Skip to main content

Virtual Instrumentation System Design for a Secured Chemical Process Industry Automation

  • Conference paper
  • First Online:
Innovations in Mechanical Engineering

Abstract

With the development and popularization of technology, virtual instruments are mostly replacing analog device gradually. The measurement and control technology plays an important role in the process of manufacturing industry and scientific research. As time advances, the conventional instruments are emerging in shortage. This study involves the development of virtual instrumentation for process industry automation. In this work, a supervisory monitoring system is developed using LabVIEW software. In today's world, the industrial applications are carried out by controlling remotely. LabVIEW is one of the useful tools for real-time monitoring and controlling of industrial systems. The system fed with having with controllers is used to perform process parameter control, and industry personals can visualize the parameters without visiting the site. Therefore, this system reduces maintenance cost and enhances easy access. Temperature and tank level are key parameters to be monitored in chemical process industries which is considered as an example in this study. Lack of control over any of them will not only affect the component and equipment but also the manpower and, therefore, ultimately resulting in equipment and life loss. Also, to the monitoring and controlling the system, this study also provides an additional security system for the users with e-mail report generation to convey the user about the parametric status.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
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. Rahul SG, Dhivyasri G, Kavitha P, Vendan SA, Kumar KR, Garg A, Gao L (2018) Model reference adaptive controller for enhancing the depth of penetration and bead width during cold metal transfer joining process. Rob Comput Integr Manuf 53:122–134

    Article  Google Scholar 

  2. Buzduga C, Ciufudean C (2020) Automation systems in LabVIEW. Int J Educ Learn Syst 5

    Google Scholar 

  3. Padhee S, Singh Y (2011) Data logging and supervisory control of process using LabVIEW. In: IEEE technology students’ symposium. IEEE, pp 329–334

    Google Scholar 

  4. Morarum CM, Stefan I, Bucur C, Balteanu O (2020) Survey about the data acquisition system used for cryogenic process with configuration of the simulation system in LabVIEW software. Int J Circ Electron 5

    Google Scholar 

  5. Liu J, Zhang P, Wang F (2009) Real-time dc servo motor position control by PID controller using labview. In: International conference on intelligent human-machine systems and cybernetics, vol 1. IEEE, pp 206–209

    Google Scholar 

  6. Agrawal R, Mohan S (2012) Complete industrial solution for automation in temperature and humidity monitoring using labview. In: 2012 Ninth international conference on wireless and optical communications networks (WOCN). IEEE, pp 1–5

    Google Scholar 

  7. Gomez Quintero MP, Zabala Dominguez GA, Davila Rincon JA (2011) Use of LabVIEW to control systems in chemical engineering. Dyna 78(169):150–157

    Google Scholar 

  8. Chattal M, Bhan V, Madiha H, Shaikh SA (2019) Industrial automation & control trough PLC and LabVIEW. In: 2nd International conference on computing, mathematics and engineering technologies (iCoMET). IEEE, pp 1–5

    Google Scholar 

  9. Alia MA, Younes TM, Alsabbah SA (2011) A design of a PID self-tuning controller using LabVIEW. J Softw Eng Appl 4(3):161

    Article  Google Scholar 

  10. Yu J, Liu C (2015) Design of self-tuning PID controller with fuzzy variable parameters based on LabView. In: IEEE International conference on information and automation. IEEE, pp 2586–2591

    Google Scholar 

  11. Sundaram SM (2017) Design of virtual process control laboratory (VPCL) using first principal method and interactive PID control toolkit using LabVIEW. In: 2017 9th International conference on information technology and electrical engineering (ICITEE). IEEE, pp 1–5

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rahul, S.G., Chitra, R., Madabhushi, M., Kavya, M., Sraya (2022). Virtual Instrumentation System Design for a Secured Chemical Process Industry Automation. In: Narasimham, G.S.V.L., Babu, A.V., Reddy, S.S., Dhanasekaran, R. (eds) Innovations in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-7282-8_48

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-7282-8_48

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7281-1

  • Online ISBN: 978-981-16-7282-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics