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远洋船舶运输大数据快速检索算法

Design of fast search algorithm for large data in ocean shipping

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【作者】 李凤云

【Author】 LI Feng-yun;Shandong Jiaotong University;

【机构】 山东交通学院

【摘要】 传统船舶数据检索算法存在关键字索引连接速率过慢、单次检索数据总量过低等弊端。为解决上述问题,设计新型远洋船舶运输大数据快速检索算法。通过关键字索引结构建立、数据查询节点确定2个步骤,完成远洋船舶运输大数据的索引与查询。在此基础上,通过远洋船舶运输数据集创建、待检索数据捕获处理、减速流程完善3个步骤,实现新型快速检索算法的顺利运行。对比实验结果表明,与传统船舶数据检索算法相比,应用新型远洋船舶运输大数据快速检索算法后,关键字索引连接速率明显提升、单次检索数据总量最大值超过9.0×10~9 T。

【Abstract】 Traditional ship data retrieval algorithms have some drawbacks,such as too slow connection speed of keyword index and too low total amount of single retrieval data.In order to solve these problems,a new fast search algorithm for ocean shipping data is designed.Through the establishment of keyword index structure and the determination of data query nodes,the index and query of large data of ocean shipping can be completed.On this basis,the new fast retrieval algorithm can run smoothly through three steps:the creation of ocean shipping data set,the capture and processing of data to be retrieved,and the improvement of deceleration process.The experimental results show that,compared with the traditional ship data retrieval algorithm,the new fast search algorithm for large data of ocean shipping improves the speed of keyword index connection significantly,and the maximum value of single retrieval data is more than 9.0×10~9 T.

  • 【文献出处】 舰船科学技术 ,Ship Science and Technology , 编辑部邮箱 ,2019年02期
  • 【分类号】TP311.13
  • 【被引频次】1
  • 【下载频次】71
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