为保障无人船顺利执行勘测、投放等任务，提出无人船远程遥控系统运行状态实时在线监测方法。该方法利用感知层内温度传感器、气体传感器、柴油机监测仪、姿态传感器等采集无人船远程遥控系统运行状态实时数据后，通过感知节点控制器与网络层感知节点控制器连接，将无人船远程遥控系统运行状态实时数据传输到ZigBee网络内，再通过该网络将其传输到运算层内，使用运行状态监测模块和异常预警模块获得无人船远程遥控系统运行状态实时在线监测结果与异常结果，并将结果传输到应用层内，应用层通过可视化监测、异常预警展示等模块实现用户的人机交互。实验表明：该方法不仅可有效检测无人船远程操控系统的运行状态，还可对异常状态进行预警，且监测与预警的实时性较好。
A real-time online monitoring method for the operation status of unmanned ship remote control system is proposed to ensure the smooth execution of survey, deployment and other tasks. This method utilizes temperature sensors, gas sensors, diesel engine monitors, attitude sensors, and other sensors in the perception layer to collect real-time data on the operation status of the unmanned ship remote control system. The real-time data on the operation status of the unmanned ship remote control system is transmitted to the ZigBee network through the connection between the perception node controller and the network layer perception node controller, and then transmitted to the operation layer through the network, Use the operation status monitoring module and abnormal warning module to obtain real-time online monitoring results and abnormal results of the unmanned ship remote control system's operation status, and then transmit the results to the application layer. The application layer achieves user human-machine interaction through modules such as visual monitoring and abnormal warning display. The experiment shows that this method can not only effectively detect the operating status of unmanned ship remote control system, but also provide early warning for abnormal states, and the real-time monitoring and early warning is good.
2023,45(17): 83-86 收稿日期：2023-02-12
DOI：10.3404/j.issn.1672-7649.2023.17.017
分类号：TP391
基金项目：湖北省教育厅科研计划指导性项目（B2021246）
作者简介：李辉燕(1980-),女,讲师,研究方向为网络工程、大数据及数据挖掘
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