地下淺層爆炸震源分布式測量信號一致性分析
發(fā)布時間:2018-06-01 22:20
本文選題:無線傳感器網絡 + 地下爆炸。 參考:《中北大學》2015年碩士論文
【摘要】:利用分布式無線傳感器網絡獲取的地下爆炸震動源信號是實現地下震源定位的一種有效方法。由于布設傳感器節(jié)點多,受地理及其布設環(huán)境等因素的影響,,所獲取數據的有效性成為影響定位精度的重要因素。本文重點研究了數據的有效性與甄別方法。 本文基于地下震動信息獲取系統(tǒng)和影響數據可靠性因素的分析,提出了通過信號的一致性分析判斷數據的有效性、剔除無效數據的方法。在研究了地下淺層爆炸產生的震動波的產生、傳播規(guī)律及類型的基礎上,利用希爾伯特-黃分析了震源信號的特征,確定了震源信號的頻譜特征。針對在震動信息獲取過程中受傳感器節(jié)點一致性、傳感器節(jié)點布設以及數據傳輸過程中的影響,提出了通過獲取各節(jié)點的地震源信號的時移特征實現初至波到時的提取、消除時移影響的方法:利用各節(jié)點信號初至波到時進行了時間校正,然后對校正信號進行信號甄別;诘叵聹\層爆炸震源唯一的特點,采用了頻譜相關性分析和主成分法分析法,提取各節(jié)點信號的相似成分,進行匹配比較,剔除畸變數據,實現各節(jié)點信號的一致性甄別。 結果表明,結合兩種一致性分析方法的結果,可以實現有效地震動數據的篩選,為提高震源定位精度奠定了基礎。該方法可應用于其他震動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.
【學位授予單位】:中北大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:P631.4
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