摘要
供水管网漏损精准监测对于避免水资源浪费具有重要意义,为此,提出一种面向供水管网漏损监测的传感器优化布置多准则决策分析方法。基于充分考虑传感器布置优化的权重、差异阈值和偏好阈值的不确定性,利用信息熵在整个决策空间内对传感器的初始位置进行筛选再根据漏损监测目标,通过定义一组传感器布置优化准则,利用多准则决策分析方法对初始方案进行排序,得到顾及多组参数及不同偏好场景下各种初始方案的概率排序。为了验证该方法的适用性,采用基准测试管网k1模型开展仿真试验并比较了几种不同的偏好场景。结果表明所提出的方法能够适应顺序优先和最重要的优先顺序,而且能够对方案进行排序和成对比较,避免了使用“黑匣子”对传感器布置方案进行选择。
Accurate monitoring of leakage losses in water supply pipeline network is crucial for preventing water resource waste.This study proposes a multi-criteria decision analysis method to optimize sensor arrangement for monitoring the pipeline leakage loss.To address uncertainties in weights,difference thresholds,and preference thresholds in sensor arrangement,we used information entropy to screen initial sensor positions within the decision space.Based on monitoring objectives,we defined criteria for sensor arrangement optimization and applied the multi-criteria decision analysis method to rank the initial schemes.Taking into account multiple sets of parameters and different preference scenarios,we obtained the probabilistic ranking of the schemes.To validate the proposed method,we conducted simulation experiments using the k1 model of the baseline test pipe network and compared several preference scenarios.The results demonstrate that the proposed method effectively handles sequential priorities,rankings,and pairwise comparisons,avoiding the use of“black box”in selecting sensor placement scenarios.
作者
王莹
谭德宝
叶松
胡祖康
姚正利
WANG Ying;TAN De-bao;YE Song;HU Zu-kang;YAO Zheng-li(Spatial Information Technology Application Department,Changjiang River Scientific Research Institute,Wuhan 430010,China;Wuhan Smart Watershed Engineering Technology Research Center,Wuhan 430010,China;Changjiang River Scientific Research Institute,Wuhan 430010,China;Changjiang Eco-environmental Protection Group Co.,Ltd.,Wuhan 430062,China)
出处
《长江科学院院报》
CSCD
北大核心
2024年第9期178-184,共7页
Journal of Changjiang River Scientific Research Institute
基金
水利部重大科技项目(SKR-2022001)
国家重点研发计划项目(2019YFC0408805)。
关键词
供水管网
漏损监测
传感器优化布置
多准则决策分析
water supply network
leakage monitoring
optimal sensor layout
multi-criteria decision-making
