Design of Mechanical Automatic Production Control System Based on Intelligent Manufacturing Environment
In the context of intelligent manufacturing,in-depth research has been conducted on the design of mechanical automation production control systems.Firstly,analyze the requirements that the mechanical automation production control system needs to meet.On this basis,a mechanical automation production control system architecture using big data analysis technology is proposed,and adaptive optimization algorithms are used for real-time scheduling and optimization of production.Then,a fault prediction model based on deep reinforcement learning was designed,which can accurately predict the probability of equipment failure and propose maintenance strategies.Finally,the effectiveness of the system was verified through simulation experiments,providing an efficient and reliable control system solution for the field of intelligent manufacturing.
万方数据
维普
