Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{193895,
author = {KUCHANA KARTHIK and PONNAGANI SOUMYA and NALLAGATLA ROHITH and MYNENI HARSHA VARDHAN and Mrs. PIRANGI KALPANA},
title = {Wireless Fire Fighting Robot With Weather Monitoring Using Android Application},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {2373-2378},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=193895},
abstract = {Wireless Fire Fighting Robot integrated with a real-time Weather Monitoring System, managed via a custom Android Application. The primary objective of this project is to enhance the safety of first responders by deploying a robotic unit into hazardous, fire-prone environments where human entry is restricted. The system architecture utilizes an raspberry pi as the central processing hub, interfaced with Flame Sensors for fire detection and a high-pressure Water Pump mechanism for suppression.
To provide comprehensive situational awareness, the robot is equipped with a suite of environmental sensors, including DHT11/22 for temperature and humidity, and an MQ-series sensor for smoke and gas detection. Data from these sensors is transmitted wirelessly via Bluetooth or Wi-Fi (NodeMCU) to a smartphone application, allowing operators to monitor ambient weather conditions and fire intensity in real-time. The mobility of the robot is governed by high-torque DC gear motors driven by an L298N motor driver, enabling precise navigation through the Android interface.
Experimental results demonstrate that the robot can effectively detect fire within a specific range, activate the extinguishing system, and relay critical environmental telemetry with minimal latency. This integrated approach not only assists in active firefighting but also provides predictive data regarding fire spread based on local atmospheric conditions. The proposed system offers a cost-effective, scalable solution for industrial safety and urban fire management, significantly reducing the risk of human casualties in emergency scenarios.},
keywords = {Raspberry pi pico W, flame sensors, DHT-11 sensor, wi-fi, L298N motor driver, buzzer, ultra sonic sensor, MQ2 sensor},
month = {March},
}
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