CAJ | 학술논문

为降低电力调度SCADA系统历史数据量、提高历史数据存储效率，提出一种基于有效估算的旋转门算法(effective reckon swing door trending，ERSDT)，并针对压缩的历史数据给出了一种新的数据多级存储策略。ERSDT 通过搜寻最远压缩点以及旋转平衡因子方式进行数据压缩。针对压缩数据给出实时数据库、历史数据库、磁盘文件库三级存储体系，并描述了三级存储体系的运行原理。实验数据验证了 ERSDT 算法的可行性，与传统的 SDT 算法相比提高了压缩率、降低了压缩时间。实践证明ERSDT算法以及多级数据存储策略可以降低历史数据量、提高数据存储及查询效率，从而保证SCADA系统安全、稳定的运行。
위강저전력조도SCADA계통역사수거량、제고역사수거존저효솔，제출일충기우유효고산적선전문산법(effective reckon swing door trending，ERSDT)，병침대압축적역사수거급출료일충신적수거다급존저책략。ERSDT 통과수심최원압축점이급선전평형인자방식진행수거압축。침대압축수거급출실시수거고、역사수거고、자반문건고삼급존저체계，병묘술료삼급존저체계적운행원리。실험수거험증료 ERSDT 산법적가행성，여전통적 SDT 산법상비제고료압축솔、강저료압축시간。실천증명ERSDT산법이급다급수거존저책략가이강저역사수거량、제고수거존저급사순효솔，종이보증SCADA계통안전、은정적운행。
ABSTRACT:In order to reduce the amount of historical data of SCADA system and improve storage efficiency, in this paper, effective reckon swing door trending (ERSDT) which is an algorithm improved from swing door trending (SDT) algorithm and a storage policy of three-level architecture are proposed. ERSDT compress data by searching the farthest compression point and rotating balance factor. Three-level architecture which includes real-time database, historical database and disk storage database is presented to store the compressing data. The result of test verifies the feasibility of ERSDT. Comparing with traditional SDT, ERSDT can improve the compression ratio and reduce the compression time. Practice has proved that ERSDT algorithms and three-level data storage strategy can reduce the amount of historical data, and improve the efficiency of data storage and query.