矿石堆场品位模型构建及取料品位估算方法

doi:10.11872/j.issn.1005-2518.2021.02.140

Abstract

Abstract:

Ore yard is an indispensable part of most mines，and the precisely controll of its grade spatial distribution is the foundation of follow-up processes.The development and application of surveying technology provided technical guidance to the surveying and modeling of ore yard.Domestic and foreign scholars applied GPS RTK，3D laser scanning，GPR integration and unmanned aerial vehicle tilt photogrammetry to 3D modeling of ore yard. At the same time，grade distribution in ore body，production region and blasting muck yard was researched richly. But few scholars pay attention to grade distribution in ore yard，for the lacking of sample information to support the research of the spatial grade analysis of ore yard. The deeply application of grade on-line analyzer in mine production detection provided data sources for the modeling of ore yard’s grade model. Combined with the detecting real-time value of grade on-line analyzer，method of grade model constructing was proposed. 3D ore yard model was discretized. Ore yard was discretized as sub-segment in the length direction，and as sub-level in the cross section. Secondly，according to the spatial distance and ore flow velocity，the time gap between different locations when ore flow passed was calculated.Finally，turn the serialized data into 3D model of ore yard based on the time gap of ore flow. Then quantity and grade of each sub-segment and sub-level was analyzed. Based on 3D ore yard grade model，grade distribution was analyzed on the reclaimer’s working surface with the location and angle of claw.As the result，real-time grade was predicted. In order to verify the accuracy of ore yard grade model and reclaiming grade predicting method，grade data of MgO was contrasted between 4 shifts.Used hourly sampling test value as baseline，mean value and predictive value were contrasted. When used mean value as the reclaiming grade，the maximal hourly gap in 4 shifts is 13.87%，17.04%，15.65% and 12.54% respectively，and maximal shift average gap is 5.66%，9.41%，7.76% and 6.63% respectively. Meanwhile，when used predictive value as the reclaiming grade，the maximal hourly gap in 4 shifts is 2.93%，3.44%，3.50% and 3.16% respectively，and maximal shift average gap is 1.88%，1.98%，1.83% and 1.73% respectively. Contrastive analysis between mean value，test value and predictive value show that hourly gap is lower than 3.5%，and shift average gap is lower than 2%. The ore yard grade modeling and reclaiming grade predicting method is accurate and real-time，which improves the effect of grade control in mine.

Key words: ore yard, grade model, model discretization, grade on-line analyzer, dynamic prediction, re-claiming grade estimation

CLC Number:

TD672

Xin CHEN,Liguan WANG,Jinling LI. Grade Model Constructing and Reclaiming Grade Predicting of Ore Yard[J].Gold Science and Technology, 2021, 29(2): 287-295.

Figures/Tables 7

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

References 0

	Bi Lin，Zhao Hui，Jia Mingtao，2016.Database-oriented storage based on LMDB and linear octree for massive block model ［J］.Transactions of Nonferrous Metals Society of China，26（9）：2462-2468.
	Chen Guoli，2009.Study on the Ore Grade Dynamic Detection and Quality Control System of Zhongjia Mining Group［D］.Xi’an：Xi’an University of Architecture and Technology.
	Chen Xin，Wang Liguan，2016.3D laser equidistant scanning method from single station and efficient modeling algorithm for mine goaf［J］.Journal of China University of Mining and Technology，45（4）：836-842.
	Cheng Ming，2016.Control System Design for Stacker and Reclaimer of Circular Stackyard［D］.Dalian：Dalian Jiaotong University.
	Duan Ping，Li Jia，Li Haikun，al et，2020.3D modeling method of UAV image point cloud and ground laser point cloud registration［J］.Engineering of Surveying and Mapping，29（4）：44-47.
	Huang J X，Wang L G，Xiong S M，al et，2012.Circle geometric constraint model for open-pit mine ore-matching and its applications［J］.Journal of Central South University of Technology，19（9）：2598-2603.
	Jiao Pinren，2018.Research on Automatic Operation System for a Bucket Wheel Stacker and Reclaimer［D］.Dalian：Dalian University of Technology.
	Jin B X，Fang Y M，Song W W，2011.3D visualization model and keytechniques for digital mine［J］.Transactions of Non-ferrous Metals Society of China，21（Supp.3）：748-752.
	Ke Lihua，He Yangyang，Zhang Guangquan，al et，2018.Optimization of the grade estimation parameters of inverse distance weighting method of Wulongquan mine［J］.Metal Mi-ne，47（7）：147-151.
	Kong Xiangyuan，Zou Jingui，Xu Yaming，al et，2003.Application study of the technologies of GPS-RTK and combined GPS-RTK and GPR in surveying and calculating mineral resources for large enterprises［J］.Site Investigation Science and Technology，1：46-48.
	Kuma H，Fukuoka H，Komatsu M，2020.A quantitative analysis of mine mills by 3D laser scanner［J］.Materials Science Forum，983：73-80.
	Li Lin，2019.Design and Implementation of Automatic Control System for Stacker［D］.Dalian：Dalian Maritime University.
	Liu Bo，2019.Research and Application of Three-dimensional Reconstruction Algorithm for Material Pile in Digital Coal Yard［D］.Beijing：North China Electric Power University.
	Liu Zhanning，Song Yuchen，Meng Haidong，al et，2018.The influences of block size and estimation methods on the valuation of ore grade［J］.Mining Research and Development，38（6）：89-93.
	Luo Yao，Mo Wenbo，Yan Zike，2020.Research on fusion technology of tile photogrammetry and BIM 3D modeling［J］.Journal of Geomatics，（4）：40-45.
	Paul S，Dan M，Gareth M，al et，2019.Estimating habitat extent and carbon loss from an eroded northern blanket bog using UAV derived imagery and topography［J］.Progress in Phy-sical Geography，43（2）：282-298.
	Ruan Guoqiang，2019.Research and Implementation of Control System for Stacker Reclaimer at Ore Terminal［D］.Tangshan：North China University of Science and Technology.
	Samaniego F，Sanchis J，Garcia-Nieto S，al et，2019.Smooth 3D path planning by means of multiobjective optimization for fixed-wing UAVs［J］.Electronics，9（1）：174-192..
	Singh R，Khurana A，Kumar S，2020.Optimized 3D laser point cloud reconstruction by gradient descent technique［J］.The Industrial Robot，47（3）：409-421..
	Tan Jinshi，Su Yunzhong，Zu Weiguo，2020.Application of multi-rotor UAV in surveying of open-pit mining area ［J］.Mine Surveying，48（3）：101-104，109.
	Tan Qiren，Dong Wenming，Bi Lin，al et，2019.Study on optimization of grade estimation method of muckpile in open-pit uranium mine［J］.Gold Science and Technology，27（4）：573-580.
	Tu Hongjian，Wang Liguan，Chen Xin，al et，2019.Ore grade control blending in open-pit mine based on mixed integer programming［J］.Gold Science and Technology，27（3）：458-465.
	Wang Liguan，Song Huaqiang，Bi Lin，al et，2017.Optimization of open pit multielement ore blending based on goal programming［J］.Journal of Northeastern University（Natural Science），38（7）：1031-1036.
	Wang Zhiming，Xu Yaming，Wang Zhiliang，al et，2003.Application of GPS RTK technique to the volume surveying of mineral material in Wuhan steel and iron company［J］.Journal of Geomatics，28（1）：13-14.
	Zhang Bowen，Su Zhiqi，Yang Liubin，al et，2020.Volume calculation of material pile based on the 3D reconstruction of monocular multi-view［J］.Sintering and Pelletizing，45（3）：44-48.
	Zhou Hongjun，Chen Shujun，Lin Hongzheng，al et，2015.Application of X-ray fluorescence on-line analyzer in Luming concentrator［J］.Nonferrous Metals Engineering & Resea-rch，36（3）：45-47.
	Zhou Kun，Zhang Weiming，Zhu Qiufei，2020.Intelligent mine infrastructure construction on-line detection with fluorescence analyzer［J］.Copper Engineering，（1）：99-100，104.
	Zhou Xiaowei，Du Kun，Tan Qifeng，al et，2020.Application of 3D laser scanner in the superficial area of irregular objects［J］.Mine Surveying，48（3）：17-19，32.
	毕林，赵辉，贾明涛，2016.面向数据库特征的基于LMDB与线性八叉树海量块段模型存储技术［J］.有色金属学报，26（9）：2462-2468.
	陈国利，2009.中加矿业公司矿石品位动态检测及质量控制系统试验研究［D］.西安：西安建筑科技大学.
	陈鑫，王李管，2016.采空区单站激光等距扫描与高效三维重建方法［J］.中国矿业大学学报，45（4）：836-842.
	程明，2016.圆形料场堆取料机控制系统的设计［D］.大连：大连交通大学.
	段平，李佳，李海昆，等，2020.无人机影像点云与地面激光点云配准的三维建模方法［J］.测绘工程，29（4）：44-47.
	矫品仁，2018.斗轮堆取料机自动化作业系统的研究［D］.大连：大连理工大学.
	柯丽华，何扬扬，张光权，等，2018.乌龙泉矿距离幂次反比法品位估值参数优化［J］.金属矿山，47（7）：147-151.
	孔祥元，邹进贵，徐亚明，等，2003.GPS-RTK及其同地质雷达GPR集成技术用于大型企业矿料资产测算的研究［J］.勘察科学技术，1：46-48.
	李林，2019.堆料机自动控制系统设计与实现［D］.大连：大连海事大学.
	刘波，2019.数字化煤场的料堆三维重建算法研究与应用［D］.北京：华北电力大学.
	刘占宁，宋宇辰，孟海东，等，2018.块体尺寸和估值方法对矿石品位估值的影响［J］.矿业研究与开发，38（6）：89-93.
	罗瑶，莫文波，颜紫科，2020.倾斜摄影测量与BIM三维建模集成技术的研究与应用［J］.测绘地理信息，（4）：40-45.
	阮国强，2019.矿石码头堆取料机控制系统的研究与实现［D］.唐山：华北理工大学.
	谭金石，速云中，祖为国，2020.多旋翼无人机在露天矿区测绘中的应用［J］.矿山测量，48（3）：101-104，109.
	谭期仁，董文明，毕林，等，2019.露天铀矿山爆区品位估算方法优选研究［J］.黄金科学技术，27（4）：573-580.
	涂鸿渐，王李管，陈鑫，等，2019.基于混合整数规划法的露天矿配矿品位控制［J］.黄金科学技术，27（3）：458-465.
	汪志明，徐亚明，汪志良，等，2003.GPS RTK技术在武钢堆料场矿料体积测量中的应用［J］.测绘信息与工程，28（1）：13-14.
	王李管，宋华强，毕林，等，2017.基于目标规划的露天矿多元素配矿优化［J］.东北大学学报（自然科学版），38（7）：1031-1036.
	张博文，苏志祁，杨柳斌，等，2020.基于单目多视图三维重建方法的料堆体积测算［J］.烧结球团，45（3）：44-48.
	周洪军，陈树军，林洪征，等，2015.X荧光在线品位分析仪在鹿鸣选矿厂中的应用［J］.有色冶金设计与研究，36（3）：45-47.
	周坤，张伟明，朱秋飞，2020.智能化矿山基础建设—荧光分析仪在线检测［J］.铜业工程，（1）：99-100，104.
	周晓卫，杜琨，谭奇峰，等，2020.三维激光扫描仪在不规则实体表面积计算中的应用［J］.矿山测量，48（3）：17-19，32.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Grade Model Constructing and Reclaiming Grade Predicting of Ore Yard

RichHTML

PDF (PC)

Abstract

Cite this article

share this article

Figures/Tables 7

References 0

Related Articles 1

Metrics

Comments

Recommended 0