检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:杨珊珊 胡晓晗 李灿 阮顺领[1] 江松[1] YANG Shanshan;HU Xiaohan;LI Can;RUAN Shunling;JIANG Song(School of Resource Engineering,Xi'an University of Architecture and Technology)
机构地区:[1]西安建筑科技大学资源工程学院,陕西省西安市710055
出 处:《现代矿业》2025年第3期89-93,99,共6页Modern Mining
基 金:国家自然科学基金面上项目(编号:52374160);陕西省大学生创新创业训练计划项(编号:S202310703144)。
摘 要:矿山智能化是矿业发展的必然趋势,其中智能视觉技术作为关键技术之一,在金属露天矿生产中发挥着重要作用。系统梳理了智能视觉技术在金属露天矿应用中的3个发展阶段,并重点分析了其在生产爆破粒度智能分析、运输安全智能检测和尾矿库安全智能监测等核心场景的应用价值。研究表明,该技术可显著提升矿山生产效率和安全水平,实现生产全过程的智能化管控。未来,智能视觉技术将在采矿装备自主化、矿山生态环境监测、绿色矿山建设以及“三深”(深部、深海、深空)开采等领域具有广阔应用前景,但同时也面临着复杂地质环境适应性、多源数据融合等挑战,需要进一步开展技术攻关和工程实践。Mine intelligence is the inevitable trend of mining development.As one of the key technolo-gies,intelligent vision technology plays an important role in the production of metal open-pit mines.This pa-per systematically reviews the three development stages of intelligent vision technology in the application of metal open-pit mines,and focuses on its application value in core scenarios such as intelligent analysis of production blasting particle size,intelligent detection of transportation safety and intelligent monitoring of tailings reservoir safety.The research shows that this technology can significantly improve the production ef-ficiency and safety level of mines,and realize the intelligent control of the whole production process.In the future,intelligent vision technology will have broad application prospects in areas such as the automation of mining equipment,monitoring of mine ecological environments,construction of green mines,and"three-deep"mining(deep earth,deep sea,and deep space).However,it also faces challenges such as adaptability to complex geological environments and the integration of multi-source data.Further technological break-throughs and engineering practices are required to address these challenges.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249