Dynamic stability of rail guided vehicle stack

被引:0
|
作者
Yin H. [1 ]
Dong Y. [2 ]
Feng Z. [1 ]
He H. [1 ]
Chen F. [2 ]
机构
[1] School of Information Science and Technology, Southwest Jiaotong University, Chengdu
[2] School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu
基金
中国国家自然科学基金;
关键词
dynamic stability; intelligent warehouse; rail guided vehicle stack; resisting force; tolerable acceleration;
D O I
10.13196/j.cims.2022.0815
中图分类号
学科分类号
摘要
Rail Guided Vehicle (RGV) stack is a key part of intelligent warehouse, which collapse during movement will not only reduce efficiency, but also bring safety hazards such as cargo damage and rail deformation. To improve the efficiency, intelligent warehouse system, a method to calculate the tolerable acceleration (i.e. the maximum acceleration with no boxes ever collapse) of RGV stack was proposed from the perspective of box position and rigid body force. Based on the acceleration direction and the position of the boxes in the stack, the boxes were divided into multiple rigid bodies, and each rigid body contained boxes that would collapse together, then the rigid body tree was constructed according to the position of rigid bodies, and the resisting force transmitted between the rigid bodies through the tree was analyzed; the tolerable acceleration of the RGV stack was calculated according to the resisting force. The proposed tolerable acceleration could be used to limit the acceleration of RGV motion, and could also be used to quantitatively evaluate the dynamic stability of the stack. The experimental results showed that there was a very strong linear correlation between tolerable acceleration and the dynamic stability of the Unity simulation stack, with a Pearson correlation coefficient> 0. 8, which was better than the existing stack dynamic stability evaluate methods. © 2024 CIMS. All rights reserved.
引用
收藏
页码:316 / 328
页数:12
相关论文
共 25 条
  • [1] HE Liming, The development trend of intelligence logistics in China[J], China Business and Market, 31, 6, pp. 3-7, (2017)
  • [2] PANDIAN A P., Ariticial ïnteteligence appiicaiion nn smart ware-houiïng environment for automated Oigisiics, Journal iif Ariirial Inteliigence, 1, 2, pp. 3-72, (2019)
  • [3] MAHROOF K., A humarncentric perspecive exploring the readïness towards smart warehouing : The case of a large retail distribution warehouse, Internaioonal Journal of Informaion Management, 45, pp. 176-190, (2019)
  • [4] DING C, HE H L, WANG W W, Et al., Opiimal strategy for inteliigent rall guided velû dynamic scheduiing, Comput ers & Electrccal Engineering, 87, (2020)
  • [5] CASTRO A L, DE SOUZA J P C, ROCHA L F, Et al., Ada-ptPack Studio : An automated intelhg'ent frame-work for ofliine factory programming J ], Industrial Robot: The Internaiional Journal of Robotics Research and Application, 47, 5, pp. 697-704, (2020)
  • [6] SHEN D, HUJ, ZHAI T, Et al., Paralel loading-and unloading: Smart technology towards inteliigent logisrics, Pro-ceedings iff the IEEE Internaiional Conference on Systems, Man and Cybernetics (SMC), pp. 847-851, (2019)
  • [7] GZARA F, ELHEDHLI S, YILDIZ B C., The paUet loading probem: Three-dimensional bin packing with practical constraints, European Journal iff Operational Research, 287, 3, pp. 1062-1074, (2020)
  • [8] BARROS H, PEREIRA T, RAMOS A G, Et al., Compext constraint in the distributor's palet loading problem, Mathematics, 9, 15, (2021)
  • [9] BORTFELDT A, WASCHER G., Constraints in container ioad-ïng"-A state-o-the-art review, European Journal iff Operaioal Research, 229, 1, pp. 1-20, (2013)
  • [10] WU Bei, DING Wenying, DU Yanhua, Et al., Adapiive random algorithm based on gravity loading to solve 3D-MBSBPP [J], Computer Integrated Manufacturing-Systems, 26, 11, pp. 3084-3093, (2020)