Efficient distributed association management method of data, model, and knowledge for digital twin railway
| Autor: | Yongxin Guo, Qing Zhu, Yulin Ding, Yun Li, Haoyu Wu, Yang He, Zhihong Li, Hankan Li, Liguo Zhang, Yuanzhen Zhao, Yan Pan, Ting Yang, Mingwei Liu, Haowei Zeng |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | International Journal of Digital Earth, Vol 17, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 17538947 1753-8955 1753-8947 |
| DOI: | 10.1080/17538947.2024.2340089 |
| Popis: | ABSTRACTDigital twin railway is a pivotal foundation for the intelligent construction and maintenance of railway engineering projects within extensive open spaces. Its essence is the integrated representation and association management of multi-granularity spatiotemporal data, executable analysis models, and professional knowledge. These elements are characterized by the prominent characteristics of multi-source, heterogeneity, and massive volume. However, current decentralized and independent management strategies often neglect the dynamic coupling relationships between them, and numerous multi-path joins and conversion aggregation operations exist across various spatial scale applications. Consequently, this results in challenges such as the inability to dynamically couple data-model-knowledge and conduct global association retrieval, thereby limiting the potential for real-time analysis and intelligent application capabilities. To address these problems, we first constructed a tripartite graph model ([Formula: see text]) that explicitly associates temporal, spatial, and interactive relationships. Subsequently, an association management architecture was proposed, accompanied by a global association graph index ([Formula: see text]) and a global-local indexing mechanism. Finally, a prototype system for railway data-model-knowledge association management was developed. The effectiveness of the distributed association management method was demonstrated by employing a case study of high-temperature safety risk analysis in railway tunnel engineering with multi-physics field coupling. |
| Databáze: | Directory of Open Access Journals |
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