Engineering method for the integration of modules into fast evolving production systems in the process industry

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • T. Holm - , Helmut Schmidt Unviersity Hamburg (Author)
  • M. Obst - , Chair of Process Control Systems (Author)
  • A. Fay - , Helmut Schmidt Unviersity Hamburg (Author)
  • L. Urbas - , Chair of Process Control Systems (Author)
  • U. Hempen - , Wago Kontakttechnik GmbH and Co. KG (Author)
  • T. Albers - , Wago Kontakttechnik GmbH and Co. KG (Author)
  • S. Kreft - , Wago Kontakttechnik GmbH and Co. KG (Author)

Abstract

The reduction of the required effort for integration of a module into a production plant is the fundamental aim of modular plant architectures. An essential prerequisite for efficiency is to shift engineering efforts from the classical site-engineering to the engineering of plant modules. In such a scenario, the engineering of the entire system can be subdivided into two separate engineering phases, namely: a) the module supplier engineers and builds the module and b) the plant engineer uses the modules. This article presents an architecture that simplifies the integration of modules into production plants by using an information model - Module Type Package - for transferring and storing necessary engineering results during module-engineering.

Details

Original languageEnglish
Title of host publication2015 IEEE Conference on Automation Science and Engineering
PublisherIEEE Computer Society
Pages1042-1047
Number of pages6
ISBN (electronic)9781467381833
Publication statusPublished - 7 Oct 2015
Peer-reviewedYes

Publication series

SeriesIEEE International Conference on Automation Science and Engineering (CASE)
Volume2015-October
ISSN2161-8070

Conference

Title11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Duration24 - 28 August 2015
CityGothenburg
CountrySweden

External IDs

ORCID /0000-0001-5165-4459/work/174432557

Keywords

Research priority areas of TU Dresden

Keywords

  • decentralized intelligence, engineering, modularization, process automation, process module