Here at Crane Service Inc., we use 3D space and Computer Aided Design (CAD) to engineer your project. A lift plan creates a basis of how the lift should go and creates a real-time diagram that any crane operator and project manager can follow safely and effectively. The proposed approach is promising for planning feasible lifting paths and estimating reasonable lifting times, which help generate and review lifting plans given the site conditions.Creating a lift plan for any engineered lift project is a crucial aspect of success. These results indicated that the proposed method is significantly adaptable to the actual sites. The task time estimated from planned motion shows a significant correlation ratio of 0.6857 and an average error of 19.3 seconds with the actual lifting time. The results show successful learning on lift task procedures, stable and practical lifting plans with a failure ratio of 3%, and a coordination ratio of 28% with a positive evaluation of expert operators. Among which a on-policy RL-based method presents realistic motion planning results that can be feasibly executed by crane operators. As the method for tower crane motion planning, representatives on-policy and off-policy algorithms with various training strategies are proposed and tested. To address those challenges, this study proposes the reinforcement learning-based method for tower crane motion planning that could conduct a spatio-temporal lifting plan which is based on the actuator system of the tower crane. These are important when liftings are executed according to the plan. Another problem is the difficulty in estimating the task time of the planned path. However, most previous studies were only limited in grid trajectory from coordinates rather than motions based on the mechanic performance of the tower crane. To address this issue, researchers have developed mathematical models combined with various path-finding algorithms. Automizing efficient lift planning from a large number of potential candidates is a complex optimization problem.

8 Publisher 한양대학교 Degree Master Abstract Tower crane lift planning plays an important role in affecting productivity by providing efficient lift schemes for moving resources. Title Simulation and Automation for Tower Crane 3D Lift Planning Using Reinforcement Learning Author Sung Hwan Cho Alternative Author(s) 조성환 Advisor(s) 한상욱 Issue Date 2022.

3d crane lift plan