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