Nature Guard: IOT Analytics for Early Disaster Detection and Warnings

Nature Guard: IOT Analytics for Early Disaster Detection and Warnings

T Renita Pearlin, Assistant Professor, Department of Electronics and Communication Engineering,

Sri Shakthi Institute of Engineering and Technology, L&T Bypass, Coimbatore, trenitacdc@siet.ac.in

Pravina E, Shandhiya S, Sudheksha M S, Vasika S Department of Electronics and Communication Engineering,

Sri Shakthi Institute of Engineering and Technology, L&T Bypass, Coimbatore

Abstract

This project involves designing a system for sensor data acquisition and transmission using the ESP32 microcontroller as the central controller. The system integrates various sensors, including GPS, ultrasonic, vibration, flow, float, and accelerometer, to monitor environmental parameters like air flow, liquid levels, vibration, and motion. The ESP32 processes data from these sensors, filters noise, and displays real-time readings on a local display unit. Simultaneously, the data is transmitted to a cloud platform through Wi-Fi for storage, analysis, and remote monitoring. IOT functionalities are enabled using the Blynk platform, allowing users to visualize real-time data, set alerts, and remotely control system operations through a dedicated app. The system provides seamless remote access to environmental data via smartphones and web interfaces, making it suitable for industrial monitoring, environmental sensing, smart homes, and transportation. Its scalability, cost- effectiveness, and ability to provide both local and remote insights ensure versatility and efficiency in various applications.

Keywords: ESP32, sensor data acquisition, data analysis, remote monitoring, IoT functionalities, real-time visualization, Blynk platform.