Skip to main content
SpringerLink
Log in

Design of Intelligent Exhaust System Based on LORA Communication

  • Conference paper
  • First Online:
Book cover Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 515))

  • 1210 Accesses

Abstract

This article will design an intelligent exhaust system based on the characteristics of stable, practical, and efficient, which gather factory environment data by SHT20 sensors, and then use the fixed-point transmission mode of LORA to send the packaged data to relay what processes this data and transmits it to the upper computer [1]. After that, the upper computer sends the appointed threshold values of temperature and time to the relay [2] which controls the switch of the exhaust fan by judging from this threshold values. The maximum error range of SHT20 used in this design is plus or minus 4.5%, which fully meets the requirements of the system. The system has been applied to a factory in Nantong city, and the practical application shows that the system is stable, accurate, and easy to operate, which is of great significance to the realization of intelligence in the factory.

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

Access this chapter

Log in via an institution
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
Hardcover Book
USD 219.99
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. Tian, S.: Thermal control of the temperature control furnace and the upper computer design. In: International Society for Information and Engineering Proceedings of 2016 5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016). International society for information and engineering, vol. 4 (2016)

    Google Scholar 

  2. Khandaker, M.R.A., Wong, K.-K.: Joint source and relay optimization for interference MIMO relay networks. EURASIP J. Adv. Signal Process. 2017(1), 1–14 (2017)

    Google Scholar 

  3. Yu, X.: Research on intelligent exhaust device design of the breaker in the substation. China University of science and technology(Taiwan), Taiwan institute of construction engineering. In: Proceedings of the 2016 International Conference on Civil, Architecture and Environmental Engineering Vol. 1. China university of science and technology(Taiwan)、Taiwan institute of construction engineering, vol. 4 (2016)

    Google Scholar 

  4. Li, J., Meng, X., Song, W.: Intelligent temperature control system design based on single-chip microcomputer. J. Harbin Inst. Technol. 21(03), 91–94 (2014)

    Google Scholar 

  5. Zhang, H.-f., Kang, W.: Design of the data acquisition system based on STM32. Procedia Comput. Sc. 17 (2013)

    Google Scholar 

  6. Guo, L., Liu, D., Zhang, X., Sun, X.: Design of intelligent detecting system based on wireless transmission. J. Zhejiang University SCIENCE A 8(3), 490–494 (2007)

    Google Scholar 

Download references

Acknowledgements

This paper is supported by the opening project of Nantong intelligent information technology joint research center (KFKT2017B05) and the first phase project of Jiangsu university brand specialty construction project (PPZY2015B135).

Author information

Authors and Affiliations

  1. School of Electronics and Information, Nantong University, Nantong, 226019, China

    Yanting Xu & Yongjie Yang

Authors
  1. Yanting Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yongjie Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yongjie Yang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, Y., Yang, Y. (2019). Design of Intelligent Exhaust System Based on LORA Communication. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_101

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6264-4_101

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6263-7

  • Online ISBN: 978-981-13-6264-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation