Lecture Material-integrated Sensorial Systems


Uni Bremen: VAK 04-326-FT-041
Category: Lecture+Lesson, 4 SWS
Master Course
ECTS: 6, Winter Semester
University of Bremen
Lecturer: PD Dr. Stefan Bosse

Participation in the event is intended to provide students with interdisciplinary system-oriented access to the modeling, design and application of material-embedded or material-applied sensory systems that, due to their technical implementation and application, place special demands on data processing Understanding the overall system (including aspects of materials science and technologies). These new sensory materials are found eg. B. in robotics (cognition) or in production technology for material monitoring application.

Def.: Sensory materials consist of a carrier material, that cab represent a mechanically supporting structure, and from embedded sensor networks that integrate not only sensors but also electronics for sensor signal processing, data processing, communication, and communication and power supply networks.

The following competences should be acquired:


  1. Introduction to the topic, what is sensor technology, why and what material-integrated sensors, sensory materials,
  2. Applications in structural monitoring and robotics
  3. System level and system development, requirements, design methodologies, test & simulation, standards and standards
  4. Basics of sensors and electronics, sensor and electronics development for material integration (resistive - capacitive - piezo-res. and piezoelectric - optical sensors)
  5. Sensor networks and sensor nodes, basics, metrics, development
  6. Interfaces Technologies: Material - Sensor - Electronics - Systems (Networking)
  7. Signal and data processing in sensor networks (node ​​level)
  8. Communication in sensor networks (network level); Wireless Versa Wired Connection Technologies, Robustness, Fault Tolerance, Message-Based Switching and Routing
  9. Energy supply and management in material-integrated sensor networks and energy generation (Harvesting)
  10. Applications (robotics, structure monitoring, etc.)