Artificial neural network based method for controlling online prediction of casting billet quality

Abstract

The invention relates to an artificial neural network based method for controlling online prediction of casting billet quality. The method comprises the steps of firstly, choosing prediction model variables and establishing a neural network model; selecting a training sample to study and train an established three-layer back propagation (BP) neural network after the structure of the network model and a target error are determined, and saving a weight and a threshold value after a network output layer error meets requirements; obtaining the trained and verified network model; and using the trained and verified BP neural network model to control the online prediction of intermediate cracks of continuous casting sheet billets. The method uses the classification ability of the neural network, evaluates prediction results of the network model through comparison of prediction values and measured values and guarantees the prediction precision of the model. By the aid of the method, the online automatic prediction of the casting billet quality during continuous casting production can be achieved, and the method is simple to operate, capable of predicting classifications of casting billet quality defects and defect grades and applicable to guiding of onsite production.

Description

technical field [0001] The invention belongs to the technical field of metallurgical automatic control, in particular to a control method for online forecasting of billet quality, which uses artificial neural network technology to predict and forecast billet quality online. Background technique [0002] In recent decades, continuous casting slab hot charging and continuous casting slab continuous rolling technology has made continuous casting the most active research field. The development of these technologies has greatly reduced equipment investment and production costs, and improved product competitiveness. Hot delivery, hot charging, and direct rolling technology have many advantages, but the production line is required to produce defect-free slabs, that is, the surface quality and internal quality of slabs can basically meet the requirements of direct rolling without cleaning. [0003] In the past, the quality of the slab produced by the continuous casting machine was m...

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Problems solved by technology

[0005] (1) The detection and judgment based on physical means should include: eddy current testing, optical testing, induction heating testing, electromagnetic ultrasonic testing, etc. The quantitative description parameters and types of defects that can be detected by these methods are very limited, and it is impossible to comprehensively evaluate the product surface quality

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