基于云存储的电能表远程监控

A. Siva, K. Jayashree, S. Pavithra, R. Preethi, A. Swetha, U. Ramani
{"title":"基于云存储的电能表远程监控","authors":"A. Siva, K. Jayashree, S. Pavithra, R. Preethi, A. Swetha, U. Ramani","doi":"10.1109/ICESC57686.2023.10193207","DOIUrl":null,"url":null,"abstract":"Remote Monitoring of Energy Meter using Cloud storage is a project on enabling the measured energy which is consumed to be accessed by Android app in Mobile or in webpage through Data Excel Sheet. This is achieved by using Server Mediator (ESP8266), which stores the data in cloud storage. This study used Google cloud storage. Further, the current sensor and voltage transformer are used to calculate load current and supply voltage. These two parameters are given as input to Arduino to calculate the power consumed and also it will calculate the amount to be paid. These calculations are done by source code in C language that is programmed in Arduino. These calculated data will be send to LCD (Liquid Crystal Display) to get displayed and also stored in cloud. This avoids the direct reading of energy meters and also the consumer can know current energy consumed wherever they are in the world. And also they can Turn On/Off by Android app itself when unwanted power flow happens when no one is there at Home. Through this the consumer can save energy which leads to energy management.","PeriodicalId":235381,"journal":{"name":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Remote Monitoring of Energy Meter using Cloud Storage\",\"authors\":\"A. Siva, K. Jayashree, S. Pavithra, R. Preethi, A. Swetha, U. Ramani\",\"doi\":\"10.1109/ICESC57686.2023.10193207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Remote Monitoring of Energy Meter using Cloud storage is a project on enabling the measured energy which is consumed to be accessed by Android app in Mobile or in webpage through Data Excel Sheet. This is achieved by using Server Mediator (ESP8266), which stores the data in cloud storage. This study used Google cloud storage. Further, the current sensor and voltage transformer are used to calculate load current and supply voltage. These two parameters are given as input to Arduino to calculate the power consumed and also it will calculate the amount to be paid. These calculations are done by source code in C language that is programmed in Arduino. These calculated data will be send to LCD (Liquid Crystal Display) to get displayed and also stored in cloud. This avoids the direct reading of energy meters and also the consumer can know current energy consumed wherever they are in the world. And also they can Turn On/Off by Android app itself when unwanted power flow happens when no one is there at Home. Through this the consumer can save energy which leads to energy management.\",\"PeriodicalId\":235381,\"journal\":{\"name\":\"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESC57686.2023.10193207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESC57686.2023.10193207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基于云存储的电能表远程监控是一个将所测量的消耗的能量通过手机上的安卓应用程序或通过数据Excel表格在网页上访问的项目。这是通过使用服务器中介(ESP8266)实现的,它将数据存储在云存储中。本研究使用谷歌云存储。然后,利用电流传感器和电压互感器计算负载电流和电源电压。这两个参数作为输入给Arduino来计算消耗的电量,同时也会计算出需要支付的金额。这些计算是通过Arduino编程的C语言源代码完成的。这些计算的数据将被发送到LCD(液晶显示器)显示,并存储在云端。这避免了直接读取电能表,消费者也可以知道当前的能源消耗,无论他们在世界各地。当家里没有人的时候,当不需要的电流发生时,他们也可以通过安卓应用程序自己打开/关闭。通过这种方式,消费者可以节约能源,从而实现能源管理。
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
Remote Monitoring of Energy Meter using Cloud Storage
Remote Monitoring of Energy Meter using Cloud storage is a project on enabling the measured energy which is consumed to be accessed by Android app in Mobile or in webpage through Data Excel Sheet. This is achieved by using Server Mediator (ESP8266), which stores the data in cloud storage. This study used Google cloud storage. Further, the current sensor and voltage transformer are used to calculate load current and supply voltage. These two parameters are given as input to Arduino to calculate the power consumed and also it will calculate the amount to be paid. These calculations are done by source code in C language that is programmed in Arduino. These calculated data will be send to LCD (Liquid Crystal Display) to get displayed and also stored in cloud. This avoids the direct reading of energy meters and also the consumer can know current energy consumed wherever they are in the world. And also they can Turn On/Off by Android app itself when unwanted power flow happens when no one is there at Home. Through this the consumer can save energy which leads to energy management.
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
The Smart Performance Analysis of Reliability based Optimization Service for Secured Cloud Servers using Priority based Scheduling Correlation based Feature Selection and Hybrid Machine Learning Approach for Forecasting Disease Outbreaks Web-based Financial Management System Applied to Educational Institutions Alerting of Acid Rain Using Rain Sensor, pH Sensor and SO2 Sensor on Street Lights Shore Line Change Detection using ANN and Ground Water Variability Along Kerala Coast Using Random Forest Regression
×
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