Research on the Application of Adaptive Kalman Filter in Intelligent Anti Fall of Tower Operation
At present,there is a safety hazard of high-altitude falling during the operation of transmission line towers.In order to improve the safety factor of tower operators,a tower operation target tracking method based on adaptive Kalman filter is proposed.This paper combines the characteristics of tracking target motion and adopts a uniform motion model as the research model to derive the adaptive Kalman filter theory for the discrete model of the system;the tracking performance of traditional Kalman and adaptive Kalman under different levels of noise and abnormal data is compared and analyzed.The analysis results show that the adaptive Kalman filter algorithm can track and predict the target trajectory well,adapt to complex tracking environments,and can be applied in intelligent anti fall systems for tower operations.
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