摘要
随着近年来人工智能技术的快速发展,其在煤矿安全监控系统中的应用日益广泛,保障煤矿安全生产的迫切性也加速了人工智能技术在智能煤矿领域中的研究。本文阐述了人工智能技术的发展现状,分析了人工智能技术在矿井人员检测、运输皮带异常检测、设备故障诊断、矿井瓦斯浓度预测四个领域中的研究现状,并对人工智能技术在智能煤矿领域的研究前景进行了展望。
Along with the rapid development of artificial intelligence technology,its application in coal mine safety monitoring system has been widely distributed.The urgency of ensuring safety of coal mine production also facilitates research of artificial intelligence applied in intelligent coal mine.This paper introduces the development status of artificial intelligence technology,followed by analysis of artificial intelligence research in corresponding fields,including mine personnel detection,abnormal detection of transport belt,equipment fault diagnosis and mine gas concentration prediction.On this basis,research prospects of artificial intelligence technology in intelligent coal mine also be expected in this paper.
作者
王子良
李作淘
阚朝东
Wang Ziliang;Li Zuotao;Kan Chaodong(Xing'an Coal Mine of Heilongjiang Longmei Hegang Mining Co.,Ltd.,Heilongjiang,154100;School of Electrical and Control Engineering,Heilongjiang University of Science and Technology,Heilongjiang,150022)
出处
《当代化工研究》
2022年第11期85-87,共3页
Modern Chemical Research
基金
2022年黑龙江省教育厅“煤矿机电设备振动在线监测及云智能诊断系统”(项目编号:7020000080926)。
关键词
人工智能
智能煤矿
安全监控系统
artificial intelligence
Intelligent coal mine
safety monitoring system
