Open AccessWaste Smoke Recovery Based on Time Window Path Optimization of Multi-AGV System
Author(s) -
Shunkai Sun,
Jie Li,
Qi Xu,
Meng Shu,
Xue Shen,
Jin Jin,
Haobo Cui,
Jingjie Liu,
Guorui Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/428/1/012018
Subject(s) - path (computing) , smoke , computer science , window (computing) , fork (system call) , real time computing , automated guided vehicle , simulation , automotive engineering , engineering , waste management , artificial intelligence , operating system
In this paper, a floor fork laser guided transport vehicle is used to recover waste smoke. The advantages are obvious, small and flexible, safe and reliable, and it is widely used in working places with narrow space and high level difference. In the multi-AGV system, each AGV coordinated with each other to complete the waste smoke recovery. When multiple AGVs are running at the same time, it is necessary to consider path planning issues to avoid conflicting paths. On the one hand, the operation efficiency is affected, and on the other hand, the AGV system is paralyzed. Multiple AVGs run in the system at the same time and perform multiple handling tasks at the same time. Coordination is required to avoid or preempt the area first, avoid path conflicts, and collaborate to achieve efficient distribution.