Abstract
Nowadays, some of the raw materials are extracted from deposits in so-called deep mines. Mining technology used for this process has not changed significantly; however, environment becomes more and more harsh. It directly influences the comfort of people performing their tasks, especially in close distance to relatively poorly ventilate mining faces. Environmental conditions in the underground corridors might change relatively quickly. In addition, each person might be sensitive to given conditions at various levels, which can also vary in time. In general, the problem of difficult working conditions might be associated with human fatigue and it has a direct link to safety issues, which is one of the most important aspects of mine operation in recent decades. Solving such a problem is a complex task. In this paper, we describe a portable monitoring system for an individual miner, which can measure location of an employee, his/her activity (walk, work, sitting, standing, etc.), basic physiological parameters (temperature, pulse), and environmental parameters (temperature, humidity, gas presence). This information can be stored locally. Black-box-type purpose of the system allows to transfer recorded data to higher-level database after each shift. In the context of analyzing human activity, it is essential to investigate long-term trends in acquired data rather than local disturbances. Most of data analysis is planned to be done in offline mode. However, for safety reason, some crucial parameters, such as H2S or CO presence, should be analyzed in real time to provide information about gas concentration in given mining cavity. The system should be lightweight, reliable, and non-disturbing for miners. Authors propose to deploy the system using Arduino platform, which is inexpensive and commonly available. Moreover, miniaturization in sensor technology helps making the system as unnoticeable and comfortable for the miner as possible.
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Acknowledgements
This work is supported by the KGHM Cuprum R&D Ltd. statutory grant “Analiza możliwości technologicznych nawigowania i analizy parametrów aktywności fizycznej pracowników dołowych w trudnych warunkach środowiskowych kopalni podziemnej”.
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Stefaniak, P., Wodecki, J., Michalak, A., Wyłomańska, A., Zimroz, R. (2019). Data Acquisition System for Position Tracking and Human-Selected Physiological and Environmental Parameters in Underground Mine. In: Widzyk-Capehart, E., Hekmat, A., Singhal, R. (eds) Proceedings of the 18th Symposium on Environmental Issues and Waste Management in Energy and Mineral Production. SWEMP 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-99903-6_21
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DOI: https://doi.org/10.1007/978-3-319-99903-6_21
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