Abstract: According to the daily meteorological data from 20 national meteorological stations in South Sichuan Economic Zone (Luzhou City, Neijiang City, Yibin City, and Zigong City) from 1990 to 2022, as well as forest fire data from 1990 to 2022. By calculating the probability of forest fire classification conditions, the parameter adjustment of the single factor contribution mathematical model of 12 meteorological elements from 20 national stations was improved, and finally a forest fire risk meteorological grade prediction model suitable for South Sichuan Economic Zone was constructed. After verification, the meteorological grades of forest fire dange calculated by the model were all above grade 3, indicating a high risk of forest fire, which is consistent with the occurrence of forest fires in South Sichuan Economic Zone. It is suitable for the actual prediction of forest fire danger meteorological grades in South Sichuan Economic Zone.