A MAS-based architecture for IIoT safety applications
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Tipo de documento: | Tese |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da UFPE |
| Texto Completo: | https://repositorio.ufpe.br/handle/123456789/47699 |
Resumo: | SADOK, Djamel também é conhecido em citações bibliográficas por: SADOK, Djamel Fawzi Hadj. |
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BARBOSA, Gibson Belarmino Nuneshttp://lattes.cnpq.br/4025223766361322http://lattes.cnpq.br/3776300004312848SADOK, DjamelRIBEIRO, Luis Domingos Ferreira2022-11-18T16:59:29Z2022-11-18T16:59:29Z2022-09-06BARBOSA, Gibson Belarmino Nunes. A MAS-based architecture for IIoT safety applications. 2022. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, 2022.https://repositorio.ufpe.br/handle/123456789/47699SADOK, Djamel também é conhecido em citações bibliográficas por: SADOK, Djamel Fawzi Hadj.The Internet of Things (IoT), and in particular, the concept of an Industrial Internet of Things (IIoT), is one of the key technological pillars of the Fourth Industrial Revolution, also known as Industry 4.0. In this context, an area of considerable interest is safety, whereby multiple intelligent sensors may be permanently connected to a central system to autonomously or semi-autonomously identify safety hazards. Vision systems emerged as popular sensors leveraged in such safety domain as they can simultaneously monitor many different safety concerns. However, the continuous video stream transmission and the increasing number of intelligent devices in IIoT networks introduce additional demand for network resources. There is a risk that the network may fail in the timely handling of video traffic in the case of large scenarios. This work proposes and discusses a reference architecture for the IIoT. It has been based on Multi-Agent Systems and is primarily intended to identify and manage safety risks. The architecture allows the simultaneous insertion of multiple sensors into the system. Input from the different sensors is then dynamically examined and weighed accordingly to estimate the risk level for any given situation. The architecture explores sensor-level intelligence (at the edge layer) to mitigate the network overloading problem. Edge agents quickly assess the risk, deciding whether or not to forward their signals to a local cloud agent for further processing. The cloud agent can then selectively request more information from other distributed edge agents. The architecture is tested in a use case for assessing operators’ safety in the assembly of aircraft components and uses intelligent vision systems as safety monitoring devices. In the selected use case, the accuracy of the system and its impact on the network load are evaluated. The results show that the proposed architecture allows and benefits from the distribution of the processing to the edge. It reduces the load in the network by avoiding the transmission in the absence of risks, without losing accuracy, compared to when using centralized continuous and direct transmissions from the distributed sensors.FACEPECNPqA Internet das Coisas (do inglês Internet of Things - IoT), em particular, o conceito de Internet das Coisas Industrial (do inglês Industrial Internet of Things - IIoT), é um dos principais pilares tecnológicos da Quarta Revolução Industrial, também conhecida como Indústria 4.0. Neste contexto, uma das áreas de interesse é a segurança contra acidentes, onde vários sensores inteligentes podem estar permanentemente ligados a um sistema central para identificar de forma autônoma ou semi-autônoma os riscos para os humanos. Os sistemas de visão são sensores popularmente usados para identificar riscos, pois podem monitorar simultaneamente diferentes situações perigosas. No entanto, a transmissão contínua de fluxo de vídeo e o número crescente de dispositivos inteligentes nas redes introduzem pressão adicional na rede. Isso pode levar a uma sobrecarga nos seus recursos. Para lidar com essa situação, este trabalho propõe e discute uma arquitetura de referência para a IIoT baseada em Sistemas Multiagentes, destinada principalmente a identificar riscos de segurança. A arquitetura permite que vários sensores sejam conectados ao sistema. A entrada dos diferentes sensores é então avaliada dinamicamente à medida que a situação de risco evolui. A arquitetura explora a inteligência a nível de sensor (na borda da rede) para mitigar o problema de sobrecarga da comunicação. Os agentes na borda da rede avaliam rapidamente o risco, decidindo se devem ou não encaminhar seus sinais para um agente de nuvem local para processamento adicional. O agente na nuvem pode então solicitar seletivamente mais informações de outros agentes na borda. A arquitetura é testada em um caso de uso para segurança de operadores na montagem de componentes de aeronaves e utiliza sistema de visão inteligente como dispositivos de percepção. No caso de uso selecionado, a precisão do sistema e seu impacto na carga da rede são avaliados. Os resultados mostram que a arquitetura proposta permite a distribuição do processamento até a borda. Ela reduz a carga na rede evitando a transmissão em situações que o trabalhador está seguro, sem perder a precisão, em comparação com uma transmissão direta centralizada feita por câmeras.engUniversidade Federal de PernambucoPrograma de Pos Graduacao em Ciencia da ComputacaoUFPEBrasilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessRedes de computadoresInternet das coisasA MAS-based architecture for IIoT safety applicationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisdoutoradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPELICENSElicense.txtlicense.txttext/plain; charset=utf-82362https://repositorio.ufpe.br/bitstream/123456789/47699/3/license.txt5e89a1613ddc8510c6576f4b23a78973MD53ORIGINALTESE Gibson Belarmino Nunes Barbosa.pdfTESE Gibson Belarmino Nunes Barbosa.pdfapplication/pdf5232236https://repositorio.ufpe.br/bitstream/123456789/47699/1/TESE%20Gibson%20Belarmino%20Nunes%20Barbosa.pdf91dde72269d7a26fcf817b1b7d0782e4MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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| dc.title.pt_BR.fl_str_mv |
A MAS-based architecture for IIoT safety applications |
| title |
A MAS-based architecture for IIoT safety applications |
| spellingShingle |
A MAS-based architecture for IIoT safety applications BARBOSA, Gibson Belarmino Nunes Redes de computadores Internet das coisas |
| title_short |
A MAS-based architecture for IIoT safety applications |
| title_full |
A MAS-based architecture for IIoT safety applications |
| title_fullStr |
A MAS-based architecture for IIoT safety applications |
| title_full_unstemmed |
A MAS-based architecture for IIoT safety applications |
| title_sort |
A MAS-based architecture for IIoT safety applications |
| author |
BARBOSA, Gibson Belarmino Nunes |
| author_facet |
BARBOSA, Gibson Belarmino Nunes |
| author_role |
author |
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http://lattes.cnpq.br/4025223766361322 |
| dc.contributor.advisorLattes.pt_BR.fl_str_mv |
http://lattes.cnpq.br/3776300004312848 |
| dc.contributor.author.fl_str_mv |
BARBOSA, Gibson Belarmino Nunes |
| dc.contributor.advisor1.fl_str_mv |
SADOK, Djamel |
| dc.contributor.advisor-co1.fl_str_mv |
RIBEIRO, Luis Domingos Ferreira |
| contributor_str_mv |
SADOK, Djamel RIBEIRO, Luis Domingos Ferreira |
| dc.subject.por.fl_str_mv |
Redes de computadores Internet das coisas |
| topic |
Redes de computadores Internet das coisas |
| description |
SADOK, Djamel também é conhecido em citações bibliográficas por: SADOK, Djamel Fawzi Hadj. |
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2022 |
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2022-11-18T16:59:29Z |
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2022-11-18T16:59:29Z |
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2022-09-06 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/doctoralThesis |
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publishedVersion |
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BARBOSA, Gibson Belarmino Nunes. A MAS-based architecture for IIoT safety applications. 2022. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, 2022. |
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https://repositorio.ufpe.br/handle/123456789/47699 |
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BARBOSA, Gibson Belarmino Nunes. A MAS-based architecture for IIoT safety applications. 2022. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, 2022. |
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Universidade Federal de Pernambuco |
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Programa de Pos Graduacao em Ciencia da Computacao |
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UFPE |
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