Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation
文献类型：期刊论文
| 作者 | Ge, Shirong6,7; Wang, Fei-Yue5 ; Yang, Jianjian6,7; Ding, Zhen4; Wang, Xiao5; Li, Yuchen3; Teng, Siyu3; Liu, Zhongmin2; Ai, Yunfeng1; Chen, Long5
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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| 出版日期 | 2022-09-01 |
| 卷号 | 7期号:3页码:413-416 |
| ISSN号 | 2379-8858 |
| 关键词 | Autonomous vehicles Standards Production Safety Data mining Transportation Roads Intelligent mining parallel intelligence parallel mining operation systems autonomous transportation smart mining standards |
| DOI | 10.1109/TIV.2022.3197820 |
| 通讯作者 | Chen, Long(long.chen@ia.ac.cn) |
| 英文摘要 | In face of the safety risk and ageing workforce in traditional mining industry, smart mining is becoming the new trend, especially the autonomous mining, which could completely address the safety issue while boosting efficiency. However, the lack of specific standards for the smart mining has led to the various types of equipment and high development costs. Therefore, we present the effort by Chinese mining research organizations and industrial enterprises in creating standards for automation and autonomy. Besides, we introduce a few key intelligent technologies for the autonomous mining transportation, and several current applications of autonomous trucks in mines around the world. These key intelligent technologies are likely to be further improved with following standards and become more affordable for mines. |
| 资助项目 | Theory and Method of Excavation Support-Anchor Parallel Control for Intelligent Excavation Complex System[2021101030125] ; Green, Intelligent, and Safe Mining of Coal Resources[52121003] ; Mining Robotics Engineering Discipline Innovation and Intelligence Base[B21014] |
| WOS研究方向 | Computer Science ; Engineering ; Transportation |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000873905600006 |
| 资助机构 | Theory and Method of Excavation Support-Anchor Parallel Control for Intelligent Excavation Complex System ; Green, Intelligent, and Safe Mining of Coal Resources ; Mining Robotics Engineering Discipline Innovation and Intelligence Base |
| 源URL | [http://ir.ia.ac.cn/handle/173211/50566]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Chen, Long |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.North Automat Control Technol, Inst Taiyuan, Taiyuan 030006, Shanxi, Peoples R China 3.Hong Kong Baptist Univ, Fac Sci, Dept Comp Sci, Hong Kong 999077, Peoples R China 4.CHN Energy Investment Grp Co Ltd, Dept Coal Transportat, Beijing 100011, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 6.Minist Emergency Management, Key Lab Smart Min & Robot, Beijing, Peoples R China 7.China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ge, Shirong,Wang, Fei-Yue,Yang, Jianjian,et al. Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2022,7(3):413-416. |
| APA | Ge, Shirong.,Wang, Fei-Yue.,Yang, Jianjian.,Ding, Zhen.,Wang, Xiao.,...&Chen, Long.(2022).Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,7(3),413-416. |
| MLA | Ge, Shirong,et al."Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 7.3(2022):413-416. |
入库方式： OAI收割
来源：自动化研究所
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