Analysis of Data reconciliation techniques applied to a continuous stirred tank heater

Felipe Santana Santos, Leocarlos Bezerra da Silva Lima


The measurement of variables from an industrial process is of great importance in systems in which decisions are made based on these measurements, as in control systems. However, these measurements are always accompanied by errors, random or gross. This is not different in the process of water heating. An alternative for a greater reliability of the variables is the use of data reconciliation (DR). DR arises from the development of techniques for measurement and data storage. Its role is to ensure the consistency of data using the redundancy of the measurements and a statistical model of the measurements to increase its accuracy. This work investigates techniques for data reconciliation and its use in reducing the errors observed in measurements on a continuous stirred tank heater.


Random errors; Data reconciliation; Continuous stirred tank heater


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