一种影响织造过程的不确定性预测理论模型

以纺织企业织造过程中常出现的诸如设备“丢产”、“虚产”,人为“估产”,以及监控系统的“数据异常”等异常现象为切入点,对织造过程中实际存在的问题进行了研究,并对影响织造过程异常的不确定性因素进行了分析；从人、机、材料、方法、环境等角度出发对各类不确定性因素进行了分类整理,构建了一种基于多Agent的织造过程不确定性预测模型；在此模型下,构建了一种多源纺织信息融合模型,并对多源纺织信息融合处理的过程、方法、基本原理、基本步骤,以及人—机—环境脆性模型进行了阐述,给出了一种解决“异常现象”的理论模型,实现了对织造过程不确定性预测的目的.

A Theoretical Model of the Uncertainty Forcasting on Weaving Process

Aiming at some abnomal problems such as lost yeld and virtual yield for the equipment, estimation yield for the worker,and data exception for the monitoring system and such,occurring frequently in the weaving process of the textile enterprises, above all, the exsist problems with weaving process are studied including the uncertainties that lead the abnormal events. Then all kinds of the uncertainties are classified and sorted from the perspective of man, machine, material, methods and the environment and such. A multi-agent forcasting theory model for the uncertainties of weaving process is proposed. Under this theoretical model, a multi-source textile information fusion model is built including process, method, basic principles and steps of multi-source textile information fusion, as well as man-machine-environment brittle model. Finally, a theoretical model to solve the abnomal problems is given, consequently, the purpose of the prediction of the uncertainties in the weaving process achieved.