In the context of Industry 4.0, the analysis of Internet-of-Things (IoT) data with business intelligence (BI) technologies has acquired high relevance. However, designing and implementing IoT-based BI applications is hard for several reasons. Therefore, we propose a novel conceptual data model based on UML profiles and model-driven architecture (MDA) for modeling and implementing IoT-based BI applications. Our approach provides highly readable data models of IoT, which are also compatible with traditional BI data models. Furthermore, it could help in the implementation process of the IoT subsystem through automatic code generation.

中文翻译：

---

基于物联网的商业智能应用的概念数据模型及其自动实现


在工业 4.0 的背景下，利用商业智能 (BI) 技术对物联网 (IoT) 数据进行分析具有很高的相关性。然而，由于多种原因，设计和实施基于物联网的 BI 应用程序很困难。因此，我们提出了一种基于 UML 配置文件和模型驱动架构 (MDA) 的新颖概念数据模型，用于建模和实现基于物联网的 BI 应用程序。我们的方法提供了高度可读的 IoT 数据模型，该模型也与传统 BI 数据模型兼容。此外，它可以通过自动代码生成来帮助物联网子系统的实现过程。