Gold Science and Technology
img

Wechat

Adv. Search
Online Submission Peer Review Office Work

Gold Science and Technology ›› 2016, Vol. 24 ›› Issue (1): 80-85.doi: 10.11872/j.issn.1005-2518.2016.01.080

Previous Articles     Next Articles

Oredraw Scheme Optimization of Block Caving Based on Ore Resource Value Model Under 3D Platform

ZHU Zhonghua1，WANG Liguan1，TAN Zhenghua2，CHEN Jianhong1   

  1. 1.School of Resources and Safety Engineering，Central South University，Changsha    410083，Hunan，China；
    2.The College of Information Engineering of Xiangtan University，Xiangtan    411105，Hunan，China
  • Received:2015-05-05 Revised:2015-07-13 Online:2016-02-29 Published:2016-04-05

PDF (PC)

756

Abstract:

The purpose of this paper is to take oredraw scheme optimization scientifically and reasonably.A new optimization method of oredraw design scheme under 3D platform was proposed based on resource value model.Mine geological model and engineering model were established  and oredraw level was determined under 3D platform according to original data of mine，and then drawpoints were assigned on the oredraw level automatically.Geological block model and draw slice model were established to obtain drawpoints grade distribution with geostatistics method based on previous study of flow law of ore and rock.Oredraw resource value model which contains basic parameters of market price，mine cost and mining dilution and loss index was established to calculate value and benefit of every draw slice，and then to calculate best draw height，cut-off grade and tonnage of every drawpoint under different technical and economic conditions，so as to determine the optimized oredraw scheme，which ensures the maximization of economic benefits and the maximization recovery rate of resources of mine.The method was implemented using VC++ programming language and hoops visualization tool box.The whole process was carried out in 3D visualization environments.Mine practical examples show that the proposed method is of excellent operability and reliability.

Key words: oredraw scheme optimization, value model, block caving method, oredraw simulation, oredraw control, oredraw scheme optimization, value model, block caving method, oredraw simulation, oredraw control

CLC Number: 

  • TD853
［1］ 冯兴隆.自然崩落法矿岩工程质量数字化评价及模拟技术研究［D］.长沙：中南大学，2010.
［2］刘兴国.放矿理论基础［M］.北京：冶金工业出版社，1995.
［3］ 任凤玉.随机介质放矿理论及其应用［M］. 北京：冶金工业出版社，1994.
［4］ 任凤玉，刘兴国.崩落法放矿计算机模拟［J］.东北大学学报（自然科学版），1992，13（3）：231-236.
［5］ 陶干强，任青云，马骄阳.基于运动学模型的多漏口放矿规律［J］.煤炭学报，2012，37（3）：407-410.
［6］ 朱华碧，陶干强，段利波.崩落放矿散体流动过程数值模拟研究［J］.科学技术与工程，2010，10（10）：2438-2441.
［7］ 曾庆田，刘科伟，严体.基于多数值模拟方法联合的自然崩落法开采研究［J］.黄金科学技术，2015，23（1）：66-73.
［8］ 周益龙，王宁.自然崩落采矿法计算机放矿控制技术［J］.黄金，2002，23（6）：11-15.
［9］ Yashar P，Hoomam A Nasab，Dwayne D T.Amulti-step approach for block-cave production schedulingoptimization［J］.International Journal of Mining Science and Technology，2013，23（3）：739-750.
［10］ Brown E T.Block Caving Geomechanics［R］.Queensland：Julius Kruttschnitt Mineral Research Centre，2002.
［11］ 刘晓明，罗周全，徐纪成，等.大型矿区资源开采规划模型的建立及其应用［J］.中南大学学报（自然科学版），2014，45（8）：2812-2816.
［12］ 毕林.数字采矿软件平台关键技术研究［D］.长沙：中南大学，2010.
［13］  蒋渊和，陈忠强，王李管.基于DIMINE三维可视化技术在矿床地质中的应用［J］.现代矿业，2010，（7）：51-54.
［14］ 罗周全，李畅，刘晓明.金属矿床可视化建模及储量计算［J］.矿冶工程，2009，29（1）：10-14.
［15］ 尚晓明，王李管.地质统计学在某铜矿储量计算中的应用［J］.中国钼业，2007，31（6）：12-16.
［16］ 曾庆田，王李管.云南某铜矿资源及开采环境评价可视化建模技术研究［J］.矿冶工程，2007，27（3）：15-19.
［17］ 张树茂.放矿图形的程序设计及应用［J］.有色金属（矿山部分），2003，55（1）：17-18.
［18］ 荆永斌，刘晓明，毕林.复杂矿床三维可视化建模关键技术［J］.中南大学学报（自然科学版），2014，45（9）：3104-3110.
［19］ 李梅，毛善君，马蔼乃.平行轮廓线矿体重建算法［J］. 计算机辅助设计与图形学学报，2006，18（7）：1017-1021.
［20］ 徐志强，杨邦荣，王李管，等.巷道实体的三维建模研究与实现［J］.计算机工程与应用，2008，44（6）：202-205.
［21］ 谭正华，王李管，熊书敏，等.基于实测边界线的地下巷道三维建模方法［J］.中南大学学报（自然科学版），2012，43（2）：626-631.
［22］ 毕林，王李管，陈建宏，等.基于八叉树的复杂地质体块段模型建模技术［J］.中国矿业大学学报，2008，37（4）：532-537.
［23］  Barry J O E.Construction of three-dimensional improved-quality triangulations using local transformations［J］.Siam Journal on Scientific Computing，1995，16（6）：1292-1307.
[1] SHI Caixing, GUO Lijie, LI Wenchen, ZHANG Dan. Study on Filling Cementitious Materials Based on Lead-Zinc Smelting Slag and Its Application [J]. Gold Science and Technology, 2018, 26(2): 160-169.
[2] LIU Dingyi, WANG Liguan, CHEN Xin, ZHONG Deyun, XU Zhiqiang. Study on Multi Objective Optimization and Application of Medium and Long Term Plan for Underground Mine [J]. Gold Science and Technology, 2018, 26(2): 228-233.
[3] LIN Ge, GONG Fengqiang. Research on Evaluation Index of Red Sandstone Instability Under Different Stress [J]. Gold Science and Technology, 2018, 26(2): 195-202.
[4] CAO Shirong，HAN Jianwen，LI Yongxin，WANG Xiaojun，FENG Xiao，ZHUO Yulong. Damage Analysis of Solid Waste Rock Cemented Filling Body Based on Acoustic Emission Probability Density Function [J]. Gold Science and Technology, 2017, 25(6): 92-98.
[5] DING Jianfeng. Research on the Ore Bunker Treatment of a Gold Mine [J]. Gold Science and Technology, 2017, 25(4): 52-57.
[6] LI Zongnan，GUO Lijie，YU Bin，SHI Caixing. Shearing Thinning Behavior of High Concentration Slurry Based on Bingham Model [J]. Gold Science and Technology, 2017, 25(4): 33-38.
[7] BAI Zhaoyang，WANG Guowei，ZHANG Peng，LIU Shuanping. Research on Pillaring Blasting Location Under Level Gob Group Conditions [J]. Gold Science and Technology, 2017, 25(4): 81-86.
[8] XU Huaihao，LI Jinyou. Application Practice of Increasing Production and Reducing Consumption in Grinding System of Dayingezhuang Gold Mine [J]. Gold Science and Technology, 2017, 25(3): 116-120.
[9] WANG Xinmin，RONG Shuai，ZHAO Maoyang，ZHANG Qinli . Concentration Equipment Optimization Based on Variable Weight Theory and TOPSIS [J]. Gold Science and Technology, 2017, 25(3): 77-83.
[10] LIU Zhixiang，GONG Yongchao，LI Xibing. Study on the Backfilling Material Properties Based on Fractal Theory and BP Neural Network [J]. Gold Science and Technology, 2017, 25(2): 38-44.
[11] HU Jianhua，YANG Chun，ZHOU Bingren，ZHOU Keping，ZHANG Shaoguo. Simulation of Fracture Propagation and Optimization of Parameters for Smooth Blasting of Coping in Roadway [J]. Gold Science and Technology, 2017, 25(2): 45-53.
[12] JIA Mintao，WANG Qunfang，WU Lengjun. Research Status and Prospect of Thermal Environmental Control Technology Under Deep Mining [J]. Gold Science and Technology, 2017, 25(2): 83-88.
[13] XIAO Weijing，CHEN Chen，LI Yongxin，WANG Xiaojun，CAO Shirong，HAN Jianwen. Creep Experiment and Model of Deep Limestone Under Step Loading [J]. Gold Science and Technology, 2017, 25(2): 76-82.
[14] CAO Shirong，HAN Jianwen，XIAO Weijing，ZHUO Yulong，WANG Xiaojun，FENG Xiao. Study on Stress-Strain Relationship of Cemented Backfilling with Different Aggregate Content [J]. Gold Science and Technology, 2017, 25(1): 93-98.
[15] LAN Zhipeng，WANG Xinmin，WANG Hongjiang，CHEN Qiusong. Experiment Research on Slurry Setting Time’s Effect on High-sulphur Backfill’s Compressive Strength [J]. Gold Science and Technology, 2016, 24(5): 13-18.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!

©2018 Gold Science and Technology　

Telephone：0931-8277791　

E-mail: hjkx@lzb.ac.cn Postcode：730000　

Powered by Beijing Magtech Co. Ltd

陇ICP备17001318号-1