Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework

S. K, L. J., J. M, Balamurugan Easwaran
{"title":"Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework","authors":"S. K, L. J., J. M, Balamurugan Easwaran","doi":"10.53759/7669/jmc202303014","DOIUrl":null,"url":null,"abstract":"Typically, about 51% of the groundwater satisfies the drinking water worldwide and is regarded as the major source for the purpose of irrigation. Moreover, the monitoring and assessment of groundwater over bore wells is essential to identify the effect of seasonal changes, precipitations, and the extraction of water. Hence, there is a need to design a depth sensor probe for bore wells so as to analyze/monitor the quality of underground water thereby estimating any geophysical variations like landslides/earthquakes. Once the depth sensor probe is designed, the data is collected over wireless sensor network (WSN) medium and is stored in cloud for further monitoring and analyzing purposes. WSN is the major promising technologies that offer the real-time monitoring opportunities for geographical areas. The wireless medium in turn senses and gathers data like rainfall, movement, vibration, moisture, hydrological and geological aspects of soil that helps in better understanding of landslide or earthquake disasters. In this paper, the design and development of geophysical sensor probe for the deep bore well so as to monitor and collect the data like geological and hydrological conditions. The data collected is then transmitted by wireless network to analyze the geological changes which can cause natural disaster and water quality assessment.","PeriodicalId":91709,"journal":{"name":"International journal of machine learning and computing","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of machine learning and computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53759/7669/jmc202303014","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

Typically, about 51% of the groundwater satisfies the drinking water worldwide and is regarded as the major source for the purpose of irrigation. Moreover, the monitoring and assessment of groundwater over bore wells is essential to identify the effect of seasonal changes, precipitations, and the extraction of water. Hence, there is a need to design a depth sensor probe for bore wells so as to analyze/monitor the quality of underground water thereby estimating any geophysical variations like landslides/earthquakes. Once the depth sensor probe is designed, the data is collected over wireless sensor network (WSN) medium and is stored in cloud for further monitoring and analyzing purposes. WSN is the major promising technologies that offer the real-time monitoring opportunities for geographical areas. The wireless medium in turn senses and gathers data like rainfall, movement, vibration, moisture, hydrological and geological aspects of soil that helps in better understanding of landslide or earthquake disasters. In this paper, the design and development of geophysical sensor probe for the deep bore well so as to monitor and collect the data like geological and hydrological conditions. The data collected is then transmitted by wireless network to analyze the geological changes which can cause natural disaster and water quality assessment.
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
集成物联网监测框架的井筒多传感器ADEP设计与开发
一般来说,全世界约有51%的地下水可以满足饮用水需求,被认为是灌溉用水的主要来源。此外,对钻孔地下水的监测和评价对于确定季节变化、降水和取水的影响至关重要。因此,有必要为钻孔设计一个深度传感器探头,以便分析/监测地下水的质量,从而估计任何地球物理变化,如滑坡/地震。一旦深度传感器探头设计好,数据就会通过无线传感器网络(WSN)介质收集,并存储在云中,以便进一步监测和分析。无线传感器网络是为地理区域提供实时监测机会的主要有前途的技术。无线媒介反过来感知和收集数据,如降雨、运动、振动、湿度、水文和土壤的地质方面,有助于更好地了解滑坡或地震灾害。本文设计并研制了用于深井的地球物理传感器探头,以监测和采集地质、水文条件等数据。收集到的数据通过无线网络传输,用于地质变化的自然灾害分析和水质评价。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Discussion of Key Aspects and Trends in Self Driving Vehicle Technology An Efficient Voice Authentication System using Enhanced Inceptionv3 Algorithm Hybrid Machine Learning Technique to Detect Active Botnet Attacks for Network Security and Privacy Engineering, Structural Materials and Biomaterials: A Review of Sustainable Engineering Using Advanced Biomaterials Comparative Analysis of Transaction Speed and Throughput in Blockchain and Hashgraph: A Performance Study for Distributed Ledger Technologies
×
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