1.Aostar Information Technology Co., Ltd.,; 2.College of Communication and Information Engineering,, Chongqing University of Posts and Telecommunications
Abstract: To solve the problem of high false alarm rate in transmission corridor image fire warning, a transmission corridor image mountain fire warning method based on spatiotemporal diffusion is proposed. Firstly, the camera is powered by a pulse width modulation rectifier induction power transformer. Secondly, the collected images are preprocessed to eliminate the impact of image noise on model fire recognition, image features of power transmission corridors are extracted, and a normal sample library is established. On this basis, abnormal samples are screened out through normal sample comparison, and the spatiotemporal diffusion method is combined to analyze the morphological changes of smoke in the time dimension, thereby identifying fires. Finally, in the practical application of a certain power supply company, the accuracy of fire identification using this method is 98.7%. The proposed method can effectively distinguish the characteristics of clouds and fire smoke, achieving accurate identification of forest fires crossing power transmission corridors.
Key words : spatiotemporal diffusion;transmission corridors,;image,;fire warning;smoke characteristics,;normal sample library