模型中各系数与运行工况有关，可根据当前的汽包压力、锅炉物理结构数据及水蒸汽性质得到。
The parameters of the model can be obtained from the pressure in the drum, the physical dimensions and characteristics of the boiler and the steam and water parameters table.
基于现场数据与神经网络的建模理论，建立了火电机组汽包压力与主汽压力的动态模型，并对所建立的汽压增量模型进行了仿真研究。
Based on on-line data and the modeling theory of neural network, the dynamic models of drum steam pressure and main steam pressure are established.
以推钢式连续加热炉为对象，建立了炉底纵水管自然循环汽化冷却系统的流动及传热数学模型，并根据该模型计算出汽包压力对系统工作指标的影响。
The fluid and heat transfer math model in a steam cooling system with natural cycle has been built up on the pusher reheating furnace.
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