为准确实现对船舶运行状态的实时监控和数据分析，及时发现潜在的问题和风险，设计船舶无线网络的节点数据采集方法。该方法以分布式追踪系统Zipkin为基础，设计无线网络节点数据采集技术框架，在该技术框架内，用户通过连接分布式追踪系统Zipkin，使用分布式追踪系统Zipkin内的传感器对船舶无线网络节点进行追踪后，对分布式追踪系统Zipkin内的传感器节点和船舶无线网络节点布局进行优化处理，再通过节点数据采集控制器从优化后的船舶无线网络节点内采集数据，同时通过Socket通信协议对节点数据进行缓存后，发送到服务器端，服务器端启动处理线程和同步线程，以广播的方式将采集到的船舶无线网络节点数据发送给用户，实现船舶无线网络的节点数据采集。实验表明，该方法具备较强的传感器节点和无线网络节点布局优化能力，可有效采集船舶无线网络节点上的信号和数据，应用性能较强。
To study the node data collection method of ship wireless network, in order to accurately achieve real-time monitoring and data analysis of ship operation status, and timely discover potential problems and risks. This method is based on the distributed tracking system Zipkin, and designs a wireless network node data collection technology framework. Within this technology framework, users connect to the distributed tracking system Zipkin, use sensors inside the distributed tracking system Zipkin to track ship wireless network nodes, optimize the layout of sensor nodes and ship wireless network nodes in the distributed tracking system Zipkin, and then collect data from the optimized ship wireless network nodes through the node data collection controller. At the same time, the node data is cached through the Socket communication protocol and sent to the server. The server starts processing and synchronization threads, and broadcasts the collected ship wireless network node data to the user, achieving the wireless network of the ship. Node data collection. The experiment shows that this method has strong optimization capabilities for sensor node and wireless network node layout, and can effectively collect signals and data on ship wireless network nodes, with strong application performance.
2024,46(11): 169-172 收稿日期：2023-11-28
DOI：10.3404/j.issn.1672-7649.2024.11.031
分类号：TP391
作者简介：刘华(1977-),男,硕士,助理工程师,研究方向为网络安全及光纤通信
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