G.A.R.D. (GAS ALERT AND REAL-TIME DETECTION) DEVELOPMENT OF AN IOT-ENABLED GAS (LPG) LEAKAGE DETECTION WITH MOBILE APP INTEGRATION

Eklavya I’oan M. Sohal | Lloyd Andrew D. Agbisit | Gabriel Micha G. Balignasay | Rysa Miel R. Magllanes | Michelle Angela M. Salazar | Denise Aiverlyn D. Villar | Jerkin Jexel Pedrosa | Joseph De Mata |

April 30, 2026

This study developed an IoT-enabled LPG gas leakage detection system with real-time alerts to reduce fire and explosion risks. Using an MQ-6 gas sensor and DHT22 temperature sensor, data is processed by an ESP32 microcontroller, triggering a five-LED indicator and buzzer for local alerts. Simultaneously, a LoRa module sends data to a secondary ESP32 and the G.A.R.D. mobile app for remote monitoring. Tests showed reliable detection and notifications within 10–30 m (mean times 10.69–13.28 s, SD < 1). G.A.R.D. maintains reliable performance between 40m and 60m; however, signal failure occurs beyond 70m due to environmental and signal interference. The system provides a portable, IoT-integrated solution that combines local and remote alerts.

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