群厂核安全监督数据治理研究

Study on Data Government in Fleet Nuclear Safety Super-vision

随着工业信息化进程的开展,核电厂生产运营相关活动产生的数字数据量非常巨大,其增长态势也越来越迅猛。核安全监督逐渐形成了以数字数据为基础的监督活动。群厂核安全监督效率面临着多电厂结构各异的海量数据难题。本文运用数据治理理论方法,在分析群厂核安全监督数据特点的基础上,对群厂核安全监督数据治理进行了研究;结合群厂核安全监督系统开发实践,总结了两个提升核安全监督效率的重要影响因素:一是在核安全监督数据治理机构成员中增加IT专家;二是监督业务标准化并形成数据标准。

With the progression of the industrial informationization,a large quantity of digital data,which are generated from the activities related to nuclear power plants’production and operation,tend to increase sharply.The nuclear safety supervision activities have been progressively formed on the basis of the data.It is difficult to supervise fleet nuclear safety efficiently,as the data are massive and of low quality.According to the theory of data governance,this paper conducts a research on the fleet nuclear safety supervision data by analyzing the fleet safety supervision data characteristics.Considering the actual practices in the development of the fleet nuclear safety supervision system,two key elements to improve the efficiency of the nuclear safety supervision have been proposed:one is the introduction of the IT experts in the organization of the data gov-ernance;the other is the standardization of the supervision activities and the related data.