Autonomous Fire Detection And Rescue Robot

Tech

ESP32, Arduino IDE, Flame Sensors, DHT11 Temperature Sensor, MQ-2 Gas Sensor, L298N Motor Driver, Servo Motor, DC Water Pump, ESP32-CAM

Abstract

The Autonomous Fire Detection and Rescue Robot is an integrated embedded system designed to mitigate the risks associated with fire emergencies in industrial and residential settings. Utilizing an ESP32 microcontroller, the robot employs a multi-sensor array consisting of infrared flame sensors, temperature sensors, and gas sensors to identify fire outbreaks and hazardous smoke levels. Once a fire is detected, the system autonomously navigates toward the source using a differential drive mechanism. Upon reaching the target, a servo-controlled nozzle activates a water pump to extinguish the fire. Additionally, an onboard camera module provides real-time visual feedback for remote monitoring. This project demonstrates a scalable approach to reducing human exposure to dangerous environments during the initial stages of fire suppression, ensuring faster response times and improved safety protocols.

Keywords

Autonomous Robotics, Fire Suppression, ESP32, Flame Detection, Embedded Systems, IoT Safety, Real-time Monitoring, Gas Sensing, Thermal Detection, Servo Control, Industrial Automation, Emergency Response, Obstacle Avoidance, Remote Surveillance, Mechatronics, Hazardous Environment Navigation

Project Description

Fire emergencies in industrial warehouses and chemical plants often pose extreme risks to human firefighters due to toxic fumes, structural instability, and unpredictable heat. The primary objective of this project is to develop an autonomous robotic platform capable of detecting fire and initiating immediate suppression without human intervention. The problem addressed is the critical delay between fire ignition and the arrival of emergency services, which often leads to catastrophic property loss and casualties. The system is engineered around the ESP32 microcontroller, chosen for its processing power and integrated wireless capabilities. The robot operates by continuously scanning its environment using a triad of sensors: flame sensors for infrared light detection, a DHT11 sensor for abnormal temperature spikes, and an MQ-2 sensor for smoke and combustible gas detection. When these sensors trigger a threshold breach, the robot transitions from a patrolling state to a target-seeking state, navigating toward the heat source. To execute the rescue and suppression phase, the robot utilizes a water pump coupled with a servo-motorized nozzle, allowing the water stream to be directed precisely at the flame. The integration of an ESP32-CAM allows operators to monitor the situation remotely via a web interface, providing situational awareness without entering the danger zone. By automating the detection and initial attack phase of fire fighting, this project provides a high-value societal contribution by protecting human lives and minimizing industrial downtime through rapid, automated intervention.

Project Features

• Autonomous fire source localization using IR flame sensors
• Real-time temperature and smoke level monitoring
• Automatic water pump activation for fire suppression
• Servo-controlled nozzle for directional water spraying
• Wireless video streaming via ESP32-CAM module
• Obstacle avoidance for seamless indoor navigation
• High-torque DC motor drive for rugged terrain movement
• Multi-sensor data fusion for reduced false alarm rates
• Remote monitoring capabilities via web server
• Low-latency response system for emergency triggers

Specifications

• Hardware components: ESP32 Development Board, ESP32-CAM, Flame Sensor Array, DHT11 Temperature Sensor, MQ-2 Gas Sensor, L298N Motor Driver, DC Gear Motors, Chassis, Water Pump, Servo Motor, Li-ion Battery Pack, Relay Module
• Software components: Arduino IDE, C++, ESP-IDF, Web Server (HTTP), WiFi Stack

Report Contents

• Components List (BOM: Bill of Material)
• Block Diagram
• Flow Chart
• Components: Name, Images, Details
• Circuit Diagram
• Problem Statement
• Abstract
• Introduction
• Methodology
• Challenges and Solutions
• Performance Analysis
• Advantages
• Limitation
• Application
• Future Scope
• Conclusion
• Output Images
• Project Deliverables
• Project Hardware
• Project Report
• Project Simulation

Applications

• Industrial warehouse fire monitoring
• Chemical plant safety automation
• Server room thermal surveillance
• Residential smart home fire protection
• Mining shaft emergency response
• Oil and gas refinery safety patrols

Advantages

• Reduces risk to human firefighters in hazardous zones
• Provides immediate response to fire outbreaks
• Capable of operating in smoke-filled environments
• Low power consumption for long-term patrolling
• Cost-effective implementation using open-source hardware
• Real-time visual feedback for remote operators

Limitations

• Limited water tank capacity for large-scale fires
• Difficulty navigating very steep or uneven debris
• Sensor interference from strong ambient sunlight
• Dependence on WiFi stability for remote monitoring

Future Scope

• Integration of AI-based fire detection using Computer Vision
• Implementation of SLAM for precise indoor mapping
• Addition of CO2 or foam-based extinguishing agents
• Swarm robotics coordination for large area coverage
• Integration with central fire alarm systems via MQTT

Conclusion

The Autonomous Fire Detection and Rescue Robot successfully integrates sensor fusion and robotic control to address the critical need for automated fire suppression. By combining flame, gas, and temperature sensing with a mobile extinguishing platform, the system demonstrates a viable method for reducing the time between fire detection and intervention. While the current prototype is constrained by water capacity and basic navigation, it proves that an ESP32-based system can effectively manage complex emergency tasks. The trade-off between simplicity and robustness ensures that the robot is reliable for small-to-medium scale industrial applications. Ultimately, this project lays the groundwork for more advanced rescue robotics, potentially incorporating AI and swarm intelligence to further enhance safety and efficiency in disaster management scenarios.