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Design of Intelligent Water Purification Control System for Small Waterworks Based on LSTM

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Genetic and Evolutionary Computing (ICGEC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1107))

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Abstract

This paper studies the application of intelligent drug control automatic water purification in tap water supply in remote areas. On the basis of LSTM technology, the solutions of control system, human-computer interaction system and water quality management system for high-efficiency unmanned water purification equipment which meets the small-scale discrete operation are put forward. DTU communication mode is used to realize centralized monitoring of remote multi-point distribution. The scheme is tested and implemented in some remote areas of Fujian Province where the water supply project cannot be covered. The feasibility of the scheme is tested. A good attempt has been made in the field of village-to-village water supply project, which fills the gap of centralized safe and controllable water supply in remote areas.

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References

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Acknowledgement

This research was funded by the Key Scientific and Technological Projects in Fujian Province (Grant GY-Z160011), the Key Project of Science and Technology of Fujian Education Department (Grant JA13212).

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Authors and Affiliations

  1. Fujian University of Technology, Fuzhou, China

    Ying Ma, Zhigang He, Jianxing Li, Kan Luo, Zhengshan Chen & Lisang Liu

  2. Research and Development Center for Industrial Automation Technology of Fujian Province, Fuzhou, 350118, China

    Ying Ma, Zhigang He, Jianxing Li, Kan Luo & Lisang Liu

Authors
  1. Ying Ma
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  2. Zhigang He
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  3. Jianxing Li
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  4. Kan Luo
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  5. Zhengshan Chen
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  6. Lisang Liu
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Corresponding author

Correspondence to Lisang Liu .

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Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Jeng-Shyang Pan

  2. Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Yongquan Liang

  4. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, Australia

    Shu-Chuan Chu

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Cite this paper

Ma, Y., He, Z., Li, J., Luo, K., Chen, Z., Liu, L. (2020). Design of Intelligent Water Purification Control System for Small Waterworks Based on LSTM. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_40

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