Semantic Device and System Modeling for Automation Systems and Sensor Networks

Abstract

The digital revolution in industry, buildings, and the Internet of Things will massively increase the number of sensor, actuator, and control devices in the near future. This will lead to the further automation of many tasks in the life cycle of the systems from design to commissioning and operation. Device and system models are a key enabler in this goal as they provide a holistic information pool that can be utilized by various tools and users along the life cycle. This paper analyzes the current state of the art of device and system models. It looks across different domains from industrial automation to building automation and sensor networks, defines the common tasks in their life cycle, and classifies the information required to execute and automate them. It compares 24 common device modeling approaches against these requirements and unveils how ready they are for the future and what they lack.