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等厚度煤层灰分的低能γ射线在线检测理论与方法研究OA

Theory and Method of Real-time Detection of Ash Content in Coal Seams of Equal Thickness Using Low-energy Gamma Rays

中文摘要英文摘要

针对质量厚度波动导致双能量 γ射线在线灰分仪检测数据波动性大、测量误差显著等问题,提出一种基于低能 γ射线的等厚度煤层灰分测量装置及方法.该装置通过固定煤层与探测器表面的最佳距离,恒定被测煤样的煤层厚度,同时实现被测煤样的粒度细化与粒径分布窄化,确保煤流表面平整性、密实度稳定性及水分一致性,为低能 γ射线灰分检测构建了最优测量环境.以入洗孙疃-童亭及许疃-临肥重介精煤为研究对象,同步采样化验结果表明:两组煤样的化验灰分标准差分别为 0.442和 0.353,对应测量灰分标准差显著降低至 0.337和 0.206;以测量值与化验值的绝对误差均值作为评价指标,两组煤样的平均误差分别为 0.32%和 0.31%,均控制在 0.50%的允许误差范围内.经参数标定与实验验证,该低能 γ射线等厚度煤层测量方法展现出较高的灰分检测稳定性与准确性.

In response to significant data fluctuations and measurement errors in dual-energy gamma-ray online ash monitors caused by variations in mass thickness,this paper proposes an ash measurement device and method based on low-energy gamma rays with constant coal seam thickness.The device maintains the optimal distance between the coal seam and the detector surface and ensures a constant thickness of the coal sample.It simultaneously achieves refined particle sizing and a narrower particle size dis-tribution,ensuring a flat coal flow surface,stable compactness,and consistent moisture content.This establishes an optimal measurement environment for low-energy gamma-ray ash detection.Experimental results with heavy medium concentrate coal from the Sunyuan-Tongting and Xutuan-Linfei washing plants showed that the standard deviations of the measured ash content were significantly reduced to 0.337 and 0.206,respectively,compared to the corresponding laboratory-analyzed standard deviations of 0.442 and 0.353.Using the mean absolute error between measured and laboratory values as the evaluation metric,the average errors for the two coal samples were 0.32%and 0.31%,respectively,both within the permissible error limit of 0.50%.Following parameter calibration and experimental verification,this low-energy gamma-ray constant-thickness measurement method demonstrates high stability and accuracy in ash content detection.

吕文豹;朱启辉;王传真;陈伟;刘海增

安徽理工大学 材料科学与工程学院,安徽 淮南 232001安徽理工大学 材料科学与工程学院,安徽 淮南 232001安徽理工大学 材料科学与工程学院,安徽 淮南 232001淮北矿业(集团)有限责任公司 涡北选煤厂,安徽 亳州 233611安徽理工大学 材料科学与工程学院,安徽 淮南 232001

矿业与冶金

灰分质量厚度低能r射线等厚度煤层灰分仪

ash contentmass thicknesslow-energy gamma raysequal thickness coal seamash monitor

《矿产保护与利用》 2026 (2)

64-72,9

国家自然科学基金面上项目(52574308)安徽省高校协同创新项目(GXXT-2023-104)安徽省自然科学基金面上项目2508085ME134.

10.13779/j.cnki.issn1001-0076.2026.02.003

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