A device and system for measuring storage capacity based on two-dimensional laser radar scanning was designed to improve the automation and intelligence level of measuring storage capacity of raw materials in storage tower and explore the feasibility of measuring storage capacity based on two-dimensional laser radar scanning. The system used RPLIDAR S1 two-dimensional laser radar scanning to obtain the original point cloud data of material with different storage capacity. The original point cloud was preprocessed with methods including coordinate transformation， overlapping point extraction， filtering， segmentation and others. The greedy projection triangulation algorithm was used to reconstruct the preprocessed point cloud in 3D to obtain a 3D model of the raw materials in the storage tower. The storage capacity of raw materials in the storage tower was obtained by combining the three-dimensional model of material and the bulk density of materials， thereby realizing automatic measurement of storage capacity. Maize was used to measure the amount stored in a small storage tower， and scan and measure different amounts stored to verify the accuracy of the model. The results showed that the average absolute error of the measurement results was 8.05 kg， with the average relative error of 1.52%. It is indicated that the method for measuring storage capacity based on two-dimensional laser radar scanning is feasible， with good stability and accuracy of measurement， and can meet the needs of production in practice. It will provide a new method and technical support for automatically measuring the storage capacity of raw materials in large storage tower.