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计算机系统应用英文版:2011,20(12):158-161
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基于数据流的桥梁健康监测海量数据处理
(重庆交通大学 信息科学与工程学院,重庆 400074)
Processing of Massive Data Based on Data Stream and Bridge Health Monitoring
(College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China)
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Received:April 09, 2011    Revised:May 06, 2011
中文摘要: 采用数据流的滑动窗口技术,建立了一种基于数据流滑动窗口的桥梁健康监测系统数据处理及存储模型,进行了基于数据流的桥梁健康监测数据处理的研究。桥梁健康监测是对桥梁结构进行实时监控和结构状态的智能化评估。这对确保桥梁的运营安全及早发现桥梁病害,对延长桥梁的使用寿命起着积极的作用。基于数据流的滑动窗口技术,对传感器采集的数据进行实时处理,并根据数据流设置的阀值对异常数据进行保存,然后根据异常数据判断是否报警。该模型大大减少了数据处理的难度,同时也提高了数据处理的效率。
Abstract:This paper established a processing and storage model of a bridge health monitoring system based on data stream sliding window by using the data stream and the sliding window technical. It studied the bridge health monitoring of data processing based on data flow. Bridge health monitoring is a real-time monitoring for the bridge structure and the structural state of the intelligence assessment. It plays an active role for ensuring the sage operation of the bridge, detecting the diseases of the bridge and extending the life of the bridge. The data stream and sliding window technical take real-time processing to data which collected by the sensors, and set the threshold based on the data stream to save on the abnormal data, then according to the abnormal data determine whether alarm. This model greatly reduces the difficulty of data processing, while improving data processing efficiency.
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基金项目:重庆市攻关项目(2010AC2077)
引用文本:
王家伟,汪仁红,罗宪,黄坤.基于数据流的桥梁健康监测海量数据处理.计算机系统应用,2011,20(12):158-161
WANG Jia-Wei,WANG Ren-Hong,LUO Xian,HUANG Kun.Processing of Massive Data Based on Data Stream and Bridge Health Monitoring.COMPUTER SYSTEMS APPLICATIONS,2011,20(12):158-161