Preventing Knowledge Loss, Securing the Future: The Role of Modern Technology in Maintenance – AI and Drone Technology in the Waste-to-Energy Plant
Using the latest technical measurement methods, especially by drones, which ensure quick and safe access even to parts of the system that are difficult to reach, it is possible to precisely collect data on the current status.
by Stefan Kiene, Susanne Kumm, Matthias Probst and Waltraud Engel
Waste-to-energy plants are facing major challenges: Demographic changes in management and the slow digitization of maintenance data are increasingly leading to impending gaps in knowledge about the condition of the plant. The use of modern technology can and should help. Using the latest technical measurement methods, especially by drones, which ensure quick and safe access even to parts of the system that are difficult to reach, it is possible to precisely collect data on the current status. In addition to visual data, 3D point clouds, wall thicknesses and layer thickness measurements can now even be carried out using the drone. Feeding the data obtained into the cloud-based software enables structured, digital access regardless of the user‘s level of knowledge and also facilitates search functions in historical data. Thanks to the use of artificial intelligence and the creation of a digital twin, it will even be possible to make predictions about the future condition of the system. Centralized data collection ensures the transfer of knowledge between generations and further develops modern maintenance in a future-oriented manner.
published: Abfallwirtschaft und Energie, Band 2, 1|2025
Keywords: Energy Recovery, Mixed Waste, Methods, Analyses, Data, Germany
Ten New Insights in Climate Science 2025
Waste-to-energy: How Europe can avoid sleepwalking into a landfill catastrophe and achieve net zero
Littering Behaviour in Multicultural Slums: A Case Study from Brazil
TWT in the Centre of Circular Economy – Roxyfuel for Energy-Saving CO₂ Delivery
Report on Experience in Dubai
Key E-Waste Statistics
First Release, Environment, Electrical and Electronic Waste
Waste electrical and electronic equipment (WEEE) collection rate (Indicator)
Extended Material Recovery from Municipal Solid Waste Incinerator Bottom Ash Using Magnetic, Eddy Current, and Density Separations
