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专利名称: 一种球磨机水泥生料粉磨粒度软测量方法
其他题名: Soft measurement method for granularity of cement raw material grinded by ball mill
作者: 于海斌; 王卓; 刘钊; 苑明哲
所属部门: 信息服务与智能控制技术研究室
专利权人: 中国科学院沈阳自动化研究所
专利代理: 沈阳科苑专利商标代理有限公司 21002
专利国别: 中国
专利类型: 发明
专利状态: 有效
摘要: 本发明涉及一种球磨机水泥生料粉磨粒度软测量方法。辅助变量的选择:以选粉机转速、喂料流量和选粉机入口风压,选粉机负荷作为成品粒度软测量模型的辅助变量。数据预处理:对原始数据进行筛选、滤波和标准化。基于GA-NN(遗传算法优化神经网络)的软测量建模:基于GA(遗传算法)算法提出了一种用于神经网络训练的学习算法,将网络中需要调整的权值看成是染色体的基因,通过染色体的选择、交叉和变异来完成网络训练过程。软测量模型的校正:采用长期校正的方式。本发明能够测量出难以直接检测而又十分重要的成品粒度参数,使面向球磨机生料粉磨过程先进控制和优化方法的实施成为可能。
英文摘要: The invention relates to a soft measurement method for granularity of cement raw material grinded by ball mill. The method comprises: selection of auxiliary variables, wherein a rotating speed of a powder concentrator, a feeding flow, an inlet wind pressure of the powder concentrator and a load of the powder concentrator are used as auxiliary variables of the soft measurement model for granularity of finished products Data pre-treatment, wherein original data are screened, filtered and standardized soft measurement modeling based on GA-NN (genetic algorithm optimized neural network), wherein a learning algorithm used for neural network training is brought forward based on GA (genetic algorithm), weights needed to be adjusted in a network are recognized as chromosomal genes, and the network training process is completed through chromosome selection, crossover and mutation and correction of the soft measurement model by using a long-term correction way. The method can measure quite important finished product granularity parameters which are hard to be directly detected, thereby being capable of implementing advanced control and optimized method for a raw material grinding process by the ball mill.
是否PCT专利:
申请日期: 2013-04-18
公开日期: 2013-10-09
授权日期: 2014-05-07
专利申请号: CN201310136630.7
公布/公告号: CN103344530A
语种: 中文
产权排序: 1
内容类型: 专利
URI标识: http://ir.sia.cn/handle/173321/14145
Appears in Collections:信息服务与智能控制技术研究室_专利

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Recommended Citation:
于海斌,王卓,刘钊,等. 一种球磨机水泥生料粉磨粒度软测量方法. CN103344530A. 2013.
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文件名: CN201310136630.7.pdf
格式: Adobe PDF
文件名: CN201310136630.7授权.pdf
格式: Adobe PDF
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