semantical 3d city modeling

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    Semantical 3D city modeling - Implications in

    smart city design, development and maintenance.

    Guduru Raghunath Babu

    Vice President

    Geospatial Technologies

    Surbana International Consultants Pte Ltd

    Singapore

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    Basic understanding

    Business need

    Integration models

    Looking forward

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    The development of semantic 3D city models has

    brought in rapid changes in urban management such

    as emergency and catastrophe planning, checking

    building developments, and utility networks.

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    Geospatial semantic Analytics ( GSA)

    Semantic 3D models of form encode the geometry

    as well as the identity of key components of a facility,

    Ex: Building floors, walls, ceiling, stairs, accesses

    etc.

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    Geospatial semantic Analytics ( GSA)

    Volume of data for analytics

    Complex and non standard data models

    Tough to design and implement

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    Geospatial semantic Analytics ( GSA)

    Data collection

    Raster data

    Legacy data

    Urban planningdata

    Architecturaldata

    Engineering data

    Mobile scanning

    Inbuildingscanning

    Sensor data

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    Outside and inside building

    scanning results in a large

    datasets.

    It is needed to have a

    inherent automated data

    tagging modeling to manage

    and use the data

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    It is rapid and cost effective way to develop usable 3d

    data.

    For ex: Building paths ways, emergency exit and

    evacuation schemes.

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    Classification of building will help to access the

    Semantic library information quicker.

    External business analytics data integration will help

    to evaluate alternate methods quickly.

    Ex: total number of people in building and floor wisedistribution.

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    A simplified building model based cityGML

    specifications.

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    Spatial data elements as big as building blocs to as

    small as window shall have to developed as genericobjects.

    Element design and implementation is a multi

    domain and also have strong regulatory aspects.

    Ex: For a sustainable building, all the design and

    construct items shall have to reviewed by the

    Building control Authority of the city.

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    Existing Data

    GIS centers

    Agencies

    Survey

    Survey Dept

    Site Survey

    GIS

    Urban Planning

    Infrastructure

    Architecture

    Landscape

    Engineering

    Project Monitoring/IT System

    GIS

    Businessdata

    BIM

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    Most of the valuable information and analysis is

    lost in the transition..Urban design

    &

    Architecture

    Detailed

    EngineeringConstruction Maintenance

    Endangered species ( elements) are

    Sustainable zoning guidelines

    Community themes

    Socioeconomic design and fabric plan.

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    CityGML plays a key role in making GIS & BIM to work together.

    Initiative of OGC to give a semantic city model ( since 2005) isthe first step to integrate 3D GIS models into upstream activities.

    BIM follows IFC standards which will also handle schedule, cost

    estimates, along with walls, roofs, floors, doors and other objects

    of building inventory.

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    3D modeling for spatial data is multi faceted and incremental.

    Handover and hand holding with next player should be done

    with a greater care and understanding.

    Geometric data+ Semantic models+ Business Analytics = based for

    Sustainable smart city design, development and maintenance.