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旋翼无人机航空γ能谱测量在异常查证中的应用 被引量:2

The application of the rotor UAV gamma-ray spectrometry survey to anomaly inspection
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摘要 针对小面积、大比例尺铀资源勘查工作需求,设计了基于碘化铯(CSI)晶体的航空γ能谱探测器,与SY-120H无人机集成了旋翼无人机航空γ能谱测量系统,晶体分辨率优于10%,能谱峰漂优于±1道,采样频率1 Hz。该系统在石家庄航放标准模型和黄壁庄动态带上完成了系统校准,获取了一套标定参数;在二连浩特地区开展试验飞行,飞行高度约50 m,飞行速度约27.57 km/h,快速圈定了HF-08和HF-09异常的具体位置和异常范围。试验结果表明:无人机航空γ能谱测量得到的K、U、Th含量结果与地面测量结果基本一致,可为地面不易开展工作地区的地质勘查和放射性环境评价提供一种快速高效的勘查技术装备。 Aiming at the needs of small-area and large-scale uranium resource exploration,an aerospace gamma energy spectrum detector based on caesium iodide(CSI)crystals is designed.The rotor drone aerial gamma energy spectrum measurement system is integrated with the SY-120H drone.The crystal resolution is better than 10%,the energy spectrum peak drift is better than±1,and the sampling frequency is 1 Hz.The system has completed the system calibration on the Shijiazhuang aerial amplifier standard model and the Huangbizhuang dynamic belt,and obtained a set of calibration parameters.A test flight was carried out in the Erlianhot area,with an altitude of about 50 m and a flight speed of about 27.57 km/h,quickly encircling the specific anomalies of HF-08 and HF-09.Location and anomaly range.The test results show that the K,U and Th content measurements obtained by UAV aeronautical gamma energy spectrum measurements are basically consistent with the ground measurement results,which can provide a fast and efficient exploration technical equipment for geological exploration and radioactive environmental assessment in areas where the ground is not easy to work.
作者 李艺舟 李江坤 吴雪 刘士凯 高国林 LI Yizhou;LI Jiangkun;WU Xue;LIU Shikai;GAO Guolin(Aerial Survey and Remote Sensing Center of Nuclear Industry,Shijiazhuang 050002,Hebei,China;Geophysical Exploration Technology Center of Uranium Resources of CNNC(Key Laboratory),Shijiazhuang 050002,Hebei,China;Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology,Shijiazhuang 050002,Hebei,China)
出处 《矿产勘查》 2023年第2期237-243,共7页 Mineral Exploration
基金 中国核工业地质局科研项目(201927-3、202141-4)资助。
关键词 旋翼无人机 航空γ能谱 异常查证 应用 rotor UAV airborne gamma-ray spectrometry anomaly inspection application
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