Journal of Industrial Information Integration最新文献_第9页

Integrating smart production and multi-objective reverse logistics for the optimum consumer-centric complex retail strategy towards a smart factory’s solution 集成智能生产和多目标逆向物流，以实现以消费者为中心的最佳复杂零售策略，以实现智能工厂的解决方案

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-16 DOI: 10.1016/j.jii.2025.100856

Biswajit Sarkar , Sandipa Bhattacharya , Mitali Sarkar

{"title":"Integrating smart production and multi-objective reverse logistics for the optimum consumer-centric complex retail strategy towards a smart factory’s solution","authors":"Biswajit Sarkar , Sandipa Bhattacharya , Mitali Sarkar","doi":"10.1016/j.jii.2025.100856","DOIUrl":"10.1016/j.jii.2025.100856","url":null,"abstract":"<div><div>In response to complex retail challenges, the elasticity of production and logistic efficacy can minimize expenses, which always meets consumer satisfaction. The approach evolves by implementing a retail logistics strategy to integrate advanced production information under diverse trading modes. The research promotes a high level of consumer service, and on the other hand, the remanufacturing establishes a significant retail insight by holistically defining the prime pillar in the success of reverse e-commerce platforms. In reality, the advent of strategy actualizes quantifying success components in retail logistics practices with an adequate understanding of consumer preferences. The approach intensifies consumer expectations to trigger retailing efforts and ensures effective interaction, which is a prominent challenge to retailers. In this context, consumer-centric retail strategy is reshaped under the robust paradigm to facilitate the impact of the retail economy in the logistics framework. The study proposes a comprehensive mathematical framework with multiple objectives following restrictions to implement the marketing operations under two distinct retail scenarios. The findings demonstrate consumer loyalty and outline the logistics experiences with declining total costs and delivery time by looking at cooperative interaction methodology. An excellent measure reveals a consumer service goal of reducing the 34% expenses and 25% delivery time of the product by expanding a 20% green advantage into logistics retailing. The empirical analysis revamps the conceptual underpinnings of the reverse logistics business and extends a novel opportunity in marketing. More specifically, the trend has led to anticipating the subject’s intention under the logistics operational services.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100856"},"PeriodicalIF":10.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mixed reality lab for assembly and disassembly of industrial products 用于工业产品组装和拆卸的混合现实实验室

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-15 DOI: 10.1016/j.jii.2025.100873

Simone Cantarelli, Daniela Francia, Gian Maria Santi, Alfredo Liverani, Matteo Fiori

{"title":"Mixed reality lab for assembly and disassembly of industrial products","authors":"Simone Cantarelli, Daniela Francia, Gian Maria Santi, Alfredo Liverani, Matteo Fiori","doi":"10.1016/j.jii.2025.100873","DOIUrl":"10.1016/j.jii.2025.100873","url":null,"abstract":"<div><div>The advent of virtual simulation and Augmented Reality has had a profound impact on industrial processes, enhancing operational efficiency and optimising production workflows. This paper presents a comprehensive study on the development and implementation of a Mixed Reality Lab designed for the assembly and disassembly of industrial products. The primary objective is to create an advanced and intuitive Virtual Reality (VR) environment that facilitates industrial operators’ learning and reduces training time while minimising errors.</div><div>The project encompasses the scanning and 3D modelling of industrial components using various technologies, including photogrammetry, structured light, laser scanning, and LiDAR. These techniques are evaluated for their precision and effectiveness in generating accurate 3D models. The VR environment is developed using Unity, incorporating features that support interactive and immersive user experiences.</div><div>Detailed methodologies for the creation and refinement of point clouds, mesh generation, and virtual environment setup are provided. The assembly and disassembly processes are tested using a brake assembly as a case study, thereby demonstrating the system’s ability to manage complex industrial tasks. The results indicate significant improvements in training efficiency and operational precision, with potential applications across various industrial sectors.</div><div>This study concludes by summarising the findings, discussing the implications for industrial training and operations, and suggesting directions for future research in the field of Mixed Reality applications in industry.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100873"},"PeriodicalIF":10.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From automation to augmentation: Human resource's journey with artificial intelligence 从自动化到增强：人力资源与人工智能的旅程

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-15 DOI: 10.1016/j.jii.2025.100872

Maria Bastida , Alberto Vaquero García , Miguel Ángel Vazquez Taín , Marisa Del Río Araujo

{"title":"From automation to augmentation: Human resource's journey with artificial intelligence","authors":"Maria Bastida , Alberto Vaquero García , Miguel Ángel Vazquez Taín , Marisa Del Río Araujo","doi":"10.1016/j.jii.2025.100872","DOIUrl":"10.1016/j.jii.2025.100872","url":null,"abstract":"<div><div>This article examines the strategic integration of artificial intelligence (AI) in human resource management (HRM), highlighting both its opportunities and its challenges. While AI can improve HRM functions such as recruitment, performance evaluation and employee development, it also raises concerns related to algorithmic bias, technostress and resistance to change. To navigate these complexities, we present a structured two-tiered model that balances algorithmic efficiency with human-centred workforce development. Unlike previous studies that explore AI-driven human resource management in isolation, this research provides a comprehensive strategy for AI adoption that improves employee engagement, optimises HR decision-making and fosters organisational resilience.</div><div>In addition to outlining the role of AI in human resource management, we explore its practical implications, ethical considerations and associated risks, offering strategies to mitigate bias, promote transparency and foster organisational readiness for AI-driven transformation. We also emphasise the importance of pilot studies and empirical validation to assess the model's effectiveness in diverse organisational contexts. By providing a structured roadmap for AI integration, this study contributes to the ongoing discourse on how human resource management can lead, rather than simply adapt to, AI-driven workforce transformation.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100872"},"PeriodicalIF":10.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent optimization of particle size distribution in unscreened recycled coarse aggregates using 3D surface analysis 利用三维表面分析对未筛选再生粗骨料粒径分布进行智能优化

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-12 DOI: 10.1016/j.jii.2025.100864

Cheng Chang , Francesco Di Maio , Rajeev Bheemireddy , Perry Posthoorn , Abraham T. Gebremariam , Peter Rem

{"title":"Intelligent optimization of particle size distribution in unscreened recycled coarse aggregates using 3D surface analysis","authors":"Cheng Chang , Francesco Di Maio , Rajeev Bheemireddy , Perry Posthoorn , Abraham T. Gebremariam , Peter Rem","doi":"10.1016/j.jii.2025.100864","DOIUrl":"10.1016/j.jii.2025.100864","url":null,"abstract":"<div><div>The efficient measurement and optimization of the particle size distribution (PSD) of recycled coarse aggregates (RCA) is critical to ensuring consistent quality in high-performance concrete production. Unlike primary aggregates, which typically demonstrate minimal variability over extended periods and require only occasional testing, RCA often exhibit substantial fluctuations in quality over short timeframes. This variability necessitates a precise, automated, and real-time quality assessment approach, which is lacking in conventional aggregate processing. In this study, a rapid, automated, and non-contact 3D surface analysis method is proposed to assess and optimize the PSD of unscreened RCA during continuous transport on a conveyor belt. A custom-designed conical feeder and splitter facilitate the formation of continuous, symmetric triangular RCA piles, ranging from 4.0 to 16.0 mm in size. Representative PSD measurements are obtained by analyzing a designated strip located at one-third of the pile's height. High-resolution 3D point cloud data are processed using a watershed segmentation algorithm that leverages gradient-based path tracing for efficient topographical mapping. This enables parallel data processing, thereby reducing computational time. The proposed method enables real-time and accurate PSD analysis at industrial throughput levels (≥50 tons per hour) without interrupting conveyor operation, achieving a Root Mean Square Error (RMSE) between 4.69 % and 6.09 %. Furthermore, an optimization strategy based on cumulative percentage retained curves enhances RCA quality and supports continuous process control. The integration of these techniques contributes to improved RCA management and promotes sustainable resource utilization and waste reduction in the construction sector.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100864"},"PeriodicalIF":10.4,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Opportunities and challenges of increased digitalization during new product introduction

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-08 DOI: 10.1016/j.jii.2025.100862

Paraskeva Wlazlak, Edris Safavi, Kerstin Johansen

{"title":"Opportunities and challenges of increased digitalization during new product introduction","authors":"Paraskeva Wlazlak, Edris Safavi, Kerstin Johansen","doi":"10.1016/j.jii.2025.100862","DOIUrl":"10.1016/j.jii.2025.100862","url":null,"abstract":"<div><div>This study addresses a critical gap in the literature by providing a comprehensive analysis of the organizational opportunities and challenges linked to increasing digitalization within the context of New Product Introduction (NPI), with a particular focus on large organizations within the manufacturing industry. The study introduces a framework that integrates opportunities, challenges, and tentative mechanisms associated with digitalization, employing a sociotechnical perspective that considers the interdependencies among tools/technology, processes, and people. This holistic approach highlights the multifaceted nature of digitalization and emphasizes the necessity of balancing these dimensions to achieve successful NPI outcomes. By adopting a sociotechnical perspective on increasing digitalization during NPI, the study underscores the complexity of digitalization challenges, which span technological, process-related, and human factors. The framework extends existing research and offers valuable insights for academics and practitioners, facilitating a deeper understanding of digitalization's complexities in large manufacturing organizations.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100862"},"PeriodicalIF":10.4,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion 基于决策级信息融合概率神经网络的机械系统协同可信故障诊断

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-07 DOI: 10.1016/j.jii.2025.100854

Zifei Xu , Kaicheng Zhao , Wanfu Zhang , Weipao Miao , Kang Sun , Jin Wang , Musa Bashir

{"title":"Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion","authors":"Zifei Xu , Kaicheng Zhao , Wanfu Zhang , Weipao Miao , Kang Sun , Jin Wang , Musa Bashir","doi":"10.1016/j.jii.2025.100854","DOIUrl":"10.1016/j.jii.2025.100854","url":null,"abstract":"<div><div>Fault diagnosis is a critical component of prognostics and health management, enhancing machinery reliability and ensuring operational efficiency by enabling proactive maintenance strategies. However, achieving this requires high data fidelity to accurately predict the full spectrum of faults and structural degradation for reliable assessments. AI-driven fault diagnostics based on machine learning often face challenges in reliability due to uncertainties arising from variations in data distribution, caused by changing operating conditions and noise interference. These factors undermine the trustworthiness of such methods. To address these challenges in accuracy and reliability for mechanical systems, such as gearboxes, this study proposes a Trustworthy Intelligent Diagnostic (TID) model. The TID model incorporates a multi-scale probabilistic neural network, and a decision fusion module based on uncertainty quantification (UQ). Specifically, three UQ-based decision fusion strategies are introduced to enhance diagnostic reliability by effectively managing uncertainty in fault diagnosis. Building upon the TID model, a cooperative fault diagnosis framework is further proposed to facilitate fault knowledge sharing and alleviate the limitations posed by data scarcity. The proposed approach is validated using both experimental data and real-world wind turbine gearbox failure datasets, demonstrating significant improvements in diagnostic accuracy and a notable reduction in false alarm rates. These results highlight the effectiveness, reliability, and superiority of the proposed method.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100854"},"PeriodicalIF":10.4,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144066061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi-scenario model fusion and verification method for digital twin machine tool 数字孪生机床多场景模型融合与验证方法

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-02 DOI: 10.1016/j.jii.2025.100859

Haochen Li, Ping Yan, Han Zhou, Jie Pei, Bochen Wang

{"title":"A multi-scenario model fusion and verification method for digital twin machine tool","authors":"Haochen Li, Ping Yan, Han Zhou, Jie Pei, Bochen Wang","doi":"10.1016/j.jii.2025.100859","DOIUrl":"10.1016/j.jii.2025.100859","url":null,"abstract":"<div><div>High-fidelity digital twin modeling is the core of digital twin machine tool (DTMT) to achieve accurate mapping and deliver functional services. Model fusion is a key modeling technology to promote the integrity and system connectivity of DTMT. However, current model fusion lacks attention to the multi-scenario characteristics of DTMT, which hinders the effective application of DTMT. Therefore, this paper proposes a multi-scenario model fusion and verification method for DTMT to eliminate information islands, improve model collaboration and respond to dynamic application requirements. Firstly, an S3C2 architecture is proposed to guide the multi-scenario model fusion of DTMT. The S3C2 architecture helps clarify the structural relationships of multi-scenario models and mask their heterogeneity, thus enabling DTMT to fuse the right models at the right time and provide the desired digital twin service. In addition, the fusion mechanism with different topologies is also considered to support the information exchange in the multi-scenario model fusion process of DTMT. Then, a method combining SysML and π-calculus is proposed to describe the fusion behavior and verify the fusion process. Verifying the correctness of interactive behaviors and semantic consistency in the model fusion process is helpful to ensure the stability of the digital twin system and improve the utilization rate of resources. Finally, the effectiveness and operability of the proposed method is proved by a case study.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100859"},"PeriodicalIF":10.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A computer vision-based approach for identification of non-metallic inclusions in the steel industry products 基于计算机视觉的钢铁工业产品中非金属夹杂物识别方法

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-02 DOI: 10.1016/j.jii.2025.100860

Surya Prakash Mishra , Ashok Kamaraj , V Rajinikanth , M R Rahul

{"title":"A computer vision-based approach for identification of non-metallic inclusions in the steel industry products","authors":"Surya Prakash Mishra , Ashok Kamaraj , V Rajinikanth , M R Rahul","doi":"10.1016/j.jii.2025.100860","DOIUrl":"10.1016/j.jii.2025.100860","url":null,"abstract":"<div><div>Identification of microstructures is the core of materials engineering. Artificial intelligence's application in materials engineering has recently shown the possibility of realizing complicated tasks. Identifying elemental distribution in microstructure requires experimentation or computationally intensive modeling techniques. The current work focuses on the question, can artificial intelligence predict elemental distribution in a microstructure? The case study was selected from the steel industry. Making steel will cause different inclusions; identifying them is essential for qualifying the steel for applications. The current study develops a unique computer vision-based architecture by integrating Swin Transformer and U-Net architecture to identify the inclusions. The developed model can predict the type of inclusion in the steel by generating the elemental distribution images. The model is compared with the possible available architectures in the literature. The new model shows the lowest mean absolute error of 0.0529, root mean squared error of 0.0902, mean squared error of 0.0081, and the highest structural similarity (SSim) value of 0.68965 and an intersection over union (IoU) of 1 when images are binarised.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100860"},"PeriodicalIF":10.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the applicability of industry 4.0 technologies in oil and gas pipeline leakage monitoring: Results from an empirical study 探索工业4.0技术在油气管道泄漏监测中的适用性：实证研究结果

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-05-01 DOI: 10.1016/j.jii.2025.100857

Ismail W.R. Taifa, Rehema Adam Mahundi, Victoria Mahabi

{"title":"Exploring the applicability of industry 4.0 technologies in oil and gas pipeline leakage monitoring: Results from an empirical study","authors":"Ismail W.R. Taifa, Rehema Adam Mahundi, Victoria Mahabi","doi":"10.1016/j.jii.2025.100857","DOIUrl":"10.1016/j.jii.2025.100857","url":null,"abstract":"<div><div>This study explored the applicability of Industry 4.0 (I4.0) technologies in oil and gas (O&G) pipeline leakage monitoring (PLM) in Tanzania. Specific objectives identified factors affecting the adoption of I4.0 technologies in the O&G PLM, evaluated the maturity of I4.0 within the industry, and proposed strategies to enhance the adoption of I4.0 technologies for PLM. A mixed-methods design gathered qualitative and quantitative data. One hundred and seven (107) experts purposively selected were engaged in exploring the applicability of I4.0 technologies. IBM SPSS 26 and AMOS 23 software analysed the gathered data. The analysis revealed six pillars of I4.0 technologies applicable for monitoring O&G pipelines. Those pillars included autonomous robots, augmented reality, additive manufacturing, the Internet of Things, cloud computing and artificial intelligence. The O&G pipeline's maturity level was 3.1, indicating that the industry has begun integrating some I4.0 technologies into pipeline monitoring or leakage detection. Strategies obtained through experts' responses and 80–20 % analysis that tackle technological, financial, regulatory, and psychological constraints were proposed to enhance I4.0ʼs full adoption in PLM. Strategies developed were building international partnerships, building international cooperation, building a workforce, creating digital platforms, promoting a friendly industry culture and state support for investors. The study only identified applicable I4.0 technologies for pipeline monitoring or leakage detection. Further study can be conducted to analyse to what extent they are utilised and can be utilised in O&G PLM. Furthermore, there has been limited literature on the O&G industry; hence, further studies can explore the industry in the downstream and midstream sections.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"46 ","pages":"Article 100857"},"PeriodicalIF":10.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inland waterway autonomous transportation: System architecture, infrastructure and key technologies 内河自主运输：系统架构、基础设施和关键技术

IF 10.4 1区计算机科学

Journal of Industrial Information Integration Pub Date : 2025-04-30 DOI: 10.1016/j.jii.2025.100858

Hualong Chen , Yuanqiao Wen , Yamin Huang , Lihang Song , Zhongyi Sui

{"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":"10.1016/j.jii.2025.100858","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":10.4,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0