摘要
煤矿安全生产一直备受关注,如何确保矿工人身安全、确定隐藏险情模糊位置,一直是煤矿安全生产领域的研究重点。针对如何在井下复杂的环境中确定险情位置,提出一种井下险情模糊位置辨析方法。将收集到的矿工语音数据在移动端转化为文本数据,并对该数据进行模糊数据补全,通过优先级的策略补全数据集。最后,结合矿工的状态,通过质心算法确定险情位置。
Coal mine safety production has always been concerned.How to ensure miners'personal safety and determine the fuzzy position of hidden danger has always been the research focus in the field of coal mine safety production.Aiming at how to determine the dangerous posi⁃tion in the complicated underground environment,this paper puts forward a method of distinguishing the fuzzy position of underground danger⁃ous situation.The collected miners'voice data is converted into text data at the mobile terminal,and fuzzy data is completed for this data,and the data set is completed by priority strategy;Finally,combined with the status of miners,the dangerous position is determined by centroid al⁃gorithm.
作者
孙长春
黄晓凡
苏令印
徐金陵
汤效平
王兹尧
林泽东
SUN Changchun;HUANG Xiaofan;SU Lingyin;XU Jinling;TANG Xiaoping;WANG Ziyao;LIN Zedong(Beijing Huadian Leadtop Energy Technology Co.,Ltd.,Beijing 102400,China;Huadian Electric Power Research Institute Co.,Ltd.,Hangzhou 310012,China;College of Computer Science and Technology,Shandong University of Science and Tech-nology,Qingdao 266590,China;School of Mines,China University of Mining and Technology,Xuzhou 221116,China)
出处
《软件导刊》
2023年第8期99-103,共5页
Software Guide
基金
华电集团重点科技项目(CHDKJ21-01-22)
山东省泰山学者工程专项基金项目(ts20190936)
山东省高等学校青创科技支持计划项目(2019KJN024)。
关键词
煤矿安全
隐藏险情
位置辨析
文本数据
数据处理
coal mine safety
hidden danger
position discrimination
text data
data processing
