Article(id=1282032435646935691, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282032292440805784, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.09.1223, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1743436800000, receivedDateStr=2025-04-01, revisedDate=1750089600000, revisedDateStr=2025-06-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589951668, onlineDateStr=2026-07-09, pubDate=1758988800000, pubDateStr=2025-09-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589951668, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589951668, creator=13701087609, updateTime=1783589951668, updator=13701087609, issue=Issue{id=1282032292440805784, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='9', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1758988800000', pubDateStr='2025-09-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589917526, creator='13701087609', updateTime=1783593837820, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048735404344166, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282032292440805784, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048735404344167, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282032292440805784, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=113, endPage=120, ext={EN=ArticleExt(id=1282032440319390349, articleId=1282032435646935691, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Research on impact of different illuminances on miners' attention based on EEG signals, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

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.

, authors=Song JIANG^{1, 2}, Dizhen LIU^{**, 1, 2}, Ying CHEN^{1, 2}, Guowei JIANG³, Zhonghua XU⁴, Runfeng HE^{1, 2}, authorsList=Song JIANG, Dizhen LIU, Ying CHEN, Guowei JIANG, Zhonghua XU, Runfeng HE, authorCompany=null, correspAuthors=Dizhen LIU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282032449874014864, articleId=1282032435646935691, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于脑电信号的不同照度对矿工注意力的影响研究, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

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。

, authors=江松教授^{1, 2}, 刘迪真^{**, 1, 2}, 陈盈讲师^{1, 2}, 蒋国炜³, 徐中华高级工程师⁴, 何润丰^{1, 2}, authorsList=江松教授, 刘迪真, 陈盈讲师, 蒋国炜, 徐中华高级工程师, 何润丰, authorCompany=null, correspAuthors=刘迪真, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=ENjH3z6vg+dKkBtlkBiDnQ==, magXml=NzIQlA/2Ngp1cC2gosLmvQ==, pdfUrl=null, pdf=Rccmkask8Adwuu+n44mVUQ==, pdfFileSize=6689284, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=JqsFYJWhqNjTONr/3SB+lg==, mapNumber=null, fund=null)}, authors=[Author(id=1282032458602361502, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282032435646935691, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=jiangsong@xauat.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282032459562857121, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282032435646935691, authorId=1282032458602361502, language=EN, stringName=Song JIANG, firstName=Song, middleName=null, lastName=JIANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
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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: jiangsong@xauat.edu.cn。

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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: jiangsong@xauat.edu.cn。

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