Signal processing method for dynamic weighing based on wavelet transform

In order to solve problems of abnormal weighing signal and inaccurate weighing caused by truck forced braking on dynamic truck scale, a signal restructuring algorithm of wavelet transform maxima was used to process weighing signal of truck forced braking. The weighing signal is decomposed layer by layer in various frequency and time domain firstly and gradual trend of weighing signals at different levels is obtained by calculating the maxima point under condition of stable frequency. Then the weighing signals at different levels are restructured into relative true value according to original discrete approximation coefficients, so as to get truck weighing information. The field testing shows that the error is less than 1% between weighing value of truck forced braking processed by the signal restructuring algorithm of wavelet transform maxima and normal weighing value.