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作 者:肖宇 乐会 姜允旦 瞿凯 车向东 吴琛 XIAO Yu;LE Hui;JIANG Yun-Dan;QU Kai;CCHE Xiang-Dong;WU Chen(Xining Customs,Xining 810007;Ningbo Customs,Ningbo 315000)
机构地区:[1]西宁海关,西宁810007 [2]宁波海关,宁波315000
出 处:《中国口岸科学技术》2023年第10期71-78,共8页China Port Science and Technology
摘 要:为进一步改善海关物流监管智能化应用效能,提高系统预测能力和联动分析水平,本文从数字孪生技术基本概念入手,结合海关物流监管实际,研究并提出了数字孪生技术应用于海关物流监管中的系统布局和实现路径。以具体应用场景为例,探寻比较此项技术在风险布控、统计预测、方案优化等方面的优势,思考该技术在提高海关物流监管领域趋势预测、精准研判、隐患防控等方面的作用,积极探索智慧海关物流建设新方向。In order to further improve the efficiency of the intelligent application of Customs logistics supervision and enhance the system's forecasting capability and linkage analysis,this paper started with the basic concept of digital twin technology and combined the reality of Customs logistics supervision to study and proposed the system layout and implementation path of digital twin technology applied in Customs logistics supervision.Taking specific application scenarios as examples,explored and compared their advantages in risk control,statistical prediction,scheme optimization,etc.Thought about their role in improving trend prediction,accurate research and judgement,prevention of hidden dangers in the field of Customs logistics supervision,and actively explored new directions for Smart Customs logistics construction.
分 类 号:F752.5[经济管理—国际贸易] F252[经济管理—产业经济] TP399[自动化与计算机技术—计算机应用技术]
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