Hornsteiner, Markus and Empl, Philip and Bunghardt, Timo and Schoenig, Stefan (2024) Reading between the Lines: Process Mining on OPC UA Network Data. SENSORS, 24 (14): 4497. ISSN , 1424-8220
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The introduction of the Industrial Internet of Things (IIoT) has led to major changes in the industry. Thanks to machine data, business process management methods and techniques could also be applied to them. However, one data source has so far remained untouched: The network data of the machines. In the business environment, process mining, for example, has already been carried out based on network data, but the IIoT, with its particular protocols such as OPC UA, has yet to be investigated. With the help of design science research and on the shoulders of CRISP-DM, we first develop a framework for process mining in the IIoT in this paper. We then apply the framework to real-world IIoT network traffic data and evaluate the outcome and performance of our approach in detail. We find tremendous potential in network traffic data but also limitations. Among other things, due to the dependence on process experts and the existence of case IDs.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; process mining; industrial IoT; business process management; industry 4.0 |
| Subjects: | 000 Computer science, information & general works > 004 Computer science |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig Informatics and Data Science > Department Information Systems > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 24 Jul 2025 09:03 |
| Last Modified: | 24 Jul 2025 09:03 |
| URI: | https://pred.uni-regensburg.de/id/eprint/63637 |
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