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  4. Towards IoT-Driven Process Event Log Generation for Conformance Checking in Smart Factories
 
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Towards IoT-Driven Process Event Log Generation for Conformance Checking in Smart Factories

Type
conference contribution
Date Issued
2020-09
Author(s)
Seiger, Ronny  
Zerbato, Francesca  
Burattin, Andrea
García-Bañuelos, Luciano
Weber, Barbara  
DOI
10.1109/EDOCW49879.2020.00016
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.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
None
Refereed
Yes
Volume
2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)
Start page
20
End page
26
Pages
7
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/111833
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

SCS - School of Compu...

Eprints ID
261140

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