A heating furnace hot charging and hot feeding method based on slab conveying process temperature simulation

Abstract

The embodiment of the application provides a heating furnace hot charging and hot feeding method based on a slab conveying process temperature simulation and a computer readable storage medium, and relates to the technical field of industrial furnaces.The method comprises the following steps: building a slab conveying 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 slabs to a heating furnace for on-line rolling according to the optimized hot rolling plan.The method can quickly predict the temperature of each slab at each link, facilitates a plan compiler to accurately formulate a real-time production scheduling strategy, thereby improving the slab hot charging rate and hot charging temperature, and reducing the fuel consumption and emission of the heating furnace.

Description

Technical Field

[0001] This application relates to the field of industrial furnace technology, and more specifically, to a heating furnace hot charging and hot delivery method based on temperature simulation of the slab transport process, and a computer-readable storage medium. Background Technology

[0002] Hot charging and hot delivery technology for continuously cast billets offers advantages such as reduced furnace fuel consumption, decreased slab oxidation and burn-off, and increased rolling mill output, making it a key focus of current steel production technology upgrades. Generally, for every 100°C increase in the hot charging temperature of continuously cast billets, furnace output can increase by 10-15%, and fuel consumption can decrease by 5-6%. Researching ways to improve hot charging and hot delivery levels and fully utilize the effects of hot charging is of great significance.

[0003] In existing technologies, planners cannot obtain slab temperatures immediately, making it difficult to quickly and accurately distinguish whether the slab to be planned is a cold-charged or hot-charged slab. Often, cold-charged and hot-charged slabs are mixed in the same rolling schedule. The heating time requirement for cold-charged slabs is often 20 minutes longer than that for hot-charged slabs. If hot-charged and cold-charged slabs are mixed in production scheduling, the hot-charged slabs must also follow the process requirements for cold-charged slabs. This results in the hot-charged effect not being fully realized, and the production line efficiency is also affected. Summary of the Invention

[0004] The embodiments of this application provide a hot charging and hot delivery method for a heating furnace based on temperature simulation of the slab transport process, as well as a computer-readable storage medium. The method optimizes the hot rolling plan of the slab by using the prediction results of the slab transport process to distinguish between cold-charged and hot-charged slabs, thereby reducing the situation of mixed loading and arrangement of cold-charged and hot-charged slabs.

[0005] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0006] According to a first aspect of the embodiments of this application, a method for hot charging and hot delivery of a heating furnace based on temperature simulation of the slab conveying process is provided, comprising:

[0007] Build a temperature model for the slab transportation process;

[0008] The slab transportation process is predicted using the temperature model described above.

[0009] Optimize the hot rolling plan based on the forecast results;

[0010] According to the optimized hot rolling plan, the slab is transported to the heating furnace for online rolling.

[0011] In some embodiments of this application, based on the foregoing scheme, the construction of the temperature model for the slab transportation process includes:

[0012] The basic data required to obtain the temperature model of the slab transportation process are as follows: mathematical model of the slab transportation process, mathematical model of the heat preservation process, and mathematical model of the stacking process.

[0013] Based on the basic data, mathematical models for the billet transportation process, the heat preservation process, and the stacking process are constructed respectively.

[0014] In some embodiments of this application, based on the foregoing scheme, the basic data required for obtaining the temperature model of the slab transportation process includes:

[0015] Obtain the steel grade, serial number, and surface temperature of the slab when it is cut in the continuous casting process;

[0016] Obtain the speed, time, ambient temperature, billet stacking method, machine cleaning operation parameters, and insulation pit dimensions of the slabs at each stage of transportation;

[0017] And to obtain the surface temperature of the slab before it enters the hot rolling furnace.

[0018] In some embodiments of this application, based on the foregoing scheme, the step of predicting the slab transportation process using the temperature model of the slab transportation process includes:

[0019] Based on the surface temperature of the slab when it is cut in the continuous casting process, the predicted temperature of the slab in each future stage and the remaining time when the slab cools to the hot charging temperature limit point are calculated using the temperature model of the slab transportation process.

[0020] In some embodiments of this application, based on the foregoing scheme, optimizing the hot rolling schedule according to the prediction results includes:

[0021] A preliminary hot rolling plan is formulated based on production contract order information and slab information;

[0022] Based on the predicted temperature of the slab and the remaining time when the slab cools to the hot charging temperature limit point, the hot rolling plan is optimized in conjunction with the production scheduling principle.

[0023] In some embodiments of this application, based on the foregoing scheme, the preliminary formation of a hot rolling plan according to production contract order information and slab information includes:

[0024] Query production contract order information and slab information in the slab raw material warehouse;

[0025] According to the requirements of the contract order, select suitable slabs from the slab raw material warehouse for hot rolling.

[0026] In some embodiments of this application, based on the foregoing scheme, the following further methods are also included:

[0027] The surface temperature of the slab before it enters the heating furnace is obtained, and the temperature model of the slab transportation process is corrected based on the surface temperature.

[0028] In some embodiments of this application, based on the foregoing scheme, obtaining the surface temperature of the slab before entering the heating furnace includes:

[0029] The surface temperature of the slab is measured by a pyrometer installed in front of the heating furnace, and the measured surface temperature is sent to the temperature model of the slab transportation process.

[0030] In some embodiments of this application, based on the foregoing scheme, the correction of the temperature model for the slab transport process based on the surface temperature includes:

[0031] The temperature model for slab transportation process calculates the deviation between the surface temperature and the predicted temperature;

[0032] Accumulated analysis of deviations led to continuous correction of the temperature model for the slab transportation process.

[0033] According to a second aspect of the embodiments of this application, a computer-readable storage medium is provided, wherein computer instructions are stored on the computer storage medium, and the computer instructions, when executed on a computer, cause the computer to perform the method described in the first aspect above.

[0034] According to a third aspect of the embodiments of this application, an electronic device is provided, including a memory and a processor;

[0035] The memory is used to store instructions;

[0036] The processor is configured to invoke instructions in the memory to cause the electronic device to execute the method described in the first aspect above.

[0037] The technical solution of this application can quickly predict the temperature of each slab at each stage of the transportation process through a temperature model of the slab transportation process. This facilitates the planners to accurately formulate real-time production scheduling strategies, thereby improving the hot charging rate and hot charging temperature of the slab and reducing the fuel consumption and emissions of the heating furnace.

[0038] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0039] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0040] Figure 1 A schematic flowchart of a heating furnace hot charging and hot delivery method based on temperature simulation of slab transportation process according to an embodiment of this application is shown.

[0041] Figure 2 A schematic flowchart of another heating furnace hot charging and hot delivery method based on temperature simulation of slab transportation process according to an embodiment of this application is shown. Detailed Implementation

[0042] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0043] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0044] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0045] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0046] The following detailed description of some embodiments of this application will be provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0047] See Figure 1 The diagram shows a schematic flow chart of a heating furnace hot charging and hot delivery method based on temperature simulation of the slab transport process according to an embodiment of this application.

[0048] like Figure 1 As shown, a heating furnace hot charging and hot delivery method based on temperature simulation of slab transportation process is demonstrated, specifically including steps S100 to S400.

[0049] Step S100: Build a temperature model for the slab transportation process.

[0050] Understandably, the temperature model for slab transportation is a mathematical model used to describe the relationship between temperature and other characteristics of the slab during transportation. This model can be used to obtain the required data values.

[0051] In some feasible embodiments, step S100 specifically includes steps S110 to S120.

[0052] Step S110: Obtain the basic data required for the temperature model of the slab transportation process. The temperature model of the slab transportation process includes: a mathematical model of the billet transportation process, a mathematical model of the heat preservation process, and a mathematical model of the stacking process.

[0053] Step S120: Based on the basic data, construct mathematical models for the billet transportation process, the heat preservation process, and the stacking process, respectively.

[0054] Understandably, different slabs will undergo different transport states after cutting and coming off the production line: State 1: After cutting, the slabs are directly scheduled for production and transported by roller conveyor for immediate loading; State 2: The slabs are transported by roller conveyor to a designated location, then hoisted by overhead crane to a predetermined stacking position, and loaded after production scheduling; State 3: The slabs are transported by roller conveyor to a designated location, then hoisted by overhead crane to a predetermined stacking position, and then transferred again to the machine cleaning area for machine cleaning as needed. After machine cleaning, the slabs are loaded after production scheduling; State 4: The slabs are transported by roller conveyor to a designated location, then hoisted by overhead crane to an insulation pit for insulation, and loaded after production scheduling.

[0055] Based on the slab's transport status, three sub-models are established: a mathematical model of the slab transport process, a mathematical model of the heat preservation process, and a mathematical model of the stacking process. These models are used to describe the relationship between the slab temperature and other characteristics during the transport process.

[0056] It should be noted that in this embodiment, the finite difference method is used to discretize the partial differential equations of the above three sub-models.

[0057] It should be noted that after the steel billet is cut in continuous casting, it enters the roller conveyor. During the roller conveyor transport, cleaning, heat preservation, and stacking processes, the billet maintains a temperature. The mathematical model governing equations for its internal heat conduction process are as follows:

[0058]

[0059] Where: ρ – density of steel billet, kg / m³ 3 c p - Specific heat of billet, J / (kg·℃); t - Temperature of billet, ℃; τ - Time, s; λ - Thermal conductivity of billet, W / (m·℃).

[0060] It is understandable that, since the slab is constantly subject to internal heat conduction during transportation, the above three sub-models all include the mathematical model of the internal heat conduction process.

[0061] In some feasible embodiments, the basic data required to obtain the temperature model of the slab transportation process includes:

[0062] Obtain the steel grade, serial number, and surface temperature of the slab when it is cut in the continuous casting process;

[0063] Obtain the speed, time, ambient temperature, billet stacking method, machine cleaning operation parameters, and insulation pit dimensions of the slabs at each stage of transportation;

[0064] And to obtain the surface temperature of the slab before it enters the hot rolling furnace.

[0065] Understandably, since the temperature prediction range of the slab transportation process that needs to be established includes the entire transportation process of the slab, it is necessary to obtain all the data of the slab during the transportation process when acquiring the basic data.

[0066] Continue to refer to Figure 1 Step S200: Predict the slab transportation process using the temperature model of the slab transportation process.

[0067] Understandably, the temperature model for slab transportation can use mathematical logic and mathematical language to clearly represent the relationship between the temperature of the slab and other factors during transportation. Therefore, after knowing some known factors, this model can be used to predict unknown factors that need to be known during transportation.

[0068] In some feasible embodiments, step S200 specifically includes:

[0069] Based on the surface temperature of the slab when it is cut in the continuous casting process, the predicted temperature of the slab in each future stage and the remaining time when the slab cools to the hot charging temperature limit point are calculated using the temperature model of the slab transportation process.

[0070] It should be noted that the definition of hot charging and hot delivery of slabs is as follows: slabs charged to the furnace at a temperature < 400℃ are considered cold charging; slabs charged to the furnace at a temperature ≥ 400℃ are considered hot charging. Therefore, during forecasting, it is necessary to calculate the future temperature of the slab to determine whether it is hot charging, and also to determine the time point when the slab cools to cold charging, so that the staff can arrange the hot rolling schedule accordingly.

[0071] Continue to refer to Figure 1 Step S300: Optimize the hot rolling plan based on the prediction results.

[0072] It should be noted that the existing hot-rolled production schedule is arranged as follows:

[0073] After logging into the production planning and scheduling system, the planners can access production contract order information and slab information in the slab raw material library. When preparing the plan, the planners select suitable slabs from the slab raw material library based on the contract order requirements and combine them with the production planning principles to form a hot rolling plan.

[0074] However, due to the inability to identify whether the slab is hot-charged or cold-charged, existing technologies often mix hot-charged and cold-charged slabs together when scheduling hot rolling operations, affecting the hot charging effect and reducing production efficiency. Therefore, in this embodiment, the prediction results of the slab transport process temperature model are used to optimize the hot rolling plan to ensure that the hot rolling plan better meets the process requirements.

[0075] In some feasible embodiments, step S300 specifically includes steps S310 to S320.

[0076] Step S310: Based on the production contract order information and slab information, a preliminary hot rolling plan is formed.

[0077] Understandably, this step can be obtained by following standard procedures.

[0078] Step S320: Based on the predicted temperature of the slab and the remaining time when the slab cools to the hot charging temperature limit point, the hot rolling plan is optimized in accordance with the production scheduling principle.

[0079] Understandably, once the predicted temperature of the slab is known, staff can group slabs with similar temperatures together; once the remaining time for the slab to cool to the hot-loading temperature threshold is known, staff can refer to the remaining time to arrange the slab transport sequence, thus preventing the slab from changing from hot loading to cold loading due to time constraints during transport.

[0080] In some feasible embodiments, step S310 specifically includes steps S311 to S312.

[0081] Step S311: Query the production contract order information and the slab information in the slab raw material library.

[0082] Step S312: Select a suitable slab from the slab raw material warehouse for hot rolling according to the requirements of the contract order.

[0083] Continue to refer to Figure 1 In step S400, the slab is transported to the heating furnace for online rolling according to the optimized hot rolling plan.

[0084] Understandably, the optimized hot rolling schedule is a rearrangement by staff based on forecast results, which is more in line with process requirements and can effectively improve production efficiency.

[0085] In some feasible embodiments, reference Figure 2 The method provided in this application embodiment further includes:

[0086] Step S500: Obtain the surface temperature of the slab before it enters the heating furnace, and correct the temperature model of the slab transportation process based on the surface temperature.

[0087] Specifically, in this embodiment, obtaining the surface temperature of the slab before it enters the heating furnace includes:

[0088] The surface temperature of the slab is measured by a pyrometer installed in front of the heating furnace, and the measured surface temperature is sent to the temperature model of the slab transportation process.

[0089] Specifically, in this embodiment, the correction of the temperature model for the slab transportation process based on the surface temperature includes:

[0090] The temperature model for slab transportation process calculates the deviation between the surface temperature and the predicted temperature;

[0091] Accumulated analysis of deviations led to continuous correction of the temperature model for the slab transportation process.

[0092] Understandably, continuously correcting the temperature model during slab transport by adjusting for deviations can improve the model's predictive accuracy.

[0093] Through the above technical solution, when scheduling production, the scheduling personnel can intuitively refer to the slab temperature provided by the temperature model and the predicted remaining time for the slab to reach 400°C to optimize the rolling plan and form the final rolling plan. This solves the problem of mixed scheduling of cold-charged and hot-charged slabs caused by the inability to grasp the slab temperature during the scheduling process.

[0094] Furthermore, the planners can intuitively determine whether the slab is cold-charged or hot-charged, thus quickly optimizing the production scheduling strategy during the planning process. This has led to an increase in the hot-charge and hot-delivery level of the production line from 64.46% to 71.04%, and a significant reduction in the mixed production ratio of cold-charged and hot-charged slabs, from 39.93% to 20.71%. The improved hot-charge and hot-delivery effect has also reduced the gas consumption level of the hot rolling furnace. Gas consumption has decreased from 128.97 m3 / t to 122.17 m3 / t, a reduction of 6.8 m3 / t, or 5.27%, resulting in annual cost savings of 9.18 million yuan.

[0095] In another aspect, this application also provides a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform a heating furnace hot charging and hot delivery method based on a slab transport process temperature model as described in this application.

[0096] In another aspect, this application also provides an electronic device, including a memory and a processor;

[0097] The memory is used to store instructions;

[0098] The processor is used to call instructions in the memory to cause the electronic device to execute the heating furnace hot charging and hot delivery method based on the temperature model of the slab transportation process described in this application.

[0099] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0100] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of this application.

[0101] Other embodiments of this application will readily conceive of by those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that this application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for hot charging and hot delivery of a heating furnace based on temperature simulation of the slab transportation process, characterized in that, include: Build a temperature model for the slab transportation process; The slab transport process is predicted using the temperature model described above, including: Based on the surface temperature of the slab when it is cut in the continuous casting process, the predicted temperature of the slab in each future stage and the remaining time when the slab cools to the hot charging temperature limit point are calculated by the temperature model of the slab transportation process. Optimize the hot rolling schedule based on the forecast results, including: Based on production contract order information and slab information, a preliminary hot rolling plan is formulated, including: Query production contract order information and slab information in the slab raw material warehouse; According to the requirements of the contract order, select suitable slabs from the slab raw material warehouse for hot rolling; Based on the predicted temperature of the slab and the remaining time when the slab cools to the hot charging temperature limit point, the hot rolling plan is optimized in combination with the production scheduling principle. According to the optimized hot rolling plan, the slab is transported to the heating furnace for online rolling.

2. The method according to claim 1, characterized in that, The construction of the temperature model for the slab transportation process includes: The basic data required to obtain the temperature model of the slab transportation process are as follows: mathematical model of the slab transportation process, mathematical model of the heat preservation process, and mathematical model of the stacking process. Based on the basic data, mathematical models for the billet transportation process, the heat preservation process, and the stacking process are constructed respectively.

3. The method according to claim 2, characterized in that, The basic data required to obtain the temperature model of the slab transportation process includes: Obtain the steel grade, serial number, and surface temperature of the slab when it is cut in the continuous casting process; Obtain the speed, time, ambient temperature, billet stacking method, machine cleaning operation parameters, and insulation pit dimensions of the slabs at each stage of transportation; And to obtain the surface temperature of the slab before it enters the hot rolling furnace.

4. The method according to claim 1, characterized in that, Also includes: The surface temperature of the slab before it enters the heating furnace is obtained, and the temperature model of the slab transportation process is corrected based on the surface temperature.

5. The method according to claim 4, characterized in that, The process of obtaining the surface temperature of the slab before it enters the heating furnace includes: The surface temperature of the slab is measured by a pyrometer installed in front of the heating furnace, and the measured surface temperature is sent to the temperature model of the slab transportation process.

6. The method according to claim 4, characterized in that, The correction of the temperature model for the slab transportation process based on the surface temperature includes: The temperature model for slab transportation process calculates the deviation between the surface temperature and the predicted temperature; Accumulated analysis of deviations led to continuous correction of the temperature model for the slab transportation process.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on a computer, cause the computer to perform the method of any one of claims 1-6.

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