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兵工学报 ›› 2020, Vol. 41 ›› Issue (3): 595-607.doi: 10.3969/j.issn.1000-1093.2020.03.021

• 论文 • 上一篇    下一篇

基于本体技术的装备智能检验验收方法研究

李泽西1,2, 孟晨1, 王成1   

  1. (1.陆军工程大学 石家庄校区, 河北 石家庄 050003;2.陆军装备部驻西安地区军事代表局 驻西安地区第四军事代表室, 陕西 西安 710000)
  • 收稿日期:2019-04-21 修回日期:2019-04-21 上线日期:2020-05-11
  • 作者简介:李泽西(1992—),女,助理工程师,硕士研究生。E-mail:lizeximanhua@126.com
  • 基金资助:
    国家自然科学基金项目(61501493)

Research on Intelligent Inspection and Acceptance Method of Equipment Based on Ontology Technology

LI Zexi1,2, MENG Chen1, WANG Cheng1   

  1. (1.Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003,Hebei, China; 2.The Fourth Military Representative Office in Xi'an District, Military Representative Office of Army Equipment Department of PLA in Xi'an District, Xi'an 710000, Shaanxi, China)
  • Received:2019-04-21 Revised:2019-04-21 Online:2020-05-11

摘要: 为改善目前装备检验验收方法工作量大、重复性高、验收效果依赖于检验人员的经验和主观判断等问题,提出一种基于本体技术的装备智能检验验收方法。阐述了该方法的关键技术,包括装备检验验收本体库构建、装备检验验收规则库设计、基于本体知识推理的检验结果智能判定等。以炮弹产品部分检验验收信息为例,在本体开发工具Protégé平台上进行了仿真实验。实验结果表明,该方法能有效提高现有装备检验验收方法的时效性和精确性,为开展数字化质量监督和高精密复杂武器质量监控奠定了基础。

关键词: 装备智能检验, 本体技术, 知识推理, 验收方法

Abstract: An ontology technology-based intelligent inspection and acceptance method of equipment is proposed to improve the problems of current equipment inspection and acceptance, such as heavy and high repetitive workload, and dependence of acceptance effect on the experience and subjective judgment of the inspectors. The key implementation techniques for the proposed method are described in detail, including establishment of ontology library for equipment inspection and acceptance, design of rule database of equipment inspection and acceptance, and intelligent judgment of inspection findings based on ontology knowledge reasoning, etc. The simulation experiments were made on the ontoloty development tool Protégé platform by taking part of the inspection and acceptance information of the shell products as an example. The experimental results show that the proposed method can be used to improve the accuracy and efficiency of equipment inspection and acceptance.

Key words: equipmentintelligentinspection, ontologytechnology, knowledgereasoning, intelligentinspectionandacceptancemethod

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