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

机译:基于对象的知识的Petri网方法可将设计与装配计划进行智能集成

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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 econotechnical 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.
机译: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。为了帮助设计人员在产品开发的早期阶段,本文开发了一种智能方法,用于集成设计和组装计划过程,包括产品设计,组装评估和重新设计,组装过程计划,组装系统设计和组装仿真,经济技术和人体工程学评估。定义了一种新的面向对象的基于知识的Petri网的统一类,称为OOKPNs,它将基于知识的专家系统和模糊逻辑合并到普通的位置转换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并同时集成多个协作知识源和软件来实现原型智能集成设计和装配计划系统(IIDAP)。它主要由网络代理和元系统组成,每个系统都是一个知识Petri网系统,具有解决问题,学习和解决冲突的能力,并且可以通过OOKPN实例的继承,多态和动态绑定获得。 。在IIDAP系统中,C / C ++语言和COOL(CLIPS面向对象语言)都用于合并Petri网工具,几何建模和设计工具,规划器和模拟器以及评估工具。通过使用该系统,可以在完全由计算机辅助的并行设计和装配计划系统中同时智能地执行产品设计和装配计划。因此,可以快速,灵活地实现可制造,具有成本效益的,可用产品的设计。所开发的方法和系统已成功应用于微型开关的装配设计和规划。

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