摘要
随着科学技术的发展,人工智能在工作生活中应用的范畴也越来越广泛。在我们所熟知的变电站中,已经逐步出现了智能巡检机器人来代替人工巡视。那么机器人在巡视过程中又是如何识别表记等相关信息的呢?本文将就这一问题展开讨论。文中首先讨论了卷积神经网络的理论基础,以及一些相关的运算,给出了基于卷积神经网络的变电站巡检机器人图像识别模型。
With the development of science and technology, the application of artificial intelligence in work and life is also more and more extensive. In substation, intelligent inspection robots have gradually emerged instead of manual inspection. The robot in the inspection process is how to identify the token and other related information？ This paper will discuss this problem. Firstly, the theoretical basis of convolutional neural network and some related operations are discussed, and the image recognition model of substation inspection robot based on convolutional neural network is given.
出处
《软件》
2017年第12期190-192,共3页
Software
关键词
卷积神经网络
图像识别
变电站巡检
智能机器人
Convolutional neural network
Image recognition
Substation inspection
Intelligent robot
