Research And Optimization Of The Control Model Of Combustion Process Of Medium-Thick Plate Reheating Furnace

The medium-thick plate is an indispensable and important steel variety of national modernization,widely used in all fields of national economic construction,and its production level is an important symbol of the level of a country’s steel industry.As a key intermediate device for continuous casting and rolling,the heating furnace is used to heat the medium thick slab to meet the target temperature required for rolling.The combustion process control is the core of the process control of the heating furnace,the main task is to control,coordinate and optimize the steel billet with better heating quality according to the production process and the relevant mathematical model.Under the basic principle of "Quality First,Green Development and Structural Optimization" in "Made in China 2025",the urgent need for green sustainable development,in order to obtain the steel billet with better heating quality while saving energy and reducing consumption,put forward higher requirements for the process control technology of the furnace.In this paper,in view of the problem of billet temperature prediction and furnace temperature setting controlled by the combustion process of the furnace,with the process control system upgrading and upgrading of a steel plant 3500 medium-thick plate furnace as the background,a large number of relevant literature sands at home and abroad are consulted,and the following contents are studied:(1)The optimization and correction of the billet temperature prediction model.In view of the problems of multivariate variables and inaccurate temperature prediction of the steel billet heating process,the thermal flow density,furnace temperature distribution and thermal materiality parameters are selected,the two-dimensional differential model is established with the finite differential method,and the steel billet temperature prediction model is optimized.The accuracy of the temperature prediction of steel billetis is improved.(2)Mixed heating furnace temperature setting and multi-target optimization.In view of the multi-target problem of mixed heating in steel mills,the evaluation index of the temperature of each billet furnace is used as the evaluation index of the steel seed grade,billet thickness,furnace temperature,temperature difference and position,and the corresponding index weight is determined by the TOPSIS-entropy met hod,and the furnace temperature setting value of each billet is obtained;The offline optimization of furnace temperature setting is carried out,and the multi-objective optimization of furnace temperature setting in eight different situations,such as different furnace conditions and changes in the pace of steel under steady and non-steady conditions,is studied in depth,and the furnace temperature setting is optimized on-line.(3)The field application of the combustion process control model of the medium-thick plate furnace.The optimized thermal flow density model,furnace temperature distribution model and two-dimensional differential model were embedded into the on-line combustion secondary automation system designed,and the good field application effect was obtained,mainly as follows:the temperature stability of each segment is within 9.2 degrees C;The energy saving rate of gas consumption was 6.88 percent,and the reduction rate of oxidation burn loss was 15.05 percent.The combustion secondary automation system embedded in the online,which is embedded in the online,obtains the medium-thick slab with better heating quality on the basis of energy saving and consumption reduction.