GIS sleeve temperature anomaly detection method, device and equipment and readable storage medium

Abstract

The invention discloses a GIS sleeve temperature anomaly detection method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining an infrared image marked with a GIS sleeve region, obtaining the temperatures corresponding to all pixel points in the GIS sleeve region, and forming a temperature set; constructing a GIS bushing area temperature space distribution model, removing invalid data, and smoothing single-point noise in an infrared image; constructing a GIS bushing area temperature frequency distribution model, setting double baselines, dividing an interference area and a normal area, and extracting main information; respectively marking the pixel points after noise removal, marking the pixel points of which the temperatures exceed a preset threshold value as suspected abnormal points, and marking the pixel points of which the temperatures do not exceed the preset threshold value as highest temperature points and lowest temperature points. According to the method, the device, the equipment and the readable storage medium, automatic detection of the suspected temperature abnormal point of the GIS sleeve region is realized, and the detection efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the technical field of infrared image processing, in particular to a method, device, equipment and readable storage medium for detecting abnormal temperature of a GIS bushing. Background technique [0002] With the wide application of infrared equipment in the live detection of GIS bushing area, the power supply company has accumulated a large number of operation and maintenance infrared images of GIS bushing area. For these infrared images of the GIS casing area, it is usually necessary to manually classify and screen these infrared images to detect the infrared images of the GIS casing area with abnormal temperature points. [0003] However, due to the large number of GIS casing areas, there are many corresponding infrared images, and the similarity of many devices is also high, so the task load of the detection operation is relatively large. Moreover, the efficiency of manual detection is relatively slow, and errors and omi...

AI Technical Summary

Problems solved by technology

[0003] However, due to the large number of GIS casing areas, there are many corresponding infrared images, and the similarity of many devices is also high, so the task load of detection operations is relatively large.

Moreover, the efficiency of manual detection is relatively slow, and errors and omissions will inevitably occur.

If the abnormal GIS bushing area is not detected in time, it is likely to cause an electrical accident

Therefore, the existing technology has the disadvantages of low efficiency and difficult guarantee of accuracy

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