Adaptive, self-optimizing nonwoven production based on reinforcement learning
As part of our software solutions for automation, visualization and optimization of processes, we are also active in research
Supported by:
Federal Ministry of Education and Research (BMBF)
Funding code 01IS22002A
Status:
AdaNowo was successfully physically validated on a real machine in October 2024.
Thanks to everyone involved for their efforts.
Great achievements are only possible together.
We shape the digital future
An example of this is our research project AdaNowo. This improves visibility, minimizes energy consumption and reduces waste.
info@adanowo.com
+49 2364 5049012
www.adanowo.com
Our goals
The research goal is to economically optimize product changes and long-term process management in nonwovens production using an online-capable reinforcement learning algorithm.
MAT Solution is the network coordinator
and responsible for database interfaces, dashboards and marketing.
Other partners are:
RWTH Aachen University, Institut für Textiltechnik (ITA)
BNP Brinkmann GmbH & Co. KG, Hörstel
Dilo Spinnbau GmbH
AdaNowo as part of a simulation
Is the simulation of the process control and setting of the carded nonwoven production in integrated into a playful environment, then further optimization potential can be used.
Areas of application
- For training future specialists as a simulation environment that promotes learning
- To demonstrate the potential of systematic production data collection
- Validate intelligent production planning algorithms quickly and cheaply
Features of a simulation
- Interaction with simulated process
- Realism through the use of industrial data and ML
- Simulation cost dynamics
- Simulation quality (tensile strength, basis weight, process variation)
- Virtual production orders
Your contact persons:
Ruben Kins; Institut für Textiltechnik
Daniel Lötzbeyer; MAT Solutions GmbH
On-Premises or in the cloud?
AdaNowo can be operated locally or directly on the server (on-premises).
Alternatively, we also offer AdaNowo as a cloud solution from the well-known service providers Amazon Web Services (AWS), Microsoft Azure or Google Cloud, thus enabling global access to the data.
