论文标题

智能工厂中富含物联网的事件日志

An IoT-Enriched Event Log for Process Mining in Smart Factories

论文作者

Malburg, Lukas, Grüger, Joscha, Bergmann, Ralph

论文摘要

现代技术(例如物联网)(IoT)在包括业务流程管理(BPM)研究在内的各个领域变得越来越重要。 BPM中的一个主要研究领域是过程挖掘,可用于分析事件日志,例如检查运行过程的符合性。但是,只有少数基于物联网的事件日志可用于研究目的。其中一些是人为生成的,问题出现的问题并不总是完全反映智能环境的实际物理特性。在本文中,我们提供了一个富含物联网的XES事件日志,该日志由物理智能工厂生成。为此,我们创建了用于在事件日志中表示IoT数据的SensorStream XES扩展。最后,我们提供了一些日志的初步分析和属性。

Modern technologies such as the Internet of Things (IoT) are becoming increasingly important in various domains, including Business Process Management (BPM) research. One main research area in BPM is process mining, which can be used to analyze event logs, e.g., for checking the conformance of running processes. However, there are only a few IoT-based event logs available for research purposes. Some of them are artificially generated and the problem occurs that they do not always completely reflect the actual physical properties of smart environments. In this paper, we present an IoT-enriched XES event log that is generated by a physical smart factory. For this purpose, we create the SensorStream XES extension for representing IoT-data in event logs. Finally, we present some preliminary analysis and properties of the log.

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