带式输送机是煤炭主运输系统的关键装备，带式输送机的智能化是矿井煤炭安全高效运输的 重要保障，对于提升煤矿安全水平、保障煤炭稳定供应具有重要意义。在新技术革命的推动下，带 式输送机智能化领域处于加速发展阶段，信息系统平台、智能控制、测量感知等智能化关键技术不 断取得进展，呈现多点突破、全面发展的态势，但相关技术在煤矿企业多为试验性应用，未得到普 遍推广。综述了近年来带式输送机智能化关键技术的发展情况，分析了工程应用中存在的问题，指 出了带式输送机智能化关键技术的发展趋势。首先，概括介绍带式输送机智能化的发展历程，重点 阐述不同承载方式的带式输送机的技术特点及对智能化发展的技术要求；然后，以托辊式带式输送 机为对象，分别介绍带式输送机节能运行技术、煤流量感知技术、健康状态监测技术和安全保障技 术等智能化关键技术的研究现状，梳理了计算机视觉、大数据分析、智能控制与决策等技术在工程 中的应用情况，对存在的问题及未来发展趋势进行讨论；最后，结合对国内外相关技术研究成果的 分析，从智能化监测与控制研究的角度出发，指出了带式输送机变频节能控制、非接触式煤流智能 感知、基于多源信息融合的透明输送和虚拟现实等智能化关键技术的研究方向。

As the key equipment of the coal transportation system, the intelligence of the belt conveyor is crucial to the safe and efficient transportation of coal mines. And it is of great significance to improve the safety level of coal mines and ensure a stable supply of coal. Driven by the new technological revolution, the field of belt conveyor intelligence is in the stage of accelerated development. Key intelligent  technologies  such  as  information  system  platforms,  intelligent  control,  measurement  and  sensing  have  made  continuous  progress, showing a trend of multi-point breakthroughs and all-around development. However, the relevant technologies are mostly applied experimentally in coal mining enterprises and have not been widely promoted. This paper reviews the research and development trend of key technologies for intelligent belt conveyors in recent years and summarizes the problems encountered in engineering applications. First, the authors give an overview of the development of belt conveyor intellectualization, focusing on the technical characteristics of belt conveyors with different carrying types and the technical requirements for intelligent development. Then, the key technical problems that need to be solved for idler belt conveyor intelligence are pointed out. The current research status of four key directions, such as energy saving technology of belt conveyors, coal flow sensing technology, health status monitoring technology, and safety assurance technology, is introduced. The article analyzes the application of computer vision, big data analysis, intelligent control, and decision-making technologies in engineering, and discusses the existing problems and future development trends. Finally, the development suggestions for belt conveyorsare proposed  from  the  perspective  of  intelligent  monitoring  and  control  research,  combined  with  the  analysis  of  related  technology  research results at home and abroad. The future research directions of intelligent key technologies such as non-contact coal flow intelligent sensing of belt conveyors, transparent conveying based on multi-source information fusion, frequency conversion and energy-saving control, and virtual reality are discussed.