Abstract
Conductor galloping is a kind of phenomenon which is harmful to electric power equipment. If conductor galloping is found and risk assessment is made timely, it can greatly reduce the possibility of line short, open circuit. Currently, it is mainly rely on the way of manual inspection, in which there exists the monitoring blind area. In this paper, an intelligent danger classes detection system design method of conductor galloping based on S3C2410 and CC2530 meter data collecting and processing module. It is mainly responsible for the collection of abnormal accelerated speed information and abnormal recognition of power conductor, and the data through the Zigbee network are transmitted to the control center. The principal computer constituted by software is responsible for the information management, danger classes division of conductor galloping, and giving an alarm. The actual test proves that the system has a higher accuracy of assessment, stable performance and better robustness.
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