Engineering Knowledge Acquisition Method Based on Functional Decomposition Structure Model

被引：0

作者：

Zhao S. ^{[1
]}

Xu C. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing

来源：

Binggong Xuebao/Acta Armamentarii | 2020年 / 41卷 / 10期

关键词：

Automatic weapon; Knowledge acquisition; Knowledge reuse; Named entity recognition; Topic model;

D O I：

10.3969/j.issn.1000-1093.2020.10.004

中图分类号：

学科分类号：

摘要：

The acquisition and reuse of knowledge are of great significance for improving the efficiency of engineering design and reducing the duplication of work in design activities. A semi-automated knowledge acquisition method based on functional decomposition structure model is proposed for the diversified and structured knowledge forms in the engineering field. The construction of the structure template is completed based on functional decomposition, the named entity recognition technology is used to extract the key information related to the design from engineering texts, and then the topic clustering is realized based on the latent Dirichlet allocation model, based on which the key information and the functional decomposition structure are correlated. In accordance with the proposed method and procedure, the design of the prototype system is accomplished, and the complete functional decomposition and knowledge acquisition process are illustrated by the design of an automatic weapon and its breech locking mechanism. The result shows that the proposed method can be used effectively to reduce the human-involved work in the knowledge acquisition process. Knowledge reuse based on this can adapt to designers' thinking and provide the knowledge of related fields for designers. © 2020, Editorial Board of Acta Armamentarii. All right reserved.

引用

页码：1950 / 1961

页数：11

共 23 条

[1] WU X J, HU Y J., The application of design feature in conceptual design, Machinery Design & Manufacture, 9, pp. 52-54, (2007)
[2] SUN L F., The knowledge representation system for engineering design, Journal of Southwest Jiaotong University, 34, 6, pp. 617-624, (1999)
[3] OWEN R, HORVATH I., Towards product-related knowledge asset warehousing in enterprises, Proceedings of the 4th International Symposium on Tools and Methods of Competitive Engineering, pp. 155-170, (2002)
[4] POORKIANY M, JOHANSSON J, ELGH F., Capturing, structuring and accessing design rationale in integrated product design and manufacturing processes, Advanced Engineering Informatics, 30, 3, pp. 522-536, (2016)
[5] NIAN Z G, LIANG S, MA F L, Et al., Study and application of knowledge expression, Application Research of Computers, 24, 5, pp. 234-236, (2007)
[6] WANG H W, JOHNSON A L, BRACEWELL R H., The retrieval of structured design rationale for the re-use of design knowledge with an integrated representation, Advanced Engineering Informatics, 26, 2, pp. 251-266, (2012)
[7] LIU Y, LIANG Y, KWONG C K, Et al., A new design rationale representation model for rationale mining, Journal of Computing and Information Science in Engineering, 10, 3, (2010)
[8] ZHANG Y Z, LUO X F, LI J, Et al., A semantic representation model for design rationale of products, Advanced Engineering Informatics, 27, 1, pp. 13-26, (2013)
[9] YAN Y, YANG J X, HAO J, Et al., A design knowledge representation and reuse method based on ontology and knowledge component, Proceedings of 2016 International Conference on Information System and Artificial Intelligence (ISAI), pp. 459-463, (2016)
[10] CHANDRASEGARAN S K, RAMANI K, Et al., The evolution, challenges, and future of knowledge representation in product design systems, Computer-Aided Design, 45, 2, pp. 204-228, (2013)

← 1 2 3 →