水面无人艇危险规避方法

Risk Avoidance Methods of Unmanned Surface Vessel

随着云计算、人工智能、无线通信等技术的发展,水上安防领域也将迎来智能化的新变革。无人艇技术提供了一种智能解决方案,可以颠覆传统的海上安全监管方法。作为具有自主导航能力的水上运动平台,无人艇可以从第一角度反馈水域的真实场景,在目标水域形成移动的高密度覆盖范围,并进行巡航监督,调查取证、救生和危险管道的污染预防等,所有领域都可以发挥重要作用。海上航行的安全性对于无人艇来说非常重要。针对无人艇协同避险软件系统的需求,首先提出了无人艇协同避险软件系统的总体框架,并将总体框架划分为无人艇层、岸基层和云系统层3个层级,然后,详细设计了岸基监测软件的岸基数据处理和显示,自主导航路径规划模块;然后,建立Hadoop数据收集两层Flume架构,并基于HSTMHadoop数据存储,基于LSTM实现,以实现Hadoop风险规避预测。最后,验证了该软件系统能够满足无人艇的实际需要,从而可以协调风险规避。

With the development of cloud computing,artificial intelligence,wireless communication and other technologies,the field of water security will also usher in new intelligent changes.Unmanned vessel technology provides an intelligent solution,which can subvert the traditional maritime safety supervision method.As an autonomous navigation platform,unmanned boat can feedback the real scene of water area from the first angle,form a moving high-density coverage in the target water area,conduct cruise supervision,investigate evidence collection,rescue and pollution prevention of dangerous pipelines,etc.,all fields can play an important role.The safety of maritime navigation is very important for unmanned vessel.In order to meet the needs of the UAV collaborative risk avoidance software system,the overall framework of the UAV collaborative risk avoidance software system is proposed,and the overall framework is divided into three levels:unmanned vessel layer,shore base layer and cloud system layer.Then,the bank-based data processing and display of the shore-based monitoring software are designed in detail,and the path planning module is self navigation;then,the Hadoop data collection two-layer flume is established,the architecture is based on HSTMHadoop data storage and LSTM to realize Hadoop risk avoidance prediction.Finally,the software system can meet the actual needs of unmanned craft and thus coordinate risk avoidance.