Tower crane anti-collision algorithm design and simulation

Yang Zhang; Xinrong Li

doi:10.1117/12.2685476

15 August 2023 Tower crane anti-collision algorithm design and simulation

Yang Zhang, Xinrong Li

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 1271949 (2023) https://doi.org/10.1117/12.2685476
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

As the main transportation tool at the construction site, the tower crane is essential for operation. In order to avoid collisions with the surrounding obstacles or other tower cranes when running, this article designs a tower crane anti -collision algorithm. This algorithm first models the tower crane and obstacles, and realizes the collision monitoring between the tower crane and the obstacles by dynamically calibrating the alarm area around the obstacles; The information interaction, combined with the trajectory prediction algorithm to implement the collision monitoring between the tower cranes; at the same time, it is proposed to apply the Kalman filter to the trajectory prediction of the tower crane to improve the accuracy of the risk prediction; in the end, through the QT design simulation platform, And use randomly generated tower cranes to run data to verify its effectiveness. After testing, the algorithm can effectively avoid the occurrence of tower crane collision accidents, and has certain application prospects.

Citation Download Citation

Yang Zhang and Xinrong Li "Tower crane anti-collision algorithm design and simulation", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 1271949 (15 August 2023); https://doi.org/10.1117/12.2685476

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