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Testautomatisierung in der virtuellen Inbetriebnahme
... With the help of a formal UML 2 -based requirement description, an automated test case generation and test execution is possible. The resulting specification model provides a basis for model-based test case generation methods [25]. ...
One of the major technical aspects of Industry 4.0 (I4.0) is the decentralized task and function distribution based on a service-oriented approach. This leads to new challenges by using the existing technologies and planning methods of I4.0 industrial plants. The validation of such dynamic service-oriented architectures requires new validation methods to ensure the correct functionality of the I4.0 plant. The interactions of distributed functions and the integration of functions on several devices play an important role in planning, configuration, and validation of such plants. This work presents a new approach of a continuous model-based validation and testing method of I4.0 plant service-oriented architectures. The method allows to reuse existing functional tests of services and to adjust them with the help of the model-based information of a plant architecture model. Keywords-Functional Testing of plants; industry 4.0; service-oriented; distributed systems, reuse of tests, validation of I4.0 plant systems
... In the project AVANTI [4] an FMI-based co-simulation for virtual commissioning has been set up using existing models (from the design phase of those machines) for each of the production machines. This co-simulation can then be used to validate the production process as well as to generate expectation values for various sensors to monitor live production [5]. ...
Industry 4.0 is to create a new digitalization paradigm spanning the entire product value chain. Comprehensive connectivity from customer demands and requirements to production, personalized marketing and predictive analysis aims at enabling new business models, optimized production and comprehensive data-based services. But how can Industry 4.0 be integrated into the production of composite components? Which capacities of this specific production process can be exploited to bring Industry 4.0 to life? What kind of pitfalls must different stakeholders be aware of? This paper provides an overview of the challenges and opportunities of sensor data integration, simulation models and data management in the context of Industry 4.0 for a demanding application such as fiber composite manufacturing. Using the example of the research project Sepia.Pro, we discuss and evaluate concrete approaches for the process transition towards Industry 4.0.
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