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Advanced IOT based Gas Detection System using Edge Computing and 5G Connectivity

Year: 2025
Type: article
Abstract: The increasing frequency of gas leak incidents in residential and industrial settings highlights the importance of effective safety monitoring. This project introduces an advanced IoT-based smart gas detector and notification system that uses Arduino Uno, ESP8266 Wi-Fi module, GSM module, and LCD display to detect gas leaks and send alerts. The system uses MQ-series gas sensors to identify hazardous gases such as LPG, methane, or CO2. By incorporating edge computing, the system processes sensor data locally on an Arduino or microcontroller, which reduces latency and improves data security. This approach enables faster decision-making in emergency situations. If a gas leak is detected, the system activates an alert via LCD display and buzzer. At the same time, the ESP8266 module sends real-time notifications to a cloud-based IoT platform, while the GSM module provides SMS alerts to pre-programmed phone numbers. The use of edge computing reduces the dependency on cloud services, ensuring that real-time decisions are made locally. This dual-communication approach ensures timely and reliable response, helping to prevent accidents. The system, powered by regulated power, is designed for efficient operation in both domestic and industrial environments. The proposed solution provides real-time monitoring, automation, and remote access, providing an effective and cost-effective method for gas leak detection and notification.
Language: English
Open Access status: bronze
OpenAlex ID: W4411111587
FWCI:
Cites: 8
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Related to: 10