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

Xiaodong Zhang, P. Li, Wei Wu, Q. Liu
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引用次数: 1

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.
基于铁路大数据的交互式建模与智能分析平台研究
随着铁路数据服务平台(RDSP)的建成,铁路行业有了更好的大数据基础。铁路行业在应用和推广人工智能方面面临困难。通过对批量数据和实时数据的确证,构建了一种智能确证分析学习方法。基于RDSP的存储和计算能力,嵌入式通用人工智能算法。重构了三种铁路数据分析模型单元。尝试实现铁路业务建模的可视化和交互性,简化数据分析。根据铁路业务人员的知识结构水平,设计了不同模型的数据分析交互类型。设计并搭建了基于铁路大数据的交互式智能分析平台原型。原型平台提高了对数据知识的自动学习能力,保证了数据分析的有效性和时效性。
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