Information Visualization Design of Nuclear Power Control System Based on Attention Capture Mechanism

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Abstract

This paper takes information features of the main control room display of nuclear power plant for analysis, in which the design factors are extracted base on the monitoring interface task and visual cognitive law. With respect to the visual design method of interface presentation, we explore the design of the information display system of boron and water supply system. We determine the important information elements that can be improved in monitoring behavior, and optimize them according to their characteristic attributes. We group interface information according to task relevance, and design the color coding of the group information according to the structure of visual perception and the characteristics of color perception level. The information color between different levels could be adjusted according to readability and importance. The results of experiments verify the validity of the color coding method based on attention capture. According to the results, a visual design model of nuclear power control system information is established based on the research from the local interface icon to the overall presentation. This method can provide reference for the design of control system interface of nuclear power plant, and even improve the cognitive performance of operators and the safety and reliability of power plant operation.

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APA

Wu, X., & Xu, P. (2020). Information Visualization Design of Nuclear Power Control System Based on Attention Capture Mechanism. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12425 LNCS, pp. 138–149). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60128-7_11

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