| Autor: |
Nguyen Duyen Phong, Uong Quang Tuyen, Osinski, Piotr |
| Předmět: |
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| Zdroj: |
International Journal of GEOMATE; Jul2024, Vol. 27 Issue 119, p100-111, 12p |
| Abstrakt: |
In underground coal mining activities in the world in general and in Vietnam in particular, toxic gas incidents often occur, endangering people and equipment safety. Toxic gases originate from underground mines and are difficult to detect by the human senses. In this study, IoT wireless technology is used to connect sensors, based on the Arduino platform to measure toxic gas concentrations providing miners with early warnings to help prevent risks and unfortunate incidents. The application of IoT in early warning of risks and incidents in underground coal mines is highly appreciated in improving the overall monitoring process and contributing to achieving the goal of zero incidents during the mining process. Empirical evidence from studies over the last five years has shown the benefits of using sensors in mines for real-time monitoring in eliminating mining incidents. The toxic gas concentrations are measured using gas detectors using specific electrochemical sensors measured in the ppm range. The data is uploaded through Lora modules, and then transmitted to the Cloud server. Data analyzed by the server is employed to provide early warnings of risks and incidents in underground coal mining activities. This system has been proven suitable for deploying in underground coal mines. The present study shows that reducing the amount of transmitted unnecessary data can be sampled on a larger time scale and still give accurate measurement results, making the entire system more efficient and sustaining a required level of safety using the proposed approach allows uploading the sensor reading into the application and are easy to process and verify. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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