基于污染源反追踪的水质监测点优化选址方法

Investigation of optimal sensor placement based on contaminant backtracking in water distribution systems

摘要:

采用非支配排序遗传算法，以水质监测点探测到的不同污染事件的时段区间重叠度最小化，和污染事件探测概率最大化为优化目标，结合案例管网计算监测点优化选址方案。算例结果与以污染事件探测及时度最大化和探测概率最大化为目标的优化选址方案进行相比，水质监测点的污染事件探测能力和污染源位置识别能力较高。

Abstract:

Nondominated Sorting Genetic Algorithm II was used to find the Pareto front between minimum overlap of possible detection times of two events and the best probability of detection. This methodology was applied to an example network for optimizing sensor placement in water distribution systems. The solutions obtained were then compared to the ones optimized by considering probability of detection and time to detection. The proposed method performs better than the benchmark method in detecting a contamination event and identifying its possible source.