@misc{10481/80641,
year = {2023},
month = {1},
url = {https://hdl.handle.net/10481/80641},
abstract = {Good health and well-being are primary goals within the list of Sustainable Development
Goals (SDGs) proposed by the United Nations (UN) in 2015. New technologies, such as Internet
of Things (IoT) and Cloud Computing, can aid to achieve that goal by enabling people to improve
their lifestyles and have a more healthy and comfortable life. Pollution monitoring is especially
important in order to avoid exposure to fine particles and to control the impact of human activity
on the natural environment. Some of the sources of hazardous gas emissions can be found indoors.
For instance, carbon monoxide (CO), which is considered a silent killer because it can cause death, is
emitted by water heaters and heaters that rely on fossil fuels. Existing solutions for indoor pollution
monitoring suffer from some drawbacks that make their implementation impossible for households
with limited financial resources. This paper presents the development of IdeAir, a low-cost IoT-based
air quality monitoring system that aims to reduce the disadvantages of existing systems. IdeAir
was designed as a proof of concept to capture and determine the concentrations of harmful gases in
indoor environments and, depending on their concentration levels, issue alarms and notifications,
turn on the fan, and/or open the door. It has been developed following the Test-Driven Development
Methodology for IoT-based Systems (TDDM4IoTS), which, together with the tool (based on this
methodology) used for the automation of the development of IoT-based systems, has facilitated
the work of the developers. Preliminary results on the functioning of IdeAir show a high level of
acceptance by potential users.},
organization = {Spanish Ministry of Science and Innovation (State Research Agency)	PID2019-109644RB-I00},
organization = {Junta de Andalucia	B-TIC-320-UGR20},
organization = {13th International Symposium on Ambient Intelligence (ISAMI 2022)},
publisher = {MDPI},
keywords = {Internet of Things},
keywords = {Development methodology},
keywords = {Development tool},
keywords = {Microcontrollers},
keywords = {Air quality},
title = {Development and Assessment of an Indoor Air Quality Control IoT-Based System},
doi = {10.3390/electronics12030608},
author = {Guerrero Ulloa, Gleiston and Hornos Barranco, Miguel Juan and Rodríguez Domínguez, Carlos},
}