Research progress and trend analysis of comprehensive prevention and control of coal spontaneous combustion throughout all stages

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 advanced technologies such as comprehensive multivariate statistical analysis, the Internet of Things (IoT), machine learning, and artificial 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 warning systems. Through the comprehensive application of interdisciplinary research methods, gaining in-depth insights into the spontaneous 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 innovation. Under the framework of an efficient, collaborative, and intelligent rescue mechanism, the emergency rescue for coal spontaneous 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 combustion
• comprehensive prevention and control throughout all stages
• machine learning
• artificial intelligence
• diverse innovation
• informatization
• monitoring and early warning
• fire prevention and control
• emergency rescue