搭载辐射剂量率小车实现辐射点云生成
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中国兵器装备集团自动化研究所有限公司

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Radiation Point Cloud Generation is Realized by Carrying Radiation dose Rate Car
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    摘要:

    针对核事故现场环境极端复杂且辐射水平高,人工监测与巡检存在极大的安全隐患,同时在效率和精确度上也难以满足实际需求等问题,设计一种搭载X、γ辐射剂量率模块的智能移动小车。该移动小车集成了先进的核辐射传感器、高精度3维激光雷达、单目或多目相机以及智能运动控制系统,能在复杂多变的核辐射环境中自主导航或远程遥控操作,实现对核辐射剂量率的实时、精准测量。通过整合这些数据,小车能够动态构建并实时刷新辐射剂量点云图,为工作人员提供直观、全面的辐射环境分布信息。在模拟的核辐射环境及实际核工业现场进行测试,验证了该方法的有效性和可行性。将测量场的数据与高精度仿真模型进行对比分析的结果表明:该方法能准确测量辐射剂量,且在复杂辐射环境中具有稳定性与可靠性。

    Abstract:

    In response to the complex and high radiation level environment at a nuclear accident site, as well as the safety risks and inefficiency of manual monitoring and inspection, a smart mobile robot equipped with X and γ radiation dose rate modules is designed. The mobile robot integrates advanced nuclear radiation sensors, high-precision 3D laser radar, monocular or multifocal cameras, and intelligent motion control systems, enabling autonomous navigation or remote operation in complex and variable nuclear radiation environments. It can measure the real-time and precise radiation dose rate. By integrating these data, the robot can dynamically build and continuously update the radiation dose point cloud map, providing workers with a comprehensive and intuitive distribution of radiation environment information. The method was tested in simulated nuclear radiation environments and actual nuclear industrial sites, verifying its effectiveness and feasibility. The comparison of measurement field data with high-precision simulation models indicates that the method can accurately measure radiation doses and have stability and reliability in complex radiation environments.

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  • 收稿日期:2024-09-06
  • 最后修改日期:2024-10-17
  • 录用日期:2024-09-24
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