RESEARCH

ABSTRACT

The implementation of autonomous robots for fire detection and suppression has become increasingly vital, particularly in critical infrastructures such as hospitals, where the need for efficient firefighting solutions is critical. However, many hospitals in the Philippines face challenges due to limited resources and outdated technologies. To address these issues, this study proposes an innovative solution: the Fire Detection, Alerting, and Quick Response robot system. By incorporating advanced technology such as the FT143 detector, network mapping, and GSM module with ATMEGA 2560, this system aims to provide precise fire detection, real time location identification, and efficient communication for firefighters via a web-based notification interface [1]. The primary goal is to significantly reduce response time and mitigate fire disasters, particularly in critical establishments like hospitals. The methodology involves designing and constructing a robot capable of promptly alerting responders upon fire detection and activating robot- based fire extinguishing mechanisms as a first response measure. This project represents a significant advancement in Fire Detection and Alarm System (FDAS) technology in the Philippines, offering a more integrated and technologically advanced approach to firefighting and emergency response in hospital settings. By implementing this system, the study seeks to enhance fire safety measures and improve emergency response capabilities, ultimately contributing to the protection of lives and infrastructure in the face of fire emergencies. The integration of autonomous robots in firefighting not only enhances the efficiency and effectiveness of response efforts but also addresses the challenges posed by limited resources and outdated technologies in critical infrastructures like hospitals, ensuring better protection and safety for all.

KEYWORDS

Fire detection, quick response, robot detector, network mapping, GSM module

CITATION

Morales, G. C. (2024). Fi-Ro: Fire Detection and Quick Response Robot using FT143 Detector, Network Mapping, and Notification System through the GSM Module and ATMEGA 2560. GUILD OF EDUCATORS IN TESOL INTERNATIONAL RESEARCH JOURNAL, 2(3), 20–53.
https://doi.org/10.5281/zenodo.13747593