Smart sensing to drive real-time loads scheduling algorithm in a domotic architecture

Amilcare Francesco Santamaria; Pierfrancesco Raimondo; Floriano De Rango; Andrea Vaccaro

doi:10.1117/12.2053382

21 May 2014 Smart sensing to drive real-time loads scheduling algorithm in a domotic architecture

Amilcare Francesco Santamaria, Pierfrancesco Raimondo, Floriano De Rango, Andrea Vaccaro

Proceedings Volume 9103, Wireless Sensing, Localization, and Processing IX; 91030K (2014) https://doi.org/10.1117/12.2053382
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Nowadays the focus on power consumption represent a very important factor regarding the reduction of power consumption with correlated costs and the environmental sustainability problems. Automatic control load based on power consumption and use cycle represents the optimal solution to costs restraint. The purpose of these systems is to modulate the power request of electricity avoiding an unorganized work of the loads, using intelligent techniques to manage them based on real time scheduling algorithms. The goal is to coordinate a set of electrical loads to optimize energy costs and consumptions based on the stipulated contract terms. The proposed algorithm use two new main notions: priority driven loads and smart scheduling loads. The priority driven loads can be turned off (stand by) according to a priority policy established by the user if the consumption exceed a defined threshold, on the contrary smart scheduling loads are scheduled in a particular way to don’t stop their Life Cycle (LC) safeguarding the devices functions or allowing the user to freely use the devices without the risk of exceeding the power threshold. The algorithm, using these two kind of notions and taking into account user requirements, manages loads activation and deactivation allowing the completion their operation cycle without exceeding the consumption threshold in an off-peak time range according to the electricity fare. This kind of logic is inspired by industrial lean manufacturing which focus is to minimize any kind of power waste optimizing the available resources.

Citation Download Citation

Amilcare Francesco Santamaria, Pierfrancesco Raimondo, Floriano De Rango, and Andrea Vaccaro "Smart sensing to drive real-time loads scheduling algorithm in a domotic architecture", Proc. SPIE 9103, Wireless Sensing, Localization, and Processing IX, 91030K (21 May 2014); https://doi.org/10.1117/12.2053382

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