|本期目录/Table of Contents|

[1]左世萍,初良勇,胡美丽.大数据驱动下自动化码头资源冲突辨识[J].集美大学学报(自然科学版),2020,25(2):120-126.
　ZUO Shiping,CHU Liangyong,HU Meili.Research on Resource Conflict Identification of Automated Container Terminal Driven by Big Data[J].Journal of Jimei University,2020,25(2):120-126.
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大数据驱动下自动化码头资源冲突辨识(PDF)
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第25卷
期数:
2020年第2期
页码:
120-126
栏目:
航海技术与物流工程
出版日期:
2020-03-28

文章信息/Info

Title:
Research on Resource Conflict Identification of Automated Container Terminal Driven by Big Data
作者:
左世萍; 初良勇; 胡美丽
(集美大学航海学院,福建 厦门 361021)
Author(s):
ZUO Shiping; CHU Liangyong; HU Meili
(Navigation College,Jimei Univiersity,Xiamen 361021,China)
关键词:
大数据; 自动化; 集装箱码头; FCM算法; 物元模型
Keywords:
big data; automated; container terminal; FCM model; matter element model
分类号:
-
DOI:
-
文献标志码:
-
摘要:
为辨识自动化码头资源冲突，从而更好地管理自动化码头资源，以厦门远海自动化码头为研究对象，应用模糊聚类算法，对码头大数据进行聚类分析，得出影响码头效能因素的分类结果。利用分类结果构建熵权物元模型，对码头资源冲突进行辨识，得出自动化码头资源冲突仿真图。通过实例分析可知：自动化码头资源冲突曲线呈现“V”型特征，各类冲突因素相互交叉，末端作业的资源冲突相对显著。
Abstract:
In order to identify conflicts in sources of automated terminals，so as to better managethe distribution of such sources，Xiamen Ocean Gate Automated Terminal is taken as the research subject.The FCM algorithm is applied to clusteranalyze the big data of the terminal，and the classification results affecting the terminal efficiency factors are obtained.The classification results are used to construct anentropy weight matter element model to identify terminal resource conflicts.A simulation diagram of the automated terminal resource conflicts is carried out.The analysis of examples reveals that the automated terminal resource conflict curve presents a “V” type feature ，with various conflict factors intersecting with each other，and the resource conflict at the end of the terminal operation is relatively significant.

参考文献/References:

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相似文献/References:

[1]陈志伟,王鸿鹏.多式联运一单制大数据平台的构建[J].集美大学学报(自然科学版),2022,27(3):239.
　CHEN Zhiwei,WANG Hongpeng.Construction of Single Document Big Data Platform for Multimodal Transport Based on Blockchain Technology[J].Journal of Jimei University,2022,27(2):239.

备注/Memo

备注/Memo:
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更新日期/Last Update: 2020-05-22