Reliable Self-Learning Production Systems Based on Context Aware Services

Sebastian Scholze, Dragan Stokic, Oliver Kotte, Jose Barata, Giovanni Di Orio, Goncalo Candido

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

The paper presents the key results of the EU-project Self-Learning. The strategic objective of Self-Learning is to strengthen EU leadership in production technologies in the global marketplace by developing innovative self-learning solutions to enable tight integration of control & so called secondary processes (e.g. maintenance, energy efficiency) of production systems. The project developed highly reliable and secure service-based self-learning solutions aiming at that integration. Approaches based on SOA principles, using distributed networked embedded services in device space, are the most appropriate for implementation of such self-learning solutions. Context awareness, providing information about the processes & equipment and circumstances under which the services operate and allowing them to react accordingly, is a promising holistic approach to assure needed self-learning adaptation to changes in processes and equipment states. The key components of a self-learning solution include a Context Extractor module to allow for dynamic context extraction, processing and storage, an Adapter module to allow for a holistic process control of considered systems and a self-learning module to allow for self-learning. Three industrial application scenarios drive the project.

Original languageEnglish
Title of host publication2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013)
PublisherIEEE
Pages4872-4877
Number of pages6
ISBN (Electronic)978-1-4799-0652-9
DOIs
Publication statusPublished - 2013
EventIEEE International Conference on Systems, Man, and Cybernetics (SMC) - Manchester
Duration: 13 Oct 201316 Oct 2013

Publication series

NameIEEE International Conference on Systems Man and Cybernetics Conference Proceedings
PublisherIEEE
ISSN (Print)1062-922X

Conference

ConferenceIEEE International Conference on Systems, Man, and Cybernetics (SMC)
CityManchester
Period13/10/1316/10/13

Keywords

  • Self-Adaptive
  • Context Awareness
  • Ontology
  • SOA
  • self-learning
  • Context Extraction

Cite this