基于自动抄表的漏水检测

Fuead Ali, Mohamad Firdaus Hafifi Saidi
{"title":"基于自动抄表的漏水检测","authors":"Fuead Ali, Mohamad Firdaus Hafifi Saidi","doi":"10.1109/IMCOM51814.2021.9377437","DOIUrl":null,"url":null,"abstract":"This work aims to extract the individual water meter flow consumption's reading automatically using the water flow reading and upload the extracted water flow data to the cloud platform using the internet connection for analysis and data visualization for monitoring. The study also aims to notify residential owner of any excessive water usage from the cloud platform's analysis. The method implementation for this work is based on the prototyping model where a device of automatic meter reading that read the water flow using the water flow reading and water meter reading on an actual water meter. The extracted water flow reading then uploaded to cloud platform for analysis via internet connection. This device consists of Raspberry Pi 4 as the brain, Pi camera as the image capturing mechanism and YF-S201 water flow sensor as water flow reader. This work has the ability to allow early detection of water leakage due to constant analysis and therefore is able to detect any water leakage accurately from the analysis and provide an alert to the residential owner. (Abstract)","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Water Leakage Detection based on Automatic Meter Reading\",\"authors\":\"Fuead Ali, Mohamad Firdaus Hafifi Saidi\",\"doi\":\"10.1109/IMCOM51814.2021.9377437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims to extract the individual water meter flow consumption's reading automatically using the water flow reading and upload the extracted water flow data to the cloud platform using the internet connection for analysis and data visualization for monitoring. The study also aims to notify residential owner of any excessive water usage from the cloud platform's analysis. The method implementation for this work is based on the prototyping model where a device of automatic meter reading that read the water flow using the water flow reading and water meter reading on an actual water meter. The extracted water flow reading then uploaded to cloud platform for analysis via internet connection. This device consists of Raspberry Pi 4 as the brain, Pi camera as the image capturing mechanism and YF-S201 water flow sensor as water flow reader. This work has the ability to allow early detection of water leakage due to constant analysis and therefore is able to detect any water leakage accurately from the analysis and provide an alert to the residential owner. (Abstract)\",\"PeriodicalId\":275121,\"journal\":{\"name\":\"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCOM51814.2021.9377437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCOM51814.2021.9377437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本工作旨在利用水流量读数自动提取单个水表的水耗读数,并将提取的水流量数据通过互联网连接上传到云平台进行分析和数据可视化监控。该研究还旨在通过云平台的分析通知住宅业主任何过度用水的情况。本工作的方法实现基于原型模型,其中一个自动抄表装置使用实际水表上的水流量读数和水表读数读取水流量。将提取的水流读数通过网络连接上传到云平台进行分析。该装置由树莓派4作为大脑,派相机作为图像捕获机构,YF-S201水流传感器作为水流读取器组成。由于不断的分析,这项工作有能力允许早期发现漏水,因此能够从分析中准确地发现任何漏水,并向住宅业主提供警报。(抽象)
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
Water Leakage Detection based on Automatic Meter Reading
This work aims to extract the individual water meter flow consumption's reading automatically using the water flow reading and upload the extracted water flow data to the cloud platform using the internet connection for analysis and data visualization for monitoring. The study also aims to notify residential owner of any excessive water usage from the cloud platform's analysis. The method implementation for this work is based on the prototyping model where a device of automatic meter reading that read the water flow using the water flow reading and water meter reading on an actual water meter. The extracted water flow reading then uploaded to cloud platform for analysis via internet connection. This device consists of Raspberry Pi 4 as the brain, Pi camera as the image capturing mechanism and YF-S201 water flow sensor as water flow reader. This work has the ability to allow early detection of water leakage due to constant analysis and therefore is able to detect any water leakage accurately from the analysis and provide an alert to the residential owner. (Abstract)
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
On a Partially Verifiable Multi-party Multi-argument Zero-knowledge Proof EnvBERT: Multi-Label Text Classification for Imbalanced, Noisy Environmental News Data Method for Changing Users' Attitudes Towards Fashion Styling by Showing Evaluations After Coordinate Selection The Analysis of Web Search Snippets Displaying User's Knowledge An Energy Management System with Edge Computing for Industrial Facility
×
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