计算机应用与软件2017，Vol.34Issue(11)：48-52,5.DOI:10.3969/j.issn.1000-386x.2017.11.009
基于Storm的工业流水线实时分析系统设计与实现
DESIGN OF INDUSTRIAL ASSEMBLY LINE REAL-TIME ANALYSIS SYSTEM BASED ON STORM AND ITS IMPLEMENTATION
陈志云 1肖楚乔1
作者信息
- 1. 华东师范大学计算机科学与软件工程学院 上海200062
- 折叠
摘要
Abstract
With the rise of cloud computing,big data,IoT,AI,etc.in the global industrial field,the data has become the core driving force of Industry 4.0 era.In order to make up for the shortage of Hadoop distributed system in real-time industrial data processing,this paper presents an industrial assembly line real-time analysis system based on Storm.The system collects real-time terminal data through the embedded SDK,converts the data to the log file through the Nginx server,and uses the distributed information system Kafka as cache,then the message flowing into Storm and the results stored in HBase.Finally,the analysis of the system from the aspects of security,parallelism and real-time performance shows that the system converts the industrial data collected by each terminal into valuable information to facilitate the aggregation and optimization of data resources reliably.关键词
工业大数据/Storm/KafkaKey words
Industrial big data/Storm/Kafka分类
信息技术与安全科学引用本文复制引用
陈志云,肖楚乔..基于Storm的工业流水线实时分析系统设计与实现[J].计算机应用与软件,2017,34(11):48-52,5.
