The invention discloses a
robot collaborative
sample preparation and sample
storage management and control method and
system based on multi-mode intelligent scheduling, and aims to solve the problems of insufficient task priority adjustment, poor collaborative operation capability, poor resource optimization effect and the like in the prior art. According to the method, a multi-agent
system architecture is adopted, and dynamic task priority adjustment is realized through a priority evaluation model; collaborative operation of the
robot and the equipment is realized through a Control Net protocol; and task scheduling strategy optimization is realized through a
reinforcement learning algorithm. According to the method, the
sample preparation efficiency can be improved, the
resource utilization rate can be optimized, and the high-priority task can be timely completed. The method can be applied to
sample preparation and storage processes in industries of
coal, minerals and the like.