Soft Actor-Critic reinforcement learning-based resource collaborative installation and adjustment workshop adaptive scheduling method and system

The invention belongs to the related technical field of workshop scheduling, and discloses a Soft Actor-Critic reinforcement learning-based resource collaborative installation and adjustment workshop adaptive scheduling method and system, and the method comprises the steps: constructing a machining workpiece task pool, a machining workpiece selection rule, a topological unit distribution rule, a collaborative worker distribution rule and an intelligent agent model, the intelligent agent model comprises a multi-layer perceptron module and a strategy module based on a Soft Actor-Critic algorithm; a multi-layer perceptron module is adopted to obtain weight vectors of the selection rules of all the machined workpieces in the current state of the workshop environment, the weight vectors are adopted to recombine the priority weights of all the workpieces in the machined workpiece task pool, and the weights of all the workpieces under the composite rules are obtained; and carrying out topological unit and collaborat