首页> 外文会议>14th International Conference on Nuclear Engineering(ICONE14) vol.5 >A COMPREHENSIVE EVALUATION METHOD OF HUMAN-MACHINE INTERFACE FOR INDICATOR-METERS BASED ON GRAY THEORY
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A COMPREHENSIVE EVALUATION METHOD OF HUMAN-MACHINE INTERFACE FOR INDICATOR-METERS BASED ON GRAY THEORY

机译:基于灰色理论的指标体系人机界面综合评价方法

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摘要

Meters, especially indicator-meters are the most widely used visual displaying unit of all displaying devices in nuclear power plant. The quality of human-machine interface (HMI) of Meters directly affects the efficiency of human-machine interaction and the performance of the Human-Machine system. Therefore, it is significant to study an appropriate design evaluation technology for indicator-meters. In this study, the authors propose a "qualitative-to-quantitative" comprehensive evaluation method based on the gray relation analysis which could be used for estimating whether the designed HMI system could accord with the desires of users by analyzing the relation degree of factors of a HMI system using the similarities between the evaluation criterion curve and the design scheme curve. Based on the proposed method, a subjective evaluation system of indicator-meter has been developed and an experiment was carried out for evaluating the performance of the HMI system. This paper firstly gives a brief introduction of gray relation analysis and then presents the key evaluation indexes of indicator-meters. Finally, the application of proposed method is illustrated by an example of indicator-meterrnevaluation. The experiment results show that the proposed method is suitable to the comprehensive design evaluation of the HMI system characterized by multi-factor interactions, unknown and uncertain information included.
机译:仪表,特别是指示器仪表是核电站所有显示设备中使用最广泛的视觉显示单元。仪表的人机界面(HMI)的质量直接影响人机交互的效率和人机系统的性能。因此,研究一种适用于指示器仪表的设计评估技术具有重要意义。在这项研究中,作者提出了一种基于灰色关联分析的“定性到定量”综合评估方法,该方法可用于通过分析影响因素之间的关联度来评估设计的HMI系统是否符合用户的需求。一个使用评估标准曲线和设计方案曲线之间相似性的HMI系统。在此基础上,开发了指标仪的主观评价系统,并进行了评价人机界面系统性能的实验。本文首先简要介绍了灰色关联分析,然后提出了指标仪的关键评价指标。最后,以指标计量评价为例说明了该方法的应用。实验结果表明,该方法适用于具有多因素交互,信息未知和不确定性的HMI系统的综合设计评估。

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