The development goal of the intelligent cluster control system for the beam yard warehousing equipment is to achieve the intelligent and automated operations throughout the entire process from the precast beam pedestal to the outbound dock within the yard.Based on a certain highway expansion project,which is the first in China to adopt the three-dimensional composite expansion mode for highways.This paper addresses the issue of multiple beam transportation vehicles operating simultaneously in the storage system,which can easily lead to conflicts and deadlock situations.The Hopcroft-Tarjan algorithm is employed to establish path orientation strategies for the beam warehousing district.An entry and exit scheduling model for beam transportation,with the goal of minimizing transportation time,is developed,and a hybrid genetic algorithm(IH-GA)is designed to solve this model.Results show that the optimized hybrid genetic algorithm has a faster convergence rate and higher optimization efficiency.It can effectively reduce the time required for beam transportation operations and enhance the efficiency of beam scheduling.
cluster control systembeam transportation vehicle schedulinghybrid genetic algorithmbeam yard warehousing equipment control
维普
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