一种基于AI 机器人的海底探测网阵
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A Submarine Detection Network Array Based on AI Robot
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    摘要:

    为获取海域海底基础目标和人设目标数据并进行特征捕捉与判读识别,研发一种海底探测系统。利用北 斗定位功能在预定海域布设携带特定探测传感的潜航机器人,按照一定规律形成探测网阵,根据传感器的不同,离 线或在线获取海域的水文地貌、过往船只、渔业资源及海底矿藏等基础数据,采用卡尔曼滤波动态估计后传输到控 制中心,通过大数据分析和数据挖掘等信号处理过程,进行态势判读、数据比对和目标识别,监视当前海域水面或 水下的航行、渔业、水文、矿藏等态势。视景仿真的结果表明:系统的工作过程和数据处理方式能够满足数据采集、 处理和工作需求,可为开展海域长期态势分析提供可靠的数据支撑。

    Abstract:

    For acquiring the basic targets of marine area and seabed and human-designed targets, and carrying out feature capture, interpretation and identification, research on submarine detection system. Use Beidou location function to deploy submarine robot with specific detection sensor in reserve sea area. A detect network matrix is formed based on principle, depending on different sensors data of waters hydrology and geomorphology, passing vessels, fishery resources, sea minerals is achieved by offline or online, and data is dealt with Kalman filtering and transmitted to the control center. Through big data analysis and data mining, carry out situational interpretation, data comparison and target recognition, monitor situations of current sea surface or underwater navigation, fisheries, hydrological, mineral. The visual simulation results show that the system work process and data processing mode can meet the requirements of data acquisition, processing and work, which provides data support for the long-term situation analysis of the sea area.

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田华明.一种基于AI 机器人的海底探测网阵[J].,2021,40(8).

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  • 收稿日期:2021-05-01
  • 最后修改日期:2021-06-10
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  • 在线发布日期: 2021-08-17
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