Abstract:As for the management and operation of the existing power material warehouses, it is mostly based on manual operations. The work content is complicated, the management content is diverse, and the amount of data processing is large. It is difficult to perform effective merge and fusion analysis. In addition, the material distribution is basically self-provisioned by the demand department, which is difficult to allocate; lack of information sharing mechanism, it is impossible to carry out timely quality inspection and analysis of the materials within the specified period, resulting in insufficient support for the management of the material supply chain. In this paper, the warehousing "storage, inspection, distribution" multi-source event data for fusion analysis. Identify and analyze the data source entity first, and repair and sort out the existing defect data based on the knowledge graph; then combine the trend characteristics of the integration of warehousing operations, integrate the multi-level input and output ratio control model of the warehouse operation data, real-time dynamic balance and adjustment Warehouse inventory; Finally, based on the real-time scheduling and distribution model, scheduling all levels of inbound and outbound data for solution optimization. After testing and use, the efficiency of warehousing information interaction has been greatly improved, the logistics distribution efficiency has been further improved, management and operation costs have been saved, and competitiveness has been improved.