摘要
通过分析国内外主通风机监控的研究现状,针对当前风量调节算法落后,无法实现安全节能和智能故障诊断等缺点,通过将人工神经网络与智能控制理论相结合,设计矿井智能监控系统,完成主通风机智能监控系统硬件和软件的设计。
By analyzing the research status of main fan monitoring at home and abroad,aiming at the shortcomings of backward air volume regulation algorithm and unable to realize safety,energy saving and intelligent fault diagnosis,the mine intelligent monitoring system is designed by combining artificial neural network with intelligent control theory.Finally,the hardware and software of main fan intelligent monitoring system are designed.
作者
刘宁
Liu Ning(Shanxi Lingshi Huaying Tianxing Jiguang Coal Industry Co.,Ltd.,Jinzhong Shanxi 031300)
出处
《机械管理开发》
2021年第9期276-277,282,共3页
Mechanical Management and Development
关键词
主通风机
智能监控方案
系统设计
main ventilator
intelligent monitoring scheme
system design
