城市轨道交通信号系统大数据智能运维平台设计方案
张冲1黄蒙涛2艾新1
Design of Big Data Intelligent Operation and Maintenance Platform for Urban Rail Transit Signaling System
ZHANG Chong1HUANG Mengtao2AI Xin1
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作者信息:1.河南郑许轨道交通有限公司，451162，郑州
2.卡斯柯信号有限公司，200072，上海
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Affiliation:1.Henan Zhengxu Rail Transit Co., Ltd., 451162, Zhengzhou, China
2.CASCO Signal Ltd., 200072, 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.2024.10.060
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中图分类号/CLCN:U231.7
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栏目/Col:产学研视窗
摘要:
［目的］城市轨道交通信号系统的维护管理包括设备监测、生产组织、信息管理等业务，每种业务都包含一个或多个业务系统，各业务系统建设年限不一，且同一线路的不同业务系统在功能上有叠加或重复，因此需建设具备数据集成化及大数据分析功能的信号系统大数据智能运维平台。［方法］结合信号系统维保业务现状和信号系统数据特点，从实际应用角度出发，采用数据分层方法，构建了信号系统大数据智能运维平台；介绍了该平台的整体架构；阐述了数据共享、数据分析、数据应用等3个子平台的设计方案。［结果及结论］信号系统大数据智能运维平台已在郑州地铁线路中心试点应用。该平台实现了：信号集中监测系统、施工管理系统、物资管理系统等业务系统的数据汇聚和数据统一存储；生产计划、检维修记录、检查问题、故障记录、监测报警、电气特性、设备台账等业务数据的关联分析；统一的数据接口规范；多维度数据应用，如关键信号设备质量的量化评分及重点检维修任务质量的量化评分。该平台的应用，可减少信号系统数据冗余，降低信号设备信息维护的复杂性，提高资源利用率，提升维护人员查阅数据的便捷性。
Abstracts:
［Objective］ The maintenance and management of urban rail transit signaling systems encompass various tasks such as equipment monitoring, production organization, and information management, each task involving one or more business systems. These systems vary in construction ages and often have overlapping or redundant functions on the same railway line. Therefore, there is a need to develop a big data IOM (intelligent operation and maintenance) platform for signaling systems that integrates data and enables analytical functions. ［Method］ Based on the current state of signaling system maintenance operations and the characteristics of signaling system data, a signaling system big data IOM platform is constructed using a layered data approach to meet practical application needs. The overall architecture of the platform is introduced, the design scheme of its three sub-platforms: data sharing, data analysis, and data application, is expounded. ［Result & Conclusion］ The signaling system big data IOM platform is piloted on Zhengzhou Metro network, which achieves the aggregation and unified storage of data from various business systems, including the centralized signal monitoring system, construction management system, and material management system. It enables the correlation analysis of business data such as production plans, maintenance records, inspection issues, fault records, monitoring alarms, electrical characteristics, and equipment ledgers. Additionally, the platform regulates standardized data interfaces and multi-dimensional data applications, such as quantitative scoring of key signal equipment quality and key maintenance tasks. The application of this platform reduces data redundancy within the signaling system, simplifies the complexity of maintaining signal equipment information, enhances resource utilization, and improves the convenience for maintenance personnel in data reviewing.
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