摘要
房屋安全监测系统能够保障房屋的安全使用。对含有噪声的监测数据进行处理,从海量的数据中挖掘有用的信息,具有重要的工程意义。结合房屋结构的监测数据,给出了一套方便、实用的数据预处理方法,并建立时间序列模型,对某居民楼的倾斜数据实现自动化分析预测。结果表明,时间序列分析法充分利用了监测数据,能够提前判断房屋状态的变化趋势,及时对异常情况做出预警,为房屋的安全评估提供依据。
Housing safety monitoring system can ensure the safe use of housing. Processing the monitoring data containing noise and mining useful information from mass data is of great engineering significance. Combining with the monitoring data of housing structure,this paper presents a set of convenient and practical data preprocessing methods,and establishes a time series model to automatic analyze and predict the inclination data of a residential building. The results show that the time series analysis makes full use of the monitoring data. It can judge the changing trend of the housing state in advance,make early warning of abnormal situation in time,and provide a basis for the safety evaluation of the housing.
作者
韩晓健
徐翌
HAN Xiaojian;XU Yi(Nanjing Tech University,Nanjing Jiangsu 210000,China)
出处
《工程质量》
2019年第6期33-37,共5页
Construction Quality
关键词
房屋安全监测
数据预处理
时间序列分析
预警
housing safety monitoring
data preprocessing
time series analysis
prediction
