@inproceedings{394e7098807846d19351c4db60a32334,
title = "Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong",
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.",
keywords = "Artificial Neural Network, IoT, Sensor Application, Smart City, Urban Drainage system",
author = "Keung, {K. L.} and Lee, {C. K.M.} and Ng, {K. K.H.} and Yeung, {C. K.}",
year = "2019",
month = jan,
day = "9",
doi = "10.1109/IEEM.2018.8607303",
language = "English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "521--525",
booktitle = "2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018",
address = "United States",
note = "2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 ; Conference date: 16-12-2018 Through 19-12-2018",
}
