Kaushik Ahmed, Mayeen Uddin Emon, Md. Yeasib Bin Hassan, Md. Shamim Hossen, Dewan Mahnaaz Mahmud
{"title":"Industrial Revolution 4.0: Energy Monitoring and Load Control System","authors":"Kaushik Ahmed, Mayeen Uddin Emon, Md. Yeasib Bin Hassan, Md. Shamim Hossen, Dewan Mahnaaz Mahmud","doi":"10.1109/ICICCSP53532.2022.9862381","DOIUrl":null,"url":null,"abstract":"This manuscript aims to propose a fourth industrial revolution-based approach to electricity distribution and management systems. The energy meter measures electrical energy, and it is inspected by a person where consumption bills are prepared depending on the meter reading. Most often, the bills are prepared based on the meter reading i.e., manually by hand which tends to be unreliable, expensive, time-consuming, and error prone. Energy meter monitoring using image processing and a computerized billing system is a feasible process that can eliminate conventional meter reading, saves time and money, increase accuracy, prevent electricity theft, and prevent peak hour costs. This manuscript focuses on remote monitoring and controlling of individual loads, energy meter monitoring, forecast analysis depending on industrial electricity consumption, and a digital billing system. Load forecast will help the user further to take managerial decisions. Furthermore, this prototype exhorts the user to turn off the highest energy-consuming load during peak hours and help to reduce peak hour demand as well as the energy cost of the user. Concisely, this system is designed to provide a better, safer, and simpler distribution system to the users and electricity suppliers.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862381","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
This manuscript aims to propose a fourth industrial revolution-based approach to electricity distribution and management systems. The energy meter measures electrical energy, and it is inspected by a person where consumption bills are prepared depending on the meter reading. Most often, the bills are prepared based on the meter reading i.e., manually by hand which tends to be unreliable, expensive, time-consuming, and error prone. Energy meter monitoring using image processing and a computerized billing system is a feasible process that can eliminate conventional meter reading, saves time and money, increase accuracy, prevent electricity theft, and prevent peak hour costs. This manuscript focuses on remote monitoring and controlling of individual loads, energy meter monitoring, forecast analysis depending on industrial electricity consumption, and a digital billing system. Load forecast will help the user further to take managerial decisions. Furthermore, this prototype exhorts the user to turn off the highest energy-consuming load during peak hours and help to reduce peak hour demand as well as the energy cost of the user. Concisely, this system is designed to provide a better, safer, and simpler distribution system to the users and electricity suppliers.