A method for Predicting Missing Data in Industrial Internet of Things Communication Based on Electronic Information Technology
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.
electronic information technologyindustrial Internet of Thingscommunication datadata prediction
万方数据
维普
