Empirical Evaluation of Internet of Things Assisted Fire Fighting Robotic Design Based on Intelligent Sensors Association

This research work presents the design and implementation of an Internet of Things (IoT) assisted fire fighting robotic system based on intelligent sensors association. The system integrates various components including intelligent sensors for detecting fire, smoke, temperature changes, and gas emissions, Arduino microcontrollers for data processing and control logic execution, Wi-Fi communication modules for remote monitoring and data exchange, and actuators for physical motion and manipulation tasks. Through the integration and coordination of these components, the firefighting robot achieves autonomous capabilities in detecting, localizing, and responding to fire incidents effectively. The intelligent sensors, including the MQ-2 Gas Sensor, TMP36 Temperature Sensor, MQ-7 Carbon Monoxide Sensor, and MLX90614 Non-Contact Infrared Temperature Sensor, provide real-time environmental data inputs to the Arduino Uno microcontroller, which interprets sensor readings, executes decision-making algorithms, and orchestrates responses. Leveraging bidirectional Wi-Fi connectivity facilitated by the ESP8266 Wi-Fi Module, the system enables remote monitoring and data exchange, empowering operators with situational awareness for informed decision-making. Actuators such as DC Gear Motors and SG90 Micro Servo Motors translate digital commands into mechanical motion and manipulation, enabling the robot to navigate through fire-affected environments, manipulate fire fighting tools, and execute precision fire fighting maneuvers. This abstract presents a comprehensive overview of the IoT-assisted fire fighting robotic system, highlighting its autonomous capabilities, integration of components, and potential for enhancing fire fighting efficiency and safety.