AI+与多源异构数据驱动的航运数字化建设研究——以“船视宝”系统为例  

Research on AI+and Multi-Source Heterogeneous Data-Driven Digitalization in Shipping Industry:Taking"Vessel Value Visualization"System as an Example

作　　者：屠恩美 韩懿 王敏 尚赞娣[2] 叶劲松[2] 刘晗 Tu Enmei;Han Yi;Wang Min;Shang Zandi;Ye Jinsong;Liu Han

机构地区：[1]中远海运科技股份有限公司 [2]交通运输部科学研究院

出　　处：《交通与港航》2025年第1期26-30,共5页Communication & Shipping

摘　　要：航运业属于传统行业,随着全球贸易增长推动海运货运量攀升,以及地缘政治、地区冲突、气候变化等因素影响,航运相关企业面临着产业转型升级、低碳减排、精细管理等新挑战。大数据与人工智能技术的发展为航运业带来了新的机遇,以中远海运科技的“船视宝”为案例,研究AI+与多源异构数据驱动的航运数字化系统建设技术,深入剖析了“船视宝”系统架构设计、技术体系和应用范围,同时通过对典型赋能案例的进一步研究来说明数字化系统如何赋能航运业发展,并有效解决传统业务场景中的新挑战。The shipping industry is a traditional sector.With the growth of global trade driving an increase in maritime freight volumes,as well as factors such as geopolitical changes,regional conflicts,and climate change,shippingrelated enterprises are facing new challenges such as industrial transformation and upgrading,low-carbon emission reduction,and refined management.The development of big data and artificial intelligence technologies has brought new opportunities to the shipping industry.This article uses COSCO SHIPPING Technology's"Vessel Value Visualization"as a case study to investigate the technology for constructing digital shipping systems driven by AI+and multisource heterogeneous data.It delves into the system architecture design,technical framework,and application scope of"Vessel Value Visualization".Additionally,by further studying typical empowerment cases,it illustrates how digital systems empower the development of the shipping industry and effectively address new challenges in traditional business scenarios.

关 键 词：人工智能+(AI+) 多源异构数据融合 航运数字化 “船视宝”系统 航运大数据分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U69-39[自动化与计算机技术—控制科学与工程]