With the continuous improvement of the intelligent level of the substation,there are more and more secondary devices in the substation,and the printing of the secondary label occupies a large part of the workload in the substation commissioning preparation.This paper applies the multi-objective genetic algorithm NSGA-Ⅱ to the secondary label printing in the substations,establishes an optimization model for multi-terminal printing task scheduling,realizes the optimization of cost and time for the secondary label printing tasks,and obtains the Pareto optimal solution setting.The practical results show that compared with the traditional label printing methods,this printing method can not only improve the efficiency of the secondary label printing in the substations,but also reduce the printing costs and realize the intelligent label printing.
维普
万方数据
