Annealing furnace temperature prediction method and system

Abstract

The invention provides an annealing furnace temperature prediction method and system. The method comprises the steps that the method is adopted; Firstly, an SVR-based annealing furnace temperature prediction model is established; and then training the established model by adopting a ten-fold cross validation method of a neural network and the collected original production data, and finally settingactual production parameters and predicting the furnace temperature of the annealing furnace by utilizing the trained furnace temperature prediction model in combination with the field production data collected in real time. The method has the beneficial effects that a good prediction and guidance effect can be achieved on the actual production of the annealing furnace, an effective control basisis provided for annealing furnace plate temperature control, the steel coil over-temperature alarm proportion in the annealing furnace production process is reduced, the production environment is improved, and the production process is safe and stable.

Description

technical field [0001] The invention relates to the field of metallurgy, in particular to a method and system for predicting the temperature of an annealing furnace. Background technique [0002] At present, the cold-rolled hot-dip galvanizing annealing furnace of LY Steel adopts the first-level PLC cross-limiting PID control combined with the second-level model machine control of Nippon Steel. Since it was put into production, due to the variability of the environment, the complexity of the production process, and the The increase in the variety and specifications of coils has resulted in the temperature control speed, accuracy, and adaptability not being able to meet actual production needs. With the rapid development of intelligent control technology and computer technology, the application of computer control system of annealing furnace is becoming more and more extensive, which realizes the automation of production process and the temperature control level of annealing ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the change of multiple process variables and expected plate temperature targets during the switching of working conditions in the cold rolling continuous annealing production line, resulting in fluctuations in the furnace temperature in the zone, affecting the performance and quality of the steel coil and even causing accidents caused by exceeding the safety threshold for a long time problem, the present invention provides a method and system for predicting the temperature of an annealing furnace, a method for predicting the temperature of an annealing furnace, which mainly includes the following steps:

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