The Industrial Internet of Things achieves real-time monitoring and optimization of industrial production by connecting a large number of sensors and devices.However,due to complex communication environments and equipment failures,data loss issues occur frequently,posing challenges to data analysis and intelligent decision-making.The communication missing data prediction method based on electronic information technology constructs an accurate prediction model through data collection,preprocessing,feature extraction,prediction model training,and real-time prediction,improving the integrity and continuity of system data.This article explores the implementation process and specific steps of the method,and verifies its effectiveness and advantages in practical applications through experiments.
关键词
电子信息技术/工业物联网/通信数据/数据预测
Key words
electronic information technology/industrial Internet of Things/communication data/data prediction
维普
万方数据