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浮选流体动力学大数据关键技术、装备研究及其工程应用

Key technologies,equipment research and engineering applications of flotation fluid dynamics big data
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摘要 近年来随着工业4.0技术和设备的发展,有色金属工业应用发生了许多重大的变化。其中大数据、人工智能、云计算、移动互联等现代信息技术与矿业加工领域深度融合,加速融合智能勘探、智能矿山、矿业物联网等新技术手段成为推动矿业领域加速发展的显著特征之一。顺应行业领域发展趋势,近期由昆明冶金研究院、智铜科技联合研发成型的新一代浮选流体动力学特征阈值传感器系统,通过多维度测量浮选设备以及浮选回路的核心参数,对采集到的数据进行建模分析,形成优化方案并生成自动化操作指令,能够推动选矿技术经济指标实现优化提升,有效填补国内矿业领域此类设备研发的技术空白,为有色金属矿山行业打造新型高效低碳节约型模式提供新的方向。 In recent years,with the development of Industry 4.0 technology and equipment,there have been many significant changes in the application of non-ferrous metal industry.The deep integration of modern information technologies such as big data,artificial intelligence,cloud computing and mobile internet with the mining processing field has become one of the significant features promoting the accelerated development of the mining industry,by accelerating the integration of new technologies such as intelligent exploration,intelligent mining and the Internet of Things in mining.In line with the development trend of the industry,a new generation of flotation fluid dynamics characteristic threshold sensor system has been jointly developed and formed by Kunming Metallurgical Research Institute and Chinalco Intelligent Tongchuang Technology recently.Through multi-dimensional measurement of core parameters for flotation equipment and flotation circuit,the collected data is modeled and analyzed to form optimization plans and generate automated operation instructions,which can promote the optimization and improvement of beneficiation techno-economic indicators,thus effectively filling the technological gap in the research and development of such equipment in the domestic mining industry,and providing new directions for the non-ferrous metal mining industry to create a new type highly-efficient,low-carbon and energy-saving model.
作者 李海斌 谭志勇 管孝强 周仕庆 李腾飞 王超 张炜 Li Haibin;Tan Zhiyong;Guan Xiaoqiang;Zhou Shiqing;Li Tengfei;Wang Chao;and Zhang Wei(Chinalco Research Institute of Science and Technology Co.,Ltd.,Beijing 102209,China;Kunming Metallurgical Research Institute Co.,Ltd.,Beijing Branch,Beijing 102209,China;Chinalco Intelligent Tongchuang Technology(Yunnan)Co.,Ltd.,Kunming 650051,China;Yunnan Copper Industry Co.,Ltd.,Kunming 650051,China)
出处 《轻金属》 北大核心 2023年第9期5-7,37,共4页 Light Metals
关键词 AI选矿 工业4.0 检测仪表 中央控制室系统 大数据智能化仪器 AI beneficiation Industry 4.0 detection instruments central control room systems big data intelligent instruments
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