College of Chemistry and Chemical Engineering, Xi’an University of Science and Technology
Kailuan (Group) Co. , Ltd.
College of Mining Engineering, Taiyuan University of Technology

近几年,随着相关政策的出台以及传统产业数字化转型,我国智能矿山建设步伐明显加快。由于其特殊性,智能浮选是矿物加工智能化中的难点。文章从选煤和选矿两个维度,按照智能控制程度对现有浮选技术进行梳理,重点阐述了当前智能浮选核心感知技术,并列举了工业应用实例。分析认为,围绕智能浮选的研究集中在智能感知技术和智能决策系统的开发。工业应用表明,智能浮选可实现相关操作参数的自动控制,可在一定程度上稳定产率和产品指标。但整体建设仍处在初级阶段,有关智能浮选技术的感知精度、时效性、抗干扰性、环境适用性等方面仍有较大提升空间,新型高精度矿浆品位(灰分)测量技术亟待开发。受限于智能感知技术的精度,大规模推广应用仍有待进一步发展。

Recently, with the introduction of relevant policies and the digital transformation of traditional industries, the pace of intelligent mine construction in China has accelerated significantly. Due to its specificity, intelligent flotation is a difficult point in mineral processing intelligence. We classified the techniques according to the degree of intelligent control, systematically comb through the definition and composition of intelligent flotation system, key sensing technologies, and enumerates some application examples. Analyzed the research around intelligent flotation focuses on the development of intelligent perception technology and intelligent decision - making system. The current industrial application shows that intelligent flotation can realize automatic control of relevant operating parameters, stabilize yield and product indexes to some extent. However, the overall construction is still in the primary stage, there is still much room for improvement in the perception accuracy, timeliness, anti - interference, environmental applicability and other aspects of intelligent flotation technology. New high-precision slurry grade (ash) measurement technology needs to be developed. Limited by the precision of intelligent sensing technologies, the relevant industries are expected to flourish in the future.

陕西省自然科学基础研究计划(2024JC-YBMS-335);国家自然科学基金项目(52104260)

于跃先,刘帆,石伟,等.我国智能浮选核心感知技术研究与应用进展[J].煤炭工程,2025,57(1):8-17.