Toward artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design
参考中译:面向多学科协同设计的人工智能云化建筑信息建模


          

刊名：Advanced engineering informatics
作者：Rafael Sacks（Technion - Israel Institute of Technology）
Zijian Wang（Technion - Israel Institute of Technology）
Boyuan Ouyang（Technion - Israel Institute of Technology）
Duygu Utkucu（Technion - Israel Institute of Technology）
Siyu Chen（Technion - Israel Institute of Technology）
刊号：738C0037
ISSN：1474-0346
出版年：2022
年卷期：2022, vol.53
页码：101711-1--101711-19
总页数：19
分类号：TP18; TP3
关键词：Building information modelling；Concurrent engineering；Design collaboration；Knowledge graphs；Semantic enrichment
参考中译：建筑信息建模；并行工程；设计协作；知识图；语义丰富
语种：eng
文摘：The technological tools people use for designing buildings have progressed from drawings to descriptive geometry, and from computer-aided drafting and design (CAD) to building information modelling (BIM). Yet despite their use of state-of-the-art BIM technology, the multidisciplinary teams that design modern buildings still face numerous challenges. Building models lack sufficient semantic content to properly express design intent, concurrent design is difficult due to the need for operators to maintain model consistency and integrity manually, managing design variations is cumbersome due to the packaging of information in files, and collaboration requires making-do with imperfect interoperability between application software. In response, we propose a 'Cloud BIM' (CBIM) approach to building modelling that seeks to automate maintenance of consistency across federated discipline-specific models by enriching models with semantic information that encapsulates design intent. The approach requires a new ontology to represent knowledge about the relationships between building model objects within and across disciplines. Discipline-specific building models are stored together with their data schema in knowledge graphs, and linked using objects and relationships from the CBIM ontology. The links are established using artificially intelligent semantic enrichment methods that recognize patterns of location, geometry, topology and more. Software methods that operate along CBIM relationship chains can detect inconsistencies that arise across disciplines and act to inform users, propose meaningful corrections, and apply them if approved. Future CBIM systems may provide designers with the functionality for collaborative multidisciplinary design by maintaining model consistency and managing versioning at the object level.
参考中译：人们用来设计建筑的技术工具已经从图纸到画法几何，从计算机辅助绘图和设计(CAD)到建筑信息建模(BIM)。然而，尽管他们使用了最先进的BIM技术，但设计现代建筑的多学科团队仍然面临着许多挑战。构建模型缺乏足够的语义内容来正确表达设计意图，并发设计由于操作员需要手动维护模型的一致性和完整性而困难，管理设计变化由于将信息打包在文件中而繁琐，以及协作需要在应用软件之间凑合不完善的互操作性。作为回应，我们提出了一种“Cloud BIM”(CBIM)方法来构建建模，该方法寻求通过使用封装设计意图的语义信息来丰富模型，从而自动维护联合规程特定模型之间的一致性。这种方法需要一个新的本体来表示关于学科内部和跨学科的建筑模型对象之间关系的知识。特定于学科的建筑模型与它们的数据模式一起存储在知识图中，并使用CBIM本体中的对象和关系进行链接。这些链接是使用人工智能语义丰富方法建立的，这些方法识别位置、几何、拓扑等模式。沿着CBIM关系链运行的软件方法可以检测跨学科出现的不一致，并采取行动通知用户，提出有意义的更正，并在获得批准后应用这些更正。未来的CBIM系统可以通过维护模型一致性和在对象级别管理版本来为设计者提供协作多学科设计的功能。



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