Implementation of Cloud-based Urban Rail Big Data Platform

Lili Chen, Ying-chen Di, Lele Zhang
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Abstract

Facing the wave of digital transformation of urban rail, it has proposed a cloud-based big data platform construction plan following the innovative urban rail development in the paper. The cloud platform provides virtualized resources and services such as computing, storage, networking, security, and Platform-as-a-Service components for the big data platform. The big data platform works as the Data-as-a-Service layer of the cloud, which integrates multiple business application data, conducts data governance, forms data assets, and provides secure, universal, and flexible data sharing services to various advanced intelligent applications. The low-code historical data interface and real-time data service is an innovative function to meet new demands for intelligent operation. Data modeling and optimization in the face of the characteristics of the Hadoop platform are also mentioned. The solution provides data support for the application of intelligent urban rail and realizes the integration of cloud and big data platforms. Meanwhile, the data is passed from producers to consumers through data reorganization of big data platforms, which could isolate the influence of data errors and model changes.
基于云的城市轨道大数据平台实施
面对城市轨道数字化转型的浪潮,本文提出了紧跟城市轨道创新发展的基于云的大数据平台建设方案。云平台为大数据平台提供计算、存储、网络、安全、平台即服务等虚拟化资源和服务。大数据平台作为云的数据即服务层,集成多种业务应用数据,进行数据治理,形成数据资产,为各种高级智能应用提供安全、通用、灵活的数据共享服务。低码历史数据接口和实时数据服务是满足智能运营新需求的创新功能。针对Hadoop平台的特点,提出了数据建模和优化的方法。该方案为智慧城市轨道的应用提供数据支撑,实现云平台与大数据平台的融合。同时,数据通过大数据平台的数据重组从生产者传递到消费者,可以隔离数据错误和模型变化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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