YANG Zhengdong, ZHU Guoyuan. Design of universal automatic test platform for circuit board based on virtual instrument[J]. Journal of Mine Automation, 2018, 44(10): 84-89. DOI: 10.13272/j.issn.1671-251x.2018050065
Citation: YANG Zhengdong, ZHU Guoyuan. Design of universal automatic test platform for circuit board based on virtual instrument[J]. Journal of Mine Automation, 2018, 44(10): 84-89. DOI: 10.13272/j.issn.1671-251x.2018050065

Design of universal automatic test platform for circuit board based on virtual instrument

More Information
  • In view of problems of singleness and specificity of traditional circuit board test platform, in order to meet automatic testing requirements of different circuit boards, an universal automatic test platform for circuit board based on virtual instrument was designed. The platform achieves automated testing of different types of boards using virtual instrument testing technology, scan code technology and network technology. The test results are bound to serial number of the board and automatically saved to database of server, and the board test results can be queried via web browsing. The test results show that the platform can realize automatic test of different types of circuit boards, and improves test accuracy and efficiency under the premise of ensuring test accuracy of the circuit board.
  • Related Articles

    [1]WU Yulun, XIAO Tannan, CHEN Ying. Fault diagnosis method for substations based on fault enumeration tree to generate fuzzy Petri net[J]. Journal of Mine Automation, 2025, 51(1): 85-94. DOI: 10.13272/j.issn.1671-251x.18233
    [2]XIAO Fukun, LIU Huanhuan, SHAN Lei. Coal rock crack recognition method based on connectivity threshold segmentation[J]. Journal of Mine Automation, 2024, 50(8): 127-134. DOI: 10.13272/j.issn.1671-251x.2024050092
    [3]QIAO Xinzhou, WU Chenchen, LIU Peng, FAN Hongwei, MAO Qinghua. Research on sorting reliability of cable-driven gangue sorting robot system based on fault tree[J]. Journal of Mine Automation, 2022, 48(8): 107-113. DOI: 10.13272/j.issn.1671-251x.2022050075
    [4]LI Yanmin, ZHOU Chenyang, LI Fenglian. Multi-decision tree prediction model for coal seam floor water inrush based on cost-sensitive theory[J]. Journal of Mine Automation, 2020, 46(12): 76-83. DOI: 10.13272/j.issn.1671-251x.2020060071
    [5]ZHANG Mei, XU Tao, SUN Huihuang, MENG Xiangyu. Fault diagnosis of mine hoist based on fuzzy fault tree and Bayesian network[J]. Journal of Mine Automation, 2020, 46(11): 1-5. DOI: 10.13272/j.issn.1671-251x.17562
    [6]YANG Fa. Coal mine accident analysis based on encoding tree method[J]. Journal of Mine Automation, 2017, 43(3): 77-80. DOI: 10.13272/j.issn.1671-251x.2017.03.018
    [7]HUANG Zhi, REN Qihong, YU Qiang. Fault line selection of coal mine power grid based on dual-tree complex wavelet[J]. Journal of Mine Automation, 2014, 40(11): 88-92. DOI: 10.13272/j.issn.1671-251x.2014.11.021
    [8]HE Xue-wen, WANG Qiang, ZHANG Zhen-li. Research of ZigBee network tree routing algorithm based on energy awareness and energy balance[J]. Journal of Mine Automation, 2013, 39(10): 44-47. DOI: 10.7526/j.issn.1671-251X.2013.10.012
    [9]CHI Jing, YANG Zhen-yu, ZHANG Ting. Intrusion detection method based on Bayesian and decision tree[J]. Journal of Mine Automation, 2013, 39(2): 62-65.
    [10]SONG Yong-bao, SUN Wei, ZHAO Jun, QUAN Qiang-qiang, YE Jia-liang. Segmentation Algorithm of Gangue Image Based on Image Eroding and Region Growing[J]. Journal of Mine Automation, 2009, 35(12): 29-32.
  • Cited by

    Periodical cited type(2)

    1. 丁鹏辉,李志远,刘艺,王政辉. 基于改进级联式BP神经网络的巷道点云分类. 测绘通报. 2024(11): 172-176 .
    2. 豆曙杰,李健. 长平煤矿Ⅲ53102巷三维激光扫描巷道变形监测研究. 煤. 2024(12): 49-53 .

    Other cited types(0)

Catalog

    Article Metrics

    Article views (62) PDF downloads (11) Cited by(2)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return