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Homepage>BS EN 17632-2:2024 Building information modelling (BIM). Semantic modelling and linking (SML) Domain-specific modelling patterns
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sklademVydáno: 2024-11-18
BS EN 17632-2:2024 Building information modelling (BIM). Semantic modelling and linking (SML) Domain-specific modelling patterns

BS EN 17632-2:2024

Building information modelling (BIM). Semantic modelling and linking (SML) Domain-specific modelling patterns

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Označení normy:BS EN 17632-2:2024
Počet stran:72
Vydáno:2024-11-18
ISBN:978 0 539 23733 7
Status:Standard
DESCRIPTION

BS EN 17632-2:2024


This standard BS EN 17632-2:2024 Building information modelling (BIM). Semantic modelling and linking (SML) is classified in these ICS categories:
  • 35.240.67 IT applications in building and construction industry
  • 91.010.01 Construction industry in general
This document (part 2) provides extended standard semantic modelling patterns for (at least) the following domain-specific asset aspects: - support for distinction between two subtypes of physical objects: spatial regions and real ("tangible") objects; the latter being discrete or continuous ("bulk matter"); - support for the materialization of physical objects, adding generic chemistry aspects directly relevant for the built environment dealing with materials like concrete, steel, wood and asphalt; - support for the interaction between objects including connections, interfaces and ports. Interactions being defined as activities where material, information, energy or forces are transferred; - support for the definition of unstructured, human-interpretable, requirements, coming from appointing party needs, laws and regulations or sector recommendations; - support for implicit groups having no explicit members (to model situations like "all main girders of some steel bridge"); - support for the explicit modelling of measurements reusing the existing W3C SOSA ontology (as a lightweight but self-contained SSN core ontology); - support for spatial geometry (location/shape) reusing OGC GeoSPARQL (GML/WKT) and the WGS84_pos ontology (GPS).