标题：Industrial Electrical Automation Control System Based on Machine Vision and Deep Learning

作者：J Yao，J Feng，Y Liu，L Chen，J Wu

网址:https://link.springer.com/book/10.1007/978-981-15-2568-1

求助者：大刘

• 求助时间：2022/3/25 9:19:57
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• 文献摘要：

Electrical automation technology is the most effective way for industrial enterprises to improve production efficiency, ensure production and operation safety, and achieve good economic benefits. The purpose of this paper is to study industrial electrical automation control system based on machine vision and deep learning. By studying the latest progress of Scikit-Learn and machine vision, combined with the current development of electrical automation, this paper explores how to combine artificial intelligence with electrical automation. Taking the overall design of industrial electrical automation control system of disc casting unit as the research object, the experimental results show that through traditional electrical automation means and intelligent electrical automation hand In terms of the convergence of fault diagnosis and processing, the section makes rational prediction and statistical analysis. The convergence of deep learning automatic control technology is stable at 0.2 over time, which is superior to the traditional automatic control technology.

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