贝叶斯的优化助推器消毒调度在水分网络的排放
Mohammadreza Moeini1, Lina Sela2, Ahmad F Taha3
1Ph.D. Student; Department of Civil, Materials, and Environmental Engineering; The University of Illinois Chicago; Chicago, IL 60607, USA.
Water research
|July 2, 2023
概括
贝叶斯优化 (BO) 有效地优化了水分网中的剂量. 这种方法使用BO与EPANET-MSX来确保满足水质标准,优于传统方法.
科学领域:
- 环境工程 环境工程
- 水处理技术水处理技术
- 计算流体动力学的流体动力学.
背景情况:
- 是全球饮用水的主要消毒剂.
- 优化剂量和增压器位置对于在整个配送网络中保持水质至关重要.
- 由于水质模拟要求,目前的优化方法是计算密集的.
研究的目的:
- 引入贝叶斯优化 (BO) 作为优化配送网络水质的有效方法.
- 开发一个基于Python的框架,将BO与EPANET-MSX集成,用于调度.
- 评估各种BO战略对水质管理的表现.
主要方法:
- 实现了一个Python框架,将贝叶斯优化与EPANET-MSX相结合,用于水质模拟.
- 利用高斯过程回归来构建BO的替代模型.
- 系统地测试了不同的获取函数 (例如,预期的改进) 和共变量内核 (例如,Matérn).
- 对BO参数进行敏感性分析,如初始点和勘探开发平衡.
主要成果:
- 证明了贝叶斯优化在优化水分系统中调度方面的有效性.
- 确定收购职能的选择对BO的业绩产生重大影响.
- 展示了Python框架的能力,以确保在优化过程中满足水质标准.
- 发现收购函数在BO性能上比共变性内核更有影响力.
结论:
- 贝叶斯优化为优化水分发网络中的消毒剂残留物提供了一个计算效率高的解决方案.
- 在这种情况下,选择合适的收购功能对于成功实施BO至关重要.
- 开发的框架为水利公司提供了一种有价值的工具,以提高水质管理和运营效率.
相关概念视频
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