Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things

<p> The Internet of Things (IoT) is the network of physical objects embedded with sensors and connectivity. The ubiquitous nature of IoT nodes will allow the deployment of embedded sensors, actuators, cameras, mobile phones, and Radio Frequency Identification Devices (RFID) in buildings for mo...

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Main Author: Pradeep Kumar, Harshvardhan
Language:EN
Published: California State University, Long Beach 2016
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=10096079
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spelling ndltd-PROQUEST-oai-pqdtoai.proquest.com-100960792016-04-14T04:11:38Z Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things Pradeep Kumar, Harshvardhan Electrical engineering <p> The Internet of Things (IoT) is the network of physical objects embedded with sensors and connectivity. The ubiquitous nature of IoT nodes will allow the deployment of embedded sensors, actuators, cameras, mobile phones, and Radio Frequency Identification Devices (RFID) in buildings for monitoring the condition of the building and the well being of the occupants. The current project presents the design and implementation of a sensor network within the IoT framework, using infrared (IR) sensors to monitor the number of visitors in the building and their distribution across predetermined zones. Using IR sensor data the Demand-Controlled Ventilation (DCV) units on each floor are controlled based on zone occupancies. The occupancy data are displayed on a mobile phone or PC using a Wireless Fidelity (WiFi) module. The devices in the experimental implementation of this network include IR, temperature, and CO2 sensors, interfaced to a microcontroller. Experimental testing shows that the network performs flawlessly and reliably.</p> California State University, Long Beach 2016-04-13 00:00:00.0 thesis http://pqdtopen.proquest.com/#viewpdf?dispub=10096079 EN
collection NDLTD
language EN
sources NDLTD
topic Electrical engineering
spellingShingle Electrical engineering
Pradeep Kumar, Harshvardhan
Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
description <p> The Internet of Things (IoT) is the network of physical objects embedded with sensors and connectivity. The ubiquitous nature of IoT nodes will allow the deployment of embedded sensors, actuators, cameras, mobile phones, and Radio Frequency Identification Devices (RFID) in buildings for monitoring the condition of the building and the well being of the occupants. The current project presents the design and implementation of a sensor network within the IoT framework, using infrared (IR) sensors to monitor the number of visitors in the building and their distribution across predetermined zones. Using IR sensor data the Demand-Controlled Ventilation (DCV) units on each floor are controlled based on zone occupancies. The occupancy data are displayed on a mobile phone or PC using a Wireless Fidelity (WiFi) module. The devices in the experimental implementation of this network include IR, temperature, and CO2 sensors, interfaced to a microcontroller. Experimental testing shows that the network performs flawlessly and reliably.</p>
author Pradeep Kumar, Harshvardhan
author_facet Pradeep Kumar, Harshvardhan
author_sort Pradeep Kumar, Harshvardhan
title Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
title_short Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
title_full Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
title_fullStr Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
title_full_unstemmed Multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
title_sort multi-sensor-based occupancy monitoring for energy efficient smart buildings based on internet of things
publisher California State University, Long Beach
publishDate 2016
url http://pqdtopen.proquest.com/#viewpdf?dispub=10096079
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