How to handle?

These learning modules address VET students, teachers and trainers in the fields of mechatronics, electronics and IT who are interested in digitalized and customer oriented production and services in industry 4.0 respectively working world 4.0.

Without high investments in the equipment, the modules make familiar with several tasks of the working world 4.0 and they cover different areas, too: the internet of things, individualized mass production, additive manufacturing and smart home.

The modules are exemplarily for different technical fields, they can be expanded and upgraded.

All modules are structured according the model of the complete action and are project oriented. The user can follow step by step the sequences which you can find in the vertical axis.

Under Content / Material you can click the buttons and will find links to the necessary material for the implementation.

The modules for VET students are most suitable for blended learning but can be used also for self-learning. More detailed information you will find under the button Key Questions.


Learning Modules for students

Plant Irrigation covers a wide variety of Industry 4.0 technologies. This module integrates in a real project different steps and skills very demanding in the working world 4.0. Within this project students of telecommunications installations and  microcomputer systems learn how to develop intelligent real time plant irrigation controlled by web or mobile (manually or automatically). The student module is subdivided in 5 integrated submodules:

Electronics, Linux operating system and sensors data exchange, Real time Database, Hybrid Application, Statistics.

You will find more information here.

Students of electronic face the challenge to be able to plan, install and maintain the intelligent house 4.0 which is promoted already for several years. In this module by a simple device possible tasks of electricians and electronic technicians in the craft sector can be simulated. A simple assembling board (e.g. a wall made of wood or chipboard or similar materials) shows the structure of a small building. Various smart home components (sensors, actuators, control unit, … ) could be mounted on both sides of the assembling board. On one side you can mount “inside” components, such as lights, switches e.g. and on the other side “outside” components such as doors, windows, video-camera etc. Thus a variety of tasks can be planned and implemented.

You will find more information here.

This module is characterized by the fact that a trolley chip assembly machine is envisioned to be constructed, manufactured, built, programmed and used by students of interdisciplinary training courses themselves. This distinguishes it from the work with I4.0 training stations which are on the market available.

You will find more information here.

Due to digitalization it is possible to produce common mass products considering individual demands. In this module you will learn how to set up and operate a digital production chain for simple, customizable, die-cast plastic objects. Customers will have the greatest possible control in the online design and indivdualization of the product which increases the product’s value. The entire production chain is documented clearly in digital form for the customer.

You will find more information here.

The design of an intelligent LED sign makes it possible to deal with a large number of Industry 4.0 technologies. In addition to creative and planning aspects, which are becoming increasingly important in the working world, the students gain an insight into the application of microcomputer systems, their connection with the real and virtual world.

To capture the real world we promote an understanding of the use of sensors, networking with the virtual world is done using WIFI standards and typical Internet of things technologies such as the MQTT.

The students design an LED sign, realize the setup and program the control, which can also be controlled by integration into the Internet via a smartphone.

Electronics, sensors and data exchange, protocols of the IoT (MQTT), programming.

You will find more information here.