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Structural redundancy of data from wastewater treatment systems. Determination of individual balance equations

机译:来自废水处理系统的数据的结构冗余。确定个人平衡方程

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摘要

Although data reconciliation is intensely applied in process engineering, almost none of its powerful methods are employed for validation of operational data from wastewater treatment plants. This is partly due to some prerequisites that are difficult to meet including steady state, known variances of process variables and absence of gross errors. However, an algorithm can be derived from the classical approaches to data reconciliation that allows to find a comprehensive set of equations describing redundancy in the data when measured and unmeasured variables (flows and concentrations) are defined. This is a precondition for methods of data validation based on individual mass balances such as CUSUM charts. The procedure can also be applied to verify the necessity of existing or additional measurements with respect to the improvement of the data's redundancy. Results are given for a large wastewater treatment plant. The introduction aims at establishing a link between methods known from data reconciliation in process engineering and their application in wastewater treatment.
机译:尽管数据协调在过程工程中得到了广泛应用,但几乎没有一种强大的方法可用于验证废水处理厂的运行数据。部分原因是一些先决条件难以满足,包括稳态,已知的过程变量方差和不存在严重误差。但是,可以从经典的数据协调方法中得出一种算法,当定义了测量变量和未测量变量(流量和浓度)时,该算法允许查找描述数据冗余的全面方程组。这是基于单个质量平衡(例如CUSUM图表)的数据验证方法的前提。该程序还可以用于验证关于数据冗余性改进的现有或附加测量的必要性。给出了大型废水处理厂的结果。导言旨在建立过程工程中的数据协调已知方法与废水处理应用之间的联系。

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