Potential usage of AutomationML to feed back data from the shopfloor into the digital planning models. 5th AutomationML User Conference

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Gabriella Davidson
5 years ago
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1 Potential usage of AutomationML to feed back data from the shopfloor into the digital planning models 5th AutomationML User Conference

2 2 Problem Statement Planning: New vehicle Without feedback (current scenario) With datafeedback (aim) Welding of component Welding defects recognized Parameter optimized Feedback from errors recorded automatically Integration of feedback in the planning process Planning: Following ramp-up Optimized parameter not fedback to the new planning process Errors get repeated Optimized parameters automatically Flows back to planning tools Old errors are avoided and planning process optimized; faster and error-free ramp-up

3 3 Concept of an Optimized Manufacturing Digital Process Planning Parts of the Concept Integrated Digital Factory Planning Model Central Data Repository Data Acquistion from Shopfloor - 3D-model and kinematics - Control Code - Skills - Behavior - Storing integrated planning data - Comparing and merging real and virtual data - Feedback to planning models - Standardized data acquisition from shopfloor - Identification of relevant data for planning models

4 Data Acquisition from Shopfloor Devices via OPC UA Benefits through standard OPC UA Specifications provided by OPC Foundation and Companion Specification e.g. developed in cooperation with VDMA.

for the integration in automotive production environment: OPC UA Companion Specifications for FDI OPC UA Companion Specifications for Robotics OPC UA Companion Specifications for

4 4 Data Acquisition from Shopfloor Devices via OPC UA Benefits through standard OPC UA Specifications provided by OPC Foundation and Companion Specification e.g. developed in cooperation with VDMA. Most important spec. for the integration in automotive production environment: OPC UA Companion Specifications for FDI OPC UA Companion Specifications for Robotics OPC UA Companion Specifications for AutomationML OPC UA Companion Specifications for PLCOpen EtherCAT Aggregation Server Standardized information models are a key factor for an interoperable data exchange within the production. tools Tool controller IPC PROFINET PROFINET Hierarchical structure Semantically description TCP/IP PROFINET Robot controller PLC

5 5 Architecture Shopfloor to Data Lake SYSTEMS OF RECORDS SHOPFLOOR INTEGRATOR DATASTORAGE CONSUMERS SCADA PLC Robot Integration Layer Data Lake AnalyticPlatform Tool SCADA PLC Aggregation Server Data Proxy Mongo DB Sub set of data DESCRIPTIVE DIAGNOSTIC PREDICTIVE PRESCRIPTIVE Robot Tool

6 Digital Factory Framework and AutomationML Data Model Mechanical Design Electrical Design Wiring

aml.aml.aml.aml Problems: Diverse perspectives from different domains Semantic heterogenity issues

AutomationML model semantically representing all engineering phases Approaches Top-down modelling

6 6 Digital Factory Framework and AutomationML Data Model Mechanical Design Electrical Design Wiring PLC Programming Virtual Commissioning Digital Factory A U T O M A T I O N M L.aml.aml.aml.aml.aml Problems: Diverse perspectives from different domains Semantic heterogenity issues Lack of a final design, capturing original intent from each perspective Solution: Integrated AutomationML model semantically representing all engineering phases Approaches Top-down modelling approach (TU Vienna) Bottom-up modelling approach: Alligator tool (University of Bonn) Combination of both: AutomationML ontology

7 Concept of an Optimized Manufacturing Digital Process Planning 3D planning Process planning compare merge Sub set of data Electrical planning Control Logic Mongo DB Planning Data Repository Data Lake Production Data Lake Virtual Commissioning

8 Why MongoDB? Central Data Repository Data Functionality Data Storage and Usage Platform Independence 1. Easy 2. Flexible 3. Fast 4. Versatile 1. High Availability 2.

8 8 Why MongoDB? Central Data Repository Data Functionality Data Storage and Usage Platform Independence 1. Easy 2. Flexible 3. Fast 4. Versatile 1. High Availability 2. Workload isolation 3. Scalibility 4. Locality 1. Local 2. On-premises 3. Private Cloud 4. Hybrid Cloud 5. Public Cloud Slide Courtesy: MongoDB 6. Fully managed cloud service

9 9 Research from the concept into real prototype Definition of scope Define shopfloor data for usage in planning tools Identifying dataflow in shopfloor and planning Developing mechanism to merge and compare data sets Implementation in prototype production cell Evaluation and redefining Advantages Standardized access of data points through usage of OPC UA information models Optimization of planning processes through automatized usage of real production data Decreasing the commissioning and reducing the ramp-up time in new projects

10 Thank you.

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