时空语义数字底板技术研究及其在物流领域的应用
Research on Spatio-temporal Semantic Digital Baseplate Technology and Its Application in Logistics Field
苗圣法 1吴昊洋 1高超 2王瑞通 2胡达 3邹晶 3单培 4梁云4
作者信息
- 1. 云南大学
- 2. 常州市公安局
- 3. 丰图科技(深圳)有限公司
- 4. 星环信息科技(上海)股份有限公司
- 折叠
摘要
随着数字孪生在各行各业的推进,传统的数字底板已经不能满足更加智能的时空还原和推演需求.提出了时空语义数字底板的概念,结合物流的应用场景,阐述了时空语义数字底板的功能框架和分层模块功能,从数据和知识双轮驱动的角度,构建了数据驱动画像和空间语义知识图谱,并对地址切分和融合技术、时空语义知识图谱等关键技术进行了分析.最后,介绍了时空语义数字底板在智慧物流中的应用,展示了其时空还原和时空推演的能力.
Abstract
With the advancement of digital twin in different fields,the traditional digital baseplate can no longer meet the more intelligent needs of spatio-temporal reduction and deduction.In this paper,the concept of spatio-temporal semantic digital baseplate(STSDB)is proposed,and its overall architecture and each module function are illustrated with a real scenario of logistics.Driven by data and knowledge,the data-driven portrait and spatio-tempord semantic?knonledge groph are constructed,and the key technologies such as address segmentation and fusion and spatio-temporal semantic knowledge graph are analyzed.Finally,this paper briefly introduces the application of STSDB in smart logistics,and shows its abilities of spatio-temporal restoration and spatio-temporal deduction.
关键词
时空语义/知识图谱/数字底板/数字孪生/时空推演/物流领域Key words
spatio-temporal semantic/knowledge graph/digital baseplate/digital twin/spatio-temporal deduction/logistics field引用本文复制引用
基金项目
云南省科技重大专项(202302AD080006)
出版年
2024
NETL
NSTL
维普
万方数据