中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (11): 229-238.doi: 10.16265/j.cnki.issn1003-3033.2024.11.0655

• 职业卫生 • 上一篇    下一篇

融合眼动-心电的地下洞室施工环境驾驶负荷评价

陈云1,2(), 何诗语1,2, 晋良海1,2, 陈述1,2,**(), 曾沁1,2, 刘皓1,2   

  1. 1 三峡大学 水电工程施工与管理湖北省重点实验室,湖北 宜昌 443002
    2 三峡大学 水利与环境学院,湖北 宜昌 443002
  • 收稿日期:2024-05-20 修回日期:2024-08-21 出版日期:2024-11-28
  • 通信作者:
    ** 陈述(1986—),男,湖北英山人,博士,教授,主要从事工程施工安全管理方面的研究。E-mail:
  • 作者简介:

    陈云 (1993—),男,湖北宜昌人,博士,副教授,主要从事安全管理方面的研究。E-mail:

    晋良海, 教授

  • 基金资助:
    国家自然科学基金(52209163); 国家自然科学基金(52479127); 国家自然科学基金(52179136)

Evaluation of driving load in construction environment of underground tunnel based on eye-ECG physiological indicators

CHEN Yun1,2(), HE Shiyu1,2, JIN Lianghai1,2, CHEN Shu1,2,**(), ZENG Qin1,2, LIU Hao1,2   

  1. 1 Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang Hubei 443002, China
    2 College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang Hubei 443002, China
  • Received:2024-05-20 Revised:2024-08-21 Published:2024-11-28

摘要:

为探究地下洞室施工环境下驾驶负荷变化特征,搭建试验平台并开展地下洞室施工环境下的驾驶模拟试验,获取驾驶员眼动及心电(ECG)数据;以心率、心率变异性(HRV)时域指标及平均眨眼次数(BF)为参量,构建基于因子分析与熵值法的驾驶负荷综合评价模型,并提出基于K-means聚类算法的驾驶负荷等级划分方法。结果表明:地下洞室非施工路段环境相对单调,心理压力相比视觉压力能更准确地反映驾驶负荷;施工路段环境复杂多变,心理压力易受驾驶操作影响,而当视线受限时,单一的视觉压力指标易高估驾驶负荷;基于眼动-心电建立的驾驶负荷综合评价模型灵敏度高、稳定性好,可校正单一指标的评价结果,有效量化驾驶负荷。

关键词: 眼动, 心电(ECG), 地下洞室, 驾驶负荷, 施工环境

Abstract:

To explore the changing characteristics of driving load under the construction environment of underground tunnels, a test platform was built, and a driving simulation test was carried out in the construction environment of underground tunnels to obtain the driver's eye movement and ECG data. Taking the time domain index of heart rate, heart rate variability(HRV) and average number of blinks frequency(BF) as parameters, a comprehensive evaluation model of driving load based on factor analysis and entropy was constructed, and a classification method of driving load based on K-means clustering algorithm was proposed. The results show that in the relatively monotonous environment of non-construction sections in underground tunnels, psychological pressure could more accurately reflect the driving load compared to visual pressure. However, in the complex and changeable environment of construction section, psychological pressure is prone to being influenced by driving operations. Moreover, when line of sight is limited, a single visual pressure indicator tends to overestimate the driving load. The comprehensive evaluation model of driving load based on eye movement and ECG exhibits high sensitivity and good stability, and can correct the evaluation results of a single indicator and effectively quantify driving load.

Key words: eye movement, electrocardiogram(ECG), underground tunnel, driving load, construction environment

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