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Research and Application of Warning and Intelligent Control System to Prevent Hollow Fiber Membrane Fouling

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Contemporary Research on E-business Technology and Strategy (iCETS 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 332))

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Abstract

According to the three-tier hardware architecture, BP neural network and fuzzy expert system we design a hollow fiber membrane fouling warning and intelligent control system, which can be realized on membrane fouling prediction, intelligent diagnosis and control. The system can effectively control the membrane systems with real-time operation; it can adjust system parameters with the water quality changes. It effectively inhibits membrane fouling, and reduces the off-line chemical cleaning of the membrane. With this, it can avoid physical and chemical damage, and extend membrane service life.

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Author information

Authors and Affiliations

  1. The Academy of Computer Science and Technology, Tianjin University, Tianjin, 30072, China

    Tong Yun & Qu Ri

  2. Tianjin Academy of Environmental Science, Tianjin, 300191, China

    Xu Dan-yu & Zheng Xian-qiang

Authors
  1. Tong Yun
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  2. Qu Ri
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  3. Xu Dan-yu
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  4. Zheng Xian-qiang
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Editor information

Editors and Affiliations

  1. CeBA Canada, Ottawa, ON, Canada

    Vasil Khachidze

  2. ITSB, PWGSC, Ottawa, ON, Canada

    Tim Wang

  3. Algonquin College, Woodroffe Campus, Ottawa, ON, Canada

    Sohail Siddiqui

  4. Macau University of Science and Technology, Taipa, Macau

    Vincent Liu

  5. Nationan Research Council, Ottawa, ON, Canada

    Sergio Cappuccio

  6. Carleton University, Ottawa, ON, Canda

    Alicia Lim

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© 2012 Springer-Verlag Berlin Heidelberg

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Yun, T., Ri, Q., Dan-yu, X., Xian-qiang, Z. (2012). Research and Application of Warning and Intelligent Control System to Prevent Hollow Fiber Membrane Fouling. In: Khachidze, V., Wang, T., Siddiqui, S., Liu, V., Cappuccio, S., Lim, A. (eds) Contemporary Research on E-business Technology and Strategy. iCETS 2012. Communications in Computer and Information Science, vol 332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34447-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-34447-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34446-6

  • Online ISBN: 978-3-642-34447-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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