Aspen IQmodel Powertools™

Empirical model-building environment for process applications

Aspen IQmodel Powertools is a data analysis and modeling environment that extends the functionality of Aspen IQ™ for developing models for Aspen Apollo™. It features model export options enabling these models to run in online APC applications⎯both indirectly via gain adaptation and inferential models, and directly via true nonlinear control. Aspen IQmodel Powertools is a core element of AspenTech’s aspenONE™ Advanced Process Control applications.

Features

  • Data Management: Data import from Microsoft® Excel or MATLAB
  • Data Manipulation: Data matrix management including combining data sets, variable transforms, re-sampling, removing or adding variables, and combining variables through calculations
  • Data Visualization: Data plotting including trending and scatter plots
  • Data Pre-Screening: Data cleaning through a variety of mechanisms including filtering, multivariate outlier detection, and manual cutting
  • Multivariate Analysis: Powerful multivariate statistical analysis for outlier detection and/or process monitoring applications (includes PLS, PCA, and highly interactive 2D/3D multivariate charts, Q/T2 Stats, Contribution Plots)
  • SPC Support: Q statistics allow users to view contributions from key variables over time to investigate which variables are causing the Q statistic to violate previously defined upper control limits
  • Cause and Effect Investigation: Correlation analysis for determining cause-and-effect relationships and for time-aligning data
  • Training/Testing Data Selection: Complete flexibility over data used for building and validating models
  • Regression: Support for a variety of regression model types including Multiple Linear Regression, SERVA analysis, Partial Least Squares, and Principal Components Analysis
  • Advanced Modeling: A variety of nonlinear model types including static or dynamic (first order Hammerstein) Gain Constrained models (Bounded Derivative Networks)
  • Nonlinear Controller Modeling: Capability to build and export Aspen Apollo models, which are gain-constrained general order nonlinear Wiener models with guaranteed bounds on the steady state gains (licensed separately with Aspen Apollo)

Benefits

  • Reduces the time and effort required to transform process data into suitable data sets for building empirical models
  • Simplifies the task of building model types whose structure and configuration are especially suited to online applications
  • Extracts steady state gain information from the online model and continuously updates the gains of an Aspen DMCplus® control model, allowing the Aspen DMCplus controller to be used across a wide range of operating regions
  • Greater model accuracy improves manufacturing operations by enabling better predictions of how the process will perform in the future

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