| 时序分析在开采沉陷动态参数预计中的应用 |
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| 引用本文： | 吴侃,靳建明.时序分析在开采沉陷动态参数预计中的应用[J].中国矿业大学学报,2000,29(4):413-415. |
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| 作者姓名： | 吴侃 靳建明 |
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| 作者单位： | 中国矿业大学,采矿工程系,江苏,徐州,221008 |
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| 基金项目： | 国家自然科学基金重点资助项目(59634030) |
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| 摘 要： | 应用时间序列分析法，对开采沉陷动态过程的概率积分法预计参数进行分析，建立动态预计模型。用该模型可对参数的未来值进行预计，然后利用预计结果进一步预计地表的移动变形，解决了开采沉陷的动态预计问题。应用此法，地表下沉的相对预计误差一般为４％左右，与传统方法相比，预计精度可提高５％～１５％。
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| 关 键 词： | 时序分析 开采沉陷 参数 预计 |
| 文章编号： | 1000-1964(2000)04-0413-03 |
| 修稿时间： | 1999-07-02 |
Prediction of Dynamic Mining Subsidence Parameters by Time Series Analysis Method |
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| WU Kan,JIN Jian-ming.Prediction of Dynamic Mining Subsidence Parameters by Time Series Analysis Method[J].Journal of China University of Mining & Technology,2000,29(4):413-415. |
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| Authors: | WU Kan JIN Jian-ming |
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| Affiliation: | WU Kan
,JIN Jian-ming
(Department of Mining Engineering, CUMT, Xuzhou, Jiangsu 221008, China) |
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| Abstract: | By the analysis of the parameters of probability integration model for mining subsidence, the time series model of the parameters was built. With this model, values of the parameters can be predicted. As a result, surface subsidence can be estimated. This model can solve the problem of dynamic prediction of mining subsidence. A field prediction result shows that its relative error is about 4 percent. Compared with the traditional prediction method, time series method can improve the prediction accuracy from 5 percent to 15 percent. |
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| Keywords: | time series analysis mining subsidence parameter prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
