To improve the assembly effect of buildings, a component detection and assembly method based on automatic obstacle avoidance and BIM building information model is proposed. After constructing the kinematic model of robot arm using BIM, the improved RRT algorithm and the improved YOLOv5 network are respectively utilised for the automatic obstacle avoidance of robot arm and accurate detection of pre-components. The results show that after the integration of the two algorithms, the obstacle avoidance accuracy and detection accuracy of building components have been significantly improved. The collaboration of the two methods can further improve the actual construction efficiency of prefabricated building components, and reduce construction costs, thus achieving the maximisation of construction benefits.
Xuan Deng (Thu,) studied this question.