Abstract:In the view of the current water meter small flow verification time is long,the manual reading is not accurate and other reasons, a verification method of water meter in small flow based on machine vision is proposed. The plum blossom rotor image of water meter is acquired by industrial camera with adaptive sampling frequency. According to the theory of image overlap, the image of the rotor at the beginning of the verification is used as the background, and the subsequent images overlap on this background. During the rotation of the rotor, the number of rotating teeth is counted from the periodic changing of the percent of white and black areas in the overlap image. The indicated volume of the water meter is obtained by the pulse equivalent with the double-time method. Liquid flow standard device is used to calibrate water meter with the actual volume got by the weighing tank through static mass method. The error of water meter can be calculated. The experimental results manifest that the result obtained by this verification method is consistent to the manual reading with shorten verification time and less water in small flow. The method can solve the reading interference from bubbles, and the verification efficiency can be improved.
作者简介: 林柯楠(1995-),浙江台州人,中国计量大学在读硕士研究生, 主要研究方向为流量检测技术。Email: 782430459@qq. com
引用本文:
林柯楠,庄园,黄咏梅. 基于机器视觉的水表小流量检定方法研究[J]. 计量学报, 2021, 42(9): 1167-1171.
LIN Ke-nan,ZHUANG Yuan,HUANG Yong-mei. Research on Small Flow Verification Method of Water Meter Based on Machine Vision. Acta Metrologica Sinica, 2021, 42(9): 1167-1171.
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