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出 处:《制造业自动化》2007年第12期34-39,共6页Manufacturing Automation
基 金:总装预研项目资助;江苏省科技成果转化项目资助
摘 要:应用神经元仿生学原理,构建多层结构的制造资源组织模型。通过细胞、逻辑神经和知识网络实现对制造资源信息、面向功能的制造资源组织逻辑和面向制造应用的制造资源应用知识的描述。为制造资源的应用、制造资源检索和用户需求求解以及异地制造资源信息集成提供支持。基于XML定义了制造资源标注语言MRML,研究了基于制造资源模型和制MRML的制造资源应用的相关技术,在上述研究的基础上,实现了制造资源信息的集成、信息挖掘、资源重构、数据重用等制造资源应用。An organization model is built up, using the principle of nerve cell bionics. Cell is used to describe the manufacturing resources. Logic nerve is used to describe the logic of manufacturing resources organization for function. And knowledge network are use to descript the knowledge of manufacturing resources organization for applications. The model gives helps to manufacturing resources application, requirements solution, and the integration of manufacturing resources of different places. Then, manufacturing resources model markup language (MRMML) is defined base on XML. The MRMML document building system and some application interface of MRML is given. MRML give helps to the standardization of manufacturing resources description. Moreover, some technologies of application of manufacturing resources base on manufacturing resources model and MRML are studied. The methods of manufacturing resources integrating, resource data reconfiguration and reusing are given.
关 键 词:制造资源模型 制造资源标注语言 网络化制造资源应用 XML
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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