Underground goaf positioning method based on InSAR technology and cross iteration thought

Abstract

The invention provides an underground goaf positioning method based on InSAR and cross iteration. The underground goaf positioning method comprises the following steps: 1, carrying out InSAR data processing to obtain an accumulated LOS direction deformation field of the earth surface of a mining area; 2, optimizing a probability integral model, and reducing the input of model parameters; 3, constructing a function relationship between the optimized probability integral model and LOS direction deformation; 4, determining prior information of the three initial model parameters according to geological mining conditions; 5, eight parameters representing geometrical characteristics and spatial information of the goaf are inverted through cross iteration in combination with the three obtained initial model parameters and the established function relation, and therefore spatial positioning of the underground goaf is completed. In order to effectively detect the underground goaf left in the mining process, the goaf geographic space positioning method which is convenient to obtain, suitable for being used when actually measured data are lacked, not limited by model parameter precision and accurate is explored.

Description

technical field [0001] The invention relates to the application field of synthetic aperture radar interferometry technology in mining, in particular to an underground mined-out area positioning method based on InSAR technology and cross iteration ideas. Background technique [0002] The development and utilization of coal resources is an important support for the rapid development of my country's economy. China is the world's largest coal producer, and its coal reserves rank third in the world. Today, my country's main energy source is still dominated by coal, and its consumption accounts for more than 55% of the total energy consumption. Huge coal consumption has led to a large amount of coal mining, and my country's underground coal resources account for more than 90% of the total coal, so underground mining is the main way to obtain coal resources in my country. Due to the rich coal resources in our country, the vigorous mining of underground coal in the past few decade...

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Problems solved by technology

[0011] In general, constructing an inversion model can obtain high-precision and relatively complete geometric parameters of the goaf, but the parameters of the probability integral model are usually regarded as known. When the measured data is scarce, empirical constants or similar geological conditions are generally used. The model parameters of other mining areas replace it, which will affect the positioning accuracy of the goaf

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