Bringing IoT to Production Digital Shadows Task-specific Digital - PowerPoint PPT Presentation

Bringing IoT to Production 
 Digital Shadows Task-specific Digital Shadow for wide- Task-specific Digital Shadow for mid- Task-specific Digital Shadow for in- range analyses (exemplary application: range analyses (exemplary application: depth analyses (exemplary application: Optimization of value stream) Optimization of machine processing) Optimization of cutting tool) Digital Shadows Data aggregation and refinement Reduced Analytics Models 0 1 0 1 01 0 0 1 01 0 0 1 1 0 1 1 0 0 1 1 0 1 01 0 0 1 01 0 1 0 0 0 1 1 1 1 0 1 0 1 01 0 1 0 1 01 0 1 0 0 0 0 1 1 0 0 0 1 1 01 1 1 0 1 01 0 1 1 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 1 0 R 0 1 1 1 1 1 0 1 1 1 1 0 1 11 1 0 0 a 0 0 0 1 0 0 0 1 0 0 1 0 0 0 w 1 0 1 1 0 1 1 0 1 11 11 0 1 1 1 0 0 0 0 1 1 D 0 1 1 0 1 0 1 1 0 a 0 1 0 1 0 0 0 0 1 t 1 1 a 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 0 1 01 0 1 1 1 0 0 1 1 1 1 0 1 1 0 1 01 1 0 1 0 0 0 1 1 0 1 0 0 0 1 1 0 0 1 0 1 0 01 0 0 1 1 0 1 1 1 0 1 0 1 1 1 1 0 1 1 0 0 1 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 1 1 1 1 1 0 0 1 0 0 0 0 1 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0 1 0 1 1 1 01 1 0 1 0 1 1 1 1 1 1 0 1 1 1 1 Development Usage Production Virtual World Physical World � 1


 Central Infrastructural Approach 
 Infrastructure of the Internet of Production Development Cycle Production Cycle User Cycle Smart Expert Decision Support Agent Event-driven Autonomous Adaptive Decisions Actions Processes A Multi-Modal Information Access Smart Data Data Data Data Storage Context-sensitive Integration Model and Caching Processing Digital Shadow Model 
 Cluster Learning Meta Analytics Reduction Algorithms Algorithms Heuristics Aggregation and Synchronization Middleware+ Management of data access to proprietary systems Data Provision and Access Application Software ERP/ PLM CAD FEM MES BDE CRM CAQ SCM Raw Data Product CAD Simulation Process Machine Feedback Customer Test Data Data Data Data Data Data Data Data � 2

Challenges for the IoP 
 Highly Iterative Innovation 5. How can cross-domain and lifecycle-wide IoP Highly collaboration for highly iterative innovation be Iterative enabled? Innovation 4. Realtime Acting Change: High-voltage Change: L7E to M1 3. Systematic Change: Steel to Alu Learning Pote Product Maturity 2. Multi Lateral Access and Production 
 Usability Cycle Development 
 Cycle highly iterative 1. User 
 Concept Functional Technical Digital t 36 month Cycle Prototype Prototype Perception � 3