Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
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---|---|---|
Article Number | 01166 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202343001166 | |
Published online | 06 October 2023 |
A Low-Cost Underground Mining and Miners Monitoring System Using Internet of Things
1, 2, 3, 4, 5 Department of Electronics and Communication Engineering, KG Reddy College of Engineering and Technology, Telangana India
6 Assistant Professor, Department of Electronics and Communication Engineering, GRIET, Bachupally, Hyderabad, Telangana
7 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007
The safety of mine workers is a serious worry nowadays. the miners construct underground rooms to facilitate the minerals to be taken out of the mine at work in, which requires greater output and a larger workforce. In underground mining work locations, 2753 injuries were reported as non-fatal lost- time, resulting in 190,005 lost workdays. The main aim of this proposed system is to save workers from sudden falling and detect the toxic gases present in the mining area. Using the IOT technology, we created a system with different types of sensors to solve these issues. We used flame sensor, temperature and humidity sensor and Gas sensor, to detect the toxic gas environment inside the mining and detect the fire burst inside mining in the first module. Accelerometer sensor is used to detect the falling of the worker and the pulse sensor is used to detect the heartbeat of the worker in the second module. We have created the two modules where one module is for miners monitoring and another is for mining monitoring All these sensors are integrated with the NodeMCU. All the obtained data is sent to thingspeak cloud and if any abnormality is detected we will receive a notification through email using alert API.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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