Different coronaviruses can be identified as three categories: common coronaviruses, fatal coronaviruses, and domestic coronaviruses. It is convenient to generate various visual results for their RNA sequences on variant maps. In this paper, a functional group measurement method is proposed to combine discrete mathematics and computational technologies on the A2 module of the MAS. Various samples are processed by this scheme and interesting results can be observed. The projections of the segmented groups on each coronavirus compared with the projective effects on different coronaviruses in 2D maps of coordinate systems are shown by statistical measures on the density matrix with similarity and dissimilarity properties for further exploration.