Real-Time Monitoring and Alarm System in Underground Coal Mines Using Smart Helmets (A Case Study: Tabas Coal Mine)

Author:

Ghadyani Daniyal1,Badraddini Amirhossein1,Kazemi Mohammad Mirzehi Kalateh2,Sarfarazi Vahab3,Mostofi Sohrab Naser2,Khodabandeloo Vahid4

Affiliation:

1. Amirkabir University of Technology

2. Tarbiat Modares University

3. Hamedan University of Technology

4. Tehran University: University of Tehran

Abstract

Abstract 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 confirm 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 defined 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.

Publisher

Research Square Platform LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Coal Mining Surveillance Robot;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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