Paper
7 October 2016 Design of online monitoring and forecasting system for electrical equipment temperature of prefabricated substation based on WSN
Weiran Qi, Hongxia Miao, Xuejiao Miao, Xuanxuan Xiao, Kuo Yan
Author Affiliations +
Proceedings Volume 9902, Fourth International Conference on Wireless and Optical Communications; 99020C (2016) https://doi.org/10.1117/12.2262329
Event: Fourth International Conference on Wireless and Optical Communications, 2016, Beijing, China
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weiran Qi, Hongxia Miao, Xuejiao Miao, Xuanxuan Xiao, and Kuo Yan "Design of online monitoring and forecasting system for electrical equipment temperature of prefabricated substation based on WSN", Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020C (7 October 2016); https://doi.org/10.1117/12.2262329
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