变速齿轮传动系统最佳轴向结构布局智能设计的推理机制

Mechanism of AI Inference for Designing Optimal Axial Structure of Gear Transmission System

本文通过对变速齿轮传动系统轴向结构布局设计规律的研究,提出了一种适合于该类问题的知识表达方式,将改进后的带有启发函数的最佳优先搜索方法引入到该问题的求解中,使得含有多重搜索空间以及带有一定约束的设计问题统一在同一搜索策略下。根据本文提出的方法,用PROLOG语言建造的推理机,通过对实际问题的考证,证明该方法在解决传动结构自动设计上是行之有效的,并且在推理机制上成功地体现了设计过程中反复设计与优化设计的功能特征.

One efficient inference method for designing optimal axial structure of gear transmission system with proper knowledge representative models is presented in this paper. Since heuristic function is used, the multiple design spaces with constrained functions have been united under one optimal search strategy, which successfully embodies the repeated and optimal feature in design. In terms of the method, the inference engine has been built in PROLOG, and proved to be highly effective in practice.