Interference riveting is one of the key technologies in aircraft assembly. The control of riveting interference is very important to improve the fatigue life of riveted parts. Firstly

in order to control the interference accurately

the rivets were measured quickly based on machine vision. Secondly

the rivets were grouped by the equal tolerance and the group matching based on fruit fly optimization algorithm respectively. The matching rate and matching quality were used as evaluation indexes. Finally

an intelligent matching system for rivet and countersink based on fruit fly optimization algorithm was developed. Compared with the traditional equal tolerance zone grouping

the matching rate of the system is improved from 76.84% to 90.85%

and the matching quality of the system is improved from 0.8927 to 0.9096.