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计算机系统应用英文版:2017,26(9):93-97
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数控机床传感器数据分析中ETL系统改进
(1.中国科学院 沈阳计算技术研究所, 沈阳 110168;2.中国科学院大学, 北京 100049)
Improvement of ETL System in NC Machine Sensor Data Analysis
(1.Shenyang Institute of Computer Technology, Chinese Academy of Sciences, Shenyang 110168, China;2.University of Chinese Academy of Sciences, Beijing 100049, China)
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Received:December 27, 2016    
中文摘要: ETL (Extract-Transform-Load)系统是数控机床传感器数据分析中不可或缺的一个重要组成部分.针对近年来数据量越来越大和实时性要求越来越高的问题,本文对ETL系统中传统的变更数据捕获方案做了改进,设计了适用于该数据的实时数据抽取方案,并详述了整个分布式架构的设计.实验表明,该ETL系统在数控机床传感器数据的实时处理上,具有较高的效率.
中文关键词: 数控机床  传感器  ETL  实时
Abstract:ETL(Extract-Transform-Load) is an indispensable component of the NC machine sensor data analysis. In view of the increasing amount of data in recent years, and the rising requirements for real-time data processing, this paper improves the traditional change data capture methods, and designs real-time data capture solutions based on the characteristics of those data. What's more, it details the entire ETL distributed architecture design. Finally, experiments show that the ETL system on NC machine sensor data real-time processing has higher efficiency.
keywords: NC machine  sensor  ETL  real-time
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刘峰,蔡明高,于波,于碧辉.数控机床传感器数据分析中ETL系统改进.计算机系统应用,2017,26(9):93-97
LIU Feng,CAI Ming-Gao,YU Bo,YU Bi-Hui.Improvement of ETL System in NC Machine Sensor Data Analysis.COMPUTER SYSTEMS APPLICATIONS,2017,26(9):93-97