Research On The Method For Calculation Of Roadway Deformation

Coal industry is an important basic industry in our country, the frequent occurrence of coal mine accidents makes the country and whole society pay great attention to the safety production of coal mine. With the rapid development of monitoring technology, video surveillance system has been widely used in coal mine production, The calculation of roadway deformation monitoring is an important part of coal mine safety monitoring. In this paper, the camera calibration process and its parameter optimization method in the calculation of coal mine roadway deformation are studied deeply, and the deformation calculation system is developed.Firstly, the paper analyzes the camera imaging model and the conventional camera calibration method. On this basis, in order to improve the precision of camera calibration, and provide good initial values for the parameters optimization method. This paper calibrates internal parameters and distortion coefficients of left and right cameras by using multiple template image, then, according to a picture of monitoring site to calibrate external parameters.Secondly, this paper introduces the mathematical model of optimization problems and several kinds of classical optimization algorithms. Then the parameters optimization model is established by nonlinear camera imaging model, the camera parameters optimization method based on LM algorithm is proposed, at the same time, the solving process of this model is also deduced in detail. Finally, the 3D coordinates are solved by the optimized parameters and the image coordinates of the feature points on the surface of roadway, and the deformation displacement is calculated according to the coordinates at different times.The roadway deformation computing system is developed on the platform of VS2010,this system is used to monitor the feature points on the surface of roadway. The experiment calculates the coordinate error before and after optimization, the results show that the optimized parameters of camera have higher precision. This optimization method is proper and feasible, and the system can accurately calculate the three-dimensional coordinates of the feature points and deformation displacement in space.