| 超前钻探地质预报的多参量融合系统开发 |
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| 引用本文： | 吴庆鸣,张强,陈东. 超前钻探地质预报的多参量融合系统开发[J]. 机械与电子, 2006, 0(10): 25-26 |
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| 作者姓名： | 吴庆鸣 张强 陈东 |
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| 作者单位： | 武汉大学,湖北,武汉,430072 |
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| 摘 要： | 介绍了一种超前钻探地质预报的多参量融合系统。超前地质预报的多参量信息融合模型的建立分别在数据物理层、通信控制层和决策应用层3个融合层次上进行，通过对4路传感器信号进行融合，建立了基于最小二乘法的参数与岩性间的定量分析方法，并给出了现场实测结果及判断。
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| 关 键 词： | 隧道掘进机 围岩类别 多参量融合 最小二乘法 |
| 文章编号： | 1000-2257（2006）10-0025-02 |
| 收稿时间： | 2006-04-17 |
| 修稿时间： | 2006-04-17 |
Multi-parameter Fusion Systematic Exploitation for Advance Drilling Geological Prediction |
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| WU Qing-ming,ZHANG Qiang,CHEN Dong. Multi-parameter Fusion Systematic Exploitation for Advance Drilling Geological Prediction[J]. Machinery & Electronics, 2006, 0(10): 25-26 |
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| Authors: | WU Qing-ming ZHANG Qiang CHEN Dong |
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| Affiliation: | Wuhan University, Wuhan 430072. China |
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| Abstract: | Introduced a multi -parameter fusion systematic exploitation for advance drilling geological prediction. The data fusion models that were based on data physical fusion layer, correspondence control fusion layer, decision application fusion layer. Signals from 4 channels were fused together, least -square method was applied to quantitative analysis between parameters and lithology. |
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| Keywords: | tunnel boring machine(TBM) rock masses classification multi-parameter fusion least-square method |
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