Skip to main content

Monitoring Indoor Air Quality to Improve Occupational Health

  • Conference paper
  • First Online:
New Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 445))

Abstract

Indoor environments are characterized by several pollutant sources. As people typically spend more than 90 % of their time in indoor environments. Thus, indoor air quality (iAQ) is recognized as an important factor to be controlled for the occupants’ health and comfort. The majority of the monitoring systems presently available is very expensive and only allow to collect random samples. This work describes the system (iAQ), a low-cost indoor air quality monitoring wireless sensor network system, developed using Arduino, XBee modules and micro sensors, for storage and availability of monitoring data on a web portal in real time. Five micro sensors of environmental parameters (air temperature, humidity, carbon monoxide, carbon dioxide and luminosity) were used. Other sensors can be added for monitoring specific pollutants. The results reveal that the system can provide an effective indoor air quality assessment to prevent exposure risk. In fact, the indoor air quality may be extremely different compared to what is expected for a quality living environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Spengler JD, Sexton K.: Indoor air pollution: a public health perspective. Science. 221, 9–17 (1983)

    Google Scholar 

  2. USEPA - United States Environmental Protection Agency: Questions About Your Community: Indoor Air, http://www.epa.gov/region1/communities/indoorair.html

  3. Mukhopadhyay, K., Ramasamy, R., Mukhopadhyay, B., Ghosh, S., Sambandam, S., Balakrishnan, K.: Use of Ventilation-Index in the Development of Exposure Model for Indoor Air Pollution—A Review. Open Journal of Air Pollution. 3, 33—41 (2014)

    Google Scholar 

  4. Pitarma, R., Lourenço, M., Ramos, J.: “Improving ocupational health by modelling indoor pollutant distribution”. Facilities (in press)

    Google Scholar 

  5. De Vito, S., Fattoruso,G., Liguoro,R., Oliviero, A., Massera, E., Sansone, C., Casola, V. Di Francia, G.: Cooperative 3D Air Quality Assessment With Wireless Chemical Sensing Networks, Procedia Engineering. 25, pp. 84–87 (2011)

    Google Scholar 

  6. Preethichandra, D.: Design of a smart indoor air quality monitoring wireless sensor network for assisted living. In: conference record – IEEE Instrumentation and Measurements Technology conference (2013)

    Google Scholar 

  7. Yu, T., Lin, C.: An intelligent wireless sensing and control system to improve indoor air quality: monitoring, prediction, and preaction. International Journal of Distributed Sensor Networks (2015)

    Google Scholar 

  8. Al-Haija, Q., Al-Qadeeb, H., Al-Lwaimi, A.: Case Study: Monitoring of AIR quality in King Faisal University using a microcontroller and WSN. Procedia Computer Science. 21, pp. 517—521 (2013)

    Google Scholar 

  9. Preethichandra, D.: Design of a Smart Indoor Air Qiuality Monitoring Wireless Sensor network for Assisted Living. In: IEEE Instrumentation and Measurement Technology Conference (I2MTC2013), pp. 1306—1310. IEEE press, NY (2013)

    Google Scholar 

  10. Yu, T., Lin, C., Chen, C., Lee, W., Tseng, C., Liu, S., Lee, R.: Wireless sensor networks for indoor air quality monitoring, Medical Engineering & Physics. 35, pp. 231–235 (2013)

    Google Scholar 

  11. IEEE 802.15 WPAN Task Group4 (TG4), http://www.ieee802.org/15/pub/TG4.html

  12. ZigBee Alliance, http://www.zigbee.org/

  13. Digi International Inc., http://www.digi.com/

  14. Embedded System for Automatic Irrigation of Cardamom Field using Xbee-PRO Technology

    Google Scholar 

  15. Michael, M.: Arduino Cookbook. O ReiLLY, USA (2012)

    Google Scholar 

  16. Arduino Website, http://www.arduino.cc

  17. Abraham, S., Li, X.; A Cost-Effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications. Procedia Computer Science. 34, pp. 165–171 (2014)

    Google Scholar 

  18. Datasheet SHT10, http://www.sensirion.com/fileadmin/user_upload/customers/sensirion/ Dokumente/Humidity/Sensirion_Humidity_SHT1x_Datasheet_V5.pdf

  19. MQ7 Datasheet, https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-7.pdf

  20. Telaire T6615 Datasheet, http://www.ge-mcs.com/download/co2-flow/920-474C-LR.pdf

  21. LDR 5 mm Datasheet, https://www.robocore.net/upload/attachments/sensor_ldr_gl5528_ 145.pdf

  22. Deployment of Wireless Sensor Networks for Air Quality Monitoring, Wang, M., Wang, Y., Li, Q.: Deployment of Wireless Sensor Networks for Air Quality Monitoring, Advanced Materials Research, 712-715, pp. 1851—1855 (2013)

    Google Scholar 

  23. Liao, Z., Peng, Y., Li, Y., Liang, X., Zhao, Y.: A Web-based visual analytics system for air quality monitoring data. In: 22nd International Conference on Geoinformatics (GeoInformatics), pp. 1—6, IEE Press, NY (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rui Pitarma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Pitarma, R., Marques, G., Caetano, F. (2016). Monitoring Indoor Air Quality to Improve Occupational Health. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-319-31307-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31307-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31306-1

  • Online ISBN: 978-3-319-31307-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics