Abstract
In order to improve the accuracy of risk recognition in power operation site, an intelligent remote monitoring method for power operation site based on video recognition technology is proposed. First, according to the video recognition architecture, the pictures of the power operation site are collected through the video camera. Secondly, in order to improve the quality of the image, histogram enhancement, smooth denoising and gradient sharpening are performed on the collected image. Finally, the preprocessed image is input into BP neural network, and the risk recognition of power operation site is obtained by adjusting and calculating the threshold and weight. Through the risk recognition results, the monitoring terminal personnel can take targeted measures. The test results show that this method can accurately monitor the risk of power operation site, and can improve the query processing times per second, which can meet the requirements of intelligent remote monitoring of power operation site.
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