声音识别技术在矿井提升系统改造方案中的应用
Application of Voice Recognition Technology in Mine Hoisting System Renovation Program
冯宏普 1刘振华 1高委员 1张敬东2
作者信息
- 1. 兖矿能源集团股份有限公司东滩煤矿,山东 邹城 273500
- 2. 兖矿能源集团股份有限公司杨村煤矿,山东 济宁 272000
- 折叠
摘要
分析声音识别技术在矿井提升系统改造中的应用,通过构建基于深度学习的声音识别模型,实时监测提升机的运行状态.采用对比实验方法,评估改造前后的系统性能.实验结果表明,基于声音识别技术的智能化改造显著提升了系统的各项性能指标,在提高矿井提升系统智能化水平和运行安全性方面具有重要的应用价值.
Abstract
This article analyzes the application of voice recognition technology in the transformation of mine hoisting system.By constructing a voice recognition model based on deep learning,the real-time monitoring of the operation status of the hoisting machine is achieved.Using comparative experimental methods,evaluate the system performance before and after the renovation.The experimental results show that the intelligent transformation based on voice recognition technology significantly improves the performance indicators of the system,and has important application value in improving the intelligence level and operational safety of mine hoisting system.
关键词
声音识别/矿井提升系统/深度学习Key words
voice recognition/mine hoisting system/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据