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
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;
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
DOI :
10.1109/MFI.2014.6997757
