基于时空扩散的输电走廊图像火灾预警方法

Image fire warning method for transmission corridor based on spatiotemporal diffusion

为解决输电走廊图像火灾预警误报率高的问题,提出了一种基于时空扩散的输电走廊图像山火预警方法。首先,采用脉宽调制整流感应取电互感器方式实现摄像头取电。其次,对采集图像进行预处理,消除图像噪声对模型火灾识别带来的影响,并提取输电走廊图像特征,建立正常样本库;在此基础上,通过正常样本比对,筛选出异常样本,并结合时空扩散方法分析烟雾时间维度的形态变化情况,进而识别火灾。最后,在某供电公司的实际应用中,该方法的火灾识别准确率为98.7%,所提方法能有效区分云彩和火灾烟雾特征,实现输电走廊穿越森林火灾的精准识别。

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.