Pattern recognition method of substation switch based on infrared detection

Abstract

The invention discloses a method for identifying the mode of a switch of a substation based on infrared detection. The method comprises the following steps of: 1, inputting an image to be identified, acquiring a switch area of the image by image registration, and sequentially graying, binarizing and thinning the switch area; 2, linearly detecting the image of the thinned switch area by using a Hough transformation algorithm; and 3, determining a detection result, and identifying the state of the switch by using a switch state determination condition. An H matrix between two images is obtainedby matching of the features of scale invariant feature transform (SIFT), the switch area in the image is found, and then the state of the switch is identified. Experiments show that: by the method, the problem of identification of a power switch can be effectively solved; an important significance is provided for automatic monitoring of the power equipment of an intelligent substation; the burdens on an inspector of the substation can be reduced; and detection efficiency is greatly improved.

Description

technical field [0001] The invention relates to a method for identifying the state of a power switch, in particular to a method for identifying a pattern of a switch in a substation based on infrared detection. Background technique [0002] A corner point is a pixel point with a sufficiently high grayscale change value in all directions within its neighborhood [1]. It is a very important image point feature, which contains rich two-dimensional structure information in the image. The area near the knife gate device in the image has prominent corner features and is easy to extract, which is convenient for image matching. Therefore, this feature can be used for image matching. [0003] There are many methods for corner extraction, such as Harris corner extraction method [1], Moravec operator [2], nonlinear Susan corner extraction operator, etc. David G. Lowe [4] summarized the existing feature detection methods based on invariant technology in 2004, and formally proposed a sc...

AI Technical Summary

Problems solved by technology

In conventional substations, before and after the operation of the knife switch equipment, operators need to implement it on the spot and manually judge whether the equipment status is in place. This mode is labor-intensive and takes a long time to operate. It has been gradually eliminated.

With the development of intelligent substations, the operation of knife switch equipment has been improved to the direction of remote automatic operation, but operators still need to participate in each operation and the on-site personnel manually confirm whether the operation is completed accurately. Although this mode reduces the workload of operators Labor intensity shortens the operation time, but it relies heavily on the subjective judgment of the on-site personnel. Due to the constraints of the on-site personnel's knowledge and experience, it is prone to misjudgment, especially in case of bad weather, the site conditions are more dangerous, which will affect the operation of the equipment even more. the smooth progress

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