Uniformity evaluation method based on standard deviation quantile percentage

The invention provides a uniformity evaluation method based on the standard deviation quantile percentage. The method comprises steps as follows: S1, tobacco leaf sampling; S2, acquisition of chemical values x of a tobacco leaf evaluation index; S3, the mean value xm of x is solved; upper-lower limits [Up, Lo] of confidence probability are calculated; S4, chemical values beyond [Up, Lo] are calculated, and the standard deviation of the chemical values within [Up, Lo] is calculated; S5, the chemical values x are subjected to sort descending, and y is obtained; S6, standard deviations of all data are calculated; S7, the serial number of the last data of y is set as n, the first data are rejected, the standard deviation sl is calculated, n data are rejected, the standard deviation s2 is obtained, the process is repeated k times, and PSD vector is obtained; S8, a numerical value interval is selected, p is taken as a data interval, and preset standard deviation is set; S9, the number of least rejection data of dat