Abstract

All Fire Alarm Systems essentially operate on the same fundamental principle and framework. It provides audible and visual alarm signals. An alarm is raised if a sensor detects smoke or heat, warns people that there may be a fire, and evacuate the premises immediately. Consequently, concerned individuals may call the fire department to mitigate the emergency at which, at this point of time, the firefighter's Emergency Respond Time (ERT) is vital. ERT is one of the contributing factors to how much fire will consume lives and, or properties. In worst cases, an entire building turns into ashes, lives taken because of a slow ERT. Then there are these casual "false-alarms" caused by the false-positive readings of the installed Fire Alarm Systems. These false alarms cause mass panic and consume firefighters' valuable time and resources. The instances mentioned above are a few reasons why there is a need to implement an efficient city-wide fire alarm system.
 This study focused on the design, development and testing of a wide-area Smart Fire Monitoring System comprised of major parts, the devices and the system software. Specifically, this study aimed to develop a smart fire alarm device using the Agile Prototyping Methodology (APM) and employ Agile Software Development Methodology (ASDM) for the development of the Smart Fire Monitoring System Software (SFMSS). For the development of the smart fire alarm device, the proponents assembled necessary sensors, electrical components, microcontrollers, and other electrical modules to create a working smart fire alarm device that abled to detect smoke; detect temperature spikes; detect the existence of fire; broadcast a GPS coordinates to the fire department; transmit and receive data through RF signals using long-range radio frequency (RF) module and SMS technology; and, be functional and operational under Low Power mode. Concomitant with this device is its system software, SFMSS, to manage and process the broadcasted data. SFMSS is a centralized system developed for the fire department to monitor the city for a fire outbreak. SFMSS continuously communicates with the fire alarm devices to autonomously monitor fire presence via radio frequency and process SMS notifications containing GPS coordinates, convert them into a readable address, and plot it in a city map in the event of a fire emergency. The proponents conducted a Stress and Reliability Test on the smart fire alarm device and Product Evaluation for Quality, Efficiency, and Usability with the Bureau of Fire Protection Region 6 for the entirety of the system.

Highlights

  • Frequent occurrence of urban fires is casual and rampant in any part of the world today (Masoumi et al, 2019)

  • This study focused on the design, development and testing of a wide-area Smart Fire Monitoring System comprised of major parts, the devices and the system software

  • Problematic cooking tools, faulty electrical wirings, flammable gas and fluids, matches, and lighters in the hands of playful children can cause tremendous damage to lives and properties if those mentioned above will result in uncontrollable fire (National Safety Council, 2018)

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Summary

Introduction

Frequent occurrence of urban fires is casual and rampant in any part of the world today (Masoumi et al, 2019). An action that is due to the statistical analysis on historical data that it is during this month that fire incidents mostly occur. In 2017 alone, Philippines encountered 14,000 fire breakouts, taking 304 human lives and turning P7.8B worth of property into ashes (COA, 2018). In 2018, Starting January 1 up to February 28 of the same year, the Bureau of Fire Protection and Management has registered 1,758 emergency fire breakout incidents all around the country, with a record of 22 death casualties, and over one billion pesos property loss. According to the Bureau of Fire Protection and Management statistical data, short-circuit in electrical wirings, unextinguished cigarette butts, and unattended flamed stoves, are the most common reasons for a fire outbreak country (Ferrer et al, 2020)

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