Projekte

iAP:
Industrial Automation Platform for Big Data

Projektlaufzeit: 1.12.2018 bis 30.11.2020 (Laufend)
Forschungsbereich: Industrielle Kommunikation : Industrielle Kommunikation
Projektleiter: Prof. Dr.-Ing. Jürgen Jasperneite


  

The data driven services in industrial automation systems are transforming the world of automation industry by optimizing industrial processes and providing value added services in Industry 4.0 era. An industrial big data platform is necessary to achieve higher business value by integrating process data from shop floor, enterprise data and other data sources together. Collection and integration of such data from heterogeneous data sources in industrial automation systems are often timeintensive and labour-intensive tasks. The aim of the research project to build an industrial big data platform that can collect, transport and store data in production systems on demand. Based on stored data, the data driven services such as predictive maintenance, condition monitoring will be provided for efficient machine and system operations. In the pilot applications , data is collected from OPC UA servers, devices which supports Modbus/TCP protocol, transported and stored in different types of databases based on demand driven data pipeline.


Partner:

  • Weidmüller
  • Technische Hochschule Ostwestfalen-Lippe
  • Fraunhofer IOSB-INA
  • Universität Paderborn
  • Benteler
  • Kannegiesser
  • KEB
  • Lenze
 


Publikationen:

Ghosh Chowdhury, Arnab; Illian, Marvin; Wisniewski, Lukasz; Jasperneite, Jürgen: An Approach for Data Pipeline with Distributed Query Engine for Industrial Applications. In: IEEE ETFA 2020 IEEE, Vienna, Austria, Sep 2020 (Details)

Weskamp, Jan Nicolas ; Ghosh Chowdhury, Arnab; Pethig, Florian; Wisniewski, Lukasz: Architecture for Knowledge Exploration of Industrial Data for Integration into Digital Services. In: IEEE ICPS 2020 IEEE, Tampere, Finland, Jun 2020 (Details)


gefördert durch: Projektträger Jülich (PTJ)
Ansprechpartner: Dr.-Ing. Lukasz Wisniewski
Mitarbeiter: Dr.-Ing. Lukasz Wisniewski , M.Sc. Arnab Ghosh Chowdhury