Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform

Currently, government departments in various regions are vigorously promoting the construction of smart cities. As a part of smart cities, quickly obtaining or creating three-dimensional spatial models of campuses is an important part of the basic framework of smart campus construction. Existing mod...

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Main Author: Liu Xinyu
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_01027.pdf
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author Liu Xinyu
author_facet Liu Xinyu
author_sort Liu Xinyu
collection DOAJ
description Currently, government departments in various regions are vigorously promoting the construction of smart cities. As a part of smart cities, quickly obtaining or creating three-dimensional spatial models of campuses is an important part of the basic framework of smart campus construction. Existing modeling methods have problems such as low modeling efficiency and difficult maintenance in the later stage. This article proposes a CGA (Computer Generated Architecture) parameterized 3D modeling method based on CityEngine, exploring the parameterized modeling rules of important modeling entities such as roads and buildings in university campuses. By expanding and customizing the modeling rules, campus road and building modeling rule templates are created. The results showed that the proposed method and texture mapping rules were used to achieve fast and accurate 3D scene modeling of the campus, avoiding a lot of repetitive modeling work and improving the efficiency of modeling work.
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spelling doaj.art-1a1b87e282274bcb82bc735d7a7548372024-04-12T07:41:52ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015120102710.1051/e3sconf/202451201027e3sconf_uct2024_01027Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus PlatformLiu Xinyu0School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and ArchitectureCurrently, government departments in various regions are vigorously promoting the construction of smart cities. As a part of smart cities, quickly obtaining or creating three-dimensional spatial models of campuses is an important part of the basic framework of smart campus construction. Existing modeling methods have problems such as low modeling efficiency and difficult maintenance in the later stage. This article proposes a CGA (Computer Generated Architecture) parameterized 3D modeling method based on CityEngine, exploring the parameterized modeling rules of important modeling entities such as roads and buildings in university campuses. By expanding and customizing the modeling rules, campus road and building modeling rule templates are created. The results showed that the proposed method and texture mapping rules were used to achieve fast and accurate 3D scene modeling of the campus, avoiding a lot of repetitive modeling work and improving the efficiency of modeling work.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_01027.pdf
spellingShingle Liu Xinyu
Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform
E3S Web of Conferences
title Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform
title_full Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform
title_fullStr Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform
title_full_unstemmed Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform
title_short Research on Rapid Parameterized Modeling of CityEngine in the Application of Smart Campus Platform
title_sort research on rapid parameterized modeling of cityengine in the application of smart campus platform
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_01027.pdf
work_keys_str_mv AT liuxinyu researchonrapidparameterizedmodelingofcityengineintheapplicationofsmartcampusplatform