Detection of Fire Source in Underground Coal Mine and its Applications
Description
This book details the prevention and control of coal fire disasters. It mainly describes the occurrence and evolution mechanism of coal fire, the characteristic parameters and information recognition of coal fire and briefly introduces the detection principle, characteristics and equipment of current coal fire detection technology. Through in-depth analysis of the principle of spontaneous combustion of coal, readers can understand how underground coal fire is generated and what factors will accelerate or inhibit the combustion of coal fire. The theoretical knowledge of geophysics, geology, chemistry, sonics, quantology, and other disciplines is introduced to provide a solid theoretical basis for underground coal fire detection. For example, the location, scope, and combustion state of underground coal fire can be detected by electromagnetic method and seismic method in geophysics. The book focuses on the application methods and practical cases of various underground coal fire detection technologies, including remote sensing technology, geophysical detection technology, drilling temperature measurement technology. Of course, the latest research achievements are also introduced, including the theoretical basis and future applications of acoustic detection and quantum detection methods. Through the analysis of practical cases, readers can understand the application effects and limitations of these technologies in different regions and different geological conditions, which can provide reference for coal fire disaster detection research.
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Yang Xiao is a Huyang scholar, distinguished professor, Ph.D. supervisor, visiting scholar of De Montfort University, and visiting scholar of National Yunlin University of Science and Technology. Yang Xiao is a coalmine safety production expert of Shaanxi Coal Mine Safety Supervision Bureau, member and young expert in Academic Committee of Safety in Coal Mine, young editorial board of Journal of Xi'an University of Science and Technology, winner of International Mannan Award, member of the 7th Mine Ventilation Professional Committee of China Coal Industry Safety Science and Technology Society, member of National Science and Technology expert Database, and fellow of the Royal Society of Chemistry (FRSC), and the Institution of Engineering and Technology (FIET).
Chi-Min Shu (b. 1958, Taichung, Taiwan) is a distinguished chair professor at National Yunlin University of Science and Technology (YunTech) and president of the Institute of Industrial Safety and Disaster Prevention in Taiwan. He earned a B.S. in Chemical Engineering from Tunghai University (1982) and an M.S. (1987) and Ph.D. (1990) from the University of Missouri-Rolla. He worked as a process engineer at Bechtel Corporation (1990-1994) before joining YunTech in 2003, becoming a distinguished chair professor in 2016 and serving as an academic vice president (2017-2019). He is currently an assistant to the president. Prof. Shu has published over 650 SCI-indexed articles and received numerous awards, including the Excellent Teacher Award (MOE Taiwan), Outstanding Research Award (National Science and Technology Council), Distinguished Contribution to Industry-Academia Cooperation (MOE Taiwan), and Outstanding Alumnus Award (Tunghai University, 2023).
Shuai-Jing Ren, member of Shaanxi Province Coalmine major disaster risk expert Group, member of China Coal Society, selected the 9th China Association for Science and Technology Young Talent Promotion Project, mainly engaged in coal fire disaster prevention, urban safety, and intelligent fire protection teaching and research work. Shuai-jing Ren presided over the National Natural Science Foundation Youth Project, China Postdoctoral Science Foundation project, Shaanxi Provincial Natural Science Foundation youth project. Shuai-Jing Ren has participated in 9 projects, such as National Natural Science Foundation Project and Shaanxi Provincial key research and development international cooperation project and more than 10 school-enterprise cooperation scientific research projects.
Content
Occurrence and evolution mechanism of coal fire disaster.- Identification of coal fire characteristic parameters and information.- Coal fire detection technology assembly.- Infrared remote sensing detection method.- Temperature detection method.- Indicator gas detection method.- Electromagnetic detection method.