摘要
针对在役大型桥梁承载、负荷压力不断加大带来的结构安全隐患,结合富互联网应用技术建立了桥梁结构健康监测、状态评估分析平台,对影响桥梁安全的主要参数进行在线监测、评估及预警,解决了传统Web技术呈现能力及交互性差的问题。从系统设计方面,详细介绍了系统功能模块和软件架构,并根据富互联网应用技术的富交互界面及数据绑定的特点,研究了自定义控件的实现和数据通信机制,最后提出了一种基于聚类的动态数据回归分析方法,有效解决了海量监测数据的处理问题。实验结果表明了该方法的实用性和有效性。
In view of the security risks of large bridge' s structure caused by increasing heavy load, the bridge structure healthy monitoring and state assessment system based on rich internet application technology is set up to evaluate and analyze the main parameters, which affect the bridge' s safety as well as solve the problem of poor present ability and interactivity in the traditional web technology. The system functional modules and software architecture are put forward from the system design, and the implementation of user control and the data communication mechanism are studied according to the features of rich interactive interface and data binding of rich internet ap- plications (RIA). Finally, a dynamic data analysis method is proposed based on clustering, which is able to effectively solve a lot of monitoring data processing problems. The experimental results show that the method is practical and effective.
出处
《计算机工程与设计》
CSCD
北大核心
2011年第8期2889-2892,2896,共5页
Computer Engineering and Design
基金
北京市教委面上基金项目(KM200810011006)
北京市组织部优秀人才基金项目(2010D005003000008)
关键词
桥梁结构健康监测系统
富互联网应用
聚类
回归
预测
bridge structural healthy monitoring system
rich internet applications
clustering
regression
prediction