基于熵的数字化人机交互复杂度研究

发布时间：2018-06-10 16:41

本文选题：熵 + 数字化　；参考：《中国安全科学学报》2015年10期

【摘要】：为预防数字化人机交互系统的人因失误,建立一种分析人机交互复杂度(HMIC)的新方法,并进行实践验证。首先,用信息熵方法研究数字化HMIC。基于数字化控制系统中人机交互与传统系统中的区别,将任务逻辑复杂度(TC)、操作步骤复杂度(OC)、信息复杂度(IC)与知识水平复杂度(KC)确定为度量数字化人机交互复杂性的主要指标,且集成为一个综合性指标-HMIC。然后,基于熵值法建立指标权重调整模型,使静态赋权和动态赋权相结合,增强评价的合理性和科学性。通过欧几里得范数得到HMIC计算模型。用该模型,分析某实际数字化核电厂蒸气发生器传热管破裂(SGTR)应急操作过程的HMIC。结果表明,基于熵的数字化HMIC模型和方法是合理、可行的,适合在工程中应用。
[Abstract]:In order to prevent human error in digital human-computer interaction system, a new method to analyze the complexity of human-computer interaction is established and verified in practice. Firstly, the information entropy method is used to study digital HMICs. Based on the difference between human-computer interaction in digital control system and traditional system, the task logic complexity, operation step complexity, information complexity and knowledge level complexity are determined as the main indexes to measure the complexity of digital human-computer interaction. And integrated into a comprehensive index, HMIC. Then, the index weight adjustment model is established based on entropy method, which combines static weight and dynamic weight to enhance the rationality and scientificalness of evaluation. The HMIC model is obtained by Euclidean norm. The model is used to analyze the emergency operation process of steam generator heat transfer tube (SGTRT) in a digital nuclear power plant. The results show that the model and method of digital HMIC based on entropy are reasonable and feasible and suitable for application in engineering.
【作者单位】：南华大学人因研究所;湖南工学院人因工程与安全管理研究所;
【基金】：国家自然科学基金资助(71071051,71371070) 湖南省战略性新兴产业产学研结合创新平台创新能力建设项目(2012GK4101)
【分类号】：X912.9

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