CAJ | 학술논문

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。
과로압력공제시열원엄계통공제적중요조성부분。본문결합BP신경망락적특점，대과로적압력진행공제，제고료계통적성능，절약료능원。본문환차조우수거고리존저적수거，재의거MATLAB방진연건대계통진행료모의방진。통과방진득도적유효수거사계통공제경가정학。
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.