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International Conference on Smart City and Intelligent Building

ICSCIB 2018: Advancements in Smart City and Intelligent Building pp 477–484Cite as

PLC-Based Intelligent Home Control System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 890 ))

Abstract

This paper presents an intelligent home control system based on PLC. The system combines the BP neural network algorithm with the traditional PID algorithm. The proposed algorithm has better dynamic performance, faster adjustment speed, and smaller overshoot. It can track to control and adjust the complex and nonlinear data with a higher standard. At the same time, the overall design plan of the system is described in details. The system designed in this paper provides a good reference for the practical application of intelligent home.

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Acknowledgements

The work was supported by the “13th Five-Year” Science and Technology Research Project of the Department of Education, Jilin Province, China with grant no. [2016] 143.

Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, 130118, China

    Liming Wei, Yangyun Wu & Xiujuan Guo

  2. Art Science Architecture Creative Center, Jilin Jianzhu University, Changchun, 130118, China

    Liming Wei, Yangyun Wu & Xiujuan Guo

Authors
  1. Liming Wei
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  2. Yangyun Wu
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  3. Xiujuan Guo
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Corresponding author

Correspondence to Liming Wei .

Editor information

Editors and Affiliations

  1. Anhui Jianzhu University, Hefei, China

    Qiansheng Fang

  2. University of the West of England, Bristol, UK

    Quanmin Zhu

  3. Shenyang Jianzhu University, Shenyang, China

    Feng Qiao

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Wei, L., Wu, Y., Guo, X. (2019). PLC-Based Intelligent Home Control System. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_44

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  • DOI: https://doi.org/10.1007/978-981-13-6733-5_44

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6732-8

  • Online ISBN: 978-981-13-6733-5

  • eBook Packages: EngineeringEngineering (R0)

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