DocumentCode :
1758306
Title :
Computational Intelligence for Urban Infrastructure Condition Assessment: Water Transmission and Distribution Systems
Author :
Zheng Liu ; Kleiner, Yehuda
Author_Institution :
Toyota Technol. Inst., Nagoya, Japan
Volume :
14
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
4122
Lastpage :
4133
Abstract :
Water transmission and distribution systems are critical urban infrastructure. The aging of water mains can lead to increased breakage rate, decreased hydraulic capacity, and deterioration of water quality. Condition assessment of water mains encompasses building computational model of failures, discerning distress indicators from inspection, rating health condition, and forecasting future failures. In this process, computational intelligence helps to achieve high-level awareness of system condition and facilitates the decision making in water main renewal and rehabilitation using the combined information from field knowledge, historical records, inspection results, and sensory data. This paper reviews computational approaches to achieve condition assessment of water mains. Inspection and sensor technologies involved in the assessment process are also briefly discussed.
Keywords :
ageing; condition monitoring; decision making; fracture; inspection; water supply; breakage rate; computational intelligence; critical urban infrastructure; decision making; distress indicators; field knowledge; historical records; hydraulic capacity; inspection; sensor technologies; sensory data; urban infrastructure condition assessment; water distribution systems; water main renewal; water mains aging; water quality deterioration; water rehabilitation; water transmission systems; Computational modeling; Inspection; Leak detection; Monitoring; Soil; Transient analysis; Computational intelligence; information fusion; water pipe;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2014.2336240
Filename :
6855316
Link To Document :
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