Analysis and application of automatic deformation monitoring data for buildings and structures of mining area
来源期刊：中国有色金属学报(英文版)2011年第z3期
论文作者：XIAO Jie ZHANG Jin
文章页码：516 - 522
Key words：wavelet analysis; Kalman filtering; deformation monitoring data analysis; mine
Abstract: The buildings and structures of mines were monitored automatically using modern surveying technology. Through the analysis of the monitoring data, the deformation characteristics were found out from three aspects containing points, lines and regions, which play an important role in understanding the stable state of buildings and structures. The stability and deformation of monitoring points were analysed, and time-series data of monitoring points were denoised with wavelet analysis and Kalman filtering, and exponent function and periodic function were used to get the ideal deformation trend model of monitoring points. Through calculating the monitoring data obtained, analyzing the deformation trend, and cognizing the deformation regularity, it can better service mine safety production and decision-making.
XIAO Jie1, 2, 3, ZHANG Jin4
(1. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;
2. Key Laboratory of Dynamic Geodesy, Institute of Geodesy and Geophysics, Chinese Academy of Sciences,
Wuhan 430077, China
3. Graduate School of Chinese Academy of Sciences, Beijing 100049, China;
4. Department of Surveying and Mapping, Taiyuan University of Technology, Taiyuan 030024, China)
Abstract:The buildings and structures of mines were monitored automatically using modern surveying technology. Through the analysis of the monitoring data, the deformation characteristics were found out from three aspects containing points, lines and regions, which play an important role in understanding the stable state of buildings and structures. The stability and deformation of monitoring points were analysed, and time-series data of monitoring points were denoised with wavelet analysis and Kalman filtering, and exponent function and periodic function were used to get the ideal deformation trend model of monitoring points. Through calculating the monitoring data obtained, analyzing the deformation trend, and cognizing the deformation regularity, it can better service mine safety production and decision-making.
Key words:wavelet analysis; Kalman filtering; deformation monitoring data analysis; mine
