Abstract: In order to promote the intelligent transformation of the power industry, improve the efficiency and safety of power grid operation, the research and application of a power intelligent control platform based on dynamic data labels have emerged. This study takes the efficient management of massive dynamic data in the power system as the starting point, systematically expounds the design concept and implementation path of dynamic data labeling technology, deeply analyzes the platform layered architecture, label generation and update strategy, and the construction process of intelligent analysis mechanism, and proposes innovative management measures that adapt to the complex operating environment of the power grid. Research shows that through the combination of dynamic tag technology and edge computing, the platform can realize real-time tracking and accurate identification of power data, effectively support key scenarios such as fault warning, load balancing and operation optimization, provide reliable basis for power system decision-making, and significantly improve the intelligent level and response ability of power grid operation.