Abstract
This work aims to develop an embedded system and mobile application within Internet of Things (IoT) context, which allow the evaluation of control techniques widely used in the industry, for both remote configuration and monitoring of environment inside storage silos in laboratory scale. The developed system contributes to the validation of the recent released KNoT meta platform and extends its application to agricultural area. Preliminary results for on-off and PID temperature control suggest its feasibility for remote transmission of setpoint data to local controllers and data acquisition for monitoring by a mobile application.
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Oliveira, J., Boaventura-Cunha, J., Oliveira, P.M.: Robust control of agroindustrial drying process of grains based on sliding modes and gravitational search algorithm. In: Garrido, P., Soares, F., Moreira, A.P. (eds.) CONTROLO 2016. LNEE, vol. 402, pp. 629–639. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-43671-5_53
Alcácer, V., Cruz-machado, V.: Scanning the industry 4.0: a literature review on technologies for manufacturing systems. Eng. Sci. Technol. 22(3), 899–919 (2019)
Visala, A., Oksanen, T., Oliveira, J.: Smooth adaptive robust temperature control of a seed drying system. Agricontrol 1, 6–11 (2013)
Pereira Jr., M.: Application of supervisory fuzzy controller on a dryer in fertilizer industry. 82 f. Master thesis, Federal University of Ouro Preto (2018). (in Portuguese)
Dornelas, E., Oliveira, S.C.: Monitoring home water consumption using an IOT meta platform. Revista de Engenharia e Pesquisa Aplicada 2(2) (2017). (in Portuguese)
KNOT. KNoT Network of things. CESAR, 2015. Source: https://www.knot.cesar.org.br/. 25 Apr 2019
Quaresma, J.G., Oliveira, J.: Machine-Human interface for control and instrumentation of grain storage silos within IoT context. Federal University of Rio Grande do Norte, Analysis and Systems Development (2018). (in Portuguese)
de Souza, D.A.M.: On gaps of KNoT IoT. Federal University of Pernambuco, Computer Center (2017). (in Portuguese)
Ribeiro, R.H.P.: KNoTPy: a library to device acquisition data connected to KNoT. Federal University of Pernambuco, Computer Center (2018). (in Portuguese)
Batista, C. P., Silva, P. V., Batista, T., Cavalcante, E.: Integrating platforms FIREWARE and KNoT for development of IoT applications. X SBCUP, pp. 1–6 (2018)
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Quaresma de Almeida, J.G., Oliveira, J., Boaventura-Cunha, J. (2019). On KNoT Meta-Platform for IoT-Based Control of Storage Grains. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_16
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DOI: https://doi.org/10.1007/978-3-030-30241-2_16
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