�SUNOGALERT�: HOMEOWNERS� SMART UNIFIED NETWORK FOR OUTSTANDING GAS LEAKAGE AND FIRE DETECTION ALERT SYSTEM

Abstract

Kitchen fires represent a critical and pervasive safety concern, capable of causing extensive property damage and loss of life, and account for a significant portion of overall fire incidents. While gas leakage and fire detection systems exist today, they have limitations in terms of affordability and effectiveness in alerting individuals to potential hazards. This highlights the need for an investigation into a cost-efficient, IoT-based detection and alert system with multiple sensors and real-time monitoring capable of providing timely alerts beyond the immediate locality. This study utilized MQ6, LM35, LM393, and HC-SR501 sensors for gas, flame, heat, and motion detection, along with a GSM module, LED light, and buzzer for alerts. An Arduino Uno microcontroller and a Wemos D1 were used to enable IoT capabilities and real-time monitoring of environmental conditions. When sensor thresholds were reached, SMS alerts, visual indicators, and audible alarms were activated. A motion sensor was employed to detect human presence and prevent false alarms during kitchen activities. Integration with the Arduino IoT Cloud allowed remote monitoring through an application and website, as well as customizable contact numbers for SMS alerts. Following a true experimental research design, the SUNOGalert device was assessed through simulated kitchen fire scenarios and compared with conventional systems. The results showed that SUNOGalert achieved an average response time of 1.32 seconds for light and buzzer alerts, which is 96.7% faster than existing systems, and 7.69 seconds for SMS alerts. The device demonstrated a 100% detection accuracy rate and, with a cost of Php 2,390, proved to be 23.40% more cost-efficient than conventional systems. Overall, this research successfully developed an IoT-based multisensor gas leakage and fire detection alert system capable of delivering timely alerts, accurate detection, and a usable, maintainable, and cost-efficient solution, making it a promising approach for enhancing residential safety.