DSL4DPiFS -- A Graphical Notation to Model Data Pipeline Deployment in Forming Systems

Data-driven methods are increasingly utilized in metal forming processes for monitoring and quality optimization. An adapted modeling notation DSL4DPiFS for forming processes is presented to model hardware, software, and data flow aspects to support the design of data-driven methods. DSL4DPiFS enables metal forming and automation experts to model field-level information as data sources and the data sinks for data analysis. The notation was adapted to the requirements of selected metal forming processes and evaluated in three case studies.     «

Data-driven methods are increasingly utilized in metal forming processes for monitoring and quality optimization. An adapted modeling notation DSL4DPiFS for forming processes is presented to model hardware, software, and data flow aspects to support the design of data-driven methods. DSL4DPiFS enables metal forming and automation experts to model field-level information as data sources and the data sinks for data analysis. The notation was adapted to the requirements of selected metal forming pr...     »