Corrugated carton material generation method and device, storage medium and terminal

Abstract

The invention discloses a corrugated carton material generation method and device, a storage medium and a terminal. The method comprises the steps that product parameters of a corrugated carton to be manufactured are obtained; inputting the product parameters of the to-be-manufactured corrugated carton into a pre-trained corrugated carton material matching model, and outputting a plurality of material matching sequences corresponding to the to-be-manufactured corrugated carton and the confidence coefficient of each material matching sequence; the corrugated carton material distribution model is constructed based on an Apriori algorithm and a collaborative filtering algorithm; and determining a target material sequence from the plurality of material sequences based on the confidence coefficient of each material sequence, and determining the target material sequence as the material sequence of the corrugated carton to be manufactured. According to the method, the Apriori algorithm and the collaborative filtering algorithm are adopted for modeling the historical carton material distribution data, so that the model can automatically generate the accurate material distribution sequence according to the product parameters of the corrugated carton to be manufactured, and the reasonability and accuracy of the generated materials of the corrugated carton are improved; furthermore, the raw material cost and the labor cost are greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of machine learning, and in particular to a method, device, storage medium and terminal for generating materials for corrugated cartons. Background technique [0002] Paper packaging is the largest sub-sector in the packaging industry. The paper packaging industry has a broad space for development and is in a stage of rapid development. With the implementation of environmental protection policies such as the "Plastic Restriction Order", paper packaging, as a renewable and environmentally friendly packaging material, will gradually replace plastic packaging and other packaging methods in the future, occupying a larger packaging market share. Energy saving and efficiency enhancement are the goals pursued by enterprises, among which the choice of materials for carton production is a particularly important part. [0003] At present, the sales and order review personnel of paper packaging companies will...

AI Technical Summary

Problems solved by technology

However, when selecting materials by traditional manual experience, the selection of materials may be unreasonable. The selected materials are not up to standard, resulting in reduced carton strength, poor burst resistance, poor moisture resistance, and poor product quality; or the performance of selected materials is too high. It will greatly increase the cost of carton materials

In addition, once the selected materials are unreasonable, it is necessary to rework and re-select the materials. This process is time-consuming and labor-intensive and affects the normal production of the order.

The method of judging carton materials based on human experience has the following defects: (1) a large amount of business and production experience is required; (2) a large number of tests are required to select the formula of carton base paper. It takes a lot of labor and time; (3) Manpower will inevitably miss real-time carton material information

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