Smart portable system for monitoring vibration based on the Raspberry Pi microcomputer and the MEMS accelerometer

H. Baghdadi, K. Rhofir, M. Lamhamdi
{"title":"Smart portable system for monitoring vibration based on the Raspberry Pi microcomputer and the MEMS accelerometer","authors":"H. Baghdadi, K. Rhofir, M. Lamhamdi","doi":"10.11591/ijict.v12i3.pp261-271","DOIUrl":null,"url":null,"abstract":"In this work, an internet of things (IoT) sensing and monitoring box has been developed. The proposed low-cost system is a portable device for smart buildings to measure vibrations, monitor, and control noise caused by the industrial machines. We will present an instrument and a method to measure the vibration and tilt of a mechanical system (air conditioner). The primary goal is to create a signal acquisition and monitoring system that is both user-friendly and affordable, while also delivering exceptional precision. The key concept is centered around acquiring and processing signals through the Raspberry Pi. We will use for the first time as an application, which does not exist before, a conversion method to control and monitor remotely the noise generated by the machines. Once the noise reaches a high value or the air conditioner is too much tilted, the system sends an alert in the form of an email. We will use the Python language to acquire and process the signal and send the alerts. The proposed approach is straightforward to implement, and the obtained results demonstrate a high level of accuracy that is consistent with the existing literature.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Informatics and Communication Technology (IJ-ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/ijict.v12i3.pp261-271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this work, an internet of things (IoT) sensing and monitoring box has been developed. The proposed low-cost system is a portable device for smart buildings to measure vibrations, monitor, and control noise caused by the industrial machines. We will present an instrument and a method to measure the vibration and tilt of a mechanical system (air conditioner). The primary goal is to create a signal acquisition and monitoring system that is both user-friendly and affordable, while also delivering exceptional precision. The key concept is centered around acquiring and processing signals through the Raspberry Pi. We will use for the first time as an application, which does not exist before, a conversion method to control and monitor remotely the noise generated by the machines. Once the noise reaches a high value or the air conditioner is too much tilted, the system sends an alert in the form of an email. We will use the Python language to acquire and process the signal and send the alerts. The proposed approach is straightforward to implement, and the obtained results demonstrate a high level of accuracy that is consistent with the existing literature.
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
基于树莓派微型计算机和MEMS加速度计的智能便携式振动监测系统
在这项工作中,开发了一种物联网(IoT)传感和监控盒。提出的低成本系统是智能建筑的便携式设备,用于测量振动,监测和控制工业机器引起的噪音。我们将介绍一种测量机械系统(空调)振动和倾斜的仪器和方法。主要目标是创建一个用户友好且价格合理的信号采集和监控系统,同时还提供卓越的精度。关键概念集中在通过树莓派获取和处理信号。我们将首次使用一种以前不存在的转换方法来远程控制和监测机器产生的噪声。当噪音过大或空调倾斜过大时,系统会以邮件的形式发出警告。我们将使用Python语言来获取和处理信号并发送警报。所提出的方法易于实现,所获得的结果显示出与现有文献一致的高水平准确性。
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
Review-based analysis of clustering approaches in a recommendation system Adaptive resource allocation in NOMA-enabled backscatter communications systems Navigating the cyber forensics landscape a review of recent innovations ChatGPT's effect on the job market: how automation affects employment in sectors using ChatGPT for customer service Predicting anomalies in computer networks using autoencoder-based representation learning
×
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