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Smart manufacturing [1] ... which is done through data research and intelligent learning automation. ... Industry 4.0 is a project in the high-tech strategy of the ...
The value created in Industry 4.0, can be relied upon electronic identification, in which the smart manufacturing require set technologies to be incorporated in the manufacturing process to thus be classified as in the development path of Industry 4.0 and no longer digitisation. [35]
This association offers a platform for all european operators of research and demonstration facilities for smart manufacturing technologies in order to strengthen their cooperation and information. Zühlkes main research topic has been the transfer of the " Internet of Things " into the future factory environment to create the "Factory of Things".
Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]
The history of the IIoT begins with the invention of the programmable logic controller (PLC) by Richard E. Morley in 1968, which was used by General Motors in their automatic transmission manufacturing division. [17] These PLCs allowed for fine control of individual elements in the manufacturing chain.
Qing (Cindy) Chang is a Chinese–American production engineer whose research combines control theory and machine learning in smart manufacturing.She is a professor of engineering at the University of Virginia, [1] jointly appointed in the Department of Mechanical and Aerospace Engineering and in the Department of Systems and Information Engineering. [2]
This is a valuable data source for Industry 4.0 to continuously improve the product design in the “NDE for Industry 4.0” process. [ 10 ] [ 18 ] Third, immersive training experiences, remote operation, intelligence augmentation, and data automation can enhance the NDE value proposition in terms of inspector safety and human performance in ...
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...