Foaming defect diagnosis method, device and equipment and storage medium

Abstract

The invention discloses a foaming defect diagnosis method, device and equipment and a storage medium. The method comprises the following steps: acquiring foaming data, gun head data and production data in a foaming process; the foaming data, the gun head data and the production data serve as input data to be input into a pre-trained foaming defect diagnosis model, so that the foaming defect diagnosis model determines basic factors causing foaming defects on the basis of a convolutional neural network in combination with influence factors influencing the foaming effect, and based on a Bayesian causal network, determining an action proportion corresponding to each root factor. According to the technical scheme, the foaming data, the gun head data and the production data obtained in the foaming process are input into the foaming defect diagnosis model, and the model processes the foaming data, the gun head data and the production data in combination with the influence factors influencing the foaming effect; determining the basic factors causing the foaming defect and the action proportion of each basic factor on the foaming defect, and realizing analysis and tracing of the basic factors causing the foaming defect.

Description

technical field [0001] Embodiments of the present invention relate to defect detection technology, and in particular to a method, device, equipment and storage medium for diagnosing foaming defects. Background technique [0002] The foaming process is a crucial link in the refrigerator production process. The effect of the foaming process directly determines the quality of the refrigerator. It is also related to the production cost of the production line and the energy-saving performance of the refrigerator, which in turn affects the user's use of the finished refrigerator. experience. Therefore, the quality of foaming is one of the key concerns of the entire refrigerator industry. [0003] At present, the foaming process of refrigerator factories is affected by many factors, and there are defects such as high foaming bubble rate. The factory does not store, use and analyze the detection data of the foaming process to conduct an in-depth analysis of the factors of foaming d...

AI Technical Summary

Problems solved by technology

[0003] At present, the foaming process of refrigerator factories is affected by many factors, and there are defects such as high foaming bubble rate. The factory does not store, use and analyze the detection data of the foaming process to conduct an in-depth analysis of the factors of foaming defects, but only relies on The subjective experience of process managers judges the factors that cause foaming defects

[0004] This method not only consumes a lot of manpower and time costs, but also cannot excavate and trace the root cause of foaming defects, resulting in low pass rate of refrigerator products, high repair rate, and great economic losses to the factory

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