煤矿安全2019，Vol.50Issue(1)：253-256,4.DOI:10.13347/j.cnki.mkaq.2019.01.062
深度学习及其在煤矿安全领域的应用
Deep Learning and Its Application in Coal Mine Safety
摘要
Abstract
As a recently rising multi-layer neural network learning algorithm, deep learning has rapidly become a hot topic in various fields for its excellent performance. In order to attract more researchers in the field of coal mine safety to explore and discuss the deep learning and to promote the application of deep learning in the field of coal mine safety, this paper describes the progress and application of deep learning in the image recognition and voice recognition in recent years. This paper also analyzes the problems of the miners’ unsafe behavior and status monitoring and the fault detection of mechanical equipment in coal mines, and the training process of the model is proposed by using image recognition and sound recognition separately for corresponding problems.关键词
深度学习/煤矿安全管理/图像识别/声音识别/智能监控Key words
deep learning/coal mine safety management/image recognition/sound recognition/intelligent monitor分类
矿业与冶金引用本文复制引用
杨小彬,周世禄,李娜,王逍遥..深度学习及其在煤矿安全领域的应用[J].煤矿安全,2019,50(1):253-256,4.基金项目
国家自然科学基金资助项目(50904071,51274207) （50904071,51274207）
中央高校基本科研业务费专项资金资助项目(2010QZ01) （2010QZ01）
