Design and Implementation of Sensory Data Collection and Storage Based on Hadoop Platform

被引：0
|
作者：
Bai, Zhen [1 ]
Cui, Shaohua [2 ]
Zhao, Chenglin [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Key Lab Universal Wireless Commun, MOE, Xitucheng Rd 10, Beijing, Peoples R China
[2] China Petr Technol & Dev Corp, Beijing, Peoples R China
来源：
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL III: SYSTEMS | 2020年 / 517卷
关键词：
Hadoop platform; Sensory data; Data collection; Data storage;
D O I：
10.1007/978-981-13-6508-9_106
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
At present, modern manufacturing and management concepts such as digitization, networking, and intelligence are widely used in the industry. Industry automation and information have been unprecedentedly improved, and therefore the entire life of industrial production link involves massive amounts of data, and the status monitoring data of industrial machine have large, multiple source, heterogeneous, and complex data characteristics. What is more, the traditional processing methods and tools could not meet the requirements for massive data, and may miss the best time to repair machine. So, to resolve the challenges that the industrial sensory big data faces, this paper proposes the sensory data collection and storage based on Hadoop platform.
引用
收藏
页码：870 / 874
页数：5
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