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").
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").