Case Study on the Abnormal Airflow Diagnosis Method Using Atmospheric Monitoring Data
Public Domain
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2023/09/19
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Series: Mining Publications
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Description:A stable and well-maintained mine ventilation system is the key to ensuring a safe and healthy working environment for miners. A sudden, unplanned, and significant change in airflow termed as abnormal airflow is frequently observed in mine ventilation. Some abnormal airflows can return to normal without manual intervention; however, some abnormal airflows may cause catastrophic accidents if left unattended. In addition, abnormal airflow may be a consequence of an accident such as a blocked airflow route due to a roof fall. Promptly diagnosing and locating the cause of abnormal airflow can help prevent accidents. Researchers at the National Institute for Occupational Safety and Health (NIOSH) have developed a method to diagnose the cause of abnormal airflow for underground mine ventilation systems. The purpose of this paper is to verify the developed method using experimental tests conducted at NIOSH's experimental mine. The airflows were monitored by a real-time atmospheric monitoring system installed in the experimental mine during the tests. As demonstrated in this case study, the developed abnormal airflow diagnosing method, based on the resistance sensitivity and matching method, has been proven to be reliable. [Description provided by NIOSH]
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ISBN:9781032551463
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NIOSHTIC Number:nn:20069432
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Citation:Underground Ventilation: Proceedings of the 19th North American Mine Ventilation Symposium (NAMVS 2023), June 17-22, 2023, Rapid City, South Dakota. Tukkaraja P ed. London: CRC Press, 2023 Sep; :607-614
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Federal Fiscal Year:2023
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Peer Reviewed:False
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Source Full Name:Underground Ventilation: Proceedings of the 19th North American Mine Ventilation Symposium (NAMVS 2023), June 17-22, 2023, Rapid City, South Dakota
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Main Document Checksum:urn:sha-512:bf52ea43c3baaa06e79f8774ca93d6f11f343e830676a9785c3b1f6ed6f6bb9b77880abe33a0b29495a72e69bd01acc1f61603aa88e7ca7386f65741be3f0224
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