Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model

Detalhes bibliográficos
Autor(a) principal: Lemos, Janaína
Data de Publicação: 2022
Outros Autores: Gaspar, Pedro Dinis, Lima, Tânia M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/14166
Resumo: This paper addresses the design of a system to facilitate individual environmental risk assessment and long-term risk management in the Industry 4.0 work context. The solution is based on IoT to provide data related to workers’ exposure to hazardous agents (dust, noise, ultraviolet radiation, poor lighting, and inappropriate temperature and humidity) through a simple interface for employees and employers. The system includes a monitoring device and a server and performs employee registration, receives secure messages from the monitoring devices, shows information about the workers’ exposure, and triggers alarms when the measures reach or exceed the limits established by applicable legislation and/or standards. The system was tested in a controlled environment, and the results are presented in this work. Our solution is still under development, and in future stages, it will include a smartphone app for employees to check their exposures and the use of artificial intelligence on the server, which is expected to enable long-term planning by companies based on the analysis of employees’ health history and their exposures to hazardous agents.
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spelling Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based ModelOSHSmart PPERisk assessmentIndustry 4.0IoTArtificial intelligenceThis paper addresses the design of a system to facilitate individual environmental risk assessment and long-term risk management in the Industry 4.0 work context. The solution is based on IoT to provide data related to workers’ exposure to hazardous agents (dust, noise, ultraviolet radiation, poor lighting, and inappropriate temperature and humidity) through a simple interface for employees and employers. The system includes a monitoring device and a server and performs employee registration, receives secure messages from the monitoring devices, shows information about the workers’ exposure, and triggers alarms when the measures reach or exceed the limits established by applicable legislation and/or standards. The system was tested in a controlled environment, and the results are presented in this work. Our solution is still under development, and in future stages, it will include a smartphone app for employees to check their exposures and the use of artificial intelligence on the server, which is expected to enable long-term planning by companies based on the analysis of employees’ health history and their exposures to hazardous agents.MDPIuBibliorumLemos, JanaínaGaspar, Pedro DinisLima, Tânia M.2024-01-26T11:14:42Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/14166eng: Lemos, J.; Gaspar, P.D.; Lima, T.M. Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model. Appl. Syst. Innov. 2022, 5, 88. https:// doi.org/10.3390/asi505008810.3390/asi5050088info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-31T02:32:15Zoai:ubibliorum.ubi.pt:10400.6/14166Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:59:18.159732Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
title Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
spellingShingle Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
Lemos, Janaína
OSH
Smart PPE
Risk assessment
Industry 4.0
IoT
Artificial intelligence
title_short Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
title_full Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
title_fullStr Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
title_full_unstemmed Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
title_sort Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model
author Lemos, Janaína
author_facet Lemos, Janaína
Gaspar, Pedro Dinis
Lima, Tânia M.
author_role author
author2 Gaspar, Pedro Dinis
Lima, Tânia M.
author2_role author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Lemos, Janaína
Gaspar, Pedro Dinis
Lima, Tânia M.
dc.subject.por.fl_str_mv OSH
Smart PPE
Risk assessment
Industry 4.0
IoT
Artificial intelligence
topic OSH
Smart PPE
Risk assessment
Industry 4.0
IoT
Artificial intelligence
description This paper addresses the design of a system to facilitate individual environmental risk assessment and long-term risk management in the Industry 4.0 work context. The solution is based on IoT to provide data related to workers’ exposure to hazardous agents (dust, noise, ultraviolet radiation, poor lighting, and inappropriate temperature and humidity) through a simple interface for employees and employers. The system includes a monitoring device and a server and performs employee registration, receives secure messages from the monitoring devices, shows information about the workers’ exposure, and triggers alarms when the measures reach or exceed the limits established by applicable legislation and/or standards. The system was tested in a controlled environment, and the results are presented in this work. Our solution is still under development, and in future stages, it will include a smartphone app for employees to check their exposures and the use of artificial intelligence on the server, which is expected to enable long-term planning by companies based on the analysis of employees’ health history and their exposures to hazardous agents.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2024-01-26T11:14:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/14166
url http://hdl.handle.net/10400.6/14166
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv : Lemos, J.; Gaspar, P.D.; Lima, T.M. Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model. Appl. Syst. Innov. 2022, 5, 88. https:// doi.org/10.3390/asi5050088
10.3390/asi5050088
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv MDPI
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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