矿山开采沉陷预计与分析

    Prediction and Analysis of Mine Mining Subsidence

    • 摘要: 针对现有开采沉陷预计方面存在的问题,在前人研究的基础上,利用VB编程语言,借鉴和吸收了不同系统开发的方法和优势,将观测站数据处理与绘图、概率积分参数反演、地表沉陷预计、地表沉陷预计数据后处理等功能进行集成加工,开发了矿山开采沉陷预计和分析系统。系统各功能连接紧密,实现了利用原始观测站数据对地表沉陷盆地进行定量预计与分析,提高了煤矿开采地表沉陷预计结果的效率和可靠性。

       

      Abstract: In view of the problems existing in mining subsidence prediction, on the basis of previous studies, using VB programming language, referencing and assimilating the methods and advantages of different systems development, we developed mining subsidence prediction and analysis system by integrated processing of observation station data processing and plotting, parameter inversion based on probability integral method, surface subsidence prediction and surface subsidence prediction data processing and other functions. Each function of the system is close connection, and the system can use the original observation station data to quantitatively predict and analyze surface subsidence basin and improve the coal mining subsidence prediction efficiency and reliability of the results.

       

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