Research On The Theory And Technology And Application Of 3D Deformation Monitoring Of Full Period Of Mining Subsidence Based On InSAR

Coal resources have made great contributions to China’s economic development.The geological environmental disasters caused by the exploitation of coal resources have brought a series of natural environment and people’s livelihood problems.The fundamental cause of geological environment disasters caused by coal mining lies in the movement and deformation of overlying strata and surface.Therefore,the research on the theory and method of mine deformation monitoring is of great scientific significance to reveal the law of mining subsidence and mining damage mechanism,the early warning and prevention and control of mine environmental geological disasters,and treatment and restoration of ecological environment damaged by mining in mining area.As an active measurement technology,InSAR technology has become an important technical means in the field of mining subsidence surface deformation monitoring because of its unique advantages.Unfortunately,for InSAR monitoring of surface deformation caused by mining subsidence,affected by the special deformation characteristics of mining subsidence,the quality of observation data and the existing a priori model.The current InSAR monitoring of mining subsidence still has limitations.Inview of this,aiming at the problems and shortcomings of the current InSAR monitoring of mining deformation.Inthis paper,the key monitoring technologies of mine surface deformation of InSAR are studied.The research and work done in this paper are as follows:(1)The existing deformation monitoring methods of InSAR technology in mining area are studied and summarized,and its defects are analyzed.The basic principles of InSAR technology and D-InSAR technology are briefly introduced.The phase unwrapping principle and the deformation gradient theory of InSAR are studied and analyzed.Inorder to study the relationship between the monitored deformation gradient of D-InSAR,geometric features and the stratigraphic section of working face,the monitored gradient function model of D-InSAR technology is studied based on the simulated data,and several monitored deformation gradient function models of D-InSAR technology based on common SAR data are given.The simulation experiment and the experiment of a working face in tangjiahui mining area verify the accuracy of the deformation gradient model function that can be monitored by D-InSAR.Based on the monitored deformation gradient model of D-InSAR,the boundary parameters of mining subsidence basin in 1613 working face are obtained.(2)The theory and method of full-scale gradient deformation monitoring of mining subsidence based on InSAR(DPIM-PU method and IDPIM-InSAR method)are proposed.Inresponse to this,two different types of solutions are proposed: 1)DPIM-PU method,which uses the dynamic prediction model of mining subsidence to remove the large gradient deformation phase in the interference phase,thereby achieving accurate and reliable mining Subsidence large gradient phase unwrapping;2)IDPIM-InSAR method,this method uses an improved mining subsidence dynamic prediction model,combined with InSAR to monitor reliable mining subsidence basin edge deformation information to construct a mining subsidence InSAR monitoring equation,so as to achieve large-gradient mining subsidence surface three-dimensional deformation monitoring.Finally,the feasibility and accuracy of the two methods were verified by simulation experiments and the 1613 work of Guqiao Mine.(3)An InSAR monitoring method for mining full cycle surface deformation based on a priori model is proposed.Based on the analysis of the law of measured data,combined with the PIM prediction model,an InSAR monitoring method for the whole surface deformation of the working face from mining to the end of mining is proposed.Inview of this,two full-period InSAR monitoring methods for face mining are proposed: DPIM-InSAR method and DB-InSAR method.This method constructs the mining subsidence InSAR monitoring equation based on the mining subsidence prior model and the surface deformation information monitored by the InSAR after the mining is completed,and uses the relevant intelligent optimization algorithm to solve the observation equation,so as to realize the full-period surface deformation of the mining surface monitor.The reliability of the monitoring method is verified by simulation data.The 1613 work of Guqiaonan Mine has been verified with two methods and accuracy,and the results show that the accuracy of the two methods are equivalent and meet the engineering application standards.(4)The InSAR monitoring method of mining subsidence surface deformation and mining characteristics based on a priori model of mountainous area is proposed.The current research on InSAR monitoring methods for surface deformation and mining characteristics of mining subsidence is mainly combined with the plain probability integral model,which is not suitable for InSAR monitoring problems under mountain mining conditions.The InSAR direct/indirect monitoring method for surface deformation of mining subsidence based on the mountain prior model is to use the mountain mining subsidence prior model to establish the InSAR direct/indirect monitoring equation through the functional relationship between horizontal deformation and subsidence deformation,thereby realizing mountain mining InSAR monitoring of subsidence surface deformation;The InSAR monitoring method for mining characteristics based on the mountain prior model is to establish the observation equation between the mining characteristics and the InSAR deformation through the mountain mining subsidence prior model and related prior model parameters,and use the related intelligent optimization algorithm to realize the mountain mining InSAR monitoring of mining characteristics of working face.Simulation experiments and engineering experiments verify the InSAR monitoring method of mining subsidence surface deformation and mining characteristics based on a priori model in mountainous areas.(5)A 3D deformation monitoring method for mining area,which combines InSAR and multi-source data,is proposed.Aiming at the problem that the weight of multi-source heterogeneous monitoring data of mining subsidence cannot be determined,a static fusion method of multi-source heterogeneous data based on VC estimation is proposed.This method uses the form of posterior variance to determine the weight of observations,and realizes the fusion of multi-source heterogeneous observation data to monitor mining subsidence;Aiming at the problem that the time resolution and weight of multi-source heterogeneous multi-temporal observation data cannot be unified,a dynamic fusion method of multi-source heterogeneous data based on DPIM and variance component estimation is proposed.This method solves the problem of uniform time resolution in fusion of multi-source heterogeneous multi-time domain observation data through the dynamic prediction model of mining subsidence.Simulation experiments,2113 working face and 1613 working face engineering examples verify the feasibility and reliability of the 3D deformation monitoring method of mining area that combines InSAR and multi-source data.Figure [122] Table[37] Reference [196]...