Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the inte-gration of digital components with the actual physical units involved.This process can be thought of as addition of a central nervous system with a sensing and control monitoring of components and regulating the performance of the individual physical assets(processes,units,etc.)involved.Established.technologies central to the digital integrating components are smart sensing,mobile commu-nication,Internet of Things,modelling and simulation,advanced data processing,storage and analysis,advanced process control,artificial intelligence and machine learning,cloud computing,and virtual and augmented reality.An essential element to this transformation is the exploitation of large amounts of historical process data and large volumes of data generated in real-time by smart sensors widely used in industry.Exploitation of the information contained in these data requires the use of advanced machine learning and artificial intelligence technologies integrated with more traditional modelling techniques.The purpose of this paper is twofold:a)to present the state-of-the-art of the aforementioned technologies,and b)to present a strategic plan for their integration toward the goal of an autonomous smart plant capable of self-adaption and self-regulation for short-and long-term production management.

Bogdan DORNEANU;Sushen ZHANG;Hang RUAN;Mohamed HESHMAT;Ruijuan CHEN;Vassilios S.VASSILIADIS;Harvey ARELLANO-GARCIA

LS-Prozess und Anlagentechnik,Brandenburgische Technische Uni-versit?t Cottbus-Senftenberg,03044 Cottbus,Germany;Department of Chemical Engineering and Biotechnology,University of Cambridge,Cambridge,CB2 1TN,United Kingdom;School of Mathematics, University of Edinburgh, Edinburgh, EH9 3FD,United Kingdom;Department of Architecture and Building Environment,University of the West of England,Bristol,BS16 1QY,United Kingdom;School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China;Cambridge Simulation Solutions LTD.,Larnaca 7550,Cyprus

工程管理前沿（英文版）

[1]Bogdan DORNEANU;Sushen ZHANG;Hang RUAN;Mohamed HESHMAT;Ruijuan CHEN;Vassilios S.VASSILIADIS;Harvey ARELLANO-GARCIA-.Big data and machine learning:A roadmap towards smart plants)[J].工程管理前沿（英文版）,2022(04):623-639

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