DocumentCode :
1729840
Title :
The remote monitoring system of transformer fault based on The internet of Things
Author :
Cheng, Xiao-hui ; Wang, Yang
Author_Institution :
Coll. of Inf. Sci. & Eng., Guilin Univ. of Technol., Guilin, China
Volume :
1
fYear :
2011
Firstpage :
84
Lastpage :
87
Abstract :
The damage of the transformer is a result that was caused by the fault of the oil-immersed transformer which is difficult to remove. After analysis of the need of transformer fault remote monitoring system, here introduce the system´s overall composition and the design of terminal equipment circuit. Here compares many combination ways of internet of Things and power, the traditional oil-immersed transformer monitoring system is analyzed, here found that it has a high cost, loss intelligent data analysis and feedback control of function. Therefore, this paper proposes the use GSM (Global System for Mobile communication) of SMS technology, by the relevant data analyze, to achieve that the Transformer failure is automatically judged, and control transformer temperature of the transform fault remote monitoring system, and complete the appropriate hardware and software design.
Keywords :
Internet; cellular radio; computerised monitoring; data analysis; electronic messaging; fault diagnosis; power engineering computing; power transformer protection; telecontrol; temperature control; transformer oil; GSM; Internet of Things; SMS technology; data analysis; global system for mobile communication; hardware design; oil-immersed transformer fault; remote monitoring system; software design; terminal equipment circuit; transformer damage; transformer failure; transformer temperature control; Cooling; Oil insulation; Temperature distribution; Temperature measurement; Temperature sensors; Failure monitoring system; GSM communication; The Internet of things; transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6181914
Filename :
6181914
Link To Document :
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