Desenvolvimento de política de manutenção baseada nos conceitos da indústria 4.0: Smart system aplicado para uma caldeira de uma indústria papeleira
Adequate industrial maintenance is capable of increasing the safety, availability, quality and lifetime of the equipment, avoiding failures and losses. Industry 4.0 brings with it a digitalization of information and automation of execution processes, being able to unite data that are in different ba...
| Autor principal: | Soares, Gustavo Albano |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/29432 |
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| Resumo: |
Adequate industrial maintenance is capable of increasing the safety, availability, quality and lifetime of the equipment, avoiding failures and losses. Industry 4.0 brings with it a digitalization of information and automation of execution processes, being able to unite data that are in different bases and with automation of an increase in reliability, mitigating the occurrence of human error. The boiler in the case study does not have a maintenance policy and its availability directly affects the company's productivity. That said, this work aims to apply Industry 4.0 technologies to structure an efficient maintenance plan supported by a system (Smart system) developed for a boiler used in a paper company. We obtained a RAM analysis from 97.4% and a maintenance history of 97.85% and a maintenance history of 99.75% and a confidence maintenance of 99.75% 25 hours. Subsequently, the failure history and the FMEA were used as a basis for the construction of the maintenance plan, using a reference time for the execution of activities of 90% of the original time between failures (TBF) and indicating activities to eliminate or reduce the occurrence. of preventive failures. After that, the maintenance plan to supply a database in structured query language (SQL) and use the Python language to automate the query to this database. With this construction, the database digitizes information on failure history, maintenance plan and FMEA. In addition, the consultation process gains agility, adding reliability to the actions. |
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