A Smart Helmet for Air Quality and Hazardous Event Detection for The Mining Industry

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Authors: Mr. S. Manoj, Tijo Shibu, S. Sree Hari
Cited by: 0

Abstract

Industrial safety plays a vital role in protecting workers and maintaining smooth industrial operations. In many industries such as mining, chemical plants, and manufacturing units, workers are exposed to dangerous conditions including toxic gases, high temperature, low oxygen levels, and poor air quality. These hazards can cause serious health problems, accidents, or even loss of life if not detected at an early stage. Therefore, continuous monitoring of the working environment is essential. The proposed system focuses on real-time monitoring of environmental parameters using a wireless sensor network. Sensors are installed in the working area to continuously measure temperature, humidity, and gas concentration. The collected data is transmitted wirelessly to a central monitoring station using Wi-Fi technology, allowing supervisors to monitor conditions remotely without being physically present at the hazardous site. When the sensor readings exceed safe limits, the system automatically generates an emergency alert. This alert helps authorities take immediate preventive actions such as evacuating workers or shutting down machinery, thereby reducing the risk of accidents like gas poisoning or explosions. In addition to automatic alerts, a manual emergency switch is provided at the worksite so that workers can instantly report dangerous situations. Worker safety equipment compliance is also addressed in this system. Many accidents occur because workers do not wear safety helmets properly. To overcome this issue, an IR sensor is used to detect whether a worker is wearing the helmet correctly. If the helmet is not worn, the system can send a warning or alert to the monitoring station. Overall, the proposed system enhances industrial safety by providing real-time monitoring, early hazard detection, and quick emergency response. It helps reduce industrial accidents, improves worker awareness, and ensures a safer working environment through the use of IoT and wireless communication technologies.

Fields of Study & Subjects

Industrial and Mining Safety Arduino and IoT Applications Wireless Sensor Networks and IoT

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026