Objective：To predict the effective components and active mechanism of Artemisiae annuae herba against rheumatism based on network pharmacology. Methods：The main active components of the Artemisiae annuae herba were screened by TCMSP database. Furthermore，the target genes were searched by Gene Cards and OMIM database. Meanwhile，the anti-rheumatic target of active components of Artemisiae annuae herba was obtained by mapping it with the active components targets，and the protein-protein interaction network was constructed through the STRING platform. The anti-rheumatic targets of active constituents of Artemisiae annuae herba were classified by GO and analyzed by KEGG pathway enrichment using DAVID 6.7 database，and the prediction model of artemisia annua herba active constituents-target-signal pathway network was constructed by using Cytoscape 3.6.1 software. Results：In this study，a total of 18 effective components and 84 effective targets were predicted，and its mechanism may be related to B cell receptor signaling pathway，NOD-like receptor signaling pathway，T-cell receptor signaling pathway，Toll-like receptor signaling pathway，etc. Among these pathways，six target genes，PTGS2，RELA，AR，NOS2，AKT1，MAPK1，may play crucial roles. Conclusion：The active ingredients such as kaempferol，quercetin and luteolin may regulate multiple signaling pathways through targets such as PTGS2，RELA，AR，NOS2，AKT1 and MAPK1，to play an anti-rheumatic role.