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Proceedings Paper

Design of online monitoring and forecasting system for electrical equipment temperature of prefabricated substation based on WSN
Author(s): Weiran Qi; Hongxia Miao; Xuejiao Miao; Xuanxuan Xiao; Kuo Yan
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Paper Abstract

In order to ensure the safe and stable operation of the prefabricated substations, temperature sensing subsystem, temperature remote monitoring and management subsystem, forecast subsystem are designed in the paper. Wireless temperature sensing subsystem which consists of temperature sensor and MCU sends the electrical equipment temperature to the remote monitoring center by wireless sensor network. Remote monitoring center can realize the remote monitoring and prediction by monitoring and management subsystem and forecast subsystem. Real-time monitoring of power equipment temperature, history inquiry database, user management, password settings, etc., were achieved by monitoring and management subsystem. In temperature forecast subsystem, firstly, the chaos of the temperature data was verified and phase space is reconstructed. Then Support Vector Machine - Particle Swarm Optimization (SVM-PSO) was used to predict the temperature of the power equipment in prefabricated substations. The simulation results found that compared with the traditional methods SVM-PSO has higher prediction accuracy.

Paper Details

Date Published: 7 October 2016
PDF: 6 pages
Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020C (7 October 2016); doi: 10.1117/12.2262329
Show Author Affiliations
Weiran Qi, Hohai Univ. (China)
Hongxia Miao, Hohai Univ. (China)
Xuejiao Miao, Hohai Univ. (China)
Xuanxuan Xiao, Hohai Univ. (Chile)
Kuo Yan, Dalian Univ. of Technology (China)


Published in SPIE Proceedings Vol. 9902:
Fourth International Conference on Wireless and Optical Communications
Maode Ma, Editor(s)

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