Research on task scheduling and path planning for automatic coal sample preparation systems
In response to the low efficiency issues in robot task scheduling and automated processes within coal sample automatic preparation systems,a solution based on optimization algorithms is proposed.This solution involves adopting a robot task scheduling model and applying algorithms such as Genetic Algorithm and Particle Swarm Optimization for solving the model.The application of these optimization techniques resulted in a significant improvement in system operation efficiency and a reduction in energy consumption.Furthermore,the optimized system demonstrated clear advantages in terms of task execution speed and resource utilization,providing guidancefor the intelligent development of the coal industry.
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维普
