An Engineering Data Management Infrastructure Covering Mission Analysis Up to System Qualification

Transcription

1 An Data Management Infrastructure Covering Mission Analysis Up to System Qualification SECESA 2016 Christian Hennig, Mark Baldesarra, Harald Eisenmann 6 October 2016

2 An Data Management Infrastructure Covering Mission Analysis Up to System Qualification Typical needs for system design support for early phases Specific needs for early phases raised in the discussion Airbus DS Way forward for the system design Airbus DS 2

3 Presentation Title runs here (go to Header & Footer to edit this text) This document and its content is the property of Airbus Defence and Space. It shall not be communicated to any third party without the owner s written consent [Airbus Defence and Space Company name]. All rights reserved. Typical needs for system design support for early phases 3

4 Typical needs for system design support for early phases System Functional Electrical Data Management Analysis Tool Mapping Concurrent Data Distribution Descriptive Tools Analysis Tools Mechanical Typically expressed key concurrent concepts such process, team, facility are not in the core of the discussion 4

5 Data management is the enabler for a model-based/data-driven system design process System Property Model Common Data Model Functional Product Tree Electrical Data Management Baselining / Versioning of Data Analysis Tool Mapping Concurrent Data Distribution Descriptive Tools Analysis Tools Integration of Tools Mechanical Reporting of Data. 5

6 Heterogeneous tools are needed to support system design, still Excel is widely used SysML relevance depends on mission type System Functional Electrical Mechanical Req. Mgt Mass Budget Performance Budget Product Tree Dynamic Analysis Data Management Analysis Tool Mapping Concurrent Data Distribution Descriptive Tools System Architecture Building Ops Concept Blocks Analysis Tools Power Budget System I/F R/F Budget Structure Analysis M-CAD Thermal Analysis 6

7 Efficient solutions are needed to allow the mapping into the various analysis tools eventually also providing some workflow functions System Functional Electrical Mechanical Mass Budget Property Mapping Performance Budget Dynamic Analysis Analysis Tool Mapping Descriptive Tools Analysis Tools Power Budget R/F Budget Workflow Structure Analysis Thermal Analysis 7

8 Presentation Title runs here (go to Header & Footer to edit this text) This document and its content is the property of Airbus Defence and Space. It shall not be communicated to any third party without the owner s written consent [Airbus Defence and Space Company name]. All rights reserved. Specific needs for early phases raised in the discussion Airbus DS 8

9 Specific needs for early phases raised in the discussion Airbus DS Lifecycle Function Functional Electr Data Continuity Product Orientation Overall Context Discipline 9

10 Enabling data continuity across customer-supplier chain, all disciplines, all system levels, and the whole system life-cycle Lifecycle Phase E Phase D Phase C Phase B Phase A - Efficient share of data along the life-cycle - Manage different abstraction level Change management Auto -Functions - Shared data management function - Common data model Discipline 10

11 Effective model-based - support for product approaches Supplier Collect Data Product Data Library Alert mechanisms to running projects Manage and Maintain Product Data selection and configuration Data use/re-use of Product Data Analysis, descr. Configration Data Verification data Apply Product 11

12 Considering needs from the context of tools, IT and improvements in the frame of digitalization Function Benefit of data as resource with statistic or semantic analytics of data Lifecycle Provide document-less access to data General IT support: Security, regulations, performance, backup, Functional Full integration in the context of PDM shared referential for baselining, release, change management 12 Electr Improved management support for iterative / agile working Discipline

13 Presentation Title runs here (go to Header & Footer to edit this text) This document and its content is the property of Airbus Defence and Space. It shall not be communicated to any third party without the owner s written consent [Airbus Defence and Space Company name]. All rights reserved. Way forward for the system design Airbus DS 13

14 Way forward for the system design Airbus DS space system Data Analytics DOORS Systems Diagram Visualization RangeDB Data Management SEDB Functional Digital Continuity Electrical Provide Digital Access to Data ThingWorkx (Dashboard) Product Configuration Referential Model Center SysML / Capella Matlab Windchill Analysis Tools Mechanical DMU Enovia Catia Agile Workflow 14

15 RangeDB provides a rich foundation of data management functions with many applications in functional engineering/verification Digital Continuity Data Management Application Requirements Data Functional Decomposition Avionics Data Data Representation Operational Concepts Monitoring & Control System Architecture Key System Properties (budget, margin, assumptions) Product Tree Mechanical Engineerint Electrical RangeDB Framework Product Structure Configuration Tree Monitoring and Control Assembly Tree OBSW AOC Interdisciplinary Shared Data Items As Built 15 Avionics DB AIT Electrical Architecture System Verification Data Data Reuse Querying Document Generation Data Import and Export Scripting Reporting Simulation Confguration Data Operation Branching and Merging Online/Offline Working Modes Consistency Checking Data Versioning Data History and Comparison Model Migration Functional Verification

16 The following complementing functions are needed to extend support of B/C/D infrastructure for early phases Systems Functional Electrical Mechanical Digital Continuity Management of Product-Library Data Representation System Variants Concrrent Support Analysis Tool Interface Data Management Assumptions System Database Budgets (status, Alloc) Re-use support Functions Data Operation Budget Evolution/Trend.. 16

17 Integration into the existing tool landscape benefiting of ongoing improvements Data Analytics DOORS Systems Functional Data and Diagram Visualization RangeDB Data Management SEDB Digital Continuity Electrical Provide Digital Access to Data ThingWorkx (Dashboard) Product Configuration Referential Model Center SysML / Capella Matlab Windchill Analysis Tools Mechanical DMU Enovia Catia Agile Workflow 17

18 Adoption of the classic concurrent design features with strong emphasis on the shared data management Actions are in place to improve support for (conceptual) system design phases elaboration of need shows Data management is considered foundation to achieve digital continuity across engineering domains and life-cycle Production orientation with effective re-use of needed models and data Integration into the existing IT / tool context is key to benefit of services (e.g. PDM) Typical concurrent design features are currently not in the core of the discussion Data Analytics DOORS Diagram Visualization RangeDB Data Management SEDB Provide Digital Access to Data ThingWorkx (Dashboard) Digital Continuity Product Configuration Referential Windchill Model Center SysML / Capella Matlab Analysis Tools DMU Enovia Catia Agile Workflow For the envisaged tool landscape the following is currently being discussed RangeDB as data management framework SysML / Capella pending on the mission needs Efficient mapping into the analysis world with ModelCenter as potential candidate ModelCenter for parameter sharing with analysis Alignment with B/C/D activates enables benefiting from ongoing improvements in the frame of digitalization 18