公开(公告)号：US08679293B2

公开(公告)日：2014-03-25

申请号：US12598644

申请日：2008-05-02

申请人： Feng Ding ,  Ilich Lama ,  Richard Gagnon ,  Claude Lejeune

发明人： Feng Ding ,  Ilich Lama ,  Richard Gagnon ,  Claude Lejeune

IPC分类号： D21C7/12

CPC分类号： D21D1/002 ,  D21G9/0018

摘要： A system and method for optimizing a process for refining lignocellulosic granular matter such as wood chips use a predictive model including a simulation model based on relations involving a plurality of matter properties characterizing the matter such as moisture content, density, light reflection or granular matter size, refining process operating parameters such as transfer screw speed, dilution flow, hydraulic pressure, plate gaps, or retention delays, at least one output controlled to a target such as primary motor load or pulp freeness, and at least one uncontrolled output such as specific energy consumption, energy split, long fibers, fines and shives. An adaptor is fed with measured values of matter properties and measured values of controlled and uncontrolled outputs, to adapt the simulation model accordingly. An optimizer generates a value of the target according to a predetermined condition on a predicted uncontrolled output parameter and to one or more process constraints.

摘要翻译： 用于优化木质纤维素颗粒物质如木屑的方法的系统和方法使用预测模型，其包括基于涉及表征物质的多个物质性质的关系的模拟模型，例如水分含量，密度，光反射或颗粒物质尺寸 精炼过程操作参数，例如转印螺杆速度，稀释流量，液压，板间隙或保持延迟，至少一个控制到目标的输出，例如初级马达负载或纸浆游离度，以及至少一个不受控制的输出， 能量消耗，能量分裂，长纤维，罚款和数量。 给适配器馈送测量的物质属性值和受控和不受控输出的测量值，以便相应地适应仿真模型。 优化器根据关于预测的不受控输出参数的预定条件和一个或多个过程约束生成目标值。