Aspen Inferential Qualities
Create and deploy online inferential sensors
Aspen Inferential Qualities enables modeling and implementation of inferred product qualities, and makes it possible to implement linear or non-linear inferential sensors on-line. Inferential sensors are fundamental elements of many advanced process control systems. Key parameters (such as naphtha 95% point and polymer melt index) are often inferred rather than directly measured. Aspen Inferential Qualities is a core element of AspenTech’s aspenONE® Advanced Process Control applications.
Features
- On-line features
- Built-in steady-state detector
- Detector can be stand-alone or integrated with Aspen DMCplus® and Aspen InfoPlus.21®
- Provides both analyzer and lab model updating
- Wide range of DCS and information system interfaces available
- Enabled for remote monitoring
- No code generation or programming required
- Off-line features
- A broad suite of tools for developing inferential sensors: PLS, fuzzy PLS, neural-network, and linearized rigorous-model-based approaches
- Graphical Analysis Tools for Model Evaluation
- Model building tools such as variable selection, dead-time detection, and dynamics analysis
- Prediction libraries allow for future expansion (e.g., with process-specific models)
- Data pre-processing features
- Supports multiple files
- Allows graphical and numeric cutting of bad data
- Allows interpolation for replacing bad or missing data
- Allows averaging of training data to support cumulative lab samples
- Supported Model Types
- Linear PLS
- Fuzzy PLS
- Hybrid Neural Net (HNN)
- Linearized Rigorous Models
- Algebraic and FIR Models
Benefits
- Validates instrumentation and provides early detection of drift or malfunction
- Augments or replaces physical instrumentation for process measurements
- Improves control by providing feedback between lab samples
- Reduces lab costs
- Improves models via software-assisted variable selection