DocumentCode
2963929
Title
Design of Intelligent Internet of Things for Equipment Maintenance
Author
Xiaoli, Xu ; Yunbo, Zuo ; Guoxin, Wu
Author_Institution
Beijing Inf. Sci. & Technol. Univ., Beijing, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
509
Lastpage
511
Abstract
In order to strengthen the security guarantee and improve the scientific management level of important equipments, the intelligent internet of things for equipment maintenance (IITEM) was presented in this paper. IITEM collects the static and dynamic information of electrical and mechanical equipments by all kinds of sensors, and standardizes various types of information, so as to suit the information transmission needs of the Internet of Things. According to the characteristics of mechanical and electrical equipment, IITEM makes intelligent processing of device information, including establishment of signal sample database and knowledge base, extraction of running status feature of complex equipment, state analysis, model building, fault diagnosis, fault prediction, etc. Centering on the functional objectives of IITEM, the demonstration project of IITEM was designed. It could realize online safety monitoring, fault prediction and comprehensive protection of key equipment groups, avoid economic losses and casualties, extend equipment maintenance cycle, and promote establishment of coding system, standards and norms related to the intelligent internet of things for equipment maintenance, which should be suitable for the Chinese Internet of Things.
Keywords
Internet; maintenance engineering; production engineering computing; production equipment; Chinese Internet-of-Things; electrical equipments; equipment group prediction; equipment maintenance; fault prediction; intelligent Internet-of-Things; mechanical equipments; online safety monitoring; Artificial intelligence; Fault diagnosis; Internet; Maintenance engineering; Monitoring; Security; Sensors; Internet of Things; equipment maintenance; fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.412
Filename
5750937
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