A flexible manufacturing mechanism presentation model for process simulation and execution

The flexible manufacturing capability of unmanned factories and robotic intelligence is reflected in the autonomous collaboration of multiple machines based on manufacturing tasks. This requires intelligent machines to be able to understand manufacturing process requirements and collaborate in production according to specific procedures. Currently, some machines are limited to embedded processes and fixed parameters, which not only restricts their ability to switch manufacturing tasks on demand but also hinder autonomous collaboration among multiple machines. To this end, we proposed the Process Mechanism Presentation (PMP) model that performs multi-view knowledge modeling for manufacturing processes and machine capabilities, and achieves matching through knowledge reasoning. In this model, the process view selects candidate process templates based on manufacturing tasks. Furthermore, by matching the capabilities with the available manufacturing resources, the optimal production process path and step parameters can be determined. The above path and its parameters can be dynamically loaded to selected machines through our constructed process execution middleware, enabling task customization and autonomous collaboration among multiple machines. Finally, we conducted simulation verification and real-case validation of the refrigerator assembly line. The results show that the success rate of process execution guided by the model can reach 99%, demonstrating excellent results.