Volume 38 Issue 7
Turn off MathJax
Article Contents
Abstract
Related Articles
LIU Dong, ZHENG Nan-shan, QIAN Jin. Application Research of GPS Technology in Vertical Deformation Monitoring of Coal Mine[J]. Journal of Mine Automation, 2012, 38(7): 14-17.
Citation: LIU Dong, ZHENG Nan-shan, QIAN Jin. Application Research of GPS Technology in Vertical Deformation Monitoring of Coal Mine[J]. Journal of Mine Automation, 2012, 38(7): 14-17.
shu

Application Research of GPS Technology in Vertical Deformation Monitoring of Coal Mine

  • 1.

    Key Laboratory for Land Environment and Disaster Monitoring of SBSM. of CUMT., Xuzhou 221116, China. 2. School of Environmental Science and Spatial Informatics of CUMT., Xuzhou 221116, China

More Information
    Graphical Abstract
    • Abstract
  • The paper introduced methods of construction of GPS monitoring network, observation method of vertical deformation of coal mine and data processing method, gave analysis and contrast of GPS monitoring results with the second order leveling results, and concluded that vertical deformation results of coal mine monitored by GPS static positioning technology can reflect subsidence and excavation of mine，the average difference between GPS measuring result and the precise leveling one is less than 2 mm, and the value and precision of geodetic height measured by GPS can fully reflect vertical deformation of mine.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]TAO Long, GUO Yanfei. Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition[J]. Journal of Mine Automation, 2025, 51(2): 131-137. DOI: 10.13272/j.issn.1671-251x.2024120015
    [2]WANG Houchao, NIU Qiang, CHEN Pengpeng, XIA Shixiong. Fusion denoising algorithm for vibration signal of mine hoist with low signal-to-noise ratio[J]. Journal of Mine Automation, 2023, 49(1): 63-72. DOI: 10.13272/j.issn.1671-251x.18019
    [3]ZHANG Jiangong. Early fault feature extraction method of vibration signal of mine-used motor[J]. Journal of Mine Automation, 2019, 45(5): 96-99. DOI: 10.13272/j.issn.1671-251x.17399
    [4]ZHANG Linfeng, TIAN Muqin, SONG Jiancheng, HE Ying, FENG Junling, YANG Xiang. Feature extraction of vibration signal of roadheader based on singular value decompositio[J]. Journal of Mine Automation, 2019, 45(1): 28-34. DOI: 10.13272/j.issn.1671-251x.2018070035
    [5]MA Tianbing, WANG Xiaodong, DU Fei, CHEN Nanna. Fault diagnosis of rigid cage guide based on wavelet packet and BP neural network[J]. Journal of Mine Automation, 2018, 44(8): 76-80. DOI: 10.13272/j.issn.1671-251x.2018010051
    [6]ZHANG Qizhi, QIU Jinbo, ZHUANG Deyu. Vibration signal identification of coal-rock cutting of shearer based on cepstral distance[J]. Journal of Mine Automation, 2017, 43(1): 9-12. DOI: 10.13272/j.issn.1671-251x.2017.01.003
    [7]ZHANG Yanjun, WANG Junyuan, DONG Lei, DU Wenhua, LI Yong, WANG Shengli. Analysis of vibration characteristics of cutting arm of EML340 continuous miner[J]. Journal of Mine Automation, 2016, 42(12): 63-67. DOI: 10.13272/j.issn.1671-251x.2016.12.014
    [8]LI Dongyu, TIAN Muqin, SONG Jiancheng, BAO Wenliang, MA Zhao. Denoising method of vibration signal of roadheader based on the optimal wavelet basis selectio[J]. Journal of Mine Automation, 2016, 42(10): 35-39. DOI: 10.13272/j.issn.1671-251x.2016.10.008
    [9]WANG Xiaowei, WEI Xiangxiang, HOU Yaxiao, GAO Jie. A fault line selection method of small current grounding system based on wavelet de-noising and improved RBF neural network[J]. Journal of Mine Automation, 2014, 40(4): 46-50. DOI: 10.13272/j.issn.1671-251x.2014.04.011
    [10]QUAN Jian-ju. Design of Wireless Collection System of Vibration Signal of Rolling Bearing[J]. Journal of Mine Automation, 2012, 38(6): 106-108.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (95) PDF downloads (10) Cited by()
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1174239    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return