Research on multivariate data acquisition of hybrid production process

Yaoguang Hu; Xi Cheng; Jialin Han; Yan Yan

doi:10.1109/ICIEA.2011.5975650

Research on multivariate data acquisition of hybrid production process

Yaoguang Hu^*, Xi Cheng, Jialin Han, Yan Yan

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

The data of hybrid production process is miscellaneous and multivariate, and the acquisition of multivariate data has become the bottleneck of production control and management. Advanced control technology and automatic identification technology provide effective means to acquire real-time data of hybrid production process. In this paper, the model of real-time data acquisition is presented, which provides an effective solution to the data acquisition problem of the hybrid production process. In the model, DCS, fieldbus, barcode and RFID are used to acquire various production data, and instruments, barcodes and RFID tags are uniformly coded. The multivariate production information with unified form is also acquired. At last, the model is validated by the case study of PVC gloves production.

Original language	English
Title of host publication	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages	568-572
Number of pages	5
DOIs	https://doi.org/10.1109/ICIEA.2011.5975650
Publication status	Published - 2011
Event	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China Duration: 21 Jun 2011 → 23 Jun 2011

Publication series

Name	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Conference

Conference	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/Territory	China
City	Beijing
Period	21/06/11 → 23/06/11

Keywords

DCS
PVC gloves
RFID
barcode
fieldbus
hybrid production process
multivariate data acquisition

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10.1109/ICIEA.2011.5975650

Cite this

Hu, Y., Cheng, X., Han, J., & Yan, Y. (2011). Research on multivariate data acquisition of hybrid production process. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 (pp. 568-572). Article 5975650 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011). https://doi.org/10.1109/ICIEA.2011.5975650

@inproceedings{a5ab210e2f8e492f9b11a01f15f273f6,

title = "Research on multivariate data acquisition of hybrid production process",

abstract = "The data of hybrid production process is miscellaneous and multivariate, and the acquisition of multivariate data has become the bottleneck of production control and management. Advanced control technology and automatic identification technology provide effective means to acquire real-time data of hybrid production process. In this paper, the model of real-time data acquisition is presented, which provides an effective solution to the data acquisition problem of the hybrid production process. In the model, DCS, fieldbus, barcode and RFID are used to acquire various production data, and instruments, barcodes and RFID tags are uniformly coded. The multivariate production information with unified form is also acquired. At last, the model is validated by the case study of PVC gloves production.",

keywords = "DCS, PVC gloves, RFID, barcode, fieldbus, hybrid production process, multivariate data acquisition",

author = "Yaoguang Hu and Xi Cheng and Jialin Han and Yan Yan",

year = "2011",

doi = "10.1109/ICIEA.2011.5975650",

language = "English",

isbn = "9781424487554",

series = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

pages = "568--572",

booktitle = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

note = "2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 ; Conference date: 21-06-2011 Through 23-06-2011",

}

Hu, Y, Cheng, X, Han, J & Yan, Y 2011, Research on multivariate data acquisition of hybrid production process. in Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011., 5975650, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, pp. 568-572, 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, Beijing, China, 21/06/11. https://doi.org/10.1109/ICIEA.2011.5975650

Research on multivariate data acquisition of hybrid production process. / Hu, Yaoguang; Cheng, Xi; Han, Jialin et al.
Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 568-572 5975650 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011).

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

TY - GEN

T1 - Research on multivariate data acquisition of hybrid production process

AU - Hu, Yaoguang

AU - Cheng, Xi

AU - Han, Jialin

AU - Yan, Yan

PY - 2011

Y1 - 2011

N2 - The data of hybrid production process is miscellaneous and multivariate, and the acquisition of multivariate data has become the bottleneck of production control and management. Advanced control technology and automatic identification technology provide effective means to acquire real-time data of hybrid production process. In this paper, the model of real-time data acquisition is presented, which provides an effective solution to the data acquisition problem of the hybrid production process. In the model, DCS, fieldbus, barcode and RFID are used to acquire various production data, and instruments, barcodes and RFID tags are uniformly coded. The multivariate production information with unified form is also acquired. At last, the model is validated by the case study of PVC gloves production.

AB - The data of hybrid production process is miscellaneous and multivariate, and the acquisition of multivariate data has become the bottleneck of production control and management. Advanced control technology and automatic identification technology provide effective means to acquire real-time data of hybrid production process. In this paper, the model of real-time data acquisition is presented, which provides an effective solution to the data acquisition problem of the hybrid production process. In the model, DCS, fieldbus, barcode and RFID are used to acquire various production data, and instruments, barcodes and RFID tags are uniformly coded. The multivariate production information with unified form is also acquired. At last, the model is validated by the case study of PVC gloves production.

KW - DCS

KW - PVC gloves

KW - RFID

KW - barcode

KW - fieldbus

KW - hybrid production process

KW - multivariate data acquisition

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DO - 10.1109/ICIEA.2011.5975650

M3 - Conference contribution

AN - SCOPUS:80052201008

SN - 9781424487554

T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

SP - 568

EP - 572

BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Y2 - 21 June 2011 through 23 June 2011

ER -

Research on multivariate data acquisition of hybrid production process

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