A Prediction Method of Electric Energy Consumption of Combined Pickling Mill Based on Cold Rolling Mathematical Model

Abstract

The invention provides a method for predicting the electric energy consumption of a pickling rolling unit based on a cold rolling mathematical model, which belongs to the technical field of steel rolling. The method includes five parts: torque prediction, rolling machine power consumption prediction, coiler power consumption prediction, other public and auxiliary power consumption prediction, and model self-learning. The specific process is as follows: 1) Based on the cold rolling mathematical model, the rolling torque of each stand is calculated, Tension torque and loss torque; 2) Calculate the power consumption of each frame according to the calculated torque parameters; 3) Calculate the power consumption of the coiler according to the coiling number and the corresponding radius of the coiler; 4) By analyzing the historical data Statistically predict the public and auxiliary power consumption of strip steel; 5) Modify the model adaptive coefficient according to the measured data to improve the model prediction accuracy. The present invention can predict in advance the production power consumption of each coil of strip steel in the entire pickling unit in the rolling plan, which is of great significance for the peak shift production and cost saving of iron and steel enterprises.

Description

technical field [0001] The invention relates to the technical field of steel rolling, in particular to a method for predicting electric energy consumption of a combined acid rolling unit based on a cold rolling mathematical model. Background technique [0002] As we all know, cold-rolled products are closer to consumers and are widely used in household appliances, automobiles, electronics and other fields. Therefore, the quality of cold-rolled products is related to the life and death of an enterprise. However, with the continuous advancement of technology in various steel mills, the competition among peers has become increasingly fierce, and the profit margin has gradually declined. Therefore, the control of production costs has gradually been raised to an equally important position. In the production line of combined acid-rolling unit, energy consumption is the main part of production cost. The price of industrial electricity varies with different peak periods of electrici...

AI Technical Summary

Problems solved by technology

Patent 1 (Rolling schedule optimization method aimed at controlling power consumption per ton of steel in the cold tandem rolling process, 201510725285.X) uses an iterative algorithm to find the reduction rate and tension of the rolling mill that minimize energy consumption. This patent has the following deficiencies: 1 ) only considered the power consumption of the rolling mill; 2) did not predict the power consumption, and could not guide the site to flexibly adjust the production plan; 3) assumed that the exit speed of the final stand remained unchanged during the strip rolling process, and the rolling mill speed up and down in actual production , the high speed may be 30 times that of the low speed; 4) The model has not been self-learning, and the accuracy and adaptability of the model cannot be guaranteed

[0004] Judging from the currently available data, no method has been found that can accurately predict the power consumption of rolling mills

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