Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach

doi:10.1109/JIOT.2019.2948470

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach
	Gao, Yu 1; Ai, Yunfeng 2; Tian, Bin3 ; Chen, Long 4; Wang, Jian 5; Cao, Dongpu 6; Wang, Fei-Yue3
发表期刊	IEEE INTERNET OF THINGS JOURNAL
ISSN	2327-4662
	2020-02-01
卷号	7 期号:2 页码:1011-1023
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
摘要	This article proposes a new solution for end-to-end autonomous mining operations: Internet of Things (IoT)-based parallel mining, consisting of the concept definition, the solution given, and the concrete realization. The proposed parallel mining is inspired by the artificial societies (A) for modeling, computational experiments (C) for analysis, and parallel execution (P) for control (ACP) approach. The basic framework of parallel mining is given and its advantages are expounded. Then, the solution of parallel mining is proposed, which is mainly composed of four parts: 1) the management and control center for autonomous mining; 2) the autonomous transportation platform of truck; 3) the semiautonomous mining/shovel platform; and 4) the remote takeover platform. Key technologies of IoT-based parallel mining are discussed in detail, namely, network communication, virtual parallel mining construction, mining environment perception over-the-horizon for the moving area and obstacle detection, collaborative decision making, planning, and control for unmanned mining equipment, and parallel taking-over and remote control. Finally, the performance of IoT-based parallel mining, including fusion perception, collaborative decision making, planning, and control, is evaluated. The realization of parallel mining can fundamentally improve the safety of personnel and equipment, reduce the cost of mining operation, and increase the production rate.
关键词	Data mining Transportation Internet of Things Mining equipment Safety Decision making Artificial societies (A) for modeling computational experiments (C) for analysis and parallel execution (P) for control (ACP) approach autonomous truck decision making Internet of Things (IoT) management and control parallel mines
DOI	10.1109/JIOT.2019.2948470
关键词[WOS]	CONTROL-SYSTEM
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; Beijing Municipal Science and Technology Commission[Z181100008918007] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles
项目资助者	National Natural Science Foundation of China ; Beijing Municipal Science and Technology Commission ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000521981800017
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	人工智能+交通
引用统计	被引频次：34[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/38780
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Fei-Yue
作者单位	1.Vehicle Intelligence Pioneers Inc, Qingdao 266109, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Peoples R China 5.Jilin Univ, Coll Comp Sci & Technol, Changchun, Peoples R China 6.Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Gao, Yu,Ai, Yunfeng,Tian, Bin,et al. Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach[J]. IEEE INTERNET OF THINGS JOURNAL,2020,7(2):1011-1023.
APA	Gao, Yu.,Ai, Yunfeng.,Tian, Bin.,Chen, Long.,Wang, Jian.,...&Wang, Fei-Yue.(2020).Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach.IEEE INTERNET OF THINGS JOURNAL,7(2),1011-1023.
MLA	Gao, Yu,et al."Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach".IEEE INTERNET OF THINGS JOURNAL 7.2(2020):1011-1023.