基于Matlab的GUI开发环境，采用三仪器法设计地震计自噪声可视化软件，通过对3台地震计同背景同时段原始波形数据进行去均值、去趋势值等一序列数据处理，并运用Welch平均周期法计算噪声功率谱密度，最终绘制完成自噪声功率谱密度曲线。选取山东省临沂市马陵山比测基地作为软件测试地点，以2组各3套地震计（STS2.5、BBVS-120地震计）观测系统作为测试样本，进行地震计自噪声分析，结果发现，STS2.5和BBVS-120型地震计UD向自噪声功率谱曲线在0.04—2 Hz频带内均低于NLNM，表明地震计噪声性能良好，从而验证了软件的可行性与准确性。
Based on the GUI development environment of Matlab, a three-instrument method is used to design the self-noise visualization software of the seismometer. This software performs a series of data processing procedures, including de-averaging and de-trending, to original waveform data for three seismometers with the same background and in the same time range, and uses the Welch average period method to calculate the noise power spectral density, and finally visuals the self-noise power spectral density curves. Select the Maling Mountain Comparison Test Base in Linyi City, Shandong Province as the software test site, and use 2 groups of 3 sets of seismometers (STS2.5, BBVS-120 seismometers) observation systems as test samples to calculate their self-noise spectral density. The results show that the self-noise spectral density of the UD component of the STS2.5 and BBVS-120 seismometers is lower than the NLNM curve in the frequency band of 0.04-2 Hz, thus verifying the reliability and accuracy of the software.
2020,41(3): 232-238 收稿日期：2019-10-25
DOI：10.3969/j.issn.1003-3246.2020.03.030
作者简介：吴双(1991-),女,助理工程师,主要从事地震仪器运行维护工作。E-mail:1552835896@qq.com
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