基于UML的适应调度知识系统开发

Development of adaptive scheduling knowledge-based system based on UML

对复杂制造系统进行有效的适应调度,构建性能优良的知识系统是基础和核心。采用统一建模语言对适应调度知识系统的分析、设计和实现进行描述,建立了反映知识系统静态结构和动态行为的各种视图,使用对象约束语言对在系统设计中出现的类对象进行精确语义约束。使用这种建模技术减小了对领域知识专家的严重依赖,提高了知识系统开发的质量和效率。最后给出了应用实例验证该方法的可行性。

It is a fundamental and core issue that constructing better knowledge-based system to fulfill an efficient adaptive scheduling to complex manufacturing system. The adaptive scheduling Knowledge-Based System（KBS） analysis, design and implementation were described by utilizing Unified Modeling Language （UML）, various views were built up to explore the static structure and dynamic behavior, and the semantics of class was accurately constrained by using Object Constraint Language （OCL）. The high dependence on domain knowledge experts was alleviated through applying this modeling technology. The quality and efficiency of KBS were improved. Finally a practical application was given to validate the feasibility of the proposed methodology.