Research on adaptive factor graph fusion perception method for transmission line crossing under multisensor collaboration

The application of multi-sensor (millimeter wave radar, LiDAR, binocular camera, etc.) fusion perception technology to the monitoring of cross sections of transmission lines is proposed in response to the difficulty of defect elimination and repair after accidents in the critical section of "three spans".The factor graph model is constructed based on the transmission line status information collected by multiple sensors, and the fusion effect of multiple types of signals is achieved by integrating multi-sensor information variables and adopting a global optimization method to improve credibility. Through simulation, the information fusion effects of weighted average method, multi Bayesian estimation method, and factor graph algorithm were compared. The simulation results show that the factor graph algorithm has higher credibility and better performance in fusing multiple types of signals. It can maintain the stability of the system and enhance its robustness, thereby achieving the goal of accurate identification and warning of transmission line crossing safety risks and improving the safety operation level of