Combined with the spatial distribution and attribute characteristics of Beidou user objects, a semantic multi-scaleaggregation model based on association relationship is proposed, optimizes the traditional grid aggregation algorithm, improves andputs forward the calculation method based on grid object density priority aggregation and aggregation center, which improves theaggregation display effect while ensuring the aggregation efficiency.This method has been applied and tested in a Beidou monitoringsystem.The results show that the algorithm has simple principle, high operation efficiency, and is closer to expressing the actualdistribution characteristics of Beidou user targets.It provides a solution for massive spatial data visualization, has high practicalvalue, and basically meets the needs of perception and understanding of user targets in different display scenes of map scale.