关键词: 图像识别, 拉力计, 自动检定, 数据处理, 神经网络

Abstract: The standard force value sensor,screw lift and pylon structure were used to replace the weight hanging method to form the tension meter automatic verification system.The stepping motor was used to drive the screw lift screw to solve the automatic force loading problem of the loading mechanism.The system automatically collected the standard sensor output force value data.The camera device was used to capture the moving position picture of the dynamometer cursor in real time and uploaded it to the computer.The digital information of the vernier displacement was obtained and converted into the dynamometer reading information by using Hopfield neural network intelligent recognition software for identification processing.The level of verification automation and work efficiency were improved by this dynamometer automatic verification system.

Key words: Image identification, Tention meter, Automatic verification, Data processing, Neural network