SPIRI: Low Power IoT Solution for Monitoring Indoor Air Quality

John Esquiagola, Matheus Manini, Arthur Aikawa, Leopoldo Yoshioka, Marcelo Zuffo

2018

Abstract

Annually, millions of people worldwide die prematurely as a consequence of air pollution. Many of these deaths occur in large cities, where exhaust from cars, factories, and power plants fills the air with hazardous particles. However, the issue is not only in outdoor areas of the cities because most people spend more than 90\% of their time in their houses, offices or cars. Indoor air pollution (IAP) affects human health, safety, productivity, and comfort. There are some reports about attacking the indoor air quality (IAQ) problem by utilizing IoT technology, but most solutions are driving the urban environmental problem. This paper presents the SPIRI platform which proposes to measure IAP using an IoT network of connected sensors that gather and send important information like temperature, relative humidity, volatile organic compounds (VOC), particulate matter (PM), among others. Using this data, indoor environments can be mapped, track changes over time, identify pollutions sources, and analyze potential interventions to reduce the IAP. Initial results of the current development of our IoT platform to perform the real\-time monitoring of the IAP is presented. Hardware and software are also presented because our solution needs to be aware of the current IoT challenges such as scalability, security and interoperability. Both 6LoWPAN and IEEE 802.15.4 standards were implemented to establish the communication between the devices

Paper Citation

in Harvard Style

Esquiagola J., Manini M., Aikawa A., Yoshioka L. and Zuffo M. (2018). SPIRI: Low Power IoT Solution for Monitoring Indoor Air Quality.In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-296-7, pages 285-290. DOI: 10.5220/0006783002850290

in Bibtex Style

@conference{iotbds18,
author={John Esquiagola and Matheus Manini and Arthur Aikawa and Leopoldo Yoshioka and Marcelo Zuffo},
title={SPIRI: Low Power IoT Solution for Monitoring Indoor Air Quality},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2018},
pages={285-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006783002850290},
isbn={978-989-758-296-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - SPIRI: Low Power IoT Solution for Monitoring Indoor Air Quality
SN - 978-989-758-296-7
AU - Esquiagola J.
AU - Manini M.
AU - Aikawa A.
AU - Yoshioka L.
AU - Zuffo M.
PY - 2018
SP - 285
EP - 290
DO - 10.5220/0006783002850290