摘要
简要介绍了桥梁长期健康监测系统的应用,总结了基于桥梁长期健康监测大数据分析技术的研究现状。介绍了基于长期健康监测大数据分析在多尺度关联性分析、异常数据挖掘和分析以及时变可靠度研究三个方面取得的研究进展。通过多尺度关联性分析对各频率组分下的桥梁应变进行了分类,确定了温度对应变的影响;发展了利用应变阈值和小波细节系数进行异常信号识别的方法;提出了局部时变可靠度的计算方法。最后,对基于云计算的桥梁健康监测服务平台的研制及应用进行了介绍和展望。
The application of bridge long term health monitoring system is briefly introduced in this paper,as well as the research status of big data analysis technology based on bridge long-term health monitoring is also summarized.Based on long term health monitoring,this paper focuses on following three aspects of research progress in big data analysis：multi-scale correlation analysis and multidimensional modeling,anomaly data mining and analysis,and time-dependent reliability study,and the development and application of the bridge health monitoring service platform based on cloud computing are introduced and prospected.
出处
《实验力学》
CSCD
北大核心
2017年第5期652-663,共12页
Journal of Experimental Mechanics
基金
国家自然科学基金(11602087)
广东省科技计划项目(2015B010131009和2015A030308017)
重庆市教委科学技术研究项目(KJ1400333)
关键词
桥梁长期健康监测
大数据
关联性分析
数据挖掘
时变可靠度
云计算
bridge long-term health monitoring
big data
correlation analysis
data mining
time-dependent reliability
cloud computing
