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Research on impact of different illuminances on miners' attention based on EEG signals
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Song JIANG1, 2, Dizhen LIU**, 1, 2, Ying CHEN1, 2, Guowei JIANG3, Zhonghua XU4, Runfeng HE1, 2
China Safety Science Journal | 2025, 35(9) : 113 - 120
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China Safety Science Journal | 2025, 35(9): 113-120
• Safety engineering technology •
Research on impact of different illuminances on miners' attention based on EEG signals
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Song JIANG1, 2, Dizhen LIU**, 1, 2, Ying CHEN1, 2, Guowei JIANG3, Zhonghua XU4, Runfeng HE1, 2
Affiliations
  • 1School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
  • 2Xi'an Key Laboratory for Intelligent Industrial Perception, Calculation and Decision, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
  • 3Inner Mongolia Xianhong Technology Co., Ltd., Hohhot Inner Mongolia 010010, China
  • 4Sinosteel Shandong Fuquan Mining Co., Ltd., Jining Shandong 272500, China
Published: 2025-09-28 doi: 10.16265/j.cnki.issn1003-3033.2025.09.1223
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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.

electroencephalogram (EEG)  /  illumination  /  miners' attention  /  rhythm waves  /  reaction time
Song JIANG, Dizhen LIU, Ying CHEN, Guowei JIANG, Zhonghua XU, Runfeng HE. Research on impact of different illuminances on miners' attention based on EEG signals[J]. China Safety Science Journal, 2025 , 35 (9) : 113 -120 . DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1223
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Year 2025 volume 35 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.09.1223
  • Receive Date：2025-04-01
  • Online Date：2026-07-09
  • Published：2025-09-28
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History
  • Received：2025-04-01
  • Revised：2025-06-17
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Affiliations
    1School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2Xi'an Key Laboratory for Intelligent Industrial Perception, Calculation and Decision, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    3Inner Mongolia Xianhong Technology Co., Ltd., Hohhot Inner Mongolia 010010, China
    4Sinosteel Shandong Fuquan Mining Co., Ltd., Jining Shandong 272500, China
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https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2025.09.1223
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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