Safety Management with Application of Internet of Things, Artificial Intelligence, and Machine Learning for Industry 4.0 Environment
Sandeep Chhillar, Pankaj Kumar Sharma, Ranbir Singh · 2023
Industry 4.0 (I4.0) is a collaboration of a group of technologies like IOT, machine learning, cloud computing and cyber physical system, artificial intelligence, cognitive computing, design integration, and sustainability under one roof for automation and information transfer in the industry. Today&s;s complex functionality of industrial systems impacts health and safety of human beings working in different types of industrial environment. Safety and health should be given utmost importance in the initial stage of I4.0. Health and safety measures should be accessed on a priority basis. Over 100 industrial accidents in India and abroad were reported in the news in the last six months. Styrene vapor leakage at LG Polymers Visakhapatnam; ammonia gas leakage at a dairy unit in Bandapalli, Andhra Pradesh; a crane collapse at Hindustan Shipyard Ltd in Visakhapatnam; explosion and fire in an oil well at Oil India Ltd (OIL) in Tinsukia, Assam; a gas leak at Sainor Life Sciences Pvt Ltd., Visakhapatnam; a blast in a coal mine at Singareni Collieries Company Ltd in Peddapalli, Telangana; and several others were reported in India. A massive explosion of 27,000 tons at an ammonium nitrate warehouse took place at Lebanon&s;s capital, Beirut. A huge loss of life and capital is observed in all [1] industrial accidents. Can we afford such explosions or accidents? The reply should be no. We need to upgrade the health and safety measures and norms with I4.0 technologies to avoid such situations. The focus of the present research article is to evaluate the major issues regarding health and safety integration with I4.0 revolution. The safety norms need to be revisited and the safety management system should be reframed in compliance with I4.0 standards, as the danger will multiply and the impact is negative on safety and health. Although changes from previous research are implemented in the fields of workplace safety and health, the system of safety in I4.0 will be at risk. A smooth transition of Industry 4.0 is necessary to avoid a collision of safety and technical progress. This article presents a safety management methodology with application of Internet of Things, artificial intelligence, and machine learning for the I4.0 environment.