Expert systems as a tool to manage accident risks in grain storage facilities

Expert systems as a tool to manage accident risks in grain storage facilities

Authors

DOI:

https://doi.org/10.5433/1679-0375.2020v41n1p87

Keywords:

Fuzzy logic. NR. Occupational safety.

Abstract

Caring for workers’ welfare and health is an Engineering basic principle, which comprises scientific studies and aims to achieve a positive result in the end of the processes. Using Grain Processing and Storage Units is advantageous since they permit storing products for long periods. On the other hand, these places offer risks to workers. Currently there are a great number of researches which use expert systems in order to assist decision-makings. Fuzzy Logic is one of the most used, since it presents easy handling and results interpretation. Thus, this study aimed to use Fuzzy Logic in the Occupational Safety Engineering in order to elaborate a mathematical model which represents the accident risk levels in Grain Processing and Storage Units and that could be used as a tool to assist decision-makings. The possibility of accidents; exposure to risk; and workers’ experience were considered the input variable. The simulation answer was the risk of occurring occupational accident. In conclusion, it was possible to say that Fuzzy Logic was so efficient as an Engineering tool to represent accident risks. Regulation Norms’ (NR) accomplishment and “Workers’ Experience” can impact on the “Risk of Accident” in Grain Processing and Storage Units.

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Author Biographies

Rodrigo Couto Santos, Universidade Federal Grande Dourados - UFGD

PhD in Agricultural Engineering from the State University of Campinas. Professor at the Universidade Federal Grande Dourados - UFGD

Juliano Lovatto, Universidade Federal Grande Dourados - UFGD

Master in Agricultural Engineering from the Federal University of Grande Dourados. He is currently a civil engineer at the Federal Universidade Federal Grande Dourados - UFGD

Arthur Carniato Sanches, Universidade Federal Grande Dourados - UFGD

PhD in Agricultural Systems Engineering from the University of São Paulo. Professor at the Universidade Federal Grande Dourados - UFGD

Eder Pereira Gomes, Universidade Federal Grande Dourados - UFGD

PhD in Water and Soil from the State University of Campinas. Professor at the FUniversidade Federal Grande Dourados - UFGD

Cristiano Márcio Alves de Souza, Universidade Federal Grande Dourados - UFGD

PhD in Agricultural Engineering from the Federal University of Viçosa. Professor at the Universidade Federal Grande Dourados - UFGD

References

ABEDINI, M.; MAHMODI, E.; MOUSAVI, M.; CHAHARMAHALI, I. A novel Fuzzy PI controller for improving autonomous network by considering uncertainty. Sustainable Energy, Grids and Networks, Piscataway, v. 18, p.1-11, 2019. DOI: https://doi.org/10.1016/j.segan.2019.100200.

AGHAEIPOOR, A.; JAVIDI, M. M. On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems. Applied Soft Computing, [New York], v. 79, p. 283-299, 2019. DOI: https://doi.org/10.1016/j.asoc.2019.03.047.

ARUN, N. K.; MOHAN, B. M. Modeling, stability analysis, and computational aspects of some simplest nonlinear fuzzy two-term controllers derived via center of area/gravity defuzzification. ISA Transactions, Pittsburgh, v. 70, p. 16-29, 2017. DOI: https://doi.org/10.1016/j.isatra.2017.04.023.

BARSANO, P. R.; BARBOSA, R. P. Segurança do trabalho: guia prático e didático. São José dos Campos: Editora Érica, 2013. 349 p.

BONATTO, C.; WITT, F. D.; BASTIAN, M. L.; DUTRA, C. C. Implantação da comissão interna de prevenção de acidentes em uma empresa do ramo industrial localizada em Caxias do Sul. Revista Global Manager Acadêmica, São Pelegrino, Caxias do Sul, v. 6, n. 2, p. 550–565, 2017.

BRASIL. Ministério da Agricultura, Pecuária e Abastecimento. Plano agrícola e pecuário 2018/2019. Brasília: MAPA, 2019. Available in: <http://www.agricultura.gov.br/assuntos/politica-agricola/plano-agricola-e-pecuario/arquivos-pap/copy_of_PlanoAgricolaePecurio20182019.pdf>. Access in: May 2019.

BUCKLIN, R.; THOMPSON, S.; MONTROSS, M.; HADI, A. A. Grain storage systems design. In: KUTZ, M. (ed.). Handbook of farm, dairy and food machinery engineering. 3. ed. [New York]: Academic Press, 2019. p. 175-223. DOI: https://doi.org/10.1016/B978-0-12-814803-7.00009-9.

COSTELLA, M. F.; PILZ, S. E.; BET, A. Dust sample collection and analysis method for assessing the risks of explosions of dust in suspension in grain receiving and storing units. Gestão & Produção, São Carlos, v. 3, n. 23, p. 503-514, 2016. DOI: http://dx.doi.org/10.1590/0104- 530x1324-15.

ENIT – ESCOLA NACIONAL DA INSPEÇÃO DO TRABALHO. Normas Regulamentadoras – Português. Brasília: Enit, 2019. Available in: https://enit.trabalho.gov.br/portal/index.php/segurancae-saude-no-trabalho/sst-menu/sst-normatizacao/sst-nrportugues?view=default. Acess in: May 2019.

GALLAB, M.; BOULOIZ, H.; ALAOUI, Y. L.; TKIOUAT, M. Risk Assessment of maintenance activities using Fuzzy Logic. Procedia Computer Science, [Amsterdam], v. 148, p. 226-235, 2019. DOI: https://doi.org/10.1016/j.procs.2019.01.065.

GASQUES, A. C. F.; SANTOS, J. D.; CASTRO, T. R.; FERREIRA, T. S. Análise do ruído ocupacional: estudo de caso em uma casa de máquinas de uma unidade armazenadora de cereais. Revista Produção Industrial e Serviços, Maringá, v. 5, n. 2, p. 13-24, 2018.

HILLETOFTH, P.; SEQUEIRA, M.; ADLEMO, A. Three novel fuzzy logic concepts applied to reshoring decision-making. Expert Systems with Applications, Elmsford, v. 126, p. 133-143, 2019. DOI: https://doi.org/10.1016/j.eswa.2019.02.018.

HULME, A.; STANTON, N. A.; WALKER, G. H.; WATERSON, P.; SALMON, P. M. What do applications of systems thinking accident analysis methods tell us about accident causation? a systematic review of applications between 1990 and 2018. Safety Science, Amsterdam, v. 117, p. 164-183, 2019. DOI: https://doi.org/10.1016/j.ssci.2019.04.016.

KABIR, S.; PAPADOPOULOS, Y. A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, [New York], v. 100, p. 29-55, 2018. DOI: https://doi.org/10.1016/j.ijar.2018.05.005.

KARLTUN, A.; KARLTUN, J.; BERGLUND, M.; EKLUND, J. HTO – a complementary ergonomics approach. Applied Ergonomics, London, v. 59, pt. A, p. 182-190, 2017. DOI: https://doi.org/10.1016/j.apergo.2016.08.024.

KAWAI, T.; SAKURAI, H.; IKEDA, M. Simplified procedures for estimation of biological occupational exposure limits. Journal of occupational health, Northbrook, v. 61, n. 4, p. 305–310, 2019. DOI: https://doi.org/10.1002/1348-9585.12049.

LAAL, F.; POUYAKIAN, M.; JAFARI, M. J.; NOURAI, F.; HOSSEINI, A. A.; KHANTEYMOORI, A. Technical, human, and organizational factors affecting failures of firefighting systems (FSs) of atmospheric storage tanks: providing a risk assessment approach using Fuzzy Bayesian Network (FBN) and content validity indicators. Journal of Loss Prevention in the Process Industries, [Guildford], v. 65, p. 104157, 2020. DOI: https://doi.org/10.1016/j.jlp.2020.104157.

MATHWORKS.MATLAB R2015aR 03 Apple Hill Drive Natick, MA 01760-2098. 2015.

MOTA, F. S. T. Identificação dos riscos na atividade de beneficiamento de grãos: um estudo de caso. 2015. Monografia (Especialização em Engenharia de Segurança do Trabalho) - Universidade Tecnológica Federal do Paraná, Curitiba, 2015.

NEITZEL, G.; GADOTTI, G. I. Aplicação do sistema de análises de perigos e pontos críticos de controle em secagem, armazenagem e beneficiamento de arroz: estudo de caso de uma unidade de beneficiamento. Revista Brasileira de Engenharia e Sustentabilidade, Pelotas, v. 4, p. 1-13, 2017. DOI: http://dx.doi.org/10.15210/rbes.v4i1.8978.

OAH, S.; NA, R.; MOON, K. The influence of safety climate, safety leadership, workload, and accident experiences on risk Perception: a study of Korean manufacturing workers. Safety and health at work, v. 9, n. 4, p. 427-433, 2018.

OLIVEIRA, A. L. Condições de segurança do trabalho em unidades de beneficiamento de sementes de soja. 2013. Dissertação (Mestrado em Ciência e Tecnologia de Sementes) - Faculdade de Agronomia Eliseu Maciel, Pelotas, 2013.

OLIVEIRA, H. L.; AMENDOLA, M.; NÄÄS, I. A. Estimativa das condições de conforto térmico para avicultura de postura usando a teoria dos conjuntos Fuzzy. Revista Engenharia Agrícola, Jaboticabal, v. 25, n. 2, p.300-307. 2005.

ROSTAMABADI, A.; JAHANGIRI, M.; ZAREI, E.; KAMALINIA, M.; ALIMOHAMMADLOU, M. A novel Fuzzy Bayesian Network approach for safety analysis of process systems: an application of HFACS and SHIPP methodology. Journal of Cleaner Production, Oxford, v. 244, p. 118761, 2020. DOI: https://doi.org/10.1016/j.jclepro.2019.118761.

SCHOENINGER, V.; SIQUEIRA, V. C.; NETO, A. N.; LEITE, R. A.; PINTO, V. D.; FERRAZ, L. R.; PAGNONCELLI, L. C. Saúde e segurança no trabalho em unidades armazenadoras de grãos no estado do Mato Grosso do Sul. Realização, Dourados, v. 6, n. 12, p. 5-15, 2019.

RANGEL JUNIOR, E. As normas técnicas brasileiras esclarecem ou confundem? Lumière Electric, São Paulo, n. 157, p. 50-54, maio 2011.

VIANA, K. D.; MATTOS, V. L. D. Mensuração da satisfação por meio da adaptação de um modelo hierárquico baseado na lógica fuzzy. Revista Brasileira de Computação Aplicada, Passo Fundo, v. 9, n. 1, p. 52-62, 2017. DOI: https://doi.org/10.5335/rbca.v9i1.6694.

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Published

2020-06-20

How to Cite

Santos, R. C., Lovatto, J., Sanches, A. C., Gomes, E. P., & Alves de Souza, C. M. (2020). Expert systems as a tool to manage accident risks in grain storage facilities. Semina: Ciências Exatas E Tecnológicas, 41(1), 87–94. https://doi.org/10.5433/1679-0375.2020v41n1p87

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