适应调度环境下的知识系统设计

Design of Knowledge-based System for Adaptive Scheduling

构建性能优良的知识系统是对复杂制造系统实现有效适应调度的关键。提出了一种在适应调度环境下知识系统的设计方法。这种方法使用统一建模语言对知识系统的分析、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。使用这种设计方法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。给出了实例验证了该方法的可行性和有效性。

It is critical that a better Knowledge-Based System （KBS） was constructed to fulfill an efficient adaptive scheduling to the complex manufacturing system. A method for developing and documenting the KBS for adaptive scheduling, using the Unified Modeling Language （UML） was presented. It employed UML to describe the system analysis, system design and system implementation of KBS, so various views were built up to explore the static structure and dynamic behavior of KBS. This method alleviates the highly dependent on domain knowledge experts. The quality and efficiency of the KBS were improved. A case was given to illustrate the feasibility and validity of the proposed approach.