基于大数据的供电所工作任务优化配置研究与应用

Study and application of optimal distribution of work tasks in the power supply station based on big data

如何建立基于供电所大数据业务模型的工作任务优化配置模型,通过抽取供电所业务数据,估算出供电所每个工作人员的工作效率,并将供电所工作人员作为完成供电所工作的共享人力资源。通过遗传算法,建立供电所多任务工作调度分配模型,并经过染色体选择、交叉、变异操作等多次迭代计算后,得出供电所工作任务分配的最优解。

The paper discussed the construction of optimal work task distribution model for the power supply station on the big data service. Through the sampling of power supply station service data,the work efficiency of each staff was estimated,and the staff in the power supply station was treated as the shared human resource. By the genetic algorithm,the multi-task distribution model was constructed. After the iterative computing based on the selection,crossover and variation of chromosome,the optimal solution of the task distribution in the power supply station was computed.