摘要
基于机器视觉的煤炭、矸石识别技术是目前普通工科院校,特别是煤炭院校的热门课题,也是国际前沿课题。鉴于此,开发一套红、黄、蓝三色光源视觉的煤矸识别教学和科研综合实验平台,由推杆机构、落煤装置、实验支架、视觉相机、计算机和光源等组成。该平台能模拟煤矿开采、放煤过程,实现煤炭和矸石图像信息的采集及处理,探究不同图像识别方法在煤矸识别上的应用。通过该平台学习,学生可增加对综放工作面的感性认识、熟悉多种传感器的使用、掌握多种模式识别方法和编程软件,培养相关专业学生的科研实践能力。
The recognition technology of coal and gangue based on machine vision is currently a popular research topic in general engineering colleges,especially coal colleges,and is also an international cuttingedge topic.In view of this,a comprehensive experimental platform about coalgangue recognition has been developed based on red,yellow,and blue light source vision for teaching and research.The platform consists of push rod mechanism,coal falling device,experimental support,visual camera,computer and light source.It can simulate the coal caving process,achieve image information collection and processing about coal and gangue,and explore the application of different image recognition methods in coalgangue recognition.Through this platform,students can increase their perceptual understanding of the fully mechanized caving working face,become familiar with the use of various sensors,master various pattern recognition methods and programming software,and cultivate their scientific research and practical abilities in related majors.
作者
姜海燕
宋庆辉
宋庆军
刘治江
郝文超
JIANG Haiyan;SONG Qinghui;SONG Qingjun;LIU Zhijiang;HAO Wenchao(College of Intelligent Equipment,Shandong University of Science and Technology,Tai’an 271000,Shandong,China;Rizhao Port Container Development Co.,Ltd.,Rizhao 276800,Shandong,China)
出处
《实验室研究与探索》
CAS
北大核心
2023年第11期124-129,共6页
Research and Exploration In Laboratory
基金
国家自然基金面上项目(52174145)
山东科技大学2022年教育教学研究“群星计划”项目(QX2022M78)。
关键词
机器视觉
煤矸识别
图像处理
实验教学平台
扩展性实验
machine vision
coalgangue recognition
image processing
experimental teaching platform
extended experiments
