Intelligent manufacturing is the pivotal for the digital transformation of traditional manufacturing and the Fourth Industrial Revolution.At its heart is the deep integration of advanced manufacturing technologies with cutting-edge information technologies to enable autonomous sensing,decision-making,execution,adaptation,and learning.Yet,the industry often grapples with distinguishing between automation and intelligence.Many institutions and enterprises often consider industrial robots,PLCs(Programmable Logic Controllers),and upper-level MES(Manufacturing Execution Systems)as intelligent manufacturing when these technologies enhance machine productivity under human-dominated supervision,management,and programming conditions.However,this is essentially a form of"human-centric"automation based on"human thought replication,"rather than"machine-centric"intelligence.There is a significant and revolutionary difference between the two.To elucidate this distinction,this paper reviews the history of computing,proposes a development approach for an edge computing"meta operating system"based on the concept of algorithm-network convergence,and offers insights to pave the way for new directions in the intelligent manufacturing industry.
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