A NOVEL TECHNIQUE FOR AUTOMATIC DETECTION OF EARTHQUAKE AND LANDSLIDE USING IOT

Ewit
{"title":"A NOVEL TECHNIQUE FOR AUTOMATIC DETECTION OF EARTHQUAKE AND LANDSLIDE USING IOT","authors":"Ewit","doi":"10.30534/ijccn/2018/28722018","DOIUrl":null,"url":null,"abstract":"In recent years, the frequent occurrence of landslide and earthquake disasters, caused great harm to people’s lives and properties. Here’s a GSM-based seismic alert system that could warn before an earthquake or landslide strikes. An instrumentation system is presented here for the detection of the variations of these precursors which change well before the event using IOT. It consists of a sensor coupled to an embedded system to enable precise detection of variation in physical parameters . This helps us to interface it with the microcontroller through the related software and send an alarm in the audio and visual form when the parameters exceed beyond certain critical threshold . The instrumentation includes the vibration sensor and accelerometer are the predominant sensors for detecting the relative parameters from the simulations of the earthquake and landslide. The resulting damage can be minimized and lives can be saved if people living in the earthquake-prone area are already prepared to survive the strike. This system provides the monitoring center with warning information in time, so related departments can take effective measures rapidly to protect people’s lives and properties.","PeriodicalId":313852,"journal":{"name":"International Journal of Computing, Communications and Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/ijccn/2018/28722018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In recent years, the frequent occurrence of landslide and earthquake disasters, caused great harm to people’s lives and properties. Here’s a GSM-based seismic alert system that could warn before an earthquake or landslide strikes. An instrumentation system is presented here for the detection of the variations of these precursors which change well before the event using IOT. It consists of a sensor coupled to an embedded system to enable precise detection of variation in physical parameters . This helps us to interface it with the microcontroller through the related software and send an alarm in the audio and visual form when the parameters exceed beyond certain critical threshold . The instrumentation includes the vibration sensor and accelerometer are the predominant sensors for detecting the relative parameters from the simulations of the earthquake and landslide. The resulting damage can be minimized and lives can be saved if people living in the earthquake-prone area are already prepared to survive the strike. This system provides the monitoring center with warning information in time, so related departments can take effective measures rapidly to protect people’s lives and properties.
基于物联网的地震滑坡自动检测新技术
近年来,滑坡和地震灾害频发,给人民生命财产造成了极大的危害。这是一个基于gsm的地震警报系统,它可以在地震或滑坡袭击之前发出警报。本文介绍了一种仪器系统,用于检测这些前体的变化,这些前体在使用物联网之前就已经发生了变化。它由一个与嵌入式系统耦合的传感器组成,可以精确检测物理参数的变化。这有助于我们通过相关软件将其与单片机接口,并在参数超过一定的临界阈值时以音频和视觉形式发出警报。仪器包括振动传感器和加速度传感器,它们是检测地震和滑坡模拟相关参数的主要传感器。如果生活在地震易发地区的人们已经做好了应对地震的准备,那么由此造成的损失就可以降到最低,生命也可以得到挽救。该系统为监控中心及时提供预警信息,以便相关部门迅速采取有效措施,保护人民生命财产安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信