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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CITATION STYLE
Quaresma de Almeida, J. G., Oliveira, J., & Boaventura-Cunha, J. (2019). On KNoT meta-platform for IoT-based control of storage grains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11804 LNAI, pp. 180–185). Springer Verlag. https://doi.org/10.1007/978-3-030-30241-2_16
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