Skip to main content

Intelligent Indoor Environment Monitoring System Based on IoT and Cloud Platform

  • Conference paper
  • First Online:
Book cover Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 856))

Included in the following conference series:

  • 1326 Accesses

Abstract

In order to achieve intelligent, comprehensive and real-time monitoring of indoor environmental parameters, an indoor environment monitoring system based on IoT and cloud computing technology was designed. The system integrates IoT and cloud computing technology for indoor environment monitoring, and uses the cloud computing information technology platform to establish an evaluation model of indoor thermal comfort and air quality based on BP neural network. This is of great significance to the monitoring, statistics and analysis of the comfort of the residents in the residential environment. Experiments show that the system has low cost, low power consumption, simple operation, stable operation, high measurement accuracy and good practical value.

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 EPUB and 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

References

  1. Thakur, R.C., Singh, Y.P., Lamba, S.S.: Liquid level measurement and control using microcomputer. IETE Tech. Rev. 9, 348–355 (2015)

    Article  Google Scholar 

  2. Davidoff, S., Min, K.L., Yiu, C., et al.: Principles of smart home control. In: UBICOMP 2006: Ubiquitous Computing, International Conference, UBICOMP 2006, Orange County, Ca, USA, September 2006, pp. 19–34. DBLP (2006)

    Google Scholar 

  3. Tsang, K.F., Chi, H.R., Fu, L., et al. Energy-saving IAQ monitoring ZigBee network using VIKOR decision making method. In: IEEE International Conference on Industrial Technology 2004–2009. IEEE (2016)

    Google Scholar 

  4. Gao, Y., Diao, Y., Lin, C., et al.: Monitoring and analysis of thermal environment and harmful gases in mechanically ventilated multistory pig buildings. Trans. Chin. Soc. Agric. Eng. (2018)

    Google Scholar 

  5. Fanger, P.O.: Calculation of thermal comfort. ASHRAE Trans. 73(2), 5–6 (1967)

    Google Scholar 

  6. Ministry of Health: GB/T18883-2002 Implementation Guidelines for Indoor Air Quality Standards. China Standard Press (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haoming Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, H., Liu, P. (2019). Intelligent Indoor Environment Monitoring System Based on IoT and Cloud Platform. In: Deng, K., Yu, Z., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2018. Advances in Intelligent Systems and Computing, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-00214-5_40

Download citation

Publish with us

Policies and ethics