一个低成本的软传感器用于下水道流量监测 - - 从人体洞的水位测量中学习
Ruozhou Lin1, Ruihong Qiu2, Lihan Hu3
1School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China.
Water research
|January 16, 2025
概括
本研究引入了一种具有成本效益的软传感器,使用多层感知器 (MLP) 模型来估计水位数据的下水道流量. 这为传统流量计提供了更便宜,更耐用的替代品.
科学领域:
- 环境工程 环境工程
- 液压工程 液压工程 液压工程
- 人工智能在水资源管理中的应用
背景情况:
- 在下水道系统中,传统的流量计是昂贵的,需要经常维护,阻碍了大规模部署.
- 精确的流量监测对于有效的下水道运行和管理至关重要.
- 现有的监控解决方案在现实世界下水道环境中面临成本效益和耐用性方面的挑战.
研究的目的:
- 开发和验证一个具有成本效益的软传感器,用于通过水位测量来估计下水道流量.
- 探索多层感知器 (MLP) 模型的应用,以实时估计人洞的流量.
- 为下水道基础设施提供传统流量计的可行替代方案.
主要方法:
- 使用多层感知器 (MLP) 模型开发了一个软传感器.
- 通过使用时间序列水位数据和相应的流量测量来训练MLP模型.
- 数据来源于使用计算流体动力学 (CFD) 的三个真实的人口洞和一个模拟的人口洞.
主要成果:
- 经过训练的MLP模型在测试阶段对所有数据源的估计流量表现令人满意.
- 模拟表明软传感器对噪声和偏差在水位和流量测量的强度.
- 软传感器准确地估计了流量,验证了其实际应用的潜力.
结论:
- 拟议的软传感器由MLP模型提供动力,为下水道流量监控提供了一个有希望的,具有成本效益的解决方案.
- 这种方法比传统的物理流量计提供了更耐用和更经济的替代方案.
- 该技术有可能显著提高效率并降低下水道运营和管理的成本.
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