Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong

K. L. Keung, C. K. M. Lee, K. Ng, Chun-Kit Yeung
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引用次数: 25

Abstract

Heavy downpours always bring trouble to Hong Kong during the rainy season. Severe rainfalls and flooding will delay the transportation, cause the loss of property or even kill lives. However, there is limited research that investigated the problems of the drainage system and stormwater management. Regarding the Internet of Things (IoT) development and successful example of IoT application, Hong Kong has the potential to become a smart city. The smart drainage system is one of the possible research directions. A prototype IoT system is decided with hardware and software. Experiments are conducted to collect the data. The data is then used to train the Artificial Neural Network. The analysis and predictive maintenance solutions are proposed to help the stormwater and drainage management. The results show that a well-trained algorithm can predict the drainage situations. The cross-validated results showed that it is reliable and able to predict most of the testing inputs. This paper aims at benefit to Hong Kong drainage service and the society.
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智慧城市应用与分析:物联网传感器实时城市排水监测:以香港为例
在雨季,倾盆大雨总是给香港带来麻烦。强降雨和洪水会延误交通,造成财产损失甚至死亡。然而,调查排水系统和雨水管理问题的研究有限。就物联网的发展及成功应用例子而言,香港有潜力成为一个智慧城市。智能排水系统是可能的研究方向之一。物联网系统的原型由硬件和软件组成。进行实验以收集数据。然后这些数据被用来训练人工神经网络。提出了分析和预测性维护解决方案,以帮助雨水和排水管理。结果表明,经过良好训练的算法可以预测排水情况。交叉验证结果表明,该方法是可靠的,能够预测大部分测试输入。本文旨在为香港渠务服务及社会带来利益。
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