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. K.H. Ng; C. K. Yeung

doi:10.1109/IEEM.2018.8607303

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. K.H. Ng
, C. K. Yeung

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

45 Citations (Scopus)

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.

Original language	English
Title of host publication	2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Publisher	IEEE Computer Society
Pages	521-525
Number of pages	5
ISBN (Electronic)	9781538667866
DOIs	https://doi.org/10.1109/IEEM.2018.8607303
Publication status	Published - 9 Jan 2019
Event	2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand Duration: 16 Dec 2018 → 19 Dec 2018

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2019-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Country/Territory	Thailand
City	Bangkok
Period	16/12/18 → 19/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Artificial Neural Network
IoT
Sensor Application
Smart City
Urban Drainage system

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

More information

10.1109/IEEM.2018.8607303

http://hdl.handle.net/10397/89980

Cite this

Keung, K. L., Lee, C. K. M., Ng, K. K. H., & Yeung, C. K. (2019). Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 (pp. 521-525). Article 8607303 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2018.8607303

Keung, K. L. ; Lee, C. K.M. ; Ng, K. K.H. et al. / Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong. 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, 2019. pp. 521-525 (IEEE International Conference on Industrial Engineering and Engineering Management).

@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",

}

Keung, KL, Lee, CKM , Ng, KKH & Yeung, CK 2019, Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong. in 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018., 8607303, IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2019-December, IEEE Computer Society, pp. 521-525, 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018, Bangkok, Thailand, 16/12/18. https://doi.org/10.1109/IEEM.2018.8607303

Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong. / Keung, K. L.; Lee, C. K.M.; Ng, K. K.H. et al.
2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, 2019. p. 521-525 8607303 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong

AU - Keung, K. L.

AU - Lee, C. K.M.

AU - Ng, K. K.H.

AU - Yeung, C. K.

PY - 2019/1/9

Y1 - 2019/1/9

N2 - 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.

AB - 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.

KW - Artificial Neural Network

KW - IoT

KW - Sensor Application

KW - Smart City

KW - Urban Drainage system

UR - https://www.scopus.com/pages/publications/85061835908

U2 - 10.1109/IEEM.2018.8607303

DO - 10.1109/IEEM.2018.8607303

M3 - Conference article published in proceeding or book

AN - SCOPUS:85061835908

T3 - IEEE International Conference on Industrial Engineering and Engineering Management

SP - 521

EP - 525

BT - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018

PB - IEEE Computer Society

T2 - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018

Y2 - 16 December 2018 through 19 December 2018

ER -

Keung KL, Lee CKM , Ng KKH, Yeung CK. Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society. 2019. p. 521-525. 8607303. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2018.8607303

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this