Smart Helmet for Mining Workers

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Asian Journal of Applied Science and Technology (AJAST) , 2025

Coal mining involves various risks due to hazardous environmental conditions such as high temperatures, methane, carbon dioxide, and other toxic gases. Frequent accidents in mines highlight the need for advanced safety solutions to protect miners from these dangers. Ensuring the safety and security of workers in underground coal mines requires reliable monitoring and communication systems. The Smart Helmet is designed to address these safety concerns by incorporating sensors to detect temperature, light, and hazardous gases, along with a GPS tracker for location monitoring. It integrates a GSM module to send emergency SMS alerts to predefined contacts during critical situations, ensuring timely responses. A Wi-Fi-based monitoring system, enabled by the WeMos ESP8266 module, collects real-time data from the sensors and facilitates hazard alerts through an app-based interface and a buzzer system. This study provides an advanced safety solution for coal mine workers by enabling real-time monitoring of working conditions, rapid emergency alerts, and location tracking. The Smart Helmet enhances situational awareness, reduces accident risks, and supports swift action in emergencies, offering a practical and reliable approach to improving safety standards in the coal mining industry.

International Journal of Engineering Applied Sciences and Technology, 2022

Safety of life is the main challenge for all miners in the world today. Mining is one of the most dangerous activities in the world. The highest number of occupational deaths occurs in the mining industry. The safety of the miners in the mining industry is very important. Miners usually wear only a helmet with light for visibility. In some cases, it is difficult to identify the miner & #39; s health after an accident and give some advice about the miner's health. Their life safety is at a very low level. So, we can reduce the risk of mining and improve efficiency. The system we propose in this research not only focuses on miners' safety in the inside of the mine. In this research, we also focus on IoT applications. Using this application, we can get medical advice from doctors (Telemedicine) and can inform to the emergency unit. Also, this system has a gas detection system and Image processing to the environmental condition in mine and human through the accidents. The aim of this research is to create a software & hardware solution that provides a completely safe and automated experience for miners inside a mining site. It can be implemented in real-time and is expected to be implemented under general specifications for mining systems in the future.

Among victims of occupational accidents in South Korea for the past seven recent years (2008-2014), victims of accidents in the construction industry accounted for 27.35% and deaths among them accounted for 43.75%, representing the largest proportion of victims. Deaths by crashing accounted for the largest proportion of deaths, and the most frequently injured part of the body was the head. This study proposed and developed a smart helmet, which is an industrial safety helmet with a detachable smart module that uses a variety of sensors to collect workers' working status and, situations relating to safety for workers' safety in industrial sites. The proposed safety helmet is entitled to protective gear safety certification in South Korea, and the replacement cycle for the safety helmet is approximately three months, while there is no expiration term for the wireless module within the helmet. The use of the proposed safety helmet would allow the injured to receive emergency aid within the golden time when an accident takes place. Moreover, the helmet minimizes the loss of life on a national level, the production costs and the production time with the helmet may be reduced within the conventional industrial settings, and the development of the helmet itself may contribute to the advancement of smart technology.

IRJET, 2022

Mining provides work to millions of population, but the working conditions of the mining people are very poor. The workers travel deep into the mine and stay till evening in the place where the oxygen levels are low. Large explosives are used everywhere which complicates the workers duty both physically and mentally. IOT has a great importance with varying applications drawing attention to its construction [1]. To the contrary side the main objective of this research is to make the workers safe for mining industry applications which would be monitored by the system on the grounds of hazardous events such as temperature, humidity, gas. Once, there is a hazardous situation the workers press the panic button and the people on the other side would now that there might be some danger in the mine and thus the people are saved.

International Journal of Advance Scientific Research and Engineering Trends

An Safety helmet has been developed to assist the miners working in the mining industry. Harmful events tend to occur in the mining industry that can lead to severe injury or be fatal. LED miner's helmet is the most commonly used helmet because of light weight and low power consumption. However it does not improve the safety of miners apart from providing illumination. Zigbee wireless sensor networks are used to collect sensor data and transmit them. The zigbee based system is cost effective and details are shared with central control unit. This paper presents a study of the mining environment and its hazards and how a zigbee is used for transmission from miner to ground control system in case of hazardous events.

Pakistan is endowed with vast coal reserves, primarily in Sindh, totaling 184.623 billion tons. Our country's market has been rapidly expanding. As we all know, accidents are becoming more often in mines due to a shortage of competent workers, miners' safety cannot be guaranteed, and coal manipulation is impossible. Men who are currently employed in coal mining must confront environmental constraints. Temperature, carbon dioxide, and methane are all threats to them. As a result, we must provide security for the men and women who are now employed in coal mining. The goal of this study is to provide a solution to mining through communication and security monitoring. Coal mining has a unique function in the modern world; it has the potential to save the lives of coal miners by creating particular gadgets that can be extremely beneficial to the industry's workers. People working in underground coal mines must utilize several characteristics such as smart helmets with sensors such as removers, collision detectors, gas detectors, and the helmet. Here, we must organize our circuit within the Smart Helmet in order to provide security to the man who is now employed in coal mining. Coal mining remains a hazardous activity that can have a variety of negative environmental implications, such as the discharge of hazardous gases during mining operations. The helmet is equipped with a Wi-Fi-based monitoring system that communicates with all of the trackers via Wi-Fi networks to provide data. As a result, the Smart Helmet indication takes the required precautions to avoid any potentially dangerous situations and sends out an alert through buzzer and Cloud Based Monitoring. The data is collected using ESP32 Arduino created tracker circuitry. It aids in the mapping of worker locations.

Research Square (Research Square), 2021

Regarding the hazard-prone working conditions in underground mines, synchronous monitoring and alarm system is vital to increase the safety. By analyzing the accidents in underground mines in Iran, it can be deduced that most fatalities are related to harmful gas leakage, objects drop off on the head, and not using helmets by the staff. Therefore, a smart helmet with the capability of measuring harmful gasses (regarding the type of the mine), detection of the existence of the helmet on the head, temperature and humidity measurement, and detection of blow on the head is designed and fabricated to eliminate the present dangers and problems. This system displays the evaluated data on a developed software through wireless data transmission hardware. The data transmission hardware is the primary link between the intelligent safety helmet and the software. To follow the idea, practical experiments have been performed in Parvadeh four and East Parvadeh of Tabas coal mine to con rm the validity of data transmission that culminated in successful results. The results were altered by the complexity of the design of the underground spaces so that in a straight direction, data transmission was held until 430 meters. However, further progress was not possible due to tunnel limitations. Data transmission was reduced to 190 meters in access horizons with curvatures or tilts. According to present standards, some thresholds are de ned for each of the mentioned cases such that alarm protocol is activated by exceeding these thresholds in critical circumstances. Then the helmet user and the software's operator will be informed of the occurred danger and will settle the problem.

Information and communication technologies have aided advancements in providing a healthy and safe working environment at the workplace. Using ICT-based Personal Protective Equipment (PPE) minimizes the likelihood of workplace accidents due to the technology embedded equipment able to make decisions based on environmental factors. The Internet of Things (IoT) and Communication Technologies enable the generation of PPE models and devices with innovative features such as environmental sensing, monitoring, and risk identification, among others. Human resources working underground are confronted with various real-time issues resulting in significant health problems or even death. Human resources involved in working underground are confronted with various real-time issues that can result in significant health problems or even death. Mine workers are particularly vulnerable to toxic gases and changes in ambient conditions such as temperature, humidity, and so on. Various warning generation devices have been created, with a few implanted in mining fields. Existing warning generation systems are ineffective in protecting and saving workers' life pneumoconiosis diseases. They cannot recognize health symptoms that occur in real-time, such as choking, heart rate fluctuations, and others. The proposed work emphasizes the development of a real-time surveillance helmet that incorporates IoT Sensors that can rescue with early-warning intelligence on the presence of fire, silicosis dust particles, temperature, harmful gases, and others that will reduce worker health risks. A builtin GPS tracker will aid in tracking the miner's current location. Proposed work will reduce the number of hazardous accidents and deaths in such areas. Based on the accuracy parameter, this work is evaluated in three different working environments. According to the analysis, the proposed prototype's accuracy in the coal mine working environment is approximately 96 percent, 99 percent in the indoor, and 97 percent in the outdoor (industrial) working environments.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

In recent times, mining has been a dangerous activity taking a severe toll on the lives of miners. Underground mining hazards include gas poisoning, suffocation, roof collapse, and gas explosion. This project aims to develop a smart helmet based on Zigbee wireless technology to build wireless sensor networks for real-time surveillance and monitoring hazardous gases and abnormal levels of temperature and humidity in the mine. These three parameters are continuously being detected using the gas sensor(s), temperature and humidity sensor, and if the predefined limit is crossed, a buzzer and LED will be initiated. Two infrared sensors, one inside and one on the surface of the helmet, are placed to check if the helmet is properly placed and to detect collision from falling debris, respectively. These values are continuously being transmitted to the control room for monitoring. In case of any hazardous situation, the led and buzzer are activated in the control room as well as on the miner's helmet. The helmet is powered by the energy generated from piezoelectric sensors placed in the miner's shoes, which work on the principle of vibration detected from the miner's movement. The safety measures included in our project can drastically help us avoid mining accidents and thus saving invaluable lives.