Study on data collection in production system based on key-node model

Wenqiang Mao; Yaoguang Hu; Jialin Han; Haisheng Li; Jingwen Li

doi:10.1109/ICIEA.2012.6361062

Study on data collection in production system based on key-node model

Wenqiang Mao^*, Yaoguang Hu, Jialin Han, Haisheng Li, Jingwen Li

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages	2023-2028
Number of pages	6
DOIs	https://doi.org/10.1109/ICIEA.2012.6361062
Publication status	Published - 2012
Event	2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore Duration: 18 Jul 2012 → 20 Jul 2012

Publication series

Name	Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Conference

Conference	2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/Territory	Singapore
City	Singapore
Period	18/07/12 → 20/07/12

Keywords

Data Collection
Key Node
Production System

Access to Document

10.1109/ICIEA.2012.6361062

Cite this

Mao, W., Hu, Y., Han, J., Li, H., & Li, J. (2012). Study on data collection in production system based on key-node model. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 (pp. 2023-2028). Article 6361062 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). https://doi.org/10.1109/ICIEA.2012.6361062

@inproceedings{e616fab3b9f34922bbe637d94c689e9a,

title = "Study on data collection in production system based on key-node model",

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 Collection, Key Node, Production System",

author = "Wenqiang Mao and Yaoguang Hu and Jialin Han and Haisheng Li and Jingwen Li",

year = "2012",

doi = "10.1109/ICIEA.2012.6361062",

language = "English",

isbn = "9781457721175",

series = "Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012",

pages = "2023--2028",

booktitle = "Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012",

note = "2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 ; Conference date: 18-07-2012 Through 20-07-2012",

}

Mao, W, Hu, Y, Han, J, Li, H & Li, J 2012, Study on data collection in production system based on key-node model. in Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012., 6361062, Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, pp. 2023-2028, 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, Singapore, Singapore, 18/07/12. https://doi.org/10.1109/ICIEA.2012.6361062

Study on data collection in production system based on key-node model. / Mao, Wenqiang; Hu, Yaoguang; Han, Jialin et al.
Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012. 2012. p. 2023-2028 6361062 (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Study on data collection in production system based on key-node model

AU - Mao, Wenqiang

AU - Hu, Yaoguang

AU - Han, Jialin

AU - Li, Haisheng

AU - Li, Jingwen

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Data Collection

KW - Key Node

KW - Production System

UR - http://www.scopus.com/inward/record.url?scp=84871689603&partnerID=8YFLogxK

U2 - 10.1109/ICIEA.2012.6361062

DO - 10.1109/ICIEA.2012.6361062

M3 - Conference contribution

AN - SCOPUS:84871689603

SN - 9781457721175

T3 - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

SP - 2023

EP - 2028

BT - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

T2 - 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Y2 - 18 July 2012 through 20 July 2012

ER -

Study on data collection in production system based on key-node model

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this