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An Intelligent Water Regimen Monitoring System

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

Abstract

Intelligent water regimen monitoring system is required to design for protecting people’s safety and property in real time. It is bound to unstoppable that the traditional water level detecting system using manpower is replaced by automatic, intelligent monitoring system. This paper designs an intelligent water regimen monitoring system, which contains remote monitor stations and monitoring center. The remote monitoring station contains an embedded data acquisition module in order to collect environmental data including water level and image periodically. The collected data is then sent to a server over the Internet via cellular network, which is stored on a database and processed to determine early warning of flood in the area based on historical data. The design system not only solves measuring accuracy problem, but also increases working efficiency.

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References

  1. Chen, J.: Method of water level data capturing based on video image recognition. Water Resour. Inform. (2013)

    Google Scholar 

  2. Kim, J., Han, Y., Hahn, H.: Embedded implementation of image-based water-level measurement system. IET Comput. Vis. 5(2), 125–133 (2011)

    Article  Google Scholar 

  3. Dersingh, A.: Design and development of a flood warning system via mobile and computer networks. In: 2016 International Conference on Electronics, Information, and Communications, pp. 1–4 (2016)

    Google Scholar 

  4. Thekkil, T.M., Prabakaran, N.: Real-time WSN based early flood detection and control monitoring system. In: 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), pp. 1709–1713 (2017)

    Google Scholar 

  5. Wang, X., Gu, Y.: Cross-label suppression: a discriminative and fast dictionary learning with group regularization. IEEE Trans. Image Process. 26(8), 3859–3873 (2017)

    Article  MathSciNet  Google Scholar 

  6. Visconti, P., Orlando, C., Primiceri, P.: Solar powered WSN for monitoring environment and soil parameters by specific app for mobile devices usable for early flood prediction or water savings. In: 2016 International Conference on Environment and Electrical Engineering (EEEIC), pp. 1–6 (2016)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Key Lab of Broadband, Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Yaping Fan, Heng Dong, Ying Jiang, Jinqiu Pan, Shangang Fan & Guan Gui

Authors
  1. Yaping Fan
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  2. Heng Dong
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  3. Ying Jiang
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  4. Jinqiu Pan
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  5. Shangang Fan
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  6. Guan Gui
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Corresponding author

Correspondence to Heng Dong .

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, 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 Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Fan, Y., Dong, H., Jiang, Y., Pan, J., Fan, S., Gui, G. (2020). An Intelligent Water Regimen Monitoring System. 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 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_101

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  • DOI: https://doi.org/10.1007/978-981-13-6508-9_101

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

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