摘要
对现有风机控制系统缺点分析的基础上,提出了一种新的基于BP神经网络的通风机自动监测控制系统。该系统能够对各传感器监测的数据进行优化分析修正,减少传感器监测数值的误差,提高控制系统控制的精确性,实现了对通风机系统的自动精确控制,降低了通风机系统的电能消耗。
Based on the analysis of the shortcomings of the existing fan control system,a new fan automatic monitoring and control system based on BP neural network is proposed.The system can optimize,analyze and modify the monitoring data of each sensor,reduce the error of the monitoring data of the sensor,improve the accuracy of the control system,realize the automatic and accurate control of the fan system,and reduce the power consumption of the fan system.
作者
田贵斌
Tian Guibin(Ventilation Area of Datong Coal Mine Group Sitai Coal Mine,Datong Shanxi 037007)
出处
《机械管理开发》
2018年第12期221-222,共2页
Mechanical Management and Development
关键词
BP神经网络
PID控制
优化修正
BP neural network
PID control
optimization correction
