控制与信息技术Issue(3)：86-90,5.DOI:10.13889/j.issn.2096-5427.2024.03.012
一种城轨车辆智能运维全量数据存储优化方案
An Optimized Scheme of Full-data Storage for Intelligent Operation and Maintenance of Urban Rail Trains
摘要
Abstract
The rapid growth of the urban rail transit industry has resulted in a surge in the volume of operational data generated by urban rail trains.However,traditional full-data storage methods have become inadequate in handling the escalating demands for data processing and storage.To address this,this paper presents an innovative optimization strategy that utilizes the data hopping technology for data processing and storage.This strategy aims to significantly reduce processing demands for urban rail train operational data,minimizing the occupation of storage resources,by comparing data from adjacent time sequences to accurately identify and store characteristics of data changes.In subsequent site experiments,the proposed approach achieved a 97.5% reduction in data processing demands and a 97% saving in storage space,while ensuring data security and stability.The study outcomes not only support the endeavor to effectively ease the burden on data transmission and storage,but also provide a robust data foundation for the intelligent operation and maintenance of urban rail transit.关键词
城轨车辆/运营数据/数据存储/智能运维Key words
urban rail transit trains/operational data/data storage/intelligent operation and maintenance分类
交通运输引用本文复制引用
吴亚雄,邓健..一种城轨车辆智能运维全量数据存储优化方案[J].控制与信息技术,2024,(3):86-90,5.基金项目
国家重点研发计划项目(2022YFB4300602) （2022YFB4300602）
