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Design of Gamma Array Beneficiation Detection System and Its Consistency Correction Method
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Yuantong YAN1, 3, Dongyang WANG1, 3, Renbo WANG1, 2, 3, Qi LIU1, 3, Huan QIU1, 3, Xiongjie ZHANG1, 2, 3
Uranium Mining and Metallurgy | 2026, 45(3) : 1 - 8
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Uranium Mining and Metallurgy | 2026, 45(3): 1-8
• Cover Article •
Design of Gamma Array Beneficiation Detection System and Its Consistency Correction Method
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Yuantong YAN1, 3, Dongyang WANG1, 3, Renbo WANG1, 2, 3, Qi LIU1, 3, Huan QIU1, 3, Xiongjie ZHANG1, 2, 3
Affiliations
  • 1.Engineering Research Center for Nuclear Technology Application, Ministry of Education, East China University of Technology, Nanchang 330013, China
  • 2.National Key Laboratory of Uranium Resources Exploration and Nuclear Remote Sensing, East China University of Technology, Nanchang 330013, China
  • 3.Jiangxi Provincial Key Laboratory of Nuclear Physics and Nuclear Technology, East China University of Technology, Nanchang 330013, China
Published: 2026-08-20 doi: 10.13426/j.cnki.yky.2026.01.13
Outline
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To enhance the separation efficiency and accuracy of medium and low-grade uranium ores, we developed a gamma array beneficiation detection system based on 64 NaI detectors and established a reliable consistency correction method. This system adopts an 8-column × 8-row array layout, integrating a digital single-channel pulse amplitude analyzer, an FPGA data processing module and an STM32 control module, which can achieve synchronous acquisition and real-time processing of gamma-ray signals from uranium ore conveyed by belts. To address the problem of count rate deviation caused by multi-detector process differences, a mathematical model for count rate consistency analysis was constructed, and one-way analysis of variance was used for consistency evaluation. The test results show that before calibration, the F value among the detector groups reached 3 654.41, and the P value was 0, significantly deviating from the consistency standard. Then, the t-test method was adopted to locate the abnormal detectors. After calibrating the abnormal detectors, the F value dropped to 0.64, P=0.98>0.05, and there was no significant difference in the counting rates of each detector. This system effectively enhances the accuracy and stability of signal acquisition, providing efficient technical support for the pre-beneficiation of low-grade uranium ore before grinding. It has significant engineering value for expanding the utilization boundaries of mineral resources and reducing subsequent processing costs.

preliminary beneficiation of uranium ore  /  radioactive sorting  /  gamma ray sorting  /  array detection system  /  consistency calibration  /  NaI detector  /  one-way analysis of variance  /  t-test
严远桐, 王冬阳, 王仁波, 刘琦, 邱欢, 张雄杰. 伽马阵列选矿探测系统设计及其一致性校正方法. 铀矿冶, 2026 , 45 (3) : 1 -8 . DOI: 10.13426/j.cnki.yky.2026.01.13
Yuantong YAN, Dongyang WANG, Renbo WANG, Qi LIU, Huan QIU, Xiongjie ZHANG. Design of Gamma Array Beneficiation Detection System and Its Consistency Correction Method[J]. Uranium Mining and Metallurgy, 2026 , 45 (3) : 1 -8 . DOI: 10.13426/j.cnki.yky.2026.01.13
Year 2026 volume 45 Issue 3
176
40
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Article Info
doi: 10.13426/j.cnki.yky.2026.01.13
  • Receive Date:2026-01-19
  • Online Date:2026-09-28
  • Published:2026-08-20
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History
  • Received:2026-01-19
  • Revised:2026-01-30
Funding
Affiliations
    1.Engineering Research Center for Nuclear Technology Application, Ministry of Education, East China University of Technology, Nanchang 330013, China
    2.National Key Laboratory of Uranium Resources Exploration and Nuclear Remote Sensing, East China University of Technology, Nanchang 330013, China
    3.Jiangxi Provincial Key Laboratory of Nuclear Physics and Nuclear Technology, East China University of Technology, Nanchang 330013, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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