A simulation toolset for modeling grain storage facilities

2012 ◽  
Vol 48 ◽  
pp. 30-36 ◽  
Author(s):  
Luís C. Silva ◽  
Daniel M. Queiroz ◽  
Rolando A. Flores ◽  
Evandro C. Melo
2021 ◽  
Vol 334 ◽  
pp. 02025
Author(s):  
Konstantin Esin ◽  
Andrei Bodrov ◽  
Denis Lomakin ◽  
Maxim Kulev ◽  
Andrew Kulev

The paper deals with the mathematical model of the rational distribution of vehicles, which allows attaching them to a group of combine harvesters during harvesting, depending on the carrying capacity of vehicles, the productivity of combine harvesters and the capacity of grain storage facilities. In addition, it presents a formula which allows determining the required number of vehicles that will deliver grain from a group of combine harvesters. Further the article presents calculations of routes of vehicles movement and determination of the required number of vehicles de-pending on the carrying capacity of one of the operating agricultural organizations.


2018 ◽  
Vol 24 (3) ◽  
pp. 127-139 ◽  
Author(s):  
Yang Geng ◽  
S. Dee Jepsen

Abstract. Hazards associated with grain storage facilities are a contributing factor to agricultural injuries and are a perpetual problem for Ohio farmers, especially as on-farm grain storage facilities continue to grow in popularity with producers. To establish effective injury prevention programs, safety professionals must first understand how the industry operates, the culture of the workers, and the current practices used to avoid injuries. This research project was designed to bridge the gap between what is currently known about the hazards that exist on Ohio’s farms, specifically how safety and health information is incorporated at the grain handling and storage facilities. Using a four-part survey, 182 cash grain operators, comprising a convenience sample of farmers attending educational events, were surveyed to determine the type of grain storage and handling facilities used on their farms, the occurrence of out-of-condition grain, and the health and safety factors practiced at these facilities, including their knowledge about potential hazards. Results indicated that the farmers preferred to get safety knowledge from a course or seminar (53.6%) or by reading a magazine or periodical (38.8%). The surveyed farmers indicated that they had higher knowledge of the safety risks of out-of-condition grain than of the health effects from exposure to out-of-condition grain (p < 0.01). They identified personal protective equipment (PPE) as their primary measure to prevent injuries, with the top PPE items being respirators, safety glasses, hearing protection, and gloves. Farmers who encountered out-of-condition grain reported more employees on their farms compared to the other farmers in the sample and reported higher use of PPE. While these results cannot be generalized to Ohio’s entire population of cash grain farmers, they provide a good understanding of the on-farm grain storage and management practices, which will allow a more targeted intervention plan, both in better engineering controls and in future outreach programs. Keywords: Grain storage, PPE use, Health, Safety.


2020 ◽  
Vol 41 (1) ◽  
pp. 87
Author(s):  
Rodrigo Couto Santos ◽  
Juliano Lovatto ◽  
Arthur Carniato Sanches ◽  
Eder Pereira Gomes ◽  
Cristiano Márcio Alves de Souza

Cuidar do bem-estar e da saúde dos trabalhadores é um princípio básico de engenharia, que compreende estudos científicos e visa alcançar um resultado positivo no final dos processos. O uso de unidades de processamento e armazenamento de grãos é vantajoso, pois permite o armazenamento de produtos por longos períodos. Por outro lado, esses locais oferecem riscos aos trabalhadores. Atualmente, existe um grande número de pesquisas que utilizam sistemas especializados para auxiliar na tomada de decisões. A Lógica Fuzzy é uma das mais utilizadas, pois apresenta fácil manuseio e interpretação dos resultados. Assim, este estudo teve como objetivo utilizar a Lógica Fuzzy na Engenharia de Segurança do Trabalho, a fim de elaborar um modelo matemático que represente os níveis de risco de acidentes nas Unidades de Processamento e Armazenamento de Grãos e que possa ser utilizado como ferramenta para auxiliar na tomada de decisões. A possibilidade de acidentes; exposição ao risco; e a experiência dos trabalhadores foram consideradas variáveis de entrada. A resposta da simulação foi o risco de ocorrência de acidente ocupacional. Como conclusão, foi possível verificar que a Lógica Fuzzy foi tão eficiente quanto uma ferramenta de engenharia para representar riscos de acidentes. O cumprimento das Normas de Regulamentação (NR) e a "Experiência dos Trabalhadores"podem impactar o "Risco de acidente"nas unidades de processamento e armazenamento de grãos.


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