Analysis of the possibility of using key-value store NoSQL databases for IFC data processing in the BIM-GIS integration process

Michał Wyszomirski
{"title":"Analysis of the possibility of using key-value store NoSQL databases for IFC data processing in the BIM-GIS integration process","authors":"Michał Wyszomirski","doi":"10.2478/pcr-2022-0002","DOIUrl":null,"url":null,"abstract":"Abstract The article discusses the possibility of using Redis key-value NoSQL database to process building data in different BIM-GIS integration solutions. Whichever data integration model is adopted, it will require an efficient serving of building data in Industry Foundation Classes (IFC) format. The author proposed a method of processing building data in the Redis database to support the process of feeding IFC data to his own concept of an integrated BIM-GIS database. However, other approaches to BIM-GIS integration, including the import of IFC data to CityGML, or the construction of an integrated BIM-GIS solution based on data integration at the application server level or client application in client-server environments, also require an efficient IFC data serving mechanism. This article describes three methods of storing IFC data in a Redis database using different data types and formats. The author conducted performance tests of the proposed methods in the processing of fourteen test BIM models. The article contains detailed results of the model processing tests in the Redis database.","PeriodicalId":30929,"journal":{"name":"Polish Cartographical Review","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish Cartographical Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/pcr-2022-0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Abstract The article discusses the possibility of using Redis key-value NoSQL database to process building data in different BIM-GIS integration solutions. Whichever data integration model is adopted, it will require an efficient serving of building data in Industry Foundation Classes (IFC) format. The author proposed a method of processing building data in the Redis database to support the process of feeding IFC data to his own concept of an integrated BIM-GIS database. However, other approaches to BIM-GIS integration, including the import of IFC data to CityGML, or the construction of an integrated BIM-GIS solution based on data integration at the application server level or client application in client-server environments, also require an efficient IFC data serving mechanism. This article describes three methods of storing IFC data in a Redis database using different data types and formats. The author conducted performance tests of the proposed methods in the processing of fourteen test BIM models. The article contains detailed results of the model processing tests in the Redis database.
分析了在BIM-GIS集成过程中使用键值存储NoSQL数据库进行IFC数据处理的可能性
摘要本文讨论了在不同的BIM-GIS集成解决方案中使用Redis键值NoSQL数据库处理建筑数据的可能性。无论采用哪种数据集成模型,都需要以工业基础类(Industry Foundation Classes, IFC)格式高效地为构建数据提供服务。作者提出了一种在Redis数据库中处理建筑数据的方法,以支持将IFC数据输入到他自己的BIM-GIS集成数据库概念的过程。然而,BIM-GIS集成的其他方法,包括将IFC数据导入CityGML,或构建基于应用服务器级数据集成的BIM-GIS集成解决方案或客户端-服务器环境中的客户端应用程序,也需要高效的IFC数据服务机制。本文介绍了使用不同的数据类型和格式在Redis数据库中存储IFC数据的三种方法。作者在14个测试BIM模型的处理中对所提出的方法进行了性能测试。本文包含了Redis数据库中模型处理测试的详细结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信