Crane Hook Motion Monitoring Based on Trajectory Filtering and Tracking Video Monitoring

Abstract

Crane hoisting is an important part of smelting operations. The traditional operation method is that the ground dispatcher and the driver work together, which is not only inefficient but also has great potential safety hazards. To solve the above problems, this paper designs a video monitoring system. The PTZ camera is used for video monitoring of the crane hook operation, the laser sensor and the rotary encoder collect data, and the Kalman-based detection adaptive filtering algorithm is used for filtering processing to obtain the precise motion trajectory of the hook. On the basis of the traditional PID controller, the DMC controller based on predictive control is designed to solve the control lag problem in the control process of PTZ cameras. The experimental results show that the monitoring system can clearly display the hook in the center of the screen, help the crane operator to grasp the status of the hook, improve the production efficiency of the workshop, and ensure the safety of hoisting.