Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 335-338, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-335-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Jun 2016
STUDY OF WATER POLLUTION EARLY WARNING FRAMEWORK BASED ON INTERNET OF THINGS
H. Chengfang, X. Xiao, S. Dingtao, C. Bo, and W. Xiongfei Changjiang River Scientific Research Institute, 430010 Wuhan, Hubei, China
Keywords: Water Pollution, Early Warning, Automatic Monitoring, Warning Framework, Internet of Things Abstract. In recent years, with the increasing world environmental pollution happening, sudden water pollution incident has become more and more frequently in China. It has posed a serious threat to water safety of the people living in the water source area. Conventional water pollution monitoring method is manual periodic testing, it maybe miss the best time to find that pollution incident. This paper proposes a water pollution warning framework to change this state. On the basis of the Internet of things, we uses automatic water quality monitoring technology to realize monitoring. We calculate the monitoring data with water pollution model to judge whether the water pollution incident is happen or not. Water pollution warning framework is divided into three layers: terminal as the sensing layer, it with the deployment of the automatic water quality pollution monitoring sensor. The middle layer is the transfer network layer, data information implementation is based on GPRS wireless network transmission. The upper one is the application layer. With these application systems, early warning information of water pollution will realize the high-speed transmission between grassroots units and superior units. The paper finally gives an example that applying this pollution warning framework to water quality monitoring of Beijing, China, it greatly improves the speed of the pollution warning responding of Beijing.
Conference paper (PDF, 1046 KB)


Citation: Chengfang, H., Xiao, X., Dingtao, S., Bo, C., and Xiongfei, W.: STUDY OF WATER POLLUTION EARLY WARNING FRAMEWORK BASED ON INTERNET OF THINGS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 335-338, https://doi.org/10.5194/isprs-archives-XLI-B8-335-2016, 2016.

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