Energy Monitoring System Design and Analysis with the Internet of Things on the Blynk Platform

Energy Monitoring System Design and Analysis with the Internet of Things on the Blynk Platform
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-3
Year of Publication : 2023
Author : Yuslinda Wati Mohamad Yusof, Abdul Hafez Mohamed, Murizah Kassim
DOI : 10.14445/22315381/IJETT-V71I3P236

How to Cite?

Yuslinda Wati Mohamad Yusof, Abdul Hafez Mohamed, Murizah Kassim, "Energy Monitoring System Design and Analysis with the Internet of Things on the Blynk Platform," International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 345-353, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P236

Abstract
The Internet of Things technology system has been designed in many concepts to be accessed within a long-range using Wireless Fidelity communication, including energy monitoring. The concept of energy monitoring is today due to a lot of spending time using electrical appliances such as laptops, chargers, and personal computers, especially young users like students. Most students spend most of their time playing games, listening to music, and watching movies on their laptops. Due to this, energy monitoring and analysis are important as a guide to students on their spent energy. This research helps them to reduce their monthly electricity bills and reduce their energy usage. The objective of this research is to design an energy monitoring system using Arduino as a microcontroller. The system uses Wi-Fi communication which interacts with this system. The hardware comprises energy sensors for recording and analysing energy usage in daily life. This research aims at an implemented system that automates and records the daily energy of appliance usage. Daily data collection for 2 weeks data was collected, and 421 samples were recorded based on 6 hours of data collected during the day and night. The results show that nighttime energy usage is 68% higher than daytime. A real-time energy recording on a Blynk platform has been designed and accessed on mobile. A positive correlation increase for Current (A) appears highly determined by Voltages (V) with a reading of 0.0247, and Current (A) and Power (W) appears highly correlated to each other with a reading of 0.9791. This research is significant for accessing the real-time energy for electricity based on daily usage via Android apps. It benefits the consumers by monitoring energy usage and knowing how to save energy efficiently. This research is also significant for building facilities for monitoring energy usage based on the user’s capacity.

Keywords
Energy monitoring, System design, Internet of things, Blynk, Energy capacity.

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