结合夜间最小流量法的减压阀经济效益模型  

Economic benefit model of reducing valve by minimum night flow

作　　者：李建宇[1] 高金良[1] 乔怡超 

机构地区：[1]哈尔滨工业大学市政环境工程学院,哈尔滨150090

出　　处：《哈尔滨工业大学学报》2017年第8期55-59,共5页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金(51278148);国家水体污染控制与治理科技重大专项(2014ZX07405002);广东省教育部产学研结合项目(2011A090200040)

摘　　要：为了对城市管道漏失进行有效控制,根据压力驱动漏失水力模型结合夜间最小流量法,确定管网节点的漏失系数,建立考虑压力引起漏失量的改良水力模型——减压阀经济效益模型.该模型使用遗传算法进行求解,以管道漏失量最小化为目标函数,以减压阀最大安装数量、节点压力流量方程、最大允许漏失率为约束条件,求出减压阀安装数量及安装位置,再从所有可行解里面选择一组花费最小的解作为最优解.并以HJ分区为例详细讨论减压阀经济效益模型的求解过程,对实际的管道漏失控制具有指导意义.To effectively control the urban pipeline leakage, the study combines minimum night flow with pressure-driven leakage hydraulic model to calculate the leakage coefficient of network nodes and establish an enhanced hydraulic model considering pressure dependent leakage terms. The model uses the genetic algorithm to solve the problem, taking the minimized pipeline leakage loss as the objective function, the maximum installed number of the pressure reducing valve, the node pressure flow equation, and the maximum allowable leakage rate as the constraint conditions, to find out the installation number and locations of the pressure reducing valves. The one which costs the least is chosen from all the feasibilities as the optimal solution, and HJ area partition is taken as an example to illustrate in detail the calculation procedures of the decision support model. Our study possesses the guiding significance for the control of the actual pipeline leakage.

关 键 词：遗传算法 夜间最小流量法 压力驱动 漏失控制 

分 类 号：TU991[建筑科学—市政工程]