SMACS – Maintenance of Rail HVAC Systems
Methodology
As part of SMACS, new machine learning methods and artificial intelligence techniques are being developed together with digital twins. These technologies enable predictive diagnostics of HVAC systems, thereby improving the reliability and efficiency of operations.
Additionally, existing maintenance processes are being digitally connected and integrated into a smart maintenance planning system. For this purpose, current maintenance practices were analyzed, frequently occurring errors were identified by examining failure reports and expert interviews were conducted.
To ensure the best alignment of requirements and interfaces, leading companies are directly or indirectly involved in the project, as shown in the following graphic.