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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Hindawi
2021
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/36549/1/Musse%20Mohamud%20Ahmed.pdf http://ir.unimas.my/id/eprint/36549/ https://www.hindawi.com/journals/wcmc/2021/6544649/ |
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| Summary: | 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. |
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