Abstract
The manufacturing industry is one of the most dangerous in terms of work safety. Among different kinds of accidents in industrial environments, the biggest causes involving humans are related to machines and equipment used for manufacturing. Although there are standards and regulations for machines’ safe operation, some specific criteria could only be identified by specialists and managers in Environment, Health, and Safety (EHS). The internet of things (IoT) is a fundamental technology for Industry 4.0, bringing many benefits for automation and process control. Despite the increasing automation leading to a decrease in manual work, there is still a considerable presence of employees subject to accident risks. This work proposes the use of physical variables collected on machines in a production line to create a safety risk indicator. Considering that these variables are available in IoT-based monitoring systems, a method of analyzing accident risks based on multi-variable graphs obtained from the normalization of the monitored variables is proposed. This risk display method is believed to assist in safety analyzes by operators and specialists in a Safety Management System (SMS).
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Teixeira, I.T.T., Behrens, F.H. (2021). IoT- Based Indicator for Industrial Accident Risks. In: Iano, Y., Saotome, O., Kemper, G., Mendes de Seixas, A.C., Gomes de Oliveira, G. (eds) Proceedings of the 6th Brazilian Technology Symposium (BTSym’20). BTSym 2020. Smart Innovation, Systems and Technologies, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-030-75680-2_18
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