Work Safety: Fuzzy Inference Model Specification for Evaluation of Heat Agent

Alex Sander Zau Vieira; Manoel Henrique Reis Nascimento; Daniel Sousa da Silva

doi:10.31686/ijier.vol9.iss9.3321

Authors

Alex Sander Zau Vieira University of the State of Amazonas https://orcid.org/0000-0001-6377-9179
Manoel Henrique Reis Nascimento Institute of Technology and Education Galileo of Amazon https://orcid.org/0000-0003-4688-6751
Daniel Sousa da Silva Universidade Federal de Santa Catarina https://orcid.org/0000-0002-3343-9381

DOI:

https://doi.org/10.31686/ijier.vol9.iss9.3321

Abstract views: 246 /

PDF downloads: 242

Keywords:

fuzzy, heat, metabolic rate, legislation, salubrious, insalubrious

Abstract

This research proposes an inference model fuzzy to analyses hazardous environmental work conditions, specifically insalubrious work conditions relevant for heat risk to support the safety engineers for making decisions. The article presents a study that consists of a fuzzy inference model specification for the evaluation of heat agents. The structure of model fuzzy used are inputs temperature and metabolic rate, while the output is work environment condition that could be salubrious or insalubrious. Through, the inference method Mamdani and rules established according to Brazil legislation about heat, Occupational Hygiene Standard 06, the proposed model can determine the work conditions about the heat. The validation process is done in an industry from the Industrial Pole of Manaus, therefor all the process necessary for preparations to use the proposed model is described to obtain all the variables necessary in the field. As a result, the proposed model got the correct classification of work environment conditions with pertinent results according to current legislation and technical expertise.

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Author Biographies

Manoel Henrique Reis Nascimento , Institute of Technology and Education Galileo of Amazon

Research
Daniel Sousa da Silva, Universidade Federal de Santa Catarina

Research, Dept. of Electric Engineer

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