
基于关联规则的航空制造业知识管理研究
Research on Knowledge Management of Aviation Manufacturing Based on Association Rules
[目的/意义] 针对“中国制造2025”所提出的“强化基础领域标准体系建设”和“大力发展面向制造业的信息技术服务”这两大强化我国工业基础能力的保障措施,根据工业革命新形势下我国航空制造业完成产品研发的实际需求,探讨如何为我国航空制造业提供高质、高效的知识管理信息服务。[方法/过程] 从目前我国航空制造领域已有的国家和行业标准文献入手,从显性关联和隐性关联两方面分析航空制造业中标准文献知识元的关联规则,并基于知识元建立航空技术标准的知识关联网络描述模型。[结果/结论] 为开展航空制造业信息服务、建立知识层面的知识管理系统及进一步推进航空制造业设计、生产、制造的知识化进程提供良好的技术支持。
[Purpose/significance] The two major measures to strengthen Chinese industrial infrastructure capacity, including the “Strengthening the Basic Domain Standards System” and the “Strengthening the Development of Manufacturing-Oriented Information Technology Services,” were proposed for “Made in China 2025”.Based on this and the actual demand for Chinese aeronautical manufacturing industry to complete product R&D under the new situation of the industrial revolution, this paper try to provide high-quality and efficient knowledge management information services for aviation manufacturing industry in China. [Method/process] Starting from the current national and industry standards documents in the field of aviation manufacturing in China. This paper analyzed the association rule of standard literature knowledge element in aviation manufacturing from the aspects of explicit association and invisible association, and based on the knowledge element, it established knowledge association network description model of aviation technical standards. [Result/conclusion] To develop aviation manufacturing information services and establish a knowledge-based knowledge management system, and further promote the knowledge-based process of design, production, and manufacturing of aviation manufacturing to provide good technical support.
association rules / aviation technical standards / aviation manufacturing / knowledge management
[1] |
ARSENIJEVIC O, TRIVAN D, PODBREGAR I, et al. Strategic aspect of knowledge management[J]. Organizacija,2017,50(2) :163-176.
|
[2] |
周杰韩,曾庆良,熊光楞,等.装备制造业集群知识管理模式设计与选择研究[J].制造业自动化,2013(16):69-73.
|
[3] |
GRAY P H. A problem-solving perspective on knowledge management practices[J].Decision support systems,2001,31(1):87-102.
|
[4] |
张健聪,肖广财,庄树鹏,等.航天企业知识管理发展现状及趋势分析[J].航天工业管理,2018(4):130-133.
|
[5] |
文庭孝,刘晓英.知识关联的理论基础研究[J].图书馆,2010(4):9-11.
|
[6] |
陈华为,高琦,王超宇.基于知识关联的产品知识聚类集成模型研究[J].制造业自动化,2016(9):122-125.
|
[7] |
周和玉,王华伟,郏林.面向知识创新的知识关联系统研究[J].情报理论与实践,2013(10):66-68.
|
[8] |
孙羽,刘俊庆,牛四东,等.航天产品企业标准结构化知识单元管理方法研究[J].航天工业管理, 2018(4):101-104.
|
[9] |
甘克勤,计雄飞.标准大数据实践(3)——知识关联组织[J].标准科学,2016(3):15-18.
|
[10] |
郭德华.标准文献知识链接服务模式研究[J].图书情报工作,2011,55(9):76-79.
|
[11] |
韩翔宇,李彦,刘勇,等.基于本体的航天领域知识组织方法[J]. 航天工业管理,2018(4):66-69.
|
[12] |
温有奎,成鹏.基于知识单元间隐含关联的知识发现[J].情报学报,2007(5):653-658.
|
[13] |
蒋永福.论知识聚类[J].图书情报工作,2000,44(12):11-15.
|
[14] |
温新民,刘则,渊薛静.基于技术群、产业群的区域技术创新体系建设[J].科学管理研究,2002(3):1-4.
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杜 江:提出理论方法,撰写主要内容;
刘 航:构建航空技术标准知识关联网络描述模型及航空领域知识元关联关系网络;
白 瑀:负责论文写作指导并提出修改意见。
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