针对供水管网水质监测点的优化选址问题,提出污染源位置识别准确度的概念,以水质监测点探测到的不同污染事件的时段区间冗余度最小化,和污染事件探测概率最大化为优化目标,结合一个案例管网,采用非支配排序遗传算法计算节点用水量变化条件下的监测点优化选址方案,算例结果显示节点用水量的不确定性不显著影响监测点的污染事件探测能力和可能性节点识别能力,但使监测点的污染源位置识别准确度降低. According to the optimization of water quality monitoring points in water supply network, this paper puts forward the concept of location accuracy of pollution sources, minimizes the interval redundancy of different pollution events detected by water quality monitoring points and maximizes the probabilities of detection of pollution events Goal, combined with a case network, the non-dominated ranking genetic algorithm is used to calculate the optimal location of monitoring points under the condition of water consumption of nodes. The results show that the uncertainty of water consumption does not significantly affect the detection ability of pollution events at monitoring points And probabilistic node identification ability, but reduce the accuracy of identifying the location of the pollution source at the monitoring point.