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Fusing Minimal Unit Probability Integration Method and Optimized Quantum Annealing for Spatial Location of Coal Goafs

  • Surveying and Geo-Spatial Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Accurately detecting the location of the goafs is an effective method for coordinating underground mining and surface engineering construction and realizing illegal mining supervision. Aiming at the problems of the existing solution methods of goaf spatial characteristic parameters, a spatial location identification method of coal underground goaf with fusing minimal unit probability integration method and optimized quantum annealing is proposed. Meanwhile, to study the characteristics and stability of the proposed model, the advantages and disadvantages of space movement vector data, the robust ability of the method, and the application of multi-source data are discussed in the Discussions. Finally, the achievements of this paper apply to 1414 (1) working face of Gubei Coal Mine in Huainan. The results show the model can accurately identify the location and boundary of the goaf. The research achievements have important theoretical and practical significance for solving problems of land resource reuse in mining areas lacking geological mining data, coal mine safety production, and the supervision of illegal mining.

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Acknowledgments

This work was supported by the [National Natural Science Foundation of China] under Grant [51974292, 51804301, 52074010]; and [Postgraduate Research & Practice Innovation Program of Jiangsu Province] under Grant [KYCX21_2294].

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Resources and Environment Information Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Tao Wei, Guangli Guo, Huaizhan Li, Xiangsheng Yang & Yuezong Wang

  2. NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou, 221116, China

    Tao Wei, Guangli Guo, Huaizhan Li, Xiangsheng Yang & Yuezong Wang

  3. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China

    Tao Wei, Guangli Guo, Huaizhan Li, Xiangsheng Yang & Yuezong Wang

  4. School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan, 232001, China

    Lei Wang

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  1. Tao Wei
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  2. Guangli Guo
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  3. Huaizhan Li
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  4. Lei Wang
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  5. Xiangsheng Yang
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Correspondence to Guangli Guo.

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Wei, T., Guo, G., Li, H. et al. Fusing Minimal Unit Probability Integration Method and Optimized Quantum Annealing for Spatial Location of Coal Goafs. KSCE J Civ Eng 26, 2381–2391 (2022). https://doi.org/10.1007/s12205-022-1034-0

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  • DOI: https://doi.org/10.1007/s12205-022-1034-0

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