Smart Management of Sand-Breaking Systems for Taklimakan SandSea Highway: A Parallel Intelligence and Fuzzy Control Approach
文献类型:期刊论文
作者 | Chang, Fangle1,2![]() ![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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出版日期 | 2024-07-30 |
页码 | 11 |
关键词 | Road transportation Disasters Indexes Wind speed Vectors System performance Fuzzy control Conditional tabular generative adversarial network (CTGAN) fuzzy control parallel intelligence sand-breaking systems Taklimakan SandSea |
ISSN号 | 2329-924X |
DOI | 10.1109/TCSS.2024.3413795 |
通讯作者 | Kang, Mengzhen(mengzhen.kang@ia.ac.cn) ; Lei, Jiaqiang(leijq@ms.xjb.ac.cn) |
英文摘要 | The planning, construction, and maintenance of sand-breaking systems around highway in Taklimakan SandSea mainly depend on expert's empirical knowledge, and face the problems of time-consuming management, unpredictable system performance, and few available data. This work proposes a management and control method of sand-breaking systems that follows artificial system, computational experiments, and parallel execution (ACP) theory. Expert knowledge was extracted to develop artificial sand-breaking system. conditional tabular generative adversarial network (CTGAN) was developed to achieve data augmentation. Computational experiments were implemented to evaluate artificial system performance by predicting whether the system can reach the set age limit. Using fuzzy control, the real sand-breaking system and the artificial one can learn from each other in parallel execution to provide decision support for sand-breaking system management. This approach provides a human-machine hybrid parallel intelligence system for complex sand-breaking systems management. |
WOS关键词 | WINDBLOWN SAND ; DESERT HIGHWAY ; INFRASTRUCTURES ; BARRIERS |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030102] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:001283797900001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences |
源URL | [http://ir.ia.ac.cn/handle/173211/59397] ![]() |
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 |
通讯作者 | Kang, Mengzhen; Lei, Jiaqiang |
作者单位 | 1.Zhejiang Univ, Ningbo Innovat Ctr, Ningbo 315100, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 4.Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China 5.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China 6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 7.Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China 8.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 650100, Peoples R China |
推荐引用方式 GB/T 7714 | Chang, Fangle,Wang, Xiujuan,Kang, Mengzhen,et al. Smart Management of Sand-Breaking Systems for Taklimakan SandSea Highway: A Parallel Intelligence and Fuzzy Control Approach[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024:11. |
APA | Chang, Fangle.,Wang, Xiujuan.,Kang, Mengzhen.,Tao, Yu.,Yang, Jiahong.,...&Wang, Fei-Yue.(2024).Smart Management of Sand-Breaking Systems for Taklimakan SandSea Highway: A Parallel Intelligence and Fuzzy Control Approach.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,11. |
MLA | Chang, Fangle,et al."Smart Management of Sand-Breaking Systems for Taklimakan SandSea Highway: A Parallel Intelligence and Fuzzy Control Approach".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2024):11. |
入库方式: OAI收割
来源:自动化研究所
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