铁道运输与经济2024，Vol.46Issue(6)：81-86,96,7.DOI:10.16668/j.cnki.issn.1003-1421.2024.06.11
面向数据隐私的高速铁路智能调度大数据运用方案研究
Big Data Application Scheme for Intelligent Dispatching of High Speed Railway Oriented to Data Privacy
摘要
Abstract
This paper aimed to solve the defects that affected the value of big data caused by data privacy security during the application of intelligent dispatching big data for high speed railway,such as reduced willingness to share data and weakened data decision-making effects.It designed a big data application scheme for intelligent dispatching of oriented high speed railway oriented to data privacy under the existing cloud edge collaborative framework using federated learning and generative adversarial network technology.Based on the current situation analysis,this paper rebuilt the system architecture and data interaction specifications,added a sample layer and a decision layer for edge nodes to achieve sample construction and decision output,and perfected the data layer and scheduling layer of the central cloud to achieve data collection and data scheduling.the virtual demarcated data utilization area securely shared private data and learning models internally while providing external assistant decision-making support.The scheme further improves the computing efficiency and data privacy security efficiency of intelligent dispatching big data,enriches the theoretical and technological innovation content of"Intelligent HSR",and accelerates the pace of digital intelligent construction of high speed railway transportation organization and dispatching.关键词
智能调度/大数据运用/数据隐私安全/边缘节点/联邦学习/对抗式生成网络Key words
Intelligent Dispatching/Big Data/Data Privacy Security/Edge Node/Federated Learning/Generative Adversarial Network分类
交通工程引用本文复制引用
赵宏涛..面向数据隐私的高速铁路智能调度大数据运用方案研究[J].铁道运输与经济,2024,46(6):81-86,96,7.基金项目
国家自然科学基金-高铁联合基金项目(U1834211) （U1834211）
中国铁道科学研究院集团有限公司科研项目(2022YJ325) （2022YJ325）
