Title :
A condition monitoring algorithm based on image geometric analysis for substation switch
Author :
Jicang Lu ; Hui Lin ; Weizheng Zhang ; Xiaowei Shi
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
For the problem of real-time monitoring and condition decision of high-voltage substation switches, a real-time monitoring algorithm is proposed for the substation folded switch based on geometric analysis of monitoring images. Firstly, capture images containing the folded switch using the properly installed camera, and transfer them to the data processing terminal. Then, search for straight line segments representing two arms of switch using the method of image contour description, and calculate the angles between the segments using the cosine theorem. At last, determine the condition of the switch that whether it is closed well. The experimental results show that the proposed method could accurately calculate the real-time angle of the switch, and then achieve unmanned and real-time monitoring for condition of the switch.
Keywords :
condition monitoring; image processing; substation protection; switchgear; camera; condition decision; condition monitoring algorithm; cosine theorem; data processing terminal; high-voltage substation switches; image contour description method; image geometric analysis; real-time monitoring algorithm; substation folded switch; Artificial neural networks; Companies; Image edge detection; Monitoring; Programming; Real-time systems; Switches; angle measuring; condition monitoring; folded switch; geometric analysis; substation;
Conference_Titel :
Intelligent Computing and Internet of Things (ICIT), 2014 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-7533-4
DOI :
10.1109/ICAIOT.2015.7111541