EST - Artigos de Periódicos
URI permanente para esta coleçãohttps://ri.uea.edu.br/handle/riuea/4779
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Item As tecnologias 4.0 como alternativas de prevenção de acidentes com embarcações na Região Amazônica(Universidade do Estado do Amazonas, 2023-10-13) Aziz, Giovanna Mabily Pinto Abdel; Fontes, Jassiel Vladimir Hernández; Hechavarria Perez, Jose Ramon; Maia, Harlysson Wheiny Silva; Hernández, Irving DavidThe use of vessels in the Amazon region plays an important role in the commercial activities of the northern region of Brazil; however, it faces several risks of accidents that can result in loss of lifes, properties, and environmental damage. Industry 4.0 technologies can be alternatives to prevent accidents in various activities in the region that involve the use of vessels. However, Industry 4.0 technologies are recent and despite the growing attention on applications of these technologies in several engineering areas, there is still a lack of information related to the alternatives of application in the regional naval industry. The present work aims to know alternatives of Industry 4.0 that could be used to reduce accidents with the use of vessels in the Amazon region. First, some of the most common accidents that can happen to vessels in the region were presented. Therefore, the concepts of 4.0 technologies most used in maritime applications were reviewed and documented: cyber-physical systems, augmented reality and simulation, big data analytics, cloud computing and internet of things. Finally, the possibilities of applying 4.0 technologies to prevent accidents in the Amazon region were discussed, identifying possible limitations. It was found in the literature review that collisions are the most common accidents with vessels, and automatic identification systems are the most used technology for their control. In contrast, it was seen that the applications of cloud computing, IoT and bigdata analysis in accident prevention in the shipping industry still need to be explored. It is hoped that the present work can contribute to the prevention of accidents in the future of the Amazon region.