CUI Zhifang, NIU Jianfeng. Research on automatic coal caving control system[J]. Journal of Mine Automation, 2018, 44(12): 39-42. DOI: 10.13272/j.issn.1671-251x.17337
Citation: CUI Zhifang, NIU Jianfeng. Research on automatic coal caving control system[J]. Journal of Mine Automation, 2018, 44(12): 39-42. DOI: 10.13272/j.issn.1671-251x.17337

Research on automatic coal caving control system

More Information
  • Aiming at problem that fully mechanized caving face at the back end of fully mechanized top coal caving face adopted manual caving control method, its automation level differed greatly from that at the front end of fully mechanized top coal caving face, an automatic coal caving control system was studied. According to inclination sensors installed on top coal caving hydraulic support and travel sensors in jacks of front or rear scraper conveyor, position and attitude of caving mechanism of the hydraulic support are controlled to achieve precise control of caving quantity; by installing pan-tilt camera and infrared transmitter on tail beam of the hydraulic support, real-time video monitoring is carried out in whole process of coal caving to realize detection and control of coal transportation quantity and straightness of the rear scraper conveyor; image gray recognition technology is used to identify coal-gangue and detect gangue content of top coal. The system improves efficiency and quality of coal caving, and provides an idea for realizing unmanned fully mechanized top coal caving face.
  • Related Articles

    [1]FAN Baodong, MA Kaide, CUI Weixiu, LI Zhiyuan. Research on intelligent control system for scraper conveyor in coal mining working face[J]. Journal of Mine Automation, 2025, 51(1): 52-60. DOI: 10.13272/j.issn.1671-251x.2024090093
    [2]WANG Zhifeng, WANG Jiachen, LI Lianghui, AN Bochao. Study on the prediction of gangue content rate in fully mechanized caving face based on DeepLab v3+[J]. Journal of Mine Automation, 2024, 50(10): 90-96. DOI: 10.13272/j.issn.1671-251x.2024070001
    [3]CHEN Shuhang, WANG Shibo, GE Shirong, WANG Yun, MA Guangjun. Study on the spatiotemporal distribution of coal flow in the scraper conveyor of fully mechanized mining face[J]. Journal of Mine Automation, 2024, 50(9): 98-107. DOI: 10.13272/j.issn.1671-251x.2023110009
    [4]WANG Jiachen, YANG Shengli, LI Lianghui, ZHANG Jinwang, WEI Weijie. Research progress on intelligent coal caving theory and technology[J]. Journal of Mine Automation, 2024, 50(9): 1-12. DOI: 10.13272/j.issn.1671-251x.18213
    [5]WU Jiangwei, NAN Bingfei. Method for recognizing coal flow status of scraper conveyor in working face[J]. Journal of Mine Automation, 2023, 49(11): 60-66. DOI: 10.13272/j.issn.1671-251x.2023080101
    [6]SHI Xiangyu, SI Lei, WANG Zhongbin, WEI Dong, GU Jinheng. Forward simulation of electromagnetic waves in coal gangue model based on improved bidirectional peak-valley search algorithm[J]. Journal of Mine Automation, 2023, 49(10): 87-95. DOI: 10.13272/j.issn.1671-251x.18090
    [7]MI Yanjun, PAN Weidong, YANG Kehu, LI Xinyuan, WANG Chong. Research of automatic top-coal caving without human intervention in Huangyuchuan Coal Mine[J]. Journal of Mine Automation, 2021, 47(S2): 29-31.
    [8]CUI Zhifang, NIU Jianfeng. Research on automatic memory coal caving control[J]. Journal of Mine Automation, 2019, 45(3): 99-102. DOI: 10.13272/j.issn.1671-251x.2018060030
    [9]NIU Jianfeng. Research on automatic drawing control system on fully-mechanized coal face with sublevel caving[J]. Journal of Mine Automation, 2018, 44(6): 27-30. DOI: 10.13272/j.issn.1671-251x.2018020020
    [10]ZHANG Liang, NIU Jianfeng, DAI Gang, ZHAO Wensheng. Design of automatic identification system of coal and gangue for fully-mechanized coal caving working face and its applicatio[J]. Journal of Mine Automation, 2014, 40(9): 121-124. DOI: 10.13272/j.issn.1671-251x.2014.09.029
  • Cited by

    Periodical cited type(0)

    Other cited types(3)

Catalog

    Article Metrics

    Article views (107) PDF downloads (16) Cited by(3)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return