Method to Identify Process Activities by Visualizing Sensor Events
Journal
Business Process Management Workshops
Type
conference paper
Date Issued
2022-09
Author(s)
Abstract
With the onset of the Internet of Things (IoT) everyday objects suddenly become data sources equipped with sensors measuring the object’s properties and surroundings. However, the lack of process-awareness in IoT environments (e.g., smart factories) prevents the adoption of more sophisticated process analysis and optimization. One hurdle is the differing abstraction level of low-level sensor data and process-level activities. We propose a method to identify activities step-by-step from raw IoT data using visualizations. By relying on minimal process knowledge, we discover process activities from sensor events. These activities are represented by specific sequences of sensor events–Activity Signatures–that serve as a basis for finding similar activities. We demonstrate the method’s validity with a proof of concept in a smart factory.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
None
Refereed
Yes
Publisher
Springer
Pages
12
Event Title
20th Business Process Management (BPM) Conference
Event Location
Münster, Germany
Event Date
11.-16.09.2022
Subject(s)
Eprints ID
267105
File(s)![Thumbnail Image]()
Name
BPM_IoT_WS_2022.pdf
Size
1.33 MB
Format
Adobe PDF
Checksum (MD5)
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