Design and Implementation of Electrical Automation System Management Based on Internet of Things Technology

  • Conference paper
  • First Online:
Cyber Security Intelligence and Analytics (CSIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 125))

  • 1322 Accesses

Abstract

Internet of things search service is one of the most important services provided by the Internet of things. However, how to efficiently and accurately obtain the most suitable information from the massive, heterogeneous and dynamic entity data of Internet of things is a big challenge. First of all, there is no unified description model of entity resources in the Internet of things at this stage, which leads to the heterogeneity of resource description and brings difficulties to the data collection and processing of entity search system in the Internet of things. Secondly, the access of large-scale heterogeneous Internet of things devices makes the Internet of things entity data have the characteristics of mass, polymorphism and relevance. The traditional web search technology is no longer suitable for the Internet of things environment. This paper focuses on the design and development of electrical automation experiment platform. The main task of this project is to build and develop a flexible and easy-to-use electrical automation experimental platform with multi-function, which can meet the requirements of teaching experiment and scientific research. The automation platform takes Schneider m218, m258 PLC and lmc058 motion controller as the core, and also includes touch screen, frequency converter, servo driver, servo motor and mechanical arm. It solves the problem of single and inflexible equipment of the original experimental platform, and has good practical significance.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Senniah, J.P., Prasad, A.R.: Efficient data sensing with group key management for intelligent automation system by one-way key derivation in wireless networks. J. Ambient. Intell. Humaniz. Comput. 12(5), 4655–4662 (2021)

    Article  Google Scholar 

  2. Senniah, J.P., Prasad, A.: Efficient data sensing with group key management for intelligent automation system by one-way key derivation in wireless networks. J. Ambient Intell. Human. Comput. 12, 4655–4662 (2020). https://doi.org/10.1007/s12652-020-01862-x

    Article  Google Scholar 

  3. Paveethra, S.R., Barathi, B., Geethapriya, M., et al.: Theoretical modelling and implementation of home energy management system using IoT based automation system. Mater. Today Proc. 45, 1790–1793 (2020)

    Article  Google Scholar 

  4. Ms, A., Yong, W.: Renewable energy supply chain management with flexibility and automation in a production system. Mater. Today Proc. 45, 1790–1793 (2021)

    Article  Google Scholar 

  5. Zhang, X.L.: Discussion on application of power plant electrical integrated automation technology (2021)

    Google Scholar 

  6. Wang, Y., Zhang, N., Guan, Y., et al.: Inheritance and expansion analysis of research topics between energy internet and smart grid. Autom. Electr. Power Syst. 44(4), 1–8 (2020)

    Google Scholar 

  7. Zúiga, A.A., Baleia, A., Fernandes, J., et al.: Classical failure modes and effects analysis in the context of smart grid cyber-physical systems. Energies 13(5), 1215 (2020)

    Article  Google Scholar 

  8. Rosewater, D., Schenkman, B., Santoso, S.: Adaptive modeling process for a battery energy management system. In: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (2020)

    Google Scholar 

  9. Lin, L., Yue, S.: Application of electrical engineering automation technology in power system operation. Int. J. Power Energy Syst. 32(2), 969–976 (2020)

    Google Scholar 

  10. Wang, Z., Ma, X., Huang, W.: Vehicle license plate recognition based on wavelet transform and vertical edge matching. Int. J. Pattern Recognit. Artif. Intell. 34(06), 1134–1142 (2020)

    Article  Google Scholar 

  11. NF C46-908-4/A1-2020: Communication networks and systems for power utility automation - part 4: system and project management

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tian Song .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Song, T. (2022). Design and Implementation of Electrical Automation System Management Based on Internet of Things Technology. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_112

Download citation

Publish with us

Policies and ethics

Navigation