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Intelligent Monitoring and Simulation of the Whole Life Cycle of Coal Mining Process and Water Quantity and Quality in Coal and Water Coordinated Development Under Large Data

  • Yu-zhe Zhang
  • Xiong WuEmail author
  • Ge Zhu
  • Chu Wu
  • Wen-ping Mu
  • Ao-shuang Mei
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1117)

Abstract

Coal is China’s main energy, and this situation in the future in a long period of time is unlikely to have fundamental changes. As an underground activity, coal mining inevitably causes local damage and pollution to underground water cut system due to improper application of coal mining technology. And a large number of mine drainage, not only need to spend a lot of drainage costs, increase the cost of coal production, but also waste very valuable water resources. In this paper, based on the water - coal, on the basis of coordination development, through big data analysis methods, proposes the establishment process of coal mining and mine water quality, and the whole life cycle of the coal - water coordination development precision control technology system, through a series of research on the laws of the evolution of time and space and nonlinear multiobjective model building and simulation development plan, research and development of the evaluation method of mine water resource utilization efficiency and benefit, help to realize the coordinated development of the coal - water control in whole life cycle of technology. So as to realize the exploitation and utilization of mine drainage and turn waste into treasure, it can not only relieve the tight situation of water supply in coal mines, but also reduce the environmental pollution caused by coal mining to the mining areas and surrounding cities, and realize the unity of economic and environmental benefits.

Keywords

Large data analysis Coordinated development Full life cycle Evaluation method DEA model 

Notes

Acknowledgements

This work was supported by National Key R&D Program of China (No. 2018YFC0406400).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yu-zhe Zhang
    • 1
  • Xiong Wu
    • 1
    Email author
  • Ge Zhu
    • 1
  • Chu Wu
    • 1
  • Wen-ping Mu
    • 1
  • Ao-shuang Mei
    • 1
  1. 1.School of Water Resource and EnvironmentChina University of GeosciencesBeijingChina

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