TwinPort: 5G无人机辅助数据收集与智能海港的数字双胞胎
Yagmur Yigit1, Long D Nguyen2, Mehmet Ozdem3
1Department of Computer Engineering, Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey.
智能港口利用数字双胞胎 (DT) 技术和5G网络与无人机数据用于精确的船舶导航. 这种TwinPort系统通过优化燃料消耗来增强港口管理,降低成本并保护环境.
科学领域:
- 海洋技术的海洋技术
- 港口自动化服务提供商
- 智能运输系统 智能运输系统
背景情况:
- 港口越来越多地采用自动化来提高生产率和管理不断增长的货物量.
- 拥堵和增加的货物需要精确的导航,以防止碰撞和确保运营安全.
- 数字双胞胎 (DT) 技术和5G网络为先进港口运营提供了潜在的解决方案.
研究的目的:
- 为智能海港提出一个全面的港口管理系统,使用数字双胞胎技术和无人机辅助数据收集.
- 开发一个推引擎,用于准确的船舶导航和智能港口内对接.
- 评估拟议系统在改善轨迹性能和运营效率方面的有效性.
主要方法:
- 开发TwinPort数字双胞胎模型,集成无人机辅助数据收集.
- 实施用于船舶机动和对接指导的推引擎.
- 在智能端口环境中对系统性能进行实验验证.
主要成果:
- 双门系统展示了改进的轨迹性能,紧密遵循最短的理想路径.
- 该解决方案大大降低了与港口运营相关的财务成本.
- 通过减少燃料消耗来加强环境保护.
结论:
- 拟议的TwinPort系统为全面的智能端口管理提供了可行的解决方案.
- 结合数字双胞胎技术,5G网络和无人机数据,可以实现精确的船舶导航.
- 该系统有助于海洋部门的经济效益和环境可持续性.
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