基于知识的毛纺产品工艺设计智能模型研究

毛纺产品的生产是一个复杂的工业过程，其工艺设计严重依赖于专家知识和经验，完整准确的数学描述显得十分困难。提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（CBR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。实例显示，智能化技术在毛纺工艺设计中具有良好的应用前景。     

A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization

The textile process planning is a knowledge reuse process in nature, which depends on the expert＇s knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model （HIRM） for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized.     

基于智能技术的精毛纺织品全程虚拟加工系统

为实现精毛纺织品全程的虚拟加工,通过对各主要工序特点和加工参数的分析,提出了模型建立的参数和思路.利用企业实际生产加工数据建立的粗纱、细纱、织造和后整理预报模型,除经向缩水率和经纬向汽蒸收缩率3项指标的平均预报精度较低外,其余工序各指标均高于80%,使虚拟加工技术的实现成为可能.虚拟加工实例的结果表明,利用虚拟加工技术可以提高纺织企业管理、决策、生产成本核算以及工艺优化的效率和科学性.