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A Model Base Framework for the Risk Assessment and Prevention of Geological Disasters in Coal Mines

  • Yong SunEmail author
  • Fengxiang Jin
  • Min Ji
  • Huimeng Wang
  • Ting Li
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 980)

Abstract

To evaluate geological hazards in mines effectively and systematically, we proposed an object-oriented model base framework that realizes model management and model reuse. This framework supports model generation, data storage, operation, analysis, prediction and application and includes model building and model management. When building the model, 7 commonly used disaster assessment models are encapsulated as model classes and model instances that are represented as objects. Model management includes evaluation factor management, model addition, modification, deletion and so on. In addition, the framework makes full use of the spatial data processing capabilities of Geographic Information System (GIS) to perform spatial analysis and prediction. We also applied the framework to the serious exploitation area of a mine in the Fangshan District, Beijing. The results showed that the proposed model base has strong operability and practical value and could provide early warnings for the geological hazards of coal mine areas.

Keywords

Geological disasters Model base Evaluation Prevention Geographic Information System Spatial analysis Coal mine 

Notes

Acknowledgments

This work was supported in part by a grant from the National Science Foundation of China (41471330), the Primary Research & Development Plan of Shandong Province (2016GSF117017) and the National Key Technology R&D Program of the Ministry of Science and Technology (2012BAH27B04).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yong Sun
    • 1
    Email author
  • Fengxiang Jin
    • 2
  • Min Ji
    • 1
  • Huimeng Wang
    • 3
  • Ting Li
    • 1
  1. 1.Geomatics CollegeShandong University of Science and TechnologyQingdaoChina
  2. 2.Shandong Jianzhu UniversityJinianChina
  3. 3.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources ResearchChinese Academy of SciencesBeijingChina

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