An object-oriented knowledge based Petri net approach to intelligent integration of design and assembly planning

X.F. Zha
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引用次数: 55

Abstract

Artificial intelligence can play an important role in the reduction of manufacturing costs and the enhancement of production efficiency and product quality. In order to assist designers in the early stages of a product development this paper develops an intelligent methodology for integration of design and assembly planning processes, including product design, assembly evaluation and redesign, assembly process planning, design of assembly system and assembly simulation, subjected to both econo-technical and ergonomic evaluations. A new unified class of object-oriented knowledge based Petri nets called OOKPNs, incorporating knowledge based expert systems and fuzzy logic into ordinary place–transition Petri nets, is defined and used for the representation and modeling of the distributed design processes. A prototype intelligent integrated design and assembly planning system (IIDAP) is implemented through distributed blackboard structure with concurrent integration of multiple cooperative knowledge sources and software. It consists essentially of the networked agents and the meta-system, each of which is a knowledge Petri net system with the capabilities of problem solving, learning and conflict resolution, and can be obtained through the inheritance, polymorphism and dynamic binding of instances of OOKPNs. In IIDAP system, both C/C++ language and COOL (CLIPS object-oriented language) are used to incorporate a Petri net tool, a geometric modeling and design tool, a planner and simulator and an evaluation tool. By use of this system, product design and assembly planning can be carried out simultaneously and intelligently in an entirely computer-aided concurrent design and assembly planning system. The design of manufacturable, cost-effective, usable products can therefore be achieved rapidly and flexibly. The developed methodology and system have been successfully applied to assembly design and planning of a micro switch.

基于面向对象知识的Petri网设计与装配规划智能集成方法
人工智能可以在降低制造成本、提高生产效率和产品质量方面发挥重要作用。为了帮助设计师在产品开发的早期阶段,本文开发了一种集成设计和装配规划过程的智能方法,包括产品设计、装配评估和再设计、装配工艺规划、装配系统设计和装配仿真,并进行了经济技术和人体工程学评估。定义了一种新的统一的基于面向对象知识的Petri网,称为ookpn,它将基于知识的专家系统和模糊逻辑集成到普通的位置转换Petri网中,并将其用于分布式设计过程的表示和建模。通过分布式黑板结构实现了一个原型智能集成设计与装配规划系统(IIDAP),并将多个协同知识源和软件并行集成。它主要由网络代理和元系统组成,每个元系统都是一个知识Petri网系统,具有解决问题、学习和解决冲突的能力,可以通过ookpn实例的继承、多态性和动态绑定来获得。在IIDAP系统中,采用C/ c++语言和COOL (CLIPS面向对象语言)集成了Petri网工具、几何建模与设计工具、规划与仿真工具和评估工具。利用该系统,可以在一个完全由计算机辅助的并行设计与装配规划系统中同时智能地进行产品设计与装配规划。因此可以快速灵活地设计出可制造的、具有成本效益的、可用的产品。所开发的方法和系统已成功地应用于微动开关的装配设计和规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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