在混凝土结构中，由于混凝土导热系数小，外部环境急变时，内部温度变化存在明显的滞后现象。
In concrete structure, due to coefficient of conduction for concrete is small, when external environment changes sharply, the change for internal temperature has distinct hysteresis.
为了克服这种不协调现象，针对涂料生产线中温度控制大滞后、非线性等特点，本文在神经网络PID控制的基础上，引入预测控制思想。
To overcome the mismatch, with the backward, non-linear characteristics of temperature control of dope production, the paper introduces the predictive controls based on the neural network PID.
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