摘要:
Process manufacturing is a pillar of modern economy;it is the dominant mode of production in many industries,including oil and gas,chemicals,nonferrous metals,iron,steel,and more.In order to address the problems of resource constraints,energy efficiency,and environmental protection in process manufacturing,it is necessary to develop systems and methods to make process manufacturing more efficient,greener,and smarter.From another perspective,artificial intelligence has been successfully applied in various fields,such as autonomous vehicles,image analysis,robotic manipulators,real-time assistants,and smart recommendation,and has demonstrated its powerful strengths in knowledge representation,cognitive comprehension,and autonomous learning.Therefore,a deep and tight integration between artificial intelligence and process manufacturing is a promising direction toward“smart process manufacturing.”Smart process manufacturing has become a hot research topic in recent years,and various governments have released strategic plans for smart process manufacturing with the aim of upgrading and transforming the process industry.