面向轨道交通管理系统的实时数据共享平台技术
刘超李申苏成王伟黄勍
Real-time Data Sharing Platform Technology for Rail Transit Management Systems
LIU ChaoLI ShenSU ChengWANG WeiHUANG Qing
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作者信息:交控科技股份有限公司，100070，北京
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Affiliation:Traffic Control Technology Co., Ltd., 100070, Beijing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2025.03.057
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中图分类号/CLCN:F530.7
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栏目/Col:应用技术
摘要:
［目的］随着轨道交通行业的发展，各种传感、定位技术的进步，许多低成本的数据收集设备连接到互联网。访问丰富的业务运营数据成为可能，但信息过载也为数据管理带来了挑战。高效的实时数据处理能力能够为决策系统提供有用的信息，支撑轨道交通行业的各种人工智能算法。针对此问题，对面向轨道交通管理系统的实时数据共享平台技术进行了研究。［方法］分析了共享平台在轨道交通行业中的作用，明确其在提升运营效率和安全性方面的重要性；梳理了业务系统对实时数据共享的主要需求，并根据需求整理出技术选择标准；通过定性和定量的比较，评估不同中间件的适用性，以确定最适合平台实现的中间件。［结果及结论］试验结果表明，基于内存数据网格的中间件Hazelcast软件在处理大量并发请求和高数据负载时表现出色，且其响应时间增长稳定，适合作为轨道交通管理系统实时数据共享平台的技术基础。并且Hazelcast软件具有高性能、易配置以及强大的集群支持能力，能够满足轨道交通管理系统对实时数据处理的需求。
Abstracts:
［Objective］ With the development of the rail transit industry and advancements in sensing and positioning technologies, numerous low-cost data collection devices are now connected to the internet, which enables access to abundant operational data but also poses challenges in data management due to information overload. Efficient real-time data processing capabilities can provide actionable insights for decision-making systems and support various artificial intelligence algorithms used in rail transit sector. Addressing this issue, the real-time data sharing platform technology for rail transit management systems is investigated. ［Method］ The role of sharing platforms in the rail transit industry is analyzed, emphasizing their importance in improving operational efficiency and safety. The primary requirements for real-time data sharing from business systems are outlined and the technical selection criteria are derived from these requirements. Finally, a qualitative and quantitative comparison is conducted to evaluate the suitability of different middleware options, identifying the most appropriate middleware for platform implementation. ［Result & Conclusion］ Experimental results indicate that Hazelcast, a middleware based on an in-memory data grid, performs excellently well in handling large volumes of concurrent requests and high data loads, with stable response time growth. This makes it a suitable technical foundation of real-time data sharing platform for rail transit management systems. Additionally, Hazelcast demonstrates high performance, ease of configuration, and robust cluster support capabilities, effectively meeting the real-time data processing requirements of rail transit management systems.
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