Alanda

Gain Insight into Process Behavior

Tasks such as troubleshooting and improving process performance often start with gaining insight into process behavior. Use our tool Alanda to easily identify normal and abnormal operating conditions.

Based on wavelet algorithms Alanda supports:

• reading data from various sources (Excel, Matlab, PIMS, OPC),
• PIMS compression tuning,
• data preprocessing (outlier detection, removal of non-valid values),
• denoising data,
• screening of operation periods, and
• finding trends (like drift) or steady states.

Improve Model Development

Preprocessing data is important to develop high quality models.

• Directly export results to desired applications.
• Remove dynamic artefacts to improve data-driven models.
• Use reliable steady states for data reconciliation and rigorous models.
• Specify and simulate models with the recently developed modelling plug-in of Alanda. It is based on the MEXA-Toolbox developed at Aachener Verfahrenstechnik (AVT), RWTH Aachen University.

Optimize Online

Identifying steady states is a critical step in applying optimization technology on a running process. Alanda can directly connect to an OPC server and automatically send steady states to your optimizer.

Software platform

Alanda is based on a prototype developed at Process Systems Engineering (AVT.PT, formerly LPT). It is fully integrated with the Windows operating system and provides interfaces to important tools and standards such as MS Excel, Matlab, or OPC. Alanda is an open platform that provides the possibility to easily include custom specific algorithms based on a plug-in concept.

Further applications

We provide expertise and support related application areas such as:

• PIMS compression tuning,
• analyzing process potential, or
• drift detection (catalyst deactivation, fouling),
• incremental modelling.