摘要
锅炉压力控制是热源厂系统控制的重要组成部分。本文结合BP神经网络的特点,对锅炉的压力进行控制,提高了系统的性能,节约了能源。本文还借助于数据库里存储的数据,再依据MATLAB仿真软件对系统进行了模拟仿真。通过仿真得到的有效数据使系统控制更加精确。
Boiler pressure control is an important part of heating source factory control system In this paper, one method was constructed on the base of BP neural network to increase system performance and save energy. Methods system control and simulation were implemented on the basis of database technology and MATLAB software. The results show that this effective in boiler pressure control.
出处
《信息技术与信息化》
2013年第4期92-94,128,共4页
Information Technology and Informatization
基金
山东省信息产业专项发展项目。项目名称:热力能量自动调节及信息管理系统。项目编号:2007第26-03号
