【摘 要】
：
Based on the analysis of the characteristics and operation status of the process industry,as well as the development of the global intelligent manufacturing industry,a new mode of intelligent manufacturing for the process industry,namely,deep integration
【机 构】
：
State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenya
论文部分内容阅读
Based on the analysis of the characteristics and operation status of the process industry,as well as the development of the global intelligent manufacturing industry,a new mode of intelligent manufacturing for the process industry,namely,deep integration of industrial artificial intelligence and the Industrial Internet with the process industry,is proposed.This paper analyzes the development status of the exist-ing three-tier structure of the process industry,which consists of the enterprise resource planning,the manufacturing execution system,and the process control system,and examines the decision-making,control,and operation management adopted by process enterprises.Based on this analysis,it then describes the meaning of an intelligent manufacturing framework and presents a vision of an intelligent optimal decision-making system based on human-machine cooperation and an intelligent autonomous control system.Finally,this paper analyzes the scientific challenges and key technologies that are crucial for the successful deployment of intelligent manufacturing in the process industry.
其他文献
为防止31004辅助进风和回风巷掘进期间出现瓦斯突出现象,通过分析气相压裂增透机理,得出气相压裂消突圈的增透抽采原理,结合掘进工作面的具体条件,设计掘进工作面采用60 m单孔和双孔气相压裂方案,并分别对方案中的各项参数进行设计,在气相压裂方案实施后进行抽采效果及消突效果分析.结果表明:双孔气相压裂增透效果优于单孔,气相压裂抽采实施后,煤巷掘进期间无瓦斯突出现象出现.
煤矿瓦斯涌出预测对于矿井通风设计和瓦斯管理非常重要.结合程庄矿煤层瓦斯的实际情况,对程庄煤矿9号煤层和15号煤层开采过程中的相对瓦斯涌出量和绝对瓦斯涌出量进行了预测.此外,还针对瓦斯涌出制定了防治措施.
Highlighting the accelerating pace of development in the field of quantum computing,in December 2020 a Chinese team reported that its all-photonic system,called Jiuzhang,performed in 200 s what they estimated would take 2.5 billion years for a classical s
Process manufacturing is a pillar of modern economy;it is the domi-nant 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,
On 1 March 2021,new regulations reinforcing consumers\'right to repair entered into legal force across the European Union(EU)[1].The regulations stem from the EU\'s Ecodesign Directive of 2009,which among other objectives aims to compel manufacturers
Computers already gobble a large share of the world\'s electrical power,and their energy demand will likely soar with the deploy-ment of more and more power-hungry artificial intelligence(AI)systems[1].In a step that might reduce AI\'s electricity use
Chemical engineers rely on models for design,research,and daily decision-making,often with potentially large financial and safety implications.Previous efforts a few decades ago to combine artificial intelli-gence and chemical engineering for modeling wer
Due to growing concerns regarding climate change and environmental protection,smart power genera-tion has become essential for the economical and safe operation of both conventional thermal power plants and sustainable energy.Traditional first-principle m
The world\'s increasing population requires the process industry to produce food,fuels,chemicals,and consumer products in a more efficient and sustainable way.Functional process materials lie at the heart of this challenge.Traditionally,new advanced mat
This paper synchronizes control theory with computer vision by formalizing object tracking as a sequen-tial decision-making process.A reinforcement learning(RL)agent successfully tracks an interface between two liquids,which is often a critical variable t