Toward self-manageable and adaptive industrial cyber-physical systems with knowledge-driven autonomic service management

Wenbin Dai*, Victor N. Dubinin, James H. Christensen, Valeriy Vyatkin, Xinping Guan

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)

Abstract

An increasingly important goal of industrial automation systems is to continuously optimize physical resource utilization such as materials. Distributed automation is seen as one enabling technology for achieving this goal, in which networking controller nodes collaborate in a peer-to-peer way to form a new paradigm, namely industrial cyber-physical systems (iCPS). In order to achieve rapid response to changes from both high-level control systems and plant environment, the proposed self-manageable agent relies on the use of the service-oriented architecture (SOA) that improves flexibility and interoperability. It is enhanced by the autonomic service management (ASM) to implement software modifications in a fully automatic manner, thus achieving self-manageable and adaptive iCPS. The architecture design of the ASM is provided and integration with SOA-based execution environment is illustrated. Preliminary tests on self-management are completed using a case study of an airport baggage handling system.

Original languageEnglish
Article number7523919
Pages (from-to)725-736
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume13
Issue number2
DOIs
Publication statusPublished - 1 Apr 2017
MoE publication typeA1 Journal article-refereed

Keywords

  • Autonomic service management (ASM)
  • flexibility
  • IEC 61499 function blocks
  • industrial cyber-physical systems (iCPS)
  • interoperability
  • ontology web language (OWL)
  • self-management
  • semantic query-enhanced web rule language (SQWRL)
  • semantic web rule language (SWRL)
  • service-oriented architecture (SOA)

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