What is BS EN 9300-004 - Aerospace series — LOTAR for 3D, CAD and PDM data about?
BS EN 9300-004 focuses on Long Term Archiving and Retrieval of digital technical product documentation (LOTAR) such as 3D, CAD and PDM data for description methods.
BS EN 9300-004 is the fourth part of the multiple series document that presents methods that are divided into four main categories:
- Scope and scenario description
- Process description
- Data
- System architecture
Who is BS EN 9300-004 - Aerospace series — LOTAR for 3D, CAD and PDM data for?
BS EN 9300-004 on aerospace series LOTAR is useful for:
- Aerospace industries 
- The IT industry / the IT divisions at aerospace facilities 
- Personnel involved in implementing / maintaining / executing LOTAR 
- Design teams/design engineers 
- CAD specialists 
- Product data management working groups 
Why should you use BS EN 9300-004 - Aerospace series — LOTAR for 3D, CAD and PDM data?
BS EN 9300-004 was prepared jointly by ASD-STAN and the PROSTEP iViP Association. The PROSTEP iViP Association is an international non-profit association in Europe. For establishing leadership in IT-based engineering, it offers a moderated platform to its nearly 200 members from leading industries, system vendors and research institutions. Its product and process data standardization activities at European and worldwide levels are well known and accepted. The PROSTEP iViP Association sees BS EN 9300-004 and the related parts as a milestone of product data technology.
The modelling approaches are based on Unified Modelling Language (UML) use case diagrams, and BS EN 9300-004 gives general information and scenario descriptions. Simplified Activity diagrams are used to describe the processes. Express G diagrams are used to describe data modules. Express-Where-Rules is used to describe rules and limitations. Tabular forms are used for further descriptions, such as for a data dictionary.
Overall, BS EN 9300-004 can be used to design system architecture, with the UML Package's modelling method to provide a high-level picture of what the system does and to identify the system's users (actors)
