Planejamento temporal para gerenciamento de dispositivos de internet das coisas em um campus universitário

Abstract

Energy costs in public buildings in Brazil constitute a critical problem, especially in light of the consumption reduction targets established by the federal government. Several measures have been adopted to mitigate this scenario, such as awareness campaigns aimed at building occupants. However, there are still opportunities for improvement, particularly with the adoption of technologies such as the Internet of Things (IoT), which enable basic levels of automation. For a more effective approach, it is necessary to consider not only device automation, but also factors such as environment occupancy, user comfort, and variations in energy prices. Different Artificial Intelligence approaches, such as model predictive control, machine learning, and automated planning, have been explored to address this problem. In this context, this work proposes the application of the Temporal Planning technique for the management of IoT devices, through the integration between a communication system of an IoT network and a planning system capable of performing automated reasoning. As a result, an architecture is proposed that enables the control of electrical equipment in a university campus at the Federal University of Ceará.