Praktikum Industrie 4.0Industry 4.0 Laboratory

Industry 4.0 Laboratory (Summer Semester 2017)

Lecturer (assistant) Eckehard Steinbach, Klaus Diepold, Martin Maier, Mikhail Vilgelm, Andreas Herkersdorf, Wolfgang Kellerer, Bernhard Seeber, Georg Sigl, Christoph Bachhuber, Michael Zwick, Andreas Oeldemann, Samuel Clapp, Mathieu Gross
Audience see TUMonline
Teaching language German
Semester weekly hours
Scheduled dates see TUMonline
Registration see TUMonline

Course criteria

Objective (expected results of study and acquired competences)

After the laboratory course students:
- are able to use a rapid prototyping tool based on Simulink to record, process and return signals in real time,
- understand effects of delay and jitter in communication networks
- create and analyse meaningful measurement series
- understand performance and flexibility of different packet switching node implementations
- understand origins of delay in video transmission
- implement a video delay measurement system
- remember RFID systems
- apply cryptographic algorithms and security-relevant concepts
- explain fundamental steps of 3D-printing and identify and classify disturbances
- able to create auditory displays for human-machine interaction and understand their benefits
- understand principles of virtual acoustics


The practical module teaches fundamental methods of communication related to Industry 4.0 applications across 6 topical elements, each taught by a different member of the CoC Communication. In personal study of written material students prepare for each practical course where they will receive a hands-on practical tutorial in the following topics:
1) Students learn how to implement visually controlled 3D printing using the FDM procedure and suppressing external disturbances
2) Students learn about the realisation of packet switching nodes in software as well as in hardware. The versions are evaluated in terms of flexibility, throughput and latency.
3) The students analyse the influence of quality of service parameters like delay on the control quality of an inverted pendulum.
4) Students create a control environment for an Industry 4.0 printing factory. Printer status messages are displayed visually and in an auditory display. Network delay and jitter are made audible using virtual acoustics.
5) RFID-Chips containing encrypted sensitive assembly parameters are attached to workpieces. The students will implement and evaluate cryptographic algorithms and evaluate security convepts.
6) The students will set up a delay-optimized video transmission system and a delay measurement system. They will use the latter to evaluate the video system.

Previous knowledge expected

Recommended previous lectures are: Signaldarstellung, Messsystem- und Sensortechnik, Regelungssysteme, and Kommunikationsnetze.

Teaching and learning method (delivery of skills)

Preparation of the experiments using the script. Short introductions by the supervisors. Conduction of the experiments based on the instructions in the script and recommended literature in groups of two students. Supervision during contact hours.

Assessment (exam method and evaluation)

The students get the ability to implement, measure, analyze and evaluate:
(a) Real-time applications in packet switched networks,
(b) Packet switching nodes in hardware and software,
(c) Delay in video transmission systems,
(d) Reliability and security in data networks,
(e) Auditorial displays and
(f) Fused deposition modelling (FDM) and 3D printing interference suppression.

The laboratory work consists of preparation, execution of the experiment and data analysis.
A written summary is mandatory.
The final grade is the mean of the 6 individual grades.


Entsprechende Literatur wird separat bei jedem Versuch angegeben.


rendered: 2017-09-19 12:51:25