The existing problems and influencing factors of the reheated steam control system of No. 4 Unit in Zhangjiakou Power Plant are presented.
介绍了河北省张家口发电厂4号机组再热汽温调节系统存在的问题及其影响因素。
This thesis researched the models and the learning algorithm of neural network, raised a main steam control system of power station based on neural network.
本文有针对性地对人工神经网络的各种网络模型及学习算法进行了研究，提出一了种基于人工神经网络的电厂主汽温控制系统。
It is proved that the virtual DCS technology based on LN2000 provide a good software tool for training, application, development according to the example of main steam control system.
主汽温控制系统的实例表明了基于LN2000的虚拟dcs技术为DCS的培训、应用和开发提供了良好的软件平台。
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