摘要
介绍了基于数据、知识、算法、算力四要素搭建的AI智慧煤矿安全预警系统的架构及建设要素,分析了该预警系统在综采、掘进、运输工作面的应用场景,指出未来应加强多灾害耦合致灾机理、多源海量数据深度挖掘技术、透明地质等方面的研究。
The architecture and construction elements of AI intelligent coal mine safety early warning system based on data,knowledge,algorithm and computing power were introduced.The application scenarios of this early warning system in fully mechanized mining,excavation and transportation were analyzed,and it was pointed out to strengthen the future research on the multi-disaster coupling disaster mechanism,multi-source mass data deep mining technology,transparent geology and so on.
作者
于海鹏
张润廷
苏宁
Yu Haipeng;Zhang Runting;Su Ning(Inner Mongolia Dayan Mining Group Co.,Ltd.,Hulunbuir Inner Mongolia 021100,China;Guoneng Baori Xile Energy Co.,Ltd.,Hulunbuir Inner Mongolia 021599,China;Xi′an Fangwei Technology Co.,Ltd.,Xi′an Shaanxi 710075,China)
出处
《煤化工》
CAS
2024年第4期115-118,共4页
Coal Chemical Industry
关键词
AI智慧煤矿
安全监控
识别预警
数据
知识
算法
算力
AI intelligent coal mine
safety monitoring
identification warning
data
knowledge
algorithm
computing power