Engenharia de Produção
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/19
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2 resultados
Resultados da Pesquisa
- Innovative laboratory model based on partnerships and active learning(2017-12-12) Rodrigo Maia; Alexandre Augusto Massote; Fabio Lima© 2017 IEEE.The advent of the internet of things and industry 4.0 bring new paradigms that tend to affect the way of organizing several human activities, among them the production processes that are ruled by production and human work on a large scale in the production lines. Therefore, it is inevitable to think of how to prepare students for this new, oncoming reality, since these students will have to deal with a society where usual jobs will no longer be available. This paper presents the initiative of two laboratories developed to prepare students in engineering and computer science to deal with the Internet of Things (IOT) and industry 4.0 (I4.0) subjects. These laboratories were developed in partnership with companies: the first one of Digital Manufacturing (DM) and the second one of IOT, and the integrated work of these laboratories approaches with the students the concepts of I4.0 or advanced manufacturing. The collaborative environment between academia and companies, as well as the joint work of two laboratories, allowed graduate students to develop discussions and works that integrate issues of society and companies with academic studies.
- IoT Energy Retrofit and the Connection of Legacy Machines Inside the Industry 4.0 Concept(2019-10-05) Fabio Lima; Alexandre Augusto Massote; Rodrigo Maia© 2019 IEEE.Industry 4.0 concepts has left the hype behind them to become an industrial reality. Several technological pillars provide support to the so called 4th industrial revolution. Among them are the Digital Twin (based on Cyber-Physical-Systems (CPS)) and the Internet of Things (IoT). Moreover, the interoperability from legacy equipment should be provided to the success of this new factory model. A huge concern is focused on the small and medium enterprises (SME) and their steps toward this new industry. Considering this scenario, this work presents a machine retrofit using an energy measurement industrial sensor, an IoT gateway to provide connectivity to this machine as well as show how the generated data could be sent to the cloud. Once in the cloud the data should feedback the digital energy model in one hand and in another hand be shared with third part partners. In order to manage and build massages in proper communication protocols the Node Red software was used and a mobile application was developed to monitor the energy data in real time.