透過您的圖書館登入
IP:3.129.249.117
  • 期刊

Research on AGV Scheduling Method of Automated Container Terminal based on Digital Twin

摘要


The reasonable scheduling of automated guided vehicle (AGV) plays an important role in the operation of automated container terminal (ACT). It determines the operation efficiency of ACT. In the actual operation process of AGV, the existence of uncertain factors will directly affect the overall operation efficiency of ACT. To respond the uncertain interference in the operation process in time, a digital twin-based AGV scheduling method for ACT is proposed by combining digital twin (DT) with AGV operation mode. DT is the digital expression of physical entity, which has the ability of virtual real interaction and real-time mapping. Through the data interaction between physical space and virtual space, accurate AGV scheduling can be realized. In this paper, DT is applied to an ACT, and DT-based AGV scheduling framework and problem model are established. A DT-based AGV scheduling strategy for ACTs is proposed to further expound the effectiveness and feasibility of the framework and the research problem.

參考文獻


Martín-Soberón, A.M et al. Automation in Port Container Terminals, Procedia-Soc.Behav.Sci.160, (2014), pp.195–204.
J. Xin, Negenborn R R, Lodewijks G. Redispatching of interacting machines in automated container terminals[J], IFAC Proceedings Volumes,2014,47(3):1698-1704.
B. Cai, S. Huang, D. Liu, et al. Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals, Robotics & Autonomous Systems, (2014), 62(4):506-514.
Choe R, Kim J, Ryu K R. Online preference learning for adaptive dispatching of AGVs in an automated container terminal, Applied Soft Computing, (2016), 38: 647-660.
Glaessgen E, Stargel D. The digital twin paradigm for future NASA and U.S. Air force vehicles, Collect Tech Pap AIAA/ASME/ASCE/AHS/ASC Struct Dyn Mater Conf, 2012.