Work Safety
Fuzzy Inference Model Specification for Evaluation of Heat Agent
DOI:
https://doi.org/10.31686/ijier.vol9.iss9.3321Keywords:
fuzzy, heat, metabolic rate, legislation, salubrious, insalubriousAbstract
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.
References
TST, “Jornada de Trabalho: conheça as particularidades,” 2020. http://www.oitbrasil.org.br/sites/default/files/topic/employment/doc/jornada_brasil_70.pdf.
G. Zheng, N. Zhu, Z. Tian, Y. Chen, and B. Sun, “Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments,” Saf. Sci., vol. 50, no. 2, pp. 228–239, 2012, doi: 10.1016/j.ssci.2011.08.042. DOI: https://doi.org/10.1016/j.ssci.2011.08.042
J. Nichioka, “Avaliação de segurança em empresas da construção civil : uma aplicação da lógica Fuzzy,” pp. 33–56, 2019. DOI: https://doi.org/10.12660/rgplp.v18n1.2019.78890
G. E. Gürcanli and U. Müngen, “An occupational safety risk analysis method at construction sites using fuzzy sets,” Int. J. Ind. Ergon., vol. 39, no. 2, pp. 371–387, 2009, doi: 10.1016/j.ergon.2008.10.006. DOI: https://doi.org/10.1016/j.ergon.2008.10.006
BRAZIL, Labor Laws (Consolidação das Leis de Trabalho). Brasília, Brazil, 2018.
FUNDACENTRO, “Norma de Higiene Ocupacional 06: Avaliação da Exposição ao Calor - Procedimento Técnico,” São Paulo, 2017.
BRAZIL, Normas Regulamentadora 15. BRAZIL.
G. M. de Araujo, Perícia e Avaliação de Ruído e Calor - Teoria e Prática. Rio de Janeiro: GVC, 2002.
L. Paula, Ricardo Guimarães De; Ayres da Silva and A. Ayres da Silva, “Characterization of the unhealthy and hazardous situations under the forensic expert survey and safety management in quarries,” REM - Int. Eng. J., vol. 69, no. 3, pp. 361–366, 2016, doi: 10.1590/0370-44672015690011. DOI: https://doi.org/10.1590/0370-44672015690011
L. M. da Silva, “Modelagem Fuzzy Como Subsídios Para a Espacialização Da Vulnerabilidade Costeira À Erosão,” Universidade Federal de Pernambuco, 2013.
D. M. Barbosa Salvador de Souza, “Abordagem Baseada em Lógica Fuzzy para Alocação de Indicadores de Faltas em Sistemas de Distribuição de Energia Elétrica,” Universidade de São Paulo, 2009.
C. P. de Sousa, Fuzzy no Excel, 1°. Universidade Federal do Ceará, 2016.
L. C. M. OLIMPIO, “MODELO FUZZY PARA ANÁLISE DE RISCOS EM PROJETOS DE EDIFICAÇÕES,” Universidade Federal do Ceará, 2017.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Alex Sander Zau Vieira , Manoel Henrique Reis Nascimento , Daniel Sousa da Silva
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Copyrights for articles published in IJIER journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author for more visit Copyright & License.
How to Cite
Accepted 2021-08-01
Published 2021-09-01
Most read articles by the same author(s)
- Juliana Câmara de Souza, Manoel Henrique Reis Nascimento, Develop a fuzzy inference model to measure the quality of project management processes in a third sector institution , International Journal for Innovation Education and Research: Vol. 9 No. 10 (2021): International Journal for Innovation Education and Research
- Fábio Castro Jamel, Manoel Henrique Reis Nascimento, The Methodology for Photovoltaic Plant Modeling with RETScreen Software application , International Journal for Innovation Education and Research: Vol. 10 No. 11 (2022): International Journal for Innovation Education and Research
- Kleber de Lima Pontes, Manoel Henrique Reis Nascimento, The Analysis of the degree of risk of R&DI projects using fuzzy logic to identify technical feasibility , International Journal for Innovation Education and Research: Vol. 10 No. 8 (2022): International Journal for Innovation Education and Research
- Ivair Rafael Costa do Santos, Manoel Henrique Reis Nascimento, David Barbosa de Alencar, Manoel S. Santos Azevedo, Antonio Estanislau Sanches, Fuzzy modeling to define corrosivity potential in oil pipelines , International Journal for Innovation Education and Research: Vol. 11 No. 1 (2023): International Journal for Innovation Education and Research