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In the process of bad sorting detection of pitch diameter of cold oil joint thread the detection accuracy and efficiency are low due to manual detection. Aiming at the problem a sorting detection system of bad pitch diameter of oil pipe part thread based on machine vision was proposed. Firstly in the pitch diameter detection model of machine vision detection based on the principle of three needle pitch diame ter measurement the virtual measuring needle positioning algorithm of four needle method based on machine vision was innovatively put for ward. The algorithm obtained the straight line of dental floss through Hough transform combined the method of tangent circle positioning to automatically obtain the pitch diameter of the thread and realized the automatic measurement of pitch diameter. Then the machine vision system was selected based on the evaluation standard of the cold oil pipe thread the overall design of the cold oil pipe thread diameter detec tion system based on machine vision was completed and the control program process of the machine vision was completed too. Finally the system detection accuracy and repetition accuracy were measured. The experimental results show that the system can screen the pitch diame ter of the thread of the product the detection accuracy is 0. 01 mm and the repetitive accuracy is 0. 001 mm which provides a new solution and special machine design for the quality inspection of the same type of products. [ABSTRACT FROM AUTHOR]

Copyright of Acta Prataculturae Sinica is the property of Acta Prataculturae Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Prataculturae Sinica is the property of Acta Prataculturae Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the problem of workshop network in small and medium enterprises, the network topology, networking mode, CNC equipment networking and data acquisition system were studied. According to the requirement of workshop equipment network, a network system for small and medium enterprises was proposed, four kinds of network modes of workshop NC equipment were summarized, the basic software module and design idea of the digital control equipment networking and data acquisition system were expounded. The idea and implementation method on the communication system of the DNC computer of the workshop and CNC equipments, management module and data acquisition and processing module were proposed in detail. The results indicate that the distributed, heterogeneous equipment network and its software system designed for small and medium enterprise workshop can meet the needs of enterprise operation, can significantly improve the utilization rate of CNC equipment, and improve product quality. [ABSTRACT FROM AUTHOR]