Processing method of unstructured power material data based on edge computing framework

With the development of power system, the processing of unstructured power material data has become increasingly important, especially in the context of diverse data types and expanding scale. Unstructured data accounts for a considerable proportion, such as images, videos, text and so on. The processing of these data is very important for the efficiency and accuracy of power material management. The emergence of edge computation framework provides new ideas and methods for the processing of unstructured power material data. Using edge computation framework to process these unstructured data can effectively improve the efficiency of data processing, reduce cloud dependence, and optimize data storage and security management. This paper covers the basic concepts of unstructured data, the design of edge computation architecture and the dynamic secure storage scheme of data and analyzes the application effects of various technologies in different scenarios.