Skip to main content
Log in

Engineering operation management technology based on network automation configuration visualization

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

This study designed a visual management software for WIA-PA network. Firstly, based on the characteristics of WIA-PA network, the main functions and design requirements of visual management software are analyzed. Then the decoupling between modules and the network topology layout algorithm are designed. The traditional register mode is improved to form index mode, and the software development is realized with builder mode. The model can effectively decouple from packet analysis, data storage and application, and has good hardware platform compatibility. Based on the improved tension repulsion model, a heuristic network topology layout algorithm based on node attributes is designed. When the number of devices is 21, 41, 81 and 161, the execution time of the algorithm is 31MS, 62 ms, 109 ms and 250 ms respectively. The algorithm has the best performance in solving the network layout with less than 100 devices, and the network topology layout is clearer, which provides an important support for the hardware platform compatibility of visual management software.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig.8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Akbar NA, Jafari NN, Mehdi H, Ali R (2020) Energy-aware dynamic-link load balancing method for a software-defined network using a multi-objective artificial bee colony algorithm and genetic operators. IET Commun 14(18):3284–3293

    Article  Google Scholar 

  • Al Mamun MA, Hannan MA, Hussain A et al (2016) Theoretical model and implementation of a real time intelligent bin status monitoring system using rule based decision algorithms. Expert SystAppl 48:76–88

    Article  Google Scholar 

  • Chahuara P, Fleury A, Portet F, Vacher M (2012) Using Markov Logic Network for On Line Activity Recognition from Non visual Home Automation Sensors. In: Paternò F, de Ruyter B, Markopoulos P, Santoro C, van Loenen E, Luyten K (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34898-3_12

    Chapter  Google Scholar 

  • das NevesValadão Y, Künzel G, Müller I et al (2018) Industrial wireless automation overview and evolution of WIAPA. IFAC PapersOnLine 51(10):175–180

    Article  Google Scholar 

  • Datsika EG, Katsenou AV, Kondi LP et al (2016) Joint quality enhancement and power control for wireless visual sensor networks based on the nash bargaining solution. Digit Signal Process 50(C):203–217

    Article  Google Scholar 

  • Elivelton O, Rangel et al (2019) On redundant coverage maximization in wireless visual sensor networks evolutionary algorithms for multi-objective optimization. Appl Soft Comput 82:105578–105578

    Article  Google Scholar 

  • Gorka E, Fearghal M, Andoni M, Frank C, Peter L, Brian M, Roberto Á, Axel B, Finn K (2018) Web-based interfaces for virtual C. elegans neuron model definition network, configuration, behavioral experiment definition and experiment results visualization. Front Neuroinform. https://doi.org/10.3389/fninf.2018.00080

    Article  Google Scholar 

  • Huang R, Chu X, Zhang J et al (2017) Scale-free topology optimization for software-defined wireless sensor networks: a cyber-physical system. Int J DistribSensNetw 13(6):155014771771362

    Google Scholar 

  • Huhtamäki J, Russell MG, Rubens N, Still K (2015) Ostinato The Exploration Automation Cycle of UserCentric Process Automated Data Driven Visual Network Analytics. In: Matei S, Russell M, Bertino E (eds) Transparency in Social Media. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-18552-1_11

    Chapter  Google Scholar 

  • Jin X, Guan N, Xia C et al (2018) Packet aggregation real-time scheduling for large-scale WIA-PA industrial wireless sensor networks. ACM Trans. Embed. Comput. Syst (TECS) 17(5):1–19

    Article  Google Scholar 

  • Kidwai NR, Khan E, Reisslein M (2016) ZM-SPECK: A Fast and Memoryless Image Coder for Multimedia Sensor Networks. IEEE Sens J 16(8):2575–2587

    Article  Google Scholar 

  • Kim S, Lee H, Jeon D et al (2016) Reduction in encoding redundancy for overlapped FOVs over wireless visual sensor networks. Digital Signal Processing 50(C):135–149

    Article  Google Scholar 

  • Laghari S, Niazi MA (2016) Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing approach. PLoS ONE 11(1):e0146760

    Article  Google Scholar 

  • Li Z, Chen Z, Zhang J et al (2017) The evolution of IoT wireless networks for low-rate and real-time applications. J Internet Technol 18(1):175–188

    Google Scholar 

  • Liu D, Zhang X, Gao C et al (2018) Cost management system of electric power engineering project based on project management theory. J Intell Fuzzy Syst 34(2):975–984

    Article  Google Scholar 

  • Miranda C, Kaddoum G, Bou-Harb E et al (2020) A collaborative security framework for software-defined wireless sensor networks. IEEE Trans Inf Forensics Secur 15:2602–2615

    Article  Google Scholar 

  • Nicolson J, Hofsttter K, Peer M et al (2018) Thewintershallnoordzee well engineering management system. Oil Gas Eur Mag 44(3):121–125

    Google Scholar 

  • Schulz-Zander J, Mayer C, Ciobotaru B et al (2017) Unified programmability of virtualized network functions and software-defined wireless networks. IEEE Trans. Netw. Serv. Manage 14(4):1046–1060

    Article  Google Scholar 

  • Sheng Z, Mahapatra C, Zhu C et al (2017) Recent advances in industrial wireless sensor networks toward efficient management in IoT. IEEE Access 3:622–637

    Article  Google Scholar 

  • Tsyrkov AV, Kuznetsov PM, Tsyrkov GA et al (2018) Project and operations management of machine-building Production. Mordovia Univ Bull 4:511–522

    Article  Google Scholar 

  • Wang Q, Jiang J (2016) Comparative Examination on Architecture and Protocol of Industrial Wireless Sensor Network Standards. IEEE Commun. Surv. Tutorials 18(3):2197–2219

    Article  MathSciNet  Google Scholar 

  • Wang J, Peng WU, Wang X et al (2017) The outlook of blockchain technology for construction engineering management. Front EngManag 4(1):71–79

    MathSciNet  Google Scholar 

  • Wei M, Kim K (2016) An automatic test platform to verify the security functions for secure WIA-PA wireless sensor networks. Int J DistribSensNetw 12(11):155014771667609

    Google Scholar 

  • Zhao X (2018) Optimization design of marine collective engineering management system with bs architecture based on big data. J Coastal Res 83(sp1):656–661

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhifeng Ji.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ji, Z. Engineering operation management technology based on network automation configuration visualization. Int J Syst Assur Eng Manag 12, 765–775 (2021). https://doi.org/10.1007/s13198-021-01093-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-021-01093-z

Keywords

Navigation