基于空间相关的地震前兆数据库的信息提取与数据更新方法

针对当前提取地震前兆数据易受到噪声干扰,且数据库中数据更新速度较慢的问题,提出基于空间相关的地震前兆数据库信息提取与数据更新方法。利用快速Myriad滤波器,引入滑动窗,选择窗口数据参与到计算中,将计算结果当作目前窗口滤波输出值,实现数据滤波,由此实现信息提取的去噪处理。依据初步滤波结果,将当前数据作为中心,并确定空间窗,在横向上进行相关数据统计。针对空间窗中各数据选取滑动时窗,并对其中的数据进行S变换,利用指数拟合的数据传输能力参数,获取缺失数据的填充修复参数。引入曲面加权函数对填充修复参数进行平滑,根据平滑之后的填充修复参数对S变换数据进行更新,实现空间相关下地震前兆数据库的数据更新。实验结果表明,所提方法的数据信噪比较高,数据更新时间较短。

Information Extraction and Data Updating Method for an EarthquakePrecursor Database Based on Spatial Correlation

Seismic precursor data are easily interfered by noise and the data updating speed in a database is slow. To solve this problem, an information extraction and data updating method of a seismic precursor database based on spatial correlation is proposed in this paper. Using a fast Myriad filter, a sliding window is introduced, and window data are selected to participate in the calculation. The calculated results are regarded as the output value of the current window filter, and the data filtering and denoizing of information extraction is realized. In accordance with the preliminary filtering results, the current data are taken as the center, a spatial window is determined, and then related data statistics are horizontally conducted. A sliding time window is selected for each data in the spatial window, and filling repair parameters of the missing data are obtained. A surface weighting function is introduced to smooth the filling repair parameters, and S-transform data are updated according to the smoothed filling repair parameters. Then, the data updating of the earthquake precursor database is realized based on spatial correlation. The experimental results show that the signal-to-noise ratio of the proposed method is high, and the data update time is short. Thus, the method can preliminarily realize the information extraction and data updating of the earthquake precursor database.