数据与计算发展前沿2026，Vol.8Issue(2)：15-24,10.DOI:10.11871/jfdc.issn.2096-742X.2026.02.002
基于时空元胞的冰冻圈多源异构数据融合与智能管理
Spatio-Temporal Cell-Based Data Fusion and Intelligent Management for Multi-Source Heterogeneous Data in the Cryosphere
摘要
Abstract
[Background]Cryosphere research faces core challenges such as inconsistent spatiotemporal references and weak semantic correlations in multi-source heterogeneous data,which severely hinder the in-depth mining of data value.[Objective]This study proposes a spatiotemporal cell-based framework for multimodal data fusion and intelligent management,aiming to enhance the operability and knowledge discovery efficiency of massive scientific data through standardized spatiotempo-ral unit construction and semantic enhancement technologies.[Methods]First,based on unified spatiotemporal references,observation areas are divided into regularized spatiotemporal cells with preset resolutions,ensuring spatiotemporal consistency of meteorological,remote sensing,and other multimodal data through standardized processing.Second,a cell feature calculation model is designed to mine data variation patterns and interaction re-lationships within and across cells using statistical algorithms and association analysis.Furthermore,large lan-guage models and semantic embedding technologies are integrated to establish a"precise condition+semantic reasoning"dual-mode retrieval mechanism,supporting structured queries and natural language-driven deep corre-lation mining.[Conclusions]The framework effectively addresses multi-source data fusion and weak semantic correlation issues,significantly improving the intelligent management level of cryosphere scientific data.Re-searchers can dynamically explore data evolution patterns through interactive interfaces,supporting scientific dis-covery and decision-making,thereby providing efficient tool support for climate system research and sustainable development.关键词
时空元胞/数据融合/特征关联/语义推理Key words
spatio-temporal cells/data fusion/feature correlation analysis/semantic reasoning引用本文复制引用
王慈枫,刘力云,艾鸣浩,张鑫鹏,赵珏,路长发..基于时空元胞的冰冻圈多源异构数据融合与智能管理[J].数据与计算发展前沿,2026,8(2):15-24,10.基金项目
国家重点研发计划"冰冻圈大数据挖掘分析关键技术及应用"(2022YFF0711700) （2022YFF0711700）
