Article(id=1311360815018640245, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311360814477575028, articleNumber=null, orderNo=null, doi=10.13426/j.cnki.yky.2026.01.13, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1768752000000, receivedDateStr=2026-01-19, revisedDate=1769702400000, revisedDateStr=2026-01-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1790582382205, onlineDateStr=2026-09-28, pubDate=1787155200000, pubDateStr=2026-08-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790582382205, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790582382205, creator=13701087609, updateTime=1790582382205, updator=13701087609, issue=Issue{id=1311360814477575028, tenantId=1146029695717560320, journalId=1146123346816638986, year='2026', volume='45', issue='3', pageStart='1', pageEnd='172', issueExtLink='null', onlineDate='null', pubDate='1787155200000', pubDateStr='2026-08-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790582382077, creator='13701087609', updateTime=1790583873531, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311367070160355561, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311360814477575028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311367070160355562, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311360814477575028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1, endPage=8, ext={EN=ArticleExt(id=1311360815333213046, articleId=1311360815018640245, tenantId=1146029695717560320, journalId=1146123346816638986, language=EN, title=Design of Gamma Array Beneficiation Detection System and Its Consistency Correction Method, columnId=1179340519550370065, journalTitle=Uranium Mining and Metallurgy, columnName=Cover Article, runingTitle=null, highlight=null, articleAbstract=

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.

, authors=Yuantong YAN1, 3, Dongyang WANG1, 3, Renbo WANG1, 2, 3, Qi LIU1, 3, Huan QIU1, 3, Xiongjie ZHANG1, 2, 3, authorsList=Yuantong YAN, Dongyang WANG, Renbo WANG, Qi LIU, Huan QIU, Xiongjie ZHANG, authorCompany=null, correspAuthors=Xiongjie ZHANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311360817195484024, articleId=1311360815018640245, tenantId=1146029695717560320, journalId=1146123346816638986, language=CN, title=伽马阵列选矿探测系统设计及其一致性校正方法, columnId=1171165155376275591, journalTitle=铀矿冶, columnName=封面文章, runingTitle=null, highlight=null, articleAbstract=

为提高中低品位铀矿石的分选效率与精度,基于64个NaI探测器研发了伽马阵列选矿探测系统,并建立了可靠的一致性校正方法。该系统采用8列×8行阵列布局,集成数字化单道脉冲幅度分析器、FPGA数据处理模块与STM32控制模块,可实现对皮带输送铀矿石伽马射线信号的同步采集与实时处理。针对多探测器工艺差异可能导致的计数率偏差问题,构建了计数率一致性分析数学模型,采用单因素方差分析进行一致性评价。测试结果显示,校正前探测器组间F值达3 654.41,P=0,显著偏离一致性标准;采用t检验定位异常探测器,并对异常探测器校正后,F值降至0.64,P=0.98>0.05,各探测器计数率无显著差异。该系统有效提升了伽马射线信号采集的准确性与稳定性,为低品位铀矿石入磨前的预选提供了技术支撑,对拓展矿产资源利用边界、降低后续加工成本具有重要工程价值。

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张雄杰
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2.东华理工大学铀资源探采与核遥感全国重点实验室,江西 南昌 330013
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伽马阵列选矿探测系统设计及其一致性校正方法
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严远桐 1, 3 , 王冬阳 1, 3 , 王仁波 1, 2, 3 , 刘琦 1, 3 , 邱欢 1, 3 , 张雄杰 1, 2, 3
铀矿冶 | 封面文章 2026,45(3): 1-8
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伽马阵列选矿探测系统设计及其一致性校正方法
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2.National Key Laboratory of Uranium Resources Exploration and Nuclear Remote Sensing, East China University of Technology, Nanchang 330013, China
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2.东华理工大学铀资源探采与核遥感全国重点实验室,江西 南昌 330013
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严远桐1, 3, 王冬阳1, 3, 王仁波1, 2, 3, 刘琦1, 3, 邱欢1, 3, 张雄杰1, 2, 3
作者信息
  • 1.东华理工大学核技术应用教育部工程研究中心,江西 南昌 330013
  • 2.东华理工大学铀资源探采与核遥感全国重点实验室,江西 南昌 330013
  • 3.东华理工大学核物理与核技术江西省重点实验室,江西 南昌 330013
通讯作者:
张雄杰
Design of Gamma Array Beneficiation Detection System and Its Consistency Correction Method
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
出版时间: 2026-08-20 doi: 10.13426/j.cnki.yky.2026.01.13
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为提高中低品位铀矿石的分选效率与精度,基于64个NaI探测器研发了伽马阵列选矿探测系统,并建立了可靠的一致性校正方法。该系统采用8列×8行阵列布局,集成数字化单道脉冲幅度分析器、FPGA数据处理模块与STM32控制模块,可实现对皮带输送铀矿石伽马射线信号的同步采集与实时处理。针对多探测器工艺差异可能导致的计数率偏差问题,构建了计数率一致性分析数学模型,采用单因素方差分析进行一致性评价。测试结果显示,校正前探测器组间F值达3 654.41,P=0,显著偏离一致性标准;采用t检验定位异常探测器,并对异常探测器校正后,F值降至0.64,P=0.98>0.05,各探测器计数率无显著差异。该系统有效提升了伽马射线信号采集的准确性与稳定性,为低品位铀矿石入磨前的预选提供了技术支撑,对拓展矿产资源利用边界、降低后续加工成本具有重要工程价值。

铀矿预选  /  放射性分选  /  γ射线分选  /  阵列探测系统  /  一致性校正  /  NaI探测器  /  单因素方差分析  /  t检验

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
  • 国家自然科学基金项目(U22B2077)
  • 国家自然科学基金项目(42564010)
  • 地球深部探测与矿产资源勘查国家科技重大专项(2024ZD1003004)
  • 江西省重大科技研发专项(20224AAC01012)
  • 东华理工大学核地学部“揭榜挂帅”项目(2024HDX03)
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2026年第45卷第3期
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doi: 10.13426/j.cnki.yky.2026.01.13
  • 接收时间:2026-01-19
  • 首发时间:2026-09-28
  • 出版时间:2026-08-20
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出版历史
  • 收稿日期:2026-01-19
  • 修回日期:2026-01-30
基金
国家自然科学基金项目(U22B2077)
国家自然科学基金项目(42564010)
地球深部探测与矿产资源勘查国家科技重大专项(2024ZD1003004)
江西省重大科技研发专项(20224AAC01012)
东华理工大学核地学部“揭榜挂帅”项目(2024HDX03)
作者信息
    1.东华理工大学核技术应用教育部工程研究中心,江西 南昌 330013
    2.东华理工大学铀资源探采与核遥感全国重点实验室,江西 南昌 330013
    3.东华理工大学核物理与核技术江西省重点实验室,江西 南昌 330013

通讯作者:

张雄杰
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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
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