Product performance prediction modeling method and apparatus, computer device, computer-readable storage medium, and product performance prediction method and prediction system

Abstract

Provided are a product performance prediction modeling method and apparatus, a product performance prediction method, a product performance prediction system, a computer device, and a storage medium.The product performance prediction modeling method includes: acquiring first sample data, wherein the first sample data includes device outlier data generated in a process of manufacturing a product by a device; acquiring a production line configuration simulation parameter of a production line where the device is located, and product information of the product manufactured by the production line;selecting a simulation model to perform simulation test on the performance of the product, so as to obtain product performance simulation data; and inputting the device outlier data, the production line configuration simulation parameter, the product information and the product performance simulation data into a machine learning model to perform machine learning training, so as to obtain a product performance prediction model. The foregoing product performance prediction modeling method and apparatus, product performance prediction method, product performance prediction system, computer device and storage medium can accurately predict product performances during device exception.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method for establishing a product performance prediction model, a device for establishing a product performance prediction model, computer equipment, a computer-readable storage medium, a product performance prediction method, and a product performance prediction system. Background technique [0002] In industrial production process, product performance is a very important factor. With the development of science and technology, various equipment are used in many industrial production lines, but due to the increasingly high integration of the production line and the complex operating environment of the equipment, the occurrence of equipment failure has become inevitable and accidental, resulting in abnormal situations generation. This abnormal situation will inevitably affect the performance of the products produced by the production line, and will affect the fina...

AI Technical Summary

Problems solved by technology

However, since there are always some unknown differences between the real product production environment and the simulated data, for example, there will be unexpected situations in the machine during the production process, as more and more accidents occur, the performance prediction results will be different from those of The difference between the actual performance is getting bigger and bigger, it is difficult to meet the actual needs

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