A Semantic-Based Methodology to Deliver Model Views of Forward Design for Prefabricated Buildings

Xu, Zhao; Wang, Jiali; Zhu, Haitao

doi:10.3390/buildings12081158

Cited by 15 publications

(7 citation statements)

References 36 publications

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“…The application of IFCOI in prefabricated buildings mainly focuses on design optimization and construction safety. Xu et al [140] used BIM to achieve the forward design of prefabricated assembly buildings and combined it with ontology for knowledge visualization and expression, thus solving the problems of data heterogeneity and lack of semantic expression. Shen et al [85] proposed an automated ontology-and BIM-based risk identification and response method so as to provide timely information and knowledge for safety risk decision making in prefabricated building construction.…”

Section: Prefabricated Buildingsmentioning

confidence: 99%

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Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

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Section: Prefabricated Buildingsmentioning

confidence: 99%

“…Compliance checking; model optimization IFC file; BIM model; design specification [24,28,32,40,57,68,76,77,[83][84][85][86][87]92,94,97,100,115,117,118,120,140,147,151,152,157]…”

Section: Design Phasementioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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“…In the construction domain, KG is considered to be the most advanced knowledge management technology nowadays [12]. KGs can essentially be termed as ontological semantic networks based on graphics [13], and its edges and paths can capture complex relations between the entities of a domain [14]. Terefore, KG has the potential to represent the intricate knowledge of bridge maintenance.…”

Section: Introductionmentioning

confidence: 99%

Building a Knowledge Base of Bridge Maintenance Using Knowledge Graph

Zhang

Liu

Hou

2023

Advances in Civil Engineering

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To effectively manage the heterogeneous and discrete knowledge of the bridge maintenance domain, this study adopts knowledge graph technology to build a knowledge base of bridge maintenance, called the bridge maintenance knowledge graph (BMKG). The BMKG uses an ontology as the knowledge organization and representation framework and a graph database as the knowledge storage tool. To facilitate the construction of the BMKG, a hybrid method combining a top-down approach and a bottom-up approach is proposed. Firstly, a bridge maintenance domain ontology (BMDO) is coded with Protégé and represented in Web Ontology Language. Secondly, rule reasoning and ontology reasoning are implemented on the BMDO in Protégé in order to automatically complete missing relations or attribute values. Thirdly, ontology reasoning is adopted to perform consistency check on the BMDO. Lastly, the BMDO model is stored in the Neo4j graph database through data format conversion, thus completing the construction of the BMKG. The BMKG is applied in a typical scenario of bridge maintenance to demonstrate its application value. Results show that the proposed hybrid method can create a knowledge graph that can realize the transformation from discrete data into interconnected knowledge. Knowledge graph offers a novel idea to create a knowledge base in the bridge maintenance domain.

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“…Xu Z proposed a model view transfer method for the forward design of prefabricated buildings. Data mapping and IfcDoc (Ifc Documentation Generator) tool output are used to complete the file generator transmission of model view, which can solve the problems of redundant model information, heterogeneous data information and low transmission efficiency [26].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Modeling of Edge Components of Prefabricated Shear Wall Structures Based on BIM

et al. 2023

Buildings

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Building Information Modeling (BIM) is a digital tool that can be used to create three-dimensional models of components. BIM technology, with its parameterized modeling scheme, can effectively address design changes. The use of BIM technology in prefabricated shear wall structures can significantly enhance component design accuracy and production efficiency. The Tekla software offers significant advantages in BIM deepening design. By utilizing the C# language, secondary development of the Tekla software, and the development of an intelligent modeling program for the edge components of prefabricated shear wall structures, the deepening design efficiency of such structures can be improved. The creation of BIM models is a crucial step in program development. Different types of reinforcements require various modeling methods, which, when combined with the design specifications of concrete structures, can be compiled to create the fine reinforcement model. This allows for the automatic creation of three-dimensional reinforcement models: “linear-shaped,” “T-shaped,” and “L-shaped” joints of the edge member. The BIM visualization characteristics can then display the three-dimensional model of the steel bar of the edge member in the cast-in-place area, deriving the engineering quantity of the steel bar for the production and construction of the prefabricated members. The modeling program’s development concept can serve as a reference for similar engineering applications, promoting the intelligent development of prefabricated building design and enhancing the efficiency of design and construction.

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A Semantic-Based Methodology to Deliver Model Views of Forward Design for Prefabricated Buildings

Cited by 15 publications

References 36 publications

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Building a Knowledge Base of Bridge Maintenance Using Knowledge Graph

Intelligent Modeling of Edge Components of Prefabricated Shear Wall Structures Based on BIM

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