Data Missing Mechanism and Missing Data Real-Time Processing Methods in the Construction Monitoring of Steel Structures

Abstract

The data link of construction monitoring of steel structures is usually long, complicated and with huge amount of data. Because of the influences of various factors during construction process, sometimes it is inevitable to cause partial monitoring data missing or interrupt of the data link which may affect the real-time control of construction process, even the structural safety assessment during construction. Based on the generating mechanism and characteristics of the missing data discovered from the statistic of actual construction monitoring of steel structures, this paper classifies the missing data into three types for developing new data processing methods. According to the characteristics of the different types of missing data, several compensating methods of the missing data are proposed respectively in this paper by regression analysis based on the principle of least square. The proposed methods are adopted to process the missing monitoring data of the steel structure construction of Art Gallery of Datong and the Circle of Life of Shenyang for verification. The estimated values are compared with the measured data. The numerical results show that the proposed missing data processing methods are effective and practical.