摘要
变形监测及其数据处理和分析技术在"绿色开采"中处于重要地位,为土地复垦、景观重建、生态恢复工程等具体应用领域工作的顺利开展提供了特殊的测绘保障措施.本文深入研究了如下四个特殊方面的保障方法和途径:(1)动态矿区高程基准的建立;(2)综合运用空间统计学、分形理论、混沌学等理论研究了变形数据序列特征的量化方法;(3)研究了基于量化特征的预测预报模型精度的改善途径;(4)针对矿区井筒变形的复杂性,研究了基于小波理论的低信噪比且含一定量粗差的GPS单历元井筒变形监测信号的分析方法.
Deformation monitoring and its data processing technique play an important role in green mining. It can provide the special guarantees for surveying in the many aspects, such as land reclamation, landscape rebuilding and ecology recovery projects. This paper studied four problems: 1) setting up the vertical datum for the dynamic deformation of mining area; 2) analyzing on the deformation data to obtain the quantization method on the basis of space statistics, fracture theory and turbidity theory; 3) making improvement in the precision of the quantized prediction model; 4) for the complexity of pit shaft deformation discussing the methods to analyze the monitoring signals of the deformation of pit shaft by means of GPS single epoch and wavelet theory.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2004年第2期224-228,共5页
Journal of China University of Mining & Technology
关键词
绿色开采
测绘
变形监测
特征量化
变形预报
小波理论
deformation monitoring
quantization feature
deformation prediction
wavelet theory
