云端物联网架构用于地震预警中的延迟意识定位
Paola Pierleoni1, Roberto Concetti2, Alberto Belli1
1Department of Information Engineering (DII), Università Politecnica delle Marche, 60131 Ancona, Italy.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了一种创新的物联网 (IoT) 架构,用于地震预警系统 (EEW). 新设计通过在物联网设备上处理数据来实现更快的地震检测和本地化,提高了地震警报速度.
科学领域:
- 地质物理学和地震学
- 计算机科学与工程 计算机科学与工程
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 有效的地震预警系统依赖于快速准确地检测地震源.
- 现有的中心本地化解决方案在物联网 (IoT) 框架和云平台中的集成有限.
- 传统的区域EEW方法往往缺乏分散的数据处理能力.
研究的目的:
- 提出和验证一个完整的物联网架构用于地震检测,定位和通知.
- 在物联网设备上直接实现P波采集,以更快地进行地震数据分析.
- 将物联网设备与云平台集成,以增强数据管理和服务集成.
主要方法:
- 设计和部署了一种用于地震事件检测和定位的新型物联网架构.
- 在边缘物联网设备上实施P波采集,偏离传统的EEW方法.
- 利用基于云的服务来进行选择关联,源本地化 (超级波拉方法与到达多边化的时间差异),事件声明和用户通知.
主要成果:
- 拟议的端到端物联网架构为EEW提供了可接受的准确性,快速估计地震中心位置.
- 与意大利的区域EEW标准进行严格的测试表明,本地化速度有3.39秒的显著改善.
- 该系统成功地将物联网设备与云平台集成,简化数据存储和设备管理.
结论:
- 开发的物联网架构为地震预警系统提供了可行和高效的解决方案.
- 物联网设备上的分散的P波采集提高了地震警报的速度和可靠性.
- 拟议的系统代表了在利用物联网和云技术进行灾难准备方面取得的重大进展.
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