古龙酸工业发酵过程的拟在线补料优化

Pseudo-on-line optimal scheduling for 2-keto-L-gulonic acid fermentation processes

针对古龙酸工业发酵车间传统的、L-sorbose资源平均分配的生产方式,提出了基于模糊逻辑的优化调度,根据发酵过程效益函数的实际值和预报值对发酵批次在线分类用以实时评估过程的运行状态,获得批次的创利潜能,据此来确定该批次的补料量,利用模糊逻辑理论预估执行补料操作后的发酵周期,从而得出实施补料优化操作后的收益增量。这样的补料优化方法重新确定L-sorbose在各个运行批次中的补料方案,从而使多罐并列运行车间L-sorbose资源得到最有效利用,使车间的整体收益最大化。通过对背景厂2-KGA工业发酵车间的历史批次进行拟在线优化调度验证该补料策略的有效性与优越性。

In 2-keto-L-gulonic acid（2-KGA） industrial fermentation workshop, L-sorbose resource is allocated evenly among batches without taking the batch-to-batch variations into account. A fuzzy logic based scheduling approach is proposed to improve the allocation of L-sorbose resource with the aim of maximizing the economic profit of the multi-bioreactor workshop. The profit-making ability of each 2-KGA batch is evaluated by the online classification of the profit function. The batches with high profit-making potential will be assigned more L-sorbose, and its cultivation period is estimated with fuzzy logic method. The cultivation of these excellent batches is lengthened and their profit contribution is exploited. As a result, the scheduling strategy will yield higher overall profit. Pseudo-on-line scheduling is carried out by using the data of industrial 2-KGA batches and the profit increment is then calculated.