This article investigates AI-based fully automated warehouse adjustment technology for distribution network automation. It first introduces the topology of the distribution network and its protection and control equipment, followed by an analysis of existing challenges. The study then elaborates on key methods, including the construction of a multi-dimensional collaborative data analysis framework and an adaptive protection parameter tuning model. In addition, it proposes solutions based on the edge computing layer of an intelligent warehouse dispatch system. Experimental results and practical applications demonstrate the technical advantages of the proposed approach, and the future development prospects of related technologies are discussed.