杭州至海宁城际铁路轨道医院智能运维平台的探索与实践
黄丰
Exploration and Practice of Intelligent Operation-maintenance Platform for Hang-Hai Intercity Railway Track Hospital
HUANG Feng
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作者信息:浙江省轨道交通运营管理集团有限公司， 310005， 杭州
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Affiliation:Zhejiang Rail Transit Operation Management Group Co., Ltd., 310005, Hangzhou, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.01.043
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中图分类号/CLCN:TP31∶U239.594
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栏目/Col:应用技术
摘要:
［目的］面向杭州—海宁城际铁路运维痛点及智能化运维需求，为探索智能化运维高质量发展路径，需探索建设杭海(杭州—海宁)城际铁路轨道医院智能运维平台，并针对其未来的数字化、自动化、智能化运维提出发展建议。［方法］分析线路当前存在的运维痛点以及智能化需求，介绍了杭海城际铁路轨道医院智能运维平台1.0版的总体架构及各层次功能;从列车在途状态监测、关键部件分析、修程修制优化、机器检查辅助人工作业以及智能运维赋能运维管理等方面，阐述了轨道医院智能运维平台的建设与实践效果，并提出了针对性的发展建议。［结果及结论］轨道医院智能运维平台1.0版在支持地面辅助列车正线故障处理、列车关键部件分析、修程修制优化以及赋能运维管理等方面均取得了一定的成效。为了更好地实现轨道医院智能运维平台的高度智能化发展，针对性地提出发展建议：提升智能感知设备机器学习能力、打通多专业系统接口与解耦分析、专家知识库与专项能力机制建设、加强以人为主到人机结合实践。
Abstracts:
［Objective］ Aimed at the OM (operation-maintenance) pain points and intelligent OM requirements of Hang-Hai (Hangzhou to Haining) Intercity Railway, to explore a path for intelligent OM high-quality development, the investigation and construction of Hang-Hai Intercity Railway track hospital intelligent OM platform is needed, and development suggestions for the future digital, automated, and intelligent OM are proposed. ［Method］ By analyzing the existing OM pain points and intelligent demands of railway lines, the overall architecture and functional aspects of the Hang-Hai Intercity Railway track hospital intelligent OM platform version 1.0 are introduced. From aspects such as on-route train status monitoring, critical component analysis, optimization of maintenance procedures and schedules, machine-assisted manual work, and intelligent OM management empowerment, the construction and practical effects of the track hospital intelligent OM platform are elucidated. Targeted development recommendations are also provided. ［Result & Conclusion］ Version 1.0 of the track hospital intelligent OM platform achieves certain results in supporting ground-assisted train main line fault handling, train critical component analysis, optimization of maintenance procedures and schedules, and OM management empowerment. To achieve highly intelligent development of the track hospital intelligent OM platform, targeted development suggestions are put forward, including enhancing the machine learning capabilities of intelligent sensing devices, integrating multiple professional system interfaces and decoupling analyses, establishing expert knowledge bases and specialized capacity mechanisms, and strengthening the integration of human and machine practices.
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