DocumentCode
1783228
Title
Design and implement of remote maintenance data warehouse for low-speed maglev train
Author
Hong-feng Qi ; Feng-shan Dou ; Qing-zheng Bao
Author_Institution
Beijing Enterprises Holdings Maglev Technol. Dev. Co. Ltd., Beijing, China
fYear
2014
fDate
28-29 Sept. 2014
Firstpage
1
Lastpage
6
Abstract
Based on data requirements for remote maintenance for low-speed maglev train, this paper analyzed the key data sources, maintenance operations and the needs of decision-makers of the train, combined with the characteristics of data warehouse technology, and a maglev train remote maintenance support system data warehouse was designed according to the process of data warehouse design, which provided data support for remote maintenance.
Keywords
data warehouses; magnetic levitation; maintenance engineering; railway engineering; traffic engineering computing; data warehouse design; low-speed maglev train; remote maintenance support system data warehouse; Business; Data mining; Data models; Data warehouses; Maintenance engineering; Power supplies; Servers; data mining; data warehouse; maglev train; online analytical processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6731-5
Type
conf
DOI
10.1109/MFI.2014.6997757
Filename
6997757
Link To Document