Method and device for detecting abnormal temperature point of arrester

Abstract

The invention discloses a method for detecting an abnormal temperature point of an arrester. The method comprises the following steps of acquiring an arrester infrared image marked with a detection area, and acquiring temperature values corresponding to all pixel points in the detection area of the arrester infrared image to form a temperature value set; traversing the temperature value set, determining pixel points corresponding to the temperature values which are higher than an average value in the temperature value set to be target pixel points, and obtaining a target pixel point set; dividing the target pixel points in the target pixel point set into a plurality of pixel groups according to an Euclidean distance among the different target pixel points; and marking an area covered by the pixel group whose number of pixel points exceeds a preset threshold as an abnormal temperature point. By using the method, automatic detection of the abnormal temperature point of the arrester is realized, detection efficiency and accuracy are increased, and an electric power accident can be avoided to some extent. A device and equipment for detecting the abnormal temperature point of the arrester, and a readable storage medium disclosed in the invention correspondingly have the same technical effects.

Description

technical field

[0001] The invention relates to the technical field of infrared image processing, and more specifically, to a method, device, equipment and readable storage medium for detecting abnormal temperature points of a lightning arrester. Background technique

[0002] With the wide application of infrared equipment in live detection of arresters, power supply companies have accumulated a large number of infrared images of operation and maintenance of arresters. For these infrared images of lightning arresters, it is usually necessary to manually classify and screen these infrared images to detect infrared images of lightning arresters with abnormal temperature points.

[0003] And because the number of lightning arresters is large, the corresponding infrared images are also large, so the task load of the detection operation is relatively large. Moreover, the efficiency of manual detection is relatively slow, and errors and omissions will inevitably occur. If the ab...

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