Volume 42 Issue 8
Turn off MathJax
Article Contents
Abstract
Related Articles
WANG Jiansheng, GUO Peng, HAO Zhen, GUO Lu . Coal piling detection of coal transport belt of power plant based on vision measurement[J]. Journal of Mine Automation, 2016, 42(8): 43-47. DOI: 10.13272/j.issn.1671-251x.2016.08.011
Citation: WANG Jiansheng, GUO Peng, HAO Zhen, GUO Lu . Coal piling detection of coal transport belt of power plant based on vision measurement[J]. Journal of Mine Automation, 2016, 42(8): 43-47. DOI: 10.13272/j.issn.1671-251x.2016.08.011
shu

Coal piling detection of coal transport belt of power plant based on vision measurement

  • 1.

    Anhui Huadian Suzhou Power Generation Co., Ltd.， Suzhou 234000，China；2.Rudong Country Electric Power Supply Company, State Grid Jiangsu Electric Power Supply Company，Rudong 226400， China； 3.Xu

More Information
    Abstract
  • In view of problems of false alarming and triboelectrification existed in existing coal conveying belt system with coal piling sensor to detect state of coal piling of belt, a non-contact detection method of coal piling of belt based on vision measurement was proposed. The method uses monocular vision technology in visual inspection to construct small hole imaging model, and can measure coal piling of belt. The experimental results show that the method has advantages of high real-time property and good detection effect with detection accuracy of about 95%, which complies with design requirements.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]SHEN Ning. Surface foreign object detection of belt conveyor used in coal preparation plant based on binocular vision[J]. Journal of Mine Automation, 2023, 49(S1): 82-85.
    [2]ZHANG Xuhui, XIE Nan, ZHANG Chao, YANG Wenjuan, ZHANG Kaixin, ZHOU Chuang. Improvement of vision measurement system for cutting head position of boom-type roadheader[J]. Journal of Mine Automation, 2021, 47(7): 1-7. DOI: 10.13272/j.issn.1671-251x.2021010057
    [3]ZHANG Xuhui, ZHOU Chuang, ZHANG Chao, XIE Nan, ZHANG Kaixin, LIU Boxing. Research on deviation correction control of rapid tunneling robot based on vision measurement[J]. Journal of Mine Automation, 2020, 46(9): 21-26. DOI: 10.13272/j.issn.1671-251x.17639
    [4]ZHANG Xuhui, WANG Dongman, YANG Wenjua. Position detection method of hydraulic support based on vision measurement[J]. Journal of Mine Automation, 2019, 45(3): 56-60. DOI: 10.13272/j.issn.1671-251x.2018090039
    [5]ZHANG Xuhui, LIU Yongwei, YANG Wenjuan, MAO Qinghua, WANG Dongman, ZHOU Ying. Vision measurement system for cutting head attitude of mine-used boom-type roadheader[J]. Journal of Mine Automation, 2018, 44(8): 63-67. DOI: 10.13272/j.issn.1671-251x.2018010067
    [6]LI Ping, REN Anxiang. Research on volume measurement method of coal on belt conveying based on machine visio[J]. Journal of Mine Automation, 2018, 44(4): 24-29. DOI: 10.13272/j.issn.1627-251x.2017110027
    [7]XIE Pengcheng, CHEN Qingshan, LI Xiang. Real-time dust monitoring for industrial site based on machine visio[J]. Journal of Mine Automation, 2017, 43(3): 61-65. DOI: 10.13272/j.issn.1671-251x.2017.03.014
    [8]LIU Gaiye, WU Xiyan. A self-adaptive calibration method for mine-used belt detection with binocular visio[J]. Journal of Mine Automation, 2015, 41(6): 61-65. DOI: 10.13272/j.issn.1671-251x.2015.06.015
    [9]YANG Xin, MA Bin, WANG Jiansheng, ZHU Meiqiang. Obstacle detection and ranging method of mine locomotive based on monocular visio[J]. Journal of Mine Automation, 2014, 40(11): 96-99. DOI: 10.13272/j.issn.1671-251x.2014.11.023
    [10]ZHU Xian-sheng, XU Wen-shang, XU Jing. Application of Orthogonal List in Developing Power Supply Graph of Coal Mine by Visio[J]. Journal of Mine Automation, 2009, 35(1): 54-56.

Catalog

    GUO Lu

    1. On this Site
    2. On Google Scholar
    3. On PubMed
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (46) PDF downloads (12) Cited by()
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1433496    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return