Abstract: The research status of intelligent monitoring and early warning technology in coal mine in China was summarized from the aspects of Internet of things, big data, cloud computing and artificial intelligence.According to practical application of intelligent monitoring technology in coal mine, the problems of intelligent monitoring and early warning in coal mine was points out, including poor reliability of precursory information collection of underground coal mine monitoring equipment, insufficient depth of cloud platform integrated application and fusion, weak database security, and immature application of artificial intelligence technology in coal mine monitoring.The development trend of intelligent monitoring and early warning technology in coal mine was prospected: the application of graphene/graphene oxide optical fiber sensors in intelligent monitoring system of coal mine can realize multi-source information perception and improve the reliability of precursory information collection; studying multi-technology deep cross fusion to explore deep value of monitoring data; constructing coal mine monitoring database based on block chain technology, ensuring that the database cannot be tampered and has good read and write performance; developing intelligent safety monitoring and warning system with adaptive and deep learning, realizing mine automatic monitoring and intelligent early warning.