Skip to main content

An Optimized Scheme for Monitoring Data Transmission of Complex Engineering Systems

  • Conference paper
  • First Online:
Proceedings of 2018 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 528))

  • 916 Accesses

Abstract

In operation process of complex engineering systems, some problems of low transmission performance have severely burst out because of high concurrency and large monitoring data size. Three aspects such as operating mode, pre-compression pretreatment and data compression are considered to optimize the transmission process of system monitor data in this paper. Improvement of coding output process in LZSS algorithm is proposed as the compression processing method before data transmission. Finally, an optimization scheme is applied to an air launch site in mass monitoring data transmission process. The experimental results demonstrate that the proposed method significantly improves the transmission process. With the addition of the optimization scheme, transmission time is shortened nearly 75%.

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 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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. F. Ren, T. Zhao, J. Jiao et al., Resilience optimization for complex engineered systems based on the multi-dimensional resilience concept. IEEE Access (99), 1–1 (2017)

    Google Scholar 

  2. L. Boyuan, H. Shuangxi, F. Wenhui et al., Data driven uncertainty evaluation for complex engineered system design. Chin. J. Mech. Eng. 29(5), 889–900 (2016)

    Article  Google Scholar 

  3. G.V. Kalabin, V.I. Gorny, S.G. Kritsuk, Environmental appraisal of the area of Kachkanar mining-and-processing plant by satellite monitoring data. J. Min. Sci. 52(2), 394–400 (2016)

    Article  Google Scholar 

  4. C. Fang, F. Marle, E. Zio et al., Network theory-based analysis of risk interactions in large engineering projects. Reliab. Eng. Syst. Saf. 106(2), 1–10 (2012)

    Article  Google Scholar 

  5. Y. Moon, D. Kim, Y. Go et al., Cedos: a network architecture and programming abstraction for delay-tolerant mobile apps. IEEE/ACM Trans. Networking 99, 1–16 (2017)

    Google Scholar 

  6. Z. Zhenqiu, Z. Jie, L. Wei, Stability and bifurcation analysis in a FAST TCP model with feedback delay. Nonlinear Dyn. 70(1), 255–267 (2012)

    Article  MathSciNet  Google Scholar 

  7. I. Tomohiro, Y. Nakashima, S. Inenaga et al., Faster Lyndon factorization algorithms for SLP and LZ78 compressed text. Theoret. Comput. Sci. 656, 215–224 (2016)

    Article  MathSciNet  Google Scholar 

  8. R. Fan, L. Cheded, O. Toker, Designing a SCADA system powered by Java and XML. Comput. Control Eng. 16(5), 31–39 (2005)

    Article  Google Scholar 

  9. W. Ji, L. Qilian, C. Kwan, A Novel and Comprehensive Compressive Sensing-Based System for Data Compression (2012)

    Google Scholar 

  10. D. Sodkomkham, D. Ciliberti, M.A. Wilson et al., Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes. Knowl. Based Syst. 94, 1–12 (2016)

    Article  Google Scholar 

  11. R. Iša, J. Matoušek, A novel architecture for LZSS compression of configuration bitstreams within FPGA, in International Symposium on Design and Diagnostics of Electronic Circuits & Systems (IEEE, 2017)

    Google Scholar 

  12. Z. Huan, F. Xiaoping, L. Shaoqiang et al., Design and realization of improved LZW algorithm for wireless sensor networks, in International Conference on Information Science and Technology (IEEE, 2011), pp. 671–675

    Google Scholar 

  13. J. Yingmin, Robust control with decoupling performance for steering and traction of 4WS vehicles under velocity-varying motion. IEEE Trans. Control Syst. Technol. 8(3), 554–569 (2000)

    Google Scholar 

  14. J. Yingmin, Alternative proofs for improved LMI representations for the analysis and the design of continuous-time systems with polytopic type uncertainty: a predictive approach. IEEE Trans. Autom. Control 48(8), 1413–1416 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ke Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, K., Liu, Z., Chai, Y. (2019). An Optimized Scheme for Monitoring Data Transmission of Complex Engineering Systems. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_11

Download citation

Publish with us

Policies and ethics