Research progress and trend analysis of comprehensive prevention and control of coal spontaneous combustion throughout all stages
YANG Yingbing
XING Zhenqiang
ZHANG Yunzeng
GUO Jiace
LI Long
LU Wenyong
CHEN Minghao
Abstract：To gain a profound understanding of the current status and future trends in the comprehensive prevention and control of coal spontaneous combustion,this paper comprehensively reviews stages and research progress in the aspects of"monitoring and early warning,prevention technology,and emergency rescue".The following future research aspects are proposed:utilizing ad-vanced technologies such as comprehensive multivariate statistical analysis,the Internet of Things(IoT),machine learning,and arti-ficial intelligence to enhance the accuracy of coal spontaneous combustion prediction and forecasting.This involves constructing an intelligent,proactive warning,and situational judgment mechanism to achieve intelligent prediction,forecasting,and proactive warn-ing systems.Through the comprehensive application of interdisciplinary research methods,gaining in-depth insights into the spon-taneous combustion mechanism,innovative fire-resistant materials,and the development of new microbial technologies,theses make the technology of spontaneous combustion prevention and control of coal present a trend of in-depth research and multiple innova-tion.Under the framework of an efficient,collaborative,and intelligent rescue mechanism,the emergency rescue for coal spontan-eous combustion is advancing towards a more intelligent and information-oriented direction.The goal is to promote the intelligent advancement of the coal spontaneous combustion prevention and control level.
Keywords：spontaneous combustioncomprehensive prevention and control throughout all stagesmachine learningartificial intel-ligencediverse innovationinformatizationmonitoring and early warningfire prevention and controlemergency rescue
Publication Date：2024-07-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：17( 85-101 )