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,人工直接进入进行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。本文提出了一种搭载X、γ辐射剂量率模块的智能移动小车,旨在通过自动化、智能化的方式解决上述问题。该移动小车集成了先进的核辐射传感器、高精度三维激光雷达、单目或多目相机以及智能运动控制系统,能够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。为了验证该方法的有效性和可行性,在模拟的核辐射环境及实际核工业现场进行了测试。通过将测量场的数据与高精度仿真模型进行对比分析,不仅确认了辐射剂量测量的准确性,还展示了该方法在复杂辐射环境中的稳定性与可靠性。

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    In view of the extremely complex environment of the nuclear accident site and the high radiation level, manual direct entry for monitoring and inspection has great safety risks, and it is difficult to meet the actual needs in terms of efficiency and accuracy. In this paper, an intelligent mobile car equipped with X and γ radiation dose rate module is proposed to solve the above problems in an automatic and intelligent way. The mobile vehicle integrates advanced nuclear radiation sensors, high-precision three-dimensional Lidar, monocular or multi-ocular cameras and intelligent motion control systems, which can autonomously navigate or remotely operate in the complex and changeable nuclear radiation environment to achieve real-time and accurate measurement of nuclear radiation dose rate. By integrating these data, the vehicle can dynamically build and refresh the radiation dose point cloud map in real time, providing workers with intuitive and comprehensive radiation environment distribution information. In order to verify the effectiveness and feasibility of this method, tests were carried out in simulated nuclear radiation environment and real nuclear industry site. By comparing the data of measurement field with the high-precision simulation model, not only the accuracy of radiation dose measurement is confirmed, but also the stability and reliability of this method in the complex radiation environment is demonstrated.

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