{"title":"An IoT-Based System for Real-Time Monitoring of Power Consumption on Sales Booth","authors":"M. Fitria, Ramzi Adriman, Muhammad Kurnia Fandi","doi":"10.1109/COSITE52651.2021.9649470","DOIUrl":null,"url":null,"abstract":"To measure the power consumption, every point supplied with electricity is equipped with a Kilo Watt Hour meter (KWh meter). In some cases, a place shares their electricity usage into several groups of electric loads, such as a coffee shop that share their electric resource to some booths. However, the booths cannot see their electricity usage for the month, since the KWh meter only calculates the total electric load used in a place, not a certain group of electric loads. This causes an equal distribution of electricity payments for each booth. Thus, this experiment is conducted to minimize the problem by designing a system that is capable to cluster the power usage in the booths, as well as monitoring the real-time electricity consumption at a certain time. The system is built using several main components, namely the PZEM004T sensor for reading the power usage, the NodeMCU microcontroller to process all the input data, and the RTC module as a time information provider. The power consumptions of each booth are displayed on an LCD and the mobile application through a network. The mobile application is design by using an IoT framework, the so-called Blynk Application. The data yielded from the component at first are stored on the Blynk Server and then forwarded to Blynk App. The evaluation showed that the system can cluster the electricity usage of each booth, monitor the real-time power consumption, as well as calculating the cost according to their use.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COSITE52651.2021.9649470","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
To measure the power consumption, every point supplied with electricity is equipped with a Kilo Watt Hour meter (KWh meter). In some cases, a place shares their electricity usage into several groups of electric loads, such as a coffee shop that share their electric resource to some booths. However, the booths cannot see their electricity usage for the month, since the KWh meter only calculates the total electric load used in a place, not a certain group of electric loads. This causes an equal distribution of electricity payments for each booth. Thus, this experiment is conducted to minimize the problem by designing a system that is capable to cluster the power usage in the booths, as well as monitoring the real-time electricity consumption at a certain time. The system is built using several main components, namely the PZEM004T sensor for reading the power usage, the NodeMCU microcontroller to process all the input data, and the RTC module as a time information provider. The power consumptions of each booth are displayed on an LCD and the mobile application through a network. The mobile application is design by using an IoT framework, the so-called Blynk Application. The data yielded from the component at first are stored on the Blynk Server and then forwarded to Blynk App. The evaluation showed that the system can cluster the electricity usage of each booth, monitor the real-time power consumption, as well as calculating the cost according to their use.