Automated Hazard Identification in Tower Crane Lifting Operation Using RTK-GNSS Positioning and Tracking

Abstract: Tower cranes play an essential role in lifting heavy building elements, which often poses significant hazards to workers. However, automated methods for crane monitoring remain underdeveloped. This paper introduces a data-driven method to track crane trolley trajectories and identify associated hazards. The method utilizes RTK-GNSS to capture spatial movements of the trolley. By analyzing changes in height and speed, a lifting operation can be divided into distinct stages. Integrating the trajectory of the workers and trolley with the site model and schedule allows for incident detection. The proposed method offers a cost-effective and implementable alternative for crane safety monitoring.