Applied research on BIM + GIS + IoT multi-source heterogenous data fusion

Jie Peng; Xian Cui; Kun Jia; Bin Liu; Tao Lei; Pengpeng Zhao; Peishu Liu

doi:10.1117/12.2668077

20 April 2023 Applied research on BIM + GIS + IoT multi-source heterogenous data fusion

Jie Peng, Xian Cui, Kun Jia, Bin Liu, Tao Lei, Pengpeng Zhao, Peishu Liu

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126022L (2023) https://doi.org/10.1117/12.2668077
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

In general, modern construction projects are characterized by large construction scale, high construction difficulty, and complex project management and data information analysis. Hence, various technologies should be fused and integrated to comprehensively and effectively manage the project construction. In this paper, a multi-source heterogeneous data fusion technology, which combined building information modelling (BIM), geographic information system (GIS), and Internet of Things (IoT) (BIM + GIS + IoT Multi-Source Heterogenous Data Fusion), was systematically explored to achieve a total factor, data sensing, and heterogeneous fusion concept. Then, the BIM + GIS scene-based 3D modelling technology was discussed from three aspects: total factor information 3D modelling, model tiled loading, and ultra-large model lightweight processing. With a tunnel construction project combined, a tunnels Internet-based construction management platform was developed on the basis of BIM + GIS + IoT multi-source heterogeneous production data fusion, thereby realizing the organic integration of virtual model information and total factor production information. Furthermore, the platform provided the capability of monitoring core indexes such as gas, geology, personnel, and progress involved in the tunnel construction, which facilitated the dynamic visual management of the construction process and enhanced management efficiency.

Citation Download Citation

Jie Peng, Xian Cui, Kun Jia, Bin Liu, Tao Lei, Pengpeng Zhao, and Peishu Liu "Applied research on BIM + GIS + IoT multi-source heterogenous data fusion", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126022L (20 April 2023); https://doi.org/10.1117/12.2668077

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KEYWORDS

3D modeling

Data modeling

Geographic information systems

Technology

Data fusion

Modeling

Data acquisition

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