標題: A Hybrid Heuristic Optimization Approach for Leak Detection in Pipe Networks Using Ordinal Optimization Approach and the Symbiotic Organism Search
作者: Lin, Chao-Chih
環境工程研究所
Institute of Environmental Engineering
關鍵字: leak detection;pipe network;inverse transient analysis (ITA);water distribution networks (WDNs);ordinal optimization approach (OOA);symbiotic organism search (SOS)
公開日期: 1-Oct-2017
摘要: A new transient-based hybrid heuristic approach is developed to optimize a transient generation process and to detect leaks in pipe networks. The approach couples the ordinal optimization approach (OOA) and the symbiotic organism search (SOS) to solve the optimization problem by means of iterations. A pipe network analysis model (PNSOS) is first used to determine steady-state head distribution and pipe flow rates. The best transient generation point and its relevant valve operation parameters are optimized by maximizing the objective function of transient energy. The transient event is created at the chosen point, and the method of characteristics (MOC) is used to analyze the transient flow. The OOA is applied to sift through the candidate pipes and the initial organisms with leak information. The SOS is employed to determine the leaks by minimizing the sum of differences between simulated and computed head at the observation points. Two synthetic leaking scenarios, a simple pipe network and a water distribution network (WDN), are chosen to test the performance of leak detection ordinal symbiotic organism search (LDOSOS). Leak information can be accurately identified by the proposed approach for both of the scenarios. The presented technique makes a remarkable contribution to the success of leak detection in the pipe networks.
URI: http://dx.doi.org/10.3390/w9100812
http://hdl.handle.net/11536/144047
ISSN: 2073-4441
DOI: 10.3390/w9100812
期刊: WATER
Volume: 9
Issue: 10
起始頁: 0
結束頁: 0
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