MPS 402-1 / MPS 402-1 R

MPS 402-1 / MPS 402-1 R

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Brief description
The MPS 402-1 training factory consists of the MPS 400 system modules Distributing Pro and Sorting Inline. The system modules are networked with the MES, equipped with RFID writing and reading devices and intelligent IO-Link®-based sensors, and form an autonomous system.

MPS 402-1 R contains a Robotino in addition to the system modules mentioned, and therefore expands the learning topics to include the field of mobile robotics and related topics in production.

Process
Processing in this training factory begins when a production order is entered by means of an intuitively designed MES user interface. The first station separates workpieces out of three fill level-monitored stacking magazines and then writes data onto the corresponding RFID tags. The next Sorting station distributes the workpieces into two slides or passes them on to additional stations downstream, according to the order and quality control.

The training factory can be divided into several parts, with Robotino then transporting workpieces as a mobile robot between the production cells (MPS 402-1 R).

IIoT retrofitting
An IIoT system based on a microcomputer and a webcam offers the students new perspectives for innovative business models by retrofitting existing industrial systems. Cutting-edge technologies and algorithms from the field of machine learning are used in the process.

Machine learning
As a subfield of artificial intelligence with a wide range of possible applications in production, machine learning is increasingly becoming a part of industrial practice. The course material focuses on the practical application of these kinds of algorithms without the need to introduce complex theory.

IO-Link® and OPC-UA
The students learn all about intelligent IO-Link®-based laser, ultrasound and capacitive sensors, get to know their advantages when compared with conventional sensors, and are then able to address, interpret, and service them and integrate them into production systems. The basic principles of Profinet and OPC-UA are also taught in addition to IO-Link®. This gives the students a solid introduction into the most important network-based protocols in automation environments.

Touch panel
The training system teaches how to program touch panels with a structured display of all relevant information. This involves not only the visual preparation of live data from the system, but also ways of controlling and interacting with the system.

Benefits

  • In addition to the basics of mechatronics and automation technology, you also get quick, simple, and broad access to the most important Industry 4.0 topics.
  • The high degree of modularity ensures a clear and manageable learning path made up of modules from stations through to a software-controlled training factory.
  • The modular design allows you to make changes and extensions to the mechatronic system independently as part of project work.
  • Comprehensive training documentation breaks down complex topics into small steps and learning units, allowing teaching to be designed in a structured yet flexible manner.
  • The didactic software environment surrounding an MES (Manufacturing Execution System) specially developed for didactic use provides easy access to complex software topics in the factory automation environment.
  • The learning process is supported by modern media such as QR codes and AR for provision of information as well as interaction with the learning system based on augmented reality.

Technical data

  • Operating pressure: 600 kPa (6 bar)
  • Power supply: 110/230 V / 50/60 Hz
  • Square/round workpiece dimensions: max. 40 mm
  • Max. dimensions (W x D x H): 1050 x 700 x 1705 mm

Course topics

  • Networking multiple stations, controllers, and I/O units with an MES-centered software environment via network-based protocols (OPC-UA, IO-Link®, Profinet, TCP-IP, Node-RED)
  • Programming industrial touch panels and familiarity with modern human/machine interfaces such as augmented reality and web interfaces
  • Familiarity with RFID and network technology as well as intelligent IO-Link®-based sensors
  • Learning about new business models using IIoT retrofitting by means of a webcam and micro computer as well as learning the use of machine learning algorithms
  • Production of customized products using production orders developed through an online store
  • Basic principles of mobile robotics in the production environment (MPS 402-1 R)

Type