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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

吕文豹 朱启辉 王传真 陈伟 刘海增

矿产保护与利用2026,Vol.46Issue(2):64-72,9.
矿产保护与利用2026,Vol.46Issue(2):64-72,9.DOI:10.13779/j.cnki.issn1001-0076.2026.02.003

等厚度煤层灰分的低能γ射线在线检测理论与方法研究

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

吕文豹 1朱启辉 1王传真 1陈伟 2刘海增1

作者信息

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

摘要

Abstract

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.

关键词

灰分/质量厚度/低能r射线/等厚度煤层/灰分仪

Key words

ash content/mass thickness/low-energy gamma rays/equal thickness coal seam/ash monitor

分类

矿业与冶金

引用本文复制引用

吕文豹,朱启辉,王传真,陈伟,刘海增..等厚度煤层灰分的低能γ射线在线检测理论与方法研究[J].矿产保护与利用,2026,46(2):64-72,9.

基金项目

国家自然科学基金面上项目(52574308) (52574308)

安徽省高校协同创新项目(GXXT-2023-104) (GXXT-2023-104)

安徽省自然科学基金面上项目2508085ME134. ()

矿产保护与利用

1001-0076

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