Detection of Fire Source in Underground Coal Mine and its Applications

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Detection of Fire Source in Underground Coal Mine and its Applications

Scientific standards, measurement etc Fire protection and safety Mining technology and engineering

Authors: Yang Xiao, Chi-Min Shu, Shuai-Jing Ren

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Collection: Engineering

Language: English

Published by: Springer

Published on: 19th April 2026

Format: LCP-protected ePub

ISBN: 9789819570645


Introduction

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.

Understanding Coal Fire

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.

Detection Methods

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.

Recent Advances

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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