{"title":"基于虚拟仪器的微震监测系统设计","authors":"Lu Zeng, Shuren Han, D. Lai","doi":"10.1109/ISCID.2013.185","DOIUrl":null,"url":null,"abstract":"Based on the software of Lab VIEW and the advantage of the virtual instrument, a suite of micro seismic real-time monitoring system is designed. A wavelet denoising method is presented here to process microseism signal, and the microseism record can get high signal to noise ratio. The advantage of the virtual instrument was sufficiently exerted to achieve the real-time monitoring and analyzing of the microseism.","PeriodicalId":297027,"journal":{"name":"2013 Sixth International Symposium on Computational Intelligence and Design","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Microseismic Monitoring System Based on Virtual Instrument\",\"authors\":\"Lu Zeng, Shuren Han, D. Lai\",\"doi\":\"10.1109/ISCID.2013.185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the software of Lab VIEW and the advantage of the virtual instrument, a suite of micro seismic real-time monitoring system is designed. A wavelet denoising method is presented here to process microseism signal, and the microseism record can get high signal to noise ratio. The advantage of the virtual instrument was sufficiently exerted to achieve the real-time monitoring and analyzing of the microseism.\",\"PeriodicalId\":297027,\"journal\":{\"name\":\"2013 Sixth International Symposium on Computational Intelligence and Design\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Sixth International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2013.185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Sixth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2013.185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Microseismic Monitoring System Based on Virtual Instrument
Based on the software of Lab VIEW and the advantage of the virtual instrument, a suite of micro seismic real-time monitoring system is designed. A wavelet denoising method is presented here to process microseism signal, and the microseism record can get high signal to noise ratio. The advantage of the virtual instrument was sufficiently exerted to achieve the real-time monitoring and analyzing of the microseism.
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