Data pre-processor for wastewater treatment simulations

用于废水处理模拟的数据预处理器

• 批准号: 486235-2015
• 负责人: Xu, Changqing
• 金额: $ 1.82万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585475
• 关键词: Data; pre; processor; wastewater; treatment

Wastewater treatment processes are complex systems with many interconnected unit processes performing physical, chemical and biological transformations to achieve water treatment goals. Wastewater treatment process simulator is an essential tool for analyzing the performance of these complex systems and helps optimize goals. Wastewater treatment plant simulator can track the mass flows of various compounds and calculate conversion rates in unit processes to predict effluent quality, sludge production, oxygen and chemical demand, and other key process indicators in wastewater treatment plant. In a simulation study, one of the important steps is to collect and validate plant operational data. The need and importance of high quality data cannot be overlooked for performing high quality simulations. At present, most of the simulation studies are conducted using historical data from wastewater treatment plants. There is, however, growing interest in using real time data in wastewater simulators for operational decision support. The advancements in on-line sensors and sensor applications at wastewater treatment plants are producing large volume of data. To extend the applicability of simulators for operational support system, two issues related to data preparation needs to be resolved: 1) Improving data quality using advanced data cleaning; 2) Automation of data preparation. To address these issues, we will develop an automatic data cleaning tool which can be used in off-line or on-line in the proposed project.

废水处理过程是具有许多相互关联的单元过程的复杂系统， 物理、化学和生物转化，以实现水处理目标。废水处理 过程模拟器是分析这些复杂系统性能的重要工具， 优化目标。污水处理厂模拟器可以跟踪各种化合物的质量流量， 计算单元过程中的转化率，以预测出水水质、污泥产量、氧气和化学品 需求和污水处理厂的其他关键工艺指标。 在模拟研究中，重要的步骤之一是收集和验证工厂运行数据。的需要和 对于执行高质量的模拟，不能忽视高质量数据的重要性。目前， 大多数模拟研究都是利用废水处理厂的历史数据进行的。是的， 然而，在废水模拟器中使用真实的时间数据来支持操作决策的兴趣越来越大。 污水处理厂在线传感器和传感器应用的进步正在产生 大量数据。为了扩展作战支持系统仿真器的适用性， 需要解决的与数据准备相关的问题：1）使用高级数据清理提高数据质量; 2） 数据准备自动化。为了解决这些问题，我们将开发一个自动数据清理工具 其可在拟建项目中离线或在线使用。