Artificial Intelligence in Automation

HiFlecs: Hochperformante, sichere Funktechnologien und deren Systemintegration in zukünftige industrielle Closed-Loop‐Automatisierungslösungen

Prof. Dr.-Ing. Uwe Meier , Prof. Dr.-Ing. Jürgen Jasperneite
01.02.2015 bis 31.07.2018

Future industrial plants will be characterized by complex ad hoc networking of sensors and actuators, machines, and control and regulation units. Radio communication has long been identified as a problem solver for this networking in industrial automation. However, current wireless solutions such as ZigBee, Bluetooth, WirelessHart or WLAN do not meet the high requirements for real-time capability and determinism for use in highly dynamic control engineering applications. To achieve a breakthrough in the application of radio communication in manufacturing plants with high demands on timing and error behavior, a coordinated and consistent design of the communication layers of the radio system is required. A particular challenge is to provide an adequate communication infrastructure for the requirements of flexibility, modularity, mobility and dynamics addressed in the future project Industrie 4.0. In addition, efficient industrial radio communication can open up completely new automation concepts and areas of application.
The aim of this project is to develop innovative technologies for a new industrial radio system that offers new functionalities and properties in radio communication far beyond the current state of the art, for example for new real-time control applications.

This project is promoted by:
VDI/VDE Innovation + Technik, Bundesministerium für Bildung und Forschung (BMBF)
Funding Code: 16KIS0266
Funding Lines: Zuverlässige drahtlose Kommunikation in der Industrie
Stakeholders / Contacts: Dimitri Block, M. Sc.
Employees: Dimitri Block, M. Sc., Dr.-Ing. Lars Dürkop, Dipl.-Ing. Arne Neumann
Yashar Naderpour, Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier
Evaluation of Deterministic Medium Access Based on a Cooperative Cognitive Radio Approach
In: The Fifth International Conference on Advances in Cognitive Radio - COCORA 2015, May 2015
Dr.-Ing. Lars Dürkop, Prof. Dr.-Ing. Jürgen Jasperneite, Prof. Dr.-Ing. Alexander Fay
An Analysis of Real-Time Ethernets With Regard to Their Automatic Configuration
In: 11th IEEE World Conference on Factory Communication Systems (WFCS 2015), May 2015
Dimitri Block, M. Sc., Niels Hendrik Fliedner, M. Sc., Daniel Töws, M. Sc., Prof. Dr.-Ing. Uwe Meier
Wireless Channel Measurement Data Sets for Reproducible Performance Evaluation in Industrial Environments
In: 20th IEEE Conference on Emerging Technologies and Factory Automation - ETFA, Sep 2015
Dimitri Block, M. Sc., Malte Schmidt, M. Sc., Dr.-Ing. Lars Dürkop, Nico Wiebusch, Prof. Dr.-Ing. Uwe Meier
Coexistence of Wireless Control Systems: An Integral Event-based Simulation Approach
In: 21st IEEE Conference on Emerging Technologies and Factory Automation - ETFA 2016, Sep 2016
L.S. Karsthof, M. Hao, Jochen Rust, Steffen Paul, Prof. Dr.-Ing. Uwe Meier, Dimitri Block, M. Sc.
Dynamically Reconfigurable Real-Time Hardware Architecture for Channel Utilisation Analysis
In: Industrial Wireless Communication IEEE Nordic Circuits and Systems Conference - NORCAS 2016, Nov 2016
M. Hao, L.S. Karsthof, Jochen Rust, Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier
Hardwarebasiertes Koexistenzmanagement für echtzeitfähige, industrielle Funksysteme
In: KommA 2016 – Jahreskolloquium Kommunikation in der Automation, Nov 2016
Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier
Discrete-Event Simulation of Wireless Coexistence for Industrial Applications: Requirements and Solutions
In: KommA 2016 – Jahreskolloquium Kommunikation in der Automation, Nov 2016
Malte Schmidt, M. Sc., Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier
Wireless Interference Identification with Convolutional Neural Networks
In: 15th IEEE International Conference on Industrial Informatics, INDIN 2017, Aug 2017
Towards Integration of Industrial Ethernet with 5G Mobile Networks
In: 14th IEEE International Workshop on Factory Communication Systems, WFCS 2018, Jun 2018
Sergej Grunau, B. Sc., Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier
Multi-Label Wireless Interference Classification with Convolutional Neural Networks
In: 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Jul 2018
Niels Hendrik Fliedner, M. Sc., Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier
A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance
In: 15th International Symposium on Wireless Communication Systems, Aug 2018
Philip Söffker, M. Sc., Dimitri Block, M. Sc., Nico Wiebusch, Prof. Dr.-Ing. Uwe Meier
Resource Allocation for a Wireless Coexistence Management System Based on Reinforcement Learning
In: 23rd IEEE Conference on Emerging Technologies and Factory Automation - ETFA 2018, Sep 2018
Monique Düngen, Dimitri Block, M. Sc., Prof. Dr.-Ing. Uwe Meier, Thomas Hansen, Ramona Croonenbroeck, Rüdiger Kays, Bernd Holfeld, Dennis Wieruch, Pablo Wilke Berenguer, Volker Jungnickel, Henrik Schulze
Channel Measurement Campaigns for Wireless Industrial Automation - Funkkanalmessungen für die drahtlose industrielle Kommunikation
In: at – Automatisierungstechnik 2019, Jan 2019
Study work
Entwurf und Spezifikation eines kooperativen Koexistenz-Managements für industrielle Funksysteme
Philip Söffker, M. Sc.
Bachelor
Implementierung und Bewertung eines kooperativen Koexistenz-Managements für industrielle Funksysteme
Philip Söffker, M. Sc.
Bachelor
Implementierung und Evaluation einer Funksignalklassifizierung mit Convolutional Neural Networks
Malte Schmidt, M. Sc.
Study work
Möglichkeiten und Grenzen einer Funksignalklassifizierung mit Convolutional Neural Networks
Malte Schmidt, M. Sc.
Bachelor
Entwurf und Aufbau eines software-parametrierbaren Antriebssystems
Abdulrahman Abdulhabeb
Bachelor
Entwicklung eines Verfahrens zur korrelativen Vermessung industrieller Funkkanäle mit schneller Zeitvarianz
Master
Discrete-Event Simulation of Industrial Ethernet Based Coexistence Management
Praveen Suresh
Bachelor
Klassifizierung überlagerter Funksignale mit Convolutional Neuronal Networks
Master
Ressourcenzuweisung für ein Koexistenz-Management-System auf Basis prädiktiver Modellierung
Philip Söffker, M. Sc.
Master
Aufbau und Evaluation eines echtzeitfähigen Demonstrators für die Koexistenz von Funksystemen
Tobias Graeske
Bachelor
Entwicklung eines Verfahrens zur korrelativen Vermessung industrieller Funkkanäle mit schneller Zeitvarianz
10.01.2017 till 10.03.2017
ifak - Institut für Automation und Kommunikation
IMST
Promoted by
VDI/VDE Innovation + Technik