Reasonable configuration and optimization design of unit sprinkler system could take the advantages as maximizing efficiency of the unit and reducing the energy consumption. An optimization model was established and genetic algorithm was used to optimize light-small movable unit sprinkler system. The objective function was minimal energy consumption, the constraint conditions were pump and pipeline operating conditions, minimum working pressure of sprinkler, percentage of sprinkler working pressure range; and the decision variables were number of sprinkler, pipe diameter, sprinkler pressure in the pipeline end, respectively. The model and algorithms could optimize the number of sprinklers, pipe diameter and calculate out the flow rate, pressure, efficiency and per energy consumption of the unit. As well as the pump and pipeline could be ensured to operate in the optimized condition and the design parameters were met. An example showed that the energy consumption was reduced by 14.2% after optimum design. The algorithms can get the optimum results automatically when known conditions were input, having the advantages of excellent efficiency, accuracy, reliability, versatility and practicability.