提高效率和质量控制:数字双胞胎对饮用水网络的影响
Sergi Baena-Miret1, Marta Alet Puig1, Rafael Bardisa Rodes1
1Cetaqua, Barcelona, Spain.
概括
数字双胞胎增强了饮用水网络管理. 原型可以以70%的准确度预测故障,并预测三甲水平,改善水质控制和公共卫生保护.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 数据科学数据科学数据科学
背景情况:
- 饮用水网络需要高效的资产管理和严格的质量控制.
- 数字双胞胎技术为优化水基础设施运营提供了潜力.
研究的目的:
- 为巴塞罗那的饮用水网络开发和实施数字双胞胎原型.
- 通过预测能力来加强资产管理和水质监测.
主要方法:
- 开发了一个数字双胞胎原型,用于使用实时数据和统计模型进行资产管理.
- 创建了第二个数字双胞胎原型,用于使用机器学习算法监测水质.
- 专注于预测站故障和三甲 (THM) 水平.
主要成果:
- 在137天前预测站故障方面取得了70%的成功率.
- 在关键分布点准确预测三甲水平.
- 证明了主动水质管理和合规的潜力.
结论:
- 数字双胞胎可以显著提高饮用水网络的效率和可靠性.
- 开发的原型提供先进的预测性维护和水质预测.
- 这项工作有助于推进数字双胞胎在水资源管理和公共卫生保护方面的应用.
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