Sensor Systems

11M0627

Master

German

5.0

only winter term

1 semester

Sensors as key components of mechatronics and data sources of computer science are often the innovation-determining elements of an overall system. The module focuses on the system and application character of sensor technology, with the levels ranging from the physical effect, electronics and system integration to data management and interpretation. The aspect of "big data" is often based on sensor (raw) data. New developments in practice are integrated through the inclusion of complex sensors as well as sensor and data fusion. The module has both a scientific and practice-oriented character due to the reference to extensive - also interdisciplinary and international - research work in the field of intelligent sensor systems. After completing the module, students will be familiar with the system-integrated approach to sensor technology, which can focus on both mechatronic and information technology aspects. Practical experience is gained through the three elements of laboratory experiments/advanced practical training, case studies and project work for the exemplary implementation of the concepts in practice.

1. Basics of practice-orientated sensor technology

2. physical sensor effects and basic technologies

3. sensor system technologies: electronics, embedded systems, interfaces, system integration, disturbance variables, data management, data interpretation

4. sensor systems in focus: theory, system integration and practice of specific sensor technologies (examples: 3D sensor technology, humidity sensor technology, spectral imaging, light shadow sensors).

5. intelligent sensor systems (imaging systems, sensor and data fusion, data management, sensor-actuator systems, human-machine interface)

6. sensor technology in application domains (examples: agricultural system technologies, automotive)

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• Homework / Assignment

• Field work / Experimental work

The experimental work is carried out in the form of an "advanced practical": In addition to the tasks set in the experimental instructions, students carry out a self-assigned task using the technologies of an experiment. For the case study as part of the experimental work, groups (approx. 5 students) are formed who coordinate a task themselves within the framework of limited attendance times and develop, document and present solution concepts using existing technological aids.

Fundamentals of physics, electrical engineering, programming and instrumentation

Basic knowledge of innovative concepts in sensor technology is acquired (e.g. complex sensors, sensor and data fusion, sensor networks).

1. Students are able to use tools (hardware and software) for the design and system integration of sensors.
2. Students who have successfully completed this module are able to systematically plan and implement a concept for experimental work and a project in a small team, present it to a larger group of students and answer critical questions.
3. Students are able to develop initial solutions to sensor technology issues in mechatronics and computer science on the basis of independent scientific work. Sensor systems are to be understood as a system technology with strong links to mechatronics, computer science, electronics and the human-machine interface; systems thinking is therefore firmly anchored in the subject.

Students who have successfully completed this module have in-depth specialist knowledge and practical experience of functionality, system technology, the integration of sensors and sensor systems in mechatronic systems, sensor data integration in data management systems and data interpretation.

As part of the term paper, students work on a topic in a small group. This involves practising internal cooperation as well as improving external communication of the results.

• Meltebrink, Christian

• Meltebrink, Christian