Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology

doi:10.1109/TSMC.2022.3228934

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

	Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology
	Wang, Xingxia 1,2; Cheng, Xiang 1,2; Lu, Jingwei2,3 ; Kwan, Oliver 4; Li, Shixing 5; Ping, Zhixing 5
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2022-12-22
页码	10
通讯作者	Lu, Jingwei(lujingweihh@gmail.com)
摘要	Aiming to provide a novel paradigm of oil fields, metaverses-based parallel oil fields are proposed in this article. Compared with the existing smart/intelligent oil fields in cyber-physical systems (CPS), parallel oil fields can take human factors into full consideration and expand the operation space to cyber-physical-social systems (CPSS), which can be regarded as the abstract and scientific explanation of metaverses. In the proposed parallel oil fields, there are three kinds of workers (human workers, digital workers, and robotic workers) coordinating to construct a more reliable and intelligent oil field. Furthermore, the framework and methodology of parallel oil fields are illustrated by parallel systems and the artificial systems, computational experiments, and parallel executions (ACP) approach. Based on the proposed framework, parallel oil fields are capable of generating a more trustworthy artificial system and guaranteeing the realization of the 6S (safety, security, sustainability, sensitivity, service, and smartness) goal. Finally, based on dynamometer cards, fault diagnosis of sucker rod pumping systems (SRPS) is investigated in parallel oil fields.
关键词	Artificial systems computational experiments and parallel executions (ACP) approach Cyber-physical-social systems (CPSS) digital workers fault diagnosis metaverses-based parallel oil fields parallel systems
DOI	10.1109/TSMC.2022.3228934
关键词[WOS]	INTELLIGENT TRANSPORTATION SYSTEMS ; OF-THE-ART ; INDUSTRY 4.0 ; FAULT-DIAGNOSIS ; DECISION-MAKING ; SCENARIOS ; STATE ; MANAGEMENT ; BLOCKCHAIN ; INTERNET
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000903354800001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：8[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/173211/51025
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	Lu, Jingwei
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automation, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 4.Motion G Inc, Singapore City 068898, Singapore 5.North Automatic Control Technol Inst, Taiyuan 030006, Peoples R China
第一作者单位	中国科学院自动化研究所
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	Wang, Xingxia,Cheng, Xiang,Lu, Jingwei,et al. Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2022:10.
APA	Wang, Xingxia,Cheng, Xiang,Lu, Jingwei,Kwan, Oliver,Li, Shixing,&Ping, Zhixing.(2022).Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,10.
MLA	Wang, Xingxia,et al."Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022):10.