Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings

With the growing need to obtain information about power consumption in buildings, it is necessary to investigate how to collect, store, and visualize such information using low-cost solutions. Currently, the available building management solutions are expensive and challenging to support small and m...

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Main Authors: Mohamed A. Ahmed, Sebastian A. Chavez, Ali M. Eltamaly, Hugo O. Garces, Alejandro J. Rojas, Young-Chon Kim
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/23/9045
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author Mohamed A. Ahmed
Sebastian A. Chavez
Ali M. Eltamaly
Hugo O. Garces
Alejandro J. Rojas
Young-Chon Kim
author_facet Mohamed A. Ahmed
Sebastian A. Chavez
Ali M. Eltamaly
Hugo O. Garces
Alejandro J. Rojas
Young-Chon Kim
author_sort Mohamed A. Ahmed
collection DOAJ
description With the growing need to obtain information about power consumption in buildings, it is necessary to investigate how to collect, store, and visualize such information using low-cost solutions. Currently, the available building management solutions are expensive and challenging to support small and medium-sized buildings. Unfortunately, not all buildings are intelligent, making it difficult to obtain such data from energy measurement devices and appliances or access such information. The internet of things (IoT) opens new opportunities to support real-time monitoring and control to achieve future smart buildings. This work proposes an IoT platform for remote monitoring and control of smart buildings, which consists of four-layer architecture: power layer, data acquisition layer, communication network layer, and application layer. The proposed platform allows data collection for energy consumption, data storage, and visualization. Various sensor nodes and measurement devices are considered to collect information on energy use from different building spaces. The proposed solution has been designed, implemented, and tested on a university campus considering three scenarios: an office, a classroom, and a laboratory. This work provides a guideline for future implementation of intelligent buildings using low-cost open-source solutions to enable building automation, minimize power consumption costs, and guarantee end-user comfort.
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spelling doaj.art-df97825024804508bb3949d2eeb18abe2023-11-24T12:07:34ZengMDPI AGSensors1424-82202022-11-012223904510.3390/s22239045Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart BuildingsMohamed A. Ahmed0Sebastian A. Chavez1Ali M. Eltamaly2Hugo O. Garces3Alejandro J. Rojas4Young-Chon Kim5Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, ChileDepartment of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, ChileElectrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptDepartamento Ingeniería Informática, Universidad Católica de la Santísima Concepción, Concepción 4090541, ChileDepartamento Ingeniería Eléctrica, Universidad de Concepción, Victor Lamas 1290, Concepción 4070386, ChileDepartment of Computer Engineering, Jeonbuk National University, Jeonju 561-756, Republic of KoreaWith the growing need to obtain information about power consumption in buildings, it is necessary to investigate how to collect, store, and visualize such information using low-cost solutions. Currently, the available building management solutions are expensive and challenging to support small and medium-sized buildings. Unfortunately, not all buildings are intelligent, making it difficult to obtain such data from energy measurement devices and appliances or access such information. The internet of things (IoT) opens new opportunities to support real-time monitoring and control to achieve future smart buildings. This work proposes an IoT platform for remote monitoring and control of smart buildings, which consists of four-layer architecture: power layer, data acquisition layer, communication network layer, and application layer. The proposed platform allows data collection for energy consumption, data storage, and visualization. Various sensor nodes and measurement devices are considered to collect information on energy use from different building spaces. The proposed solution has been designed, implemented, and tested on a university campus considering three scenarios: an office, a classroom, and a laboratory. This work provides a guideline for future implementation of intelligent buildings using low-cost open-source solutions to enable building automation, minimize power consumption costs, and guarantee end-user comfort.https://www.mdpi.com/1424-8220/22/23/9045intelligent campussmart buildinginternet of things platformremote monitoring and control
spellingShingle Mohamed A. Ahmed
Sebastian A. Chavez
Ali M. Eltamaly
Hugo O. Garces
Alejandro J. Rojas
Young-Chon Kim
Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings
Sensors
intelligent campus
smart building
internet of things platform
remote monitoring and control
title Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings
title_full Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings
title_fullStr Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings
title_full_unstemmed Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings
title_short Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings
title_sort toward an intelligent campus iot platform for remote monitoring and control of smart buildings
topic intelligent campus
smart building
internet of things platform
remote monitoring and control
url https://www.mdpi.com/1424-8220/22/23/9045
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AT alejandrojrojas towardanintelligentcampusiotplatformforremotemonitoringandcontrolofsmartbuildings
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