| 基于知识工程的船体焊接工艺研究 |
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| 作者姓名： | 马国辉 田 凌 刘思超 陈俊宇 |
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| 作者单位： | (清华大学机械工程系，北京 100084) |
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| 基金项目： | 国家自然科学基金项目(51675299)；北京市自然科学基金项目(3182012)；国家高技术船舶科研项目(17GC26102.01)；清华大学自主科
研计划资助项目 |
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| 摘 要： | 船舶制造过程中船体焊接领域工艺知识缺乏有效的归纳与整理，导致其重用性和
共享性差。针对上述问题，基于知识工程技术，研究了船体焊接工艺领域知识的获取、分类、
表示及推理应用的方法，并开发了工艺知识库系统，有效实现了知识的共享与重用。首先提出
了船体焊接工艺知识获取途径及分类模式；其次以此为基础，将基于本体的知识表示方法的研
究成果应用于船体焊接工艺，建立领域本体；然后提出焊接工艺推理模式，以国家标准、行业
标准等规范性文件和专业书籍、专家意见等指导性文件为基础构建工艺规则库，设计模糊规则
推理系统；最终设计开发面向船体焊接工艺的知识库系统，规范化实现知识获取、知识表示、
知识推理及知识管理功能，为船体焊接领域相关工作人员提供知识共享及重用的支撑平台，为
船舶制造其他领域中知识工程技术的利用提供参考。
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| 关 键 词： | 船体焊接工艺 知识工程 模糊推理 本体 知识库 知识共享 |
Research on hull welding techniques based on knowledge engineering |
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| Authors: | MA Guo-hui TIAN Ling LIU Si-chao CHEN Jun-yu |
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| Affiliation: | (Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China) |
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| Abstract: | In the process of shipbuilding, the knowledge in the field of hull welding is lack of
effective induction, which results in poor reusability and sharing. To solve these problems, based on
knowledge engineering technologies, this paper studies the methods of knowledge acquisition,
classification, representation and reasoning application in hull welding and develops a knowledge
base of techniques, which effectively realizes the sharing and reuse of knowledge. Firstly, a
classification mode and access to acquire the knowledge of hull welding were put forward. Secondly,
on this basis, the results of the research on knowledge representation method based on ontology was
applied to the hull welding process and a domain ontology was established. Thirdly, a reasoning mode
of welding process was put forward, and a rule base of process was established based on normative
documents such as national standards and industry standards and instructive documents such as
professional books and expert opinions, then a fuzzy rule reasoning system was designed. Finally a
knowledge base system for hull welding process was designed and developed, and such functions
were standardized as knowledge acquisition, knowledge representation, knowledge reasoning and
knowledge management, providing support platform of knowledge sharing and reuse for related personnel in the field of hull welding, and providing implications for the use of knowledge engineering technologies in other fields of shipbuilding. |
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| Keywords: | hull welding process knowledge engineering ontology fuzzy reasoning knowledge base knowledge sharing |
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