CAJ | 학술논문

针对电力数据数量多、种类庞杂、横跨专业多等特点而引起的数据质量不高的现状，该项目以数据中心数据为研究对象，通过分析产生数据质量问题的原因，以元数据、数据质量、数据建模等理论为基础，对数据流动过程中的质量检查、质量控制和质量评估等进行深入的研究。构建电力大数据质量评价指标体系，研究电力大数据质量实时监控、快速动态检测方法与关键技术，提出了适合于电力大数据数据质量控制与评估体系模型，实现数据质量管控平台开发，确保企业数据质量，提升数据应用价值。
침대전력수거수량다、충류방잡、횡과전업다등특점이인기적수거질량불고적현상，해항목이수거중심수거위연구대상，통과분석산생수거질량문제적원인，이원수거、수거질량、수거건모등이론위기출，대수거류동과정중적질량검사、질량공제화질량평고등진행심입적연구。구건전력대수거질량평개지표체계，연구전력대수거질량실시감공、쾌속동태검측방법여관건기술，제출료괄합우전력대수거수거질량공제여평고체계모형，실현수거질량관공평태개발，학보기업수거질량，제승수거응용개치。
For the status quo of bad electric power data quality caused by mass data,complex species,multi-profession in-volvement and so on,quality inspection,quality control and quality assessment in the flow process of the data from the data cen-ter are studied based on metadata,data quality and data modeling theories,and cause analysis of poor data quality. The electric power big data quality evaluation index system was built. The real-time monitoring,rapid motion detection methods and key tech-nologies of the electric power big data quality were researched. The data quality control and assessment system model suitable for the power big data are proposed in thispaper. The development of a data quality control platform was achieved. It ensured the data quality of the enterprise and raised the value of data applications.