基于软件无线电技术的煤种分类  

Coal classification based on software radio technology

作　　者：刘丹丹 李正 李德文 戴乾奇 郭胜均 汤春瑞 Liu Dandan;Li Zheng;Li Dewen;Dai Qianqi;Guo Shengjun;Tang Chunrui(School of Electrical&Control Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China;China Coal Technology Engineering Group Chongqing Research Institute,Chongqing 400037,China;School of Information&Communication Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]黑龙江科技大学电气与控制工程学院,哈尔滨150022 [2]中煤科工集团重庆研究院有限公司,重庆400037 [3]哈尔滨工程大学信息与通信工程学院,哈尔滨150001

出　　处：《黑龙江科技大学学报》2024年第5期787-793,共7页Journal of Heilongjiang University of Science And Technology

基　　金：国家重点研发计划项目(2020YFF01015000ZL)。

摘　　要：针对传统煤炭分类方法存在成本较高、过程烦琐及耗时较长等问题,提出一种基于电磁波能量衰减原理的煤种分类方法。通过构建由软件无线电平台、微波天线和数据分析服务器等组成的分类实验系统,对褐煤、烟煤和无烟煤三种煤粉样品共计150份,在3~6 GHz频段上进行电磁波透射测试。对接收到的透射信号进行能量特征提取,采用BP神经网络预测模型实现了煤粉分类。实验表明,0.1、0.2、0.4、0.8 s透射时间的分类准确率分别为92.67%、95.26%、97.33%和98.70%。该研究为电磁波以及软件无线电技术在煤种分类的应用提供参考。This paper is aimed at addressing the problems of high cost,complicated process and long time in traditional coal classification method and proposes a coal classification method based on electromagnetic wave energy attenuation principle.The study includes constructing a classification experiment system composed of software radio platform,microwave antenna and data analysis server;testing a total of 150 samples of lignite,bituminous coal and anthracite coal in 3-6 GHz frequency band;extracting the energy information characteristic behind the signals;and obtaining the classification of coal powder by using BP neural network prediction model.The experiment shows that the classification accuracy of transmission time of 0.1,0.2,0.4 and 0.8 s are 92.67%,95.26%,97.33% and 98.70%,respectively.This study provides a new reference for the application of electromagnetic wave and software radio technology in coal classification.

关 键 词：煤种分类 软件无线电 微波天线 USRP B210 

分 类 号：TD94[矿业工程—选矿]