Smart Building Management Systems and Internet of Things

Астье, Жан Ив; Жуков, Игорь Юрьевич; Мурашов, Олег Николаевич

doi:10.26583/bit.2017.3.02

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…Narrowband power line communication (N-PLC) was utilized by Bautista et al [10] to connect the server to the service node where the utilities are connected. Astier et al [11] have adapted the Malte concept [12] to Ippolito's technological management systems and control logics [13]. They discussed the use of Modbus/ TCP, HTML/JavaScript and structured query language (SQL) as alternative and cost-effective solution in the deployment of an IoT based building management system.…”

Section: Introductionmentioning

confidence: 99%

Green switch: an IoT based energy monitoring system for mabini building in De La Salle Lipa

Magtibay

Cabrera

Roxas

et al. 2021

IJEECS

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<p>Building energy management systems (BEMS) are critical tools for managing and controlling a facility's technical systems and services, such as lighting, ventilation, heating, and air conditioning, to ensure that the building operates at peak efficiency while decreasing energy waste. The Mabini Building at De La Salle Lipa has nearly a hundred rooms, 70 of which are used by college students for lecture and laboratory classes. From 7:30 a.m. to 9:00 p.m., these rooms are available. In a daily class schedule, air conditioning units and lights are used an average of 10 hours per day, while fans and power outlets are used an average of 5 hours. Even when no classes are being held, the aforementioned equipment is frequently left open in these rooms. The researchers created and constructed an IoT-based energy monitoring system to monitor and control the lights and outlets in a room. The system will also record the number of kilowatt-hours (kWh) consumed. The system employs NodeMCU, current, and voltage sensors, a Raspberry Pi 3, and the school's existing network to send and receive data from the server. The building administrator will use the collected data to give consumption statistics and reduce the carbon footprint.</p>

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Section: Introductionmentioning

confidence: 99%