An open source IoT edge-computing system for monitoring energy consumption in buildings

Autor: Daniel Alfonso Verde Romero, Efrain Villalvazo Laureano, Ramón Octavio Jiménez Betancourt, Ernesto Navarro Álvarez
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Results in Engineering, Vol 21, Iss , Pp 101875- (2024)
Druh dokumentu: article
ISSN: 2590-1230
DOI: 10.1016/j.rineng.2024.101875
Popis: This paper presents ''An Open IoT Edge Computing System for Monitoring Energy Consumption in Buildings.'' Implemented at the Faculty of Electromechanical Engineering of the University of Colima, this innovative platform optimizes the pre-existing network infrastructure. Backed by the emerging edge and fog computing paradigms, the solution prioritizes the security of sensitive electrical data, providing detailed power, voltage, and current measurements. Designed to be compatible with various IoT technologies, the research includes practical results that support and validate its effectiveness, highlighting the benefits of edge/fog computing compared to purely cloud-based architectures. It also highlights the versatility of the platform to monitor various variables, emphasizing its applicability in different contexts and monitoring needs.
Databáze: Directory of Open Access Journals