基于深度学习的工业仪表识别读数算法研究及应用

Research and Application of Reading Recognition Algorithm for Industrial Instruments Based on Deep Learning

工业仪表作为我国社会生产中的重要内容,被科学应用在工业发展、军事发展等多个领域中,同时也应用在环境复杂的变电站中,那么就要确保工业仪表应用中识别读数的准确性,从而为工业仪表应用提供真实有效的数据信息。本文在深度学习内涵的基础上进行研究,分析了工业仪表识别读数算法实现,接着对工业仪表识别读数算法实验结果进行系统分析,最后探讨了工业仪表识别读数算法的应用,旨在提高工业仪表识别读数算法的科学性和准确率。

As an important content in China’s social production,industrial instruments are scientifically applied in many fields such as industrial development and military development,as well as in substations with complex environment.Therefore,it is necessary to ensure the accuracy of identification readings in the application of industrial instruments,so as to provide real and effective data information for the application of industrial instruments.Based on the connotation of in-depth learning,this paper analyzes the implementation of industrial instrument identification reading algorithm,then systematically analyzes the experimental results of industrial instrument identification reading algorithm,and finally discusses the application of industrial instrument identification reading algorithm,in order to improve the scientificity and accuracy of industrial instrument identification reading algorithm.