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GAS LEAKAGE AND FIRE DETECTION AND FIRE DETECTION +SMR NOTIFICATION

Jul 2026 · International Journal of AI Electronics and Nexus Energy · Vol 2, pp. 69-80 · 0 citations · 6 references

Abstract

Gas leakage and fire accidents represent major safety threats in residential buildings, commercial establishments, industrial facilities, laboratories, kitchens, warehouses, and other enclosed environments where combustible gases and ignition sources are present. Conventional safety mechanisms frequently depend on isolated smoke alarms, manual inspection, fixed threshold detectors, or locally activated buzzers that may fail to provide timely remote information when occupants or responsible personnel are away from the affected location. Delayed identification of liquefied petroleum gas leakage, combustible gas accumulation, abnormal temperature rise, smoke formation, or open flame can lead to explosions, structural damage, environmental contamination, financial loss, severe injury, and loss of life. This research proposes an intelligent Gas Leakage and Fire Detection with SMS Notification System that integrates gas sensing, flame detection, temperature monitoring, embedded processing, local alarm generation, actuator control, and GSM-based remote notification within a unified real-time safety architecture. The proposed framework continuously acquires environmental information through an MQ-series combustible gas sensor, flame sensor, and temperature sensor. Sensor readings are processed by a microcontrollerbased decision unit that performs signal conditioning, threshold evaluation, multi-sensor event correlation, and hazard classification. The system categorizes environmental conditions into Normal, Gas Leakage Alert, Fire Warning, and Critical Emergency states according to the detected combination of gas concentration, flame presence, and abnormal temperature behavior. When hazardous gas accumulation is identified, the system activates a local buzzer, warning indicator, ventilation or exhaust mechanism, and GSM communication module to transmit an SMS notification to registered users or emergency personnel. When fire-related indicators are detected, the framework generates an immediate high-priority alarm and sends location-aware emergency information through SMS. The proposed architecture consists of five interconnected layers: Environmental Sensing and Data Acquisition, Signal Processing and Hazard Intelligence, Embedded Decision and Event Classification, Alert and Emergency Response, and User and Monitoring layers. The framework is designed to provide continuous monitoring, rapid hazard recognition, local and remote notification, improved response coordination, and practical deployment across homes, industries, laboratories, warehouses, kitchens, and commercial facilities. Illustrative conceptual evaluation demonstrates that the proposed system can achieve improved detection accuracy, alert reliability, multi-sensor hazard recognition, and lower response latency compared with conventional standalone gas alarms, smoke-only detectors, and isolated threshold-based systems. The proposed framework provides a scalable foundation for intelligent environmental safety monitoring and timely emergency communication.

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