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Aiming at complexity of pit deformation monitoring and various factors for pit deformation,this paper,first,proposed a scheme using super total station,and removed the noise of monitor data based on wavelet transform,predicted tendency of pit deformation based on BP neural network at last.The results show that it’s available for pit deformation monitoring using super total station and the average predict precision is 89％,which was relatively higherthan other traditional methods,based on wavelet transform and BP neural network.Therefore it can perfectly meet for the demand of practical work.