A Knowledge-Based System for Spinning Management

ROSA MARIA VASCONCELOS

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A Knowledge-Based System for Spinning Management

机译：基于知识的纺纱管理系统

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This paper describes the development of a knowledge-based system to support and improve the spinning process. It is divided in three parts. The first part describes a statistical study using sixteen raw cottons and three kinds of yarn. A set of mathematical models describes the relationships between cotton fiber and yarn properties. Eighteen different models have been identified according to different control processes (HVI motion control and Spinlab and individual instruments) and different production processes (ring and rotor spinning, OE RU 14 Spincomat and Autocoro 117). The second part details the implementation of the knowledge-based system using the programming languages PROLOG and C. The knowledge base uses a framework shell (flex or forward logical expert systems) that interfaces with PROLOG. This prototype can be used either to predict the characteristics of the yarn according to those of the available raw materials, or to select the raw materials adequate to produce yarn with specific characteristics. The last section presents some conclusions of the work.

机译：本文介绍了基于知识的系统的开发，以支持和改进纺纱过程。它分为三个部分。第一部分描述了使用十六种原棉和三种纱线的统计研究。一组数学模型描述了棉纤维和纱线性能之间的关系。根据不同的控制过程（HVI运动控制，Spinlab和单个仪器）和不同的生产过程（环锭纺和转杯纺纱，OE RU 14 Spincomat和Autocoro 117），已经确定了18种不同的模型。第二部分详细介绍了使用编程语言PROLOG和C实现基于知识的系统。知识库使用与PROLOG交互的框架外壳（灵活或前向逻辑专家系统）。该原型可用于根据可用原材料的特性预测纱线的特性，或选择足以生产具有特定特性的纱线的原材料。最后一部分介绍了这项工作的一些结论。

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来源
《Textile Research Journal》 |1996年第4期|p.265-268|共4页
作者
ROSA MARIA VASCONCELOS;
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作者单位

Departamento de Engenharia Textil, Escola de Engenharia, Universidade do Minho, Portugal;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类纺织工业、染整工业;
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A Knowledge-Based System for Spinning Management

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