测绘通报 ›› 2021, Vol. 0 ›› Issue (12): 140-144.doi: 10.13474/j.cnki.11-2246.2021.389

• 技术交流 • 上一篇    下一篇

面向大范围实时数据的动态船舶矢量标绘方法

张英栋1,2, 耿增涛3, 王海银1,2, 乔新1,2, 周圣川1,2   

  1. 1. 青岛市勘察测绘研究院, 山东 青岛 266000;
    2. 海陆地理信息集成与应用国家地方联合工程研究中心(青岛), 山东 青岛 266000;
    3. 青岛港科技有限公司, 山东 青岛 266000
  • 收稿日期:2020-12-23 发布日期:2021-12-30
  • 作者简介:张英栋(1990-),男,硕士,工程师,研究方向为地理空间数据可视化。E-mail:zhan1990312@foxmail.com

Dynamic ship vector plotting method for large-scale real-time data

ZHANG Yingdong1,2, GENG Zengtao3, WANG Haiyin1,2, QIAO Xin1,2, ZHOU Shengchuan1,2   

  1. 1. Qingdao Surveying & Mapping Institute, Qingdao 266000, China;
    2. National-local Joint Engineering Research Center of Integration and Application of Marine-terrestrial Geographical Information(Qingdao), Qingdao 266000, China;
    3. Qingdao Port Technology Co., Ltd., Qingdao 266000, China
  • Received:2020-12-23 Published:2021-12-30

摘要: 船舶可视化和分析在现代航海管理领域中发挥着重要作用。鉴于目前主流的船舶符号栅格表达方式存在失真、不易交互等弊端,本文提出一种面向大范围船舶实时动态数据的矢量标绘方法。基于时空GIS技术实时接入船舶数据流,创建一个不断更新的船舶要素服务;在前端通过WebSocket建立与服务间的双向通信,低时延获取最新船舶定位信息;并结合多空间尺度表达规则和标绘算法进行符号重绘,实现对船舶位置、尺寸、航向在不同显示级别下的精确表达。测试证明,该方法可以有效支撑较大地理范围内船舶数据的动态可视化,满足船舶避碰、海事管理和应用分析的需要。

关键词: 船舶可视化, 实时数据, 矢量标绘, 时空GIS, 符号表达规则

Abstract: Ship visualization and analysis play an important role in the field of modern navigation management. In view of the disadvantages of the current mainstream ship symbol expression, such as distortion and difficulty in interaction. This paper proposes a vector plotting method for real-time dynamic data of ships in large space range. We implement real-time access to ship data streams for creating a continuously updated ship feature service based on spatio-temporal GIS technology. The front-end program establishes two-way communication with the service through WebSocket, obtains the latest ship positioning information with low latency, and combines multi-spatial scale expression rules and plotting algorithms for symbol redrawing to achieve accurate expression of ship position, size, and heading under different display levels. Tests have proved that this method can effectively support the dynamic visualization of ship data in a large geographic area and meet the needs of ship collision avoidance, maritime management and application analysis.

Key words: ship visualization, real-time data, vector plotting, spatio-temporal GIS, symbolic expression rules

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