【摘要】 根据国家工作计量器具命名与分类代码规范,结合企业实际,选用5层信息混合字符编码方法,形成丰富的质量信息载体;采用CCD传感器接收图像信息、BP神经网络识别的方法,实现计量器具信息自动与人工双重识别功能;结合具体案例进行训练与测试,获得较好的识别精度。更多还原

【Abstract】 We reference the standard of Designation for Working Measuring Instrument and its Classification Code and consider the practice in enterprises to present a new method. Every measuring instrument was coded with 5 classes of figure codes, which can load abundant information. The image of the measuring instrument code can be taken by CCD sensors and then recognized by BP neural network. In this way, information code of measuring instruments can be recognized not only artificially but also automatically. With a case of training and testing, recognizing code of measuring instrument by BP neural network give a satisfied result.更多还原