State Recognition of High Voltage Isolation Switch Based on Background Difference and Iterative Search

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Xu, Jiayuan^1 ; Yu, Chengtao^2 ; Bo, Bin^1 ; Xue, Yu^2 ; Xu, Changfu^1 ; Chaminda, P.R.Dushantha^2 ; Hu, Chengbo^1 ; Peng, Kai^2

Electric Power Research Institute of Jiangsu Electric Power Company, Nanjing, China^1

School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China^2

关键词: Automatic recognition;    Background difference methods;    Background differences;    Detection technology;    High-voltage isolations;    Monitoring accuracy;    Motion trajectories;    Target tracking algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/5/052029/pdf
DOI  :  10.1088/1757-899X/322/5/052029

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The automatic recognition of the high voltage isolation switch by remote video monitoring is an effective means to ensure the safety of the personnel and the equipment. The existing methods mainly include two ways: improving monitoring accuracy and adopting target detection technology through equipment transformation. Such a method is often applied to specific scenarios, with limited application scope and high cost. To solve this problem, a high voltage isolation switch state recognition method based on background difference and iterative search is proposed in this paper. The initial position of the switch is detected in real time through the background difference method. When the switch starts to open and close, the target tracking algorithm is used to track the motion trajectory of the switch. The opening and closing state of the switch is determined according to the angle variation of the switch tracking point and the center line. The effectiveness of the method is verified by experiments on different switched video frames of switching states. Compared with the traditional methods, this method is more robust and effective.