DocumentCode :
694448
Title :
Status monitoring and early warning system for power distribution network based on IoT technology
Author :
Ou Qing-Hai ; Wang Zheng ; Zhen Yan ; Li Xiang-Zhen ; Zhou Si
Author_Institution :
Inf. Commun. R&D Center, NARI Group Corp., Beijing, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
641
Lastpage :
645
Abstract :
The Internet of Things (IoT) technology plays an important role in the construction of the smart grid. With the development of the smart grid, the IoT technology has been deepening and extending its applications in the power system. In this background, this paper first introduces the latest progress of IoT technology and the architecture of the power IoT, and then proposes a status monitoring and early warning system for the power distribution network based on the IoT technology. The key technologies and the functions of the system as well as its application in the power distribution network are also described in this paper. The system can be used to display a panoramic view of all the equipment in the distribution network and to realize function such as equipment status, environment and anti-theft on-line monitoring as well as comprehensive analysis and inquiry. The system well demonstrates the State Grid Corporation´s concept on power IoT system design and application.
Keywords :
Internet of Things; alarm systems; condition monitoring; distribution networks; power system measurement; smart power grids; Internet of Things; IoT technology; anti-theft online monitoring; early warning system; equipment status; power IoT system design; power distribution network; smart grid; status monitoring; Monitoring; Protocols; Smart grids; Temperature sensors; Wireless communication; Wireless sensor networks; Internet of Things; Smart grid; power distribution network; status monitoring and early warning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967194
Filename :
6967194
Link To Document :
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