Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data

In everyday life, electricity is necessary, and proper use is critical. To strengthen home electricity control, the existing systems have been examined over the years. However, the existing PMAS method’s error ratio is higher and does not allow for a remote monitoring system. Therefore, this study p...

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Autores principales:	Mohammad Kamrul Hasan, Musse Mohamud Ahmed, Bishwajeet Pandey, Hardik Gohel, Shayla Islam, Izzul Fitrie Khalid
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/e7a214b4c81441bfbf1c815c04871ae8
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id	oai:doaj.org-article:e7a214b4c81441bfbf1c815c04871ae8
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spelling	oai:doaj.org-article:e7a214b4c81441bfbf1c815c04871ae82021-11-08T02:36:41ZInternet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data1530-867710.1155/2021/6544649https://doaj.org/article/e7a214b4c81441bfbf1c815c04871ae82021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6544649https://doaj.org/toc/1530-8677In everyday life, electricity is necessary, and proper use is critical. To strengthen home electricity control, the existing systems have been examined over the years. However, the existing PMAS method’s error ratio is higher and does not allow for a remote monitoring system. Therefore, this study proposes a smart monitoring and control system (SMACS) for household appliances. The application’s significance is to monitor household appliances’ electricity usage using hardware and the Internet of Things (IoT) methods. The prototype of the proposed system is designed and developed considering Arduino UNO, a liquid crystal display (LCD), an ACS712 current sensor module, relays, and AC sources. The components are selected from the software library, and the simulation results are found the same as the prototype. WiFi module ESP8266 is not included in the design because it is not provided in the system. The data is recorded in cloud storage using Thing-speak. A mobile application (Virtuino) also accesses the data to visualize it through the graphical and numerical display. This study provides users with an easy system to monitor and control household appliances’ power consumption using mobile applications. Results show that the proposed system provides 0.6% current errors for the hairdryer appliance, whereas the existing Power Monitoring and Switching (PMAS) system provides 7.8% current errors.Mohammad Kamrul HasanMusse Mohamud AhmedBishwajeet PandeyHardik GohelShayla IslamIzzul Fitrie KhalidHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Mohammad Kamrul Hasan Musse Mohamud Ahmed Bishwajeet Pandey Hardik Gohel Shayla Islam Izzul Fitrie Khalid Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data
description	In everyday life, electricity is necessary, and proper use is critical. To strengthen home electricity control, the existing systems have been examined over the years. However, the existing PMAS method’s error ratio is higher and does not allow for a remote monitoring system. Therefore, this study proposes a smart monitoring and control system (SMACS) for household appliances. The application’s significance is to monitor household appliances’ electricity usage using hardware and the Internet of Things (IoT) methods. The prototype of the proposed system is designed and developed considering Arduino UNO, a liquid crystal display (LCD), an ACS712 current sensor module, relays, and AC sources. The components are selected from the software library, and the simulation results are found the same as the prototype. WiFi module ESP8266 is not included in the design because it is not provided in the system. The data is recorded in cloud storage using Thing-speak. A mobile application (Virtuino) also accesses the data to visualize it through the graphical and numerical display. This study provides users with an easy system to monitor and control household appliances’ power consumption using mobile applications. Results show that the proposed system provides 0.6% current errors for the hairdryer appliance, whereas the existing Power Monitoring and Switching (PMAS) system provides 7.8% current errors.
format	article
author	Mohammad Kamrul Hasan Musse Mohamud Ahmed Bishwajeet Pandey Hardik Gohel Shayla Islam Izzul Fitrie Khalid
author_facet	Mohammad Kamrul Hasan Musse Mohamud Ahmed Bishwajeet Pandey Hardik Gohel Shayla Islam Izzul Fitrie Khalid
author_sort	Mohammad Kamrul Hasan
title	Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data
title_short	Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data
title_full	Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data
title_fullStr	Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data
title_full_unstemmed	Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data
title_sort	internet of things-based smart electricity monitoring and control system using usage data
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/e7a214b4c81441bfbf1c815c04871ae8
work_keys_str_mv	AT mohammadkamrulhasan internetofthingsbasedsmartelectricitymonitoringandcontrolsystemusingusagedata AT mussemohamudahmed internetofthingsbasedsmartelectricitymonitoringandcontrolsystemusingusagedata AT bishwajeetpandey internetofthingsbasedsmartelectricitymonitoringandcontrolsystemusingusagedata AT hardikgohel internetofthingsbasedsmartelectricitymonitoringandcontrolsystemusingusagedata AT shaylaislam internetofthingsbasedsmartelectricitymonitoringandcontrolsystemusingusagedata AT izzulfitriekhalid internetofthingsbasedsmartelectricitymonitoringandcontrolsystemusingusagedata
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Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data

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