Knowledge graph-based approach to trace the full life cycle information of decommissioned electromechanical products

被引：3
|
作者：
Ma, Longzhou [1 ]
Wu, Xiuli [1 ]
Kuang, Yuan [1 ]
Tang, Ying [1 ]
Xiang, Dong [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing 100083, Peoples R China
来源：
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2022年
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
decommissioned electromechanical products; full life cycle; information traceability; knowledge graph;
D O I：
10.1109/CASE49997.2022.9926581
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problems of high spatial and temporal dispersion, strong quality uncertainty and weak cross-organizational information correlation in the recycling of decommissioned electromechanical products, this paper proposes a knowledge graph-based method for tracing the full life cycle information of decommissioned electromechanical products. First, the structure of the knowledge graph of the full life cycle information of decommissioned electromechanical products is constructed, then the key techniques for constructing the knowledge graph of the full life cycle information of decommissioned electromechanical products are proposed, and finally, the effectiveness of the method is verified through examples, which can provide strong support for the full life cycle information tracing of decommissioned electromechanical products.
引用
收藏
页码：2028 / 2033
页数：6
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