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The relevant policy, technology development and application of mine intelligent robot in China are summarized. The six characteristics of mine intelligent robot, such as intelligent perception, precise operation, real-time location, intelligent management and control, intelligent decision and fault diagnosis, and the connotation of mine intelligent robot are summarized. This paper analyzes the problems faced by intelligent robot in mines from the aspects of key core technology, data standards and personnel training, etc., and it is suggested that the support and cultivation of enterprises should be strengthened from the aspects of policy support, independent research and development of technology, personnel support and standard setting, so as to create a good ecological environment for intelligent robots, and to promote the high-quality development of mine intelligent robot. It also contributes to the personnel reduction, efficiency improvement, safety and green development of China's mining industry., authors=FU Ensan1,2,3 , authorsList=FU Ensan, authorCompany=1. Information Institute, Ministry of Emergency Management of the PRC, Beijing 100029, China; 2. National Coal Mine Robot Collaborative Promotion Center, Beijing 100029, China; 3. 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articleAbstract=矿山智能机器人是实现智能矿山建设的重要支撑。梳理了我国矿山智能机器人相关政策、技术发展以及应用情况;总结了矿山智能机器人内涵及应具备的智能感知、精准作业、实时定位、智能管控、智能决策以及故障诊断的6个特征;从关键核心技术、数据标准、人才培养等方面分析了我国矿山智能机器人面临的问题,提出应从政策扶持、技术自主研发、人才支撑、标准制定等方面加强对企业的扶持和培养,营造良好智能机器人生态环境。, authors=付恩三1,2,3 , authorsList=付恩三, authorCompany=1. 应急管理部信息研究院, 北京 100029; 2. 煤矿机器人协同推进中心, 北京 100029; 3. 辽宁工程技术大学矿业学院, 阜新 123000, correspAuthors=null, authorNote=付恩三,工程师,研究方向为露天矿山开采理论、智能化以及灾害应急,电子信箱:429001709@qq.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=5bEU1eF60/bxk2Ymw9Xr+Q==, pdfFileSize=1272653, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目(51974144);辽宁工程技术大学学科创新团队项目(LNTU20TD-07))}, authors=[Author(id=1278895320767640044, tenantId=1146029695717560320, journalId=null, 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科技导报
| 综述 2024, 42(2): 104-110
我国矿山智能机器人应用现状及发展策略
全屏
付恩三
作者信息
Application status and development suggestions of intelligent mine robots
FU Ensan
Affiliations
出版时间: 2024-01-28
doi: 10.3981/j.issn.1000-7857.2024.02.010
文章导航
矿山智能机器人是实现智能矿山建设的重要支撑。梳理了我国矿山智能机器人相关政策、技术发展以及应用情况;总结了矿山智能机器人内涵及应具备的智能感知、精准作业、实时定位、智能管控、智能决策以及故障诊断的6个特征;从关键核心技术、数据标准、人才培养等方面分析了我国矿山智能机器人面临的问题,提出应从政策扶持、技术自主研发、人才支撑、标准制定等方面加强对企业的扶持和培养,营造良好智能机器人生态环境。
Mine intelligent robot is an important support for realizing intelligent mine construction. The relevant policy, technology development and application of mine intelligent robot in China are summarized. The six characteristics of mine intelligent robot, such as intelligent perception, precise operation, real-time location, intelligent management and control, intelligent decision and fault diagnosis, and the connotation of mine intelligent robot are summarized. This paper analyzes the problems faced by intelligent robot in mines from the aspects of key core technology, data standards and personnel training, etc., and it is suggested that the support and cultivation of enterprises should be strengthened from the aspects of policy support, independent research and development of technology, personnel support and standard setting, so as to create a good ecological environment for intelligent robots, and to promote the high-quality development of mine intelligent robot. It also contributes to the personnel reduction, efficiency improvement, safety and green development of China's mining industry.
mine
/
intelligent robot
/
high-end manufacturing
付恩三.
我国矿山智能机器人应用现状及发展策略.
科技导报,
2024
, 42
(2)
: 104
-110
.
DOI: 10.3981/j.issn.1000-7857.2024.02.010
FU Ensan.
Application status and development suggestions of intelligent mine robots[J].
Science & Technology Review ,
2024
, 42
(2)
: 104
-110
.
DOI: 10.3981/j.issn.1000-7857.2024.02.010
2024年第42卷第2期
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2024.02.010
接收时间:2022-12-16
首发时间:2024-04-15
出版时间:2024-01-28
收稿日期:2022-12-16
修回日期:2023-03-27
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2024.02.010
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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