Liquid leakage monitoring method, device, electronic device, and medium

Abstract

The present application provides a method, device, electronic device and medium for monitoring liquid leakage, the method for monitoring liquid leakage comprising: Acquire a liquid leakage monitoring image within the monitoring time range of the identification target area, and perform a process based on the liquid leakage monitoring image. determining liquid leakage status information of the target area using the liquid leakage status information; and detecting a liquid leakage in the target area in response to the liquid leakage status information. and acquiring a liquid leak sonic signal within a monitoring time range of the target area; Determine the first leakage grade of the target area based on the leakage sound signal, and determine the first leakage grade of the target area based on the leakage monitoring image. Obtain the second leakage grade of the target area, and determine the target area based on the first leakage grade and the second leakage grade. In the present application, a target liquid leakage monitoring result within a monitoring time range of the liquid leakage monitoring image and the liquid leakage monitoring result are obtained. Obtain target leakage monitoring results for the target area through sonic signals, and improve the accuracy of leakage monitoring results. ,Reduce the impact of leakage on the normal operation of hydroelectric power station, and ensure the stability and Safety can be improved.

Description

[Technical Field]

[0001] This application relates to the field of data processing, and in particular to a method, device, electronic device and medium for monitoring liquid leakage. do. [Background technology]

[0002] During the daily operation of a hydroelectric power plant, various types of water and oil leaks occur in multiple pipes installed at the plant. This may cause abnormalities and affect the normal operation of the hydroelectric power plant.

[0003] In the related art, the humidity in an area where multiple pipes installed in a hydroelectric power plant are located is monitored. This allows us to identify whether there are any water or oil leaks in the pipelines installed within the area. However, the humidity in the area where multiple pipelines are installed in a hydroelectric power plant varies depending on the humidity of the surrounding environment. The influence of humidity on the pipelines in the area can be used to determine whether there are water or oil leaks. This may have a certain impact on the accuracy of identification. Summary of the Invention [Problem to be solved by the invention]

[0004] The purpose of this application is to solve at least to some extent one of the technical problems existing in the above technology. The means for solving the invention

[0005] In a first aspect of the present application, there is provided a method for monitoring a liquid leak, comprising: monitoring a time period for an identified target area; A liquid leakage monitoring image within the range is acquired, and the target area is detected based on the liquid leakage monitoring image. determining leak status information and determining whether a leak exists in the target area in response to the leak status information; and acquiring a liquid leakage sound signal within the monitoring time range of the target area, and determining a first leakage level of the target area based on the leakage sonic signal; and identifying a second liquid leakage level of the target area based on the image, and A liquid leakage monitoring result within the monitoring time range of the target area is obtained based on the leakage grade.

[0006] The liquid leakage monitoring method provided in the first aspect of the present application further comprises the following technical features: include.

[0007] According to one embodiment of the present application, the presence of a leak in the target area is detected in response to the leak status information. and acquiring a liquid leakage sound signal within the monitoring time range of the target area, and determining a first leakage grade of the target area based on the leakage sonic signal, the first leakage grade including: A Fourier transform is performed on the liquid leakage sound signal, and a frequency corresponding to the liquid leakage sound signal is obtained. a frequency domain signal, and based on the frequency domain signal, a liquid leak within the monitoring time range of the target region is detected. determining a leakage frequency and a number of leakage drops, and based on the leakage frequency and / or the number of leakage drops The first liquid leakage rating of the target area is determined.

[0008] According to one embodiment of the present application, the method further includes: a standard corresponding to the standard liquid leakage grade; A liquid leakage frequency range is acquired, and a liquid leakage frequency is calculated based on the reference liquid leakage frequency range and the liquid leakage frequency. determining the first leakage rating of the target area based on the number of leakage drops; and / or The amount of liquid leakage per drop in the target area is determined and compared to the standard liquid leakage class. and obtaining a reference range of leakage amount corresponding to the reference range of leakage amount and the leakage amount. The first leakage rating of the target area is determined.

[0009] According to one embodiment of the present application, a liquid leakage monitoring image within the monitoring time range of the identification target area is acquired. and determining the liquid leakage status information of the target area based on the liquid leakage monitoring image, and The method includes: obtaining a trained target liquid leakage image recognition model; and applying the trained target liquid leakage image recognition model to the target liquid leakage image recognition model. and extracting an abnormal feature of the liquid leakage from the liquid leakage monitoring image based on the extracted abnormal feature of the liquid leakage. and identifying whether a liquid leak exists in the target area based on the Obtain leak status information.

[0010] In one embodiment of the present application, a second liquid leakage class of the target area is determined based on the liquid leakage monitoring image. Identifying, including: obtaining a reference relation between a reference liquid leakage grade and a reference liquid leakage area; The liquid leakage area in the target region is obtained based on the liquid leakage monitoring image, and the reference relation Based on the relation and the leakage area, the standard leakage class is calculated based on the leakage area. The second leakage grade is determined.

[0011] According to one embodiment of the present application, the object is classified based on the first leakage level and the second leakage level. Obtain a target leakage monitoring result within the monitoring time range of the region, including: the first leakage grade; is the same as the second leakage grade, The severity of the leakage is higher than the severity of the leakage indicated by the first leakage grade and / or the second leakage grade. At least one reference leak rating is obtained, and the target leak monitoring result in the target area is obtained. and in response to the difference between the first and second leakage grades, At least one group among them is located between the first liquid leakage class and the second liquid leakage class. A quasi-leakage grade is obtained, and the target leak monitoring result in the target area is obtained.

[0012] In a second aspect of the present application, there is provided a liquid leakage monitoring device, comprising: a first acquisition module; A liquid leakage image within a monitoring time range of another target area is acquired, and a previous image is acquired based on the liquid leakage image. A determination module is used to obtain information on the liquid leakage state in the target area, In response to the leak status information, the system indicates that a leak exists in the target area, and A liquid leakage sound wave signal is acquired within the monitoring time range, and the target area is detected based on the liquid leakage sound wave signal. The identification module is used to determine the first leakage level of the area, and the leakage monitoring image is a second acquisition module for identifying a second leakage level of the target area based on the second acquisition module; the monitoring time range of the target area based on the first liquid leakage level and the second liquid leakage level; It is used to obtain target liquid leakage monitoring results within.

[0013] The liquid leakage monitoring device provided in the second aspect of the present application further comprises the following technical features: include.

[0014] According to one embodiment of the present application, the determination module is also used in the following cases: Fourier transform processing is performed on the liquid leakage sound signal, and a frequency domain corresponding to the liquid leakage sound signal is obtained. and obtaining a leak frequency within the monitoring time range of the target region based on the frequency domain signal. determining the wave number and the number of leakage drops, and The first leakage rating of the target area is determined.

[0015] According to one embodiment of the present application, the determination module is also used in the following cases: a reference frequency range for the leak corresponding to the leak level is acquired, and the reference frequency range and the leak level are compared. determining the first leakage class of the target area based on the leakage frequency, and / or determining the amount of liquid leakage per drop in the target area based on the number of droplets; and A reference leakage amount range corresponding to the leakage grade is obtained, and the reference leakage amount range and the leakage amount are compared. The first liquid leakage class of the target area is determined based on the above.

[0016] According to one embodiment of the present application, the first acquisition module is also used in the following cases: training and obtaining a target liquid leakage image identification model based on the target liquid leakage image identification model. Extracting abnormal features of liquid leakage from the liquid leakage monitoring image, and determining the abnormal features of liquid leakage based on the extracted abnormal features of liquid leakage. Identifying whether a liquid leak exists in the target area, and Get information.

[0017] According to one embodiment of the present application, the identification module is also used for: and obtaining a reference relation between the leakage grade and the reference leakage area based on the leakage monitoring image. A liquid leakage area in the target area is acquired, and a liquid leakage area is calculated based on the reference relation and the liquid leakage area. and determining the second leakage class corresponding to the leakage area from the reference leakage class. .

[0018] According to one embodiment of the present application, the second acquisition module is also used in the following cases: In response to the first liquid leakage grade being the same as the second liquid leakage grade, The severity of the leakage in the first leakage class and / or the second leakage class is and obtaining at least one reference leak rating higher than the maximum leak rating of the target area. Obtaining a standard liquid leakage monitoring result, and responding to a difference between the first liquid leakage class and the second liquid leakage class The reference liquid leakage is a small amount that falls between the first liquid leakage class and the second liquid leakage class. Obtain at least one standard liquid leakage grade, and monitor the target liquid leakage in the target area. get.

[0019] In an embodiment of a third aspect of the present application, there is provided an electronic device, comprising: at least one processor; a memory communicatively coupled to the at least one processor, the memory comprising: storing instructions executable by at least one processor, said instructions and wherein the at least one processor is configured to execute the method of the present application. One aspect provides a method for monitoring for leaks.

[0020] In an embodiment of the fourth aspect of the present application, a non-instantaneous computer readable memory device having stored thereon computer instructions is provided. a storage medium that can store computer instructions, the storage medium storing computer instructions for storing the liquid leakage detection device according to the first aspect of the present application; This is used to cause a computer to execute the monitoring method.

[0021] In an embodiment of the fifth aspect of the present application, there is provided a computer program product, When executed by an instruction processor in the data program product, the first aspect of the present application provides The monitoring method is then implemented. [Effects of the Invention]

[0022] The liquid leakage monitoring method and device provided by this application are for monitoring liquid leakage within the monitoring time range of the identification target area. Obtaining a visual image and determining the leakage status information of the target area based on the leakage monitoring image; If the leak status information indicates that a leak exists in the target area, the monitoring time range for the target area Acquire the leak sound signal within the area to obtain the first leak grade of the target area, and then display the leak monitoring image. Based on the image, the second liquid leakage grade of the target area is obtained, and the first liquid leakage grade and the second liquid leakage grade are further calculated. Based on the grade, a target liquid leakage monitoring result is obtained within the monitoring time range of the target area. Obtain the target liquid leakage monitoring result of the target area through the leak monitoring image and the liquid leakage sound wave signal, and There is no need to monitor the leakage status depending on the humidity in the area, and the accuracy of the leakage monitoring results is high. Improve the efficiency of the system, optimize the leakage monitoring method, and reduce the impact of leakage on the normal operation of hydropower plants. This can reduce the risk of flooding and improve the stability and safety of hydroelectric power plant operation.

[0023] Additional aspects and advantages of the present application are described in part in the following description, some of which are set forth below. These will become apparent from the description or may be learned by practice of the present application. [Brief explanation of the drawings]

[0024] The advantages of the above and / or additional aspects of the present application will become apparent from the following detailed description of the embodiments taken in conjunction with the accompanying drawings. This is clear and easy to understand, [Figure 1] 1 is a flow chart of a method for monitoring liquid leakage according to an embodiment of the present application. [Figure 2] 4 is a flow chart of a liquid leakage monitoring method according to another embodiment of the present application. [Figure 3] 4 is a flow chart of a liquid leakage monitoring method according to another embodiment of the present application. [Figure 4] FIG. 2 is a schematic diagram of the structure of a liquid leakage monitoring device according to another embodiment of the present application. [Figure 5] FIG. 1 is a block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION OF THE INVENTION

[0025] The embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the drawings. Among them, the same or similar symbols indicate the same or similar elements or have the same or similar functions. The embodiments described below with reference to the drawings are examples for explaining the present application. and are not to be construed as limiting the present application.

[0026] Hereinafter, a liquid leakage monitoring method, device, electronic device, and medium according to embodiments of the present application will be described with reference to the drawings. .

[0027] FIG. 1 is a flow chart of a method for monitoring liquid leakage according to an embodiment of the present application. As shown in FIG. includes the following:

[0028] S101, acquiring a liquid leakage monitoring image within a monitoring time range of an area to be identified, and Leak status information of the target area is determined based on the image.

[0029] In the embodiment of the present application, the area in the hydroelectric power plant where liquid leakage monitoring is required is identified as a target area. where an image acquisition device is installed in the target area and image acquisition is performed. Image acquisition of the area of ​​interest can be performed through the device.

[0030] Here, an image of the target area collected by the image collecting device within the monitoring time range is acquired, and can be used as a liquid leakage monitoring image within the monitoring time range of the target area.

[0031] Alternatively, the liquid leakage monitoring image is processed based on an image processing method according to the related art, and the image is Based on the results of the processing, it can be determined whether or not there is a leak in the target area.

[0032] Furthermore, based on the confirmed information on whether there is a liquid leak in the target area, This generates status information.

[0033] The leak status information includes information indicating that a leak exists in the target area, information indicating that a leak exists in the target area, and information indicating that a leak exists in the target area. It can be understood that the information contained in this document indicates that the

[0034] S102, in response to the liquid leakage status information, indicating that a liquid leakage exists in the target area; Acquire a liquid leakage sound signal within the monitoring time range, and determine the target area based on the liquid leakage sound signal. Determine the first leakage grade.

[0035] Alternatively, if the leak status information includes information indicating that a leak exists, It can be determined that a leak exists in the area.

[0036] In this case, the liquid leakage sonic signal is monitored by a sonic signal collecting device installed in the target area. Acoustic signals within a region of interest over a time range can be acquired.

[0037] Furthermore, the liquid leakage acoustic signal is processed based on the acoustic signal analysis method according to the related art; and Based on the processing result, the liquid leakage information in the target area obtained based on the liquid leakage sound wave signal is identified. do.

[0038] In the embodiment of the present application, the detailed liquid leakage parameters included in the liquid leakage information are The severity of the leak condition can be embodied, in which case the severity of the leak can be preset. Get the corresponding grade and detailed leakage parameters included in the leakage information from every grade and obtain a grade related to the first leak grade of the target area obtained based on the leak sound signal. Let's say.

[0039] S103, identifying a second leakage level of the target area based on the leakage image.

[0040] When it is determined that a liquid leak exists in the target area based on the liquid leak monitoring image, The liquid leakage monitoring image is analyzed based on the image analysis method in The leak severity of the region of interest in the leak monitoring image can be identified.

[0041] Alternatively, a grade corresponding to a preset severity of the leak can be obtained and the corresponding leak identified in the image can be displayed. The severity of the leak in the target area in the leak monitoring image can be graded from all levels. The grade to which the severity of the liquid leakage belongs can be determined as the second liquid leakage grade of the target area.

[0042] S104, within the monitoring time range of the target area based on the first liquid leakage level and the second liquid leakage level. Obtain leak monitoring results.

[0043] In order to accurately obtain the leakage grade in the target area, in the embodiment of the present application, The first and second leakage classes are integrated to obtain the target leakage monitoring results within the monitoring time range of the target area. This can be done.

[0044] Alternatively, a preset level integration strategy is obtained, and the first liquid leakage is detected based on the level integration strategy. The leakage grade and the second leakage grade can be processed together.

[0045] For example, the leakage classes are A+, A, A-, B+, B-, C+, and C-. In this case, the first leakage level can be set to A and the second leakage level can also be set to A. Based on the pre-set classification strategy, the first leakage class of A and the second leakage class of A are Based on the integrated results, the first leakage class is classified as Class A and the second leakage class is classified as Class B. When the class is Class A, the target liquid leakage monitoring result can be obtained in the target area.

[0046] The liquid leakage monitoring method provided by the present application is a method of detecting a liquid leakage monitoring image within a monitoring time range of an area to be identified. and determining the liquid leakage status information of the target area based on the liquid leakage monitoring image, and If the condition information indicates that a liquid leak exists in the target area, The leak sound signal is acquired to obtain the first leak grade of the target area, and then the leak monitoring image is used to The second leakage class of the target area is obtained by the first leakage class and the second leakage class. Based on this, a target liquid leakage monitoring result within the monitoring time range of the target area is obtained. Obtain the target liquid leakage monitoring results for the target area through images and liquid leakage sonic signals, There is no need to monitor the leakage status depending on the humidity level, which improves the accuracy of the leakage monitoring results. Optimize the leakage monitoring method to reduce the impact of leakage on the normal operation of hydroelectric power plants. It can improve the stability and safety of hydroelectric power plant operation.

[0047] In the above example, the determination of the first leakage grade can be further understood by referring to FIG. FIG. 2 is a flow chart of a method for monitoring liquid leakage according to another embodiment of the present application. Thus, the method includes:

[0048] S201, performing Fourier transform processing on the liquid leakage sound signal, Obtain the frequency domain signal.

[0049] Alternatively, the leak sonic signal collected within the monitoring time range of the target area may include the presence of a leaking liquid in the target area. The passages carry acoustic signals corresponding to conditions such as leaks and drips.

[0050] In this case, the liquid leakage sound signal is subjected to Fourier transform processing, and the liquid leakage sound signal is converted into a time domain signal. The signal can be transformed into a frequency domain signal.

[0051] S202, based on the frequency domain signal, the leakage frequency and leakage within the monitoring time range of the target area are determined. Determine the number of drops.

[0052] Alternatively, detailed signal parameters in the liquid leakage sound signal can be extracted based on a signal processing method according to the related art. Extract meters and monitor time ranges of interest based on extracted detailed signal parameters The leakage frequency and number of leakage drops can be determined.

[0053] S203, determine the first leakage class of the target area based on the leakage frequency and / or the number of leakage drops. Determine.

[0054] As a feasible form, a reference liquid leakage frequency range corresponding to the reference liquid leakage class is obtained, and the reference Determine the first leakage class of the target area based on the leakage frequency range and leakage frequency. can be done.

[0055] In the embodiment of the present application, all reference fluid leak frequency ranges can be obtained, and each reference fluid leak The leakage frequency range can correspond to one standard leakage class. The standard liquid leakage class corresponding to the standard liquid leakage frequency range in which the This can be determined as the first leakage grade in the

[0056] Another possible implementation is to calculate the leakage per drop in the target area based on the number of leakage drops. The amount is determined, and the standard leakage amount range corresponding to the standard leakage class is obtained. A first leakage grade can be determined for the target area based on the extent and amount of leakage.

[0057] In the embodiment of the present application, the actual appearance parameters in the target region and the liquid leakage monitoring image are compared. Obtaining the correlation with the appearance parameters and the leakage area in the leakage monitoring image; and Based on this correlation and the area of ​​the liquid leakage in the liquid leakage monitoring image, the liquid leakage in the target area is detected. The actual area of ​​the liquid leakage that occurred can be obtained.

[0058] Alternatively, an actual liquid leakage area in a target region acquired based on a liquid leakage monitoring image; The number of liquid leakage droplets occurring within the monitoring time range of the target area obtained based on the liquid leakage sonic signal is calculated. The liquid leakage per drop within the monitoring time range of the target area is calculated based on the result of the division. The amount of leakage can be determined.

[0059] In addition, all reference leakage ranges are acquired, and each reference leakage range is one reference leakage, etc. In this case, the leakage amount can be determined based on the reference leakage amount range. The standard leakage class can be determined as the first leakage class within the monitoring time range of the target area. Cut.

[0060] The present application provides a method for monitoring liquid leakage based on a liquid leakage monitoring image and a liquid leakage acoustic signal. Obtain the results of leak monitoring in the area and monitor the leak status based on the humidity in the target area. This eliminates the need for a leak detector, improves the accuracy of leak monitoring results, optimizes leak monitoring methods, and ensures that leaks are detected as water. Reduce the impact on the normal operation of the hydroelectric power plant and improve the stability and safety of the operation of the hydroelectric power plant. It is possible.

[0061] In the above embodiment, the determination of the target liquid leakage monitoring result can be further understood by referring to FIG. FIG. 2 is a flow chart of a method for monitoring liquid leakage according to another embodiment of the present application, and is shown in FIG. As such, the method includes:

[0062] S301, obtain a trained target liquid leakage image recognition model;

[0063] Here, we obtain a liquid leakage image recognition model to train and also calculate the past liquid leakage in the target region. The leak image recognition model is trained based on the image and past leak status information. By performing training up to this point, a trained target liquid leakage image recognition model can be obtained.

[0064] S302, extracting abnormal features of liquid leakage from liquid leakage monitoring images based on the target liquid leakage image recognition model; and then, based on the leakage abnormality features, identify whether there is leakage in the target area; Obtain information on the liquid leakage status.

[0065] In this realization, the pipeline where the leak occurred and the ground around the pipeline, and the pipeline where the leak did not occur were There may be differences in appearance characteristics between the pipeline and the ground surrounding the pipeline.

[0066] In this case, a liquid leakage monitoring image is input to a trained target liquid leakage image recognition model, and the target liquid leakage image is identified. The features of the liquid leakage monitoring image are extracted based on the leak image recognition model, and the liquid leakage in the liquid leakage monitoring image is detected. The abnormal features are the appearance of the pipeline where the leak occurred and the ground around the pipeline in the leak monitoring image. Image features similar to the features can be obtained.

[0067] Alternatively, the target liquid leakage image identification model may be configured to identify the target area based on the extracted liquid leakage abnormality features. It is possible to determine whether there is a leak in the target area. When the device extracts the abnormal leakage feature, it detects whether a leakage exists within the target area corresponding to the leakage monitoring image. The target leak image recognition model can extract leak abnormality features. If not, it can be determined that there is no leakage in the leakage monitoring image. .

[0068] Furthermore, based on the classification results of the target liquid leakage image classification model, the liquid leakage status information of the target area is calculated. obtain.

[0069] S303, identifying a second leakage level of the target area based on the leakage monitoring image.

[0070] If a leak is detected in the target area based on the leak monitoring image, and identifying the severity of the leak in the target area based on the monitored image, and further determining whether a second leak in the target area has occurred. You can also get a grade.

[0071] Alternatively, the target liquid leakage image recognition model may provide an indication of whether or not a liquid leakage exists in the target region. The system outputs the abnormal leakage characteristics and identifies the severity of the leakage in the target area based on the extracted abnormal leakage characteristics. Furthermore, a second leakage rating for the target area can be obtained.

[0072] Here, the reference relation between the reference leakage grade and the reference leakage area is obtained, and the leakage monitoring The liquid leakage area in the target area is obtained based on the visual image, and the reference correlation and the liquid leakage area are calculated. Based on the product, a second leakage grade corresponding to the leakage area is determined from the reference leakage grade.

[0073] In the embodiment of the present application, a corresponding reference relation between the reference leakage grade and the reference leakage area is Here, the target liquid leakage image identification model is used to identify abnormal liquid leakage in the extracted liquid leakage monitoring image. Based on the characteristics, the area of ​​the leak within the region of interest can be determined.

[0074] Or, the correspondence between the appearance parameters of the liquid leakage monitoring image and the appearance parameters of the target area, The target liquid leakage image recognition model obtains the area corresponding to the extracted abnormal liquid leakage features, and Based on the correspondence and the area in the extracted leak image, the actual area in the target region is calculated. A liquid leakage area of ​​100 mm can be obtained.

[0075] Furthermore, among all the reference leakage areas, the reference leakage area corresponding to the actual leakage area in the target area is The leakage area is acquired, and the standard leakage grade corresponding to this standard leakage area is calculated for the target area. It is classified as the second leakage class.

[0076] S304, the target within the monitoring time range of the target area based on the first and second liquid leakage grades Obtain leak monitoring results.

[0077] Alternatively, the first leakage class is the same as the second leakage class, and the reference leakage class is The severity of the leak in the first and / or second leak classes is greater than the severity of the leak indicated by the first and / or second leak classes. Obtain at least one standard leak rating higher than the target leak monitoring result in the target area. Get results.

[0078] For example, the standard leakage classes to be set are A+, A, A-, B+, B, and B-. , C+ class, C class and C- class, where A+ class indicates the severity of leakage, and all the standard leakage The severity of the leak is higher than the severity of the leak indicated by the standard leak grades except for the A+ grade. The severity of leakage indicated by - is the standard leakage level for all standard leakage levels except C-. are lower than the respective leakage severity levels indicated by

[0079] The first leakage class is set as Class B, and the second leakage class is set as Class B. In this case, Class A+, Class A- and Obtain at least one standard leak rating with a leak severity higher than B, including B+ rating This allows for the determination of a leakage class B+ from the standard leakage class of the part in question. Additionally, a target leak monitoring result for the area of ​​interest can be generated.

[0080] Alternatively, in response to the difference between the first liquid leakage grade and the second liquid leakage grade, At least one standard leakage class between the first and second leakage classes and obtain the target liquid leakage monitoring result in the target area.

[0081] For example, the standard leakage classes to be set are A+, A, A-, B+, B, and B-. , C+ class, C class and C- class, where A+ class indicates the severity of leakage, and all the standard leakage The severity of the leak is higher than the severity of the leak indicated by the standard leak grades except for the A+ grade. The severity of leakage indicated by - is the standard leakage level for all standard leakage levels except C-. are lower than the respective leakage severity levels indicated by

[0082] The first leakage class is set as Class A and the second leakage class is set as Class C. In this case, the first leakage class and the second leakage class are set as Class A and Class C. At least one of the following leakage classes is included: A+, B+, B-, and C+. A standard leakage rating can be obtained, which allows one of the standard leakage ratings for the part to be selected. It can determine the leakage class B and generate target leakage monitoring results for the target area. do.

[0083] The present application provides a method for monitoring liquid leakage based on a liquid leakage monitoring image and a liquid leakage acoustic signal. Obtain the results of leak monitoring in the area and monitor the leak status based on the humidity in the target area. This eliminates the need for a leak detector, improves the accuracy of leak monitoring results, optimizes leak monitoring methods, and ensures that leaks are detected as water. Reduce the impact on the normal operation of the hydroelectric power plant and improve the stability and safety of the operation of the hydroelectric power plant. It is possible.

[0084] In response to the liquid leakage monitoring method provided in the above embodiments, one embodiment of the present application further The liquid leakage monitoring device provided in the embodiments of the present application can be used in the above several Since the embodiment corresponds to the liquid leakage monitoring method provided, the embodiment of the liquid leakage monitoring method This also applies to the liquid leakage monitoring device provided in the embodiments of this application, and will be described in detail in the following embodiments. do not.

[0085] FIG. 4 is a schematic diagram of the structure of a liquid leakage monitoring device according to an embodiment of the present application. The leak monitoring device 400 includes a first acquisition module 41, a determination module 42, and an identification module a second acquisition module 43 and a second acquisition module 44,

[0086] The first acquisition module 41 acquires an image of a liquid leakage within a monitoring time range of the area to be identified, and The image is used to obtain information on the state of leakage in the target area based on the image.

[0087] A determination module 42, responsive to the leak status information, indicates that a leak exists in the target area. , obtain the liquid leakage sound signal within the monitoring time range of the target area, and based on the liquid leakage sound signal, It is used to determine the first leakage grade of the area.

[0088] The identification module 43 identifies the second leakage level of the target area based on the leakage monitoring image. It is used in the following ways.

[0089] a second acquisition module (44) for monitoring the target area based on the first and second leakage grades; It is used to obtain target leak monitoring results within a range.

[0090] According to one embodiment of the present application, the determination module 42 is also used in the following cases: The Fourier transform processing is performed on the wave signal to obtain a frequency domain signal corresponding to the liquid leakage sound wave signal. Based on the frequency domain signal, the leakage frequency and the number of leakage droplets within the monitoring time range of the target area are determined. and determine the first leakage class for the target area based on the leakage frequency and / or number of leakage drops. do.

[0091] According to one embodiment of the present application, the determination module 42 is also used in the following cases: The reference liquid leakage frequency range corresponding to the leakage class is acquired, and the reference liquid leakage frequency range and the liquid leakage frequency are compared. and / or determining a first leakage grade for the target area based on the number of leakage drops. Determine the amount of liquid leakage per drop in the target area and set the standard corresponding to the standard liquid leakage grade. The range of the leakage amount is acquired, and the first leakage in the target area is determined based on the reference leakage amount range and the leakage amount. Determine the grade.

[0092] According to one embodiment of the present application, the first acquisition module 41 is also used in the following cases: training The target liquid leakage image recognition model is obtained, and the liquid leakage is detected based on the target liquid leakage image recognition model. The liquid leakage abnormality features are extracted from the monitoring image, and the presence of the liquid leakage in the target area is detected based on the liquid leakage abnormality features. The presence or absence of a liquid leak is identified to obtain information on the liquid leak status in the target area.

[0093] According to one embodiment of the present application, the identification module 43 is also used for: Obtain the reference relation between the leakage grade and the reference leakage area, and then measure the target based on the leakage monitoring image. The liquid leakage area in the region is obtained, and the reference liquid is calculated based on the reference correlation and the liquid leakage area. A second leakage class corresponding to the leakage area is determined from the leakage class.

[0094] According to one embodiment of the present application, the second acquisition module 44 is also used in the following cases: The leakage level is the same as the second leakage level, and the leakage level in the standard leakage level is The severity is higher than the severity of the first and / or second leakage classes. Each liquid leakage class is obtained as a standard, and the target liquid leakage monitoring result is obtained in the target area. In response to the difference between the leak class and the second leak class, the first leak class and the second leak class are Obtain at least one standard leakage rating between the two leakage ratings and Obtain the target liquid leakage monitoring results.

[0095] The liquid leakage monitoring device provided by the present application displays a liquid leakage monitoring image within a monitoring time range of an identification target area. and determining the liquid leakage status information of the target area based on the liquid leakage monitoring image, and If the condition information indicates that a liquid leak exists in the target area, The leak sound signal is acquired to obtain the first leak grade of the target area, and then the leak monitoring image is used to The second leakage class of the target area is obtained by the first leakage class and the second leakage class. Based on this, a target liquid leakage monitoring result within the monitoring time range of the target area is obtained. Obtain the target liquid leakage monitoring results for the target area through images and liquid leakage sonic signals, There is no need to monitor the leakage status depending on the humidity level, which improves the accuracy of the leakage monitoring results. Optimize the leakage monitoring method to reduce the impact of leakage on the normal operation of hydroelectric power plants. It can improve the stability and safety of hydroelectric power plant operation.

[0096] To achieve the above embodiments, the present application further provides electronic equipment, computer readable A storage medium and a computer program product are provided.

[0097] FIG. 5 is a block diagram of an electronic device according to an embodiment of the present application. As shown in FIG. 5, the electronic device 5 00 is stored in memory 51, processor 52, and memory 51 and runs on processor 52 and a program that can be used to program the processor 52. This realizes a liquid leakage monitoring method that implements the embodiment of FIGS.

[0098] To achieve the above embodiments, the present application further provides a computer program product, The computer instructions cause the computer to perform the leak monitoring method of the embodiment of FIGS. 1 to 3. It is used for

[0099] To achieve the above embodiment, the present application further provides a non-instantaneous computer having stored thereon computer instructions. providing a computer-readable storage medium for storing instructions for a computer program product; When the sensor is executed, the liquid leakage monitoring method of the embodiment of FIGS. 1-3 is executed.

[0100] In the description herein, the terms "in one embodiment," "some embodiments," "examples," and "specific examples" may be used interchangeably. A description that refers to "an example" or "some examples" or the like is in reference to that example or example. The particular features, structures, materials, or characteristics described may be present in at least one embodiment or part of this application. In this specification, the general expressions of the above terms are not necessarily Furthermore, the specific features, structures, and / or components described herein may be different from or be different from each other. , materials, or features may be combined in any suitable manner in any one or more embodiments or examples. In addition, if not mutually inconsistent, a person skilled in the art can easily understand the different methods described herein. The embodiments or examples may be combined and / or combined together, and features of different embodiments or examples may be combined and / or combined together. Cut.

[0101] Furthermore, the terms "first" and "second" are used for descriptive purposes and do not indicate or imply relative importance. It cannot be understood that the invention indicates or implicitly indicates the number of technical features indicated. Therefore, the features that define "first" and "second" must explicitly or implicitly include at least one feature. In the description of this application, "plurality" means "a plurality of" unless otherwise clearly specified. means that there are at least two, e.g., two, three, etc.

[0102] Flowcharts or other process or method descriptions described herein may be based on custom logic. A module of executable code, a program, or a program that implements instructions to implement a function or a process step. It can be understood to represent a segment or part of the preferred embodiment of the present application. Regarding the scope, a person skilled in the art who belongs to the embodiments of this application can understand the basics based on such functions. This includes performing the steps simultaneously or in reverse order, not in the order shown or discussed. This can be achieved in other ways.

[0103] Logic and / or procedures shown in flow charts or otherwise described herein, e.g., Think of it as a sequential list of executable instructions used to implement a logic function. may be an instruction execution system, apparatus or device (such as a computer-based system, processor, A system including a processor, or an instruction execution system, apparatus, or device any computer-readable medium for use in conjunction with any other system that can be run on it These instructions may be stored on a programmable medium or may be executed by a system, apparatus, or device. In the context of this specification, "computer-readable medium" means a "Entity" refers to an instruction execution system, apparatus, or device, or Any computer program, including a program for use in conjunction with a computer system or device, for storage, communication, propagation or The computer-readable medium may be any device capable of transmitting the information. A more specific example (non-limiting list) is an electrical connection (electronic) having one or more wires. (magnetic devices), portable computer hard disk cartridges (magnetic devices), and random RAM, read-only memory (ROM), and erasable, editable read-only memory (ROM). Read-only memory (EPROM flash memory), fiber optic devices, and portable and computer-readable optical disk read-only memory (CDROM). Removable media may involve, for example, optical scanning of paper or other media, followed by editing, translation, or or, if necessary, process it in any other suitable way to obtain said program by electronic means and A paper or other suitable medium on which a program stored in the computer's memory can be printed. Good too.

[0104] Each part of this application may be hardware, software, firmware, or a combination thereof. It should be understood that in the above embodiments, multiple steps or methods may be implemented. , software or files stored in memory and executed by a suitable instruction execution system. For example, in the case of hardware implementation, If the same as another embodiment, one or more of the following known techniques in the art is realized by the combination of: Discrete logic circuits with logic gate circuits, appropriate combinational logic gate circuits Dedicated integrated circuits with programmable gate arrays (PGAs), field programmable FPGAs, etc.

[0105] Those skilled in the art will understand that all or part of the procedures for realizing the methods of the above embodiments can be implemented by a program. The program can then instruct the associated hardware to complete the It can be stored in a computer-readable storage medium and can be used to execute the program. When used herein, the method may include one or a combination of the steps of the method embodiments.

[0106] In addition, each functional unit in each embodiment of the present application is integrated into one processing module, Or each unit may exist physically separately, or two or more units may be combined into one module. The integrated module may be in the form of hardware or software. The integrated modules can be realized in the form of software functional modules. When implemented as a functional module and sold or used as an independent product, It may be stored on a computer-readable storage medium.

[0107] The storage medium described above may be a read-only memory, a magnetic disk, an optical disk, etc. Although the embodiments of the present application have been shown and described above, the above embodiments are merely illustrative. The above-mentioned implementations should not be understood as limitations on the present application, and those skilled in the art will be able to implement the above-mentioned implementations within the scope of the present application. It should be understood that the examples can be changed, modified, substituted, and varied.

Claims

[Claim 1] 1. A method for monitoring a liquid leak, the method comprising: Acquire a liquid leakage monitoring image within a monitoring time range of the identification target area, and determining liquid leakage status information of the target area based on the liquid leakage monitoring image; indicating the presence of a leak in the target area in response to the leak status information; Within the monitoring time range of the target area by an acoustic signal collecting device installed in the target area Acquiring a leak sonic signal of determining a first leak level for the target area based on the leak sonic signal; Identifying a second leakage class of the target area based on the leakage monitoring image; Within the monitoring time range of the target area based on the first liquid leakage level and the second liquid leakage level. Obtaining the results of liquid leakage monitoring, Acquire a liquid leakage monitoring image within a monitoring time range of the identification target area, and Determine liquid leakage status information of the target area based on the liquid leakage monitoring image, including: Obtain a trained target liquid leakage image recognition model; Extracting abnormal liquid leakage features from the liquid leakage monitoring image based on the target liquid leakage image identification model. And, Identifying whether a leak exists in the region of interest based on the leak anomaly feature; obtaining the liquid leakage status information in the target area; Identify a second leakage grade of the target area based on the leakage monitoring image, including: Obtain a reference relation between the reference leakage grade and the reference leakage area; Obtaining a liquid leakage area in a target region based on the liquid leakage monitoring image; and Based on the reference relation and the leakage area, the reference leakage class is calculated. determining the second leakage class corresponding to Within the monitoring time range of the target area based on the first liquid leakage level and the second liquid leakage level. Obtain target leak monitoring results, including: In response to the first leakage rating being the same as the second leakage rating, The severity of the leakage in the standard leakage class is equal to or greater than the first leakage class and / or the second leakage class. Obtain at least one reference leak rating that is higher than the leak severity indicated by the leak rating; obtaining the target leak monitoring result in the target area; In response to the first leakage level being different from the second leakage level, At least one of the reference liquid leakage levels located between the first liquid leakage level and the second liquid leakage level Both have acquired a standard leakage rating, Obtaining a monitoring result of the target liquid leak in the target area; Obtain a liquid leakage image recognition model to train, and use past liquid leakage images and The leak image recognition model is trained based on the leak state information and past leak state information until training is completed. Then, a trained target leak image recognition model is obtained. Leak monitoring method.

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