Chinese core journals in science and technology
Chemical Abstracts Service (CAS) database
EBSCO Academic Database in the United States
Japan Science and Technology Agency Database (JST)
Wu Hongmei¹, Hu Yiduo¹, Lin Anchuan¹, Cai Zhengpeng²
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.