Design of Computer Multimedia Intelligent Platform Using Big Data Analysis

被引:1
|
作者
Chen, Zhenna [1 ]
机构
[1] Xiamen City Univ, Xiamen 361008, Fujian, Peoples R China
关键词
Big data analysis; multimedia; intelligent platform; vehicle monitoring management; Flume; Kafka; Storm;
D O I
10.1142/S0219265921430246
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This exploration aims to transfer, process and store multimedia information timely, accurately and comprehensively through computer comprehensive technology processing, and organically combine various elements under the background of big data analysis, so as to form a complete intelligent platform design for multimedia information processing and application. In this exploration, the intelligent vehicle monitoring system is taken as an example. Data acquisition, data transmission, real-time data processing, data storage and data application are realized through the real-time data stream processing framework of Flume+Kafka+ Storm of big data technology. Data interaction is realized through Spring, Spring MVC, VUE front-end framework, and Ajax asynchronous communication local update technology. Data storage is achieved through Red is cache database, and intelligent vehicle operation supervision system is achieved through multimedia information technology processing. Its purpose is to manage the vehicle information, real-time monitor the running state of the vehicle and give an alarm when there are some problems. The basic functions of vehicle operation monitoring and management system based on big data analysis are realized. The research on the design of vehicle operation monitoring and management system based on big data analysis shows that big data technology can be applied to the design of computer multimedia intelligent platform, and provides a reference case for the development of computer multimedia intelligent platform based on big data analysis.
引用
收藏
页数:12
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