基于机器视觉的指针式压力表智能检定系统研究

doi:10.3969/j.issn.1000-1158.2022.11.10

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Abstract In order to solve the problems of low efficiency of traditional calibration device of pointer pressure meter, data can not be kept and traced, an intelligent detection system of pointer pressure meter based on machine vision technology is designed. Firstly, the hardware architecture and software design of the system are introduced, and then the technical principle and solution of image analysis are expounded. At the same time, the intelligent control process of the system and the retrospective review method of verification data are put forward, and the technical scheme of simultaneous verification of 2~10 pieces of pressure meters with the same inspection point is realized. The experimental results show that the average speed of image analysis is 467ms per frame, and the verification efficiency can be increased by more than 2 times compared with manual verification. The relative error of the system reading is 0.08% and 0.2% respectively for the class 0.4 precision pressure meter and class 1.6 general pressure meter with a range of 2.5MPa range.

Key words： metrology pointer pressure meter verification system machine vision intelligentize;retrospective review method

Received: 23 June 2021 Published: 14 November 2022

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TB937

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	Articles by authors
	WU Kai-yu
	ZHU Hai-qing
	SHEN Xiao-dong
	SHEN Wei
	FANG Ming

Cite this article:

WU Kai-yu,ZHU Hai-qing,SHEN Xiao-dong, et al. Research on Intelligent Verification System of Pointer Pressure Meter Based on Machine Vision[J]. Acta Metrologica Sinica, 2022, 43(11): 1450-1455.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.11.10 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I11/1450

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