Internet of things for indoor air quality measurements

Janne Luukkaa; Arto Visala; Panu Harmo; Mirja Salkinoja-Salonen

doi:10.1109/INDIN41052.2019.8972276

Internet of things for indoor air quality measurements

Janne Luukkaa, Arto Visala, Panu Harmo, Mirja Salkinoja-Salonen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

Abstrakti

Poor indoor air quality is common in many buildings, especially in schools. It causes significant health issues and expenses. Measurements of new indoor air variables are needed, because, in many cases, conventional measurements cannot explain why people are experiencing problems arising from indoor air. Internet of Things based new better measurements and measurement systems facilitate new ways of solving indoor air quality problems.New measurements of airborne sulphides and surface tension measurements of condensed indoor humidity are implemented with Bluetooth microcontrollers that send the measurement data to a cloud server using a Raspberry Pi based gateway.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 17th IEEE International Conference on Industrial Informatics, INDIN 2019
Kustantaja	IEEE
Sivut	1596-1600
Sivumäärä	5
ISBN (elektroninen)	9781728129273
DOI - pysyväislinkit	https://doi.org/10.1109/INDIN41052.2019.8972276
Tila	Julkaistu - heinäkuuta 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	IEEE International Conference on Industrial Informatics - Aalto University, Helsinki-Espoo, Suomi Kesto: 22 heinäkuuta 2019 → 25 heinäkuuta 2019 Konferenssinumero: 17 https://www.indin2019.org/

Julkaisusarja

Nimi	IEEE International Conference on Industrial Informatics
Kustantaja	IEEE
ISSN (painettu)	1935-4576
ISSN (elektroninen)	2378-363X

Conference

Conference	IEEE International Conference on Industrial Informatics
Lyhennettä	INDIN
Maa	Suomi
Kaupunki	Helsinki-Espoo
Ajanjakso	22/07/2019 → 25/07/2019
www-osoite	https://www.indin2019.org/

Pääsy asiakirjaan

10.1109/INDIN41052.2019.8972276

Muut tiedostot ja linkit

Link to publication in Scopus

Sormenjälki Sukella tutkimusaiheisiin 'Internet of things for indoor air quality measurements'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä

@inproceedings{06a67953ed694223bed50e41f1e960f8,

title = "Internet of things for indoor air quality measurements",

abstract = "Poor indoor air quality is common in many buildings, especially in schools. It causes significant health issues and expenses. Measurements of new indoor air variables are needed, because, in many cases, conventional measurements cannot explain why people are experiencing problems arising from indoor air. Internet of Things based new better measurements and measurement systems facilitate new ways of solving indoor air quality problems.New measurements of airborne sulphides and surface tension measurements of condensed indoor humidity are implemented with Bluetooth microcontrollers that send the measurement data to a cloud server using a Raspberry Pi based gateway.",

keywords = "Air born contaminants, Air humidity, Cleaning agents, Hydrogen sulphide, Indoor Air Quality, Internet of Things, Sulphides, Surface tension",

author = "Janne Luukkaa and Arto Visala and Panu Harmo and Mirja Salkinoja-Salonen",

year = "2019",

month = jul,

doi = "10.1109/INDIN41052.2019.8972276",

language = "English",

series = "IEEE International Conference on Industrial Informatics",

publisher = "IEEE",

pages = "1596--1600",

booktitle = "Proceedings of the 17th IEEE International Conference on Industrial Informatics, INDIN 2019",

address = "United States",

note = "IEEE International Conference on Industrial Informatics, INDIN ; Conference date: 22-07-2019 Through 25-07-2019",

url = "https://www.indin2019.org/",

}

Luukkaa, J, Visala, A , Harmo, P & Salkinoja-Salonen, M 2019, Internet of things for indoor air quality measurements. julkaisussa Proceedings of the 17th IEEE International Conference on Industrial Informatics, INDIN 2019., 8972276, IEEE International Conference on Industrial Informatics, IEEE, Sivut 1596-1600, IEEE International Conference on Industrial Informatics, Helsinki-Espoo, Suomi, 22/07/2019. https://doi.org/10.1109/INDIN41052.2019.8972276

Internet of things for indoor air quality measurements. / Luukkaa, Janne; Visala, Arto ; Harmo, Panu ; Salkinoja-Salonen, Mirja.

Proceedings of the 17th IEEE International Conference on Industrial Informatics, INDIN 2019. IEEE, 2019. s. 1596-1600 8972276 (IEEE International Conference on Industrial Informatics).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

TY - GEN

T1 - Internet of things for indoor air quality measurements

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AU - Salkinoja-Salonen, Mirja

N1 - Conference code: 17

PY - 2019/7

Y1 - 2019/7

N2 - Poor indoor air quality is common in many buildings, especially in schools. It causes significant health issues and expenses. Measurements of new indoor air variables are needed, because, in many cases, conventional measurements cannot explain why people are experiencing problems arising from indoor air. Internet of Things based new better measurements and measurement systems facilitate new ways of solving indoor air quality problems.New measurements of airborne sulphides and surface tension measurements of condensed indoor humidity are implemented with Bluetooth microcontrollers that send the measurement data to a cloud server using a Raspberry Pi based gateway.

AB - Poor indoor air quality is common in many buildings, especially in schools. It causes significant health issues and expenses. Measurements of new indoor air variables are needed, because, in many cases, conventional measurements cannot explain why people are experiencing problems arising from indoor air. Internet of Things based new better measurements and measurement systems facilitate new ways of solving indoor air quality problems.New measurements of airborne sulphides and surface tension measurements of condensed indoor humidity are implemented with Bluetooth microcontrollers that send the measurement data to a cloud server using a Raspberry Pi based gateway.

KW - Air born contaminants

KW - Air humidity

KW - Cleaning agents

KW - Hydrogen sulphide

KW - Indoor Air Quality

KW - Internet of Things

KW - Sulphides

KW - Surface tension

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BT - Proceedings of the 17th IEEE International Conference on Industrial Informatics, INDIN 2019

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