基于BP神经网络的通风机自动监测控制系统研究

Research on Automatic Monitoring and Control System of Ventilator Based on BP Neural Network

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.