Method, device and terminal equipment for predicting temperature drop of molten iron at iron-steel interface

Abstract

The present application discloses a method, device and terminal equipment for predicting the temperature drop of molten iron at the iron-steel interface. The method includes: building a data mart for the iron-steel interface; obtaining training samples from the data mart for the iron-steel interface to train the target model, Obtain the prediction model of molten iron temperature drop at the iron-steel interface; perform segmented mechanism modeling based on process information, and obtain a data-driven iron-steel interface molten iron temperature drop mechanism model; combine the data-driven iron-steel interface molten iron temperature drop prediction model and The coupling model of the molten iron temperature drop mechanism is obtained to obtain the coupled model of the molten iron temperature drop at the iron-steel interface, and the molten iron temperature drop information is predicted using the coupled model of the molten iron temperature drop at the iron-steel interface. Using the method for predicting the temperature drop of molten iron at the iron-steel interface described in this application can accurately predict the temperature change of molten iron in real time online, facilitate subsequent control of the temperature drop of molten iron, provide molten iron with stable composition and temperature, and contribute to the improvement of energy efficiency at the iron-steel interface, It is of great significance to reduce costs and increase efficiency, improve production efficiency and clean production.

Description

technical field [0001] The present application relates to the technical field of iron and steel smelting, in particular to a method, device and terminal equipment for predicting the temperature drop of molten iron at the iron-steel interface. Background technique [0002] With the continuous integration and development of industrialization and information technology, the information construction of iron and steel enterprises has been continuously improved and matured. Through the construction of the iron and steel enterprise data platform and its integration and mining of a large number of various data generated by the information system, it can provide strong support for quality defect tracing, product development, data accumulation and deep mining. At present, the construction of the data platform of iron and steel enterprises can usually establish communication interfaces with automation systems, instruments, and equipment, so as to flexibly and comprehensively collect al...

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Problems solved by technology

[0005] In view of this, the embodiment of the present application provides a method, device, and terminal equipment for predicting the temperature drop of molten iron at the iron-steel interface, so as to solve the problems in the prior art that the prediction of the temperature drop of molten iron is not accurate enough, the online prediction effect is poor, the workload is large, and manpower Technical problems of high cost and low iron and steel production efficiency

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