Nuclear power plant pipeline leakage monitoring method, device, computer equipment and storage medium

Abstract

This application relates to a nuclear power plant pipeline leakage monitoring method, apparatus, computer equipment, storage medium, and computer program product. The method includes: obtaining current status information and real-time temperature measurement information of the pipeline to be monitored; obtaining a theoretical temperature normalized grayscale value distribution of the pipeline to be monitored based on a correspondence between preset status information and temperature distribution, as well as the current status information; obtaining a measured temperature normalized grayscale value distribution based on the real-time temperature measurement information; and comparing the theoretical temperature normalized grayscale value distribution with the measured temperature normalized grayscale value distribution to obtain leakage monitoring results. This method enables accurate leakage monitoring.

Description

Technical Field

[0001] The present application relates to the field of intelligent monitoring technology, and in particular to a nuclear power plant pipeline leakage monitoring method, device, computer equipment, storage medium and computer program product. Background Art

[0002] During the operating life of a nuclear power plant, equipment on the coolant system's pressure boundary inevitably deteriorates due to normal operating wear, mechanical damage, chemical corrosion, or fatigue, leading to minor leaks in the reactor coolant system. Coolant leaks can cause boric acid corrosion, stress corrosion cracking (SCC) of the primary water circuit, and intergranular stress corrosion cracking (ISCC), seriously compromising the integrity of the coolant system's pressure boundary and potentially triggering leaks in nuclear power plant piping, leading to radioactive contamination.

[0003] In traditional technology, in order to realize pollution monitoring of leakage incidents in nuclear power plant pipelines, a single monitoring instrument is generally used to alarm when exceeding the threshold value or manual inspections are conducted regularly to monitor leakage accidents.

[0004] However, these two methods still have certain problems. That is, on-site verification of leakage through alarms or regular inspections is prone to misjudgment of leakage and the risk of human error, making it impossible to achieve accurate leakage monitoring. Summary of the Invention

[0005] Based on this, it is necessary to provide an accurate nuclear power plant pipeline leakage monitoring method, device, computer equipment, computer readable storage medium and computer program product to address the above technical problems.

[0006] In a first aspect, the present application provides a method for monitoring pipeline leakage in a nuclear power plant. The method comprises:

[0007] Obtain the current status information and real-time temperature measurement information of the pipeline to be monitored;

[0008] Based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, obtaining the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored;

[0009] Obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information;

[0010] The theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution are compared to obtain a leakage monitoring result.

[0011] In one embodiment, obtaining the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored based on the correspondence between the preset state information and the temperature distribution and the current state information includes:

[0012] Based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, a theoretical temperature distribution of the pipeline to be monitored is obtained;

[0013] Obtaining an average value of the theoretical temperature distribution of the pipeline to be monitored according to the theoretical temperature distribution of the pipeline to be monitored;

[0014] The theoretical temperature distribution of the pipeline to be monitored is normalized according to an average value of the theoretical temperature distribution of the pipeline to be monitored to obtain a normalized grayscale value distribution of the theoretical temperature of the pipeline to be monitored.

[0015] In one embodiment, obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information includes:

[0016] Obtaining the measured temperature distribution of the pipeline to be monitored according to the real-time temperature measurement information of the pipeline to be monitored;

[0017] According to the average value of the theoretical temperature distribution of the pipeline to be monitored, the measured temperature distribution of the pipeline to be monitored is normalized to obtain the theoretical temperature normalized gray value distribution of the pipeline to be monitored.

[0018] In one embodiment, the comparing the theoretical temperature normalized grayscale value distribution with the measured temperature normalized grayscale value distribution to obtain the leakage monitoring result includes:

[0019] Obtaining a threshold value of deviation between theoretical and measured temperatures at the same point of the pipeline to be monitored;

[0020] Comparing the theoretical temperature normalized grayscale value distribution with the measured temperature normalized grayscale value distribution to obtain the theoretical and measured temperature deviations at the same point of the pipeline to be monitored;

[0021] The leakage monitoring result is obtained by comparing the theoretical and measured temperature deviations at the same point and the theoretical and measured temperature deviation thresholds at the same point.

[0022] In one embodiment, after comparing the theoretical temperature normalized grayscale value distribution with the measured temperature normalized grayscale value distribution to obtain the leakage monitoring result, the method further includes:

[0023] Obtaining secondary leakage monitoring results based on theoretical and measured temperature deviations at the same points of the pipeline to be monitored;

[0024] The leakage monitoring results and the secondary leakage monitoring results are aggregated to obtain an overall leakage monitoring result.

[0025] In one embodiment, obtaining the secondary leakage monitoring result based on the theoretical and measured temperature deviations at the same point of the pipeline to be monitored includes:

[0026] Obtaining a threshold value of deviation between theoretical and measured temperatures in the same range of the pipeline to be monitored;

[0027] Calculate the theoretical and measured temperature deviations of the same area of the pipeline to be monitored based on the theoretical and measured temperature deviations of the same point of the pipeline to be monitored;

[0028] The theoretical and measured temperature deviation thresholds of the same range area and the theoretical and measured temperature deviations of the same range area are compared to obtain a secondary leakage monitoring result.

[0029] In a second aspect, the present application also provides a nuclear power plant pipeline leakage monitoring device. The device comprises:

[0030] A data acquisition module is used to obtain the current status information and real-time temperature measurement information of the pipeline to be monitored;

[0031] A theoretical distribution acquisition module, configured to obtain a theoretical temperature normalized grayscale value distribution of the pipeline to be monitored based on a correspondence between preset state information and temperature distribution and the current state information;

[0032] A measured distribution acquisition module, configured to obtain a normalized grayscale value distribution of the measured temperature based on the real-time temperature measurement information;

[0033] The leakage analysis module is used to compare the theoretical temperature normalized gray value distribution and the measured temperature normalized gray value distribution to obtain leakage monitoring results.

[0034] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0035] Obtain the current status information and real-time temperature measurement information of the pipeline to be monitored;

[0036] Based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, obtaining the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored;

[0037] Obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information;

[0038] The theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution are compared to obtain a leakage monitoring result.

[0039] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0040] Obtain the current status information and real-time temperature measurement information of the pipeline to be monitored;

[0041] Based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, obtaining the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored;

[0042] Obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information;

[0043] The theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution are compared to obtain a leakage monitoring result.

[0044] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the following steps:

[0045] Obtain the current status information and real-time temperature measurement information of the pipeline to be monitored;

[0046] Based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, obtaining the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored;

[0047] Obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information;

[0048] The theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution are compared to obtain a leakage monitoring result.

[0049] The aforementioned nuclear power plant pipeline leakage monitoring method, apparatus, computer equipment, storage medium, and computer program product first obtain the current state information and real-time temperature measurement information of the pipeline to be monitored; based on the correspondence between the preset state information and the temperature distribution, as well as the current state information, obtain the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored; obtain the actual temperature normalized grayscale value distribution based on the real-time temperature measurement information; and compare the theoretical temperature normalized grayscale value distribution with the actual temperature normalized grayscale value distribution to obtain leakage monitoring results. In this process, a more accurate temperature grayscale value distribution is obtained by normalizing the obtained current state information and real-time temperature measurement information of the pipeline to be monitored, and then comparing the theoretical temperature normalized grayscale value distribution with the actual temperature normalized grayscale value distribution, thereby accurately monitoring nuclear power plant pipeline leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A diagram showing an application environment of a nuclear power plant pipeline leakage monitoring method according to an embodiment;

[0051] Figure 2 1 is a flow chart of a method for monitoring pipeline leakage in a nuclear power plant according to an embodiment;

[0052] Figure 3 A schematic flow chart of a method for monitoring pipeline leakage in a nuclear power plant in another embodiment;

[0053] Figure 4 Schematic diagram of a flow chart of a nuclear power plant pipeline leakage monitoring method in another embodiment;

[0054] Figure 5 is a structural diagram of a nuclear power plant pipeline leakage monitoring device in one embodiment;

[0055] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0057] The nuclear power plant pipeline leakage monitoring method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown, augmented reality device 102 performs bidirectional communication with server 106 via a network, while nuclear power plant instrumentation and control system 104 performs unidirectional communication with server 106 via a network. Augmented reality device 102 includes a thermal imaging device and a real-time video recording device. A data storage system can store data that server 106 needs to process. The data storage system can be integrated with server 106 or placed in the cloud or other network servers. Augmented reality device 102 sends a leak monitoring request to server 106, which includes real-time temperature measurement information of the pipeline to be monitored. Server 106 receives the leak monitoring request and extracts the real-time temperature measurement information of the pipeline to be monitored from the leak monitoring request. Server 106 also obtains the current status information of the pipeline to be monitored from the nuclear power plant instrumentation and control system 104 in real time. Based on the correspondence between the preset status information and the temperature distribution, as well as the current status information, server 106 obtains the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored. Based on the real-time temperature measurement information, server 106 obtains the measured temperature normalized grayscale value distribution. The server 106 compares the theoretical temperature normalized grayscale value distribution with the measured temperature normalized grayscale value distribution to obtain the leak monitoring result. Furthermore, server 106 can also feed back the leak monitoring result to augmented reality device 102. Server 106 can be implemented as a standalone server or a server cluster consisting of multiple servers.

[0058] In one embodiment, Figure 2 As shown, a nuclear power plant pipeline leakage monitoring method is provided, which is applied to Figure 1 Taking the server 106 in FIG. 1 as an example, the method includes the following steps:

[0059] S200, obtaining current status information and real-time temperature measurement information of the pipeline to be monitored.

[0060] Among them, pipelines to be monitored refer to pipelines in nuclear power plants that need to be monitored because they are prone to leakage accidents.

[0061] Specifically, the operation and maintenance personnel of the nuclear power plant wear augmented reality equipment and start monitoring the pipeline to be monitored along the predetermined monitoring route of the nuclear power plant, wherein the augmented reality equipment includes a thermal imaging instrument and a real-time video recording instrument; the operation and maintenance personnel of the nuclear power plant use the thermal imaging instrument to detect the infrared radiation emitted by the pipeline to be monitored, and determine the temperature information of each area on the surface of the pipeline to be monitored in the instantaneous state based on the infrared radiation emitted by the pipeline to be monitored. However, since the temperature data of each area on the surface of the pipeline to be monitored cannot intuitively reflect the temperature distribution of the surface of the target to be monitored, the thermal imaging instrument will display the temperature of the surface of the target to be monitored in the form of a thermal image based on the temperature data of each area on the surface of the pipeline to be monitored, that is, the temperature is converted into a grayscale image according to certain rules. The grayscale image includes gray or pseudo color, and the real-time temperature measurement of the pipeline to be monitored is represented in the form of a grayscale image. Information; at the same time, the real-time video recording instrument of the augmented reality device will be used by the nuclear power plant operation and maintenance personnel to scan the identification code on the pipeline to be monitored, obtain the pipeline number through the identification code, and establish communication between the augmented reality device and the server based on the pipeline number; after obtaining the real-time temperature measurement information and pipeline number of the pipeline to be monitored, the augmented reality device sends a leakage monitoring request to the server based on the communication connection. The leakage monitoring request carries the real-time temperature measurement information of the pipeline to be monitored. The server receives the leakage monitoring request and extracts the real-time temperature measurement information of the pipeline to be monitored from the leakage monitoring request. The server will also obtain the current status information of the pipeline to be monitored sent by the nuclear power plant instrumentation and control system in real time. The current status information of the pipeline to be monitored may include: pressure, temperature, flow, head, vibration, water level, oil quality, non-destructive testing, etc.

[0062] Furthermore, a thermal imaging instrument is used to detect the infrared radiation emitted by the pipeline to be monitored, and the temperature information of each area on the surface of the pipeline to be monitored in the instantaneous state is determined based on the infrared radiation emitted by the pipeline to be monitored. A prerequisite is that the output data of the thermal camera must be adjusted according to the correct settings of parameters such as the emissivity, object distance or reflected temperature of the pipeline to be monitored in the nuclear power plant. Among them, the emissivity is a unitless quantity ranging from 0 to 1, which is the ratio of the radiation emitted by the surface to the radiation emitted by the black body, that is, the ability to emit energy. After the parameter settings are completed, the thermal imaging instrument will determine the temperature information of each area on the surface of the pipeline to be monitored in the instantaneous state based on the infrared radiation emitted by the pipeline to be monitored, and provide an image, in which the image pixels contain information related to the temperature.

[0063] S400 , based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, obtain the theoretical temperature normalized gray value distribution of the pipeline to be monitored.

[0064] Among them, the correspondence between the preset state information and the temperature distribution is the collective name for the historical state information and the constraints corresponding to the historical state information and the temperature distribution; normalization is a way to simplify calculation, that is, to transform the dimensional expression into a dimensionless expression; the grayscale value refers to the color depth in the black and white image, generally ranging from 0 to 255, with white being 255 and black being 0; the theoretical temperature normalized grayscale value distribution refers to the theoretical temperature distribution being normalized and represented in the form of a grayscale image.

[0065] Specifically, since the status information of the nuclear power plant equipment in the nuclear power plant instrumentation and control system can be sent to the server, the server has obtained the historical status information of the pipeline to be monitored from the nuclear power plant instrumentation and control system; the theoretical temperature normalized grayscale value distribution is calculated according to the preset constraints corresponding to the historical status information, current status information and temperature distribution; the historical status information of the pipeline to be monitored and the preset constraints are collectively referred to as the corresponding relationship between the preset status information and the temperature distribution, and the historical status information of the pipeline to be monitored is used as the unchanging basic information volume, and is input into the theoretical analysis tool together with the current status information of the pipeline to be monitored and the preset constraints. The theoretical analysis tool is used to expand the state measurement point position of the current state information to the global position, and normalization is performed to obtain the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored.

[0066] S600 , obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information.

[0067] The normalized grayscale value distribution of the measured temperature refers to normalizing the measured temperature distribution and then representing it in the form of a grayscale image.

[0068] Specifically, the real-time temperature measurement information displays the temperature of the target surface in the form of a thermal image based on the temperature data of each area on the surface of the pipeline to be monitored. Therefore, the measured temperature distribution obtained from the real-time temperature measurement information is actually represented in the form of a grayscale image. The server normalizes the measured temperature distribution to obtain a normalized grayscale value distribution of the measured temperature, which is normalized and represented in the form of grayscale values.

[0069] S800: Compare the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution to obtain a leakage monitoring result.

[0070] Specifically, based on the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution represented in image form, the server performs skeletonization / central axis transformation, rotation, etc. to achieve alignment operations of the two images, compares the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution, judges the gap between the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution, and obtains the leakage monitoring results.

[0071] In the above-mentioned nuclear power plant pipeline leakage monitoring method, the current state information and real-time temperature measurement information of the pipeline to be monitored are first obtained; based on the correspondence between the preset state information and the temperature distribution, as well as the current state information, the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored is obtained; based on the real-time temperature measurement information, the actual temperature normalized grayscale value distribution is obtained; and the theoretical temperature normalized grayscale value distribution and the actual temperature normalized grayscale value distribution are compared to obtain the leakage monitoring results. In this process, a more accurate temperature grayscale value distribution is obtained by normalizing the obtained current state information and real-time temperature measurement information of the pipeline to be monitored, and the theoretical temperature normalized grayscale value distribution and the actual temperature normalized grayscale value distribution are compared, thereby achieving accurate monitoring of nuclear power plant pipeline leakage.

[0072] In one embodiment, Figure 3 As shown, S400 includes:

[0073] S420 , based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, obtain the theoretical temperature distribution of the pipeline to be monitored.

[0074] The theoretical temperature distribution refers to the theoretical change of temperature with spatial position in a certain area of space at a given time.

[0075] Specifically, since the status information of all equipment in the nuclear power plant's instrumentation and control system can be sent to the server, the server has already obtained the historical status information of the pipeline to be monitored from the nuclear power plant's instrumentation and control system; the historical status information should include: parameters of normal operation of the pipeline to be monitored, data under fault conditions of the pipeline to be monitored, data of periodic tests and re-identification of the pipeline to be monitored, data that must be started / stopped, data records of various maintenance states of the pipeline to be monitored, computer records of normal operation monitoring, inspections, periodic tests, performance tests, in-service inspections, and unit operation status. In the historical status information of the pipeline to be monitored obtained, the information of the pipeline to be monitored should be fully covered; after the server obtains the historical status information, it is also necessary to calculate the preset constraints corresponding to the historical status information, current status information and temperature distribution. Calculate the theoretical temperature normalized gray value distribution, for example, use the temperature points and pressure points in the historical state information as the theoretical temperature points and theoretical pressure points, as well as preset constraints such as the boundary parameters of the pipeline to be monitored and the environment (such as ambient temperature, etc.) and the theoretical temperature distribution at the previous moment; the historical state information and constraints of the pipeline to be monitored are collectively referred to as the correspondence between the preset state information and the temperature distribution, and because the current state information is the measured state point, not the state distribution, it is necessary to use the historical state information of the pipeline to be monitored as the invariant basic information, and input it into theoretical analysis tools such as fluid calculation software together with the current state information of the pipeline to be monitored and the preset constraints. Use the theoretical analysis tool to expand the measurement point position to the global position to obtain the theoretical temperature distribution of the pipeline to be monitored.

[0076] S440 , obtaining an average value of the theoretical temperature distribution of the pipeline to be monitored according to the theoretical temperature distribution of the pipeline to be monitored.

[0077] Specifically, since the theoretical temperature distribution of the pipeline to be monitored is a distribution at a global position, the average value Avg of the distribution at a global position is obtained according to the theoretical temperature distribution of the pipeline to be monitored.

[0078] S460 , normalizing the theoretical temperature distribution of the pipeline to be monitored according to the average value of the theoretical temperature distribution of the pipeline to be monitored to obtain a normalized grayscale value distribution of the theoretical temperature of the pipeline to be monitored.

[0079] Specifically, according to the average value of the theoretical temperature distribution of the pipeline to be monitored, the theoretical temperature distribution of the pipeline to be monitored is normalized, that is, all theoretical temperature values P(r) of the theoretical temperature distribution are divided by the average value Avg to obtain the normalized theoretical temperature distribution P'(r)=P(r) / Avg, and the theoretical temperature normalized gray value distribution of the pipeline to be monitored is obtained. The temperature of any point in the theoretical temperature normalized gray value distribution is around 1.0.

[0080] Furthermore, in order to obtain the theoretical temperature normalized gray value distribution of the pipeline to be monitored, the normalized theoretical temperature distribution is grayed out and represented in the form of a gray distribution graph. The maximum value of this distribution is P 1max , the minimum value is P 1min , the grayscale value in the grayscale distribution diagram can be calculated: Pfigure(r)=(P'(r)–P 1min ) / (P 1max -P 1min )*255; From the expression, we can see that for the position with the lowest temperature, P'(r)=P 1min When the gray value in the gray distribution diagram is Pfigure(r)=0, it is reflected as all black in the distribution diagram; for the position with the highest temperature, that is, P'(r)=P 1max When the grayscale value Pfigure(r) in the grayscale distribution diagram is 255, it is reflected as full white in the distribution diagram, and the theoretical temperature normalized grayscale distribution diagram in the form of a grayscale distribution diagram is obtained, that is, the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored is obtained, and the grayscale value is represented by the color of the distribution diagram. In practical applications, in order to make all working conditions applicable to the theoretical temperature normalized grayscale distribution diagram, let the maximum value of the distribution be P 1max , the minimum value is P 1min are fixed, such as P 1min =0.1, P 1max =10.

[0081] In this embodiment, the theoretical temperature distribution of the pipeline to be monitored is normalized to obtain the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored, so that both the measured temperature distribution and the theoretical temperature distribution are dimensionless, and the temperature information of non-measurement points can be predicted through the limited measurement points.

[0082] In one embodiment, obtaining the normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information includes:

[0083] According to the real-time temperature measurement information of the pipeline to be monitored, the measured temperature distribution of the pipeline to be monitored is obtained.

[0084] The measured temperature distribution refers to the measured change of temperature with spatial position in a certain area of space at a given time.

[0085] Specifically, since the real-time temperature measurement information displays the temperature of the target surface in the form of a thermal image based on the temperature data of each area on the surface of the pipeline to be monitored, the measured changes in the temperature of a certain area of the pipeline to be monitored with spatial position at a given time, that is, the measured temperature distribution, can be obtained from the real-time temperature measurement information.

[0086] According to the average value of the theoretical temperature distribution of the pipeline to be monitored, the measured temperature distribution of the pipeline to be monitored is normalized to obtain the theoretical temperature normalized gray value distribution of the pipeline to be monitored.

[0087] Specifically, according to the average value Avg of the theoretical temperature distribution of the pipeline to be monitored, the measured temperature distribution of the pipeline to be monitored is normalized to P'(s) = P(s) / Avg, so that the temperature of any point in the normalized gray value distribution of the measured temperature is around 1.0. The theoretical normalized gray value distribution of the pipeline to be monitored obtained after the normalization of the measured temperature distribution is expressed in the form of a gray distribution graph, and the maximum value of this distribution graph is set to P 2max , the minimum value is P 2min , the grayscale value in the grayscale distribution diagram can be calculated: Pfigure(s)=(P'(s)–P 2min ) / (P 2max -P 2min )*255; From the expression, we can see that for the position with the lowest temperature, P'(s)=P 2min When the gray value in the gray distribution diagram is Pfigure(s)=0, it is reflected as all black in the distribution diagram; for the position with the highest temperature, that is, P'(s)=P 2max When the grayscale value Pfigure(s) in the grayscale distribution diagram is 255, it is reflected as full white in the distribution diagram, and the normalized grayscale value distribution of the measured temperature in the form of a grayscale distribution diagram is obtained, that is, the normalized grayscale value distribution of the measured temperature of the pipeline to be monitored is obtained, and the grayscale value is represented by the color of the distribution diagram; in actual application, the maximum value of the distribution diagram is P 2max , the minimum value is P 2min are fixed, such as P 2min =0.1, P 2max =10, making it applicable to all working conditions, and finally obtaining the normalized grayscale distribution map of the measured temperature.

[0088] In this embodiment, by normalizing the measured temperature distribution according to the average value of the theoretical temperature distribution of the pipeline to be monitored, the systematic deviation between the two temperature distributions due to measurement or theoretical calculation based on different principles can be reduced. For example, if the average value of the measured temperature distribution is obtained by infrared measurement, there will be a large deviation between the average temperature obtained by measurement based on different principles and the theoretical calculation.

[0089] In one embodiment, the leakage monitoring result obtained by comparing the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution includes:

[0090] Obtain the threshold value of the deviation between the theoretical and measured temperatures at the same point of the pipeline to be monitored; compare the normalized grayscale value distribution of the theoretical temperature with the normalized grayscale value distribution of the measured temperature to obtain the deviation between the theoretical and measured temperatures at the same point of the pipeline to be monitored.

[0091] The threshold value of the deviation between the theoretical and measured temperatures at the same point on the pipeline to be monitored refers to the critical value of the deviation between the theoretical temperature and the measured temperature at the same point on the pipeline to be monitored.

[0092] Specifically, since the measured temperature normalized grayscale distribution map and the theoretical temperature normalized grayscale distribution map are actually the normalized distributions of the measured and theoretical temperatures at different locations of the monitored pipeline in the form of grayscale distribution maps, the theoretical and measured temperature deviation threshold T at the same point (i, j) of the monitored pipeline can be obtained. threshold Based on the skeletonization / medial axis transformation, rotation and other operations of the measured temperature normalized grayscale distribution map and the theoretical temperature normalized grayscale distribution map, the two distribution maps are aligned. That is, the grayscale distribution map is used to compare the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution, and the deviation analysis of the theoretical temperature normalized value and the measured temperature normalized value in the distribution map is performed, that is, the deviation between the theoretical and measured temperature at the same point of the monitored pipeline. The deviation analysis expression can be:

[0093]

[0094] in, and are the theoretical temperature normalized value and the measured temperature normalized value corresponding to the point (i, j) of the pipeline to be monitored; T i，j is the temperature deviation between the theoretical temperature and the measured temperature at the same point (i, j).

[0095] The leakage monitoring results are obtained by comparing the theoretical and measured temperature deviations at the same point and the temperature deviation thresholds between the theoretical and measured temperature at the same point.

[0096] Specifically, the threshold value of the temperature deviation between the theoretical and measured temperature at the same point is the critical value of the temperature deviation. When the temperature deviation is less than the temperature deviation threshold, the leakage monitoring result is normal; when the temperature deviation is greater than the temperature deviation threshold, that is, when the deviation between the theoretical temperature normalized value and the measured temperature normalized value is too large, the leakage monitoring result is abnormal, and it is considered that a leak has occurred at this position (i, j).

[0097] In this embodiment, by comparing the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution, the theoretical and measured temperature deviations at the same point of the monitored pipeline are obtained, and then compared with the theoretical and measured temperature deviation thresholds at the same point, accurate monitoring of nuclear power plant leaks is achieved.

[0098] In one embodiment, Figure 4 As shown, after S800, it also includes:

[0099] S820, obtaining a secondary leakage monitoring result based on the theoretical and measured temperature deviations at the same points of the pipeline to be monitored.

[0100] Specifically, after comparing the theoretical and measured temperature deviations at the same point (i, j) and the threshold value of the theoretical and measured temperature deviations at the same point to obtain the leakage monitoring results, the changes in the temperature spatial range caused by the different materials of the pipeline to be monitored are further considered, that is, the theoretical and measured temperature deviations in the same range area of the pipeline to be monitored are considered, and the same range area is the range area centered on the same point (i, j), to obtain the secondary leakage monitoring results.

[0101] Furthermore, if the secondary leakage monitoring result is abnormal, it is considered that there is a leakage risk within the spatial range on the pipeline to be monitored.

[0102] S840, collecting the leakage monitoring results and the secondary leakage monitoring results to obtain the overall leakage monitoring results.

[0103] Specifically, based on the temperature deviation between the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution, leakage monitoring can be performed on the same point of the same pipeline to be monitored to obtain leakage monitoring results, or leakage monitoring can be performed on the same range area of the same pipeline to be monitored to obtain secondary leakage monitoring results. By combining the leakage monitoring results and the secondary leakage monitoring results, the overall leakage monitoring results are obtained to determine whether there is a leakage risk in the pipeline to be monitored.

[0104] In this embodiment, by combining the leakage monitoring results and the secondary leakage monitoring results, the leakage risk of the nuclear power plant pipeline can be monitored more comprehensively.

[0105] In one embodiment, the secondary leakage monitoring results obtained based on the theoretical and measured temperature deviations at the same point of the pipeline to be monitored include:

[0106] Obtain a threshold value of the deviation between the theoretical and measured temperatures in the same range of the pipeline to be monitored; and calculate the deviation between the theoretical and measured temperatures in the same range of the pipeline to be monitored based on the deviation between the theoretical and measured temperatures at the same points of the pipeline to be monitored.

[0107] The threshold value of the deviation between the theoretical and the actually measured temperature in the same range of the pipeline to be monitored refers to the critical value of the deviation between the theoretical and the actually measured temperature in the range centered at the same point (i, j).

[0108] Specifically, considering the limitations of different materials, welding processes, and other factors of the pipeline to be monitored, the threshold value of the theoretical and measured temperature deviation in the same range of the same pipeline to be monitored centered at the same point (i, j) is obtained; based on the obtained theoretical and measured temperature deviation at the same point of the pipeline to be monitored, the theoretical and measured temperature deviation in the same range of the pipeline to be monitored centered at the same point (i, j) can be calculated, and the expression is as follows:

[0109] Div i,j =|T i+1,j +T i-1,j +T i,j+1 +T i,j-1 -4×T i,j |

[0110] Among them, T i，j is the temperature deviation between the theoretical and measured values at the same point (i, j); T i+1，j is the temperature deviation between the theoretical and measured values at the spatial position (i+1, j); similarly, T i-1，j 、T i，j+1 With T i，j-1 are the theoretical and measured temperature deviations at spatial positions (i-1, j), (i, j+1) and (i, j-1); Div i，j is the temperature deviation between the theoretical and measured values within the same range centered at the same point (i, j).

[0111] The secondary leakage monitoring results are obtained by comparing the theoretical and measured temperature deviation thresholds and the theoretical and measured temperature deviations in the same range area.

[0112] Specifically, the theoretical and measured temperature deviation thresholds and the theoretical and measured temperature deviations in the same range are compared to determine the theoretical and measured temperature deviation Div in the same range centered at the same point (i, j). i，j The secondary leakage monitoring result is obtained by checking whether the temperature exceeds the threshold of the theoretical and measured temperature deviation in the same range of the pipeline to be monitored; if the secondary leakage monitoring result is normal, there is no leakage risk; if the secondary leakage monitoring result is abnormal, there is a leakage risk.

[0113] In this embodiment, by judging whether the deviation between the theoretical and measured temperature in the same range area centered on the same point (i, j) exceeds the threshold of the deviation between the theoretical and measured temperature in the same range area of the pipeline to be monitored, it is possible to accurately judge whether there is a leakage risk in this spatial range.

[0114] In one embodiment, since pipelines need to be connected by joints, but different joints may be made of different metal structures, the reflectivity of the joints may also be significantly different from the material of the pipeline itself. Therefore, the measured temperature information of the area where the joints and pipelines coexist obtained by the thermal imager is not stable. Even if the secondary leakage monitoring is abnormal, that is, the deviation between the theoretical and measured temperature in the same range area is greater than the threshold value of the deviation between the theoretical and measured temperature in the same range area, it cannot be considered that a leak has occurred. Therefore, in order to improve the accuracy of monitoring, it is necessary to filter the area where the joints and pipelines coexist. The filtering method can be: pre-define the minimum area of the pipeline area with similar temperature, and use the theoretical and measured temperature deviation Div in the same range area centered at the same point (i, j) of the pipeline. i，j , divide the pipeline into different areas, and the division standard is that the spatial range with small temperature deviation is divided into one area, that is, each spatial position within each area has a similar temperature. For example, there are areas A and B with similar temperatures, but the temperature is different from other surrounding areas. Therefore, areas A and B are judged to be abnormal areas. The area of A is smaller than that of B. Since the area of the joint is too small compared to the pipeline, the abnormal areas with relatively small areas can be filtered. Area A is a smaller area than area B, so area A is considered to be the area where both the joint and the pipeline exist. Area A is filtered, and only the real leakage area B is monitored.

[0115] In one embodiment, not only the leakage monitoring results will be fed back to the augmented reality device, but also the theoretical temperature distribution, the measured temperature distribution, the comparison of the theoretical temperature normalized gray value distribution and the measured temperature normalized gray value distribution, the filtering conditions of different areas in secondary leakage monitoring, and the secondary leakage monitoring results such as the relevant monitoring information in the areas where leakage occurs or there is a risk of leakage in the leakage monitoring will all be fed back to the augmented reality device; and these data will be updated as the nuclear power plant operation and maintenance personnel conduct inspections.

[0116] In one embodiment, the nuclear power plant pipeline leakage monitoring method disclosed in the present application can also be used to: compare the temperature changes of the upstream and downstream pipe sections of the valve in the closed state to judge the tightness of the valve; compare the temperature fields of electrical equipment such as motor windings, switch contacts, capacitors, relays, etc. at different times to judge the health status of the electrical equipment.

[0117] In one embodiment, the instrumentation and control system obtains the current status information of the pipeline to be monitored by obtaining measurement signals from detectors deployed on the pipeline to be monitored, measuring the status information of the pipeline to be monitored, and transmitting the obtained current status information to the instrumentation and control system via a field bus.

[0118] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0119] Based on the same inventive concept, embodiments of the present application also provide a nuclear power plant pipeline leakage monitoring device for implementing the aforementioned nuclear power plant pipeline leakage monitoring method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the nuclear power plant pipeline leakage monitoring device provided below can be found in the aforementioned limitations of the nuclear power plant pipeline leakage monitoring method and will not be further elaborated here.

[0120] In one embodiment, Figure 5 As shown, a nuclear power plant pipeline leakage monitoring device is provided, comprising: a data acquisition module 200, a theoretical distribution acquisition module 400, a measured distribution acquisition module 600 and a leakage analysis module 800, wherein:

[0121] The data acquisition module 200 is used to obtain the current status information and real-time temperature measurement information of the pipeline to be monitored.

[0122] The theoretical distribution acquisition module 400 is used to obtain the theoretical temperature normalized gray value distribution of the pipeline to be monitored based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information.

[0123] The measured distribution acquisition module 600 is used to obtain the measured temperature normalized gray value distribution according to the real-time temperature measurement information.

[0124] The leakage analysis module 800 is used to compare the theoretical temperature normalized gray value distribution with the measured temperature normalized gray value distribution to obtain leakage monitoring results.

[0125] In one embodiment, the theoretical distribution acquisition module 400 is further used to obtain the theoretical temperature distribution of the pipeline to be monitored based on the correspondence between the preset state information and the temperature distribution, as well as the current state information; obtain the average value of the theoretical temperature distribution of the pipeline to be monitored according to the theoretical temperature distribution of the pipeline to be monitored; and normalize the theoretical temperature distribution of the pipeline to be monitored according to the average value of the theoretical temperature distribution of the pipeline to be monitored to obtain the normalized grayscale value distribution of the theoretical temperature of the pipeline to be monitored.

[0126] In one embodiment, the measured distribution acquisition module 600 is further used to obtain the measured temperature distribution of the pipeline to be monitored based on the real-time temperature measurement information of the pipeline to be monitored; and normalize the measured temperature distribution of the pipeline to be monitored based on the average value of the theoretical temperature distribution of the pipeline to be monitored to obtain the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored.

[0127] In one embodiment, the leakage analysis module 800 is also used to obtain a threshold value of deviation between the theoretical and measured temperatures at the same point of the pipeline to be monitored; compare the normalized grayscale value distribution of the theoretical temperature and the normalized grayscale value distribution of the measured temperature to obtain the deviation between the theoretical and measured temperatures at the same point of the pipeline to be monitored; compare the deviation between the theoretical and measured temperatures at the same point and the threshold value of deviation between the theoretical and measured temperatures at the same point to obtain the leakage monitoring result.

[0128] In one embodiment, a secondary leakage monitoring module is further included, which is used to obtain secondary leakage monitoring results based on the theoretical and measured temperature deviations at the same points of the pipeline to be monitored; and to aggregate the leakage monitoring results and the secondary leakage monitoring results to obtain an overall leakage monitoring result.

[0129] In one embodiment, the secondary leakage monitoring module is also used to obtain a threshold value of the deviation between the theoretical and measured temperatures in the same range area of the pipeline to be monitored; calculate the theoretical and measured temperature deviation between the same range area of the pipeline to be monitored based on the theoretical and measured temperature deviation at the same point of the pipeline to be monitored; compare the threshold value of the deviation between the theoretical and measured temperature in the same range area and the theoretical and measured temperature deviation in the same range area to obtain a secondary leakage monitoring result.

[0130] Each module in the aforementioned nuclear power plant pipeline leakage monitoring device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor within a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0131] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store current status information of the pipeline to be monitored and real-time temperature measurement information. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a nuclear power plant pipeline leakage monitoring method is implemented.

[0132] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0133] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0134] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0135] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0136] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0137] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0138] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A nuclear power plant pipeline leakage monitoring method, characterized in that: The method comprises: Obtain the current status information and real-time temperature measurement information of the pipeline to be monitored; Based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information, a theoretical temperature distribution of the pipeline to be monitored is obtained; Obtaining an average value of the theoretical temperature distribution of the pipeline to be monitored according to the theoretical temperature distribution of the pipeline to be monitored; Normalizing the theoretical temperature distribution of the pipeline to be monitored according to the average value of the theoretical temperature distribution of the pipeline to be monitored to obtain a normalized grayscale value distribution of the theoretical temperature of the pipeline to be monitored; Obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information; Obtaining a threshold value of deviation between theoretical and measured temperatures at the same point of the pipeline to be monitored; Comparing the theoretical temperature normalized grayscale value distribution with the measured temperature normalized grayscale value distribution to obtain the theoretical and measured temperature deviations at the same point of the pipeline to be monitored; The leakage monitoring result is obtained by comparing the theoretical and measured temperature deviations at the same point and the theoretical and measured temperature deviation thresholds at the same point.

2. The method according to claim 1, characterized in that Obtaining a normalized grayscale value distribution of the measured temperature according to the real-time temperature measurement information includes: Obtaining the measured temperature distribution of the pipeline to be monitored according to the real-time temperature measurement information of the pipeline to be monitored; According to the average value of the theoretical temperature distribution of the pipeline to be monitored, the measured temperature distribution of the pipeline to be monitored is normalized to obtain the theoretical temperature normalized gray value distribution of the pipeline to be monitored.

3. The method according to claim 1, characterized in that After comparing the theoretical and measured temperature deviations at the same point and the thresholds of the theoretical and measured temperature deviations at the same point to obtain the leakage monitoring result, the method further includes: Obtaining secondary leakage monitoring results based on theoretical and measured temperature deviations at the same points of the pipeline to be monitored; The leakage monitoring results and the secondary leakage monitoring results are aggregated to obtain an overall leakage monitoring result.

4. The method according to claim 3, characterized in that The secondary leakage monitoring result is obtained based on the theoretical and measured temperature deviations at the same points of the pipeline to be monitored, including: Obtaining a threshold value of deviation between theoretical and measured temperatures in the same range of the pipeline to be monitored; Calculate the theoretical and measured temperature deviations of the same range of the pipeline to be monitored based on the theoretical and measured temperature deviations of the same point of the pipeline to be monitored; The theoretical and measured temperature deviation thresholds of the same range area and the theoretical and measured temperature deviations of the same range area are compared to obtain a secondary leakage monitoring result.

5. The method according to claim 4, characterized in that The method further comprises: When the secondary leakage monitoring shows an abnormal result, the area where the joints and pipelines coexist is filtered.

6. The method according to claim 1, characterized in that The comparing the theoretical temperature normalized gray value distribution and the measured temperature normalized gray value distribution to obtain the theoretical and measured temperature deviations at the same point of the pipeline to be monitored includes: At least transformation and rotation operations are performed on the skeletonization / central axis of the obtained measured temperature normalized grayscale distribution map and the obtained theoretical temperature normalized grayscale distribution map so that the two distribution maps are aligned to compare the theoretical temperature normalized grayscale value distribution and the measured temperature normalized grayscale value distribution.

7. The method according to claim 1, characterized in that The comparison of the theoretical and measured temperature deviations at the same point and the theoretical and measured temperature deviation thresholds at the same point to obtain a leakage monitoring result includes: When the deviation between the theoretical and the measured temperature at the same point is less than the threshold value of the deviation between the theoretical and the measured temperature at the same point, the leakage monitoring result is normal; When the deviation between the theoretical and the actually measured temperature at the same point is greater than the deviation threshold between the theoretical and the actually measured temperature at the same point, the leakage monitoring result obtained is abnormal.

8. A nuclear power plant pipeline leakage monitoring device, characterized in that: The device comprises: A data acquisition module is used to obtain the current status information and real-time temperature measurement information of the pipeline to be monitored; A theoretical distribution acquisition module is configured to obtain the theoretical temperature distribution of the pipeline to be monitored based on the corresponding relationship between the preset state information and the temperature distribution, and the current state information; obtain the average value of the theoretical temperature distribution of the pipeline to be monitored according to the theoretical temperature distribution of the pipeline to be monitored; and normalize the theoretical temperature distribution of the pipeline to be monitored according to the average value of the theoretical temperature distribution of the pipeline to be monitored to obtain a normalized grayscale value distribution of the theoretical temperature of the pipeline to be monitored; A measured distribution acquisition module, configured to obtain a normalized grayscale value distribution of the measured temperature based on the real-time temperature measurement information; The leakage analysis module is used to obtain a threshold value of a deviation between the theoretical and measured temperatures at the same point of the pipeline to be monitored; compare the normalized grayscale value distribution of the theoretical temperature with the normalized grayscale value distribution of the measured temperature to obtain a deviation between the theoretical and measured temperatures at the same point of the pipeline to be monitored; and compare the deviation between the theoretical and measured temperatures at the same point with the threshold value of the deviation between the theoretical and measured temperatures at the same point to obtain a leakage monitoring result.

9. The device according to claim 8, characterized in that The measured distribution acquisition module is further used to obtain the measured temperature distribution of the pipeline to be monitored based on the real-time temperature measurement information of the pipeline to be monitored; and normalize the measured temperature distribution of the pipeline to be monitored based on the average value of the theoretical temperature distribution of the pipeline to be monitored to obtain the theoretical temperature normalized grayscale value distribution of the pipeline to be monitored.

10. The device according to claim 8, characterized in that The nuclear power plant pipeline leakage monitoring device also includes a secondary leakage monitoring module, which is used to obtain secondary leakage monitoring results based on the theoretical and measured temperature deviations at the same points of the pipeline to be monitored; and to aggregate the leakage monitoring results and the secondary leakage monitoring results to obtain an overall leakage monitoring result.

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