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System Learning Mechanical Assembly and Design Using Case-Based Inference and Hypothetic Inference

使用基于案例的推理和假设推理来系统学习机械装配和设计

基本信息

批准号：
02650268
负责人：
ABE Norihiro
金额：
$ 1.41万
依托单位：
Kyushu Institute of Technology (1991-1992)Osaka University (1990)
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1990
资助国家：
日本
起止时间：
1990 至 1992
项目状态：
已结题

项目摘要

The purpose of this research is to find a way in which we have a machine learn to assemble or design mechanical parts. In this research, acquiring knowledge from a mechanical assembly text has been experimented. In every text, assembly methods are shown using both explanation and illustration. Some assembly is too simple to require no explanation, but they are necessary for understanding both features of mechanical parts and the order of an assembly. For this reason, 4 cases have been experimented, which are (1) interpreting explanation under the supposition that models of parts are given, (2) synthesizing models of parts from an illustration, (3) planning assembly procedure from an illustration with explanatory phrases, (4) understanding explanations and illustrations by referring to one another. With any one of these approaches, several incomplete plans of assembly have been acquired. From the castel, the system successfully acquire a word sense like "start", which is often used in a sentence, "Start a setscrew into the mounting holes". The system without this meaning would fasten the screw or could not infer a length of insertion. From the case2,3 dimensional of cylindrical parts are created, and attributive models of objects are driven. They contribute to identify the real object corresponding to one of the models obtained. From the case3,4, by finding correspondence between parts and figure elements, the unique order of assembly is acquired.

这项研究的目的是找到一种让机器学习组装或设计机械零件的方法。在本研究中，从一个机械装配文本中获取知识进行了实验。在每一个文本中，组装方法显示使用解释和说明。有些装配过于简单，不需要解释，但它们对于理解机械零件的特征和装配顺序都是必要的。为此，实验了4种情况，它们是（1）在给定零件模型的假设下解释说明，（2）从插图合成零件模型，（3）从带有说明短语的插图规划装配过程，（4）通过相互参照来理解说明和插图。使用这些方法中的任何一种，已经获得了几个不完整的装配图。从castel，该系统成功地获得了一个词的意义，如“开始”，这是经常使用的一句话，“开始一个固定螺丝到安装孔”。没有这种含义的系统将紧固螺钉或无法推断插入长度。从实例2开始，建立了圆柱形零件的三维模型，并驱动了对象的属性模型。它们有助于识别对应于所获得的模型之一的真实的对象。从实例3、4出发，通过查找零件与图形元素之间的对应关系，得到唯一的装配顺序。