摘要
针对城市供水管网的爆管事故,基于管网水力学模型和管网水压监测点的监测信息,利用3种智能优化算法——杜鹃算法、遗传算法和粒子群算法,建立了爆管定位模型,并在2个算例管网中进行了测试.2个算例管网的运行结果显示,杜鹃算法由于其调节参数少,快速搜寻能力强,在爆管定位的智能优化算法中显示了更优秀的定位能力,在小规模算例管网中可以实现对爆管点的定位,在较大规模的算例管网中也可以实现90%以上的定位寻优效果,显示了强大的算法应用可扩展性.
The paper presents an algorithm for the location of sudden bursts in combination with both continuous monitoring of pressure and hydraulic model computation. The Cuckoo Search, genetic algorithm and particle swarm approaches were employed to identify the location of leakage. Their performances were compared. The results show that the Cuckoo Search has a better performance in terms of searching speed and parameter requirement among the three optimization algorithms. The case study results reveal the potential of technique in a the proposed burst location identification real-life water distribution system
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第5期740-744,共5页
Journal of Tongji University:Natural Science
基金
水体污染控制与治理科技重大专项(2012ZX07408-002)
关键词
给水管网
漏水点定位
智能优化算法
water distribution system
leakage location
modern optimization algorithm
