Investigation on the Lightning Location and Warning System Using Artificial Intelligence

• Main Authors: Tianru Shi, Danhui Hu, Xiang Ren, Zeqi Huang, Yaodong Zhang, Jianlan Yang
• Format: Article
• Language: English
• Published: Hindawi Limited 2021-01-01
• Series: Journal of Sensors
• Online Access: http://dx.doi.org/10.1155/2021/6108223

An in-depth study on a lighting location system is conducted in this paper. Firstly, the history and application of this system are summarized. The overall structure is detailed, including the detection principle of the lightning location, the orientation method, the detection circuit, the method of discriminating cloud flash and ground lightning signal, the error analysis, the guideline for station deployment, the preprocessing of the central station, and the function and structure of data server and user interface. The development of a lightning monitoring system in China is presented, and the construction of a new generation of a lightning location system in the Hubei Province power grid is introduced. Through the collection of measured data, the performance of the lightning location system in the lightning accident inspection rate, lightning location, and lightning situation statistics are analyzed. Artificial intelligence algorithms are applied in the lightning warning system. The new system has a high predicting accuracy.