【摘要】 地震异常次声波的监测是地震监测中的重要手段和途径。但是,该次声波在接收过程中受到了众多噪声的干扰。为了找到一种地震异常次声波识别监测的有效方法,根据已经收集到的次声波数据进行了分析与研究,按照去噪、特征抽取、信号筛选、分类决策的过程鉴别异常的次声波。在实验中此方法和思路不仅仅得到了较好的识别效果,而且在监测过程中也可识别出矿山爆炸信号和巴东地震次声波信号。从而说明该方法是地震次声波自动识别与监测的一条有效途径。由此,不仅可以较大地减轻地震监测的工作量,实现异常次声波的自动监测,还可以应用到其他的地质灾害的监测和地震的震前监测程序之中。更多还原

【Abstract】 Monitoring the earthquake abnormal infrasound is the important means for seismic monitoring,but the infrasound is often disturbed by many noises in the receiving process.In order to find an effective method for abnormal sound recognition in seismic monitoring,the collected infrasound wave data was analyzed.With the process of de-noising,feature extraction,signal filtering,classification and determinasion,the abnormal infrasound was detected.Application of this idea and method can get a better recognition effect in the experiment.As an example,this method was applied to identify the mine explosion signal and Badong earthquake infrasound signal.It shows that this method is effective for automatic recognition and monitoring of earthquake infrasound.This method can realize automatic monitoring of abnormal infrasound effectively and economically,and can be applied to the monitoring programming for earthquake monitoring and some other geological disasters monitoring.更多还原