An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network

Energies

Sung-Wook Kim¹  Guoming Wang²  Gyung-Suk Kil²  Woo-Hyun Kim²  Dae-Won Park³ 

[1] D Center, EMI Solutions Co., LTD., Busan 49112, Korea;Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea;;R&

关键词: lightning warning system;    electric field mill;    loop antenna;    artificial neural network;    prediction accuracy;   

DOI  :  10.3390/en12071275

来源: DOAJ

【 摘 要 】

Prediction of lightning occurrence has significant relevance for reducing potential damage to electric installations, buildings, and humans. However, the existing lightning warning system (LWS) operates using the threshold method and has low prediction accuracy. In this paper, an intelligent LWS based on an electromagnetic field and the artificial neural network was developed for improving lightning prediction accuracy. An electric field mill sensor and a pair of loop antennas were designed to detect the real-time electric field and the magnetic field induced by lightning, respectively. The change rate of electric field, temperature, and humidity acquired 2 min before lightning strikes, were used for developing the neural network using the back propagation algorithm. After observing and predicting lightning strikes over six months, it was verified that the proposed LWS had a prediction accuracy of 93.9%.

【 授权许可】

Unknown