The rapid, accurate, and convenient measurement of the volume and quality of aggregate in concrete yards has always been a technical challenge for concrete enterprises. Improving the accuracy and efficiency of aggregate measurement can effectively enhance the competitiveness of enterprises. To address the challenge of aggregate measurement, this paper proposes a stock inventory method for mixing plant material yards using three-dimensional laser scanning technology. It utilizes laser LiDAR scanning technology to obtain three-dimensional point cloud data. After data collection, outlier point filtering, and point cloud repair using the OPENCV INPAINT function, combined with three-dimensional imaging models, it achieves high-precision measurement（millimeter-level）and intelligent monitoring of the inventory in the mixing plant material yard. The actual inventory has an average volume error of 3.43% and an average weight error of 0.86%, effectively improving the measurement accuracy and digitized management depth of raw material inventory in the mixing plant.