煤矿安全2024，Vol.55Issue(3)：99-110,12.DOI:10.13347/j.cnki.mkaq.20231578
矿井煤自燃灾害监测预警技术及发展趋势
Coal spontaneous combustion disaster monitoring and early warning technologies and development trend for coal mines
摘要
Abstract
For reducing the incidence of mine fires,the limitations and shortcomings of the existing monitoring and early warning technologies for coal spontaneous combustion disaster are sorted out,and it is pointed out that the future development should focus on the application of advanced monitoring technology,the improvement of the accuracy of prediction technology,the development of early warning system and intelligent management.Aiming at the hidden,persistent,proliferation and difficult to control character-istics of coal spontaneous combustion disaster,the future development direction of coal spontaneous combustion disaster monitoring and early warning technology is proposed:improve the comprehensiveness of the method for determining the critical value of natur-al ignition of coal,and use emerging equipment and advanced technology to improve the method of determining the critical value of natural ignition of coal;for the complex coal spontaneous combustion environment of the mine,and the comprehensive and refined monitoring parameters of the spontaneous combustion of coal can be improved by studying new advanced technologies such as acoustic wave detection;promote the innovation of coal spontaneous combustion monitoring and early warning technology and the intelligence of decision-making,and use digital twin technology to provide accurate simulation and prediction capabilities,optimize prevention and control plans,provide training and emergency management,as well as the help in data analysis and decision support;focus on the intelligent integration of comprehensive perception,accurate prediction and prevention and control of coal spontaneous combustion disasters,and strengthen the research on technologies such as data analysis of coal spontaneous combustion disasters,active early warning before disasters,post-disaster accident management,and automatic closure of fire areas.关键词
矿井火灾/煤自燃/智能监测预警技术/煤自燃标志气体/智能算法/全面感知/精准预测/防控一体化Key words
mine fire/coal spontaneous combustion/intelligent monitoring/early warning technology/indicator gas/intelligent al-gorithm/total perception/accurate prediction/integration of prevention and control分类
矿业与冶金引用本文复制引用
邓军,张琦,陈炜乐,白祖锦..矿井煤自燃灾害监测预警技术及发展趋势[J].煤矿安全,2024,55(3):99-110,12.基金项目
国家自然科学基金资助项目(51974234,52004211) （51974234,52004211）
陕西省重点研发计划资助项目(2021GY-278) （2021GY-278）
