This study introduces a comprehensive end-to-end solution, combining hardware and software, for the collection and analysis of critical data in mining environments. It employs an Arduino-based safety helmet to gather environmental data within mines and subsequently conducts data clustering. The analysis of data from a Polish mine, as a proof of concept, reveals significant findings. It shows that miners were consistently exposed to high-temperature environments for 24.46% of their work hours, high humidity conditions for 23.39%, and elevated methane concentrations for 25.34% of the time. As a result, extended exposure to temperatures above ambient mean values corresponds to a 12% increase in heat-related illnesses, while high humidity environments lead to a 7% rise in workplace injuries. Environments with a high methane concentration was linked to an increased susceptibility to cardiovascular diseases. These insights highlight the potential for real-time monitoring and hazard mitigation, offering substantial benefits to both miners and employers.