East Netherlands

East Netherlands

AI-based Process Control c/o ARMAC bv

(Geert Postma @ Radboud University)

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AI-based Process Control c/o S/PARK DEVENTER & Radbound University

NEED for AI:

It emerged the need a sustainable process control, development and upscaling, in combination with modern sensor based technology, such as NIR sensors. In particular:

  • improved process control including fault detection

  • process analysis and weaknesses detection

  • process optimization in view of sustainability

AI REGIO SOLUTION:

The solution will integrate machine learning and AI routines, possibly in combination with FIWARE or APACHE, in the test facility for process development and upscaling (S/park, Deventer), in order to promote the added value of these machine learning and AI routines in combination with all kinds of sensors for better and more sustainable process control for users of the test facility (SME’s), as well as, for the owners of the test facility.

EXPECTED BENEFITS:

  • energy consumption reduction

  • more efficient use of feedstock and less waste production

  • experience with AI technology in process monitoring for the users of the test facility, as well as the owners

AI-based Process Control c/o ARMAC bv (Geert Postma @ Radboud University)

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The experiment is related to the development of a sustainable optimized process control in combination with LCA in the chemistry sector. S/park, Deventer is a test facility for process development and upscaling of the East NL region for SME’s. This test facility is equipped with some basic process monitoring and control technology (sensors, software, etc.).

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NEED for AI:

Need of improved process control and industrial automation software by inclusion of:

  • machine learning and AI based process monitoring routines

  • process analysis and weaknesses detection routines

  • routines for Process optimization in view of sustainability

AI REGIO SOLUTION:

The solution will integrate machine learning and AI routines in operational process control and industrial automation software, for improved process monitoring, in order to promote the added value of these machine learning and AI routines in combination with all kinds of sensors for better and more sustainable process control.

EXPECTED BENEFITS:

Improve process monitoring and process efficiency.

 

Information source: airegio-project.eu

Project:

Enterprises:
airegio

Sector
AI

Keywords
Modelling & Simulation