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Research on urban 3D geological modeling based on multi-modal data fusion: a case study in Jinan, China

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Abstract

Urban underground 3D geological modeling can accurately express various geological phenomena and provide a decision-making basis for urban planning and geological analysis. The construction of smart cities has put forward new requirements for the automation and intelligence of urban geological 3D modeling. Geological survey reports are important reference data for urban geological 3D modeling. However, a large number of geological maps, geophysical data, and other geographic quantitative data of geological science surveys have been buried in geological survey literature and have not been effectively used. Currently, the development of data mining and information extraction technology provides the possibility to integrate these data into 3D geological modeling. Therefore, this study designed the workflow of 3D geological modeling using a geological survey report. First, after the geological survey report was deconstructed, the geological text information was recognized and extracted using geological dictionary matching and pattern rule matching, and the integration of knowledge was provided in the form of a knowledge graph. Then, the drilling information and table data in the drilling histogram are automatically extracted. Through these methods, the unstructured geological survey report can be transformed into structured data and integrated into the 3D geological modeling process. Finally, the 3D geological modeling of the Bridge Group in Jinan based on the Jinan urban geological survey report was taken as an example to verify the feasibility of the proposed method and demonstrate the potential of text mining and information extraction of geological survey reports for 3D geological modeling, which provides geological data support for the transformation of old and new kinetic energy and the construction of major projects of government departments.

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The data in this manuscript have not been published elsewhere.

Notes

  1. https://github.com/atlanhq/camelot.

  2. https://gate.ac.uk/.

  3. https://geocloud.cgs.gov.cn/.

  4. https://opencv.org/.

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Acknowledgements

We would like to thank the anonymous reviewers for carefully reading this paper and their very useful comments. We thank the Shandong Institute of Geological Survey for providing data support. We thank the Jinan Zhongan Digital Technology Co., Ltd for providing technology support.

Author information

Authors and Affiliations

  1. Institute of Architectural Engineering, Shandong University of Technology, Zibo, China

    Can Zhuang

  2. Shandong Institute of Geological Survey, Jinan, China

    Henghua Zhu, Wei Wang, Bohan Liu, Yuhong Ma, Jing Guo, Chunhua Liu, Huaping Zhang & Fang Liu

  3. Jinan Zhongan Digital Technology Co., Ltd, Jinan, China

    Liangliang Cui

Authors
  1. Can Zhuang
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  2. Henghua Zhu
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  3. Wei Wang
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  4. Bohan Liu
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  5. Yuhong Ma
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  6. Jing Guo
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  7. Chunhua Liu
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  8. Huaping Zhang
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  9. Fang Liu
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  10. Liangliang Cui
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis: Can Zhuang, Henghua Zhu, Wei Wang, Bohan Liu, Yuhong Ma, Jing Guo, and Chunhua Liu; Performed the experiments: Can Zhuang, Henghua Zhu, Wei Wang, Bohan Liu, Yuhong Ma, Jing Guo and Liangliang Cui; Analyzed the data: Huaping Zhang and Fang Liu; Wrote the paper: Can Zhuang, Henghua Zhu, Wei Wang, Bohan Liu, Yuhong Ma, and Jing Guo. All authors reviewed the final manuscript.

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Correspondence to Chunhua Liu.

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Communicated by: H. Babaie

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Zhuang, C., Zhu, H., Wang, W. et al. Research on urban 3D geological modeling based on multi-modal data fusion: a case study in Jinan, China. Earth Sci Inform 16, 549–563 (2023). https://doi.org/10.1007/s12145-022-00897-2

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