AI in Green Manufacturing
Dr. C. Sowmya Dhanalakshmi
Professor and HOD - ACADEMICS, Department of Mechanical Engineering, at SNS College of Technology, Coimbatore
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Fire, explosion, toxic release, and environmental destruction are examples of industrial dangers that affect the community and society as a whole. Green Manufacturing (GM) places a premium on efficiency and safety, reflecting the need for more stringent procedures and improved accident prevention. The primary purpose of GM can be met by focusing on reducing energy consumption, monitoring process safety, risk management, and monitoring and evaluating environmental impact.
Industrial risks appear to be more common in the process industry in recent years of technological improvement, and significant hazard prevention has become a more popular profession. With rapid technological advancements brought about by the Industry 4.0 revolution, the danger of industrial hazards is to be decreased by alarm systems or warnings during or before risks, allowing appropriate steps to be taken to limit the loss of lives and injuries caused by hazards. Artificial Intelligence (AI) and Machine Learning (ML) approaches are already having a significant impact on society and can play a significant role in hazard prevention.