电力企业生产数据多维度质量分析及处理

为了全面掌握内蒙古电力生产管理信息系统的数据质量情况,用规则权重配置方式综合评估设备台账、技术参数、检修、试验、缺陷等数据信息的完整性、正确性、一致性,发现存在设备信息错误以及系统垃圾数据较多的问题。对此提出建立数据质量管理体系,明确在数据产生、存储、应用整个生命周期中数据管理的要求;开展基于问题数据的治理,提高“源”数据的质量,增强数据可信度,实现数据全生命周期的有效性;提升数据交互的应用力度,发挥数据资产的价值。

Multi-Dimensional Quality Analysis and Processing of Production Data in Power Enterprise

In order to fully grasp the data quality of Inner Mongolia Electric Power Production Management Information System,the completeness,correctness and consistency of data information such as equipment account,technical parameters,overhaul,test and defects are comprehensively evaluated by means of rule weight configuration,and it is found that there are errors of equipment information and many waste data in the system.In view of these problems,this paper puts forward the establishment of data quality management system,clarifies the requirements of data management in the whole life cycle of data generation,storage and application,carries out governance based on problem data to improve the quality of source data,enhance the credibility of data,realize the validity of the whole life cycle of data,enhance the application of data interaction and give full play to the value of data assets.