Artificial Intelligence: Models, Algorithms and Applications

AI in Instrumentation Industry

Author(s): '>Ajay V. Deshmukh *

Pp: 54-65 (12)

DOI: 10.2174/9781681088266121010006

* (Excluding Mailing and Handling)


Artificial intelligence (AI) as the name suggests is a new way of automatically deciding upon the operation and control of real time machines and processes in industry. The advantages of using artificial intelligence in industry are many. First of all the decisions are dynamic and real time without any human intervention. Next, it is not based on any formula which in the past required updating for different process conditions and time. Operational technologies did not deploy complete intelligence systems and there used to be much more complexity in tuning the processes and systems together. Training of the operational people was very much crucial and required periodic updates from time to time as the operational technologies changed. AI can overcome most of these complexities, due to the fact that it obtains a data driven solution in real time. Intelligence could be distributed right from the sensory levels to higher levels of distributed computerized systems. Internet of Things (IoTs) and data analytics can provide dynamic information on the performance of machines and processes. Industries which would benefit from technologies based on Artificial Intelligence (AI), Machine Learning (ML) and Deep learning (DL) are in general any process or manufacturing industries including healthcare, petroleum, power sector, automotive etc. In fact this would lead to applicability of Industry 4.0. In this chapter different concepts and applicability of AI in industry have been described. Off course it is possible due to the powerful computational tools, which help not only in doing computations, but also in terms of the capability of communication control, plus data storage, transmission and intelligent decision making.

Keywords: Artificial Intelligence (AI), Industry 4.0., Industry Applications, Machines and Processes, Manufacturing, Process and Healthcare Industries.

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