Research on Transmission Tower Tilt Prediction Algorithm Based on Multi source Data Fusion

Safety production is an eternal theme for power enterprises. Once the power grid malfunctions, industrial and agricultural production in the affected areas will completely stop. The vast majority of power safety accidents are caused by tower collapse, disconnection, and other issues in the transmission network. To address this issue, the paper proposes a construction site control method based on multi-source data fusion, which transmits operational data of large buildings such as work sites and transmission towers back to achieve on-site construction quality, equipment and machinery monitoring; Secondly, based on the actual situation around the transmission line, the online prediction method of tilt angle based on dynamic sliding window is analyzed to further achieve the purpose of monitoring tower tilt and increase the reliability of the results.