Testing and Research of Human Factor Engineering Optimization Productivity in Intelligent Manufacturing System

Intelligent manufacturing realizes the optimization of product input and output by organically integrating various equipment and virtual data network. An intelligent production system based on human factor engineering technology is put forward to solve the problem that the relationship between each process is not close at present. The system is composed of four parts: production, testing, assembly and storage, and the production process of products is realized through online operation between each part. The system uses a driver program completed by the input terminal, which is controlled by PLC timing and logic. The threads of multiple job stations are sorted with minimum completion time and minimum machine load as optimization objectives. Control the system according to the operation plan issued by the CNC system. The mechanism of humancomputer interaction to shorten the human-computer interaction gap is explained from three aspects: behavior, intention and cognition. Experiments show that this design has the advantages of small storage space and small demand for computer resources. It can meet the production process requirements.