An Automatic Detection and Sorting System for Valve Core Based on Machine Vision

被引:0
|
作者
Gao, Mingyu [1 ,2 ]
Zhan, Zhiping [1 ]
Yang, Yuxiang [1 ,2 ]
Deng, Zouchao [1 ,2 ]
Huang, Jiye [1 ,2 ]
Dong, Zhekang [1 ,2 ]
机构
[1] Hangzhou Dianzi Univ, Sch Elect & Informat, Hangzhou, Peoples R China
[2] Zhejiang Prov Key Lab Equipment Elect, Hangzhou, Peoples R China
关键词
machine vision; air conditioning valve core; digital identification; buoy positioning; micro-inside diameter measurement;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The air-conditioning energy consumption will indirectly be affected by the machining accuracy of the valve core in throttle valve used to control refrigerant, so each valve core needs to be tested for its intermediate aperture before leaving the factory. Moreover, the repeatability of the general electronic pneumatic measuring instrument cannot meet the requirements. This paper introduces an automatic detection system of the valve core aperture based on machine vision, which is mainly composed of mechanical movement part, visual part, and control part. The system is based on a method of measuring the valve core aperture by pneumatic measuring instrument, and automatically discriminates the values of pneumatic measuring instrument and barometer by machine vision. Then, the system cooperates with mechanical movement part to complete valve core loading and automatic sorting, thus realizing online automatic detection and sorting of the micro-apertures of the air-conditioning valve core. The experimental results show that the online detection system meets the production requirements of enterprises.
引用
收藏
页码:5578 / 5583
页数:6
相关论文
共 50 条
  • [41] Vacuum casting bubble automatic elimination system based on on-line machine vision detection
    Liu, Y.Y.
    Chi, Z.F.
    Hu, Q.X.
    Yao, Y.
    Huang, J.
    Advanced Materials Research, 2013, 670 : 222 - 227
  • [42] Research on Roundness Detection and Sorting of Oil Cooling Pipe Based on Machine Vision
    Li Junjie
    Wang Chunguang
    Wu Jin
    Wang Xiaoming
    Zhu Yaqiao
    Zhang Shihui
    2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2021), 2021, : 113 - 118
  • [43] Infrared machine vision system for the automatic detection of olive fruit quality
    Guzman, Elena
    Baeten, Vincent
    Pierna, Juan Antonio Fernandez
    Garcia-Mesa, Jose A.
    TALANTA, 2013, 116 : 894 - 898
  • [44] An Automatic Parts Detection System Based on Computer Vision
    Li Liang
    Han Shun
    Hajime, Asama
    Duan Feng
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 9493 - 9498
  • [45] The Fabric Defects Automatic Detecting System Based on Machine Vision
    Bai, Zhen-lin
    Meng, Zhi-yong
    Yang, Mei
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014), 2014, : 54 - 58
  • [46] Automatic system of seeds refined grading based on machine vision
    Xun, Yi
    Zhang, Junxiong
    Li, Wei
    Cai, Weiguo
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 441 - 441
  • [47] Machine vision based guidance system for automatic rice transplanters
    Chen, B
    Tojo, S
    Watanabe, K
    APPLIED ENGINEERING IN AGRICULTURE, 2003, 19 (01) : 91 - 97
  • [48] An Automatic Assembling System for Sealing Rings Based on Machine Vision
    Gao, Mingyu
    Li, Xiao
    He, Zhiwei
    Yang, Yuxiang
    JOURNAL OF SENSORS, 2017, 2017
  • [49] An automatic identification system of agricultural pests based on machine vision
    Zhang, Faquan
    Wang, Guofu
    Ye, Jincai
    Journal of Computational and Theoretical Nanoscience, 2015, 12 (12) : 6231 - 6236
  • [50] An Automatic Sealing System for Battery Lid Based on Machine Vision
    Gao, Mingyu
    Li, Xiao
    Yang, Yuxiang
    He, Zhiwei
    Huang, Jiye
    2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2017, : 407 - 411