Abstract：Along with the increasing popularity of artificial intelligence in various areas, the application of intelligentized technology in every step of metallurgical production is also increasingly extensive and in-depth. In recent 20 years, the application techniques in terms of quality inspection for iron ores have been developed from mathematical statistics to chemometrics, and then to artificial intelligence. The experts always attempt to get efficiency from new technologies, and put forward the newly developed artificial intelligetized technology to application in iron ore mining, ore preparation, transportation, quality inspection, furnace charge preparation and quality control, automation production, on-line detection in ironmaking, making the quality controls of iron ore to follow modern science tightly all the times. The development of intelligent technology and its application, development, and tendency of iron ore quality controls in China were introduced. Total 65 reference were cited.
应海松, 李宇璐, 陈贺海, 王群威, 袁丽凤, 王晓娟, 谭曜. 智能化技术在铁矿品质检验应用及其发展[J]. 冶金分析, 2021, 41(12): 27-38.
YING Haisong, LI Yulu, CHEN Hehai, WANG Qunwei, YUAN Lifeng, WANG Xiaojuan, TAN Yao. Development and application of intelligentized technology for quality inspection in iron ores. , 2021, 41(12): 27-38.
[1] Stuart Russell,Peter Norvig.Artificial Intelligence[M].[S.l.]: Prentice Hall,2010:14-24. [2] 王玉香,王赫男.铁矿石的X-射线荧光光谱分析[J].鞍山钢铁学院学报,1992(4):19-23. WANG Yuxiang,WANG Henan.XRF spectrum analysis of Fe ore[J].Journal of Anshan Institute of Iron and Steel Technology,1992(4):19-23. [3] 林忠,蒋晓光,李卫刚,等.波长色散X射线荧光光谱法测定铁矿石中铁硅钙铝磷镁锰钛[J].理化检验(化学分册),2003,39(40):207-208,211. LIN Zhong,JIANG Xiaoguang,LI Weigang,et al. XRFS determination of Fe Si Ca Al P Mg Mn and Ti in iron ores[J].Physical Testing and Chemical Analysis (Part B: Chemical Analysis),2003,39(4):207-208,211. [4] 边荣春,韩玉珍,王仕昌,等. 济宁市翟村铁矿小体重值与磁性铁品位的回归分析[J].山东国土资源,2014(5):57-58,64. BIAN Rongchun,HAN Yuzhen,WANG Shichang,et al.Regression analysis on small iron weight value and magnetic iron grade of Zhaicun iron deposit in Jining city[J].Shandong Land and Resources,2014(5):57-58, 64. [5] 崔双平,牛石柱.尖山铁矿磁性铁品位的回归预测模型 [J].金属矿山,1996(11):48. CUI Shuangping,NIU Shizhu.Regression forecast model of quality of magnetite in Jianshan mine[J].Metal Mine,1996(11):48. [6] 闵厚禄,徐伯骏,季翱,等.程潮铁矿矿石微量元素因子分析[J].金属矿山,2008(9):93-96. MIN Houlu,XU Bojun,JI Ao,et al.Factor analysis of trace elements of Chengchao iron ore[J]. Metal Mine,2008(9):93-96. [7] 纪雷,林雨霏,孙健,等.我国进口铁矿石有害元素含量代表值估计及整体特征分析[J].分析试验室,2007(6):58-61. JI Lei,LIN Yufei,SUN Jian,et al.Study on the standing value estimation and content characteristics for detrimental elements of imported iron ore to China[J].Chinese Journal of Analysis Laboratory,2007(6):58-61. [8] 朱霞萍,尹继先,陈卫东,等.微波消解ICP-OES快速测定难溶钒钛磁铁矿中铁、钛、钒[J].光谱学与光谱分析,2010(8):2277-2280. ZHU Xiaping,YIN Jixian,CHEN Weidong,et al.Determination of Fe,Ti and V in vanadium and titanium magnetite by ICP-OES and microwave-assisted digestion[J].Spectroscopy and Spectral Analysis,2010(8):2277-2280. [9] 吴政宙,张军华.微波消化技术在铁矿石分析中的应用研究[J].冶金分析,2005,25(5):69-71. WU Zhengzhou,ZHANG Junhua.Research on application of microwave digesting technology in analysis of iron ore[J].Metallurgical Analysis,2005,25(5):69-71. [10] 张博,闵红,刘曙,等. X射线荧光光谱结合判别分析识别进口铁矿石产地及品牌[J].光谱学与光谱分析,2020(8):2640-2646. ZHANG Bo,MIN Hong,LIU Shu,et al.X-ray fluorescence spectroscopy combined with discriminant analysis to identify imported iron ore origin and brand[J].Spectroscopy and Spectral Analysis,2020(8):2640-2646. [11] 何群,王东,刘善军,等.基于可见光-近红外光谱特征的BIF铁矿原位测定方法[J].金属矿山,2018(12):140-145. HE Qun,WANG Dong,LIU Shanjun,et al.In-situ determination method of BIF iron ore based on visible and near-infrared spectrum[J].Metal Mine,2018(12):140-145. [12] 谢世文,谢永芳,阳春华,等.针铁矿法沉铁过程亚铁离子浓度预测[J].自动化学报, 2014(5):830-837. XIE Shiwen,XIE Yongfang,YANG Chunhua,et al.A ferrous iron concentration prediction model for the process of iron precipitation by goethite[J].Acta Automatica Sinica,2014(5):830-837. [13] 张丽军. X-荧光薄样法分析铁矿石中主次量元素[J].涟钢科技与管理,1999(5):17-18. ZHANG Lijun.Primary and secondary elements analysis of iron ores by X-ray fluorescence spectrometry[J].Liangang Science and Technology Management,1999(5):17-18. [14] 杜瑶,李茂刚,王萍,等.激光诱导击穿光谱技术结合自吸收修正和偏最小二乘法的铁矿石酸度分析[J].冶金分析,2020,40(12):105-111. DU Yao,LI Maogang,WANG Ping,et al.Acidity analysis of iron ore based on laser-induced breakdown spectroscopy coupled with self-absorption correction and partial least squares[J]. Metallurgical Analysis, 2020,40(12):105-111. [15] 李华昌,符斌.偏最小二乘及双波长K系数光度法同时测定矿物中钛、铁[J].分析试验室,1996(6):25-28. LI Huachang,FU Bin.Simultaneous spectrophotometric determination of titanium and iron in ores by partial least squares and dual-wavelength K factor methods[J].Chinese Journal of Analytical Laboratory, 1996(6):25-28. [16] 武素茹,谷松海,宋义,等.进口铁矿产地鉴别模型的建立[J].计算机与应用化学,2014(12):1543-1546. WU Suru,GU Songhai,SONG Yi,et al.Establishment of origin identification model of import iron ores[J].Computers and Applied Chemistry,2014(12):1543-1546. [17] 刘曙,张博,闵红,等. X射线荧光光谱结合判别分析识别铁矿石产地及品牌:应用拓展[J]. 光谱学与光谱分析,2021(1):285-291. LIU Shu,ZHANG Bo,MIN Hong,et al.X-ray fluorescence spectroscopy combined with discriminant analysis to identify imported iron ore origin and brand:application development[J].Spectroscopy and Spectral Analysis,2021(1):285-291. [18] 纪雷,孙健,林雨霏,等.自举法对我国进口铁矿二氧化硅含量的代表值估计[J].岩矿测试,2007(1):29-32. JI Lei,SUN Jian,LIN Yufei,et al.Estimation for representative values of SiO2 content in imported iron ores by bootstrap method[J].Rock and Mineral Analysis,2007(1):29-32. [19] 纪雷,孙健,林雨霏,等.进口铁矿砷量特征的内核密度分析与Bootstrap代表值估计[J].分析试验室,2007(1):12-16. JI Lei,SUN Jian,LIN Yufei,et al.Study on arsenic content by kernel density estimation and bootstrap method in imported iron ore[J].Chinese Journal of Analysis Laboratory,2007(1):12-16. [20] 蔡婧,李晨.休哈特单值-移动极差控制图与精密度试验方法在入境澳洲铁矿质量波动跟踪中的应用[J].化学分析计量,2006(2):46-49. CAI Jing,LI Chen.Application of Charlie control chart and precision test method on the fluctuation trace of entry australian iron quality[J].Chemical Analysis and Meterage,2006(2):46-49. [21] 杨雅雯,严承琳,徐鼎,等.激光诱导击穿光谱检测铁矿石应用进展[J].冶金分析,2020,40(12):14-20. YANG Yawen,YAN Chenglin,XU Ding,et al.Progress in the detection of iron ore by laser-induced breakdown spectroscopy[J].Metallurgical Analysis,2020,40(12):14-20. [22] 任春生,付冉冉,王艳,等. SPSS软件对铁矿中微量元素含量的统计分析[J].化学分析计量,2014(2):80-84,93. REN Chunsheng,FU Ranran,WANG Yan,et al.Statistical analysis of trace elements in iron ores by SPSS software[J].Chemical Analysis and Meterage,2014(2):80-84,93. [23]赵庆磊,王以宪.基于SPSS的正交试验在铁矿石检测中应用研究[J].中国检验检测, 2021(1):26-27. ZHAO Qinglei,WANG Yixian.Research on application of orthogonal test based on SPSS in iron ore detection[J].China Inspection Body & Laboratory,2021(1):26-27. [24] 陈颖娜,李雪莲,余春晖,等.神经网络在铁矿实验室安全状态评判中的应用[J].中国冶金,2016(10):80-85. CHEN Yingna,LI Xuelian,YU Chunhui,et al.Application of neural network in evaluation for safety status of iron ore laboratory[J].China Metallurgy,2016(10):80-85. [25] 应海松,李斐真,贺存君,等.基于BP网神经网络的铁矿取样品位波动的校核[J].计算机与应用化学,2012,(12):1499-1502. YING Haisong,LI Feizhen,HE Cunjun,et al.Experimental methods for evaluation of quality variation for iron ores with BP neural network[J].Computers and Applied Chemistry,2012(12):1499-1502. [26] 李哲,庹先国,穆克亮,等.矿样中钛铁EDXRF分析的基体效应和神经网络校正研究[J].核技术,2009(1):35-40. LI Zhe,TUO Xianguo,MU Keliang,et al.Matrix effect and ANN correcting technique in EDXRF analysis of Ti and Fe in core samples[J].Nuclear Techniques,2009(1):35-40. [27] 卢丹,王雪松.烧结矿FeO含量的合理控制与优化[J].安徽工业大学学报(自然科学版),2010(4):344-348. LU Dan,WANG Xuesong.Reasonable control and optimize of FeO content in sinter chemical composition[J].Journal of Anhui University of Technology(Natural Science),2010(4):344-348. [28] 张军红,沈峰满,谢安国.G-BP算法在烧结矿FeO指标预测中的应用[J].东北大学学报(自然科学版),2002(11):1073-1075. ZHANG Junhong,SHEN Fengman,XIE Anguo.The application of G-BP in FeO content prediction during sintering[J].Journal of Dongbei University of Technology(Natural Science),2002(11):1073-1075. [29] 肖专文,张奇志,赵文,等. 遗传算法与神经网络协同求解采矿工程中的优化问题 [J].中国矿业,1998(1):78-80 XIAO Zhuanwen,ZHANG Qizhi,ZHAO Wen,et al.Solving the optimal problems in mining engineering with a GA-ANN method[J].China Mining Magazine,1998(1):78-80. [30] 李颖娜,徐志彬,刘双龙.遗传神经网络-X射线荧光光谱法测定铁矿石中铅[J].冶金分析,2017,37(10):22-26. LI Yingna,XU Zhibin,LIU Shuanglong.Determination of lead and arsenic in iron ore by X-ray fluorescence spectrometry based on genetic neural network[J].Metallurgical Analysis,2017,37(10):22-26. [31] 陈希,周娜娜.遗传神经网络在铁矿石需求预测中的应用[J].天津科技大学学报,2010(6):67-70. CHEN Xi,ZHOU Nana.Application of genetic neural network in forecast of iron ore demand[J].Journal of Tianjin University of Science & Technology,2010(6):67-70. [32] 刘婷,诸克军,贺勇,等.截止品位与入选品位的遗传-神经优化模型[J].金属矿山,2010(2):26-29. LIU Ting,ZHU Kejun,HE Yong,et al.An integrating GA and ANN model for optimizing cut-off grade and grade of crude ore[J].Metal Mine,2010(2):26-29. [33] 郝全明,王立焕,王华.遗传神经网络在白云鄂博铁矿爆堆质量预测系统中的应用 [J].包头钢铁学院学报,2003(4):289-292,309. HAO Quanming,WANG Lihuan,WANG hua,et al.The application of genetic neural network of quality prediction system to blasting pile in Baiyunebo iron ore[J].Journal of Baotou University of Iron and Steel Technology,2003(4):289-292,309. [34] N.G.卡特莫尔,Y.利厄, A.G.米德尔顿,等.矿石在线鉴别及拣选[J].现代矿业,1999(12):1-3. N.G.Katmol,Y.leon,A.G.Midelton,et al.On line inspection and selection of iron ores[J].Modern Mining,1999(12):1-3. [35] 杨彦伟,张丽丽,郝晓剑,等.机器学习结合激光诱导击穿光谱技术铁矿石分类方法[J].红外与激光工程,2021(5):265-272. YANG Yanwei,ZHANG Lili,HAO Xiaojian,et al.Classification of iron ore based on machine learning and laser induced breakdown spectroscopy[J].Infrared and Laser Engineering,2021(5):265-272. [36] 贺勇,诸克军,胡承凡. 品位组合优化的粒子群-神经计算方法[J].系统管理学报,2010(2):204-209. HE Yong,ZHU Kejun,HU Chengfan.A method of integrating PSO and ANN for optimizing cut-off grade and grade of crude ore[J].Journal of Systems & Management,2010(2):204-209. [37] 曲钧天,丁进良.基于多层感知器神经网络的精矿品位预报[J].控制工程,2014(1):78-84. QU Juntian,DING Jinliang.Forecasting of concentrate grade based on multilayer perceptron neural network[J].Control Engineering of China,2014(1):78-84. [38] 赵德孝,柳小波,姜谙男,等.金山店铁矿入选品位动态优化数学模型建立[J].金属矿山,2004(4):8-10,77. ZHAO Dexiao,LIU Xiaobo,JIANG Annan,et al.Establishment of mathematical model for dynamic optimization of mill feed grade of Jinshandian iron mine[J].Metal Mine,2004(4):8-10,77. [39] 李颖娜,徐志彬.基于神经网络集成-X射线荧光光谱法的铁矿石中全铁含量测定[J].冶金分析,2019,39(1):35-41. LI Yingna,XU Zhibin.Determination of total iron in iron ore based on ensemble neural network-X-ray fluorescence spectrometry[J].Metallurgical Analysis,2019,39(1):35-41. [40] 鲁精兵.神经网络在赤铁矿含量预测中的应用[J].计算机与数字工程,2011(12):147-150. LU Jingbing.Neural network and its application for hematite content prediction[J].Computer & Digital Engineering,2011(12):147-150. [41] 赵路朋,吴铿,朱利,等.基于BP神经网络的烧结矿性能预报模型[J].钢铁,2017(9):11-15. ZHAO Lupeng,WU Keng,ZHU Li,et al.Prediction model of sinter properties based on BP neural network[J].Iron & Steel,2017(9):11-15. [42] 徐述腾,周永章.基于深度学习的镜下矿石矿物的智能识别实验研究[J].岩石学报,2018(11):3244-3252. XU Shuteng,ZHOU Yongzhang.Artificial intelligence identification of ore minerals under microscope based on deep learning algorithm[J].Acta Petrologica Sinica,2018(11):3244-3252. [43] 刘昶,许梦国,王平,等. 基于智能算法的经济合理放矿截止品位与入选品位[J].矿业研究与开发,2017(6):39-43. LIU Chang,XU Mengguo,WANG Ping,et al.Economic and rational cut-off grade and ore dressing grade based on intelligent algorithm[J].Mining Research and Development,2017(6):39-43. [44] 应海松,张建波,李斐真.连续小波变换-X射线荧光光谱定量分析铁矿石中二价铁[J].冶金分析,2019,39(10):8-13. YING Haisong,ZHANG Jianbo,LI Feizhen.Quantitative analysis of ferrous iron in iron ores by X-ray fluorescence spectrometry with continuous wavelet transform[J].Metallurgical Analysis,2019,39(10):8-13. [45] 陈颖娜,应海松,王于鹤,等.小波变换在铁矿热重矿物分析曲线处理的应用[J].冶金分析,2016,36(10):30-33. CHEN Yingna,YING Haisong,WANG Yuhe,et al.Application of wavelet transform in curve processing for thermo-gravimetric analysis of iron ore[J].Metallurgical Analysis,2016,36(10):30-33. [46] 孔智灵,张新磊,王蒙,等.基于小波变换的铁矿石品位X荧光在线检测方法研究[J].光谱学与光谱分析,2016(1):415-416. KONG Zhiling,ZHANG Xinlei,WANG Meng,et al.Online analysis of iron ore grade using X-ray fluorescence spectrometry based on wavelet transform[J].Spectroscopy and Spectral Analysis,2016(1):415-416. [47] 应海松,李斐真,张建波,等.小波变换和神经网络的X射线衍射波谱滤噪技术比较[J].冶金分析,2011,31(10):18-20. YING Haisong,LI Feizhen,ZHANG Jianbo,et al.Comparison of technology of noise-filtering with X-ray diffraction spectrum by wavelet transform and neural network[J].Metallurgical Analysis,2011,31(10):18-20. [48] 应海松,王于鹤,陈颖娜,等.小波时间序列分析在铁矿品位波动预测中的应用[J].矿冶工程,2017(1):96-99,102. YING Haisong,WANG Yuhe,CHEN Yingna,et al.Application of wavelet analysis of time series in prediction of iron ore grade variation[J].Mining and Metallurgical Engineering,2017(1):96-99,102. [49] 应海松,陈贺海,李斐真.小波变换在铁矿石中非铁矿类物质分析的应用[J].钢铁研究学报,2011(8):59-62. YING Haisong,CHEN Hehai,LI Feizhen.Application of minerals phases analysis for non-iron ore′s materials in iron ores using of wavelet analysis[J].Journal of Iron and Steel Research,2011(8):59-62. [50] 杨东彪,王振新,应海松,等.小波分析在铁矿石交货批在线粒度结果偏析的研究[J].大众科技,2016(2):39-41. YANG Dongbiao,WANG Zhenxin,YING Haisong,et al.Study of result 's segregation of determination on line of size for iron ore of a lot with wavelet analysis[J].Popular Science & Technology,2016(2):39-41. [51] 肖伸平,吴敏,刘代飞. 基于小波神经网络的高炉铁水含硅预报[J].有色金属,2005(2):106-110. XIAO Shenping,WU Min,LIU Daifei.Prediction of Si content in hot metal based on wavelet neural network[J].Nonferrous Metals,2005(2):106-110. [52] 张慧书,陈韧,战东平,等.基于联级小波神经网络的LF精炼渣成分预报[J].上海金属,2019(4):80-83. ZHANG Huishu,CHEN Ren,ZHAN Dongping,et al.Prediction of LF refining slag composition based on combined wavelet neural network[J].Shanghai Metals,2019(4):80-83. [53] 王艳,应海松,廖海平.小波变换在自动电位滴定仪测定铁矿石中铁含量的应用[J].理化检验(化学分册),2007(12):1035-1037. WANG Yan,YING Haisong,LIAO Haiping.Application of wavelet transformation to determination of end point in potentiometric titration of iron in iron ore[J].Physical Testing and Chemical Analysis (Part B: Chemical Analysis),2007(12):1035-1037. [54] 应海松,李斐真.基于小波和神经网络的聚类分析判断进口铁矿石检验的差错及其预防[J].现代矿业,2010(3):59-62. YING Haisong,LI Feizhen.Judgment and precaution of the mistake of inspection of imported iron ore using of cluster analysis which base on wavelet and neural network[J].Modern Mining,2010(3):59-62. [55] 唐艳云,代梦博,春铁军,等.成分在线检测技术进展及其在铁矿烧结应用趋势[J].烧结球团,2021(3):1-8,58. TANG Yanyun,DAI Mengbo,CHUN Tiejun,et al.Development of online composition detection technology and its application tendency in iron ore sintering[J].Sintering and Pelletizing,2021(3):1-8,58. [56] 温利刚,贾木欣,王清,等.自动矿物学新技术——BPMA技术及在煤中的应用[J].中国煤炭地质,2019(9):8-17. WEN Ligang,JIA Muxin,WANG Qing,et al.A new technique in automated process mineralogy: BPMA technology and its application in coal research[J].Coal Geology of China,2019(9):8-17. [57] 李宗营,钟卫兵.梅山铁矿铁品位实时监测系统及应用[J].现代矿业,2019(12):166-169. LI Zongying,ZHONG Weibing.Real-time monitoring system and its application for iron grade in Meishan iron mine[J].Modern Mining,2019(12):166-169. [58] 朱琦.铁矿石品位在线检测生产系统的研究和应用[J].工业计量,2010(5):25-28. ZHU Qi.Research and application of on-line measuring system for grade of iron ore[J].Industrial Measurement,2010(5):25-28. [59] 徐道常.在选矿中超声波粒度仪的应用思考[J].科技资讯,2018(33):74,76. XU Daochang.Study of application of supersonic particle size meter in ore dressing[J].Science and Technology Information,2018(33):74,76. [60] 高伟,杨可明,李孟倩,等.铁矿粉中全铁含量的SFIM-RFR高光谱预测模型[J].光谱学与光谱分析,2020(8):2546-2551. GAO Wei,YANG Keming,LI Mengqian,et al.Hyperspectral SFIM-RFR model on predicting the total iron contents of iron ore powders[J].Spectroscopy and Spectral Analysis,2020(8):2546-2551. [61] 王岳,毛亚纯,吴祥宇.基于近红外光谱和支持向量机的露天采场铁矿类型识别方法探究[J].矿山测量,2008(1):22-25. WANG Yue,MAO Yachun,WU Xiangyu.Research on the recognition method of iron mine type in open-pit based on near infrared spectroscopy and support vector machine[J].Mine Surveying,2008(1):22-25. [62] 黄运生,董克冰,陈学.铁矿石还原测定系统温度控制算法研究[J].计算机测量与控制,2007(7):896-898. HUANG Yunsheng,DONG Kebing,CHEN Xue.Research on temperature control arithmetic of iron ore reducibility mensuration system[J].Computer Measurement & Control,2007(7):896-898. [63] 孙丽媛,杨鸿玉,王汝梅.图像形状匹配及特征识别在铁矿石熔点检测中的应用研究[J].工业控制计算机,2010(6):31-32. SUN Liyuan,YANG Hongyu,WANG Rumei.Shape matching and feature recognition of image in melting point detection of iron ore[J].Industrial Control Computer,2010(6):31-32. [64] 王文生,管嵩,刘冲伟.浅议大数据在进口铁矿煤炭检验中的应用[J].智能城市,2019(15):197-198. WANG Wensheng,GUAN Song,LIU Chongwei.Application of inspection in import iron ores and coal by big data[J].Intelligent City,2019(15):197-198. [65] 王振新,余春晖,李雪莲,等.进口铁矿品质信息数据仓建设及其数据挖掘[J].大众科技,2015(11):20-23. WANG Zhenxin,YU Chunhui,LI Xuelian,et al.Construction of data warehouse and data mining for import iron ore quality information[J].Popular Science & Technology,2015(11):20-23.
