A Novel HDF‐Based Data Compression and Integration Approach to Support BIM‐GIS Practical Applications

Abstract

Constructing a fully mapped virtual world is the premise of establishing the digital twin system; thus, the integration of BIM (Building Information Modeling) and GIS (Geographic Information System) constitutes a fundamental part of the mature digital twin. Although quite a few theoretical unified data models of BIM and GIS integration have been presented in precedent research, the practical web-based applications and software support for real-world city information modeling are still difficult to achieve. One of the challenges is storage inefficiency. It thence leads to burdens in exchange and analysis, which hugely impede the realization of virtual-real fusion. To address that issue, in this research, we contribute to exploring an HDF- (Hierarchical Data Format-) based, innovative, and synthesized scheme with three significant technical processes. First, data reorganization trims the original data with efficient redundancy elimination and reordering for IFC-SPF (IFC STEP Physical File) and XML-encoded CityGML (City Geography Markup Language). Next, bidirectional transformation methods for BIM and GIS modeling data, images, and analytical data into HDF are proposed. They retain the entities and relationships in modeling data and can further improve the compactness and accessibility by ultimately 60%–80% which saves 497,612 KB from 565,152 KB in the test of ZhongChun transformation substation. Finally, data aggregation enhances the bond of the integrated model and heterogeneous data resources from the transformed HDF files. The case studies show that the approach proposed in this paper could reach high efficiency for practicability of the BIM + GIS integration model. This light-weight integration method can further improve the front-end service responsiveness in digital twin applications.

From building to city level dynamic digital Twin: a review from data management perspective

“…One direction is to develop a shared data environment among different geometric representation data. For example, the efficient mapping between BIM and GIS was a critical issue that has been addressed by [10,[23][24][25]. Another direction is to create the shared data environment or data integration between geometric representation data and other non-geometric representation data sources regarding a building or a city's operational purposes.…”

“…The web-based studies can be categorised into two types. Firstly, the web-based platforms or data environments were built up as the "engine" that offers APIs for developers to create complete DT systems with various services [10,23,28]. Secondly, another type was a fully developed web-based DT platform or system that can be used by stakeholders [7,9,25,26].…”

“…Other game engines like Unreal Engine and Unity also contribute to this area. Provided updated BIM and GIS integration environment for smart city [10,31] IoT-based data acquisition framework BIM, IoT developed a framework in using IoT devices and networks to establish a data acquisition system for buildings (and potentially community or city) [21] HDF-based BIM and GIS integration approach BIM, GIS an approach that created a city DT with enhanced storage efficiency [23] Online digital twin interaction diagram for smart city BIM, IoT indicated different layers of information in the city and, platform was built for urban planning for the public [26] An urban digital twin 3D model BIM, LiDAR, GIS, wind simulation data etc 3D model of the city was developed for citizen participatory and environmental simulation [9] A Digital geoTwin for City Information Modelling (CIM) BIM, GIS, other data e.g., census, economic, energy in the future provided a strategy to create the geoTwin integrating BIM/GIS data as the basis of CIM [24] A system of DTs for the City of Zurich BIM, GIS, Open Government Data developed an urban digital twin environment for multiple city purposes [32] A web-based environment of realistic BIM and GIS information BIM, GIS, aerial photogrammetry provided the integrated data environment for cadastral management [25] A smart city digital twin architecture Semantic information of city management e.g., urban planning, land use, energy, emergency supported knowledge representation and reasoning with machine learning and tested with energy use analysis [27] Virtual Singapore platform multiple…”

Ginger Product Price Information Based on Semantic Heterogeneity of Multisource Network Information

“…is is not only authoritative, but also covers the price information of agricultural products in almost all provinces of the country [8,9].…”

Relationship between digital twin and building information modeling: a systematic review and future directions

“…Therefore, project data must be appropriately handled and communicated to be effectively disseminated to all stakeholders as well as to improve project performance (Bond-Barnard et al , 2013). DT can address those issues by allowing construction project stakeholders to interact more effectively as a team (Pan et al , 2020). In other words, not adopting DT in construction projects may lead to inefficient data communication between project stakeholders (Tao et al , 2018).…”