Construction of Cloud Edge Integrated Data Model and Design of Efficient Processing Algorithm in Distribution Network

The purpose of this article is to build a data model of power distribution network (PDN) which adapts to the cloud edge integration architecture, and to design an efficient data processing algorithm. In order to achieve this goal, this study analyzes the characteristics of PDN data, including data source, structure, scale and dynamics. Based on these characteristics, a multi-level and modular data model is constructed to meet the data processing needs of cloud, edge and terminal. Furthermore, an efficient processing algorithm is designed to improve the data transmission efficiency and processing speed. The experimental results show that the data model and processing algorithm are excellent in prediction accuracy, real-time, F1 score and mean absolute error (MAE), which proves its effectiveness and superiority. The research results not only provide a solution for the unified representation and efficient transmission of PDN data, but also lay the foundation for the intelligent management of PDN. Through the integrated data processing architecture of cloud edge, it is expected to promote the development of PDN in a more intelligent and efficient direction.