Aiming at the problem that sensors are susceptible to internal and external influence during operation

which generates noise

a signal denoising model based on empirical mode decomposition(EMD)and wavelet threshold method is proposed.Firstly

the signal is decomposed by empirical mode decomposition to obtain several intrinsic mode functions(IMFs).Secondly

the variance ratio is used to distinguish the noise component and the signal component

and the data of different components are smoothed and reconstructed.Finally

the reconstructed signal is denoised by the improved wavelet threshold method.In simulation experiment

the signal-to-noise ratio(SNR)of the proposed model is 29.888

and the root mean square error(RMSE)is 0.119

which is superior to other comparison algorithms.The actual test result shows that the model can effectively reduce high-frequency noise

and the noise reduction effect is superior to other comparison algorithms.