接触网检测大数据的应用与发展

Application and Development of OCS Inspection by Big Data

接触网是保障电气化铁路可靠运营的重要基础设施,对接触网设备进行定期检测并依据结果进行维修,能够有效保障铁路供电的可靠性。通过对铁路行业大数据技术的应用研究,分析接触网大数据专业运用现状与目标之间的差距;梳理了为实现大数据应用而进行的数据规范、数据清理等有效检测数据管理手段;对设备状态微小变化识别和接触网质量状态变化趋势分析等,智能分析技术在接触网设备状态预测预警方面的应用进行了阐述;介绍了人工智能和云计算等在接触网检测数据大数据中的应用。接触网大数据的运用可在保障供电可靠性的同时提升生产效益,但仍然应在接触网设备全生命周期管理等方面继续深入研究。

OCS is an important infrastructure to ensure the reliable operation of electrified railways.Regular inspection of OCS equipment and maintenance according to the results can effectively ensure the reliability of railway power supply.The gap between the application status and goals of big data in OCS is analyzed through the application research of big data technology in the railway industry;the paper organizes effective inspection data management means such as data specification and data cleaning for facilitating big data application;the application of intelligent analysis technologies such as identification of minor changes in equipment status and trend analysis of OCS quality status change in OCS equipment status prediction and early warning is described;finally,the application of artificial intelligence and cloud computing in OCS inspection big data is introduced.The application of big data in OCS can improve production efficiency while ensuring the reliability of power supply,but in-depth research should be continued on the full life cycle management of OCS equipment.