Research on Key Algorithms of Visual Simulation System for Surface Dust Concentration in Virtual Campus

Abstract

In the visual simulation of surface dust concentration in virtual campus, the concentration data of each grid point should be obtained. Because the surface dust concentration data grid points are unknown, so through the discrete sample point grid points around the known surface dust concentration properties of the unknown point grid point value interpolation estimation. Therefore, it is very important to select an interpolation algorithm that can satisfy the requirement of the accuracy of the surface dust concentration and have high computational efficiency in the interpolation process of unknown points. According to the data characteristics of virtual campus surface dust concentration value, this paper proposes an inverse distance mixed interpolation algorithm for interpolation by combining the advantages of the inverse distance weighted interpolation method and the kriging interpolation algorithm, and compares the calculation results of inverse distance mixed interpolation with the traditional interpolation algorithm. The results show that inverse distance mixed interpolation algorithm not only has high accuracy, but also runs efficiently.