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金属矿山 ›› 2026, Vol. 55 ›› Issue (9): 239-245.

• ·机电信息工程· • 上一篇    下一篇

基于热红外响应的煤矸智能识别方法试验研究

张 超1,2 ,刘法政1 ,刘善军2 ,杨莉娜1 ,谢子超1 ,杨 涛1 ,易文华2   

  1. 1.应急管理大学安全工程学院,河北 廊坊 065201;2.东北大学资源与土木工程学院,辽宁 沈阳 110819
  • 出版日期:2026-09-15 发布日期:2026-10-15
  • 通讯作者: 杨莉娜(1980—),女,讲师,硕士。
  • 作者简介:张 超(1978—),男,教授,博士,硕士研究生导师。
  • 基金资助:
    国家自然科学基金项目(编号:52274200);河北省教育厅项目(编号:ZC2021024)。

Experimental Study on Intelligent Identification Method of Coal and Gangue Based on Thermal Infrared Response

ZHANG Chao1,2 ,LIU Fazheng1 ,LIU Shanjun2 ,YANG Lina1 ,XIE Zichao1 ,YANG Tao1 ,YI Wenhua2   

  1. 1.School of Safety Engineering,University of Emergency Management,Langfang 065201,China; 2.School of Resources & Civil Engineering,Northeastern University,Shenyang 110819,China
  • Online:2026-09-15 Published:2026-10-15

摘要: 煤矸识别的精准性与高效性,既是煤炭清洁利用的关键支撑,也是矿井智能化建设中煤岩智能识别核 心技术的重要构成。红外热成像技术因具备识别精度高、受作业环境干扰小、操作便捷及成本低廉等突出优势,选取 东庞矿2067综采工作面烟煤与顶板砂岩煤矸样品,采用主动热激励方式获取煤与矸石的热红外响应信息,定量计算 热激励温度变化指数,从而实现二者的有效区分,并据此提出胶带运输场景下的煤矸识别方案。试验结果表明:在热 激励的升温和降温过程中,烟煤与顶板砂岩的热辐射温度变化显著,煤与矸石的红外响应特征差异明显,其中烟煤样 品的温度变化幅度显著大于砂岩;基于煤与矸石在热激励下辐射温度随时间的演变规律,引入热激励温度变化指数, 并明确了其适用条件;在采用特定热源进行主动升降温激励的试验条件下,确立了区分烟煤与顶板砂岩的判别阈值, 并通过试验予以验证;同时,针对井下光照不足、粉尘浓度较高等特殊工况,提出在运输胶带上设置净化恒温调节区、 加热区、煤矸识别监测区及分选区的系统识别方案,为矿井煤矸智能识别提供了新的技术思路。

关键词: 煤与矸石 , 智能识别 , 热红外响应 , 热激励

Abstract: The accuracy and efficiency of coal-gangue identification are not only critical supports for clean coal utiliza tion,but also key components of the core technology for intelligent coal-rock recognition in the construction of intelligent mines.Owing to the prominent advantages of infrared thermography,such as high recognition precision,low susceptibility to op erational environmental interference,simple operation,and low cost,samples of bituminous coal and roof sandstone were collect ed from the 2067 fully mechanized working face in Dongpang Mine.Active thermal excitation was adopted to obtain the thermal infrared response information of coal and gangue,and the thermal excitation temperature change index was quantitatively calcu lated to achieve effective discrimination between the two materials.Accordingly,a coal-gangue identification method for belt conveyor transportation was proposed.The experimental results indicate that during both heating and cooling stages of thermal excitation,the thermal radiation temperatures of bituminous coal and roof sandstone exhibit significant variations,and the infra red response characteristics of coal and gangue show distinct differences,with the temperature variation amplitude of bituminous coal being notably larger than that of sandstone.Based on the evolution of radiation temperature with time under thermal excita tion,the thermal excitation temperature change index was introduced,and its applicable conditions were clarified.Under the ex perimental conditions employing a specific heat source for active heating and cooling excitation,the threshold for distinguishing bituminous coal from roof sandstone was established and verified experimentally.Meanwhile,in view of the low illumination and high dust concentration in underground mines,a coal-gangue recognition scheme was proposed,which involves arranging a puri fication constant-temperature regulation zone,a heating zone,a coal-gangue recognition monitoring zone,and a sorting zone on the belt conveyor.This provides a new technical approach for intelligent coal-gangue recognition in mining operations.

Key words: coal and gangue,intelligent identification,thermal infrared response,thermal excitation

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