基于遗传算法的供水管网爆管监控网络布置研究

根据供水管网压力信号的自然波动特性,确定了爆管监控压力波动报警阈值。在此基础上,提出了爆管强度概念,作为监测点优化布局中水力模型爆管模拟的参数之一。根据爆管水力模拟结果,以可监控最大爆管漏水量为目标函数,优化监测网络的布置。在此基础上,进一步提出了爆管监控覆盖率作为确定监测点个数的主要指标。最后,将该方法应用于两个案例,计算结果显示监测点分布均匀,符合常理,被监测到的管道清晰明确,确定监测点数量的依据科学,表明该方法可以应用于工程。

Layout of Burst Monitoring Network in Water Distribution System Based on Genetic Algorithm

According to natural fluctuation characteristics of pressure signal in water distribution system,alarm threshold of pressure fluctuation in burst monitoring was determined.On this basis,the concept of burst strength was put forward as one of the parameters of hydraulic model burst simulation in optimal layout of monitoring points.According to the results of burst hydraulic simulation,layout of the monitoring network was optimized by taking the maximum leakage of burst pipes as the objective function.The coverage rate of burst pipes detection was proposed as the main index to determine the number of monitoring points.Finally,the method was applied to two cases.The calculation results showed that the monitoring points were uniformly distributed and conformed to the common sense.The detected pipelines were clear,and the basis for determining the number of monitoring points was scientific,which indicated that the method could be applied to engineering.