首页> 外文会议>Conference of the International Society of Sugar Cane Technologists >NEURAL NETWORKS MODEL OF MOTHER LIQUOR PURITY OF C MASSECUITE
【24h】

NEURAL NETWORKS MODEL OF MOTHER LIQUOR PURITY OF C MASSECUITE

机译:C类MasseCuite母液纯度的神经网络模型

获取原文

摘要

Crystallisation is an important stage in the manufacturing process of sugar cane. In Bois Rouge sugar mill, the crystallisation process is performed in three stages. Our work deals with C crystallisation. During crystallisation, purity of mother liquor is a parameter of importance as it indicates the concentration of sucrose remaining in solution. The final productivity of the sugar cane conversion is dependent on the efficiency of C crystallisation. In Bois Rouge sugar mill, no physical measure is available concerning exhaustion on-line in C crystallisation. To observe the dynamic exhaustion of mother liquor during the growing stage, we took samples of molasses and massecuite every ten minutes. These samples were analyzed to determine purity of mother liquor. Then, we built a multi-step predictor of mother liquor purity using physical measures on-line and off-line. First results are very encouraging.
机译:结晶是甘蔗制造过程中的一个重要阶段。在Bois Rouge糖厂中,结晶过程在三个阶段进行。我们的工作涉及C结晶。在结晶期间,纯度的纯度是重要性的参数,因为它表明溶液中残留的蔗糖浓度。甘蔗转化的最终生产率取决于C结晶的效率。在Bois Rouge Sugar Mill中,没有物理措施在C结晶中耗尽耗尽。为了观察生长期间母液的动态耗尽,每十分钟拍摄糖蜜和Massecuite的样品。分析这些样品以确定母液的纯度。然后,我们在线和离线在线和离线使用物理测量构建了母液纯度的多步预测因子。第一个结果非常令人鼓舞。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号