Nowadays mechanical engineering products change from mechatronic systems to Cyber-Physical Systems (CPS). CPS are connected, embedded systems which directly record physical data using sensors and affect physical processes using actuators. They evaluate and save recorded data, use globally available services and interact with operators via multimodal human-machine-interfaces. In context of industrial production CPS change production processes radically. Due to the change of technical systems, equipment suppliers, especially companies of the mechanical engineering industry, face the challenges of a rising complexity and a nearly unmanageable amount of new solutions based on information and communication technology. The contribution at hand provides a reference architecture and maturity levels for CPS. The reference architecture serves as an universal blueprint to structure CPS and to visualize all components and relationships. Two sets of CPS maturity levels help companies to assess the status quo, to determine the target state and to define concrete actions for improving their systems
The machinery and plant engineering sector is faced with new challenges due to the shift to intelligent technical systems and the need to integrate intelligence into machines. In addition, machinery and plant engineering means customized orders which result in engineering-to-order products and a different development process comparing to serial production. The present contribution shows the potential of model-based systems engineering during the whole developments process from the acquisition to distribution and start-up.
Cyber-physical systems (CPS) are networked, intelligent technical systems that interact with the physical and digital world alike. Companies now increasingly face the challenge of rapidly and consistently exploiting the emerging opportunities of this development. A prerequisite for this is a clear picture of the current position of products, the target position and first concrete steps towards the target projection. The contribution at hand shows an approach for the maturity model-based planning of cyberphysical systems in the machinery and plant engineering industry.
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