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

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 DataStream/SensorStream XES extension for representing IoT-data in event logs. Finally, we present some preliminary analysis and properties of the log.

诸如物联网（Internet of Things, IoT）这类现代技术，在包括业务流程管理（Business Process Management, BPM）研究在内的诸多领域中正发挥着愈发重要的作用。业务流程管理领域的核心研究方向之一为流程挖掘，该技术可用于分析事件日志，例如用于校验运行中流程的合规性。然而，当前可供研究使用的基于物联网的事件日志数量寥寥。其中部分日志为人工生成，但这类日志往往无法完整还原智能环境的真实物理特性，此为现存痛点之一。本文提出一款由实体智能工厂生成的、富含物联网数据的XES事件日志。为此，我们构建了数据流/传感器流（DataStream/SensorStream）XES扩展规范，以实现在事件日志中表征物联网数据。最后，本文对该日志开展了初步分析并阐释其相关特性。