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金属矿山 ›› 2024, Vol. 53 ›› Issue (01): 7-19.

• “智能矿山建设与实践”专题 • 上一篇    下一篇

我国金属矿山智能化现状与问题探讨

胡乃联1,2 李国清1,2
  

  1. 1. 北京科技大学土木与资源工程学院,北京 100083;2. 金属矿山高效开采与安全教育部重点实验室,北京 100083
  • 出版日期:2024-01-15 发布日期:2024-04-19
  • 基金资助:
    “十三五”国家重点研发计划项目(编号:2022YFC2903905);国家自然科学基金项目(编号:52074022)。

Discussion on the Status and Issues of Intelligence for Metal Mines in China

HU Nailian1,2 LI Guoqing1,2    

  1. 1. School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;2. Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines,Beijing 100083,China
  • Online:2024-01-15 Published:2024-04-19

摘要: 我国金属矿山智能化在经历了前期的探索性研究后,已进入了规模化、常态化应用的新阶段。 为了系 统评价已形成的研究成果、保证前期积累得以顺利移植和推广,以智能生产和集成平台两类代表性应用为主要内容, 总结了金属矿山智能化发展现状和应用效果。 结果表明:我国金属矿山在智能开采领域取得了长足的进步,露天矿 山的遥控铲装运输、地下矿山的电机车自动化、固定设施的无人值守等项目已开始常态化应用;在集成平台建设上具 有鲜明的特色,技术平台、安全平台、集控平台和决策平台已在多个矿山的生产管控中发挥作用。 最后,结合现状分析 着重探讨了矿山在建设内容选择、关键技术确定、数字化转型路径、管理模式转变、运维与应用效果等方面出现的问 题,指出了容易产生的误区,为矿山企业扩大建设成果、保证建设实效、规避建设风险提供参考。

关键词: 金属矿山, 智能矿山, 智能生产, 集成平台, 自动化采矿

Abstract: China′s metal mine intelligence is stepping into a new stage of promotion and regular application after the preliminary experimental research. Both of the construction progresses and application effects are summarized from two representative scenarios,namely intelligent operation and integrated platform,which can contribute to evaluate the achievement systematically,and promote the experience successfully as well. It is concluded that China′s metal mines have made significant improvements in the field of intelligent mining. Projects such as remote-controlled shovelling and transporting in open-pit mines,automation of motor vehicles in underground mines,along with unmanned guarding of stationary facilities,have applied routinely. Furthermore,the most distinctive features are the platforms which integrated multi-application systems,shown in the fact that the technology platform,safety platform,centralised control platform and decision-making platform,have played roles for the production control in several mines. Finally,in response to the current situation,several issues for the metal mine intelligence, including content selection,key technologies. path of digital transformation,upgrade of management,attention to maintenance effectiveness,are discussed to specify some misunderstandings,which can provide reference for metal mines to expand achievements,ensure effectiveness and reduce project risks.