Digitization for Industry 4.0

Transforming Machine-to-Machine Communication Into a Networked Factory

Participants develop an understanding of the challenges of heterogeneous production environments and learn about basic technologies for digital networking. In addition, they acquire the basics of information modeling and can apply them in production by means of interface technologies.

Course Content

▶ Communication for the Internet of Things
▶ Interface standards for machine-to-machine communication
▶ Publish-Subscribe solutions with the networking standards DDS and MQTT
▶ Information Modeling and Information Management in Production Networks
▶ Case study: Data Integration and Real-Time Optimization

Group of Participants
Engineers from the area of mechanical engineering and/or electric engineering with fundamental knowledge of communication in computer networks

Motivation
Networked production creates interoperability between formerly proprietary, separated systems. With continuous communication between the elements of a production network, intelligent, self-learning and self-regulating systems are generated which autonomously optimize themselves based on current sensor technology. Efficient processing and analysis of data allows companies to respond to changed framework conditions in nearly real time and to adaptively adjust their production processes.

Methodology
The course takes place on five consecutive days and ends with an exam. Course content is developed and consolidated in interactive lectures, group work, presentations and case studies.