CN111767777A - Transformer substation disconnecting switch state analysis method based on image processing algorithm - Google Patents
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Abstract
The invention discloses a transformer substation disconnecting switch state analysis method based on an image processing algorithm, which comprises the following steps of: s1) acquiring a monitoring video of the substation disconnecting switch, extracting image data of a certain frame, and converting the image data into a processable data format; s2) preprocessing the image data; s3) carrying out binarization processing on the preprocessed image; s4) performing filtering processing on the binarized image; s5) carrying out Hough transform on the filtered image to obtain the line segment angle and the line segment length; s6) judging the opening and closing state of the isolating switch according to the angle and the line segment length. The invention has the advantages that: the method is used for lossless identification of the power grid disconnecting switch, has important significance for operation monitoring of the disconnecting switch, has the characteristic of high identification precision, and provides technical support for automation of a transformer substation.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a transformer substation isolation switch state analysis method based on an image processing algorithm.
Background
The transformer substation in the power system is large in scale and numerous in number, and as a power supply of the power system, the real-time operation state of various electrical equipment in the transformer substation is one of the key factors for determining the safe operation of the power system. Along with the rapid development of intelligent monitoring and intelligent inspection technologies, the intelligent equipment is adopted to gradually replace the original manual operation equipment, so that the labor consumption can be reduced, and meanwhile, the safety and the efficiency can be greatly improved.
At present, inspection robots put into operation in substations are mostly used for detecting infrared temperatures of electrical equipment and judging whether the electrical equipment has an overheating defect or not according to the infrared temperatures, but cannot automatically identify the operation states of the electrical equipment such as isolating switches, and the like, so that the application range of the inspection robots is greatly limited.
Therefore, the analysis of the state of the disconnecting switch of the transformer substation by using the image processing algorithm has important significance on the production and operation of the power grid, and meanwhile, the intelligent development of the power grid is greatly promoted.
Disclosure of Invention
The invention aims to provide a transformer substation disconnecting switch state analysis method based on an image processing algorithm, which overcomes the defects in the prior art, effectively judges the state of a disconnecting switch and improves the detection accuracy and practicability to the maximum extent.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a transformer substation disconnecting switch state analysis method based on an image processing algorithm comprises the following steps:
s1) image acquisition and data format conversion;
s2) image preprocessing;
s3) image binarization processing;
s4) filtering the binary image;
s5) carrying out Hough transformation on the filtered image;
s6) judging the opening and closing state of the isolating switch.
Further, the step S1) operates as follows:
s11) erecting image acquisition equipment on the site of the isolating switch to obtain real-time video data of the isolating switch movement;
s12) decomposing the video data to obtain a certain frame of image data, and converting the image data into a processable data format for subsequent detection.
Further, the step S2) operates as follows:
s21) performing edge cropping on the image;
s22) graying the clipped image with a graying formula of Fg(i, j) ═ 0.299 × R (i, j) +0.587 × G (i, j) +0.144 × B (i, j), where i represents the ith row and j represents the jth column of the image.
Further, the step S3) operates as follows:
s31) drawing a gray level histogram of the gray level image to respectively obtain gray level intervals of an isolating switch knife, an isolating switch background and an isolating switch porcelain bottle;
s32), because the gray value of the background of the isolating switch is greater than that of the knife switch of the isolating switch, and the gray value of the porcelain insulator of the isolating switch is less than that of the knife switch of the isolating switch, two thresholds are set up to carry out graying processing on a grayed image, and the formula is as follows:
wherein, T1Denotes the lower threshold, T2Represents an upper threshold value, FgRepresenting a grayed image and F representing the binarized image.
Further, the step S4) operates as follows:
s41) morphological filtering: and performing open operation on the binary image, wherein the formula is as follows:
wherein f is the input image, g is the structural element, theta and
respectively representing corrosion operation and expansion operation signs in morphological operation, and corroding structural element g1And an expansion structural element g2Respectively as follows:
s42) area filtering: and calling a function regionprops function in Matlab software to mark connected domains of the morphologically filtered image, and sequentially arranging according to the area of the connected domains, so that the connected domains with smaller areas are eliminated, and a filtering function is realized.
Further, the step S5) operates as follows:
s51) carrying out Hough transformation on the filtered image to obtain a Hough space of the image;
s52) two extreme points of the Hough space are obtained, and the information of two actual image Line segments is obtained, wherein the information comprises the inclination angles Theta1 and Theta2 of the Line segments, and the length values Line1 and Line2 from the defined origin to the Line segments during Hough transformation.
Further, the step S6) operates as follows:
s61) judging the Line segment information obtained in S5), when | Theta1-Theta2| < Threshold1 and | Line1-Line2| < Threshold2, indicating that the device state of the isolating switch is in a closed state, otherwise, indicating that the device state is in an open state, wherein Threshold1 represents an angle Threshold, and Threshold2 represents a Line segment length Threshold.
Compared with the prior art, the invention has the following advantages:
the transformer substation disconnecting switch state analysis system based on the image processing algorithm is used for judging the opening and closing state of a disconnecting switch of a power grid, provides a method combining morphological filtering and area filtering, can effectively extract a knife switch part target of the disconnecting switch, and has stronger robustness compared with other methods only using morphological filtering and median filtering and the like. Meanwhile, the method is easy to realize and apply, and has a great promotion effect on the improvement of the intelligent level of the power grid
Drawings
The invention is further described with reference to the following drawings and detailed description:
fig. 1 is a flow chart of a substation disconnecting switch state analysis system based on an image processing algorithm.
Fig. 2 is an application interface of a substation disconnecting switch state analysis system based on an image processing algorithm.
Fig. 3 is a process processing image of the substation disconnecting switch state analysis system based on an image processing algorithm.
Detailed Description
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The invention discloses a transformer substation disconnecting switch state analysis method based on an image processing algorithm, which utilizes image acquisition equipment to acquire a video of a disconnecting switch, relates to the design of the image processing algorithm, and can effectively process an image of the disconnecting switch to obtain the opening and closing state of the image of the disconnecting switch. The method comprises the following steps:
s1) image acquisition and data format conversion
Erecting image acquisition equipment on the site of the disconnecting switch equipment, and acquiring video images of the opening and closing motion state of the disconnecting switch equipment to obtain real-time video data of the motion of the disconnecting switch;
considering that an image processing algorithm is performed on a picture, decomposing video data to obtain image data of a certain frame, and converting the image data into a processable data format for subsequent detection (images in different states can be selected for subsequent state detection).
S2) image preprocessing
Edge cutting is carried out on a certain frame of image extracted from a video, then graying processing is carried out on the cut image, the three components of RGB are calculated by a weighted average method to obtain a gray value, and the graying processing formula is
Fg(i,j)＝0.299*R(i,j)+0.587*G(i,j)+0.144*B(i,j)，
Where i represents the ith row of the image and j represents the jth column of the image.
S3) image binarization processing
The grey value difference of the disconnecting switch knife, the disconnecting switch background and the disconnecting switch porcelain bottle is large, so that a grey level histogram of the grey level image is drawn, and grey value intervals of the disconnecting switch knife, the disconnecting switch background and the disconnecting switch porcelain bottle are obtained respectively;
according to the fact that the gray value of the background of the isolating switch is larger than that of the knife switch of the isolating switch, and the gray value of the porcelain insulator of the isolating switch is smaller than that of the knife switch of the isolating switch, two thresholds are set to conduct graying processing on a grayed image, and the formula is as follows:
wherein, T1Denotes the lower threshold, T2Represents an upper threshold value, FgRepresenting a grayed image and F representing the binarized image. Under different weather conditions, the gray value of the sky background changes, so that the change range of the threshold value is fully considered when the upper threshold value and the lower threshold value are set, and a proper threshold value is selected for image binarization processing.
S4) binarized image filtering
Firstly, morphological filtering is carried out on an image, and the filtering formula is as follows:
wherein f is the input image, g is the structural element, theta and
respectively, erosion operation and dilation operation signs in morphological operation, and erosion structure element g1And an expansion structural element g2Respectively as follows:
after the morphological filtering image is obtained, area filtering is carried out on the image, connected domain marking is carried out on the morphologically filtered image by calling a function regionprops function in Matlab software, and the connected domain marking is arranged in sequence according to the area size of the connected domain, so that the connected domain with a smaller area is eliminated, and the filtering function is realized.
S5) performing Hough transform on the filtered image
And carrying out Hough transformation on the filtered binary image to obtain a Hough space of the image, obtaining two extreme points of the Hough space, and obtaining the information of two actual image Line segments, wherein the information comprises the inclination angles Theta1 and Theta2 of the Line segments, and the length values Line1 and Line2 from the defined origin to the Line segments during the Hough transformation.
S6) judging the opening and closing state of the isolating switch
Judging the Line segment information obtained in S5), when | Theta1-Theta2| < Threshold1 and | Line1-Line2| < Threshold2, indicating that the equipment state of the isolating switch is in a closed state, otherwise, indicating that the equipment state of the isolating switch is in an open state, wherein Threshold1 represents an angle Threshold, and Threshold2 represents a Line segment length Threshold.
Therefore, the judgment of the state of the substation disconnecting switch is completed, and the image processing process can be realized in the interface shown in fig. 2.
The present invention is well implemented according to the above embodiments, and it should be noted that, based on the above structural design, a plurality of improvements and modifications can be made without departing from the concept of the present invention, and these improvements and modifications should also be considered as within the protection scope of the present invention.
Claims (4)
1. A transformer substation disconnecting switch state analysis method based on an image processing algorithm is characterized by comprising the following steps:
s1) acquiring a monitoring video of the substation disconnecting switch, extracting image data of a certain frame, and converting the image data into a processable data format for subsequent detection;
s2) image data preprocessing: performing edge cutting and graying processing on the frame image, and converting the frame image into a grayscale image;
s3) image binarization processing;
s4) image filtering processing:
s5) carrying out Hough transformation on the filtered image, and solving the line segment inclination angle corresponding to two maximum peak points in Hough space and the length value from the defined origin to the line segment during Hough transformation;
s6) judging the opening and closing state of the isolating switch: and judging the state of the isolating switch by using the line segment inclination angle and the length value obtained in the step S5).
2. The transformer substation disconnecting switch state analysis method based on the image processing algorithm according to claim 1, characterized in that:
and step S3), taking the difference between the disconnecting switch and the background and the grey value of the porcelain bottle into consideration, and performing dual-threshold segmentation on the preprocessed picture to obtain a binary image.
3. The transformer substation disconnecting switch state analysis method based on the image processing algorithm according to claim 1, characterized in that:
and step S4), the image filtering processing algorithm adopts two methods of morphological filtering and area filtering to process the binary image in sequence and extract the knife switch area of the isolating switch.
4. The transformer substation disconnecting switch state analysis method based on the image processing algorithm according to claim 1, characterized in that:
in step S6), the status of the disconnector is determined as follows:
(1) defining the image inclination angles corresponding to two maximum peak points in the Hough space as Theta1 and Theta2 respectively; the length values from the defined original point to the Line segment are respectively Line1 and Line2 when Hough transformation is carried out;
(2) when the absolute value of Theta1-Theta2 absolute value of Threshold1 and the absolute value of Line1-Line2 absolute value of Threshold2, the equipment state of the isolating switch is represented as an on state, otherwise, the equipment state of the isolating switch is represented as an off state, wherein Threshold1 represents an angle Threshold value, and Threshold2 represents a Line length Threshold value.
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