基于图像识别的交流充电桩误差检定方法研究
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1.深圳市星龙科技股份有限公司,广东 深圳 518052;2. 襄阳市公共检验检测中心,湖北 襄阳441000

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TP391

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Research on Error Verification Method of AC Charging Pile Based on Image Recognition
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1.Shenzhen Xinlong Science and Technology Co., Ltd, Shenzhen Guangdong 518052, China;2. Xiangyang Public Inspection and Testing Center,Xiangyang Hubei 441000,China

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    摘要:

    本研究的目的是改变常规技术中被检电能量化误差大,交流充电桩工作容易发生故障的问题,采用的方法是设计出图像识别的交流充电桩误差检定方法,并构建出新型的交流充电桩误差检定装置,通过图像差异突变量,检测出的被检充电桩的电度变化,使用余选相似度算法比较两帧图像差异 T(n),并计算本帧f(n) 和上一帧f(n-1)图形差异值以及上一帧f(n-1)和上上一帧f(n-2) 的图形差异值的变化。结果是通过上述设计,降低了交流充电桩检定的误差,平均误差低于5%。因此,本研究的方案提高了检定精度。

    Abstract:

    The purpose of this research was to change the problem of large quantification errors of the detected electric energy in the conventional technology and easy failure of AC charging piles. The method adopted was to design an AC charging pile error verification method with image recognition and constructed a new type of AC charging pile Error verification device, through the sudden change amount of the image difference, the electrical power change of the checked charging pile was detected, the residual selection similarity algorithm was used to compare the difference T(n) between the two frames, and the difference between the current frame f(n) and the previous frame f(n-1)was calculated. Value and the change of the graphic difference value between the previous frame f(n-1) and the previous frame f(n-2)was also calculated. The result was that through the above design, the verification error of the AC charging pile was reduced, and the average error was less than 5%. Therefore, the scheme of this study improved the verification accuracy.

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黄建钟,李银银.基于图像识别的交流充电桩误差检定方法研究[J].电子测量技术,2021,44(7):13-18

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  • 在线发布日期: 2024-10-15
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