Skip to main content
SpringerLink
Log in

Research on Monitoring Technology of Traditional Chinese Medicine Production Process Based on Data Opening

  • Conference paper
  • First Online:
Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 455))

  • 1257 Accesses

Abstract

There is useful data directly related to the end products quality, which is implied in the process data of traditional Chinese medicine (hereinafter referred to as TCM) production. Rapid process data collection, open data management and scalable monitoring technology, have great significance to achieve the direct quality control. Aiming at the procedure of TCM, it directly collects process date based on OPC technology and meanwhile stores real time data in the SQL database, and then develops monitoring software by using programming language C (C#). The result shows that the minimum monitoring system based on C# can improve the data acquisition and storage rate, and realize data open and sharing, with advantages of small memory footprint, simplified structure, and highly expansibility.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Haibin Q, Yiyu C, Yuesheng W (2003) Some engineering problems on developing production industry of modern traditional chinese medicine. China J Chin Materia Med 28(10):904

    Google Scholar 

  2. Xiuli S (2010) Research and implementation of data mining analysis of traditional Chinese medicine production. J Nankai Univ Nat Sci Ed 5:46–51

    Google Scholar 

  3. Haoshu X (2012) Method for statistical quality control of multi process and multi index of traditional Chinese medicine production. China J Chinese Materia Med 37(13):1935–1941

    Google Scholar 

  4. Pei L, Meng J (2014) The research on monitoring system of Chinese medicine extraction process based on the information integration. Tianjin University of Science and Technology, Tianjin

    Google Scholar 

  5. Bilgic A et al (2011) Low-power smart industrial control design automation & test in Europe conference & exhibition (DATE) 2011. IEEE

    Google Scholar 

  6. Jiexian S, Xiaoping S (2006) Automatic control technology in the extraction of Chinese herbal medicine. Chinese Herbal Med 29(9):984–986

    Google Scholar 

  7. Liu Q, Bintang X, Gaobin, Jin L, Cuiming W (2010) The digital control system of traditional Chinese medicine extraction. China instrument (Suppl):183–185

    Google Scholar 

  8. OPC Foundation. Data Access Custom Interface Standard Version 2.04. 5 September 2000

    Google Scholar 

  9. Xue L (2012) The research on the application of OPC technology in substation monitoring system, Shandong university

    Google Scholar 

  10. Luan X (2007) The research on the application of OPC technology in oil field monitoring and controlling system. Micro Comput Inf 13:109–110

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tianjin University of Science and Technology, Tianjin, China

    Lu Pei, Zhou Guangyuan & Wang Nana

Authors
  1. Lu Pei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhou Guangyuan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wang Nana
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lu Pei .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. University of South Australia, Bournemouth University, Poole, UK, and University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  3. School of Information Engineering, Chang'an University, Xi'an, China

    Xiangmo Zhao

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Pei, L., Guangyuan, Z., Nana, W. (2017). Research on Monitoring Technology of Traditional Chinese Medicine Production Process Based on Data Opening. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-38771-0_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38769-7

  • Online ISBN: 978-3-319-38771-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation