the working condition environment of the target device based on the working condition data; An operating data determination module, configured to determine operating data of a target device according to an operating environment of the target device; the operating data includes a plurality of operating parameters and a parameter value of each of the operating parameters; A key parameter screening module, configured to screen each of the operating parameters according to the parameter value of each of the operating parameters to obtain at least one key parameter; An operating state determination module is used to determine the operating state of the target device in the operating environment according to the parameter values ​​of each of the key parameters and the operating environment.

9. A nuclear power equipment operating status detection device, characterized in that: The nuclear power equipment operating status detection equipment includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the nuclear power equipment operating status detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the nuclear power equipment operating status detection method according to any one of claims 1 to 7 when executed.

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