With the help of sensor-based process control, fully automatic monitoring and control of treatment processes can be carried out. Monitoring is carried out by continuously analysing material flows using sensor technology (real-time analysis). In recent years, advances in the field of multi-sensor technology and the use of machine learning methods have contributed to an expanded range of applications and a greater scope of characterisation. Depending on the technology used, each object in a material flow can be individually detected and characterised by sensors.
Continuous monitoring makes it possible, for example, to detect quality changes in the output of a plant in real time (e.g. an increased chlorine content in the production of secondary fuels); AI-supported control of the processing technology can be used to react to this by adjusting the settings of the individual units. Sensor-based process control thus represents a key technology in the transformation of waste management towards a digitalised closed-loop economy and thus creates the basis for significant increases in quality and efficiency in the context of waste processing.