The work aims to achieve rapid selection of equipment for beer filling production line and maximum utilization ratio of equipment with the beer filling production line as the research object based on the Particle Swarm Intelligence (PSO) algorithm. The equipment database for beer filling production line was established. With the help of MATLAB software, multi-objective optimization of equipment in beer filling production line was carried out by particle swarm optimization algorithm. Under the constraints of customer requirements, when 100 populations were initialized and the number of iterations was 8000, the balance rate of the production line reached more than 90%, which met customer requirements. The work validated the reliability of the PSO algorithm and obtains a satisfactory solution. PSO algorithm has strong flexibility in the early stage of production line layout. It can quickly solve the problem of rapid equipment selection in the early stage of beer filling production line construction.