Optimization Design of Data Label System Based on Data Indicator Health Rating Algorithm

With the rapid development of smart grid, the power system operation and maintenance data tends to be multi-source, Discretization and multi-dimensional, and the power operation and maintenance and dispatching departments can not efficiently and accurately integrate and analyze the complex and diverse monitoring status of power equipment, resulting in the inability of all power grid departments to coordinate operations. This article combines the data indicator health row scoring algorithm to optimize the existing data label system structure. After normalizing the data provided by the operation and maintenance department, the probability of various events occurring during the operation and maintenance process is calculated based on probability principles. Combined with the weight of the data indicators in the labeling system, the corresponding score for the system object is finally given. According to the threshold rules of the indicators, the process of data screening, alerting, and other processes is completed, Assist the operations department in completing data analysis and integration work more efficiently.