Abstract: In this article, precipitation data retrieved from 26 liquid precipitation processes at the Jingyuan County Meteorological Observatory in Liupanshan, Ningxia from July to October 2022 are analyzed. Firstly, the observation stability and missing reporting of DSG5 and D17, the impact of four quality control methods on the measurements of precipitation in DSG5 and D17 are studied. Then, the differences between DSG5 and traditional rain gauges in calculating precipitation in D17, as well as the differences in measuring and calculating microphysical parameters between DSG5 and D17 are compared. The results are as follows. (1) The missing report rate of both DSG5 and D17 is low. The missing reporting of D17 is lower than DSG5 while the false reporting is highers. However, quality control methods by filtering out the empirical formula of falling velocity diameter singular data (over 60%), the number of false alarms in D17 can be effectively reduced. (2) Compared with the SL3-1 tipping bucket rain gauge, based on precipitation data from July to October,2022, the bias of D17 is less than SL3-1 in accumulated precipitation. (3) Except for particle number concentration (the bias is over 3 times), there is little difference in microphysical parameters inverted by the two instruments, rain intensity( R ), quality weighted average diameter ( D_m ), liquid water content and radar reflectivity factor ( Z ) . (4) Compared to D17, DSG5 observed more samples of particles with larger diameters as well as lower particle concentration. Therefore, on the average, DSG5 had a larger mean value of D_m and a smaller mean value of R and Z . (5) The falling velocities of particles obtained by DSG5 and D17 are relatively close. When the particle diameter is less than 1.3 mm, the falling velocity is close to the theoretical value given by Atlas et al (1973), however, with the increase of particle diameter, the bias gets larger as well.