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大数据技术及其行业应用:基于铁路领域的概念框架研究 被引量:12

Big Data Technology and Its Industry Applications:A Study Based on Conceptual Framework of Railway
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摘要 在对大数据关键技术架构进行总结,对数据获取、数据处理、数据分析模型和数据应用进行描述的基础上,利用大数据关键技术平台,构建铁路大数据应用的体系架构,该体系框架包括铁路数据获取层、平台层和应用层,并刻画铁路大数据的处理流程。铁路大数据体系结构的建立将促进大数据技术在我国铁路行业的落地生效,全面提升铁路数据资源的经营开发水平,为铁路提高运输安全水平、实现客货运精准营销、提高运输效率提供参考。应结合铁路发展的需求,强化顶层设计,充分借鉴其他行业大数据应用经验,分阶段分步骤实施铁路大数据策略。 By summarizing the key technology of big data architecture, and based on the description of data acquisition, data processing, data analysis model and data application, we use the big data key technology platform to construct an architecture of the railway big data application system, which includes the railway data acquisition layer, the platform layer and the application layer, and describes the processing flow of railway big data. The establishment of railway big data architecture framework will promote the entry into force of big data technology in the railway industry in China, thus comprehensively improve the management and development level of railway data resources, and provide railways the reference to improve the transportation safety level, achieve accurate marketing of passenger and freight transportation and enhance transportation efficiency. In order to better realize the application of big data technology in China's railway industry, we should strengthen the top-level design, fully draw on the experience of other industries' big data applications, and implement the railway big data strategy step by step in stages in combination with the demand of railway development.
作者 马丽梅 史丹 高志远 李华杰 MA Li-mei;SHI Dan;GAO Zhi-yuan;LI Hua-jie(China Centre for Spelial Economic Zone Research, Shenzhen University, Shenzhen Guangdong 518060,China;Institute of Industrial Economics, Chinese Academy of SocialSciences, Beijing 100836,China;Tansportation & Economics Research Institute, China Academyof Railway Sciences Cooperation Limited, Beijing 100081, China)
出处 《北京交通大学学报(社会科学版)》 CSSCI 2019年第3期58-67,共10页 Journal of Beijing Jiaotong University(Social Sciences Edition)
基金 国家自然科学基金重大应急项目“我国经济高质量发展与产业结构调整升级研究”(71841015) 中国社会科学院工业经济研究所京津冀智库课题“大数据应用及实验室建设”(GJSZK201905)
关键词 工业大数据 Spark框架 大数据产业 铁路大数据 industrial big data Spark framework big dataindustry railway big data
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