A warehouse logistics sniffing method and system based on big data analysis

Abstract

The present application relates to the technical field of logistics warehouse management, and particularly relates to a warehouse logistics sniffing method and system based on big data analysis, which comprises a control terminal, an input layer, a building layer and a sniffing layer; the control terminal is the main control terminal of the system and is used for controlling the operation of each operation layer in the system; the information of logistics goods is input through the input layer, the input layer synchronously classifies and stores the information of the logistics goods and feeds back to the building layer in real time, and the building layer synchronously receives the logistics goods information fed back by the input layer; the present application provides necessary data support for the construction of a goods distribution path model by obtaining the receiving address on the information sheet of the logistics goods, thereby providing conditions for the capture of the best goods distribution path based on the construction of the goods distribution path model, so that the staff performing the goods distribution work no longer completely relies on their own distribution experience to carry out the distribution work, and the distribution efficiency of the logistics goods is effectively improved based on the system as an auxiliary.