DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs

The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes in the environment and the humans involved in...

Full description

Saved in:
Bibliographic Details
Published inFuture internet Vol. 15; no. 3; p. 109
Main Authors Mangler, Juergen, Grüger, Joscha, Malburg, Lukas, Ehrendorfer, Matthias, Bertrand, Yannis, Benzin, Janik-Vasily, Rinderle-Ma, Stefanie, Serral Asensio, Estefania, Bergmann, Ralph
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2023
Subjects
Actuators
Business performance management
Business process management
Data analysis
Data transmission
Humidity
Industry 4.0
Information management
Internet of Things
IoT data
Logistics
Middleware
process management
process mining
Semantics
Sensors
Smart houses
Software
XES
Austria
New Jersey
Germany
Online AccessGet full text

Cover

More Information
Summary:The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes in the environment and the humans involved in the processes. These sensors produce large amounts of discrete and continuous data streams, which hold the key to understanding the quality of the executed processes. However, to enable this understanding, it is needed to have a joint representation of the data generated by the process engine executing the process, and the data generated by the IoT sensors. In this paper, we present an extension of the event log standard format XES called DataStream. DataStream enables the connection of IoT data to process events, preserving the full context required for data analysis, even when scenarios or hardware artifacts are rapidly changing. The DataStream extension is designed based on a set of goals and evaluated by creating two datasets for real-world scenarios from the transportation/logistics and manufacturing domains.
ISSN:1999-5903
1999-5903
DOI:10.3390/fi15030109