Internet of Things: WLAN Connected Thermostat
Takougoum Fonkoua, Thierry
Promotor(s) :
Kraft, Michael
Date of defense : 8-Sep-2016/9-Sep-2016 • Permalink : http://hdl.handle.net/2268.2/1651
Details
Title : | Internet of Things: WLAN Connected Thermostat |
Translated title : | [fr] Internet des objets: Thermostat Connecté au réseau WLAN |
Author : | Takougoum Fonkoua, Thierry ![]() |
Date of defense : | 8-Sep-2016/9-Sep-2016 |
Advisor(s) : | Kraft, Michael ![]() |
Committee's member(s) : | Laurent, Philippe ![]() Vanderheyden, Benoît ![]() Vanderbemden, Philippe ![]() Axisa, Fabrice |
Language : | English |
Keywords : | [fr] IoT, thermostat |
Discipline(s) : | Engineering, computing & technology > Electrical & electronics engineering |
Target public : | Researchers Professionals of domain Student General public Other |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en ingénieur civil électricien, à finalité approfondie |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] In the context of the emerging Internet of Things, the project aims at investigating
whether a standard programmable radiator thermostat can be converted into a WLAN
connected device that can be connected to a standard home WiFi router. A software
application is supposed to be developed to control the thermostat remotely.
Based on the main features of electronic thermostats on the market, it was possible to
define a basic model . The ESP8266-01, a low-power WiFi transceiver was then added
to the basic module to add the connectivity. The relatively low cost of the WiFi module
has allowed to show that it is possible to develop low cost connected objects and free
them from a central gateway that is found very often in this type of projects.
A web application was develop to control remotely the electronic board via the Internet.
The database behind the web application allows the thermostat and users to easily
exchange data. To reduce the power consumption, the micro-controller and WiFi module
programs allow them to be in the sleep mode much of the time . They come out of this
mode to execute an operation and then immediately go back in the sleep mode. In
addition a small learning algorithm was develop to allow the thermostat to function
fairly accurately.
The prototype test stages highlight the main features of the thermostat. It is a low
power device powered by battery. It can be connected directly to the WLAN, can
automatically get an IP address. It can be controlled from any place through the Internet.
A comparative study between its operation and two other types of thermostat allowed
to measure the potential energy savings it brings.
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