Defect detection method, device and equipment for strain clamp and storage medium

Abstract

The embodiment of the invention discloses a defect detection method, device and equipment for a strain clamp, and a storage medium. The defect detection method comprises the steps: obtaining picturesof the strain clamp in a plurality of power transmission lines as training pictures; using the plurality of training pictures, establishing a detection model of the strain clamp according to a FasterRCNN algorithm, and establishing a classifier model based on a convolutional neural network according to the convolutional neural network; determining a target feature region in the to-be-detected picture based on a Faster RCNN algorithm and a detection model of the strain clamp, obtaining coordinate information of the target feature region, and cutting out the target feature region; and inputtingthe cut target feature region into a classifier model, and detecting whether the target feature region has defects or not based on the classifier model. According to the defect detection method, device and equipment for the strain clamp and the storage medium provided by the embodiment of the invention, the convenience of defect detection of the strain clamp can be realized, and the defect detection efficiency is improved.

Description

technical field [0001] The embodiments of the present invention relate to defect detection technology, and in particular to a defect detection method, device, equipment and storage medium of a tension clamp. Background technique [0002] In the field of power systems, the tension clamps in the transmission line are used to fix the conductors or lightning conductors on the tension insulator strings of non-linear towers, which play the role of anchoring and conducting. With the rapid development of the power grid, the voltage level of the power grid The height is getting higher and higher, the transmission lines are getting denser, and the performance defect of the strain clamp has become an important factor affecting the safe and stable operation of the power grid. Therefore, for the safe operation of the power grid and the reduction of economic losses, it is necessary to detect whether there is a defect in the tension clamp in time. [0003] At present, the existing defect ...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing defect detection methods for tension clamps mostly use manual detection to detect whether there is a defect in the tension clamps in the transmission line. The detection speed is slow and consumes a lot of time. manpower, which will bring about a large workload and low work efficiency

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