Hualong Chen , Yuanqiao Wen , Yamin Huang , Lihang Song , Zhongyi Sui
{"title":"内河自主运输:系统架构、基础设施和关键技术","authors":"Hualong Chen , Yuanqiao Wen , Yamin Huang , Lihang Song , Zhongyi Sui","doi":"10.1016/j.jii.2025.100858","DOIUrl":null,"url":null,"abstract":"<div><div>With the rapid development of intelligent inland waterway shipping and autonomous vessel, the development of inland waterway autonomous transportation has become a hot topic in the shipbuilding industry and the maritime field. This study comprehensively discusses the development trends and technical challenges of inland waterway autonomous transportation from three aspects: system architecture, advanced infrastructure, and key technologies. Firstly, based on the Cyber-Physical-System theory, we propose a hierarchical architecture for the inland waterway autonomous transportation system. Second, based on the full-life-cycle management and control theory, we put forward the autonomous operation process for the planning, design, construction, operation, management, and control of the inland waterway autonomous transportation system. Then, we discuss the advanced infrastructure of the inland waterway autonomous transportation system, including perception, communication, computing, navigation scene maps, high-precision positioning, and so on. Finally, we summarize the key technologies and development challenges for implementing the inland waterway autonomous transportation system, such as autonomous vessels, the Internet of Ships, cloud-edge collaborative computing, artificial intelligence, communication, and channel geographic information systems. This research provides a potential framework and technical solutions for the inland waterway autonomous transportation system, contributing to the rapid development of the inland waterway shipping economy.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100858"},"PeriodicalIF":10.4000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inland waterway autonomous transportation: System architecture, infrastructure and key technologies\",\"authors\":\"Hualong Chen , Yuanqiao Wen , Yamin Huang , Lihang Song , Zhongyi Sui\",\"doi\":\"10.1016/j.jii.2025.100858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the rapid development of intelligent inland waterway shipping and autonomous vessel, the development of inland waterway autonomous transportation has become a hot topic in the shipbuilding industry and the maritime field. This study comprehensively discusses the development trends and technical challenges of inland waterway autonomous transportation from three aspects: system architecture, advanced infrastructure, and key technologies. Firstly, based on the Cyber-Physical-System theory, we propose a hierarchical architecture for the inland waterway autonomous transportation system. Second, based on the full-life-cycle management and control theory, we put forward the autonomous operation process for the planning, design, construction, operation, management, and control of the inland waterway autonomous transportation system. Then, we discuss the advanced infrastructure of the inland waterway autonomous transportation system, including perception, communication, computing, navigation scene maps, high-precision positioning, and so on. Finally, we summarize the key technologies and development challenges for implementing the inland waterway autonomous transportation system, such as autonomous vessels, the Internet of Ships, cloud-edge collaborative computing, artificial intelligence, communication, and channel geographic information systems. This research provides a potential framework and technical solutions for the inland waterway autonomous transportation system, contributing to the rapid development of the inland waterway shipping economy.</div></div>\",\"PeriodicalId\":55975,\"journal\":{\"name\":\"Journal of Industrial Information Integration\",\"volume\":\"46 \",\"pages\":\"Article 100858\"},\"PeriodicalIF\":10.4000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Industrial Information Integration\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452414X25000822\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial Information Integration","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452414X25000822","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Inland waterway autonomous transportation: System architecture, infrastructure and key technologies
With the rapid development of intelligent inland waterway shipping and autonomous vessel, the development of inland waterway autonomous transportation has become a hot topic in the shipbuilding industry and the maritime field. This study comprehensively discusses the development trends and technical challenges of inland waterway autonomous transportation from three aspects: system architecture, advanced infrastructure, and key technologies. Firstly, based on the Cyber-Physical-System theory, we propose a hierarchical architecture for the inland waterway autonomous transportation system. Second, based on the full-life-cycle management and control theory, we put forward the autonomous operation process for the planning, design, construction, operation, management, and control of the inland waterway autonomous transportation system. Then, we discuss the advanced infrastructure of the inland waterway autonomous transportation system, including perception, communication, computing, navigation scene maps, high-precision positioning, and so on. Finally, we summarize the key technologies and development challenges for implementing the inland waterway autonomous transportation system, such as autonomous vessels, the Internet of Ships, cloud-edge collaborative computing, artificial intelligence, communication, and channel geographic information systems. This research provides a potential framework and technical solutions for the inland waterway autonomous transportation system, contributing to the rapid development of the inland waterway shipping economy.
期刊介绍:
The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers.
The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.