中国高速铁路数据资产管理与分析:挑战与展望

J. Sun, Z. Yuan, Q. Zhang, X. Dai, D. Cui
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摘要

随着中国高速铁路网的快速扩张和铁路信息通信技术(ict)的快速发展,中国高速铁路的运营数据被收集起来越来越多,并将永远增加。中国高铁的大数据作为一种宝贵的资产,需要有效的、专门的管理,这不仅有助于铁路运营商转变其日常运营,为乘客提供更好的服务,而且具有为整个产业链和利益相关者创造新价值的潜力。人工智能和大数据技术的兴起,开启了铁路数据新应用、数据资产增值的新时代。本文探讨了人工智能驱动的数据管理技术如何挖掘和发挥数据资产的价值,转化数据资产的价值资产。由于调度和运输是铁路的核心业务,因此从中国高速铁路运营数据的采集、分析和应用的角度出发,研究新一代列车调度系统和铁路客运系统中的数据资产管理。本文还讨论了数据分析技术和数据资产评估的未来趋势。
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Data Asset Management and Analytics in China High Speed Railways: Challenges and Perspectives
With the fast expansion of China's high-speed railway network and the rapid development of information and communication technologies (ICTs) in railways, more and more operation data of the China high-speed railway have been collected and will continue increasing forever. As a valuable asset, the big data of China high-speed railway need effective and dedicated management, which not only helps the railway operators to transform its daily operation to provide better services to passengers, but also has the potential to create new value to the whole industry chain and the stake-holders. The rise of artificial intelligence (AI) and big data technologies open up a new era allowing new application of railway data and the realization of data asset appreciation. This article discusses how AI-driven data management technology may tap and play the value of data assets to convert the value asset of data assets. Since dispatching and transportation are the core business of railways, the data asset management in the new generation of train dispatching system and railway passenger transportation system are investigated from the perspective of the acquisition, analysis and application of China's high-speed railway operation data. Future trends in data analysis technologies and evaluation of data assets are also discussed.
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