{"title":"Self-Adaptive Seismic Signal Collection Recording System Based on ARM","authors":"Meijuan Gao, Jin Xu, Jingwen Tian","doi":"10.1109/SEC.2008.27","DOIUrl":null,"url":null,"abstract":"Aim at the traditional natural seismic signal collection system has disadvantage of narrow wave band and data collection quantity is too large, a self-adaptive seismic signal collection recording system based on ARM (advanced RISC machines) is presented in this paper. The MEMS acceleration sensor chip with the characteristic of good low-frequency response and high sensitivity is used to detect seismic signal, and amplifying and filtering circuit are designed for signal conditioning to increase the signal noise ratio (SNR). Then the whole detection circuit will be assembled reasonably and debugged, and the three component seismograph is designed. A threshold signal will be set in the software to confirm the start and end time for recording system, in order to achieve the data collection efficiency and high reliability.","PeriodicalId":231129,"journal":{"name":"2008 Fifth IEEE International Symposium on Embedded Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fifth IEEE International Symposium on Embedded Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC.2008.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Aim at the traditional natural seismic signal collection system has disadvantage of narrow wave band and data collection quantity is too large, a self-adaptive seismic signal collection recording system based on ARM (advanced RISC machines) is presented in this paper. The MEMS acceleration sensor chip with the characteristic of good low-frequency response and high sensitivity is used to detect seismic signal, and amplifying and filtering circuit are designed for signal conditioning to increase the signal noise ratio (SNR). Then the whole detection circuit will be assembled reasonably and debugged, and the three component seismograph is designed. A threshold signal will be set in the software to confirm the start and end time for recording system, in order to achieve the data collection efficiency and high reliability.
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