Design of Geological Disasters Warning System for Power- Transmission Lines
Abstract— Due to the vast territory, complex geological conditions, and meteorological environments China has experienced frequent geological disasters. The various types, wide distribution, and significant destructiveness of geological disasters heavily impact the power-grid constructions. Moreover, in China, power transmission lines have wide cover-ranges and long distances along with various harsh geographical conditions. Especially with the influence of heavy rains, geological disasters (e.g., landslides and collapses) are easy to be introduced and seriously threatens the safety and stability. Thus, this study presents a multisource based geological disaster early warning system for the power-grid(MGDEWS-PG). Through collecting and analyzing the power-transmission lines, geological environment information, meteorological data and hidden hazard spots, the MGDEWS-PG achieves implementations of the map display, investigating historical disaster, monitoring, early warning and reporting the geological disasters. The realization of the MGDEWS-PG is able to improve the efficiency and efficiency of the geological hazard detection and control of transmission lines, improve the risk management and control ability of transmission lines, and provide a reliable scientific basis for disaster warning and emergency response.
Index Terms— Geological disasters, ground disaster monitoring, ground disaster warning, multi-source data, system implementation
BinBin ZHAO, WenHao OU, Yi Liu
Power transformer engineering research institute, China Electric Power Research Institute Co., Ltd., CHINA
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, CHINA
WuYang ZHANG, JunJi CHEN
State Grid Chongqing electric power company, CHINA
State Grid Hubei electric power Co., Ltd., CHINA
State Grid Sichuan electric power company, CHINA
Cite: BinBin ZHAO, WenHao OU, Wei XIA, Yi Liu, WuYang ZHANG, JianGuo MA, TunFang SONG, JunJi CHEN, "Design of Geological Disasters Warning System for Power- Transmission Lines," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 352-357, Hong Kong, 15-17 June, 2019.