智能化是煤矿发展的方向，而智能视频分析是促进煤矿智能化的有效途径。全矿井智能视频分析技术具有实时监控、预警和决策支持能力，有助于提高矿山企业的安全性、生产效率、资源利用效率和环境可持续性。详细介绍了全矿井智能视频分析的关键技术，包括视频采集设备、视频预处理、视频压缩与编码等视频采集与处理技术，目标检测与跟踪、运动检测与分析、物体识别与分类等视频分析基础技术，行为识别与分析、事件检测与警报、视频监控与布防等高级视频分析技术。研发了集成视频识别分析和工业联动控制功能的矿山智脑AI视觉智能服务平台，介绍了智能视频分析技术在智能探放水系统和探放瓦斯系统、煤岩识别与截割系统、掘进工作面、综采工作面、煤流运输系统、矿井提升机系统、辅助运输系统、选煤厂、智能化装车配煤系统等矿井生产场景中的应用。分析指出目前全矿井智能视频分析技术在视频质量、复杂背景、实时性要求、数据隐私和安全、系统可靠性与稳定性等方面仍面临挑战。建议未来加强算法提升和优化、多模态数据融合、实时分析和边缘计算、强化学习和自主决策、数据隐私和安全保护、硬件设备和传感器技术等方面的研究，以全面推动全矿井智能视频分析技术的发展，促进矿山智能化进程。

Intelligence is the direction of coal mine development, and intelligent video analysis is an effective way to promote coal mine intelligence. The mine-wide intelligent video analysis technology has real-time monitoring, early warning, and decision support capabilities. It helps to improve the safety, production efficiency, resource utilization efficiency, and environmental sustainability of mining enterprises. The key technologies of mine-wide intelligent video analysis are introduced in detail, including video acquisition and processing technologies such as video acquisition equipment, video pre-processing, video compression and coding, basic video analysis technologies such as object detection and tracking, motion detection and analysis, object recognition and classification, and advanced video analysis technologies such as behaviour recognition and analysis, event detection and alarm, video monitoring and arming. A mining intelligent AI visual intelligence service platform that integrates video recognition analysis and industrial linkage control functions is developed. The paper introduces the application of intelligent video analysis technology in mining production scenarios such as intelligent water and gas exploration and discharge systems, coal rock recognition and cutting systems, heading working faces, fully mechanized working faces, coal flow transportation systems, mine hoist systems, auxiliary transportation systems, coal preparation plants, and intelligent loading and coal blending systems. The analysis points out that the current mine-wide intelligent video analysis technology still faces challenges in terms of video quality, complex backgrounds, real-time requirements, data privacy and security, system reliability and stability, etc. It is suggested to strengthen the research on algorithm improvement and optimization, multimodal data fusion, real-time analysis and edge computing, enhanced learning and independent decision-making, data privacy and security protection, hardware equipment and sensor technology in the future. Therefore, the development of mine-wide intelligent video analysis technology is comprehensively promoted and promote the process of mine intelligence is promoted.