Towards IoT-driven Process Event Log Generation for Conformance Checking in Smart Factories

Ronny Seiger, Francesca Zerbato, Andrea Burattin, Luciano Garcia-Banuelos, Barbara Weber

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The Internet of Things (IoT) enables software-based access to vast amounts of data streams from sensors measuring physical and virtual properties of smart devices and their surroundings. While sophisticated means for the control and data analysis of single IoT devices exist, a more process-oriented view of IoT systems is often missing. Such a lack of process awareness hinders the development of process-based systems on top of IoT environments and the application of process mining techniques for process analysis and optimization in IoT. We propose a framework for the stepwise correlation and composition of raw IoT sensor streams with events and activities on a process level based on Complex Event Processing (CEP). From this correlation we derive refined process event logs–possibly with ambiguities–that can be used for process analysis at runtime (i. e., online). We discuss the framework using examples from a smart factory.
Original languageEnglish
Title of host publicationProceedings of 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop
PublisherIEEE
Publication date2020
Pages20-26
DOIs
Publication statusPublished - 2020
Event2020 IEEE 24th International Enterprise Distributed Object Computing Workshop - Virtual event, Eindhoven, Netherlands
Duration: 5 Oct 20208 Oct 2020

Conference

Conference2020 IEEE 24th International Enterprise Distributed Object Computing Workshop
LocationVirtual event
CountryNetherlands
CityEindhoven
Period05/10/202008/10/2020

Keywords

  • Conformance Checking
  • Complex Event Processing
  • Internet of Things
  • Process Mining
  • Smart Factories

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