面向地铁客流分析场景的弹性集群云平台架构设计及部署方案
蒲一超1,2张琦1田琳1周函3冉莉3于沁1
Design and Deployment Plan of Elastic Cluster Cloud Platform Architecture for Metro Passenger Flow Analysis Scenarios
PU Yichao1,2ZHANG Qi1TIAN Lin1ZHOU Han3RAN Li3YU Qin1
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作者信息:1.上海申通地铁集团有限公司， 201103， 上海
2.同济大学电子与信息工程学院， 200013， 上海
3.上海市信产通信服务有限公司， 200050， 上海
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Affiliation:1.Shanghai Shentong Metro Group Co., Ltd., 201103, Shanghai, China
2.College of Electronic and Information Engineering, Tongji University, 200013, Shanghai, China
3.Shanghai Xinchan Communication Service Co., Ltd., 200050, Shanghai, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.01.028
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中图分类号/CLCN:U293.13
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栏目/Col:研究报告
摘要:
［目的］在数字化技术迅速发展的当下，云技术被广泛应用在包括地铁系统在内的各行各业。出于对乘客出行安全的保障，实现大规模客流数据的实时获取和高效分析，需要提出面向客流分析场景的弹性集群云平台方案。［方法］分析了弹性集群云平台的核心功能需求，提出了弹性集群云平台的架构，阐述了弹性集群云平台的独特能力。针对不同发展阶段的地铁系统提出了2个弹性集群云平台部署方案，分析了各部署方案的优劣。以上海地铁为例，基于能力需求对比了部署方案的投资成本。分析了弹性集群云平台架构与地铁客流分析业务特征的匹配性。［结果及结论］地铁客流分析场景具有多系统并发、实时性高、数据量大等特点。弹性集群云平台能满足客流分析业务的多种需求。
Abstracts:
［Objective］ In the rapidly evolving landscape of digital technology, cloud computing is widely utilized in various industries including metro systems. To ensure passenger travel safety and achieve real-time acquisition and efficient analysis of large-scale passenger flow data, it is necessary to propose an elastic cluster cloud platform tailored for passenger flow analysis scenarios.［Method］ The core functional requirements of the above platform are analyzed, and the architecture of it is proposed, highlighting the platform unique capabilities. Two deployment plans for the elastic cluster cloud platform are put forward for metro systems at different stages of development, and the pros and cons of each deployment plan are analyzed. Taking Shanghai Metro as example, the investment costs of the deployment plans are compared based on capability requirements. The alignment between the architecture of the elastic cluster cloud platform and the characteristics of metro passenger flow analysis business is also examined.［Result & Conclusion］ Metro passenger flow analysis scenarios exhibit characteristics such as multi-system concurrency, high real-time requirements, and large data volume. The elastic cluster cloud platform can meet various demands of passenger flow analysis business.
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