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Surface Deformation Monitoring Method And Mining Damage Analysis Of Mining Subsidence Based On 3D Laser Scanning

Posted on:2022-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:S J ZhuFull Text:PDF
GTID:2481306341456274Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
In view of the existing problems of extracting mining area surface deformation by traditional measurement methods,the data obtained are discrete and low-density,which can not evaluate the damage level of buildings completely and effectively.When using 3D laser scanning technology to monitor mining subsidence surface deformation,when the working face surface is covered by a large number of vegetation and there is water on the surface above the working face,the conventional three-dimensional laser scanning technology can obtain the data It is difficult to denoise the point cloud data,even the point cloud data is missing.At this time,the conventional 3D laser scanning technology is used to monitor the mining subsidence,and the surface deformation field of mining subsidence can not be obtained.With the help of probability integral model,this paper proposes a 3D laser scanning monitoring method(3DLS-PIM)for coal mining subsidence based on probability integral model and a 3D laser scanning technology for deformation monitoring and mining damage assessment of buildings in mining area,which realizes the prediction of mining subsidence surface deformation basin and obtains the whole basin deformation of mining subsidence surface.The main achievements of this paper are as follows:1)The influence factors and laws of 3D laser scanning accuracy are analyzed.The basic principle of 3D laser scanning is described and the error sources of 3D laser scanning are analyzed.Combined with the hs-650 scanner,the internal and external coincidence accuracy evaluation,unequal height of the instrument,the distance of the object scanned by the instrument and the influence of the setting of the point cloud density on the measurement results are carried out,and the observation scheme of the hs-650 scanner for field measurement in the coal mine area is designed.It provides a theoretical and practical basis for the model establishment and research based on 3D laser scanning technology.2)A method of geometric center estimation of spherical target based on QPSO algorithm is proposed.In order to solve the problems of large amount of calculation and complex linearization process in the traditional method,a target ball fitting algorithm based on QPSO algorithm is constructed.The simulation results show that QPSO algorithm has a certain ability to resist random error,and it is helpful to improve the accuracy of coordinate transformation and monitoring results.Combined with the engineering example,the practicability of the model based on QPSO algorithm is verified.3)A 3D laser scanning monitoring method(3DLS-PIM)for mining subsidence based on probability integral method is constructed.With the help of QPSO algorithm and probability integral model,the auxiliary condition equation and parameter estimation method of mining subsidence monitoring based on 3DLS-PIM are established,and the monitoring principle and application process of mining subsidence monitoring method based on 3DLS-PIM are introduced.Through simulation experiments,the efficiency,volatility,anti random error ability,anti gross error ability and anti missing point ability of 3DLS-PIM parameters based on QPSO are discussed.A case study of 3D laser scanning monitoring method for coal mining subsidence based on probability integral method is carried out,which verifies the engineering application value of 3D deformation monitoring method combined with 3DLS-PIM model.4)The mining damage monitoring and prediction method of mining buildings(structures)based on 3D laser scanning is developed.The paper introduces the design method of deformation monitoring precision,calculation of building movement and deformation and mining damage evaluation based on 3D laser;and designs the observation scheme of 3D laser scanner based on engineering examples.According to the observation scheme,the deformation extraction and mining damage evaluation are carried out for the building,and then the accuracy evaluation of the results of the engineering example is carried out;finally,the 3D excitation will be used The results of the two methods are consistent with those of 3dls PIM model,which verify the correctness and practicability of 3dls PIM model.The feasibility scheme is provided for the application of 3D laser scanning technology to monitoring and predicting the mining damage of buildings(structures)in coal mines.Figure[43]table[21]reference[111]...
Keywords/Search Tags:Mining subsidence, probability integral method, 3D laser scanning technology, quantum particle swarm optimization algorithm, deformation monitoring, safety evaluation
PDF Full Text Request
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