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Electrical Mechanical Enabling Digital Business with an ... · Enabling Digital Business with an...
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Restricted 1 Motivation Enabling Digital Business with an AutomationML Connectivity Hub Dr. Florian Himmler & Torsten Lahr, evosoft GmbH, Marienbergstr. 76-82, 90411 Nuremberg, Germany Product Data Management System Electrical Engineering System Mechanical Engineering System Control System ERP System (Enterprise Resource Planning) Factory Planning System Production Planning System Legend Name Application Data flow Standardized Interface Standardized Interface • Further globalization of the market and rising pressure to be innovative – markets are increasingly driven by dynamics and individuality enhancement of engineering efficiency as well as quality • Introduction of innovative (Industrie 4.0- / Industrial Internet-) technologies capable of realizing… • …intelligent and flexible production lines • …where smart products are produced • …and the customer is directly integrated into the process • Producing companies do not meet the requirements to integrate the necessary technologies into a seamless process integration from product development to service delivery • Provide a flexible integration hub to easily enable producing companies integrate their processes Challenge Approach Problem Solution GOAL: Exchange of multidisciplinary Master Data with integrated engineering tool landscapes. CHALLENGE: Engineering master data is mostly related to specific engineering tools. For using the full potential of collaboration inside an integrate engineering landscapes with Teamcenter - disciplinary master data has to be linked manually. SOLUTION: AutomationML as an multi-disciplinary data exchange format can capture the links between the disciplines, so it is possible to exchange also those between integrated engineering landscapes. Mechanik Elektrik Office Tools Automatisierung Rollenförderer Lichtschranke Motor Mechanik Elektrik Office Tools Automatisierung Rollenförderer Lichtschranke Motor Rollenförderer Lichtschranke Motor GOAL: Support the generation of a simulation model for virtual commissioning. CHALLENGE: The effort to generate a simulation model is a key factor for the efficiency of virtual commissioning. Today several information has to be gathered and prepared to one model by the user (e.g. signal list, 3D- Model, kinematics, behavior). SOLUTION: All necessary information can be gathered via AML and Teamcenter. With AML-Hub multi- disciplinary data can be exchanged between AML and Teamcenter to generate a simulation model e.g. for Process Simulate or via AML for a 3 rd parties vendor GOAL: Exchange of resource structures from integrated engineering environment with external 3rd parties engineering tools via Automation ML. CHALLENGE: Plant and Resource Structures have to be exchanged between different tools during engineering. Inside an integrated engineering this can be managed by Teamcenter but with unmanaged 3 rd parties tool this has to be done manually. GOAL: Create an asset model with relevant information as a basis for data analytics in cloud application. CHALLENGE: Today the information of a machine or assembly line has to be transferred manual to a cloud (e.g. MindSphere) for data analytics. Updates also have to be synchronized in the plant model in engineering and the cloud asset model. SOLUTION: AML Hub offers the option to exchange data between Teamcenter (or) Automation ML with the RDF Standard. So a data exchange process between an integrated engineering environment and an cloud application can be arranged. • Heterogeneous system landscape – high number of different applications • Limited interoperability of the applications • Many point-to-point data flows – lots of individual or even manual interfaces • Not documented very well, e.g. the direction or the contents of the data flows is unknown • Maintenance effort for such a landscape is very high and changes are very complex Current Situation Flexibility – handle individual customer specific domain models Connectivity – connect various Digital Enterprise Solutions (e.g. Teamcenter) Integration – integrate different semantics from various data formats (e.g. AutomationML, Excel etc.) Powerful – mapping engine to map input data into domain models and export into target models Scalability – Operate in isolated customer- as well as in a cloud- environment Variability – Flexible and customer oriented business models (e.g. pay-per- use) Faster.Easier.Better – The AutomationML Connectivity Hub SOLUTION: AutomationML includes the CAEX standard to exchange structures between several tools. AML Hub offers the exchange of plant and resource structures between Teamcenter and 3 rd parties tools via AutomationML. Use Case: Engineering Master Data Integration Use Case: Resource structure exchange Use Case: Virtual Commissioning Modell Exchange based on AML Use Case: MindSphere asset model exchange • Integration made easy with AutomationML Connectivity Hub – Realize efficient engineering processes due to semantic integration of anything
Transcript of Electrical Mechanical Enabling Digital Business with an ... · Enabling Digital Business with an...
Restricted 1
Motivation
Enabling Digital Business with an AutomationML Connectivity HubDr. Florian Himmler & Torsten Lahr, evosoft GmbH, Marienbergstr. 76-82, 90411 Nuremberg, Germany
Product Data Management System
Electrical
Engineering System
Mechanical
Engineering System
Control
System
ERP
System(Enterprise
Resource Planning)
Factory
PlanningSystem
Production
PlanningSystem
Legend
Name Application Data flowStandardized
Interface Standardized Interface
• Further globalization of the market and rising pressure to be innovative –markets are increasingly driven by dynamics and individuality enhancement of engineering efficiency as well as quality
• Introduction of innovative (Industrie 4.0- / Industrial Internet-) technologies capable of realizing…• …intelligent and flexible production lines• …where smart products are produced• …and the customer is directly integrated into the process
• Producing companies do not meet the requirements to integrate the necessary technologies into a seamless process integration from product development to service delivery
• Provide a flexible integration hub to easily enable producing companies integrate their processes
Challenge
Approach
Problem
Solution
GOAL: Exchange of multidisciplinary Master Data withintegrated engineering tool landscapes.
CHALLENGE: Engineering master data is mostly related tospecific engineering tools. For using the full potential ofcollaboration inside an integrate engineering landscapeswith Teamcenter - disciplinary master data has to belinked manually.
SOLUTION: AutomationML as an multi-disciplinary dataexchange format can capture the links between thedisciplines, so it is possible to exchange also thosebetween integrated engineering landscapes.
Mechanik
ElektrikOffice Tools
Automatisierung
Rollenförderer
Lichtschranke Motor
Mechanik
ElektrikOffice Tools
Automatisierung
Rollenförderer
Lichtschranke Motor
Rollenförderer
Lichtschranke Motor
GOAL: Support the generation of a simulation model forvirtual commissioning.
CHALLENGE: The effort to generate a simulation modelis a key factor for the efficiency of virtual commissioning.Today several information has to be gathered andprepared to one model by the user (e.g. signal list, 3D-Model, kinematics, behavior).
SOLUTION: All necessary information can be gatheredvia AML and Teamcenter. With AML-Hub multi-disciplinary data can be exchanged between AML andTeamcenter to generate a simulation model e.g. forProcess Simulate or via AML for a 3rd parties vendor
GOAL: Exchange of resource structures from integratedengineering environment with external 3rd partiesengineering tools via Automation ML.
CHALLENGE: Plant and Resource Structures have to beexchanged between different tools during engineering.Inside an integrated engineering this can be managed byTeamcenter but with unmanaged 3rd parties tool this hasto be done manually.
GOAL: Create an asset model with relevant informationas a basis for data analytics in cloud application.
CHALLENGE: Today the information of a machine orassembly line has to be transferred manual to a cloud(e.g. MindSphere) for data analytics. Updates also haveto be synchronized in the plant model in engineering andthe cloud asset model.
SOLUTION: AML Hub offers the option to exchange databetween Teamcenter (or) Automation ML with the RDFStandard. So a data exchange process between anintegrated engineering environment and an cloudapplication can be arranged.
• Heterogeneous system landscape – high number of different applications
• Limited interoperability of the applications• Many point-to-point data flows – lots of individual or even manual
interfaces• Not documented very well, e.g. the direction or the contents of the data
flows is unknown• Maintenance effort for such a landscape is very high and changes are
very complex
Current Situation
Flexibility –handle individual customer specific
domain models
Connectivity –connect various Digital Enterprise
Solutions (e.g. Teamcenter)
Integration –integrate different semantics from
various data formats (e.g. AutomationML, Excel etc.)
Powerful –mapping engine to map input data into
domain models and export into target models
Scalability –Operate in isolated customer- as well as
in a cloud-environment
Variability –Flexible and customer oriented business
models (e.g. pay-per-use)
Faster.Easier.Better – The AutomationML Connectivity Hub
SOLUTION: AutomationML includes the CAEX standardto exchange structures between several tools. AML Huboffers the exchange of plant and resource structuresbetween Teamcenter and 3rd parties tools viaAutomationML.
Use Case: Engineering Master Data Integration
Use Case: Resource structure exchange
Use Case: Virtual Commissioning Modell Exchange based on AML
Use Case: MindSphere asset model exchange
• Integration made easy with AutomationML Connectivity Hub – Realize efficient engineering processes due to semantic integration of anything
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