Design Of IoT Architecture Data Visualization Platform For Edge Computing

In recent years,with the rapid development of the 5th Generation Mobile Networks(5G,5th Generation Mobile Networks)and the Internet of Things(Io T),the application of the Internet of Things has shifted from the original signal transceiver and data collection to The direction of intelligent applications has changed.On the one hand,the number of Io T device connections and business traffic are increasing exponentially.The massive amount of data generated by terminal devices puts tremendous pressure on cloud servers,and the system responds slowly.On the other hand,how to analyze and process massive amounts of Io T terminal data.How to discover and use the value contained in data has become the focus of most people's attention.In response to the above mentioned problems,this paper designs a data visualization platform suitable for the extraction of massive amounts of Internet of Things application data information.The system architecture integrates various technical solutions such as Edge computing(EC,Edge Computing)technology,onion ring model middle layer,data visualization rendering engine,and visualization graphics component library.In response to the huge amount of server concurrency caused by massive data upload,this paper designs a content distribution network based on the area where the Io T terminal is located,which can collect terminal data to Edge nodes,improve the response speed of the Io T terminal,and reduce server concurrency Pressure to improve system stability.Aiming at the problem of difficult data processing of high-dimensional data sets,this paper designs and implements a Node middleware algorithm container based on the onion ring model,and uses a configuration method to introduce a dedicated algorithm to perform hierarchical calculations on high-dimensional data,and realize the algorithm calculation module Decoupling,improve data processing flexibility.Aiming at the problem that data is difficult to quantify and make decisions,this paper designs and implements a data visualization platform based on Echarts graphic library component,which combines multi-dimensional component graphic library to display data results,and the component library realized by GIS map improves the ease of human-computer interaction.Aiming at the problem of interactivity caused by the rendering of a large amount of data,this paper designs and implements the optimization of the rendering engine.Through methods such as Canvas code optimization,dynamic and static region isolation,and multithreaded rendering,the transformation of massive data and the stability of the interactive operation process are ensured.The Edge computing-oriented Io T architecture data visualization platform designed in this paper ensures the stability of data transmission in Io T application systems with massive amounts of data,and realizes the visualization of Io T terminal data.The platform architecture design of this article has been applied in existing Internet of Things engineering projects.