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兵工学报 ›› 2021, Vol. 42 ›› Issue (4): 723-733.doi: 10.3969/j.issn.1000-1093.2021.04.006

• 论文 • 上一篇    下一篇

模块化枪族智能化辅助设计策略与方法

赵书彬, 徐诚, 蒋弘毅, 步春辰   

  1. (南京理工大学 机械工程学院, 江苏 南京 210094)
  • 发布日期:2021-06-08
  • 通讯作者: 徐诚(1962—),男,教授,博士生导师 E-mail:xucheng62@mail.njust.edu.cn
  • 作者简介:赵书彬(1990—),男,博士研究生。E-mail:nickyzhao@outlook.com
  • 基金资助:
    国防基础科研项目(JCKY2016209B001)

The Strategy and Method of Intelligent Computer-aided Design for Modular Gun Family

ZHAO Shubin, XU Cheng, JIANG Hongyi, BU Chunchen   

  1. (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China)
  • Online:2021-06-08

摘要: 枪族的模块化、智能化设计是当今国内外枪械设计的热点。根据枪族设计特点建立基于知识的计算机辅助设计流程,提出一种基于模块化的枪族智能辅助设计策略与方法。针对枪族设计领域不同类型的知识,采用统一的面向对象知识表示,在枪族定义阶段和模块设计阶段求解中分别运用基于知识模板、机器学习和混合推理的策略。具体地,采用模块划分知识模板引导枪族模块化设计,利用基于随机森林的回归算法完成枪族系列主参数的估算;采用基于注意力机制的双向编码器模型的枪械知识问答系统和基于实例推理、设计规则与计算交叉推理的混合推理模式辅助设计者完成枪械各模块详细设计。完成了软件原型系统的构建,进行了5.8 mm/7.62 mm口径模块化枪族的设计,结果证明了该方法的有效性。

关键词: 模块化枪族, 智能化辅助设计, 随机森林, 实例推理, 注意力机制的双向编码器, 问答系统

Abstract: The modular and intelligent design of gun family is the state of the art. Based on the design characteristics of gun family,a knowledge-based computer-aided design process is established, and a modularization-based intelligent design method is proposed. An unified object-oriented knowledge representation is adopted for different types of knowledge in the gun family design, and the strategies based on knowledge template, machine learning, and mixed reasoning are used in the solution of the gun family definition stage and the module design stage. Specifically, the knowledge template of module division is used to guide the modular design of the gun family, and the Random-Forest-based regression algorithm is used to estimate the main parameters of the gun family. A question-answering system based on the bidirectional encoder representation from transformers (BERT) model and a mixed reasoning mode based on case-based reasoning and cross reasoning of design rules and calculation are used to assist in completing the detailed design of each module. Accordingly, a software prototype system is constructed, and 5.8 mm/7.62 mm modular gun family is designed. The results have proved the effectiveness of the proposed methods.

Key words: modulargunfamily, intelligentcomputer-aideddesign, randomforest, case-basedreasoning, bidirectionalencoderrepresentationfromtransformers, question-answeringsystem

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