Projection segmentation-based image recognition technology for automatic reading of gas meter

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2024-10-11 DOI:10.1016/j.flowmeasinst.2024.102707

Yuanming Zhang , Xiaoxiao Huo , Qilun Lu , Guoyu Chen , Liangyong Hu

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引用次数: 0

Abstract

In view of the shortcomings of the existing gas meter reading methods, this paper introduces an automatic reading method and calibration device based on the projection segmentation method, which uses the color difference between the character part and the rest part of the last code wheel of the gas meter counter to realize image recognition of the turned characters, and then calculates the cumulative volume indication of gas meter based on the number of turned characters. The pixel projection value scanned by the camera device at the horizontal centerline of the last code wheel changes alternately when the code wheel rotates. The proposed projection segmentation method does not require recognition of specific characters, simplifying the algorithm and making it suitable for most calibration devices. Experiments show that the accuracy rate of the proposed method is 100% even under low-light conditions, which is a great improvement compared with the traditional character recognition method. Additionally, the reading resolution of the proposed method is improved by 10 times compared with the existing photoelectric sampling method and template matching method, and the total calibration time can be reduced by 6.7%–58.7%, which significantly enhances the calibration efficiency.

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基于投影分割的图像识别技术用于自动读取燃气表

针对现有燃气表读数方法的不足，本文介绍了一种基于投影分割法的自动读数方法和校准装置，该方法利用燃气表计数器最后一个码轮的字符部分与其余部分的色差实现翻转字符的图像识别，然后根据翻转字符的个数计算燃气表的累计量指示。当编码轮旋转时，摄像装置在最后一个编码轮水平中心线上扫描到的像素投影值会交替变化。所提出的投影分割方法无需识别特定字符，简化了算法，适用于大多数校准设备。实验表明，即使在弱光条件下，所提方法的准确率也能达到 100%，与传统的字符识别方法相比有了很大改进。此外，与现有的光电采样法和模板匹配法相比，所提方法的读取分辨率提高了 10 倍，总校准时间可缩短 6.7%-58.7% ，大大提高了校准效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Flow Measurement and Instrumentation 工程技术-工程：机械

CiteScore

4.30

自引率

13.60%

发文量

123

审稿时长

6 months

期刊介绍： Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions. FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest: Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible. Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems. Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories. Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.