Research Article
Collaborative Path Optimization Method for Flood Control Material Storage
@INPROCEEDINGS{10.1007/978-3-030-94182-6_35, author={Zhihao Li and Xinyao Wang and Shuhui Bi and Qinjun Zhao}, title={Collaborative Path Optimization Method for Flood Control Material Storage}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={A* algorithm Appointment form Dynamic weighting table}, doi={10.1007/978-3-030-94182-6_35} }- Zhihao Li
Xinyao Wang
Shuhui Bi
Qinjun Zhao
Year: 2022
Collaborative Path Optimization Method for Flood Control Material Storage
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_35
Abstract
In order to reach its efficient storage and wide application, this paper analyzes and improves the outgoing efficiency of flood control material warehouse. Firstly, according to the characteristics of flood control material warehouse, the grid model of the warehouse is established, and the storage shelves are classified to store the goods with different use frequencies. Secondly, in view of the possible conflicts of robots in the operation of the warehouse, this paper proposes multiple strategies to improve the efficiency of goods delivery under the premise of avoiding conflicts. The reservation table is established to solve the problem of frontal collision of robots. Further, using the improved A* algorithm, each robot can transport goods along the shortest path. The dynamic weighting table is added to solve the multi-robot driving strategy of intersection conflicts, and the most urgent goods are guaranteed priority out of storage. Finally, the proposed program was verified by the simulation.
