Advanced Intelligent Manufacturing in Process Industry Using Industrial Artificial Intelligence

In this paper, we propose a new smart manufacturing model for the process industry that incorporates the industrial Internet, industrial intelligence system, industrial artificial intelligence, and process industry. The model aims to maximize performance, optimize product value, and increase profitability through intelligent optimization systems that implement true cost modeling, production planning optimization, energy design, manufacturing event forensics, predictive maintenance planning, product quality management, and autonomous systems for sustainable production. We also address scientific issues such as human-machine collaborative optimal decision-making, dynamic system modeling and deep learning for control of complex operating states, 5G-based multi-source information transmission, intelligent modeling of complex industrial systems, digital twin technology and visualization, and prediction and traceability of key process parameters. The proposal concludes with a discussion of production indicators, intelligent autonomous control technology, and human-machine collaborative intelligent optimization decision-making, as well as industrial artificial intelligence algorithm collaborative implementation technology. The use of computer vision technology for mobile monitoring of the dynamic performance of decision-making processes is also presented as a key aspect of implementing intelligent manufacturing in process industries.