湖南大学学报（自然科学版）2016，Vol.43Issue(9)：76-81,6.
大数据下的结构性态监测信息管理系统设计与应用
Design and Application of an Information Management System for Structural Behavior Monitoring Based on Big Data Technology
摘要
Abstract
An information management system for structural behavior monitoring,named MIMS,was developed based on big data technology.The system performance was improved by using three layered browser/server architecture and multi-server coordination mechanism.To satisfy the requirements of big data processing,mongoDB database was employed in the data management platform,and the structure and format of the database were discussed.The developed system was applied to the structural behavior moni-toring of Ningbo South Station,and the interfaces were illustrated.The application results of the system show that approximately 10 GB data can be remotely received every day,and the massive monitoring data can be processed efficiently.关键词
结构性态监测/大数据/MongoDB数据库/多服务器协作/浏览器/服务器Key words
structural health monitoring/big data/MongoDB database/multi-server coordination/browser/server分类
信息技术与安全科学引用本文复制引用
吴杰,衣枚玉,张金辉,张其林..大数据下的结构性态监测信息管理系统设计与应用[J].湖南大学学报（自然科学版）,2016,43(9):76-81,6.基金项目
国家高技术研究发展计划（863计划）资助项目（2009AA04Z420）；上海市自然科学基金资助项目 （）
