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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
岩移观测数据处理及曲面拟合参数求取研究
  • Title

    Study on Data Processing of Rock Strata Displacement Observation and Parameters Calculation of Curved Surface Fitting

  • 作者

    李春意陈洁

  • 单位

    河南理工大学测绘与国土信息工程学院

  • 摘要
    针对传统观测站布设和数据处理存在的问题,提出了任意方向水平移动量的计算方法;构建了矩形工作面开采曲面拟合下沉和水平移动函数模型;研究了垂向偏差系数对主要影响半径产生的影响;对比分析了曲面拟合和非线性曲线拟合所得的预计参数。结果表明,当垂向偏差系数小于某个固定值时,用平均开采深度代替走向主断面的开采深度引起的偏差不会超过10%,否则,就不能忽略其对主要影响半径造成的影响;与非线性曲线拟合相比,下山和上山方向的水平移动系数精度分别提高了6.3%和3.3%,主要影响角正切精度分别提高了3.6%和6.0%,开采影响传播角系数拟合精度提高了13.3%,且拟合结果不受工作面采动程度的限制。
  • Abstract
    Based on the analysis on the problems existed in the layout of the traditional observation station and the data processing, a calculation method of the an y direction horizontal moving value was provided.A mining curved surface of the rectangular coal mining face ftting the subsidence and horizontal moving function mod el was established.The paper studied the vertical offset coefficient affected to the main influence radius occurred. The predicted parameters obtained from the curve ftti ng and nonlinear curve ftting were compared and analyzed.The results showed that when the vertical offset cofficient was smaller than a fixed value, the offset occurr ed by the average mining depth replaced to the strike main cross section mining depth would not be over 10% .Otherwise the influence caused by the main influence rad ius should be considered.In comparison with the nonlinear curve ftting, the accuracy of the horizontal moving coefficient in dip and rise direction could be improved by 6.3% and 3.3% individually.The tangent accuracy of the main influence angle was individually improved by 3.6% and 6.0%.The ftting accuracy of the propagation angle coefficient affected by the mining was improved by 13.3%.Thus the ftting results would not be restricted by the mining of the coal mining face.
  • 关键词

    开采沉陷概率积分曲面拟合数据处理岩移观测站

  • KeyWords

    mining subsidence;probability integral;curved surface ftting;data processing;strata displacement observation;

  • 基金项目(Foundation)
    国家自然科学基金资助项目(41101520,41071328,51074064);河南理工大学博士基金资助项目(648558);
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