Heating furnace temperature decision-making method based on billet optimizing heating curve

Abstract

The invention provides a heating furnace temperature decision-making method based on a billet optimizing heating curve. The method comprises a first step of initialization of a calculation parameter, a second step of calculation segment division of a heating furnace, a third step of position tracking and temperature tracking of all billets in the heating furnace, a fourth step of judging whether the position tracking and the temperature tracking of all the billets in the heating furnace are finished, returning to the third step if the positioning tracking and the temperature tracking are not finished and continuing if the positioning tracking and the temperature tracking are finished, and a fifth step of judging whether a furnace temperature decision-making cycle arrives, returning to the third step if the furnace temperature decision-making cycle does not arrive and conducting the furnace temperature decision-making if the furnace temperature decision-making cycle arrives. The method is simple in correcting algorithm, fast in calculating speed, high in efficiency and beneficial for achieving online control of the heating furnace, saves energy and reduces consumption.

Description

technical field [0001] The invention relates to the technical field of development of a mathematical model of a heating furnace and the optimization control of a heating furnace, in particular to a decision-making method for a heating furnace temperature based on an optimized heating curve of a billet. Background technique [0002] The heating furnace is an important equipment in hot rolling production, and it is also one of the equipment that consumes a lot of energy in the hot rolling production line. In addition to the rapid upgrading of hot-rolled products and process equipment, and the continuous improvement of high-value-added steel plates for the heating process of the heating furnace, the heating furnace is facing the severe challenge of saving energy and reducing consumption and improving its own control level. [0003] Technicians in related fields have done a lot of research work on the above problems, especially in the development of mathematical models for the o...

AI Technical Summary

Problems solved by technology

[0004] The former puts aside the professional theory of thermal engineering. The quality of the sample directly affects the furnace temperature decision-making and steel temperature forecast, thereby affecting the control effect of the heating furnace. It is obviously impossible to reasonably realize the optimal control of the heating furnace and the purpose of energy saving and consumption reduction when used to guide actual production; The latter pays more attention to the decision-making of the heating furnace temperature and the steel temperature forecast, which is mainly based on the professional theory of thermal engineering to complete the calculation of the optimal furnace temperature setting value of the heating furnace through mathematical models

However, the generation of the furnace temperature setting value is mainly aimed at reaching the billet discharge temperature, and the furnace temperature setting value is continuously corrected through the deviation between the billet discharge temperature calculated by the mathematical model and the target discharge temperature, and the energy consumption of the heating furnace is not fully considered. And the temperature rise in the middle of the billet

Images