Source Journal for Chinese Scientific and Technical Papers
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Volume 54 Issue 5
May  2024
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Article Contents
YU Caizhao, WANG Haitao, SONG Tianshuai, ZHENG Jiarong, LIU Zhansheng, YANG Kai, LIU Junjie. A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 16-24. doi: 10.3724/j.gyjzG23111320
Citation: YU Caizhao, WANG Haitao, SONG Tianshuai, ZHENG Jiarong, LIU Zhansheng, YANG Kai, LIU Junjie. A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 16-24. doi: 10.3724/j.gyjzG23111320

A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data

doi: 10.3724/j.gyjzG23111320
  • Received Date: 2023-11-13
    Available Online: 2024-06-22
  • With the continuous improvement of the level of informationization, the drawbacks of the traditional as-built delivery mode are becoming more and more prominent. In order to solve the problems of low efficiency of traditional as-built delivery and poor availability of delivery data in large underground space scenarios, a digital delivery method that integrates multi-source and multi-dimensional data with database as the core was proposed. Firstly, the digital twin framework for large underground spaces was established, and the digital delivery process was proposed based on this framework, and the collection, transmission, storage and management methods of delivery data were also proposed; then, according to the multi-source and multi-dimensional characteristics of the delivery data of large underground space scenarios, the design principles of the delivery platform, the delivery content, the functional framework and the application scenarios were discussed in detail; finally, the digital delivery work was carried out by combining the engineering examples, and the results showed that the proposed digital delivery method could be utilized by the database as the core of the delivery data. Finally, the digital delivery work was carried out with engineering examples, and the results showed that the proposed delivery method could significantly improve the delivery efficiency and save the management cost, and at the same time formed data assets with certain economic and information value.
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