Abstract:State Grid Materials Co., Ltd. is a professional organization and centralized bidding agency platform of State Grid Corporation of China. The company takes the service force intensive management and the power grid construction as its own task, fully exerts its own advantages, and establishes a set of quality early warning system based on large data of power grid materials. The early warning system makes full use of the data resources of the scientific research institute and the manufacturer. By collecting and mining the data of the material manufacturer''s information, the price of the raw materials, the cost of the labor, the reasonable profit and the defect of the industry, this early-warning system makes use of the big data thinking and starts from the five links of the "man-machine material law ring" produced by the equipment. The cost model, the quality defect bank and the average cost database are built on the basis of the business cost survey data, and the normal distribution analysis method is adopted to establish the early warning system based on a set of "red yellow and green light" early warning logic.This paper takes distribution transformer as an example.