Knowledge network model of the energy consumption in discrete manufacturing system

被引:5
|
作者
Xu, Binzi [1 ]
Wang, Yan [1 ,2 ]
Ji, Zhicheng [1 ]
机构
[1] Jiangnan Univ, Minist Educ, Engn Res Ctr IoT Technol Applicat, Wuxi 214122, Peoples R China
[2] Jiangnan Univ, Sch IoT & Engn, Wuxi 214122, Peoples R China
来源
MODERN PHYSICS LETTERS B | 2017年 / 31卷 / 19-21期
基金
中国国家自然科学基金;
关键词
Energy consumption; knowledge; ontology; discrete manufacture;
D O I
10.1142/S0217984917401005
中图分类号
O59 [应用物理学];
学科分类号
摘要
Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.
引用
收藏
页数:7
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