A Study on Methodology of Production Line Control and Quality Assurance System under CIM Environment

随着CIM--计算机集成制造在工业中的迅速引入，过程控制和质量保证的作用变得更加重要。这些系统成功实施的前提是控制数据实时监测的发展和完善，本研究旨在开发支持这种实时监测的方法和工具。本研究取得的具体成果如下：1.设计了一个基于定性仿真技术的框架，便于建立支持过程控制系统开发的模型库。这些系统实现了实时过程控制和质量保证，以及对生产系统未来状态的预测。这种方法被测试并应用于一个实际问题，以控制光敏滚筒生产中的涂装过程。这项测试导致了…的开发更多的原型系统。本研究还没有完全实现研究计划中提出的构建人机界面的目标，但通过对实际运行数据进行详细的系统分析，证明了该方法的有效性。开发一个原型系统，作为实时分析质量信息的工具。该系统采用ARIMA模型对质量相关信息序列进行分析。该系统除了具有预测一系列需求信息的能力外，还便于参考和选择合适的分析方法，以考虑到现有的时间控制的过程数据结构。基于制造过程的实时质量信息，基于MDL最小描述语言，建立了一种学习增量式概念聚类方法。这种方法在未来可能允许构建用于识别缺陷及其发生模式的自动工具。较少

Due to the fast introduction of CIM-Computer Integrated Manufacturing in the industries, it is becoming even more important the role played by process control and quality assurance. The pre-condition for the successful implementation of these systems is the development and improvement of real-time monitoring of the control data.This research is aimed in the development of methods and tools to support this real-time monitoring. The concrete results obtained in this research is listed below:1. Design of a framework, which based on the application of qualitative simulation technique, facilitates the creation of model bases to support the development of process control systems. These systems enable the real-time process control and quality assurance, as well as forecasting of future status of the production systems. This methodology was tested and applied to an actual problem to control the coating process in the production of light sensing drums. This test resulted in the development of a … More prototype system. This study still not totally accomplishes the objective of building a man-machine interface as proposed in the research plan, but the proposed approach demonstrated its effectiveness through allowing detailed analysis of the system based on actual operating data.2. Development of a prototype system as a tool for real time analysis of the quality information. This system applies ARIMA model for analyzing sequence of quality related information. This system besides the capacity for forecasting the series of demand information, it also facilitates the consultation and selection of proper analytical methods considering the existing time-controlled process data structure.3. Based on the real time quality information about manufacturing process and on the MDL-Minimum Description Language a learning incremental concept clustering method is built. This method may allow, in the future, the construction of automatic tools for the identification of defects and the patterns of their occurrence. Less