A Mask RCNN-based substation isolation switch detection and identification method

Abstract

The invention belongs to the technical field of substation equipment detection and recognition. The invention discloses a MaskRCNN-based detection and identification method for a disconnecting switchof a transformer substation. The method comprises the following steps: preprocessing a monitoring image, calibrating the state and the contour of an isolating switch in the preprocessed image by utilizing a calibration tool, inputting calibrated image data into a Mask RCNN network model, training the network model, and continuously adjusting parameters at the same time, so that the network model autonomously learns a mask of the state of the isolating switch; Performing detection positioning and state identification on the isolating switch in the monitoring image by using the trained model, and outputting a predicted detection frame of the isolating switch and a foreground of a target; the trained network model has a classification capability while detecting the position of the isolation switch, i.e., can identify the "on", "off" and "intermediate" states of the isolation switch. According to the method provided by the invention, while the target pixel level identification is realized,each target is segmented, the foreground and the background of the target are well distinguished, and the robustness and the rotation invariance are extremely high.

Description

technical field [0001] The invention belongs to the technical field of substation equipment detection and identification, and in particular relates to a substation isolation switch detection and identification method based on Mask RCNN (MaskRegion-based Convolutional Neural Network, Mask RCNN). Background technique [0002] High-voltage isolating switch is an important switching device in the electrical system of power plants and substations. It is also the most widely used high-voltage electrical equipment in the power system. It can ensure the safety of high-voltage electrical appliances and devices during maintenance. Since most of the isolating switches in substations are outdoor, their mechanical rotation is directly exposed to the sun and rain, and is greatly affected by the environment. Moreover, the number of operations is less, and the rotating parts such as bearings lack lubrication, which is prone to corrosion and rust. The abnormal opening and closing operation ...

AI Technical Summary

Problems solved by technology

Since most of the isolating switches in substations are outdoor type, their mechanical rotation is directly exposed to the air to withstand the sun and rain, which is greatly affected by the environment

Moreover, the number of operations is less, and the rotating parts such as bearings lack lubrication, which is prone to corrosion and rust.

The abnormal opening and closing operation of the isolating switch has a serious impact on the safety of the substation, and will cause great trouble to the operation and maintenance of the equipment

At present, the monitoring of power equipment by power companies is mainly based on manual analysis of online visible light and infrared images. This detection method will waste a lot of labor costs.

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