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CN-116237374-B - Heating furnace hot charging and hot feeding method based on slab transportation process temperature simulation

CN116237374BCN 116237374 BCN116237374 BCN 116237374BCN-116237374-B

Abstract

The embodiment of the application provides a heating furnace hot charging and hot feeding method based on slab transportation process temperature simulation and a computer readable storage medium, relating to the technical field of industrial furnaces, wherein the method comprises the steps of building a slab transportation process temperature model; predicting a slab conveying process through the slab conveying process temperature model, optimizing a hot rolling plan according to a prediction result, and conveying the slab to a heating furnace for online rolling according to the optimized hot rolling plan. The method can rapidly predict the temperature of each slab in each link, and is convenient for planning staff to accurately formulate a real-time production scheduling strategy, thereby improving the hot charging rate and the hot charging temperature of the slab and reducing the burning and discharging of the heating furnace.

Inventors

  • CAO HENG
  • WANG LEI
  • ZHANG HUAWEN
  • ZHANG PENG
  • WANG XIAOPING
  • MA WEIPING
  • YANG YE
  • LIU ZHIMIN
  • WANG LUN
  • LI JINBAO
  • LUO XUYE
  • CHEN JUN
  • LV KUN
  • CHEN JUNNAN
  • YU HAOMIAO

Assignees

  • 北京首钢股份有限公司

Dates

Publication Date
20260508
Application Date
20230302

Claims (7)

  1. 1. The heating furnace hot charging and hot delivering method based on slab transportation process temperature simulation is characterized by comprising the following steps of: Building a slab transportation process temperature model; predicting a slab transportation process through the slab transportation process temperature model, comprising: Calculating the predicted temperature of the slab in each link in the future and the residual time when the slab is cooled to a hot charging temperature limit point according to the surface temperature of the slab when the continuous casting process is completed and the temperature model of the slab transportation process; Optimizing a hot rolling schedule based on the prediction results, comprising: Initially forming a hot rolling schedule based on the production contract order information and the slab information, comprising: inquiring production contract order information and slab information in a slab raw material library; Selecting proper slabs from a slab raw material warehouse according to the requirements on a contract order for hot rolling; optimizing a hot rolling plan by combining a scheduling plan principle based on the predicted temperature of the slab and the remaining time when the slab is cooled to a hot charging temperature limit point; And conveying the slab to a heating furnace for online rolling according to the optimized hot rolling schedule.
  2. 2. The method of claim 1, wherein constructing the slab handling process temperature model comprises: Basic data required by the slab transportation process temperature model is acquired, wherein the slab transportation process temperature model comprises a billet transportation process mathematical model, a heat preservation process mathematical model and a stacking process mathematical model; And respectively building the mathematical model of the billet transportation process, the mathematical model of the heat preservation process and the mathematical model of the stacking process according to the basic data.
  3. 3. The method of claim 2, wherein the obtaining of the base data required for the slab handling process temperature model comprises: Obtaining the steel grade, the number and the surface temperature of the slab when the cutting of the continuous casting process is finished; acquiring the speed, time, ambient temperature, stacking mode of a blank warehouse, machine clearance operation parameters and the size of a heat preservation pit of the blank in each link; and obtaining the surface temperature measured before the slab enters the hot rolling heating furnace.
  4. 4. The method as recited in claim 1, further comprising: and acquiring the surface temperature of the slab before entering the heating furnace, and correcting the slab transportation process temperature model based on the surface temperature.
  5. 5. The method of claim 4, wherein said obtaining the surface temperature of the slab prior to entry into the heating furnace comprises: And measuring the surface temperature of the slab by a pyrometer arranged in front of a heating furnace, and transmitting the measured surface temperature to the slab conveying process temperature model.
  6. 6. The method of claim 4, wherein modifying the slab handling process temperature model based on the surface temperature comprises: calculating the deviation between the surface temperature and the predicted temperature by using a slab transportation process temperature model; And accumulating analysis deviation, and continuously correcting the slab transportation process temperature model.
  7. 7. A computer readable storage medium having stored thereon computer instructions which, when run on a computer, cause the computer to perform the method of any of claims 1-6.

Description

Heating furnace hot charging and hot feeding method based on slab transportation process temperature simulation Technical Field The application relates to the technical field of industrial furnaces, in particular to a heating furnace hot charging and hot feeding method based on slab transportation process temperature simulation and a computer readable storage medium. Background The continuous casting blank hot charging and hot delivering technology has the advantages of reducing the burning loss of a heating furnace, reducing the oxidation burning loss of a plate blank, improving the steel rolling yield and the like, and is one of the key points of upgrading the existing steel production technology. Generally, the heating furnace yield can be improved by 10-15% and the burnup can be reduced by 5-6% when the hot charging temperature of the continuous casting blank is increased by 100 ℃. The research of improving the hot charging and hot delivering level and fully playing the hot charging effect is significant. In the prior art, a planner cannot obtain the temperature of a slab at the first time, and it is difficult to quickly and accurately distinguish whether the slab to be planed is a cold-charged slab or a hot-charged slab, and the situation that the cold-charged slab and the hot-charged slab are mixed and planed in a rolling plan single often exists. The heating time of the cold-charging plate blank is usually 20 minutes longer than that of the hot-charging plate blank, and if the hot-charging plate blank and the cold-charging plate blank are mixed for production, the hot-charging plate blank also needs to be executed according to the technological system requirement of the cold-charging plate blank. This results in insufficient hot-fill effect and also in an affected production efficiency of the production line. Disclosure of Invention The embodiment of the application provides a heating furnace hot charging and hot feeding method based on slab transportation process temperature simulation and a computer readable storage medium, according to the method, the hot rolling schedule of the slab is optimized through the prediction result of the slab transportation process, so that the cold-charging slab and the hot-charging slab are distinguished, and the mixed arrangement condition of the cold-charging slab and the hot-charging slab is reduced. Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application. According to a first aspect of the embodiment of the application, a heating furnace hot charging and hot delivering method based on slab transportation process temperature simulation is provided, comprising the following steps: Building a slab transportation process temperature model; predicting a slab conveying process through the slab conveying process temperature model; optimizing a hot rolling plan according to the prediction result; And conveying the slab to a heating furnace for online rolling according to the optimized hot rolling schedule. In some embodiments of the present application, based on the foregoing solution, the building a slab transportation process temperature model includes: Basic data required by the slab transportation process temperature model is acquired, wherein the slab transportation process temperature model comprises a billet transportation process mathematical model, a heat preservation process mathematical model and a stacking process mathematical model; And respectively building the mathematical model of the billet transportation process, the mathematical model of the heat preservation process and the mathematical model of the stacking process according to the basic data. In some embodiments of the present application, based on the foregoing, the obtaining the basic data required for the slab transportation process temperature model includes: Obtaining the steel grade, the number and the surface temperature of the slab when the cutting of the continuous casting process is finished; acquiring the speed, time, ambient temperature, stacking mode of a blank warehouse, machine clearance operation parameters and the size of a heat preservation pit of the blank in each link; and obtaining the surface temperature measured before the slab enters the hot rolling heating furnace. In some embodiments of the present application, based on the foregoing, the predicting the slab conveying process by the slab conveying process temperature model includes: And calculating the predicted temperature of the slab in each link in the future and the residual time when the slab is cooled to the hot charging temperature limit point according to the surface temperature of the slab when the continuous casting process is completed and the temperature model of the slab transportation process. In some embodiments of the application, based on the foregoing, the optimizing the hot rolling schedule according to