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>UNE EN 17632-2:2024 - Building information modelling (BIM) - Semantic modelling and linking (SML) - Part 2: Domain-specific modelling patterns (Endorsed by Asociación Española de Normalización in December of 2024.)
sklademVydáno: 2024-12-01
UNE EN 17632-2:2024 - Building information modelling (BIM) - Semantic modelling and linking (SML) - Part 2: Domain-specific modelling patterns (Endorsed by Asociación Española de Normalización in December of 2024.)

UNE EN 17632-2:2024

Building information modelling (BIM) - Semantic modelling and linking (SML) - Part 2: Domain-specific modelling patterns (Endorsed by Asociación Española de Normalización in December of 2024.)

Modelado de información de construcción (BIM). Modelado y enlaces semánticos (SML). Parte 2: Patrones de modelado específico de un dominio (Ratificada por la Asociación Española de Normalización en diciembre de 2024.)

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Označení normy:UNE EN 17632-2:2024
Počet stran:71
Vydáno:2024-12-01
Status:Norma
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UNE EN 17632-2:2024

This part 2 will provide extended 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 & 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)

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