Plant technology 4.0 in the treatment of waste
Erzeugung von Wasserstoff aus Abfällen - ein Bereich innerhalb von Sustainable Eco
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Plant technology 4.0 in the treatment of waste

In the course of the digitalisation of the circular economy, the topic of "artificial intelligence" is becoming increasingly important. In contrast to other industrial sectors, however, the circular economy is still at the beginning of the transformation towards a "circular economy 4.0". The integration of AI can be expected in the future, among other things, in the area of the "Smart Waste Factory Network". This system includes, for example, waste treatment plants (e.g. sorting plants, refuse-derived fuel production plants) in which treatment processes and machines are "intelligently" networked with each other (e.g. sensor-based systems and treatment units). Among other things, digital networking enables dynamic process control, which can increase the productivity of the plant and significantly improve the quality of the treatment products. Efficient structuring, analysis and evaluation of the large amounts of data generated in this process (especially sensor data) can be realised with the help of AI or machine learning methods (e.g. "deep learning").

Plant technology 4.0 in the treatment of waste

In the course of the digitalisation of the circular economy, the topic of "artificial intelligence" is becoming increasingly important. In contrast to other industrial sectors, however, the circular economy is still at the beginning of the transformation towards a "circular economy 4.0". The integration of AI can be expected in the future, among other things, in the area of the "Smart Waste Factory Network". This system includes, for example, waste treatment plants (e.g. sorting plants, refuse-derived fuel production plants) in which treatment processes and machines are "intelligently" networked with each other (e.g. sensor-based systems and treatment units). Among other things, digital networking enables dynamic process control, which can increase the productivity of the plant and significantly improve the quality of the treatment products. Efficient structuring, analysis and evaluation of the large amounts of data generated in this process (especially sensor data) can be realised with the help of AI or machine learning methods (e.g. "deep learning").

Plant technology 4.0 in the treatment of waste Plant technology 4.0 in the treatment of waste
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Funding opportunities:

Contact

IWARU at Münster University of Applied Sciences
Resources Working Group
Max Kölking M. Sc.
max.koelking@fh-muenster.de

Funding database

An overview of various funding programmes is provided by the database of the federal government, the federal states and the European Union:Funding database