Seamless steel tube continuous rolling process intelligent prediction system and method based on Matlab

Abstract

The invention discloses a seamless steel tube continuous rolling process intelligent prediction system based on Matlab, and belongs to the technical field of seamless steel tube continuous rolling processes. The system comprises a continuous rolling process model design calculation module, an intelligent model prediction module and a feedback module, wherein the continuous rolling process model design calculation module establishes a process flow and designs process parameters to guide actual production, and the intelligent model prediction module is used for importing actual production data to train a neural network; and the feedback module analyzes data trained by the neural network and adjusts process parameters. In addition, the invention also provides a prediction method based on the intelligent prediction system. The system is a continuous rolling process intelligent system integrating design, prediction and feedback, and is developed and realized in a Matlab App Designer environment, so that establishment, optimization, prediction and feedback of an intelligent model prediction module and interaction of other systems are more efficient and convenient, and reference values are provided for adjustment of process parameters of a steel rolling mill.

Description

technical field [0001] The invention belongs to the technical field of continuous rolling of seamless steel pipes, in particular to a Matlab-based intelligent prediction system and method for continuous rolling of seamless steel pipes, and in particular to a BP based on Matlab and Matlab App Designer platform optimized by genetic algorithm A neural network-based system and method for intelligent prediction of process parameters of continuous rolling of seamless steel pipes. Background technique [0002] At present, in the traditional continuous rolling process of seamless steel pipes, the process parameters are adjusted through trial rolling, which leads to waste of materials, energy and time. Designers pay attention to intelligence, precision and sustainability. Among them, the neural network Intelligent prediction has become the direction of key research and application in our country and many other countries. [0003] The continuous rolling process, as the second process...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a Matlab-based intelligent prediction system for continuous rolling process of seamless steel pipes, aiming to solve the problem that the continuous rolling process modeling and quality of seamless steel pipes cannot be accurately and intelligently predicted

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