Versioning in Cyber-Physical Production System Engineering - PowerPoint PPT Presentation

International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS) Versioning in Cyber-Physical Production System Engineering – Best-Practice and Research Agenda Richard Mordinyi and Stefan Biffl Christian- Doppler Laboratory for “SE Integration for Flexible Automation Systems” Institute of Software Technology and Interactive Systems Vienna University of Technology http://cdl.ifs.tuwien.ac.at SCADA Tool Mec. Tech. Interop. Model Mec. Tool Elec. Analysis Model Model Elec. SW Tool SW Workflow

Motivation & Background Motivation:  Large-Scale Engineering Projects, e.g., hydro power plants, car manufacturing plants, steel mills.  Cooperation of different engineering disciplines.  Disciplines have specific engineering tools.  Manual effort required for data exchange and synchronization (high risks). Key research questions focus on:  domain experts and researchers in ASE environments  with a set of concepts, methods, and tools  to make informed decisions on top of integrating engineering knowledge  to design advanced applications for mitigating risks of defects in the engineering of flexible automation systems 2

Position of Research in CPS Concept Map 3 http://cyberphysicalsystems.org

Characteristics of Automation Systems Engineering Limited engineering process analysis and improvement capabilities  Engineering processes seem sequential but have loops back.  Heterogeneous knowledge representations in diverse engineering models.  Fragile change management in parallel multi-disciplinary engineering.  Insufficient early risk management in a heterogeneous environment. 4 VDI: 'Engineering of industrial plants. Evolution and Optimizations. Part 1-4, Verein Deutscher Ingenieure e.V., VDI/VDE 3695, 2010. VDI Richtlinie 2206 – Entwicklungsmethodik für mechatronische Systeme, VDI Verlag, 2004.

Industry 4.0: Engineering Knowledge at Run Time Engineering Phase Test/Operation Phase Business Requirements Integrate Business ERP System Business Requirements in Engineering Tool Data Enrich runtime Manager information OPC UA Server Engineering Engineering (augmented) Project Cockpit Project C Cockpit Manager Manager Production CAD, Pipe & Multi-Model Production Multi-Model C Project-level C Project-level Manager Instrumentation Dashboard Planning Dashboard concepts concepts Process Eng. Tool Data Tool Data Tool Data Tool Data Project Project Participant Software Dev. Participant Diagnosis C C Electrical Plan Automation C SCADA RT-Automation C Environment Analysis Service Bus Service Bus Tool Data Tool Data Tool Data Tool Data Electrical Eng. Operator Diagnosis Software Eng. C Expert C PLC program C PLC program Tool Data Control Eng. Tool Data Control Eng. Access run-time information Access engineering information PLC Cyber Physical Production Cyber Physical Production Deploy created artifacts OPC UA Server System (CPPS) System (CPPS) Config Sales Production Transport Sales Production Transport  Flexibility increases system complexity  Need for better integrated engineering to cope with larger solution space and with system changes at run time – commissioning 5

Version Management of Mechatronic Objects  Versioning of various semantic model element levels – File, Folders, Structural Elements, and detailed content levels  File-Level Versioning not sufficient – reflects data format syntax  Detection of Changes at Model-level 6 6

Summary & Research Aspects  Engineering of sCPS needs to cope with multiple heterogeneous engineering domains  Data heterogeneity integration – Methods, tools and modeling approaches of various domains – Access to domain specific model data from project/process level  Versioning and linking of engineering artifacts – Scalability of framework in managing versions – Formulation of cross-domain queries with domain-specific knowledge  Model-driven engineering – Modeling permitted changes of the production system during runtime – Modeling corridor of allowed changes – Formalization of operator’s knowledge to support automation 7