Izvorni znanstveni članak
https://doi.org/10.7307/ptt.v37i5.956
Integrated Algorithm for Multi-Source Data Conversion of Rail Transit Digital Model Based on BIM+GIS
Chao CHEN
; School of Information Engineering, Guangzhou Railway Polytechnic, Guangzhou, China
Sažetak
Data formats, data structures and coordinate systems differ across data sources, hindering data conversion and integration. Therefore, a multi-source data conversion and integration algorithm of rail transit digital model based on BIM+GIS is proposed. Based on the B/S architecture of the Cesium open-source map engine, an integrated framework for rail transit digital multi-source data conversion, with BIM+GIS technology at its core, has been developed. In the data layer, tilt photogrammetry technology is employed to collect topographic data of rail transit, vector data is gathered through a tilt model and BIM data is generated in response to the demands of rail transit construction. The GIS model is constructed based on terrain data and vector data, while the BIM model is established using BIM data. The business logic layer handles and publishes multi-source data through BIM servers, GIS servers and other information databases. The transformation integration unit uses a spatial semantic integration algorithm to integrate data transformation from the BIM model into the GIS model, thereby achieving complete transformation and integration of BIM and GIS multi-source data in geometry, semantics and accuracy. Finally, the outcomes of multi-source data conversion and integration are presented to users via the presentation layer. Experiments show that the algorithm can effectively collect the terrain data of rail transit and establish a BIM model and GIS model. We transformed multisource data of an integrated rail transit digital model to improve its comprehensiveness, accuracy and reliability.
Ključne riječi
BIM model; GIS model; rail transit; digital model; multisource data; transformation integration
Hrčak ID:
335999
URI
Datum izdavanja:
25.9.2025.
Posjeta: 402 *