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HelpResponder-System for the Security of First Responder Interventions
M Cristina Rodriguez-Sanchez1, Luis Fernández-Jiménez1, Antonio R Jiménez2
1Electronics Department, Rey Juan Carlos University, 28933 Madrid, Spain.
This study introduces an integrated system for firefighters, using an autonomous robot with sensors and a BLE IoT network to locate fires in real-time. This enhances safety and efficiency during hazardous rescue missions in confined spaces.
Area of Science:
- Robotics and Automation
- Internet of Things (IoT)
- Fire Safety Engineering
Background:
- Firefighter interventions in hazardous environments necessitate advanced planning and real-time situational awareness.
- Existing communication and sensing technologies require optimization for effective use in fire rescue operations.
Purpose of the Study:
- To propose and validate an integrated firefighter intervention architecture for enhanced situational awareness and navigation in hazardous environments.
- To improve the speed and security of first responder interventions through real-time fire localization.
Main Methods:
- Development of an integrated system comprising sensing devices (flame detectors, CO2 sensors), an autonomous ground wheeled robot, and a Bluetooth Low Energy (BLE) IoT network.
- Intensive experimentation in real-world scenarios with controlled fires to demonstrate system feasibility and effectiveness.
Main Results:
- The proposed system effectively locates fire focus position and orientation in real-time, even in confined spaces with zero visibility.
- Demonstrated reduction in time and risk exposure for first responders during simulated fire rescue missions.
Conclusions:
- The integrated, location-aware fire system significantly enhances the speed and security of firefighter interventions.
- The developed architecture proves feasible and effective for improving situational awareness and navigation in complex fire environments.
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