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Automatic Integrated Exhaust Fan Based on AT89S51 Single Chip Microcomputer

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11067))

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Abstract

This paper introduces the basic design principle of the fully automatic integrated exhaust fan, the composition of the system hardware and the control algorithm. An exhaust fan which can detect gas automatically and work automatically is designed. It is assembled with smoke sensors, carbon monoxide sensors and exhaust fans to achieve automatic detection, automatic operation and elimination of harmful gases, and ensure people’s health is not infringed.

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References

  1. Ma, Q., Lin, R.: Design of a combustible gas alarm based on STC12C5A60S2 microcontroller. Electromech. Technol. 4, 111–113 (2012)

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Author information

Authors and Affiliations

  1. School of Physics and Electronic Engineering, Taishan University, Taian, 271000, Shandong, People’s Republic of China

    Shengqian Ma, Fanchen Meng & Jisong Su

  2. University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China

    Yanruixuan Ma

Authors
  1. Shengqian Ma
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  2. Fanchen Meng
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  3. Yanruixuan Ma
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  4. Jisong Su
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Corresponding authors

Correspondence to Shengqian Ma or Yanruixuan Ma .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Department of Computer Science, Purdue University, West Lafayette, IN, USA

    Elisa Bertino

Ethics declarations

National College Students’ innovation and entrepreneurship training program project “Fully automatic integrated exhaust fan” (project number: 201710453093).

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Cite this paper

Ma, S., Meng, F., Ma, Y., Su, J. (2018). Automatic Integrated Exhaust Fan Based on AT89S51 Single Chip Microcomputer. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11067. Springer, Cham. https://doi.org/10.1007/978-3-030-00018-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-00018-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00017-2

  • Online ISBN: 978-3-030-00018-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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