计算机集成制造系统 ›› 2015, Vol. 21 ›› Issue (第3期): 822-830.DOI: 10.13196/j.cims.2015.03.027

• 产品创新开发技术 • 上一篇    下一篇

云制造服务平台供需智能匹配的研究与实现

盛步云1,张成雷1,卢其兵1,李新龙1,程旭东2   

  1. 1.武汉理工大学机电工程学院
    2.湖北工业大学机械工程学院
  • 出版日期:2015-03-31 发布日期:2015-03-31
  • 基金资助:
    国家863计划资助项目(2011AA040504)。

Research and implementation of cloud manufacturing service platform's intelligent matching for supply and demand

  • Online:2015-03-31 Published:2015-03-31
  • Supported by:
    Project supported by the National High-Tech.R&D Program,China(No.2011AA040504).

摘要: 为提高中小企业云制造服务平台搜索引擎的实用性,在保证其搜索智能度和搜索精度的同时,基于云制造服务模式和思想,开发了一个面向中小企业云制造服务平台的供需智能匹配引擎。采用关键字语义智能搜索,使用制造服务资源本体库,根据需求本体构建形式化的需求匹配模式,进行了制造服务资源的智能匹配算法。在汽车/摩托车配件行业进行了验证性应用,通过“骨架法”构建汽车/摩托车配件本体库,完成了该服务资源本体语义推理,实现了云搜索的有效、快捷智能匹配。

关键词: 云制造, 供需智能匹配, 本体库, 语义推理, 搜索引擎

Abstract: To improve the utility of cloud manufacturing service platform search engine for small and medium-sized enterprises,under the guarantee of its search intelligence and accuracy,a intelligent matching engine for supply and demand oriented to small and medium-sized enterprises'service platform was developed with the idea of cloud manufacturing service.By using keyword semantic intelligent search and manufacturing service resource ontology library,the formalized demand matching model was constructed based on demand ontology,and the intelligent manufacturing service resources matching algorithm was realized.The experimental application in car and motorcycle accessories industry showed that the car and motorcycle accessories ontology library was built through skeleton law method,the ontology semantic reasoning for service resource was achieved and the rapidly intelligent matching of cloud search was realized.

Key words: cloud manufacturing, supply-demand intelligent matching, ontology library, semantic reasoning, search engine

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