在经济管理和计划部门,为了掌握国民经济的动态和制订各种计划及产品分配方案,需要对大量原始数据进行处理和计算(如分类汇总,统计等)。目前,主要依靠手工进行这类计算,工作量大,效率低,周期长,要占用大量人力,以致往往影响到国民经济计划的制订和执行。为了逐步改变这一状况,中国科学院北京自动化研究所于 In economic management and planning departments, a large amount of raw data needs to be processed and calculated (such as subtotals, statistics, etc.) in order to grasp the dynamics of the national economy and formulate various plans and product allocation plans. At present, such calculations are mainly carried out by hand. Large workloads, low efficiency, long period and huge manpower are required, which often affect the formulation and implementation of the national economic plan. In order to gradually change this situation, Beijing Institute of Automation Chinese Academy of Sciences in