Skip to main content

A System for Classroom Environment Monitoring Using the Internet of Things and Cloud Computing

  • Conference paper
  • First Online:
Book cover Information Science and Applications 2017 (ICISA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 424))

Included in the following conference series:

Abstract

A classroom environment monitoring system was developed as a demonstration to Computer Science and Information Technology undergraduate students to enhance their learning experience. Monitoring and controlling the classroom environment, including the lighting and temperature levels in real-time was the primary functionality of the system. Using data on the optimal light and temperature setting, the demonstration system was able to monitor and assess the environment to ensure the comfort of the students. The system demonstrated to the students the concepts and practices of the Internet of Things (IoT) and cloud computing can be beneficially applied and to provide services in specific application areas, this time in education, with simple system design and implementation. While such an application is not new in concept or implementation, the important features of similar systems discussed in previous systems related to the classroom environment monitoring were identified and analysed, and the best and most important features incorporated in our system, together with our own ideas, to provide the students with a significant learning experience based on a real application, which we implemented and presented as a prototype. The attributes of our system are discussed, and the success in providing a good learning experience for the students are discussed. We suggest that argue that more research is needed on this topic, and encourage other researchers to participate in the topic.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Ryan, H.: The Effect of Classroom Environment on Student Learning (2013)

    Google Scholar 

  2. Medaglia, C.M., Serbanati, A.: An overview of privacy and security issues in the internet of things. In: Giusto, D., Iera, A., Morabito, G., Atzori, L. (eds.) the internet of things, pp. 389–395. Springer, New York (2010)

    Chapter  Google Scholar 

  3. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)

    Article  Google Scholar 

  4. Mircea cel Batran. A cloud solution for monitoring classroom environmental conditions in a smart university (2015)

    Google Scholar 

  5. Cheryan, S., Ziegler, S.A., Plaut, V.C., Meltzoff, A.N.: Designing Classrooms to Maximize Student Achievement (2014)

    Google Scholar 

  6. European Committee for Standardization: Light and lighting – Lighting of work places – Part 1: Indoor work places (2002)

    Google Scholar 

  7. Boatman, J.F., Reichel, B.S.: Environment monitoring system (2006)

    Google Scholar 

  8. Liu, Y., Dong, B., Guo, B., Yang, J., Peng, W.: Combination of cloud computing and IoT in medical monitoring systems. Int. J. Hybrid Inf. Technol. 8(12), 367–376 (2015)

    Article  Google Scholar 

  9. Dlodlo, N.: The IoT technologies in teaching, learning and basic education management (2012)

    Google Scholar 

  10. Palmer, J.M.: Radiometry and Photometry FAQ (1999)

    Google Scholar 

  11. Sun, E., Zhang, X., Li, Z.: The IoT and cloud computing (CC) based tailings dam monitoring and pre-alarm system in mines. Saf. Sci. 50(4), 811–815 (2011)

    Article  Google Scholar 

  12. Weinberger, M.: The IoT at school and at the CES in Las Vegas (2015)

    Google Scholar 

  13. Palma, D., Agudo, J.E., Sanchez, H., Macias, M.M.: An IoT Example: Classrooms Access Control over Near Field Communication (2014)

    Google Scholar 

  14. Spachos, P.: Indoor air quality monitoring though software defined infrastructures (2016)

    Google Scholar 

  15. Niemela, R., Hannula, M., Rautio, S., Reijula, K., Railio, J.: The effect of air temperature on labour productivity in call centres - a case study. Energy Buildings 34(8), 759–764 (2002)

    Article  Google Scholar 

  16. Raspberry Pi: Raspberry Pi 2 Model B (2015)

    Google Scholar 

  17. ROHM: Digital 16bit Serial Output Type Ambient Light Sensor LC (2011)

    Google Scholar 

  18. Ding, D., Chen, H., Zhang, L., Chen, H., Lin, H., Gao, F.: An intelligent and telecontrol environment monitoring equipment with extended interfaces (2015)

    Google Scholar 

  19. Xianghong,K., Weiguo, Q., Kexiang, L., Xinlei, J., Xiang, P.: The design of LED fish gathering lamp PC free multipoint photometer (2015)

    Google Scholar 

  20. Shao, Y., Wang, F., Zhang, Y., Zan, P.: Research of metro illumination control based on BP neural network PID algorithm. In: Fei, M., Peng, C., Su, Z., Song, Y., Han, Q. (eds.) Computational Intelligence, Networked Systems and Their Applications. LSMS/ICSEE 2014. Communications in Computer and Information Science, vol. 462, pp. 1–8. Springer, Heidelberg (2014)

    Google Scholar 

  21. Maxim Integrated. DS18B20 (2015)

    Google Scholar 

  22. Ping, L., Yucai, Z., Zeng, X., Ting-fang, Y.: A Design of the Temperature Test System Based on Grouping DS18B20 (2007)

    Google Scholar 

  23. Pengfei, L., Jiakun, L., Junfeng, J.: Wireless temperature monitoring system based on the ZigBee technology, April 2010

    Google Scholar 

  24. Zhang, X., Fang, J., Yu, X.: Design and implementation of nodes based on CC2430 for the agricultural information wireless monitoring (2010)

    Google Scholar 

  25. Koding, Inc. San Francisco. www.koding.com (2016)

  26. TP-LINK Technologies: Mbps Mini Wireless N USB Adapter TL-WN723N (2016)

    Google Scholar 

  27. Mochizuku, M., Sato, K., Kato, T., Isikawa, M., Sugiyama, T.: Air conditioning control system (1995)

    Google Scholar 

  28. Rattanongphisat, W., Suwannakom, A., Harfield, A.: Indoor weather related to the energy consumption of air conditioned classroom: Monitoring system for energy efficient building plan (2016)

    Google Scholar 

  29. http://www.raspberrypi-spy.co.uk/2015/03/bh1750fvi-i2c-digital-light-intensity-sensor/

  30. http://www.reuk.co.uk/wordpress/raspberry-pi/ds18b20-temperature-sensor-with-raspberry-pi/

  31. Wongthai, W., van Moorsel, A.: Quality analysis of logging system components in the cloud. In: Kim, K., Joukov, N. (eds.) Information Science and Applications (ICISA) 2016. LNEE, vol. 376, pp. 651–662. Springer, Heidelberg (2016). doi:10.1007/978-981-10-0557-2_64

    Chapter  Google Scholar 

  32. Wongthai, W., Van Moorsel, A.: Performance measurement of logging systems in infrastructure as a service cloud. ICIC Express Letters (2016)

    Google Scholar 

  33. https://www.mongodb.com/

  34. https://dl.dropboxusercontent.com/u/4620323/mce.rar

Download references

Acknowledgement

Many thanks to Mr. Roy Morien and Mr. Kevin Roebl of the Naresuan University Language Center for his editing assistance and advice on English expression in this document.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Winai Wongthai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Runathong, W., Wongthai, W., Panithansuwan, S. (2017). A System for Classroom Environment Monitoring Using the Internet of Things and Cloud Computing. In: Kim, K., Joukov, N. (eds) Information Science and Applications 2017. ICISA 2017. Lecture Notes in Electrical Engineering, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-10-4154-9_84

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-4154-9_84

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4153-2

  • Online ISBN: 978-981-10-4154-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics