Design to automation continuum for industrial processes: ISO 15926 - IEC 61131 versus an industrial case

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

Researchers

Research units

  • VTT Technical Research Centre of Finland
  • Outotec Oyj

Abstract

Modern industrial processes have grown to be increasingly complex and their development is under tighter time and resource constraints. During the design lifecycle, the handover between process design and automation engineering is a critical step. This paper presents a standards-driven method for supporting the design to automation continuum. The source data format is ISO 15926 Proteus XML. Automation software describing control loops, alarms and interlocks are added as generic attributes in the Instrumentation Loop Function of the Proteus file. The target format is PLCopen XML for IEC 61131-3 based automation software. Control software code, global variables and the main program declarations and body, is auto-generated and defines the basic structure of the automation application. The standards-based method is compared with an applied approach based on state-of-the-art tools used by the industry.

Details

Original languageEnglish
Title of host publicationIEEE International Conference on Emerging Technology and Factory Automation, ETFA 2019
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Emerging Technologies and Factory Automation - Zaragoza, Spain
Duration: 10 Sep 201913 Sep 2019
Conference number: 24

Publication series

NameProceedings IEEE International Conference on Emerging Technologies and Factory Automation
PublisherIEEE
ISSN (Print)1946-0740
ISSN (Electronic)2379-9560

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA
CountrySpain
CityZaragoza
Period10/09/201913/09/2019

    Research areas

  • ISO 15926, DEXPI, Proteus, IEC 61131, PLCopen XML, Process engineering, Automation engineering

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