DocumentCode :
2339176
Title :
Study on data collection in production system based on key-node model
Author :
Wenqiang, Mao ; Yaoguang, Hu ; Jialin, Han ; Haisheng, Li ; Jingwen, Li
Author_Institution :
Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
18-20 July 2012
Firstpage :
2023
Lastpage :
2028
Abstract :
The poor data integration, low data accuracy and real-time capability are becoming the main problems for current production system, which could also result in inadaptability to intelligent production systems in the future. Via studying on the data sets collected in critical moment, a key-node data model is proposed. The model achieves the effective integration of static and dynamic resource information in workshop based on a unified data structure. It improves the data integration, accuracy and real-time capability and well supports the visual monitoring of production systems. Finally, with a Beijing resistance company as the background, the feasibility and effectiveness of the key-node data model is verified.
Keywords :
data integration; data models; data structures; process monitoring; production engineering computing; real-time systems; resource allocation; Beijing resistance company; data accuracy; data collection; data integration; dynamic resource information; intelligent production systems; key-node data model; real-time capability; static resource information; unified data structure; visual monitoring; Conferences; Data models; Production systems; Real-time systems; Standards; Data Collection; Key Node; Production System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
Type :
conf
DOI :
10.1109/ICIEA.2012.6361062
Filename :
6361062
Link To Document :
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