摘要
通过对某石化公司循环冷却水水质数据的分析,利用Matlab建立BP神经网络水质预测模型,并用遗传算法对其进行优化,然后利用VS2010调用该模型的.NET组件,在循环工业冷却水预测软件中显示出预测曲线图,综合Matlab与C#的优点对二者进行混合编程。结果证明应用此方法可以使复杂的运算在Matlab中进行,并通过参数传递将预测结果显示在VS2010编写的软件界面中,满足运算和HMI的设计需要。
Through analyzing the circulating cooling water＇s quality data of a petrochemical company and making use of Matlab,the BP neural network-based model for water quality prediction was established and optimized with genetic algorithm; and employing VS2010 to call.NET component of the model and to display the predicted graph in circulating cooling water＇ s forecast software,as well as to take advantages of Matlab and C # to implement mixed programming.The results show that this method can realize a complex operation in Matlab and through parameter passing,and can display the prediction results in software interface written by VS2010 so as to satisfy both operation and HMI.
出处
《化工自动化及仪表》
CAS
2014年第4期423-426,433,共5页
Control and Instruments in Chemical Industry
关键词
水质预测
混合编程
神经网络
遗传算法
water quality forecast
mixed programming
neural network
genetic algorithm
