IoT based industrial safety measures monitoring and reporting system using accident reduction model (ARM) control algorithm

In recent days, the innovation towards a new occupational health and safety group in which work cultures are directed towards active safety values. It is predicted that the safety analysis techniques now in place are quite difficult to address the potential risks which weaken the era. A novel approach to analyzing different crucial criteria in various industrial sectors is explained carefully in this work. In this unique approach, accident reduction model technique is applied to determine the respective weights of three main criteria and seventeen sub-criteria as a way of enriching the decision-making process while in a problem. A survey was initiated in different industrial sectors to obtain reliable data for the research. The results show that the main criteria ‘human safety’ acquired a weight of 72.5% while the respective weights of primary criteria machine security and work environment safety fall to 8.9 and 18.4%. The weight of the main criteria, human safety indicates that the sub-criteria such as eye protection, manual lifting, material handling practices, firefighting drills, training and safety officers are implemented to a greater extent in most of the surveyed industries.