Abstract:
Technology has emphatically expanded proficiency across various sector. We can now do
more tasks quicker than expected since the gig is presently faster and more exact. Also, it’s
plays a pivotal role in enabling effective energy management. Effectively, a prerequisite for
optimizing energy efficiency is monitoring the energy consumption. In this project, our main
objective is to facilitate the consumer to efficiently use the power source from the power grid
in order to have an electricity bill that corresponds to its consumption. The system use a
microcontroller-based architecture, using the ESP8266 NodeMCU for real-time data
processing and communication. The power consumption is measured using the PZEM-004T
sensor, which accurately tracks voltage, current, power, and energy usage in an AC circuit.
The system is designed to automate the detection of excessive power utilization and to
provide alerts when power consumption exceeds predefined limits (30W). The core of the
system includes three relays that control the activation and deactivation of connected three
electrical loads, based on the real-time power consumption data. The relays automatically
switch off one load when excessive consumption (over 30W) is detected, thus improving
energy efficiency and reducing the risk of overloading the circuit. The system also integrates
a magnetic sensor to detect the state of power supply and manage the switching processes
accordingly. Furthermore, a buzzer is incorporated to signal abnormal conditions, especially
when the power consumption exceed 30W. Here we can see the real-time reading on the LCD
(16×2) attached with our hardware and on the phone precisely on the Blynk application
which represent the IOT tools we used. Furthermore, this application allow us to switch off
and on loads through the phone. By providing real-time feedback on energy usage, the system
helps users optimize power consumption and reduce energy costs. The simulation, conducted
using proteus software, demonstrates the feasibility and effectiveness of the system in
managing loads automatically, ensuring safety, and improving energy efficiency.
