Keßler, Pauline

Diploma Thesis:
2062

Topic:
Methods for Personalized Detection and Evaluation of Emission-Based Hazards

Editor:
Pauline Keßler

University Professor Responsible:
Univ.-Prof. Dr.-Ing. Dipl.-Wirt.-Ing. Jens Otto

Supervisor:
University Supervisor: Dipl.-Ing. Janik Mischke

Editing Period:
27.10.2025 until 02.03.2026

Abstract: 
Workers in the construction industry are exposed to emission-based hazards such as noise, vibration and UV radiation, the health effects of which depend on the intensity and duration of exposure. Monitoring is generally neither continuous nor person-specific. The aim of this work is to analyse existing methods and commercially available wearable systems for exposure monitoring, as well as to develop a concept for a PPE-integrated warning system. To this end, normative principles are examined, previous studies are reviewed, and existing systems are evaluated using a utility analysis. The results are used to derive requirements for person-specific real-time warning systems and to highlight existing shortcomings in current monitoring. Building on this, the ‘Bau-Sense+’ concept is developed, which enables continuous data collection and warning in the event of critical exposure and can contribute to improving occupational safety whilst taking into account standards, data protection and user acceptance.