数仓平台在重载铁路监测系统中的应用

Application of Data Warehouse Platform in Monitoring System of Heavy Haul Railway

本课题将探索数仓平台在铁路行业中的应用实践,基于数仓平台的海量存储和高效分析能力,优化既有监测系统的软件架构,实现优质数据资产的建立,突破数据存储和分析处理的局限性,构建厚实的数据底座。采用物联网、大数据和人工智能技术,高效整合数据的关联关系,充分挖掘数据的潜在价值,构建数据分析与预测模型,提升了铁路行业监测系统的数字化和智能化水平。同时在包神铁路公司进行试点应用,接入不同专业的多个既有监测系统,实现了全面监测和智能化分析的功能。

Based on the massive storage and efficient analysis capabilities of the data warehouse platform,this project explores the application practice of the data warehouse platform in the railway industry,optimizes the software architecture of the existing monitoring system,realizes the establishment of high-quality data assets and builds a thick data base,which breaks through the limitations of data storage and analysis processing.Using the internet of things,big data and artificial intelligence technology,this paper efficiently integrates the correlation of data,fully taps the potential value of data,constructs data analysis and prediction model,and improves the digitization and intelligence level of railway industry monitoring system.In addition to the pilot application in Baoshen Railway Group,the platform is equipped with multiple existing monitoring systems of different specialties,and also realizes the functions of comprehensive monitoring and intelligent analysis.