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基于工业物联网的智能控制系统优化策略研究

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本文详细探讨了基于工业物联网的智能控制系统的优化策略.首先,提出通过轻量化设计和多协议融合技术优化网络协议,以提高数据传输效率和系统响应速度.其次,探讨了边缘计算的集成策略,包括在数据源附近部署边缘计算节点以减轻中心服务器的负担并降低数据传输延迟.再次,提出引入机器学习模型以增强数据处理能力,包括自动化的特征工程技术和模型的在线学习与适应性更新.最后,强调了实施端到端加密、多因素认证以及部署入侵检测和防御系统等措施以强化通信安全.这些策略的实施旨在提升智能控制系统的性能和安全性.
Research on Optimization Strategy of Intelligent Control System Based on Industrial Internet of Things
This paper discusses the optimization strategy of intelligent control system based on industrial Internet of Things in detail.Firstly,it is proposed to optimize network protocols through lightweight design and multi protocol fusion technology to improve data transmission efficiency and system response speed.Secondly,the integration strategy of edge computing is discussed,including deploying edge computing nodes near the data source to reduce the burden of the central server and reduce the data transmission delay.Thirdly,it is proposed to introduce machine learning models to enhance data processing capabilities,including automated feature engineering techniques and online learning and adaptive updates of models.Finally,measures such as implementing end-to-end encryption,multi factor authentication,and deploying intrusion detection and defense systems were emphasized to enhance communication security.The implementation of these strategies aims to enhance the performance and security of intelligent control systems.

industrial Internet of Thingsintelligent control systemnetwork protocol optimizationedge computing integration

杜晓君

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广东博通科技服务有限公司,广东 东莞 523000

工业物联网 智能控制系统 网络协议优化 边缘计算集成

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(10)