IoT-Based Environmental Monitoring and Early Warning System for Residential Safety

This project presents an Internet of Things (IoT)-Based Environmental Monitoringand Early Warning System for Residential Safety for improving human safety through real-time environmental monitoring and automatic emergency response. The system uses MQ2,MQ4, DHT11, and Flame sensors to detect gas leakage, smoke, methane gas, temperature,humidity, and fire conditions. The detected conditions are classified into three states: Safe,Warning, and Danger. Traffic light LEDs, a buzzer, and a DC fan provide automatic visual,audible, and safety responses. Sensor readings and system status are displayed on an LCD anduploaded to the ThingSpeak cloud platform for remote monitoring. Telegram notifications aresent to family members and rescue personnel during emergency conditions. When fire isdetected, the system activates the buzzer, opens an emergency exit door using a servo motor,and uses the SIM900A GSM module to send an SMS containing the alert and a predefinedhome address, as well as make an emergency phone call. The proposed system provides a low-cost and efficient solution for early hazard detection, accident prevention, and rapid emergencyresponse.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23015974
Primary Topic
Fire Detection and Safety Systems
Type
article
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article

IoT-Based Environmental Monitoring and Early Warning System for Residential Safety

Tun Myat Aung
Zenodo (CERN European Organization for Nuclear Research)
Fire Detection and Safety Systems
article

IoT-Based Environmental Monitoring and Early Warning System for Residential Safety

Tun Myat Aung
article en

Abstract

This project presents an Internet of Things (IoT)-Based Environmental Monitoringand Early Warning System for Residential Safety for improving human safety through real-time environmental monitoring and automatic emergency response. The system uses MQ2,MQ4, DHT11, and Flame sensors to detect gas leakage, smoke, methane gas, temperature,humidity, and fire conditions. The detected conditions are classified into three states: Safe,Warning, and Danger. Traffic light LEDs, a buzzer, and a DC fan provide automatic visual,audible, and safety responses. Sensor readings and system status are displayed on an LCD anduploaded to the ThingSpeak cloud platform for remote monitoring. Telegram notifications aresent to family members and rescue personnel during emergency conditions. When fire isdetected, the system activates the buzzer, opens an emergency exit door using a servo motor,and uses the SIM900A GSM module to send an SMS containing the alert and a predefinedhome address, as well as make an emergency phone call. The proposed system provides a low-cost and efficient solution for early hazard detection, accident prevention, and rapid emergencyresponse.

Zenodo (CERN European Organization for Nuclear Research)
University of Computer Studies, Hinthada (MM)
Good health and well-being
Openalex Percentile: Top 12%
Fire Detection and Safety Systems
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IoT-Based Environmental Monitoring and Early Warning System for Residential Safety — Tun Myat Aung · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS