Energy portal for HVAC applications via smart phones

Indoor positioning systems (IPS) are seeing more interest and research in recent years. However, such systems require wireless sensor networks to be set up to facilitate the positioning computations of the desired object. New Heating, Ventilation, and Air Conditioning (HVAC) systems are also bein...

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Main Author: Hongamornsin, Supphavit
Other Authors: Soh Yeng Chai
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54262
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-542622023-07-07T17:29:34Z Energy portal for HVAC applications via smart phones Hongamornsin, Supphavit Soh Yeng Chai School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::General::Economic and business aspects Indoor positioning systems (IPS) are seeing more interest and research in recent years. However, such systems require wireless sensor networks to be set up to facilitate the positioning computations of the desired object. New Heating, Ventilation, and Air Conditioning (HVAC) systems are also being developed and improved, now with technology for localized cooling in progress. This project explores the possibility of improving the IPS by ridding the extensive hardware components for the wireless sensor networks required and instead using smart phone devices, desktop computers, and laptop computers to act as a smart sensor. Additionally, the result would then be collected and visualized as a thermal map to provide a tool for an automated localized cooling in the future. The smart phone device would use the Media Access Control addresses and the Received Signal Strength Indicator values from nearby existing wireless routers as parameters for positioning; no wireless sensor networks components are needed. The parameters are then passed through a machine learning technique called Extreme Learning Machines, which would output the position of the device. The result would be displayed on an energy portal web page, which visualizes an approximate thermal profile of the room. HVAC system administrators can then use this result to manually adjust the localized cooling or post the data to the system for automated adjustment. Various alternatives are also explored in the process. Bachelor of Engineering 2013-06-18T03:31:15Z 2013-06-18T03:31:15Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54262 en Nanyang Technological University 141 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::General::Economic and business aspects
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::General::Economic and business aspects
Hongamornsin, Supphavit
Energy portal for HVAC applications via smart phones
description Indoor positioning systems (IPS) are seeing more interest and research in recent years. However, such systems require wireless sensor networks to be set up to facilitate the positioning computations of the desired object. New Heating, Ventilation, and Air Conditioning (HVAC) systems are also being developed and improved, now with technology for localized cooling in progress. This project explores the possibility of improving the IPS by ridding the extensive hardware components for the wireless sensor networks required and instead using smart phone devices, desktop computers, and laptop computers to act as a smart sensor. Additionally, the result would then be collected and visualized as a thermal map to provide a tool for an automated localized cooling in the future. The smart phone device would use the Media Access Control addresses and the Received Signal Strength Indicator values from nearby existing wireless routers as parameters for positioning; no wireless sensor networks components are needed. The parameters are then passed through a machine learning technique called Extreme Learning Machines, which would output the position of the device. The result would be displayed on an energy portal web page, which visualizes an approximate thermal profile of the room. HVAC system administrators can then use this result to manually adjust the localized cooling or post the data to the system for automated adjustment. Various alternatives are also explored in the process.
author2 Soh Yeng Chai
author_facet Soh Yeng Chai
Hongamornsin, Supphavit
format Final Year Project
author Hongamornsin, Supphavit
author_sort Hongamornsin, Supphavit
title Energy portal for HVAC applications via smart phones
title_short Energy portal for HVAC applications via smart phones
title_full Energy portal for HVAC applications via smart phones
title_fullStr Energy portal for HVAC applications via smart phones
title_full_unstemmed Energy portal for HVAC applications via smart phones
title_sort energy portal for hvac applications via smart phones
publishDate 2013
url http://hdl.handle.net/10356/54262
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