At the Bauhaus University Weimar, extensive datasets are available in the fields of Structural Health Monitoring (Chair of Stochastics and Optimization, Prof. Dr. rer. nat. Tom Lahmer) and Environmentally Oriented Traffic Planning (Chair of Traffic System Planning, Prof. Dr.-Ing. Uwe Plank-Wiedenbeck). These data have been analyzed within already completed research projects with project-specific research questions. They include sensor data from prestressed concrete overhead line masts in a representative section of the railway line between Erfurt and Leipzig. Additional datasets provide information on traffic volume and flow, as well as supplementary environmental parameters of the urban area of Erfurt. For the analysis of this infrastructure and environmental measurement data, the development and application of intelligent methods are highly suitable, enabling, for example, the determination of the structural condition of overhead line masts. Furthermore, in urban areas, the automatic assessment of air quality is of interest to promote sustainability in urban living spaces. This requires powerful and efficient methods of automatic data analysis that can be universally applied to various case-based and real-world measurement data. Schmalkalden University of Applied Sciences has longstanding expertise in the research focus of Adaptive Signal Analysis (Chair of Technical Informatics, Prof. Dr.-Ing. Andreas Wenzel), where efficient methods for automatic data analysis have been developed. In addition to classical analysis methods, machine learning approaches are applied and optimized in a data-driven manner. Within the research activities implemented in the joint project, the methodology will initially be expanded to incorporate prior knowledge and ensure interpretability in decision-making. Overall, the available datasets will be analyzed in close collaboration using this methodology, leading to a significant increase in expertise in data analysis within the participating disciplines, particularly among early-career researchers. This project thus lays the foundation for a new scientific collaboration between the Bauhaus University Weimar and the Schmalkalden University of Applied Sciences.

Bauhaus University Weimar (BUW)
Faculty of Mechanical Engineering Prof. Dr rer. nat. Tom Lahmer
Faculty of Mechanical Engineering Prof. Dr.-Ing. Uwe Plank-Wiedenbeck

Schmalkalden University of Applied Sciences (HSM)
Faculty of Electrical Engineering Prof. Dr.-Ing. Andreas Wenzel

Prof. Dr. rer. nat. Tom Lahmer
tom.lahmer@uni-weimar.de

Prof. Dr.-Ing. Andreas Wenzel
a.wenzel@hs-schmalkalden.de

• Runtime: 1st September 2022 - 31st August 2025
• Third-party funder: BMBF / (FKZ: 16DKWN078B)
• Funding amount: 302.441,56 Euro
• pdf (german): InMeA - Intelligente Methoden zur automatischen und nachvollziehbaren Analyse umfangreicher Infrastruktur-, Verkehrs- und Umweltmessdaten