中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (9): 113-120.doi: 10.16265/j.cnki.issn1003-3033.2025.09.1223

• 安全工程技术 • 上一篇    下一篇

基于脑电信号的不同照度对矿工注意力的影响研究

江松1,2(), 刘迪真1,2,**(), 陈盈1,2, 蒋国炜3, 徐中华4, 何润丰1,2   

  1. 1 西安建筑科技大学 资源工程学院,陕西 西安 710055
    2 西安建筑科技大学 西安智慧工业感知、计算与决策重点实验室,陕西 西安 710055
    3 内蒙古显鸿科技股份有限公司,内蒙古 呼和浩特 010010
    4 中钢集团山东富全矿业有限公司,山东 济宁 272500
  • 收稿日期:2025-04-01 修回日期:2025-06-17 出版日期:2025-09-28
  • 通信作者:
    **刘迪真(1998—),女,陕西西安人,硕士研究生,主要研究方向为智能矿山、矿山人因工程。E-mail:
  • 作者简介:

    江 松 (1990—),男,江西鄱阳人,博士,教授,主要从事智慧矿山、矿山人因工程等方面的研究。E-mail:

    陈盈 讲师

    徐中华 高级工程师

  • 基金资助:
    国家自然科学基金资助(52374136); 陕西省重点研发计划基金资助(2024GX-YBXM-495)

Research on impact of different illuminances on miners' attention based on EEG signals

JIANG Song1,2(), LIU Dizhen1,2,**(), CHEN Ying1,2, JIANG Guowei3, XU Zhonghua4, HE Runfeng1,2   

  1. 1 School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2 Xi'an Key Laboratory for Intelligent Industrial Perception, Calculation and Decision, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    3 Inner Mongolia Xianhong Technology Co., Ltd., Hohhot Inner Mongolia 010010, China
    4 Sinosteel Shandong Fuquan Mining Co., Ltd., Jining Shandong 272500, China
  • Received:2025-04-01 Revised:2025-06-17 Published:2025-09-28

摘要:

为探究井下光照因素对矿工大脑认知的影响变化过程,设计脑电(EEG)试验,结合矿山井下实地采集的光照数据,分析4种不同光照条件(100、60、30、15 lx)对矿工注意力的影响;通过功率谱密度提取采集的EEG信号特征,选用α、β、θ节律波分析注意力特征值;结合舒尔特方格试验验证分析结果。结果显示:能量占比图中β节律波始终占据较大比例,脑地形图中在工况2达到峰值,表示被试集中注意力;4种工况下注意力特征值(β/θ值)均呈现下降趋势,到试验55 min时,工况4相比工况2的β/θ值下降54.86%,表明在光照强度为60 lx时矿工注意力为最佳状态,15 lx时注意力呈现显著衰弱;舒尔特方格试验在工况2的用时最短且出错率最低,同时,可靠度为84.83%,在工况4中可靠度仅为73.15%,矿工出错次数显著增加,注意力呈下降趋势。

关键词: 脑电(EEG), 照度, 矿工注意力, 节律波, 反应时间

Abstract:

To explore the impact of underground lighting on miners' cognition, an EEG experiment was designed under different lighting conditions (100, 60, 30, 15 lx). EEG signals features were extracted using power spectral density, and α, β and θ rhythmic waves were selected for analyzing attention feature values. The analysis results were validated by using the Schultz grid test. The results indicate that β waves always occupy a larger proportion in the energy proportion graph. In the brain map, it reaches the maximum value in working condition 2, indicating that the subject is focused. The attention eigenvalue (β/θ value) shows a downward trend in the four working conditions. The β/θ value of working condition 4 decreases by 54.86% compared with that of working condition 2 at 55 min of the test, which indicates that the miner's attention is optimal at the light intensity of 60 lx, and significantly weakens at 15 lx. The Schultz grid test has the shortest duration and lowest error rate in condition 2, and the reliability reaches 84.83%, while under condition 4, the reliability is only 73.15%. The number of errors made by miners significantly increases, and attention shows a downward trend.

Key words: electroencephalogram (EEG), illumination, miners' attention, rhythm waves, reaction time

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