Broomcorn millet （Panicum miliaceum L.） is a diverse and ancient crop with rich germplasm resources. The use of fluorescent SSR markers enables the digital management and classification of these resources， facilitating their rational and efficient utilization. In this study， 258 broomcorn millet accessions from Inner Mongolia， China， were used to develop 12 fluorescent SSR markers， based on 85 pairs of conventional SSR markers previously developed by our research group， through multiple rounds of amplification， selection， optimization and modification （adding fluorescent labels to the 5'-end of the primers）. MapChart 2.32 was used to plot the chromosome location of these markers， ID Analysis 4.0 to assess the discriminating power of the markers， PowerMarker 3.25 and PopGen 1.32 for genetic diversity analysis， MEGA 11.0.10 for constructing the cluster diagram， and NTSYSpc2.11a for principal component analysis. A DNA molecular ID was created for the genotypes using a QR code generator. Genetic diversity analysis showed that there were 123 alleles in 258 materials amplified by 7 pairs of markers， with an average of 17.5714 alleles per marker. The mean values of effective alleles ， Shannon diversity index， Observed heterozygosity， expected heterozygosity ， Nei's gene diversity index and Polymorphism information content were 7.4622， 2.2270， 0.8021， 0.8372， 0.8353， and 0.8994. The results of capillary electrophoresis were encoded in a specific way， and only 7 pairs of fluorescent labels （RYW6， RYW8， RYW37， RYW40， RYW67， RYW124 and RYW125） were used to generate 258 strings and two-dimensional code DNA molecular identity cards of Inner Mongolia millet resources. This approach provided a molecular detection tool and theoretical basis for the classification management and rapid identification of the germplasm resources of Inner Mongolia broomcorn millet germplasm resources.