CN111044149A - Method and device for detecting temperature abnormal point of voltage transformer and readable storage medium - Google Patents
Method and device for detecting temperature abnormal point of voltage transformer and readable storage medium Download PDFInfo
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Abstract
The application discloses a method and a device for detecting a temperature abnormal point of a voltage transformer and a computer readable storage medium. The method comprises the steps of obtaining an infrared image of an image area where a voltage transformer to be detected is marked, and setting the number information of the voltage transformer to be detected for the infrared image; calculating the average value of the temperature values of all pixel points in the target area, and determining target pixel points higher than the average value in the target area; grouping target pixel points according to a preset pixel point distance relation, and determining a fault area group according to a preset fault detection condition; finally, according to the fact that the temperature abnormal points are marked in the target area by the pixel points contained in the fault area group, the temperature abnormal points of the voltage transformer can be detected in real time, the problem that misdetection is caused by the fact that timeliness and picture storage capacity are large and the misdetection is not standard in the related technology is solved, and the detection accuracy of the temperature abnormal points of the voltage transformer is improved.
Description
Technical Field
The present disclosure relates to the field of infrared device fault detection technologies, and in particular, to a method and an apparatus for detecting a temperature abnormal point of a voltage transformer, and a computer-readable storage medium.
Background
With the proposition, implementation and promotion of intelligent operation and inspection technologies, the advantages of intelligent operation and inspection systems based on the internet plus and operation and inspection and maintenance are increasingly highlighted, such as the improvement of operation and inspection work efficiency, the improvement of equipment state control capability, the improvement of operation and inspection management penetration, the realization of operation and inspection data communication, high-level application and the like.
With the prominent effect and wide application of infrared equipment in the live detection of the voltage transformer, the infrared equipment is generally adopted for operation and detection. The electric power company finds that the method of manually marking abnormal points on site in real time while photographing by using an infrared thermometer under the influence of site environment and light rays in daily routing inspection is basically impossible to perform on site. Therefore, in the related technology, the photos are usually stored and then returned to the room to be marked on the computer, so that the detection and the overhaul of abnormal points lack timeliness, and power accidents are easily caused; secondly, infrared image data are continuously increased rapidly, the traditional storage mode based on a file system cannot meet the requirements of quick retrieval and efficient processing, and a large number of infrared pictures are stored, so that workers are difficult to match real objects in the pictures with displayed voltage transformers one by one, and false detection is caused; in addition, because voltage transformer generates heat unusually and belongs to voltage type heating, be difficult for discovering, cause to detect the efficiency not high.
In view of this, how to detect the abnormal temperature of the voltage transformer accurately and efficiently in real time is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The application provides a method and a device for detecting a temperature abnormal point of a voltage transformer and a computer readable storage medium, which can detect the temperature abnormal point of the voltage transformer in real time, solve the problem of false detection caused by high timeliness and picture storage capacity and non-standardization in the related technology, and improve the detection accuracy of the temperature abnormal point of the voltage transformer.
In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:
the embodiment of the invention provides a method for detecting a temperature abnormal point of a voltage transformer on one hand, which comprises the following steps:
acquiring an infrared image containing a voltage transformer to be detected, marking a target area where the voltage transformer to be detected is located in the infrared image, and generating identification information of the infrared image, wherein the identification information is serial number information of the voltage transformer to be detected;
calculating the average value of the temperature values of all pixel points in the target area, and determining target pixel points which are higher than the average value in the target area;
grouping target pixel points according to a preset pixel point distance relation, and determining a fault area group according to a preset fault detection condition;
and automatically marking temperature abnormal points in the target area according to all pixel points contained in the fault area group.
Optionally, the calculating an average value of the temperature values of all the pixel points in the target region, and determining the target pixel point higher than the average value in the target region includes:
generating an initial temperature matrix according to the temperature values of all pixel points in the target area;
calculating the average value of all elements in the initial temperature matrix to be used as the initial temperature average value;
elements lower than the initial temperature average value are removed from the initial temperature matrix to generate a temperature matrix;
calculating the average value of the temperature values of all elements of the temperature matrix to be used as the temperature average value;
and selecting elements which are not less than the average temperature value from the temperature matrix, and taking pixel points corresponding to the elements as target pixel points in the target area.
Optionally, the grouping the target pixel points according to the preset pixel point distance relationship includes:
determining the same group of target pixel points with the Euclidean distance to the current target pixel point as the preset number of pixels from each non-grouped target pixel point;
classifying the current target pixel points and the target pixel points in the same group into a first fault detection area group;
sequentially calculating Euclidean distances between other ungrouped target pixel points and the same group of target pixel points, and dividing the target pixel points of which the Euclidean distances are equal to the preset number of pixels into the first fault detection area group; until there is no target pixel point whose Euclidean distance from each target pixel point in the first fault detection area group is equal to the preset number of pixels;
if non-grouped target pixel points exist, any one pixel point in the non-grouped target pixel points is used as a current target pixel point, the steps are executed in a circulating mode until the non-grouped target pixel points do not exist, so that a plurality of fault detection area groups are generated to be selectable, and the fault area groups are determined according to preset fault detection conditions:
the preset fault detection condition is that if the total number of target pixel points contained in the current fault detection area group is greater than a preset group number threshold value, the current fault detection area group is a fault area group; if the total number of target pixel points contained in the current fault detection area group is not greater than the group number threshold, the current fault detection area group is a suspected fault area group;
correspondingly, after automatically marking temperature abnormal points in the target area according to each pixel point included in the fault area group, the method further includes:
and automatically marking suspected temperature abnormal points in the target area according to all pixel points contained in the suspected fault area group, wherein the suspected temperature abnormal points and the temperature abnormal points are marked in different modes.
Optionally, the acquiring an infrared image including the voltage transformer to be detected includes:
pre-training a target recognition model; the target identification model is obtained by training a convolutional neural network structure by utilizing a sample data set, the sample data set comprises a plurality of sample images, and each sample image is an infrared image marked with a voltage transformer area;
and inputting the original infrared image into the target identification model to obtain the infrared image which is marked on the target area where the voltage transformer to be detected is located.
Optionally, the automatically marking the temperature anomaly point in the target area according to each pixel point included in the fault area group is:
determining a central target pixel point positioned at a central position from all target pixel points contained in the fault area group;
selecting a first target pixel point with the farthest linear distance with the central target pixel point from all target pixel points contained in the fault area group;
and automatically generating a circular area by taking the central target pixel point as a circle center and the linear distance between the central target pixel point and the first target pixel point as a radius, wherein each pixel point in the circular area is used as a temperature abnormal point of the voltage transformer to be detected.
Optionally, after automatically marking a temperature abnormal point in the target area according to each pixel point included in the fault area group, the method further includes:
and outputting the coordinate information of the target area, the position information of each temperature abnormal point and the equipment parameter information of the voltage transformer to be detected to be used as the attribute information of the infrared image for storage.
Another aspect of the embodiments of the present invention provides a temperature anomaly point detection apparatus for a voltage transformer, including:
the device comprises an area marking module and a processing module, wherein the area marking module is used for acquiring an infrared image containing a voltage transformer to be detected, marking a target area where the voltage transformer to be detected is located in the infrared image, and meanwhile setting the serial number information of the voltage transformer to be detected for the infrared image;
the suspected pixel point determining module is used for calculating the average value of the temperature values of all the pixel points in the target area and determining the target pixel points which are higher than the average value in the target area;
the fault area determining module is used for grouping the target pixel points according to the preset pixel point distance relationship and determining a fault area group according to the preset fault detection condition;
and the temperature abnormal point determining module is used for marking the temperature abnormal points in the target area according to the pixel points contained in the fault area group.
The embodiment of the present invention further provides a device for detecting a temperature abnormal point of a voltage transformer, which includes a processor, where the processor is configured to implement the steps of the method for detecting a temperature abnormal point of a voltage transformer according to any one of the foregoing embodiments when executing a computer program stored in a memory.
Finally, an embodiment of the present invention provides a computer-readable storage medium, where a temperature abnormal point detection program of a voltage transformer is stored on the computer-readable storage medium, and when the temperature abnormal point detection program of the voltage transformer is executed by a processor, the steps of the method for detecting a temperature abnormal point of the voltage transformer are implemented as in any of the foregoing.
The technical scheme provided by the application has the advantages that the corresponding relation between the infrared image and the voltage transformer on the infrared image is established while the area where the voltage transformer is marked on the infrared map of the front-end voltage transformer is obtained, so that the subsequent storage and retrieval are facilitated, and the matching efficiency of the infrared image and the voltage transformer is improved; the automatic diagnosis that combines the temperature information in the full field of view to voltage transformer trouble that generates heat has realized the temperature anomaly of the voltage transformer in the real-time detection infrared image, and whole fault detection process is simple, the implementation of being convenient for, effectively promotes voltage transformer fault diagnosis efficiency, has solved among the correlation technique because the problem of the artifical false retrieval that the picture memory space is big and the nonstandard causes, is favorable to promoting the detection accuracy of voltage transformer temperature anomaly.
In addition, the embodiment of the invention also provides a corresponding implementation device and a computer readable storage medium for the temperature abnormal point detection method of the voltage transformer, so that the method has higher practicability, and the device and the computer readable storage medium have corresponding advantages.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the related art, the drawings required to be used in the description of the embodiments or the related art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for detecting a temperature anomaly point of a voltage transformer according to an embodiment of the present invention;
fig. 2 is a structural diagram of a specific embodiment of a temperature anomaly point detection apparatus of a voltage transformer according to an embodiment of the present invention;
fig. 3 is a structural diagram of another specific embodiment of a temperature abnormal point detecting device of a voltage transformer according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may include other steps or elements not expressly listed.
Having described the technical solutions of the embodiments of the present invention, various non-limiting embodiments of the present application are described in detail below.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for detecting a temperature abnormal point of a voltage transformer according to an embodiment of the present invention, where the embodiment of the present invention may include the following:
s101: and acquiring an infrared image containing the voltage transformer to be detected, and generating identification information of the infrared image.
The technical scheme provided by the application can be directly integrated in the equipment for acquiring the infrared image, so that after the infrared image acquisition equipment acquires the infrared image with the definition meeting the requirement, the infrared image acquisition equipment can mark the voltage transformer to be detected in the image by using a detection frame by using an image recognition algorithm, can display the image for a user, and can determine the area of the voltage transformer to be detected in the image according to the area determination instruction input by the user. The technical scheme provided by the application can be integrated on a handheld terminal or any intelligent terminal equipment, the infrared image acquisition equipment sends the acquired infrared image containing the voltage transformer to be detected to the handheld terminal or the intelligent terminal, and the terminal marks the target area where the voltage transformer to be detected is located in the image after receiving the original image. In order to facilitate storage and tracing of subsequent infrared images and solve the problem of false detection caused by non-standard picture storage, index information is added to the images after the infrared images are received, namely information of the infrared images can be uniquely identified, such as identification information, and the identification information can be the serial number of a voltage transformer to be detected.
S102: and calculating the average value of the temperature values of all the pixel points in the target area, and determining the target pixel points higher than the average value in the target area.
In the embodiment of the present invention, the target area is a position area of the voltage transformer marked in S101 in the infrared image, the pixel points in the target area are regarded as the pixel points of the voltage transformer, and the temperature value of each pixel point in the infrared image can be obtained based on the infrared imaging principle of the infrared image acquisition device. The average value of the temperature values of all pixel points in the target area is determined in sequence and then is used as the average temperature value of the target area, and it can be understood that the abnormal temperature of the voltage transformer generally refers to the phenomenon of overhigh temperature, so that the pixel points of which the temperature values are lower than the average temperature value of the voltage transformer are not considered, the abnormal temperature points of the voltage transformer to be detected are determined and searched from the pixel points higher than the average value.
S103: and grouping the target pixel points according to the distance relation of the preset pixel points, and determining a fault area group according to the preset fault detection condition.
Based on the working principle and the equipment shape characteristics of the voltage transformer, target pixel points can be classified according to the pixel point distance relationship, the pixel point distances among the target pixel points which are divided into the same group meet a fixed relationship, and for example, the Euclidean distance between a point in one group and at least one other point in the group is one pixel. The grouping process of the target pixel point may be, for example:
selecting a same group of target pixel points with Euclidean distance of a preset number of pixels from all target pixel points for the current target pixel point, wherein the number of the same group of target pixel points can be 1 or more; classifying the current target pixel point and the target pixel points in the same group into a first fault detection area group; sequentially calculating Euclidean distances between other non-grouped target pixel points and the same group of target pixel points, and dividing the target pixel points with the Euclidean distances equal to a preset number of pixels into a first fault detection area group until no target pixel points with the Euclidean distances equal to the preset number of pixels from each target pixel point in the first fault detection area group exist; and circularly executing the steps in the process until all the target pixel points are grouped, and finally obtaining a plurality of fault detection area groups. For example, the euclidean distance between the target pixels is calculated, the target pixels with the euclidean distance equal to one pixel are recorded as a group, and then other ungrouped target pixels and pixels with the euclidean distance of one pixel from each target pixel in the group are sequentially added into the group until no such point exists, so that a plurality of fault detection area groups can be generated. Determining the fault detection condition of the fault area group from the fault detection area groups, wherein the fault detection condition is that the number of pixel points in the group exceeds a preset threshold value, and then considering the pixel points in the group as temperature abnormal points; or if the number of the pixels in the group is lower than a preset threshold value, the pixels in the group are considered as normal temperature points; or the number of the pixels in the group exceeds a first threshold but is smaller than a second threshold, the pixels in the group are considered to be suspected temperature abnormal points, if the number of the pixels in the group exceeds the second threshold, the pixels in the group are considered to be temperature abnormal points, and if the number of the pixels in the group does not exceed the first threshold, the pixels in the group are considered to be temperature normal points.
S104: and automatically marking temperature abnormal points in the target area according to all pixel points contained in the fault area group.
It is understood that the fault area group determined in S103 may be multiple groups or one group, which does not affect the implementation of the present application. Each pixel point included in the fault area group is a temperature abnormal point, and the temperature abnormal points can be labeled in the infrared image by using any form, such as setting a rectangular labeling frame, setting a circular labeling frame, and the like, which is not limited in this application.
In the technical scheme provided by the embodiment of the invention, the corresponding relation between the infrared image and the voltage transformer thereon is established while the area of the voltage transformer marked with the infrared map of the front-end voltage transformer is obtained, so that the subsequent storage and retrieval are facilitated, and the matching efficiency of the infrared image and the voltage transformer is improved; the automatic diagnosis that combines the temperature information in the full field of view to voltage transformer trouble that generates heat has realized the temperature anomaly of the voltage transformer in the real-time detection infrared image, and whole fault detection process is simple, the implementation of being convenient for, effectively promotes voltage transformer fault diagnosis efficiency, has solved among the correlation technique because the problem of the artifical false retrieval that the picture memory space is big and the nonstandard causes, is favorable to promoting the detection accuracy of voltage transformer temperature anomaly.
In the foregoing embodiment, how to perform the step is not limited, and a method for marking the temperature anomaly point in this embodiment may include the following steps:
determining a central target pixel point positioned at a central position from all target pixel points contained in the fault area group; selecting a first target pixel point with the farthest linear distance from a central target pixel point from all target pixel points contained in the fault area group; and automatically generating a circular area by taking the central target pixel point as a circle center and taking the linear distance between the central target pixel point and the first target pixel point as a radius, wherein each pixel point in the circular area is taken as a temperature abnormal point of the voltage transformer to be measured.
Specifically, the coordinate values of the pixel points in the fault area group in the infrared image can be determined, then the pixel point located at the central position is determined according to the coordinate values, the pixel point is used as the center of a circle, for a plurality of groups of fault area groups, the distance between the pixel points is different, in order to cover the range of the temperature abnormal point, the distance between the pixel points which are farthest away from the pixel point at the central position can be used as the radius to generate a circular area, and the pixel points located in the circular area are all the temperature abnormal points of the entity equipment.
Therefore, the temperature abnormal points are marked through the circular area, the operation is simple and convenient, the detected temperature abnormal points can be contained, the temperature normal points or suspected temperature abnormal points contained in the marked area are as few as possible, and the marking accuracy of the temperature abnormal points is improved.
As another optional implementation manner, considering that the region of the voltage transformer to be tested, which is labeled in S101, contains useless background information, S102 directly uses temperature values of all pixel points in the region as a standard for screening abnormal temperature points, and there are more selected pixel points, so as to increase the subsequent data processing time and complexity, based on which a specific implementation manner of S102 in the present application may be:
generating an initial temperature matrix according to temperature values of all pixel points in a target area;
calculating the average value of all elements in the initial temperature matrix to be used as the initial temperature average value;
elements lower than the average value of the initial temperature are removed from the initial temperature matrix to generate a temperature matrix;
calculating the average value of the temperature values of all elements of the temperature matrix to be used as the temperature average value;
and selecting elements which are not less than the average temperature value from the temperature matrix, and taking pixel points corresponding to the elements as target pixel points in the target area.
In addition, how to label the voltage transformer to be detected in the infrared image is not limited, and in order to improve the target labeling accuracy and efficiency of the infrared image, the method for labeling the voltage transformer to be detected in this embodiment may include the following steps:
pre-training a target recognition model; the target identification model is obtained by training a convolutional neural network structure by utilizing a sample data set, the sample data set comprises a plurality of sample images, and each sample image is an infrared image marked with a voltage transformer area;
and inputting the original infrared image into the target identification model to obtain the infrared image marking the target area where the voltage transformer to be detected is located.
In the implementation of the invention, the image is identified by using a deep learning algorithm, and then the detection frame is added after the target is identified by using an image labeling technology, so that the voltage transformer to be detected can be efficiently and accurately labeled on the infrared image.
In another implementation, in order to better prevent the voltage transformer from failing, the method focuses on the location where the voltage transformer is about to fail, improves the failure recovery efficiency, and reduces the failure occurrence rate of the voltage transformer, based on the above embodiment, the method further includes:
the preset fault detection condition is that if the total number of target pixel points contained in the current fault detection area group is greater than a preset group number threshold value, the current fault detection area group is a fault area group; if the total number of target pixel points contained in the current fault detection area group is not greater than the group number threshold value, the current fault detection area group is a suspected fault area group; according to the method, suspected temperature abnormal points are automatically marked in a target area according to all pixel points contained in a suspected fault area group, and the marking modes of the suspected temperature abnormal points and the temperature abnormal points are different, so that related workers can pay attention to the positions of the suspected temperature abnormal points, and can timely position and repair the suspected temperature abnormal points once faults occur.
In addition, it should be noted that the system may further be provided with an infrared spectrum database, the infrared spectrum database stores the infrared images of the voltage transformers, in order to reduce the amount of useless data stored in the system database, the database only stores the infrared image with the fault, and the above embodiment is an operation performed on the infrared image with the temperature abnormal point. In a practical application process, there are a large number of infrared images without temperature anomaly points, so in a specific embodiment, the generation of the identification information of the infrared image in S101 is not executed after the infrared image is received, and the generation of the identification information of the infrared image is only executed after the temperature anomaly points are marked in the infrared image in S104. In addition, in order to improve the richness of the stored information in the database and facilitate the subsequent operations of daily maintenance, overhaul and the like of the voltage transformer, after S104, the coordinate information of the target area, the position information of each temperature abnormal point and the equipment parameter information of the voltage transformer to be measured can be output and stored as the attribute information of the infrared image.
It should be noted that, in the present application, there is no strict sequential execution order among the steps, and as long as the logical order is met, the steps may be executed simultaneously or according to a certain preset order, and fig. 1 is only an exemplary manner, and does not represent that only the execution order is the order.
The embodiment of the invention also provides a corresponding device for the method for detecting the temperature abnormal point of the voltage transformer, so that the method has higher practicability. Wherein the means can be described separately from the functional module point of view and the hardware point of view. The following describes a temperature abnormal point detection device of a voltage transformer according to an embodiment of the present invention, and the temperature abnormal point detection device of the voltage transformer described below and the temperature abnormal point detection method of the voltage transformer described above may be referred to in correspondence with each other.
Based on the angle of the functional module, referring to fig. 2, fig. 2 is a structural diagram of a temperature abnormal point detection apparatus of a voltage transformer according to an embodiment of the present invention, in a specific implementation manner, the apparatus may include:
the region labeling module 201 is configured to acquire an infrared image including a voltage transformer to be detected, mark a target region where the voltage transformer to be detected is located in the infrared image, and set number information of the voltage transformer to be detected for the infrared image.
The suspected pixel point determining module 202 is configured to calculate an average value of temperature values of all pixel points in the target area, and determine a target pixel point higher than the average value in the target area.
And the fault area determining module 203 is configured to group the target pixel points according to a preset pixel point pitch relationship, and determine a fault area group according to a preset fault detection condition.
And a temperature anomaly point determining module 204, configured to label a temperature anomaly point in the target region according to each pixel point included in the fault region group.
Optionally, in some embodiments of this embodiment, the apparatus may further include an information output module, where the information output module is configured to output the coordinate information of the target area, the position information of each temperature anomaly point, and the device parameter information of the voltage transformer to be measured, so as to store the coordinate information, the position information, and the device parameter information as attribute information of the infrared image.
In other embodiments of this embodiment, the temperature anomaly point determining module 204 may include:
the central point determining submodule is used for determining a central target pixel point positioned at a central position from all target pixel points contained in the fault area group;
the radius determining submodule is used for selecting a first target pixel point which is farthest from the straight line of the central target pixel point from all target pixel points contained in the fault area group;
and the area generation submodule is used for automatically generating a circular area by taking the central target pixel point as a circle center and taking the linear distance between the central target pixel point and the first target pixel point as a radius, and each pixel point in the circular area is used as a temperature abnormal point of the voltage transformer to be detected.
Optionally, in some other embodiments of the present application, the apparatus may further include an image annotation module, for example, and the image annotation module may include:
the model training submodule is used for training a target recognition model in advance; the target identification model is obtained by training a convolutional neural network structure by utilizing a sample data set, the sample data set comprises a plurality of sample images, and each sample image is an infrared image marked with a voltage transformer area;
and the marking submodule is used for inputting the original infrared image into the target identification model so as to obtain the infrared image for marking the target area where the voltage transformer to be detected is located.
In addition, as an optional implementation manner, the suspected pixel point determining module 202 may be specifically configured to generate an initial temperature matrix according to temperature values of all pixel points in the target area; calculating the average value of all elements in the initial temperature matrix to be used as the initial temperature average value; elements lower than the average value of the initial temperature are removed from the initial temperature matrix to generate a temperature matrix; calculating the average value of the temperature values of all elements of the temperature matrix to be used as the temperature average value; and selecting elements which are not less than the average temperature value from the temperature matrix, and taking pixel points corresponding to the elements as target pixel points in the target area.
The functions of the functional modules of the temperature anomaly point detection device of the voltage transformer according to the embodiment of the present invention can be specifically implemented according to the method in the embodiment of the method, and the specific implementation process may refer to the description related to the embodiment of the method, which is not described herein again.
Therefore, the embodiment of the invention can detect the temperature abnormal point of the voltage transformer in real time, solves the problem of false detection caused by high timeliness and large and non-standard picture storage capacity in the related technology, and improves the detection accuracy of the temperature abnormal point of the voltage transformer.
The temperature abnormal point detection device of the voltage transformer mentioned above is described from the perspective of the functional module, and further, the present application also provides a temperature abnormal point detection device of a voltage transformer, which is described from the perspective of hardware. Fig. 3 is a structural diagram of another temperature anomaly point detection device of a voltage transformer according to an embodiment of the present application. As shown in fig. 3, the apparatus comprises a memory 30 for storing a computer program;
the processor 31 is configured to implement the steps of the method for detecting the abnormal temperature point of the voltage transformer according to the above embodiment when executing the computer program.
The processor 31 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 31 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 31 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 31 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 31 may further include an AI (Artificial Intelligence) processor for processing a calculation operation related to machine learning.
Memory 30 may include one or more computer-readable storage media, which may be non-transitory. Memory 30 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 30 is at least used for storing the following computer program 301, wherein after being loaded and executed by the processor 31, the computer program can implement the relevant steps of the testing method disclosed in any of the foregoing embodiments. In addition, the resources stored by the memory 30 may also include an operating system 302, data 303, and the like, and the storage may be transient storage or permanent storage. Operating system 302 may include Windows, Unix, Linux, etc. Data 303 may include, but is not limited to, data corresponding to test results, and the like.
In some embodiments, the testing device may further include a display 32, an input/output interface 33, a communication interface 34, a power source 35, a communication bus 36, and a sensor 37.
Those skilled in the art will appreciate that the configuration shown in FIG. 3 is not intended to be limiting of testing devices and may include more or fewer components than those shown.
The functions of the functional modules of the device for detecting the temperature abnormal point of the voltage transformer according to the embodiment of the present invention can be specifically implemented according to the method in the embodiment of the method, and the specific implementation process may refer to the description related to the embodiment of the method, which is not described herein again.
Therefore, the embodiment of the invention can detect the temperature abnormal point of the voltage transformer in real time, solves the problem of false detection caused by high timeliness and large and non-standard picture storage capacity in the related technology, and improves the detection accuracy of the temperature abnormal point of the voltage transformer.
It is to be understood that, if the temperature abnormal point detecting method of the voltage transformer in the above-described embodiment is implemented in the form of a software functional unit and sold or used as a separate product, it may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application may be substantially or partially implemented in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods of the embodiments of the present application, or all or part of the technical solutions. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrically erasable programmable ROM, a register, a hard disk, a removable magnetic disk, a CD-ROM, a magnetic disk, or an optical disk.
Based on this, an embodiment of the present invention further provides a computer-readable storage medium, in which a temperature abnormal point detection program of a voltage transformer is stored, and the steps of the temperature abnormal point detection method of the voltage transformer according to any one of the above embodiments are executed by a processor.
The functions of the functional modules of the computer-readable storage medium according to the embodiment of the present invention may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.
Therefore, the embodiment of the invention can detect the temperature abnormal point of the voltage transformer in real time, solves the problem of false detection caused by high timeliness and large and non-standard picture storage capacity in the related technology, and improves the detection accuracy of the temperature abnormal point of the voltage transformer.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The method, the device and the computer readable storage medium for detecting the temperature abnormal point of the voltage transformer provided by the present application are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present application.
Claims (10)
1. A method for detecting a temperature abnormal point of a voltage transformer is characterized by comprising the following steps:
acquiring an infrared image containing a voltage transformer to be detected, marking a target area where the voltage transformer to be detected is located in the infrared image, and generating identification information of the infrared image, wherein the identification information is serial number information of the voltage transformer to be detected;
calculating the average value of the temperature values of all pixel points in the target area, and determining target pixel points which are higher than the average value in the target area;
grouping target pixel points according to a preset pixel point distance relation, and determining a fault area group according to a preset fault detection condition;
and automatically marking temperature abnormal points in the target area according to all pixel points contained in the fault area group.
2. The method for detecting the temperature abnormal point of the voltage transformer according to claim 1, wherein the calculating an average value of the temperature values of all the pixels in the target area, and the determining the target pixels in the target area higher than the average value comprises:
generating an initial temperature matrix according to the temperature values of all pixel points in the target area;
calculating the average value of all elements in the initial temperature matrix to be used as the initial temperature average value;
elements lower than the initial temperature average value are removed from the initial temperature matrix to generate a temperature matrix;
calculating the average value of the temperature values of all elements of the temperature matrix to be used as the temperature average value;
and selecting elements which are not less than the average temperature value from the temperature matrix, and taking pixel points corresponding to the elements as target pixel points in the target area.
3. The method for detecting the temperature abnormal point of the voltage transformer according to claim 2, wherein the grouping of the target pixel points according to the preset pixel point pitch relationship comprises:
determining the same group of target pixel points with the Euclidean distance to the current target pixel point as the preset number of pixels from each non-grouped target pixel point;
classifying the current target pixel points and the target pixel points in the same group into a first fault detection area group;
sequentially calculating Euclidean distances between other ungrouped target pixel points and the same group of target pixel points, and dividing the target pixel points of which the Euclidean distances are equal to the preset number of pixels into the first fault detection area group; until there is no target pixel point whose Euclidean distance from each target pixel point in the first fault detection area group is equal to the preset number of pixels;
if the non-grouped target pixel points exist, any one pixel point in the non-grouped target pixel points is used as the current target pixel point, and the steps are executed in a circulating mode until the non-grouped target pixel points do not exist, so that a plurality of fault detection area groups are generated.
4. The method for detecting the temperature abnormal point of the voltage transformer according to claim 3, wherein the determining of the fault area group according to the preset fault detection condition is as follows:
the preset fault detection condition is that if the total number of target pixel points contained in the current fault detection area group is greater than a preset group number threshold value, the current fault detection area group is a fault area group; if the total number of target pixel points contained in the current fault detection area group is not greater than the group number threshold, the current fault detection area group is a suspected fault area group;
correspondingly, after automatically marking temperature abnormal points in the target area according to each pixel point included in the fault area group, the method further includes:
and automatically marking suspected temperature abnormal points in the target area according to all pixel points contained in the suspected fault area group, wherein the suspected temperature abnormal points and the temperature abnormal points are marked in different modes.
5. The method for detecting the temperature abnormal point of the voltage transformer according to any one of claims 1 to 4, wherein the acquiring the infrared image containing the voltage transformer to be detected comprises:
pre-training a target recognition model; the target identification model is obtained by training a convolutional neural network structure by utilizing a sample data set, the sample data set comprises a plurality of sample images, and each sample image is an infrared image marked with a voltage transformer area;
and inputting the original infrared image into the target identification model to obtain the infrared image which is marked on the target area where the voltage transformer to be detected is located.
6. The method for detecting the temperature abnormal point of the voltage transformer according to any one of claims 1 to 4, wherein the step of automatically marking the temperature abnormal point in the target area according to each pixel point included in the fault area group comprises:
determining a central target pixel point positioned at a central position from all target pixel points contained in the fault area group;
selecting a first target pixel point with the farthest linear distance with the central target pixel point from all target pixel points contained in the fault area group;
and automatically generating a circular area by taking the central target pixel point as a circle center and the linear distance between the central target pixel point and the first target pixel point as a radius, wherein each pixel point in the circular area is used as a temperature abnormal point of the voltage transformer to be detected.
7. The method for detecting the temperature anomaly point of the voltage transformer according to claim 4, wherein after the temperature anomaly point is automatically marked in the target zone according to each pixel point included in the fault zone group, the method further comprises:
and outputting the coordinate information of the target area, the position information of each temperature abnormal point and the equipment parameter information of the voltage transformer to be detected to be used as the attribute information of the infrared image for storage.
8. A temperature anomaly detection device for a voltage transformer, comprising:
the device comprises an area marking module and a processing module, wherein the area marking module is used for acquiring an infrared image containing a voltage transformer to be detected, marking a target area where the voltage transformer to be detected is located in the infrared image, and meanwhile setting the serial number information of the voltage transformer to be detected for the infrared image;
the suspected pixel point determining module is used for calculating the average value of the temperature values of all the pixel points in the target area and determining the target pixel points which are higher than the average value in the target area;
the fault area determining module is used for grouping the target pixel points according to the preset pixel point distance relationship and determining a fault area group according to the preset fault detection condition;
and the temperature abnormal point determining module is used for marking the temperature abnormal points in the target area according to the pixel points contained in the fault area group.
9. A temperature anomaly point detection device of a voltage transformer, integrated on an intelligent terminal, comprising a processor for implementing the steps of the temperature anomaly point detection method of the voltage transformer according to any one of claims 1 to 7 when executing a computer program stored in a memory.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a temperature abnormal point detecting program of a voltage transformer, which when executed by a processor, implements the steps of the temperature abnormal point detecting method of the voltage transformer according to any one of claims 1 to 7.
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