针对矿山浮选工艺过程中的浮选泡沫质量判断、浮选工艺调整依赖人工实时监控及操作人员的经验和手动操作，其效率和精确度都不高的问题，研发了一套真正能够长期投入使用，为生成指标稳定提高带来实质性帮助的浮选智能化系统，助力矿山建设成为国内一流的磨矿浮选智能化协调控制现场，在选矿过程控制上与国际接轨。该浮选智能化系统采用泡沫影像系统对矿山浮选工艺的泡沫质量数据进行图像识别分析并量化、建立浮选专家系统模型进行综合分析，研发矿山浮选进气精细化控制系统。介绍了系统的架构设计、系统功能等。智能控制实现了矿山浮选数据实时监测、交互和精细化控制，提升了矿山企业工作效率和产品回收率，加快了智能化矿山建设，为矿山浮选智能化建设提供参考。

In response to the problems in flotation operations where froth quality assessment and process adjust⁃ments still rely heavily on manual real⁃time monitoring and operator experience, resulting in low efficiency and accuracy,this study develops an intelligent flotation control system for mines. The system is designed to be robust for long⁃termdeployment and capable of delivering substantial improvements in product quality and stability. It aims to transformflotation operations into a domestically leading, intelligent grinding-flotation coordinated control site that alignswith international standards. The intelligent flotation control system utilizes a froth imaging system to capture flotationfroth data, which are analyzed and quantified through image recognition. A Flotation Expert System model is then estab⁃lished for integrated analysis. Mine flotation refined air inflow control system is developed. The paper presents thesystem's architecture and functions. The intelligent control enables real⁃time monitoring, interaction, and precisioncontrol of flotation data, enhancing operational efficiency and recovery rates in mineral processing, accelerating theconstruction of intelligent mines, and providing a valuable reference for intelligent flotation system development in miningenterprises.