摘要
随着业务流程数字化及数据爆炸式增长,人工智能的神经网络、自然语言处理等技术研究取得新进展,催生了更多的自动化应用。这些应用发展潜力巨大,能够整合海量数据,是工业自动化的重要发展方向。基于此,文章以开放自动化平台和人工智能概述为切入点,简要阐述了开放自动化平台的发展历程,分析了开放自动化平台与人工智能的融合现状及行业案例,介绍了其面临的挑战并指出了有效的解决方案,旨在为相关工作者提供参考。
With the digitization of business processes and the explosive growth of data,coupled with new advances in artificial intelligence technologies such as neural networks and natural language processing,more forms of automation have emerged,with enormous potential for development.The ability to integrate massive amounts of data has become a future trend in industrial automation.Based on this,the article takes an overview of open automation platforms and artificial intelligence as the starting point,briefly elaborates on the development history of open automation platforms,analyzes the integration status and industry cases of open automation platforms and artificial intelligence,and based on this,proposes challenges and solutions,looks forward to the future,in order to provide reference for relevant workers.
作者
胡群超
HU Qunchao(Shanghai Xunxian Information Technology Co.,Ltd.,Shanghai 201210,China)
出处
《计算机应用文摘》
2024年第7期131-133,共3页
Chinese Journal of Computer Application
关键词
开放自动化平台
人工智能
融合方案
open automation platform
artificial intelligence
fusion plan
