Determination of a Mine Fire Intensity Using Atmospheric Monitoring System in a Ventilation Network
Public Domain
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2020/02/23
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Series: Mining Publications
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Description:Underground mine fires have long been and continue to be a serious hazard to miners' health and safety. Continuous monitoring of carbon monoxide (CO) and other fire-related parameters by means of an atmospheric monitoring system (AMS) has been widely applied by mine operators to detect fires at a very early stage. Researchers at the National Institute for Occupational Safety and Health (NIOSH) have devoted many efforts to the study of integrating real-time AMS sensor data with mine fire simulation programs to simulate and predict the spread of smoke, so as to provide assistance to mine fire emergency response personnel. The determination of fire intensity using the monitored sensor data is the most critical component of the successful application of this integration. Direct calculation of fire intensity using AMS sensor data has been achieved by NIOSH researchers, which has proven to be very promising when a fire is within a close range of sensors. This paper presents a methodology for determining fire intensity for the complicated scenarios where a fire is distant from sensors with the presence of airflow splits and merges. The method was validated using a full-scale diesel fire test conducted in the Pittsburgh Mining Research Division (PMRD) Safety Research Coal Mine (SRCM) and can help mine operators and safety personnel make informed decisions in a fire emergency. [Description provided by NIOSH]
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Pages in Document:1-4
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NIOSHTIC Number:nn:20059692
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Citation:MineXchange: 2020 SME Annual Conference & Expo, February 23-26, 2020, Phoenix, Arizona, preprint 20-005. Englewood, CO: Society for Mining, Metallurgy & Exploration, 2020 Feb; :1-4
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Contact Point Address:L. Zhou, CDC NIOSH, Pittsburgh, PA
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Federal Fiscal Year:2020
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Peer Reviewed:False
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Source Full Name:MineXchange: 2020 SME Annual Conference & Expo, February 23-26, 2020, Phoenix, Arizona, preprint 20-005
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Main Document Checksum:urn:sha-512:a41706b6b84b4b6844cbd33114a43a288cbf75fd98996b63d563db4fdc758bf8e17fe066e03f8b6b58ed8cc8b8c96d3dcffcf98e6b78f7530db83eac2c8051f7
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