An AI-based manufacturing design rule checker and path optimizer for PCB production preparation and manufacturing

A. Hidde, A. Gierse
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引用次数: 2

Abstract

The authors discuss printed circuit board (PCB) manufacturing design rule checking (MDRC) in combination with the path optimizing of the assembly process in a heterogeneous, distributed, and networked information system environment linked with databases in a defined factory infrastructure. An increase in the degree of automation requires greater continuity of information flow starting with the customer order through to the sensor and actuator layer of manufacturing machinery. After the presentation of information infrastructure models such as the hierarchical production control system and the Y-model, the manufacturing design system (MDS) for the production preparation environment is derived which contains also the manufacturing design rule checking and path optimizing applicable to the PCB assembly process. In particular, the linkage between the design rule checking and the path optimizing process via the hierarchical two-phase cross-linked unit formation method based on technical and strategic characteristics is considered. The assembly process of a PCB with different components is cited as an example. The software package is written in the artificial-language Common LISP with the dialect SCHEME.<>
基于人工智能的PCB生产准备和制造设计规则检查和路径优化器
作者讨论了印刷电路板(PCB)制造设计规则检查(MDRC)与装配过程的路径优化相结合的异构,分布式和网络化的信息系统环境与数据库连接在一个已定义的工厂基础设施。自动化程度的提高需要信息流的更大连续性,从客户订单到制造机械的传感器和执行器层。在给出了分层生产控制系统和y模型等信息基础结构模型的基础上,推导出了面向生产准备环境的制造设计系统(MDS),该系统包含适用于PCB装配过程的制造设计规则校核和路径优化。特别考虑了基于技术和战略特点的分层两阶段交联单元形成法设计规则校核与路径优化过程之间的联系。以不同元器件的PCB组装工艺为例。该软件包采用人工语言Common LISP编写,方言为SCHEME。
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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