Research on Automatic Identification of Substation Circuit Breaker Based on Shape Priors

Abstract

Abstract. High-pressure circuit breakers are very important and it undertakes the disconnection and connection control of high voltage transmission lines. It is one of the equipment of substation daily inspection. State of breakers are judged by "open" and "close" characters label, so a shape-prior active contour model to realize state automatic recognition of breaker images collected by inspection robot is presented in this paper. Shape-prior active contour model combines the shape information with CV model to build energy functional model, then set up initial position curve by a priori knowledge and drives the curve evolution in minimize energy functional process, the curve position is the character label contour when energy functional shows minimum. We do experiment for the algorithm on different images, demonstrate that the algorithm based on known character contour, have good segmentation results of circuit breaker in the image character recognition accuracy and applicability when the circuit breaker character is actually partial occlusion, local deformation, scale changes.

Research on Transmission Line Hardware Identification Based on Improved YOLOv5 and DeblurGANv2

“…However, Swish uses the Sigmoid function for computation, which is computationally expensive and its advantage is not obvious when applied to shallower network layers. the H-Swish activation function [26] replaces the Sigmoid function with the less computationally intensive ReLU6, as shown in (3).…”

“…Electricity is mostly transported across regions by overhead high-voltage transmission lines, whose stability and safety are crucial to ensuring the power system is continuously operational. One of the most effective methods of intelligent inspection now in use, which can successfully address the issues of manual inspection's poor efficiency, high labor intensity, and high risk, is the deployment of inspection robots [2,3]. In the inspection process of the inspection robot, the inspection robot is equipped with sensors and cameras to navigate in the transmission line, identify the anti-shock hammers, spacer bars, dangling wire clamps and other gold tools on the line, and then execute the corresponding crossing procedures to conduct online inspection to discover obstacles and collect data for offline inspection.…”

Automatic Detection of Transformer Components in Inspection Images Based on Improved Faster R-CNN

“…With the popularization of inspection robots and the accumulation of image data in smart substations, the automatic recognition of power equipment states based on inspection images is increasingly being widely used, such as switch state recognition and insulator breakage identification [1][2][3]. Compared with the traditional manual inspection, the computer vision technology can effectively improve the inspection frequency and efficiency, and avoid the influence of subjectivity on the accuracy [4,5]. As one of the most important parts in substations, the main transformers have a bearing on the safety and reliability of the power system.…”