DEVELOPMENT OF IOT BASED SMART COUNTRY HOME USING ARDUINO UNO AND ESP32 WITH DBMS INTERFACE MONITORING

Abstract

The project titled Development of IoT-Based Smart Country Home Using Arduino Uno and ESP32 with DBMS Interface Monitoring was conceptualized in response to increasing concerns about indoor air pollution and the need for smart, sustainable technologies in rural environments. This study utilizes the Internet of Things (IoT) to implement real-time air quality monitoring and home automation. The primary goal is to track and manage environmental parameters particularly air quality through sensors such as MQ2, MQ5, and MQ135 (for gas detection), PMS7003 (for particulate matter), and SHT30 (for temperature and humidity). These components are integrated with Arduino Uno and ESP32 microcontrollers, with the ESP32’s built-in Wi-Fi and Bluetooth features enabling remote access and data transmission via any internet-connected device. This study employed the Experimental Prototyping Method to assess the feasibility of the proposed system. The method facilitated continuous refinement of both hardware and software components, ensuring system integration and operational reliability prior to full deployment. A 3D model of the smart home was created using Blender to visually represent the layout of key components such as sensors, solar panels, and microcontrollers. A corresponding schematic diagram illustrated how each sensor interacted with the microcontrollers and external modules. Individual sensors were tested for accuracy and real-time responsiveness. Hardware testing verified component functionality, while software testing focused on data communication reliability between the ESP32 and Firebase. The IoT-based smart country home system effectively demonstrates how low-cost microcontrollers and sensors can be utilized for air quality monitoring and automation in rural households. Integration of multiple air quality sensors with ESP32 and Arduino Uno enabled accurate and real-time environmental monitoring. The use of Firebase and MIT App Inventor improved accessibility, and the inclusion of an Automatic Transfer Switch (ATS) ensured an uninterrupted power supply. Real-time data readings supported immediate user intervention when gas levels exceeded safety thresholds. Additionally, the integration of the SIM900 module allowed SMS notifications for alerts, increasing the system’s utility in areas with limited internet connectivity.