Based on the detection data of three remote sensing detection devices (lidar, laser cloud altimeter and cloud radar), the visibility observation of four national weather stations in Beijing and the PM₁₀ monitoring data of Beijing Ecological Environment Monitoring Center during three dust (storm) weather processes (March 15, March 28 and April 15) affecting Beijing in spring 2021, the characteristics and advantages of three kinds of remote sensing detection equipment for dust monitoring are analyzed comprehensively in order to improve dust weather forecasting and early warning technology. The results show that the lidar can accurately distinguish dust aerosol and atmospheric pollutants under the combination of extinction coefficient and depolarization ratio. The observation of dust in the boundary layer and the middle and lower layer of the troposphere shows high extinction coefficient (more than 0.30 km^-1) and high depolarization ratio (more than 10%). The near-ground backscatter coefficient and cloud bottom height of the cloud altimeter have a good corresponding relationship with PM₁₀ mass concentration and visibility changes, and we can also judge the dust settlement through the sharp increase of near-ground backscatter coefficient and the decrease of cloud bottom height. The cloud radar can detect dust in the boundary layer (0-2 km) and the dust cloud in the upper and middle troposphere (6-10 km), and it also can detect the vertical velocity. In general, lidar is the only one among the three kinds of remote sensing detection equipment that can distinguish dust and air pollutants. Cloud altimeter has good monitoring effect on sand and dust near surface layer, and it can judge the duration of sand dust. Cloud radar has the longest detection range and can detect vertical velocity.