Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation

doi:10.1109/TIV.2022.3197820

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation
	Ge, Shirong 1,4; Wang, Fei-Yue 7; Yang, Jianjian 1,4; Ding, Zhen 6; Wang, Xiao 7; Li, Yuchen 5; Teng, Siyu 5; Liu, Zhongmin 3; Ai, Yunfeng 2; Chen, Long 7
刊名	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
	2022-09-01
卷号	7 期号:3 页码:413-416
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
ISSN号	2379-8858
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
内容类型	期刊论文
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_先进机器人控制团队
通讯作者	Chen, Long
作者单位	1.China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.North Automat Control Technol, Inst Taiyuan, Taiyuan 030006, Shanxi, Peoples R China 4.Minist Emergency Management, Key Lab Smart Min & Robot, Beijing, Peoples R China 5.Hong Kong Baptist Univ, Fac Sci, Dept Comp Sci, Hong Kong 999077, Peoples R China 6.CHN Energy Investment Grp Co Ltd, Dept Coal Transportat, Beijing 100011, Peoples R China 7.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, 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.