LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM

In a transformation process to become a climate-neutral city campus, universities have to deal with the sustainable concept. Since “human factor” plays a significant role in the transformation process, providing easy access to environmental data to influence building occupants’ behavior is essential...

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Main Authors: R. Sihombing, V. Coors
Format: Article
Language:English
Published: Copernicus Publications 2018-09-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W7/129/2018/isprs-annals-IV-4-W7-129-2018.pdf
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author R. Sihombing
V. Coors
author_facet R. Sihombing
V. Coors
author_sort R. Sihombing
collection DOAJ
description In a transformation process to become a climate-neutral city campus, universities have to deal with the sustainable concept. Since “human factor” plays a significant role in the transformation process, providing easy access to environmental data to influence building occupants’ behavior is essential. By utilizing energy-related data without spatial attribute and existing building geospatial data, data visualization in a web browser can be established for both 2D and 3D platforms. Our implementation presents a visualization of indoor sensor measurement data, where the same geospatial data can be used for both 2D and 3D visualizations even though the 3D platform needs an adjustment. Our approach results in a monitoring tool prototype based on visualization of indoor sensors measurement data, which can be accessed easily in a web browser by all building occupants.
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spelling doaj.art-9a606a39ec7745e09d5825241ddf31c72022-12-22T03:16:12ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502018-09-01IV-4-W712913410.5194/isprs-annals-IV-4-W7-129-2018LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEMR. Sihombing0V. Coors1University of Applied Science Stuttgart, 70174 Stuttgart, GermanyUniversity of Applied Science Stuttgart, 70174 Stuttgart, GermanyIn a transformation process to become a climate-neutral city campus, universities have to deal with the sustainable concept. Since “human factor” plays a significant role in the transformation process, providing easy access to environmental data to influence building occupants’ behavior is essential. By utilizing energy-related data without spatial attribute and existing building geospatial data, data visualization in a web browser can be established for both 2D and 3D platforms. Our implementation presents a visualization of indoor sensor measurement data, where the same geospatial data can be used for both 2D and 3D visualizations even though the 3D platform needs an adjustment. Our approach results in a monitoring tool prototype based on visualization of indoor sensors measurement data, which can be accessed easily in a web browser by all building occupants.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W7/129/2018/isprs-annals-IV-4-W7-129-2018.pdf
spellingShingle R. Sihombing
V. Coors
LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM
title_full LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM
title_fullStr LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM
title_full_unstemmed LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM
title_short LINKING 3D BUILDING MODELS, MAPS AND ENERGY-RELATED DATA IN A WEB-BASED VISUALIZATION SYSTEM
title_sort linking 3d building models maps and energy related data in a web based visualization system
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W7/129/2018/isprs-annals-IV-4-W7-129-2018.pdf
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