IoT based indoor monitoring framework to reduce the effects of passive smoking

Hidayat Ullah; Javed Iqbal Bangash; Junaid Ur Rahman; Rafiullah Khan; Abdul Wheed  Khan; Riaz Ud Din

IoT based indoor monitoring framework to reduce the effects of passive smoking

Hidayat Ullah^*, Javed Iqbal Bangash, Junaid Ur Rahman, Rafiullah Khan, Abdul Wheed Khan, Riaz Ud Din

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Passive smoking and other indoor used combusted sources emit toxic compounds in the living premises. These sources produce TVOC’s and CO2 that are dangerous to health and causes some serious diseases like lungs cancer and asthma. A real time solution is necessary to protect human health. Hence, this paper presents an IoT-Based indoor monitoring framework to monitor indoor TVOC’s and CO2 in real time and an automatic mechanism to reduce the effects of these pollutants. Node MCU microcontroller and CCS811 sensor for reading TVOC’s and CO2, are used in the developed framework. The developed framework reads TVOC’s and CO2 for every second and send the collected data to cloud server for storing and analyzing remotely. In case of unhealthy air pollution level, an automatic exhaust fan runs according to predefined threshold level. User gets notification message through mobile phone in case of unhealthy pollution level. The experimental framework was tested in a room for passive smoke and other indoor combusted sources. Advantages of the developed framework are: easy to install, low cost hardware, low power sensor, open source, modular and capable to add more sensors. Best reading position for the system installation founded in the experiments is the main contribution in this research.

Original language	English
Title of host publication	Proceedings of 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23)
Editors	Javed Iqbal Bangash
Place of Publication	Pakistan
Publisher	The University of Agriculture Peshawar
Pages	6-11
Number of pages	6
Publication status	Published - 2023
Externally published	Yes
Event	International Conference on Computing Technologies, Tools and Applications (1st : 2023) - Peshawar, Pakistan Duration: 9 May 2023 → 11 May 2023 Conference number: 1st

Conference

Conference	International Conference on Computing Technologies, Tools and Applications (1st : 2023)
Abbreviated title	ICTAPP-23
Country/Territory	Pakistan
City	Peshawar
Period	9/05/23 → 11/05/23

Keywords

Passive Smoking
Indoor Combusted Sources
Internet of Things (IoT)
Node-MCU
Total Volatile Organic Compounds (TVOCs)
Carbon Dioxide (CO₂)

Access to Document

https://ictapp.org.pk/ICTAPP-23-28-Abstract.htmlLicence: Unspecified

Cite this

Ullah, H., Bangash, J. I., Rahman, J. U., Khan, R., Khan, A. W., & Din, R. U. (2023). IoT based indoor monitoring framework to reduce the effects of passive smoking. In J. I. Bangash (Ed.), Proceedings of 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23) (pp. 6-11). The University of Agriculture Peshawar. https://ictapp.org.pk/ICTAPP-23-28-Abstract.html

@inproceedings{6b32ca77a37344c5be91f02eaf3d8b99,

title = "IoT based indoor monitoring framework to reduce the effects of passive smoking",

abstract = "Passive smoking and other indoor used combusted sources emit toxic compounds in the living premises. These sources produce TVOC{\textquoteright}s and CO2 that are dangerous to health and causes some serious diseases like lungs cancer and asthma. A real time solution is necessary to protect human health. Hence, this paper presents an IoT-Based indoor monitoring framework to monitor indoor TVOC{\textquoteright}s and CO2 in real time and an automatic mechanism to reduce the effects of these pollutants. Node MCU microcontroller and CCS811 sensor for reading TVOC{\textquoteright}s and CO2, are used in the developed framework. The developed framework reads TVOC{\textquoteright}s and CO2 for every second and send the collected data to cloud server for storing and analyzing remotely. In case of unhealthy air pollution level, an automatic exhaust fan runs according to predefined threshold level. User gets notification message through mobile phone in case of unhealthy pollution level. The experimental framework was tested in a room for passive smoke and other indoor combusted sources. Advantages of the developed framework are: easy to install, low cost hardware, low power sensor, open source, modular and capable to add more sensors. Best reading position for the system installation founded in the experiments is the main contribution in this research.",

keywords = "Passive Smoking, Indoor Combusted Sources, Internet of Things (IoT), Node-MCU, Total Volatile Organic Compounds (TVOCs), Carbon Dioxide (CO₂)",

author = "Hidayat Ullah and Bangash, {Javed Iqbal} and Rahman, {Junaid Ur} and Rafiullah Khan and Khan, {Abdul Wheed} and Din, {Riaz Ud}",

year = "2023",

language = "English",

pages = "6--11",

editor = "Bangash, {Javed Iqbal}",

booktitle = "Proceedings of 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23)",

publisher = "The University of Agriculture Peshawar",

address = "Pakistan",

note = "International Conference on Computing Technologies, Tools and Applications (1st : 2023), ICTAPP-23 ; Conference date: 09-05-2023 Through 11-05-2023",

}

Ullah, H, Bangash, JI, Rahman, JU, Khan, R, Khan, AW & Din, RU 2023, IoT based indoor monitoring framework to reduce the effects of passive smoking. in JI Bangash (ed.), Proceedings of 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23). The University of Agriculture Peshawar, Pakistan, pp. 6-11, International Conference on Computing Technologies, Tools and Applications (1st : 2023), Peshawar, Pakistan, 9/05/23. <https://ictapp.org.pk/ICTAPP-23-28-Abstract.html>

IoT based indoor monitoring framework to reduce the effects of passive smoking. / Ullah, Hidayat; Bangash, Javed Iqbal; Rahman, Junaid Ur et al.
Proceedings of 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23). ed. / Javed Iqbal Bangash. Pakistan: The University of Agriculture Peshawar, 2023. p. 6-11.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - IoT based indoor monitoring framework to reduce the effects of passive smoking

AU - Ullah, Hidayat

AU - Bangash, Javed Iqbal

AU - Rahman, Junaid Ur

AU - Khan, Rafiullah

AU - Khan, Abdul Wheed

AU - Din, Riaz Ud

N1 - Conference code: 1st

PY - 2023

Y1 - 2023

N2 - Passive smoking and other indoor used combusted sources emit toxic compounds in the living premises. These sources produce TVOC’s and CO2 that are dangerous to health and causes some serious diseases like lungs cancer and asthma. A real time solution is necessary to protect human health. Hence, this paper presents an IoT-Based indoor monitoring framework to monitor indoor TVOC’s and CO2 in real time and an automatic mechanism to reduce the effects of these pollutants. Node MCU microcontroller and CCS811 sensor for reading TVOC’s and CO2, are used in the developed framework. The developed framework reads TVOC’s and CO2 for every second and send the collected data to cloud server for storing and analyzing remotely. In case of unhealthy air pollution level, an automatic exhaust fan runs according to predefined threshold level. User gets notification message through mobile phone in case of unhealthy pollution level. The experimental framework was tested in a room for passive smoke and other indoor combusted sources. Advantages of the developed framework are: easy to install, low cost hardware, low power sensor, open source, modular and capable to add more sensors. Best reading position for the system installation founded in the experiments is the main contribution in this research.

AB - Passive smoking and other indoor used combusted sources emit toxic compounds in the living premises. These sources produce TVOC’s and CO2 that are dangerous to health and causes some serious diseases like lungs cancer and asthma. A real time solution is necessary to protect human health. Hence, this paper presents an IoT-Based indoor monitoring framework to monitor indoor TVOC’s and CO2 in real time and an automatic mechanism to reduce the effects of these pollutants. Node MCU microcontroller and CCS811 sensor for reading TVOC’s and CO2, are used in the developed framework. The developed framework reads TVOC’s and CO2 for every second and send the collected data to cloud server for storing and analyzing remotely. In case of unhealthy air pollution level, an automatic exhaust fan runs according to predefined threshold level. User gets notification message through mobile phone in case of unhealthy pollution level. The experimental framework was tested in a room for passive smoke and other indoor combusted sources. Advantages of the developed framework are: easy to install, low cost hardware, low power sensor, open source, modular and capable to add more sensors. Best reading position for the system installation founded in the experiments is the main contribution in this research.

KW - Passive Smoking

KW - Indoor Combusted Sources

KW - Internet of Things (IoT)

KW - Node-MCU

KW - Total Volatile Organic Compounds (TVOCs)

KW - Carbon Dioxide (CO₂)

M3 - Conference proceeding contribution

SP - 6

EP - 11

BT - Proceedings of 1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23)

A2 - Bangash, Javed Iqbal

PB - The University of Agriculture Peshawar

CY - Pakistan

T2 - International Conference on Computing Technologies, Tools and Applications (1st : 2023)

Y2 - 9 May 2023 through 11 May 2023

ER -

IoT based indoor monitoring framework to reduce the effects of passive smoking

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this