Demonstrator

KILEAN - Learning and Applying Artificial Intelligence

KILEAN is a teaching and transfer system

For the understanding and development of AI-based applications, suitable, complex application scenarios are required with which development and testing can be carried out.

KILEAN provides as a teaching and transfer complex value creation process, prepares foreseeable trends for teaching, research and transfer and creates a corresponding teaching platform.

This practical presentation of Ki-based applications in a modern production environment enables the sustainable and long-term education and training of tomorrow's skilled workers. KILEAN plays a central role in the interdisciplinary training of AI specialists and strengthens cross-system AI application competencies.

Topics include autonomous driving, image processing, process optimization (initial logistics, operational production, marketing or sales) and human-machine interaction, which examples can be tested. The system shows various sensor systems, product variations such as different coloured containers, variations of the bulk material such as corn, millet, balls alias tablets, individual components (cubes in different colours and shapes); packaging including cardboard boxes to be folded, labelling and storage in small load carriers for shipment of the products from incoming orders via product merging, heat treatment, quality assurance and delivery.

In addition, AI use cases in the areas of infrastructure, human resources and technology development can be used. A test platform for the application of data-driven methods, such as from the field of deep learning, machine learning or even for expert systems is made possible by a smart AI infrastructure. For self-sufficient operation, various driverless transport systems support the transport of the components between the individual systems. The modular design allows different work plan sequences as well as location changes for further experimentation and processing installationen.

Using the example of the system, a production plant for processing bulk materials is depicted, which is equipped with a Manufacturing Execution System (MES), a web shop and energy measuring boxes. Based on the open source approach and open interfaces and communication protocols such as OPC-UA, Node-Red, MQTT as well as various databases a wide variety of approaches for data processing, for example for AI applications, can be picked up or tapped into. With its 18 stations, the system itself represents an extensive and complex development environment and thus represents the scope of a classic company by means of matrix production.

Kilean systems mediate operation of systems during commissioning, defects or for regular maintenance, servicing and assembly processes. Fear of contact with such complex systems can thus be reduced. In addition, the system also records long-term data sets for new AI applications, so that future synergies can be created and worked out.

Technologies: artificial intelligence, autonomous driverless vehicles, machine learning, forced learning, digital partnerships, visualization of process data, RFID, robotics.

Where can you get to know this demonstrator?
Hub Wildau. At the Technical University Wildau
Technical University Wildau; Hochschulring 1; 15745 Wildle

Demonstrator

Automatization of processes with the Wildau Smart Testbed

Fully automated production line as learning and test environment for digital solutions

The Wildau Smart Testbed (WST) is a fully automated production line, including logistics and picking robots. Serving as learning and testing environment for digital solutions it aims to streamline processes. The modular structure of the Testbed allows for easy learning and testing experiences, and the system can be scaled up to form a complex network with other systems in a factory environment.

The WST offers a variety of test and presentation options for development companies, PLC manufacturers, as well as production companies which are considering automating their product lines. The use of mechatronics, robotics, sensor technology, pneumatics, and drive technology, among others, provides insights into possibilities of a fully automated and intelligent production line.

The Testbed also features various drives, motors, and pneumatic cylinders that can be controlled in combination with the system, as well as different sensor technologies like lasor or color sensors for various test tasks. Handling components such as vacuum switches, pressure switches, and pneumatic muscles are used to assemble and ultimately, the WST's manufacturing execution system (MES) generates customer-specific orders, monitors the processes, and derives production key figures.

Technology: Mechatronics, robotics, mobile robotics, sensor technology, pneumatics, drive technology, commissioning, communication technology, HMI visualization, automated guided vehicles, digital twin technology, AR, energy monitoring, Scada-system

Where can you access this demonstrator?
Hub Wildau. At the University of Applied Sciences Wildau
Technical University of Applied Sciences Wildau; Hochschulring 1; 15745 Wildau

Dipl.-Ing. J. Philipp Städter

Philipp’s expertise includes technical implementation of industrial control systems, industrial robotics (UR, KUKA), communication infrastructure and CNC programming. His latest projects focused on 5G and intelligent vision systems integration.

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ai4europe

AI4EU: Building the European AI On-Demand Platform AI4EU is the main initiative funded by the European Commission to create a supportive platform for European organizations to share AI knowledge and bring together AI research experts to support innovation and technology transfer to SMEs. As a Supportive Partner of AI4EU, TH Wildau promotes knowledge exchange between AI experts and AI recipients, supports the use of the platform and provides access to funding opportunities.

 

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