Abstract: Under the multi parameter monitoring interval, the intelligent monitoring range of transmission line status video is relatively small, and it cannot correspond to the characteristic values of transmission line point status. Therefore, an intelligent monitoring method for transmission line status video based on particle filtering algorithm and image enhancement is proposed. Analyze the causes of transmission line images, calculate the brightness attenuation values of video images under different lighting conditions, enhance important feature pixel areas, innovatively analyze the characteristic values of transmission line point states based on enhanced images, use them as initial sample particles, substitute them into particle filtering algorithms, match the updated results of transmission line state information, and complete intelligent monitoring of transmission line states. The experimental results show that the monitoring results obtained after applying the proposed method exhibit a high correlation coefficient. Satisfied the practical needs of transmission line operation and maintenance work.