摘要
本研究旨在设计一个铁路数据通信网智慧运维平台,以提高网络运行质量和管理效率。采用大数据和人工智能技术,构建了包含基础设施、数据处理、服务支撑和应用展示共4层的平台架构。通过实验验证,平台在数据处理延迟、异常检测准确率、故障预测精度等方面均达到预期目标。
This study aims to design an intelligent operation and maintenance platform for railway data communication networks to improve network operation quality and management efficiency.The article adopts big data and artificial intelligence technologies to construct a platform architecture consisting of four layers:infrastructure,data processing,service support,and application display.Experimental validation shows that the platform meets the expected targets in data processing delay,anomaly detection accuracy,and fault prediction precision.
作者
李晶晶
LI Jingjing(Zhongtong Service Consulting Design and Research Institute Co.,Ltd.,Nanjing 210019,China)
出处
《通信电源技术》
2024年第19期212-214,共3页
Telecom Power Technology
关键词
铁路数据通信网
智慧运维
人工智能
railway data communication network
smart maintenance
artificial intelligence