Prediction of Strata Monitoring System in Underground Coal Mines Using IoT
Authors
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CSIR-Central Institute of Mining and Fuel Research, Dhanbad – 826 015
Shankhajit Mitra -
Indian Institute of Technology (ISM) Dhanbad – 826 004
Dheeraj Kumar
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CSIR-Central Institute of Mining and Fuel Research, Dhanbad – 826 015
S. K. Chaulya
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Indian Institute of Technology (ISM) Dhanbad – 826 004
Chiranjeev Kumar
DOI:
https://doi.org/10.1007/s12594-022-1963-8Keywords:
No KeywordsAbstract
Underground coal mines are known for being one of the most hazardous sectors due to its working environment. The mine workers are usually prone to many risk factors leading to heavy casualties. As per the statistical records of Directorate General of Mines Safety, roof fall is one of the major causes of accident in Indian underground coal mines. One of the critical contributing factors of such accidents is lack of roof fall prediction system, thereby leading to failure to withdraw or removal of working persons before the actual failure. Real-time monitoring of strata movement and analysing the acquired data for predicting possible roof fall well in advance through an effective intelligent system can certainly pave way in reducing the accidents due to roof fall.
The paper presents an integrated strata management system for continuous monitoring of strata behaviour and analysing the data using artificial intelligence for prediction of failure of strata ahead of time. This web-based monitoring system initially sets the customizable threshold values according to the mine conditions followed by continuously monitoring of the strata conditions including triggering an alarm system when the retrieved data crosses the set threshold limit.
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References
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