摘要
随着物联网(IoT)技术的快速发展,各类电子信息设备不断涌现,构建了一个庞大而复杂的网络生态系统。在这个背景下,如何高效地集成和处理大规模电子信息成为一个亟待解决的难题。文中基于人工智能(AI)技术,探讨了物联网环境下的电子信息集成与处理策略,分析了传感器网络、多源信息集成、机器学习等在电子信息处理中的应用,并提出了优化决策、安全性和隐私保护的策略,以更好地利用人工智能(AI)技术实现对电子信息的集成与处理,提高信息处理的效率和精度。
With the rapid development of Internet of Things(IoT)technology,various electronic information devices continue to emerge,building a large and complex network ecosystem.In this context,how to efficiently integrate and process large-scale electronic information has become an urgent problem to be solved.Based on artificial intelligence(AI)technology,this paper discusses the electronic information integration and processing strategies in the Internet of Things environment,analyzes the applications of sensor networks,multi-source information integration,and machine learning in electronic information processing,and proposes strategies for optimizing decision-making,security,and privacy protection to better utilize artificial intelligence(AI)technology implementation for electronic information integration and processing,and improve the efficiency and accuracy of information processing.
作者
颜艳
初元鸽
张芳
YAN Yan;CHU Yuan ge;ZHANG Fang(Qingdao International Airport Group Co.,Ltd.,Qingdao,Shandong 266308,China;Qingdao Civil Aviation Cares Co.,Ltd.,Qingdao,Shandong 266108,China)
出处
《移动信息》
2024年第6期285-287,共3页
MOBILE INFORMATION
关键词
物联网
AI
电子信息
集成处理
Internet of Things
AI
Electronic information
Integrated processing
