首页> 外国专利> METHOD FOR DETERMINING THE END POINT OF CELLULAR COOKING AND ARRANGEMENT FOR CONTROLLING COOKING TIME IN CELLULAR COOKING IN A REACTOR

METHOD FOR DETERMINING THE END POINT OF CELLULAR COOKING AND ARRANGEMENT FOR CONTROLLING COOKING TIME IN CELLULAR COOKING IN A REACTOR

机译:反应器中细胞蒸煮终点的确定方法及控制蒸煮时间的安排

摘要

The aim of the invention is to determine the point in time during pulp cooking at which the viscosity and/or kappa number of the pulp produced have predetermined values. Since these values can be determined only after the cooking process, appropriate models must be used. To that end, use is made of a neural network whose initial value is the desired viscosity and/or kappa number from which the requisite cooking time can be determined and whose initial values are measurement values of the cooking process. According to the invention, the neural network is adapted during the course of a continuous cooking reaction on the basis of a dynamic model of the changing measurement values. Suitable measurement values during pulp cooking are in particular the SO2 content of the cooking acid and the colour value and electrical conductivity or pH value. In the associated arrangement, the model (10) used is a combination of analytical models (101 to 103, 201 to 204) of the process variables with the neuronal network (100, 200).
机译:发明内容本发明的目的是确定纸浆蒸煮期间的时间点,在该时间点,所生产的纸浆的粘度和/或卡伯值具有预定值。由于这些值只能在烹饪过程之后确定,因此必须使用适当的模型。为此,使用了神经网络,其初始值为期望的粘度和/或卡伯值,从中可以确定所需的烹饪时间,并且其初始值为烹饪过程的测量值。根据本发明,在连续的烹饪反应过程中,基于变化的测量值的动态模型来适配神经网络。纸浆蒸煮期间的合适的测量值尤其是蒸煮酸的SO 2含量以及色值和电导率或pH值。在相关的布置中,所使用的模型(10)是过程变量的分析模型(101至103、201至204)与神经网络(100、200)的组合。

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