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

Michał Wyszomirski
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引用次数: 2

摘要

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