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Multi-Source Data Fusion Method Research on the Reconstruction and Expansion Project of Long-Line Expressway.

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Title: Multi-Source Data Fusion Method Research on the Reconstruction and Expansion Project of Long-Line Expressway.
Authors: Yinghao CHEN1,2 chen.yh@rioh.cn, Jie GUO1,3 Vickyfhsz@163.com, Chaowei HAO1,3 cw.hao@rioh.cn, Chengzhe SONG1,4 songzhe0323@163.com
Source: Technical Gazette / Tehnički Vjesnik. 2025, Vol. 32 Issue 1, p149-156. 8p.
Subjects: Life cycles (Biology), Multisensor data fusion, Relief models, Coordinate transformations, Geographic information systems
Abstract: At present, the application scenarios based on BIM+GIS technology are widely used in various infrastructure industries. However, in the process of 2D to 3D transformation, the application scenarios of multi-source heterogeneous data fusion in the reconstruction and expansion projects of long lines and highways have not yet been studied. This paper focuses on the reconstruction and expansion project of long-line expressway, classifies the data according to the characteristics of the project, establishes the model coding suitable for the whole life cycle, and proposes a model coding processing method based on json mapping form, which improves the maintenance of the model and coding. This paper proposes a set of data lightening methods for the whole process, aiming at data lightening for terrain and structural models with large volumes, and realizing the load lightening capability after large volumes of data enter the platform. At the same time, in order to ensure the consistency of model information data content and spatial location accuracy, a set of BIM and GIS data coupling verification method and a positioning method of coordinate system transformation between new and old structures are established. Finally, the application value of multi-source heterogeneous data fusion is verified through the reconstruction and expansion project data of a long expressway. The results show that the whole life cycle encoding mode using json mapping form improves the usability of the model and encoding. The lightweight processing of large data improves the loading capability of data. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:At present, the application scenarios based on BIM+GIS technology are widely used in various infrastructure industries. However, in the process of 2D to 3D transformation, the application scenarios of multi-source heterogeneous data fusion in the reconstruction and expansion projects of long lines and highways have not yet been studied. This paper focuses on the reconstruction and expansion project of long-line expressway, classifies the data according to the characteristics of the project, establishes the model coding suitable for the whole life cycle, and proposes a model coding processing method based on json mapping form, which improves the maintenance of the model and coding. This paper proposes a set of data lightening methods for the whole process, aiming at data lightening for terrain and structural models with large volumes, and realizing the load lightening capability after large volumes of data enter the platform. At the same time, in order to ensure the consistency of model information data content and spatial location accuracy, a set of BIM and GIS data coupling verification method and a positioning method of coordinate system transformation between new and old structures are established. Finally, the application value of multi-source heterogeneous data fusion is verified through the reconstruction and expansion project data of a long expressway. The results show that the whole life cycle encoding mode using json mapping form improves the usability of the model and encoding. The lightweight processing of large data improves the loading capability of data. [ABSTRACT FROM AUTHOR]
ISSN:13303651
DOI:10.17559/TV-20240424001492