Industry 4.0 is characterized by the digitization and networking of machines and systems in production. The amount of data in production is increasing, providing information about processes and thus enables the autonomous monitoring, control and optimization of value creation processes. However, there have been several open challenges and current research questions identified. In particular, new solutions need to be scalable and high-performing to deal with the growing volumes of data close to real-time. The work at hand tackles these research gaps by presenting an approach to realize vertical data continuity by combining signal acquisition and simultaneous data evaluation in a decentralized system without the use of time-consuming external cloud solutions. The approach has been evaluated in laboratory as well as in industrial settings.

工业4.0的特征在于生产中的机器和系统的数字化和网络化。生产中的数据量不断增加，提供有关流程的信息，因此可以实现价值创造流程的自主监控，控制和优化。然而，存在一些开放的挑战和当前的研究问题。尤其是，新解决方案需要具有可扩展性和高性能，以处理接近实时的不断增长的数据量。当前的工作通过提出一种在分散系统中结合信号采集和同步数据评估来实现垂直数据连续性的方法，从而解决了这些研究空白，而无需使用耗时的外部云解决方案。该方法已在实验室以及工业环境中进行了评估。