城市轨道交通通信智能运维系统体系构建关键技术研究
王先磊
Key Technologies in Intelligent O&M System Construction for Urban Rail Transit Communication
WANG Xianlei
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作者信息:南宁轨道交通运营有限公司， 530025， 南宁
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Affiliation:Nanning Rail Transit Operation Co., Ltd., 530025, Nanning, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.20253061
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中图分类号/CLCN:U231.7
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栏目/Col:通信信号
摘要:
［目的］为设计和构建一个高性能、高可靠性的城市轨道交通通信智能运维系统，并制定科学的维护策略，将传统的周期性计划修转变为基于测试分析的状态修和基于评估先验的预知修，降低设备故障发生的概率和运营成本，将传统人工运维管理转变为自动化、信息化的智能监测维护方式。［方法］结合现场实际，将通信系统和关键设备等物理实体与虚拟实体关联，研究设备监测和诊断模型，将多源异构数据融合和分析技术运用于通信系统故障诊断和预测中，提出设备健康度算法模型和大数据架构，搭建涵盖“云-数-智”的追踪和评估平台，为现场开展预诊断维修提供理论依据和验证平台，提升状态感知覆盖面、诊断和预测准确率，大幅提高运维质量。［结果及结论］通信智能运维系统在南宁轨道交通4号线工程化应用中，实现了全方位设备监控、广泛故障应对机制以及先进的人机互动。工程化应用结果表明，该通信智能运维系统可提升轨道交通通信设备的智能化运维水平，可实现从传统定期维护向基于健康度的智能监测和预测性维护转变。
Abstracts:
［Objective］ Aiming to design and construct a high-performance, high-reliability intelligent O&M (operation and maintenance) system for urban rail transit communication and to formulate scientific maintenance strategies, it is necessary to transform traditional periodic scheduled maintenance to condition-based maintenance according to test analysis, and to prior assessment-based predictive maintenance, thereby reducing the probability of equipment failure and operational costs. Furthermore, it is to shift from traditional manual O&M management to an automated, information-based intelligent monitoring and maintenance approach. ［Method］ In combination with the on-site practice, associations are established between virtual entities and physical entities such as communication systems and key equipment to investigate equipment monitoring and diagnosis models. The multi-source heterogeneous data fusion and analysis technologies are applied to communication system fault diagnosis and prediction. An equipment health index algorithm model and a big data architecture are proposed, and a tracking and evaluation platform encompassing ′cloud-data-intelligence′ is built. This platform provides both a theoretical basis and a validation environment for on-site pre-diagnostic maintenance, enhances the coverage of condition awareness, the accuracy of diagnosis and prediction, thus significantly improving the quality of O&M. ［Result & Conclusion］ The engineering application of the intelligent communication intelligent O&M system on Nanning Rail Transit Line 4 achieves comprehensive equipment monitoring, extensive fault response mechanism, and advanced human-machine interaction. Application results show that this intelligent communication O&M system enhances the intelligent O&M level of rail transit communication equipment and enables a shift from traditional periodic maintenance to health-based intelligent monitoring and predictive maintenance.
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