一种基于图形信号分析的通用方法,用于在水分网中最佳放置压力传感器
Xiao Zhou1, Xi Wan2, Shuming Liu3
1College of Civil Engineering, Hefei University of Technology, Hefei, China.
Water research
|September 6, 2024
概括
一个新的基于图形的最佳传感器放置 (GOSP) 框架为水分网 (WDN) 提供了一种多功能解决方案. 这种方法优化了多个目标的传感器位置,改善了各种应用中的压力监测.
科学领域:
- 液压工程 液压工程 液压工程
- 水资源管理 水资源管理
- 网络优化 网络优化
背景情况:
- 在水分网 (WDN) 中,最佳的传感器放置对于各种应用,如泄漏检测和模型校准至关重要.
- 现有的方法往往专注于单一目标,缺乏用于多用途压力数据利用的多功能性.
- 需要一种强大而通用的方法来确定关键压力监测点.
研究的目的:
- 提出基于图形的多功能最佳传感器放置 (GOSP) 框架,用于识别WDN中的关键压力监测点.
- 开发一种优化多个目标的传感器位置的方法,确保与各种应用场景的兼容性.
- 为 WDN 中的压力监测提供一种强大而通用的方法.
主要方法:
- 开发了一个基于图形的最佳传感器放置 (GOSP) 框架.
- 分析WDN压力的空间变化频率,以建立测量-全球压力关系.
- 采用D-最佳性标准,从测量中最大限度地获取空间压力分布的信息.
主要成果:
- 拟议的GOSP方法应用于现实生活中的分销网络.
- 与专注于破裂检测和管道粗度校准的方法进行了比较研究.
- 在各种场景中证明了有效性和稳定性,包括未知压力估计,爆破检测和模型校准.
结论:
- 拟议的GOSP框架为WDN中最佳的传感器放置提供了一个强大而通用的解决方案.
- D-最佳性标准有效地最大化了多用途压力监测的信息获取.
- 该方法在现实世界WDN中的各种应用中被证明是有效和稳健的.
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