DocumentCode :
2603633
Title :
Development of a cloud-computing-based equipment monitoring system for machine tool industry
Author :
Hung, Min-Hsiung ; Lin, Yu-Chuan ; Huy, Tran Quoc ; Yang, Haw-Ching ; Cheng, Fan-Tien
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chinese Culture Univ., Taipei, Taiwan
fYear :
2012
fDate :
20-24 Aug. 2012
Firstpage :
962
Lastpage :
967
Abstract :
This paper aims to present the design of a cloud computing-based equipment monitoring system (EMS), called CCEMS, for the CNC machine tool industry to illustrate the paradigm shift of EMSs from basing on the Internet to basing on the cloud. In the CCEMS, Graphical User Interface (GUI) plays an important role that allows users to interact with the system for controlling and operating equipment, monitoring equipment performance and statuses, detecting and diagnosing equipment faults, conjecturing production quality and precision of equipment, and so on. To overcome the shortcomings of traditional Web GUIs, this paper proposes a novel Web application implementation framework, called NWAIF, for the CCEMS, by using Service-Oriented Architecture (SOA) and Rich Internet Application (RIA) technology. Finally, a paradigm CCEMS for monitoring CNC machine tools is constructed and used to validate the efficacy of the CCEMS and NWAIF. Testing results show that the paradigm CCEMS meets the desired functional requirements and the GUIs created by using the proposed NWAIF is superior to traditional Web-based GUIs in terms of shorter response times to complete the testing operations.
Keywords :
cloud computing; computerised monitoring; computerised numerical control; fault diagnosis; graphical user interfaces; machine tools; production engineering computing; quality control; service-oriented architecture; CCEMS; CNC machine tool industry; NWAIF; RIA; SOA; Web-based GUI; cloud-computing-based equipment monitoring system; equipment faults; graphical user interface; production quality; rich Internet application technology; service-oriented architecture; testing operations; Cloud computing; Computational modeling; Data acquisition; Data models; Graphical user interfaces; Monitoring; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location :
Seoul
ISSN :
2161-8070
Print_ISBN :
978-1-4673-0429-0
Type :
conf
DOI :
10.1109/CoASE.2012.6386500
Filename :
6386500
Link To Document :
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