电力系统密码测评标框架中的数据质量提升  

Data quality improvement in the framework of power system password evaluation standard

作　　者：刘思杙 LIU Siyi

机构地区：[1]国网四川省电力公司技能培训中心,四川成都610072

出　　处：《电力系统装备》2025年第1期182-185,共4页Electric Power System Equipment

摘　　要：在数字化转型的浪潮中,数据质量成为衡量电力企业信息安全与管理成熟度的重要标尺.文章聚焦于电力行业典型系统的密码测评,基于GB/T 36344-2018《数据质量评价指标》,深入分析了数据质量的6个核心维度,提出针对性的评测标准与方法,旨在构建一套科学、系统的数据质量提升策略,支撑电力行业的密码测评工作,确保数据在运行决策中发挥最大价值.The wave of digital transformation,data quality has emerged as a crucial benchmark for measuring the information security and management maturity of electric power enterprises.This study focuses on the password evaluation of typical systems in the power industry,grounded in the GB/T 36344—2018"Data Quality Evaluation Indicators".It delves into six core dimensions of data quality and proposes targeted evaluation criteria and methodologies,aiming to establish a scientific and systematic strategy for enhancing data quality.This strategy supports the password evaluation efforts in the power industry,ensuring that data maximizes its value in operational decision-making.

关 键 词：数据质量 大数据 人工智能 数据评估 数据改善 

分 类 号：TM712[电气工程—电力系统及自动化]