地下浅层爆炸震源分布式测量信号一致性分析

发布时间：2018-06-01 22:20

本文选题：无线传感器网络 + 地下爆炸　；参考：《中北大学》2015年硕士论文

【摘要】：利用分布式无线传感器网络获取的地下爆炸震动源信号是实现地下震源定位的一种有效方法。由于布设传感器节点多，受地理及其布设环境等因素的影响，，所获取数据的有效性成为影响定位精度的重要因素。本文重点研究了数据的有效性与甄别方法。本文基于地下震动信息获取系统和影响数据可靠性因素的分析，提出了通过信号的一致性分析判断数据的有效性、剔除无效数据的方法。在研究了地下浅层爆炸产生的震动波的产生、传播规律及类型的基础上，利用希尔伯特-黄分析了震源信号的特征，确定了震源信号的频谱特征。针对在震动信息获取过程中受传感器节点一致性、传感器节点布设以及数据传输过程中的影响，提出了通过获取各节点的地震源信号的时移特征实现初至波到时的提取、消除时移影响的方法：利用各节点信号初至波到时进行了时间校正，然后对校正信号进行信号甄别。基于地下浅层爆炸震源唯一的特点，采用了频谱相关性分析和主成分法分析法，提取各节点信号的相似成分，进行匹配比较，剔除畸变数据，实现各节点信号的一致性甄别。结果表明，结合两种一致性分析方法的结果，可以实现有效地震动数据的筛选，为提高震源定位精度奠定了基础。该方法可应用于其他震动信息可靠性分析的研究中。
[Abstract]:It is an effective method to realize the location of underground seismic source by using distributed wireless sensor network to obtain the signal of underground explosion vibration source. Due to the large number of sensor nodes and the influence of geography and location environment, the validity of the acquired data becomes an important factor affecting the positioning accuracy. This paper focuses on the data availability and screening methods. Based on the analysis of the information acquisition system of underground motion and the factors affecting the reliability of the data, this paper presents a method to judge the validity of the data by the consistency analysis of the signal, and to eliminate the invalid data. On the basis of studying the generation, propagation law and type of the seismic wave produced by the shallow underground explosion, the characteristics of the source signal are analyzed by using Hilbert-Huang, and the spectral characteristics of the source signal are determined. In view of the influence of sensor node consistency, sensor node layout and data transmission in the process of obtaining seismic information, this paper proposes that the first arrival time can be extracted by acquiring the time shift characteristics of the ground source signals of each node. The method of eliminating the influence of time shift: the first arrival time of each node signal is used to correct the time, and then the signal of correction signal is identified. Based on the unique characteristics of the shallow underground explosion source, the spectral correlation analysis and principal component analysis are used to extract the similar components of each node signal, to match and compare, to eliminate the distorted data, and to realize the consistency discrimination of each node signal. The results show that effective seismic data screening can be realized by combining the results of two consistency analysis methods, which lays a foundation for improving the accuracy of focal location. This method can be applied to the reliability analysis of other vibration information.
【学位授予单位】：中北大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.4

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