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Analysis on Visual Information Structure in Intelligent Control System Based on Order Degree and Information Characterization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 965))

Abstract

Efficient intelligent control system helps enterprises to create greater economic value and social value, so the rationalization of information structure plays a decisive role in operators’ cognition and operational efficiency. Based on the information characterization method, this paper presents a model of applying the order degree algorithm to the intelligent control system and applies it to the MES production line control system of an enterprise. It not only quantifies the advantages and disadvantages of the information structure by the order degree algorithm, but also provides the direction for the design of the information structure at the beginning of the design process from the microscopic perspective.

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References

  1. Yim, H.B., Lee, S.M., Seong, P.H.: A development of a quantitative situation awareness measurement tool: Computational Representation of Situation Awareness with Graphical Expressions (CoRSAGE). Ann. Nucl. Energy 65, 144–157 (2014)

    Article  Google Scholar 

  2. Paul, S., Nazareth, D.: Input information complexity, perceived time pressure, and information processing in GSS-based work groups: an experimental investigation using a decision schema to alleviate information overload conditions. Decis. Support Syst. 49(1), 31–40 (2010)

    Article  Google Scholar 

  3. Cheshire, J., Batty, M.: Visualisation tools for understanding big data. Environ. Plann. B-Plann. Des. 39(3), 413–415 (2012)

    Article  Google Scholar 

  4. Burns, C.M., Skraaning Jr., G., Jamieson, G.A., et al.: Evaluation of ecological interface design for nuclear process control: situation awareness effects. Hum. Factors 50(4), 663–679 (2008)

    Article  Google Scholar 

  5. Carvalho, P.V.R., dos Santos, I.L., Gomes, J.O., et al.: Human factors approach for evaluation and redesign of human–system interfaces of a nuclear power plant simulator. Displays 29, 273–284 (2008)

    Article  Google Scholar 

  6. Zhou, L., Xue, C., Wang, H., et al.: Order degree analysis of digital interface microscopic information structure. J. SE Univ. (Nat. Sci. Ed.) 46(6), 1209–1213 (2016)

    Google Scholar 

  7. Zhou, L., Xue, C., Tang, W., et al.: Aesthetic evaluation method of interface elements layout design. J. Comput. Aided Des. Comput. Graphics 25(5), 758–766 (2013)

    Google Scholar 

  8. Zhou, L.: Research on digital interface layout design method based on visual pathway theory. Southeast University (2014)

    Google Scholar 

  9. Li, J., Xue, C., Wang, H., et al.: Encoding information of human-computer interface for equilibrium of time pressure. J. Comput. Aided Des. Comput. Graphics 25(7), 1022–1028 (2013)

    Google Scholar 

  10. Li, J., Xue, C.: Color encoding research of digital display interface based on the visual perceptual Hierarchying. J. Mech. Eng. 52(24), 201–208 (2016)

    Article  Google Scholar 

  11. Li, J., Xue, C., Shi, M., et al.: Information visual structure based on multidimensional attributes of information. J. SE Univ. (Nat. Sci. Ed.) 42(6), 1094–1099 (2012)

    MATH  Google Scholar 

  12. Li, A.: Research on data visualization structure model of big data and high-dimensional information interface. Southeast University (2016)

    Google Scholar 

  13. Wang, H., Xue, C., Shi, M.: Research on digital interface design of complex systems under the influence of automation. Packag. Eng. 4, 36–39 (2014)

    Google Scholar 

  14. Li, J.: Study on visual guidance mechanism of interface information. Southeast University (2017)

    Google Scholar 

  15. Ren, S.: Research on design of natural interactive interface based on situational perception. Southeast University (2016)

    Google Scholar 

  16. Wang, H., Bian, T., Xue, C.: Experimental evaluation of fighter’s interface layout based on eye tracking. Electromech. Eng. 27(6), 50–53 (2011)

    Google Scholar 

  17. Zhang, H., Zhang, C., Zhang, Y., et al.: Study of information coding design of ATC system based on working memory. Sci. Technol. Eng. 17(7), 46–51 (2017)

    Google Scholar 

Download references

Acknowledgement

This work was supported by Jiangsu Province Key Project of philosophy and the social sciences (2017ZDIXM023), Science and technology projects of Changzhou (CE20175032), Jiangsu Province Nature Science Foundation of China (BK20181159, BK20170304), the National Nature Science Foundation of China (Grant No. 71601068, 61603123, 61703140), Outstanding Young Scholars Joint Funds of Chinese Ergonomics Society- King Far (No. 2017-05), Overseas research project of Jiangsu Province (2017), and Fundamental Research Funds for the Central Universities (Grant No. 2015B22714).

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Correspondence to Xiaoli Wu .

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Wang, L., Wu, X., Zhang, W., Zou, Y., Jiang, X. (2020). Analysis on Visual Information Structure in Intelligent Control System Based on Order Degree and Information Characterization. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_44

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  • DOI: https://doi.org/10.1007/978-3-030-20454-9_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20453-2

  • Online ISBN: 978-3-030-20454-9

  • eBook Packages: EngineeringEngineering (R0)

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