基于互相关算法的环境振动检测方法研究

为检测环境振动，构建巴特沃斯带通滤波器对环境中采集到的原始数据进行滤波，提出了邻近节点判定法，使用邻近节点构建节点网络来减小算法的时间与空间复杂度，分别计算每组网络节点的平均互相关系数，通过设定互相关阈值和台站数量阈值来判定环境振动。使用1108个检波器的数据对邻近节点判定法进行验证，并讨论算法中两类阈值对判定环境振动结果的影响，理论分析和实验结果表明，该方法可用于多节点的传感器网络，可以快速、准确地检测出环境振动。

Researches on Environment Vibration Detection Method Based on Cross-correlation Algorithm

A method of Close Node Judgment is proposed to detect the environment vibration. The original data from environment are filtered by butterworth band pass filter. Node networks are built using close node to reduce the time and space complexity. The average cross correlation coefficient is calculated in each node network. By setting the threshold of cross-correlation coefficient and station number, vibration in the environment is detected. The method of Close Node Judgment is validated using the data from 1108 geophones. The relationship between threshold and the vibration detected in the environment is obtained, and the proper range of threshold is also obtained. The results show that the method can be used in multi-node network，and a variety of environment vibration can be detected rapidly and accurately.