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RA2621 DKR ESP32Node-REDPZEM-004T Energy & Electrical

Air Conditioner Power Usage Monitoring and Analysis System Using ESP32, PZEM-004T and Node-RED

Poster: Air Conditioner Power Usage Monitoring and Analysis System Using ESP32, PZEM-004T and Node-RED
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Poster: Air Conditioner Power Usage Monitoring and Analysis System Using ESP32, PZEM-004T and Node-RED

Specifications

Code
RA2621
Department
DKR
Technology
ESP32 · Node-RED · PZEM-004T
Theme
Energy & Electrical
Student
Nik Nazhan Sidqi bin Mohamad Nasir
Supervisor
Ruslinda binti Ruslee

Objectives

To develop an IoT-based air conditioner power monitoring system using ESP32 and PZEM-004T to measure electrical parameters in real time. 2. To implement MQTT communication using HiveMQ Cloud to transmit monitoring data to an Android application for real-time visualization. 3. To integrate Node-RED and MySQL for data processing, storage, and analysis of air conditioner electricity consumption and cost.

Scope of project

The system monitors the air conditioner’s electrical parameters, including voltage, current, power, and energy consumption, using ESP32 and PZEM-004T. MQTT communication via HiveMQ Cloud is used to transmit real-time monitoring data to an Android application. 3. Node-RED and MySQL are used to process, store, and analyze electricity consumption data and estimate electricity costs. 4. The system provides real-time monitoring and historical data viewing to help users understand and manage air conditioner electricity usage.

Project description

The Air Conditioner Power Usage Monitoring and Analysis System is an IoT-based project designed to monitor and analyze the electrical consumption of an air conditioner in real time. The system uses an ESP32 microcontroller and a PZEM-004T sensor to measure voltage, current, power, and energy consumption. The collected data is transmitted through HiveMQ Cloud using MQTT communication and displayed on an Android application for real-time monitoring. Node-RED and MySQL are integrated to process and store the collected data, allowing users to review electricity consumption and estimate costs. This system helps users understand their air conditioner’s energy usage and manage electricity expenses more effectively.