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基于GeoSLAM的矿山生产环境快速虚拟 重构研究
引用本文:马骏,徐帅,戴星航,纪旭波,王文军.基于GeoSLAM的矿山生产环境快速虚拟 重构研究[J].金属矿山,2021,50(2):161-166.
作者姓名:马骏  徐帅  戴星航  纪旭波  王文军
作者单位:1. 深部金属矿山安全开采教育部重点实验室, 辽宁 沈阳 110819;2. 辽宁石油化工大学矿业工程学院, 辽宁 抚顺 113001;3. 山东恒邦冶炼股份有限公司,山东 烟台264109;4. 甘肃酒钢集团宏兴钢铁股份有限公司, 甘肃 嘉峪关 735100
基金项目:国家自然科学基金项目;辽宁省自然科学基金指导项目;中央高校基本科研业务专项资金项目;国家重点研发计划项目
摘    要:针对现有生产环境重构方法存在工作周期长、现场工作量大、建模精度低、设备便携性差等问题,开展基于GeoSLAM系统的矿山生产环境快速重构研究。分析了GeoSLAM系统软组成和空间点云数据定位与地图重构技术的工作原理,提出井下生产环境三维场景快速重构作业流程和基于GeoSLAM测量数据与工程测量数据组合建模技术。研究成果应用于某金矿井下生产环境重构实践,结果表明本研究提出的重构工作流程和点云建模技术行之有效,生成的模型可直接与三维资源模拟软件及开采设计软件良好衔接,为数字化开采及管理提供技术支持,为智能化、无人开采提供环境数据支撑。

关 键 词:GeoSLAM建模    生产环境重构            点云处理            数字矿山    智慧矿山  

Research on Rapid Virtual Reconstruction of Mine Production Environment Based on GeoSLAM System
MA Jun,XU Shuai,DAI Xinghang,JI Xubo,WANG Wenjun.Research on Rapid Virtual Reconstruction of Mine Production Environment Based on GeoSLAM System[J].Metal Mine,2021,50(2):161-166.
Authors:MA Jun  XU Shuai  DAI Xinghang  JI Xubo  WANG Wenjun
Affiliation:(Key Laboratory of Ministry of Education for Safe Mining of Deep Metal Mines,Shenyang 110819,China;School of Mining Engineering,Liaoning Shihua University,Fushun 113001,China;Shandong Hengbang Smelting Co.,Ltd.,Yantai 264109,China;Hongxing Iron and Steel Co.,Ltd.of Gansu Jiugang Group,Jiayuguan 735100,China)
Abstract:Aiming at the problems of the existing underground production environment reconstruction methods,such as large preparation and field workload,poor modeling accuracy and poor equipment portability,the rapid reconstruction of mine production environment based on GeoSLAM system is carried out.This paper introduces the software and hardware composition of GeoSLAM system,and analyzes the principle of spatial point cloud data generation,simultaneous positioning,and map reconstruction technology.Based on this,the work flow of 3D scene rapid reconstruction of underground production environment is established,and a combined modeling method combining GeoSLAM system modeling and engineering survey data modeling is proposed.Finally,the research results are applied to the reconstruction of underground production environment in a Gold mine.The results show that the reconstruction workflow and point cloud processing method proposed in this paper are effective,and the 3D resource mining software and mining design software can directly use the model generated by this method,provide technical support for digital mining and management,and provide environmental data support for intelligent and unmanned mining.
Keywords:GeoSLAM modeling  production environment reconstruction  point cloud processing  digital mine  smart mine
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