基于紧急操作程序的核电站DCS系统中人机交互中的任务复杂性测量的研究
1School of Nuclear Science and Technology, University of South China, Hengyang 421001, China.
Entropy (Basel, Switzerland)
|June 26, 2025
概括
本研究引入了一种新的模型,通过结合Halstead的E测量和度量来量化核电站 (核电站) 的任务复杂性. 这种方法增强了人机交互 (HCI) 并提高了数字化转型期间的安全性.
科学领域:
- 核工程 核工程是指核工程.
- 人与计算机的交互
- 软件工程 软件工程 软件工程
背景情况:
- 核电厂 (NPP) 的数字化转型突显了人机交互 (HCI) 在运营安全方面的关键作用.
- 在核电站内评估HCI任务复杂性的现有方法存在局限性,特别是在分析交互过程时.
研究的目的:
- 在核电站中开发动态任务执行复杂度 (TEC) 的定量模型.
- 通过将Halstead的E测量与基于的指标集成,建立一个全面的任务复杂性量化框架.
- 通过使用紧急操作程序 (EOPs) 验证拟议的复杂性模型的有效性,用于小断裂冷却液损失事故 (SLOCA).
主要方法:
- 系统地审查和分析HCI中现有的复杂性来源和评估方法.
- 介绍Halstead的E测量量来量化任务执行复杂性 (TEC) 通过分析运算符和操作数.
- 应用度指标来评估任务逻辑复杂性 (TLC),任务规模复杂性 (TSC) 和任务信息复杂性 (TIC).
- 开发一个加权的欧几里德规范来确定总体任务复杂性 (TC).
- 实验验证使用NASA-TLX主观任务负载分数和任务执行时间进行回归分析.
主要成果:
- 拟议的模型成功地通过结合内在和执行维度来量化任务的复杂性.
- 任务复杂性与NASA-TLX主观得分 (R2=0.679) 和任务执行时间 (R2=0.785) 有显著的正相关性.
- 复杂度指标具有很高的解释能力,验证了模型的有效性.
结论:
- 开发的任务复杂性量化模型对于正在进行数字化转型的核电站是有效的.
- 该模型为改进人机接口和紧急操作程序提供了宝贵的见解.
- 这种定量方法通过解决HCI复杂性来提高核电站运营的安全性和稳定性.
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