综合下水道系统的智能控制使用PySWMM-A Python包裹用于EPA的风暴水管理模型
M E Tryby1, C A Buahin1, B E McDonnell2
1United States Environmental Protection Agency, Office of Research and Development, Andrew W. Breidenbach Environmental Research Center, Cincinnati, 45268, OH, USA.
概括
智能水系统使用自动控制来管理废水基础设施,减少综合下水道溢出. 开源工具PySWMM通过与Python集成来增强这些系统.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 计算式水力学 计算式水力学
背景情况:
- 废水公用事业在预算限制下平衡公共卫生和基础设施维护.
- 小到中型的公用事业公司经常面临严重的财务限制.
- 老化的基础设施需要超越传统升级的成本效益高的解决方案.
研究的目的:
- 介绍PySWMM,这是EPA风暴水管理模型 (SWMM) 的开源Python包装程序.
- 为智能水系统提供先进的实时控制策略.
- 为了证明PySWMM在减轻综合下水道溢出中的应用.
主要方法:
- 开发了PySWMM作为SWMM计算引擎的Python接口.
- 便利的运行时间交互来修改SWMM参数和控制模拟.
- 集成SWMM与Python的科学计算,大数据和机器学习库.
- 在真实世界的案例研究中应用PySWMM在辛辛那提和俄俄州哥伦布.
主要成果:
- PySWMM允许灵活的运行时间控制和SWMM模拟的参数修改.
- 该工具可以将先进的算法与已建立的水文和液压模型集成在一起.
- 案例研究表明,综合下水道溢流的减少显著.
结论:
- PySWMM提供了一个强大的开源解决方案,用于开发复杂的智能水控策略.
- 将PySWMM与Python的生态系统集成,有助于对废水系统的数据驱动优化.
- 像PySWMM这样的工具所支持的智能水方法在解决综合下水道溢出和改善水质方面是有效的.
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