Sensor-based data reconciliation method and application to the pilot plant.

スポンサーリンク

概要

• 論文の詳細を見る

• It is usually difficult to estimate process parameters used in digital simulation because online data from chemical plants include errors. To improve the reliability of data, this paper proposes a data reconciliation method based on direct use of the measured variables, called SEBDARM, instead of the conventional method with balanced variables. The new method is applied to a pilot plant and its validity is discussed by use of experimental data and simulation. As a result, the following conclusions were obtained.<BR>1) On-line data can be adjusted satisfactorily by SEBDARM.<BR>2) It is easy to investigate the necessity of calibration of each sensor because there is one-to-one correspondence between measured variables and reconciled variables.<BR>3) The reconciled data are not influenced by the numbers of reduced balance equations, so we can attempt to observe variables corresponding to some purpose by using the minimum number of balanced equations.<BR>This method can be utilized to observe the change of parameters and the state of the operation.

• The Society of Chemical Engineers, Japanの論文

著者

• Naka Yuji

  Research Laboratory Of Resources Utilization Tokyo Institute Of Technology

• Takiyama Hiroshi

  Research Laboratory of Resources Utilization, Tokyo Institute of Technology

• Adriani Arif

  The Agency for the Assessment and Application of Technology (BPPT)

関連論文

• MULTI-MODEL CONTROL OF A DISTILLATION SYSTEM USING FUZZY RULES
• Mathematical Problems in Fitting Kinetic Models - Some New Perspectives
• Extraction of lower carboxylic acids from aqueous solution by tri-n-octylamine.
• Sensor-based data reconciliation method and application to the pilot plant.

スポンサーリンク