The application discloses a
material flow transfer collaborative control method based on multi-source
information fusion, and particularly relates to the general control and regulation field, which comprises five steps of multi-source heterogeneous
data acquisition and standardized representation,
state space construction oriented to control characteristics, multi-element state analysis based on parallel constructor, multi-factor fusion decision generation, instruction execution and feedback adaptive
closed loop; the global
data acquisition mechanism is constructed to integrate carrier, facility and task data, the workshop
layout is abstracted into a structured
graph model to generate a state snapshot, the
system state is evaluated in parallel from the efficiency, stability and economy dimensions, the multi-objective
decision model is constructed by combining the task priority to dynamically adjust the weight, and the model self-evolution and self-correction are realized through the
closed loop feedback; the application breaks the limitation of traditional static scheduling, improves the
collaboration and precision of the
material flow transfer, reduces the operation
energy consumption, and provides an efficient solution for the intelligent upgrading of the
industrial material flow
transfer system.