现代电子技术2026，Vol.49Issue(12)：63-68,6.DOI:10.16652/j.issn.1004-373X.2026.12.010
面向城轨交通大数据的信息融合处理与感知技术
Information fusion processing and perception technology for urban rail transit big data
摘要
Abstract
In allusion to the problem of massive multi-source heterogeneous data processing in the intelligent operation and maintenance process of urban rail transit,an urban rail transit information processing system framework based on multi-level information fusion and fine state perception is proposed.In terms of data processing,a method of data fusion based on improved D-S evidence theory is designed,and the Jousselme distance is used to optimize the conflict measurement and evidence weight distribution,which effectively improves the reliability of multi-source data.After data preprocessing,a long short term memory(LSTM)network model combined with attention mechanism is constructed,which can adaptively extract key state features from time-series data.For the feature classification,a hybrid state perception model based on fuzzy C-means clustering and support vector machine(SVM)is proposed.By fusing fuzzy membership information and accurate classification mechanism,the accurate evaluation and early warning of system health state are realized.The experimental results on public and self-built datasets show that the proposed technical solution can realize a state recognition accuracy of 93.5%,which is about 1.0%higher than the suboptimal CNN-LSTM comparison method.The average fault warning time is 35.2 min,which is 11.0%and 56.4%higher than the traditional CNN-LSTM and SVM models,respectively.It provides a new technical approach for improving the intelligent operation and maintenance level of urban rail transit systems.关键词
城轨交通数据/信息融合处理/D-S证据理论/支持向量机/注意力机制/长短期记忆网络/模糊C均值聚类Key words
urban rail transit data/information fusion processing/D-S evidence theory/support vector machine/attention mechanism/long short-term memory network/fuzzy C-means clustering分类
信息技术与安全科学引用本文复制引用
朗韦丹..面向城轨交通大数据的信息融合处理与感知技术[J].现代电子技术,2026,49(12):63-68,6.基金项目
2024年度广西职业教育教学改革重点项目(GXGZJG2024A019) （GXGZJG2024A019）
2023年度广西高等教育本科教学改革工程A类项目(2023JGA369) （2023JGA369）
