CN112101365A - Power equipment key feature extraction method and system based on infrared thermal image processing - Google Patents
Power equipment key feature extraction method and system based on infrared thermal image processing Download PDFInfo
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Abstract
The invention discloses a method and a system for extracting key features of electric power equipment based on infrared thermography processing. According to the method, the infrared thermal reading is mapped into the infrared thermal image gray-scale map, the infrared thermal image gray-scale map is preprocessed, common noise puzzlement of the infrared thermal image is solved, the picture quality requirement is lowered, the binary operation is adopted to extract the hot spot region, the calculated amount is effectively reduced, the outline of the hot spot region is highlighted, the hot spot region is extracted finally, and the characteristic parameters with high reliability are effectively obtained.
Description
Technical Field
The invention relates to a method and a system for extracting key features of electric power equipment based on infrared thermal imaging processing, and belongs to the field of electric power equipment temperature measurement.
Background
Currently, in the detection and maintenance of power equipment, manual inspection or sensor detection is mainly relied on. The labor intensity of manual inspection is high, the efficiency is low, and errors are easy to occur. The sensor detection needs to research and develop sensors with different functions and different use conditions aiming at different devices, and is not universal and high in cost. Therefore, in the temperature monitoring of the electrical equipment, the temperature detection method based on infrared thermography processing is more and more widely applied.
And extracting key features of the power equipment, wherein the key features of the power equipment are obtained by processing the original thermal readings acquired by the thermal infrared imager. The key feature extraction mainly relates to the steps of infrared thermal reading acquisition, infrared thermal image preprocessing, hot spot region segmentation, key feature extraction and the like.
At present, the following methods are mainly used for measuring the temperature of the power equipment: firstly, carrying out point-by-point temperature measurement on a heating part by using an infrared thermometer (application of an afterglow and infrared temperature measurement diagnosis technology in power transformation operation and maintenance [ J ]. a communication world, 2017, (11): 204-; secondly, an optical fiber temperature measurement technology (Zhuzuling, application research of a distributed optical fiber temperature measurement technology in the power industry [ D ] China eastern science and technology university, 2017.) and a wireless temperature measurement technology (Chendelmin, Wanweidong, Lipeng, wireless power equipment temperature measurement system standardization design research [ J ] sensor world, 2014, (04): 37-42.). These methods have high requirements on picture quality and poor computational reliability.
Disclosure of Invention
The invention provides a method and a system for extracting key features of electric power equipment based on infrared thermography processing, and solves the problems of high requirements on picture quality and poor calculation reliability in the prior art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method for extracting key features of electric power equipment based on infrared thermography processing comprises,
acquiring an infrared thermal image gray scale image of the original image according to the read infrared thermal reading;
preprocessing an infrared thermal image gray scale image of an original image;
extracting a hot spot area to be detected from the preprocessed original image infrared thermal image gray scale image through binarization operation according to the temperature difference between the operating power equipment and other objects;
and extracting the characteristics of the hot spot area to obtain the characteristic parameters of the power equipment.
According to the temperature difference between the running power equipment and other objects, extracting a hot spot region to be detected from the preprocessed original image infrared thermal image gray level image through binarization operation,
carrying out binarization on the preprocessed original image infrared thermal image gray scale image to obtain a binary image;
opening the binary image, and extracting the outline of the white area;
responding to the condition that the number of the white areas in the outline is 1, and setting the area in the external border of the white area as a hot spot area;
and in response to the fact that the number of the white areas in the outline is larger than 1, setting the white areas with the areas smaller than the area threshold value as black, and setting the areas in the border which is circumscribed to the white areas as hot spot areas.
And extracting the outline of the white area by adopting an outline extraction algorithm only for extracting the outline of the outer layer.
Extracting the characteristics of the hot spot area to obtain the temperature information and the temperature exceeding area of the power equipment,
acquiring temperature information of the power equipment according to the read infrared reading of the hot spot area;
and acquiring an infrared thermal image gray scale map of the hot spot area according to the read infrared reading of the hot spot area, extracting coordinates of all pixel points exceeding the temperature limit of the power equipment, and marking colors to acquire the area with the temperature exceeding the standard.
And calculating the number of pixels contained in the temperature exceeding area, and responding to the situation that the number of pixels exceeds a preset value, wherein the electric equipment corresponding to the temperature exceeding area is abnormal equipment.
The process of obtaining the infrared thermal image gray-scale image comprises the following steps,
counting the maximum temperature and the minimum temperature based on the infrared readings;
mapping the highest temperature to be a pixel value of 255, mapping the lowest temperature to be a pixel value of 0, and mapping the rest temperatures to be integers between the pixel values of 0-255 in proportion;
and acquiring an infrared thermal image gray scale image according to the mapped pixel values.
Preprocessing the infrared thermal image gray level image of the original image, specifically,
histogram equalization is carried out on the infrared thermal image gray level graph of the original image, and then median filtering is carried out on the equalized result.
A key feature extraction system of electric equipment based on infrared thermography processing comprises,
original gray-scale map module: acquiring an infrared thermal image gray scale image of the original image according to the read infrared thermal reading;
a preprocessing module: preprocessing the infrared thermal image gray level image of the original image
A hot spot area module: extracting a hot spot area to be detected from the preprocessed original image infrared thermal image gray scale image through binarization operation according to the temperature difference between the operating power equipment and other objects;
a parameter extraction module: and extracting the characteristics of the hot spot area to obtain the characteristic parameters of the power equipment.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method for electrical power equipment key feature extraction based on thermographic infrared processing.
A computing device comprising one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing a method for electrical device critical feature extraction based on thermographic infrared processing.
The invention achieves the following beneficial effects: according to the method, the infrared thermal reading is mapped into the infrared thermal image gray-scale map, the infrared thermal image gray-scale map is preprocessed, common noise puzzlement of the infrared thermal image is solved, the picture quality requirement is lowered, the binary operation is adopted to extract the hot spot region, the calculated amount is effectively reduced, the outline of the hot spot region is highlighted, the hot spot region is extracted finally, and the characteristic parameters with high reliability are effectively obtained.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is an infrared thermographic gray scale image of an original image;
FIG. 3(a) is the result of histogram equalization;
FIG. 3(b) is the result after median filtering;
fig. 4(a) is a binary image;
FIG. 4(b) is the result after the binary image opening operation;
FIG. 4(c) is a diagram of an extracted hot spot region;
fig. 5 shows the extracted high-temperature region feature results.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a method for extracting key features of power equipment based on infrared thermography processing includes the following steps:
step 1, acquiring an infrared thermal image gray scale image of an original image according to the read infrared thermal reading.
Each data in the infrared thermal readings corresponds to a pixel point on the image, the gray value of each pixel is set as an integer after the mapping of the corresponding temperature value, the infrared readings can be converted into an infrared thermal image gray graph of the original image, and the specific process is as follows:
11) counting the maximum temperature and the minimum temperature based on the infrared readings;
12) mapping the highest temperature to be a pixel value of 255, mapping the lowest temperature to be a pixel value of 0, and mapping the rest temperatures to be integers between the pixel values of 0-255 in proportion;
13) and obtaining the infrared thermal image gray scale image shown in the figure 2 according to the mapped pixel values.
Step 2, preprocessing an infrared thermal image gray scale image of the original image; namely, histogram equalization is performed on the infrared thermography gray level image of the original image, see fig. 3(a), and then median filtering is performed on the equalized result, wherein the window size is 3 × 3, see fig. 3 (b).
And 3, extracting a hot spot area to be detected from the preprocessed original image infrared thermal image gray scale image through binarization operation according to the temperature difference between the running power equipment and other objects.
The specific process is as follows:
31) binarizing the preprocessed original image infrared thermal image gray scale image to obtain a binary image which is only black and white and is shown in the figure 4 (a); the threshold value of binarization is 215, and pixels with the gray value larger than or equal to 215 are set to be white, and the rest are set to be black.
32) And performing opening operation on the binary image to extract the outline of the white area.
The template for the open operation is rectangular, the size of the template is 3 × 3, and the result of the open operation is shown in fig. 4 (b). The contour extraction algorithm adopts a contour extraction algorithm only extracting an outer contour, and the Suzuki85 algorithm is adopted here, and the parameters of the method are set to only acquire the outer contour (not acquiring a hole in the contour) and store all contour points.
33) Responding to the condition that the number of the white areas in the outline is 1, and setting the area in the external border of the white area as a hot spot area; and in response to the fact that the number of the white areas in the outline is larger than 1, setting the white areas with the areas smaller than the area threshold value as black, and setting the areas in the border which is circumscribed to the white areas as hot spot areas.
If the number of white regions is more than one (more than one contour is extracted), the area of each white region is calculated, and all pixels in a region having an area less than 4% of the total number of pixels of the preprocessed image are set to black.
And 4, extracting the features of the hot spot region to obtain the feature parameters of the power equipment, wherein the feature parameters comprise the temperature information of the power equipment and the temperature exceeding region, and the temperature information comprises the maximum value, the average value and the variance of the temperature.
The specific process is as follows:
41) and acquiring temperature information of the power equipment, namely a maximum temperature value, an average value and a variance according to the read infrared reading of the hot spot area.
42) Acquiring an infrared thermal image gray scale map of the hot spot area according to the read infrared reading of the hot spot area, extracting coordinates (coordinates in the map) of all pixel points exceeding the temperature limit of the power equipment, and performing color marking, wherein the color marked area is an area with the exceeding temperature; the R, G, B values of the pixels exceeding the temperature limit of the power device can be set to 255, 0 and 0, respectively, i.e. the pixels are marked with red, as shown in fig. 5.
43) And calculating the number of pixels contained in the temperature exceeding area, responding to the situation that the number of pixels exceeds a preset value, taking the power equipment corresponding to the temperature exceeding area as abnormal equipment, and storing the shape of the temperature exceeding area and the number of pixels contained in the abnormal equipment.
Mapping the infrared thermal reading to an infrared thermal image gray scale map, preprocessing the infrared thermal image gray scale map, extracting a hot spot region by adopting binarization operation, and finally extracting the hot spot region to obtain characteristic parameters. Compared with the traditional method, the method improves the contrast of the infrared thermal image and inhibits noise through histogram equalization and median filtering, solves common noise troubles of the infrared thermal image, and reduces the picture quality requirement; the infrared thermal image data volume is reduced through binarization operation, the calculated amount is effectively reduced, and the outline of a hot spot area is highlighted; and performing secondary analysis based on the hot spot region obtained by the operation, so that the influence of noise points can be effectively eliminated, and the reliability of feature extraction is improved.
The method converts the temperature processing into the image processing, and the temperature characteristic extraction is more convenient; the method adopts a threshold segmentation method, is simple and efficient, extracts the contour of the white region after threshold segmentation, calculates the area to eliminate the too small region which does not belong to the power equipment, and extracts the accurate and stable hot spot region; the features extracted by the method are easy to understand and process, and the method for judging the equipment state has certain robustness and can effectively reduce false detection.
A key feature extraction system of electric equipment based on infrared thermography processing comprises,
original gray-scale map module: acquiring an infrared thermal image gray scale image of the original image according to the read infrared thermal reading;
a preprocessing module: preprocessing the infrared thermal image gray level image of the original image
A hot spot area module: extracting a hot spot area to be detected from the preprocessed original image infrared thermal image gray scale image through binarization operation according to the temperature difference between the operating power equipment and other objects;
a parameter extraction module: and extracting the characteristics of the hot spot area to obtain the characteristic parameters of the power equipment.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method for electrical power equipment key feature extraction based on thermographic infrared processing.
A computing device comprising one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing a method for electrical device critical feature extraction based on thermographic infrared processing.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (10)
1. A method for extracting key features of electric equipment based on infrared thermography processing is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
acquiring an infrared thermal image gray scale image of the original image according to the read infrared thermal reading;
preprocessing an infrared thermal image gray scale image of an original image;
extracting a hot spot area to be detected from the preprocessed original image infrared thermal image gray scale image through binarization operation according to the temperature difference between the operating power equipment and other objects;
and extracting the characteristics of the hot spot area to obtain the characteristic parameters of the power equipment.
2. The method for extracting the key features of the power equipment based on the infrared thermography processing as claimed in claim 1, wherein: according to the temperature difference between the running power equipment and other objects, extracting a hot spot region to be detected from the preprocessed original image infrared thermal image gray level image through binarization operation,
carrying out binarization on the preprocessed original image infrared thermal image gray scale image to obtain a binary image;
opening the binary image, and extracting the outline of the white area;
responding to the condition that the number of the white areas in the outline is 1, and setting the area in the external border of the white area as a hot spot area;
and in response to the fact that the number of the white areas in the outline is larger than 1, setting the white areas with the areas smaller than the area threshold value as black, and setting the areas in the border which is circumscribed to the white areas as hot spot areas.
3. The method for extracting the key features of the power equipment based on the infrared thermography processing as claimed in claim 2, wherein: and extracting the outline of the white area by adopting an outline extraction algorithm only for extracting the outline of the outer layer.
4. The method for extracting the key features of the power equipment based on the infrared thermography processing as claimed in claim 1, wherein: extracting the characteristics of the hot spot area to obtain the temperature information and the temperature exceeding area of the power equipment,
acquiring temperature information of the power equipment according to the read infrared reading of the hot spot area;
and acquiring an infrared thermal image gray scale map of the hot spot area according to the read infrared reading of the hot spot area, extracting coordinates of all pixel points exceeding the temperature limit of the power equipment, and marking colors to acquire the area with the temperature exceeding the standard.
5. The method for extracting the key features of the power equipment based on the infrared thermography processing as claimed in claim 4, wherein: and calculating the number of pixels contained in the temperature exceeding area, and responding to the situation that the number of pixels exceeds a preset value, wherein the electric equipment corresponding to the temperature exceeding area is abnormal equipment.
6. The method for extracting key features of electric power equipment based on infrared thermography processing according to claim 1 or 4, wherein: the process of obtaining the infrared thermal image gray-scale image comprises the following steps,
counting the maximum temperature and the minimum temperature based on the infrared readings;
mapping the highest temperature to be a pixel value of 255, mapping the lowest temperature to be a pixel value of 0, and mapping the rest temperatures to be integers between the pixel values of 0-255 in proportion;
and acquiring an infrared thermal image gray scale image according to the mapped pixel values.
7. The method for extracting the key features of the power equipment based on the infrared thermography processing as claimed in claim 1, wherein: preprocessing the infrared thermal image gray level image of the original image, specifically,
histogram equalization is carried out on the infrared thermal image gray level graph of the original image, and then median filtering is carried out on the equalized result.
8. The utility model provides an electrical equipment key feature extraction system based on infrared thermal imagery is handled which characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
original gray-scale map module: acquiring an infrared thermal image gray scale image of the original image according to the read infrared thermal reading;
a preprocessing module: preprocessing the infrared thermal image gray level image of the original image
A hot spot area module: extracting a hot spot area to be detected from the preprocessed original image infrared thermal image gray scale image through binarization operation according to the temperature difference between the operating power equipment and other objects;
a parameter extraction module: and extracting the characteristics of the hot spot area to obtain the characteristic parameters of the power equipment.
9. A computer readable storage medium storing one or more programs, characterized in that: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 1-7.
10. A computing device, characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-7.
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