文章基本信息

标题：Fire Risk Assessment of Transmission Line Based on BP Neural Network
本地全文：下载
作者：Jing Zhou ; Weiqing Ma ; Jinya Miao 等
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2014
卷号：8
期号：3
页码：119-130
DOI：10.14257/ijsh.2014.8.3.11
出版社：SERSC
摘要：With global warming, the increasing forest fires have caused trips and outages frequently along transmission lines, which is a serious threat to the operation stability of power grids. Impact factors on transmission line fires are numerous and the current risk assessment methods could hardly handle the complex nonlinear relationship between risks and factors, therefore, a method based on BP neural network is presented to assess fire risk of transmission line in this paper. Firstly, risk assessment system would be established according to impact factors on transmission line fire. Then, based on neural network model, the complex nonlinear relationships between fire risk grade and evaluation factors could be built. Finally, combined with GIS technology, risk assessment on transmission line fire would be done. The applicability and accuracy of this method have been explored by a fire risk assessment of transmission line in Shanxi province. The result shows that the BP neural network based model has good recognition effect, credibility, and consistent with the survey result on transmission line fire risk in the region over the years.
关键词：transmission line; forest fire; risk assessment; BP neural network