Research on Interactive Modeling and Intelligent Analysis Platform Based on Railway Big Data

Xiaodong Zhang, Ping Li, Wei Wu, Qingmeng Liu

Abstract


With completing of the Railway Data Service Platform (RDSP), the railway industry has a better big data foundation. The railway industry faces difficulties in applying and promoting of artificial intelligence. Corroborating the batch data and real-time data, an intelligent corroborative analysis and learning method is constructed. Based on the storage and computing abilities of RDSP, the general artificial intelligence algorithms are embedded. Three types of railway data analysis model units are reconstructed. Try to realize the visualization and interaction of railway business modeling, which can simplify the data analysis. Based on the knowledge structure level of the railway business staff, the data analysis interaction types are designed to different models. Design and set up the prototype of Interactive Intelligent Analysis Platform based on Railway Big Data. The prototype platform improves the capacities of automatic learning from data knowledge and ensures the validity and timeliness of the data analysis.

Keywords


railway, big data, artificial intelligence, interactive modeling, data fusion


DOI
10.12783/dtetr/mcaee2020/35019

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