Research on multivariate data acquisition of hybrid production process

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages568-572
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 21 Jun 201123 Jun 2011

Publication series

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

Conference

Conference2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/TerritoryChina
CityBeijing
Period21/06/1123/06/11

Keywords

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

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