Design of Intelligent Monitoring Method for Transmission Line Status Video

Under multi-parameter monitoring intervals, the scope of intelligent video monitoring of transmission line status is limited and cannot correspond to the status features of specific points along the transmission line. To address this, we propose an intelligent video monitoring method for transmission line status based on the particle filter algorithm and image enhancement. By analyzing the formation of transmission line images and calculating the brightness attenuation values of video images under different lighting conditions, this method enhances regions containing key feature pixels. Based on the enhanced images, the method analyzes the characteristic values of specific points along the transmission line, uses these as initial particles in the particle filter algorithm, and updates the transmission line status information through matching to complete the intelligent monitoring of transmission line status. Experimental results show that the correlation coefficients obtained using the proposed method are high, meeting the practical needs of transmission line operation and maintenance.