通过一种新的确定性传感器放置方法,提高城市下水道网络的流入和透检测
Yuling Wu1, Feifei Zheng1, Yongfei Yang2
1College of Civil Engineering and Architecture, Zhejiang University, China.
Water research
|October 15, 2024
概括
一种新的确定性方法优化了城市下水道网络 (USN) 中的传感器放置,以检测流入和透 (I&I). 与现有方法相比,这种方法可提高7-15%的检测可靠性.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 网络优化 网络优化
背景情况:
- 流入和透 (I&I) 显著影响城市下水道网络 (USN) 的运行.
- 最佳的传感器放置对于可靠的I&I事件检测至关重要,但仍然具有挑战性.
- 现有的基于启发式搜索的方法 (HSBM) 产生了可变的传感器放置策略 (SPS).
研究的目的:
- 开发一种基于信息的新决定性的两阶段集群方法,以优化基于信息的SPS.
- 提高USN中I&I事件的检测可靠性.
- 为工程应用提供一致和最佳的SPS.
主要方法:
- 一个两阶段的集群方法,利用基于联合的光谱集群.
- 整合拓结构属性,以提高聚类和可靠性.
- 通过最大限度地提高关节来优化SPS,以便在选定的集群中分配传感器.
主要成果:
- 在关节和SPS检测可靠性之间发现了强烈的相关性 (R > 0.95).
- 拟议的方法实现了比两个HSBM高7-15%的检测可靠性.
- 开发的方法在确定性上提供了最佳的SPS,优于HSBM.
结论:
- 新的决定性两阶段集群方法为USN中的SPS优化提供了卓越的性能.
- 信息是实现高I&I检测可靠性的关键因素.
- 这种方法为实际的工程应用提供了可靠和一致的解决方案.
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