用于早期地震探测的符合IEEE21451-001标准的智能传感器

Marco Carratù;Salvatore Dello Iacono;Vincenzo Paciello;Antonio Espírito-Santo;Gustavo Monte
{"title":"用于早期地震探测的符合IEEE21451-001标准的智能传感器","authors":"Marco Carratù;Salvatore Dello Iacono;Vincenzo Paciello;Antonio Espírito-Santo;Gustavo Monte","doi":"10.1109/OJIM.2023.3311049","DOIUrl":null,"url":null,"abstract":"This article introduces a novel smart sensor that employs an advanced algorithm for earthquake early warning (EEW). The sensor utilizes a smart sampling technique to extract significant signal information, simplifying the process of inferring knowledge. The main objective is to assess the potential destructiveness of an incoming earthquake by analyzing the initial moments of the pressure wave and to generate an alert for prompt action, if necessary. This study includes the development and presentation of the proposed method, as well as performance evaluations using real seismic data obtained from freely accessible databases. These evaluations confirm the effectiveness of the proposed method in accurately estimating earthquake magnitudes. Furthermore, this article includes a comparison with a widely used EEW algorithm. The real-time functionality and interoperability of devices are crucial considerations in earthquake detection applications. The suitability and compatibility of the proposed method with the IEEE1451 family of standards are demonstrated and emphasized in this article.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10237301.pdf","citationCount":"0","resultStr":"{\"title\":\"An IEEE21451-001 Compliant Smart Sensor for Early Earthquake Detection\",\"authors\":\"Marco Carratù;Salvatore Dello Iacono;Vincenzo Paciello;Antonio Espírito-Santo;Gustavo Monte\",\"doi\":\"10.1109/OJIM.2023.3311049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article introduces a novel smart sensor that employs an advanced algorithm for earthquake early warning (EEW). The sensor utilizes a smart sampling technique to extract significant signal information, simplifying the process of inferring knowledge. The main objective is to assess the potential destructiveness of an incoming earthquake by analyzing the initial moments of the pressure wave and to generate an alert for prompt action, if necessary. This study includes the development and presentation of the proposed method, as well as performance evaluations using real seismic data obtained from freely accessible databases. These evaluations confirm the effectiveness of the proposed method in accurately estimating earthquake magnitudes. Furthermore, this article includes a comparison with a widely used EEW algorithm. The real-time functionality and interoperability of devices are crucial considerations in earthquake detection applications. The suitability and compatibility of the proposed method with the IEEE1451 family of standards are demonstrated and emphasized in this article.\",\"PeriodicalId\":100630,\"journal\":{\"name\":\"IEEE Open Journal of Instrumentation and Measurement\",\"volume\":\"2 \",\"pages\":\"1-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/iel7/9552935/10025401/10237301.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of Instrumentation and Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10237301/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Instrumentation and Measurement","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10237301/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一种新型的智能传感器,该传感器采用了先进的地震预警算法。该传感器利用智能采样技术提取重要信号信息,简化了推断知识的过程。主要目的是通过分析压力波的初始力矩来评估即将到来的地震的潜在破坏性,并在必要时发出警报以迅速采取行动。本研究包括所提出方法的开发和介绍,以及使用从可自由访问的数据库中获得的真实地震数据进行性能评估。这些评估证实了所提出的方法在准确估计地震震级方面的有效性。此外,本文还与一种广泛使用的EEW算法进行了比较。设备的实时功能和互操作性是地震探测应用中的关键考虑因素。本文证明并强调了所提出的方法与IEEE1451系列标准的适用性和兼容性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An IEEE21451-001 Compliant Smart Sensor for Early Earthquake Detection
This article introduces a novel smart sensor that employs an advanced algorithm for earthquake early warning (EEW). The sensor utilizes a smart sampling technique to extract significant signal information, simplifying the process of inferring knowledge. The main objective is to assess the potential destructiveness of an incoming earthquake by analyzing the initial moments of the pressure wave and to generate an alert for prompt action, if necessary. This study includes the development and presentation of the proposed method, as well as performance evaluations using real seismic data obtained from freely accessible databases. These evaluations confirm the effectiveness of the proposed method in accurately estimating earthquake magnitudes. Furthermore, this article includes a comparison with a widely used EEW algorithm. The real-time functionality and interoperability of devices are crucial considerations in earthquake detection applications. The suitability and compatibility of the proposed method with the IEEE1451 family of standards are demonstrated and emphasized in this article.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Spatiotemporal Variance Image Reconstruction for Thermographic Inspections Fault Detection in an Electro-Hydrostatic Actuator Using Polyscale Complexity Measures and Bayesian Classification Baseline-Free Damage Imaging for Structural Health Monitoring of Composite Lap Joint Using Ultrasonic-Guided Waves Spiking Neural Networks for Energy-Efficient Acoustic Emission-Based Monitoring IMU Optimal Rotation Rates
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1