A IOT-Based Safety Helmet for Monitoring Carbon Monoxide Levels in Mining

Iulyvia Andhani Bayhaqi; Muhammad Dhafi Aksan Aksan

Authors

Iulyvia Andhani Bayhaqi Universitas Pembangunan Nasional Veteran Jakarta
Muhammad Dhafi Aksan Aksan

Keywords:

Carbon monoxide, Internet of Things, Safety helmet, Mining, MQ-7 sensor

Abstract

This research discusses the development of an Internet of Things (IoT)-based safety helmet designed to monitor carbon monoxide (CO) levels in high-risk areas, such as mining. The helmet is equipped with an MQ-7 sensor that detects CO concentration and provides alerts through a buzzer and notifications to the Blynk app when CO levels exceed 35 ppm. The test results show that the helmet can detect CO levels in real-time with good accuracy. During testing, the CO levels remained below 35 ppm until 01:15, but increased to 36.21 ppm at 01:40, triggering the buzzer and a "Danger" notification. This system proves reliable as a hazardous gas monitoring tool and can enhance workplace safety in high-risk areas like mining by providing early warnings of potential gas poisoning hazards.

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