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Design of an Urban Waterlogging Monitoring System Based on Internet of Things

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Abstract

The Internet of things (IoT) is the network that composed of different devices (e.g. computers, vehicles, RFID and sensors etc.) and allows these things to connect, interact, generate data and exchange data. The IoT technology plays a role in people and has become a research hotspot. Due to the expansion of urban area, the construction of underground pipelines lags behind, the increase of rainfall makes it impossible to drain rainwater from the city interior, which endangers the safety of life and property. On the one hand, the planning of urban drainage system is unreasonable, on the other hand, the water monitoring system of city road is not formed, the data monitoring and data processing is not timely enough, so that it is failure to achieve effective early warning. In view of the above problems, this paper proposes an urban waterlogging monitoring and warning system. In view of the above problems, this paper proposes a urban waterlogging monitoring and warning system. The system combines Vehicle Network, Sensor Technology and Cellular Network technology to realize an IoT application of rain water monitoring, data transmission, processing and warning system of urban waterlogging situation, which makes the traffic environment in the city more networked and intelligent, and reduces the occurrence of property and personal safety incidents.

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Correspondence to Wuyungerile Li .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, J., Bao, Y., Liu, Y., Li, W. (2019). Design of an Urban Waterlogging Monitoring System Based on Internet of Things. In: Li, J., Liu, Z., Peng, H. (eds) Security and Privacy in New Computing Environments. SPNCE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-21373-2_25

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  • DOI: https://doi.org/10.1007/978-3-030-21373-2_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21372-5

  • Online ISBN: 978-3-030-21373-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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