A rhythm adaptive refinement time dynamic allocation method

Abstract

The present invention provides a rhythm-adaptive refining time dynamic allocation method, which relates to the technical field of steel smelting and comprises the following steps: Step 1: constructing a continuous casting remaining time prediction model; Step 2: calling the continuous casting remaining time prediction model at a key time point in the current batch of molten steel refining; Step 3: obtaining the refining heating remaining time based on the continuous casting remaining time and the current batch of remaining refining-related operation time; Step 4: adjusting the remaining refining operation time based on the current heating gear and the refining heating remaining time. By using the continuous casting remaining time prediction model and the temperature prediction model, the present invention controls the temperature and time of the refining outlet to meet the requirements of the continuous casting machine, thereby increasing the continuous casting rate of the continuous casting machine and significantly improving the operating rate and production efficiency of the continuous casting machine.

Description

Technical Field

[0001] The present invention relates to the technical field of steel smelting, and in particular to a rhythm-adaptive refining time dynamic allocation method. Background Art

[0002] Currently, most steel mills use a process flow of "primary furnace (converter or electric furnace) - refining furnace (LF furnace) - continuous casting machine." Due to the numerous process flows and complex refining processes, the production process is prone to delays in tapping from the primary furnace, delayed molten steel logistics, abnormal final casting of continuous casting, schedule adjustments, and equipment failures. Furthermore, depending on the type of steel and process requirements, the continuous casting pouring temperature has a range of requirements. Consequently, to achieve continuous casting and significantly improve the operating rate and production efficiency of the continuous casting machine, the molten steel must not only arrive at the continuous casting machine at the end of the previous round of continuous casting, but also meet the discharge requirements. Excessively high or low temperatures can adversely affect the quality of the continuously cast ingots. Excessively high temperatures can lead to reduced molten steel viscosity, floating inclusions, and crusting on the mold surface. Excessively low temperatures can lead to poor molten steel fluidity, casting interruptions, and ingot shell defects.

[0003] In the existing technology, the time control of the refining process relies on manual experience. The feeding time, desulfurization time, heating time, temperature measurement and sampling time, and soft blowing time in the process are adjusted to meet the time requirements of the continuous casting machine as much as possible. Without data guidance, the end time of the previous round of continuous casting cannot be accurately known. Manual control of the refining time is inaccurate, highly arbitrary, and the operation is not standardized.

[0004] Refining temperature control typically uses a static model. This involves setting a heating rate in the control system, statically calculating the required heating time based on the initial and target temperatures, and then performing temperature measurement and correction. If the measured temperature falls below the target, heating is repeated. If the measured temperature exceeds the target, forced cooling is performed using cooling materials or natural cooling is performed. This method often requires secondary heating, resulting in low production efficiency. Summary of the Invention

[0005] The present invention is made in view of the above-mentioned problems, and its purpose is to provide a rhythm-adaptive refining time dynamic allocation method, which regulates the refining outlet time of molten steel through a continuous casting remaining time prediction model, and regulates the refining outlet temperature through a temperature prediction model. It can automatically regulate the transformer gear, automatically reduce the refining time to compensate for the heating time, control the refining outlet temperature and time to meet the requirements of the continuous casting machine, improve the continuous casting rate of the continuous casting machine, and thus significantly improve the operating rate and production efficiency of the continuous casting machine.

[0006] Specifically, a first aspect of the present invention provides a method for dynamically allocating time for rhythm adaptive refinement, comprising the following steps:

[0007] Step 1: Based on the past continuous casting process data, a continuous casting remaining time prediction model is constructed. The formula is as follows:

[0008] ;

[0009] in: is the remaining time of continuous casting;

[0010] is the current weight of the continuous casting arm;

[0011] To preset the weighing weight of the continuous casting arm when leaving the station;

[0012] is the continuous casting section width;

[0013] is the continuous casting section thickness;

[0014] Real-time casting speed of the casting machine;

[0015] is the density of molten steel;

[0016] The difference between the current weight of the continuous casting arm and the preset weight of the continuous casting arm at the exit is the current weight of the continuous casting remaining molten steel of the continuous casting arm. The width of the continuous casting section determines the production capacity and equipment adaptability of the continuous casting machine, while the thickness affects the production efficiency and product quality. The real-time pulling speed of the continuous casting machine has an important influence on both production efficiency and billet quality.

[0017] Step 2: at a key time point of the current batch of molten steel refining, calling the continuous casting remaining time prediction model to predict the remaining time of the previous batch of molten steel continuous casting;

[0018] In order to achieve continuous pouring of multiple furnaces of molten steel, reduce ladle changing time and improve production efficiency, it is necessary to predict the end time of continuous casting of the previous batch of molten steel at a critical time point so as to adjust the refining process time in real time and ensure that the current batch of molten steel reaches the continuous casting machine at the end time of continuous casting of the previous batch of molten steel, so as to ensure smooth continuous casting.

[0019] Step 3: Obtaining the remaining refining and heating time according to the remaining continuous casting time and the remaining refining-related operation time of the current batch;

[0020] Step 4: Adjust the remaining refining operation time according to the current heating gear and the remaining refining heating time to ensure that the heating time is sufficient and the target temperature is reached when the refining station is reached.

[0021] Furthermore, the current weight of the continuous casting arm is calculated based on the weighing data of the support arm of the continuous casting turntable, and the arm weight less than 30 tons is used as the judgment condition for no bag.

[0022] Furthermore, the current weight of the continuous casting arm, when the number of the continuous casting turntable arms is 2, is calculated as follows:

[0023] Case 1: The weight of the first arm is less than 30 tons, and the weight of the second arm is greater than or equal to 30 tons. Then the current weight of the continuous casting arm is equal to the weight of the second arm.

[0024] Case 2: The weight of the second arm is less than 30 tons, and the weight of the first arm is greater than or equal to 30 tons. Then the current weight of the continuous casting arm is equal to the weight of the first arm.

[0025] Case 3: If the weight of the first arm and the second arm are both greater than or equal to 30 tons, the current weight of the continuous casting arm is equal to the sum of the two arms minus the empty ladle weight corresponding to the arm with the smaller arm weight.

[0026] Furthermore, the key time nodes of molten steel refining specifically include: temperature measurement at the refining station, the first temperature measurement after heating, and temperature measurement after desulfurization.

[0027] The first temperature measurement after heating is the moment when the molten steel is first temperature measured and sampled after the heating and temperature rise stage is completed.

[0028] Furthermore, the remaining refining-related operation time includes at least one of feeding time, wire feeding time, desulfurization time, soft blowing time, temperature measurement and sampling time, electrode raising and lowering time, and reserved margin time.

[0029] Furthermore, the step four specifically includes: calling a temperature prediction model, and if the predicted temperature obtained by the current heating gear and the remaining refining heating time does not meet the refining outlet temperature, at least one of increasing the heating gear and increasing the heating time is used to increase the refining outlet temperature until the requirement is met.

[0030] Furthermore, the temperature prediction model is:

[0031] ;

[0032] in: Predicting temperature for molten steel;

[0033] Measure the temperature of molten steel;

[0034] It is the heating rate of molten steel at different gears;

[0035] The temperature of the furnace lining is reduced;

[0036] To reduce the charge temperature;

[0037] The temperature drops due to argon blowing;

[0038] To reduce the flue gas temperature;

[0039] is the time interval;

[0040] Furthermore, the increasing the heating time is specifically increasing the heating time by compressing the time of part of the operation process.

[0041] The time of the compression part operation process is usually the compression soft blowing time, but the compression amplitude is limited by the composition, temperature and floating requirements of the molten steel and needs to be carried out according to the actual process conditions on site.

[0042] Furthermore, if both the raising of the heating gear and the increase of the heating time are used simultaneously and the predicted temperature of the molten steel still cannot reach the outlet requirement, an automatic alarm will be given.

[0043] In the second aspect, the present invention further provides a computing device having the function of implementing the method described in the first aspect above. The beneficial effects can be found in the description of the first aspect and will not be described in detail here. The functions can be implemented by hardware or by executing corresponding software through hardware. The hardware or software includes one or more modules corresponding to the above functions. In one possible design, the structure of the device includes an acquisition module, a training module, and optionally, a construction module. These modules can implement the functions of the training node in the method example of the first aspect above. For details, please refer to the detailed description in the method example and will not be described here.

[0044] In a third aspect, the present invention further provides a computing device for implementing the functions of the method described in the first aspect above. The beneficial effects can be found in the description of the first aspect and will not be repeated here. The structure of the computing device includes a processor and a memory, and the memory is used to store instructions and / or data. The memory is coupled to the processor, and when the processor executes the program instructions stored in the memory, the function of the training node in the example of the first aspect above can be implemented. The structure of the computing device also includes a communication interface for communicating with other devices.

[0045] In a fourth aspect, the present invention further provides a computer-readable storage medium, in which instructions are stored, which, when executed on a computer, enable the computer to execute the method in the above-mentioned first aspect and various possible designs of the first aspect.

[0046] In a fifth aspect, the present invention further provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the method in the first aspect and various possible designs of the first aspect.

[0047] In a sixth aspect, the present invention further provides a computing chip, which is connected to a memory and is used to read and execute a software program stored in the memory, and to execute the methods in the above-mentioned first aspect and various possible implementations of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present drawings or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present drawings. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0049] Figure 1 is a flow chart of the steps of the present invention;

[0050] Figure 2 This is a flow chart of primary temperature control according to an embodiment of the present invention;

[0051] The purpose, features and advantages of this drawing will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0053] Obviously, the drawings described below are merely examples or embodiments of the present invention. Those skilled in the art can apply the present invention to other similar scenarios based on these drawings without inventive effort. Furthermore, it is understood that while the effort involved in such a development process may be complex and lengthy, for those skilled in the art related to the disclosure of the present invention, any design, manufacturing, or production changes based on the technical content disclosed in the present invention are merely conventional technical means and should not be construed as an inadequacy of the disclosure of the present invention.

[0054] Unless otherwise specified, all embodiments and optional embodiments of the present invention can be combined with each other to form new technical solutions.

[0055] Unless otherwise specified, all technical features and optional technical features of the present invention can be combined with each other to form a new technical solution.

[0056] Unless otherwise specified, all steps of the present invention may be performed sequentially or randomly, preferably sequentially. For example, the method includes steps (a) and (b), which means that the method may include steps (a) and (b) performed sequentially, or may include steps (b) and (a) performed sequentially. For example, the method may further include step (c), which means that step (c) may be added to the method in any order, for example, the method may include steps (a), (b) and (c), or may include steps (a), (c) and (b), or may include steps (c), (a) and (b), etc.

[0057] Unless otherwise specified, the terms "include" and "comprising" used in the present invention may be open-ended or closed-ended. For example, "include" and "comprising" may mean that other components not listed may also be included or that only the listed components are included.

[0058] Unless otherwise specified, the term "or" is inclusive in this disclosure. For example, the phrase "A or B" means "A, B, or both A and B." More specifically, the condition "A or B" is satisfied if any of the following conditions are met: A is true (or exists) and B is false (or does not exist); A is false (or does not exist) and B is true (or exists); or both A and B are true (or exist).

[0059] In order to better understand the solutions of the embodiments of the present invention, some relevant terms and concepts that may be involved in the embodiments of the present invention are first introduced below.

[0060] (1) Refining. Steel refining is a crucial part of the steel production process. Its purpose is to remove impurities such as sulfur and phosphorus from pig iron and adjust the composition of steel to meet the needs of specific uses. The refining process usually includes two stages: primary refining and secondary refining. In the primary refining stage, pig iron is preliminarily treated in a converter or electric arc furnace. The main task of this stage is to remove carbon and other impurities such as sulfur and phosphorus from pig iron, and to perform alloying at the same time to obtain molten steel with basic properties. Secondary refining, also known as off-furnace refining, is carried out after primary refining. Off-furnace refining can be carried out under vacuum, inert gas or reducing atmosphere to further remove gases and harmful impurities.

[0061] (2) Continuous casting. The core of the continuous casting process is to continuously cast liquid steel into solid billets. The main steps include: loading the refined steel into a ladle, rotating the ladle to the top of the tundish through a turntable to ensure uniform temperature and composition of the steel; the steel in the ladle flows into the tundish through a sliding nozzle, and the tundish serves as a storage and secondary refining function, while preventing secondary oxidation by covering the slag; the steel in the tundish is injected into the crystallizer through an immersion nozzle. The crystallizer is the core equipment of the continuous casting machine, which is used to quickly cool the liquid steel into a solid billet shell; the solidified billet shell continues to cool in the crystallizer, and the water spray cooling system further reduces the temperature of the billet shell to achieve sufficient strength to support subsequent operations; when the billet shell is completely solidified, it is pulled out of the crystallizer by a straightening machine and straightened to ensure the dimensional accuracy of the billet; finally, the continuous casting billet is cut into billets of a certain length as needed for subsequent rolling or heat treatment.

[0062] In this embodiment, Figure 1 As shown, a rhythm adaptive refinement time dynamic allocation method includes the following steps:

[0063] Step 1: Based on the past continuous casting process data, a continuous casting remaining time prediction model is constructed. The formula is as follows:

[0064] ;

[0065] In this embodiment:

[0066] =140.8t;

[0067] =100t;

[0068] =1.38m;

[0069] =0.207m;

[0070] =1.40m / min;

[0071] =7.42 ;

[0072] =40.8 / 2.97=13.73min;

[0073] The difference between the current weight of the continuous casting arm and the preset weight of the continuous casting arm at the exit is the current weight of the continuous casting remaining molten steel of the continuous casting arm. The width of the continuous casting section determines the production capacity and equipment adaptability of the continuous casting machine, while the thickness affects the production efficiency and product quality. The real-time pulling speed of the continuous casting machine has an important influence on both production efficiency and billet quality.

[0074] Step 2: at a key time point of the current batch of molten steel refining, calling the continuous casting remaining time prediction model to predict the remaining time of the previous batch of molten steel continuous casting;

[0075] In order to achieve continuous pouring of multiple furnaces of molten steel, reduce ladle changing time and improve production efficiency, it is necessary to predict the end time of continuous casting of the previous batch of molten steel at a critical time point so as to adjust the refining process time in real time and ensure that the current batch of molten steel reaches the continuous casting machine at the end time of continuous casting of the previous batch of molten steel, so as to ensure smooth continuous casting.

[0076] Step 3: Obtaining the remaining refining and heating time according to the remaining continuous casting time and the remaining refining-related operation time of the current batch;

[0077] Step 4: Adjust the remaining refining operation time according to the current heating gear and the remaining refining heating time to ensure that the heating time is sufficient and the target temperature is reached when the refining station is reached.

[0078] Furthermore, the current weight of the continuous casting arm is calculated based on the weighing data of the support arm of the continuous casting turntable, and the arm weight less than 30 tons is used as the judgment condition for no bag.

[0079] Furthermore, the current weight of the continuous casting arm, when the number of the continuous casting turret arms is 2, is calculated as follows:

[0080] Case 1: The weight of the first arm is less than 30 tons, and the weight of the second arm is greater than or equal to 30 tons. Then the current weight of the continuous casting arm is equal to the weight of the second arm.

[0081] Case 2: The weight of the second arm is less than 30 tons, and the weight of the first arm is greater than or equal to 30 tons. Then the current weight of the continuous casting arm is equal to the weight of the first arm.

[0082] Case 3: If the weight of the first arm and the second arm are both greater than or equal to 30 tons, the current weight of the continuous casting arm is equal to the sum of the two arms minus the empty ladle weight corresponding to the arm with the smaller arm weight.

[0083] Furthermore, the key time nodes of molten steel refining include: temperature measurement at the refining station, the first temperature measurement after heating, and temperature measurement after desulfurization.

[0084] The first temperature measurement after heating is the moment when the molten steel is first temperature measured and sampled after the heating and temperature rise stage is completed.

[0085] Furthermore, the remaining refining-related operation time includes at least one of the following: feeding time, wire feeding time, desulfurization time, soft blowing time, temperature measurement and sampling time, electrode raising and lowering time, and reserved margin time.

[0086] Furthermore, step four specifically includes: calling the temperature prediction model, if the predicted temperature obtained by the current heating gear and the remaining refining heating time does not meet the refining outlet demand, then at least one of increasing the heating gear and increasing the heating time is used to increase the refining outlet temperature until the demand is met.

[0087] Furthermore, the temperature prediction model is:

[0088] ;

[0089] In this embodiment, the temperature is measured The temperature of the molten steel is 1550℃, and the heating rate of the molten steel in the fifth gear is The furnace lining temperature drops to 4℃ / min. The charge temperature drops to -0.5℃ / min. -0.5℃ / min, argon blowing temperature drop -1℃ / min, the smoke temperature drops -0.5℃ / min, time If the time is 10min, the predicted temperature It is 1565℃.

[0090] Furthermore, the heating time is increased, specifically by compressing the time of part of the operation process.

[0091] The time of the compression part operation process is usually the compression soft blowing time, but the compression amplitude is limited by the composition, temperature and floating requirements of the molten steel and needs to be carried out according to the actual process conditions on site.

[0092] In this embodiment, Figure 2 As shown, the current heating gear is gear five, and the control flow chart after calling the temperature prediction model is shown in the figure. If the fifth-gear heating meets the heating demand, the fifth-gear heating is maintained. Otherwise, it is calculated whether the temperature prediction under the fourth gear is met. If it is met, it is adjusted to the fourth-gear heating; otherwise, the soft blowing time is compressed, and the heating time is increased by 5 minutes. After the time is increased, it is judged whether the temperature prediction is met. If it is met, it is adjusted to the fourth-gear heating. Otherwise, an alarm is issued and the operation is switched to manual operation.

[0093] Furthermore, if the heating gear is increased and the heating time is increased at the same time and the predicted temperature of the molten steel still cannot reach the outlet requirement, an automatic alarm will be issued.

[0094] It should be noted that the present invention is not limited to the above-mentioned embodiments. The above-mentioned embodiments are merely examples, and any embodiments having substantially the same structure and effect as the technical concept within the scope of the technical solution of the present invention are all included in the technical scope of the present invention. In addition, without departing from the scope of the present invention, other embodiments that can be conceived by those skilled in the art and that combine some of the constituent elements in the embodiments are also included in the scope of the present invention.

Claims

1. A rhythm adaptive refinement time dynamic allocation method, characterized in that: The following steps are involved: Step 1: Based on the past continuous casting process data, a continuous casting remaining time prediction model is constructed. The formula is as follows: ； in: is the remaining time of continuous casting; is the current weight of the continuous casting arm; The current weight of the continuous casting arm, when the number of the continuous casting turntable arms is 2, is calculated as follows: Case 1: The weight of the first arm is less than 30 tons, and the weight of the second arm is greater than or equal to 30 tons. Then the current weight of the continuous casting arm is equal to the weight of the second arm. Case 2: The weight of the second arm is less than 30 tons, and the weight of the first arm is greater than or equal to 30 tons. Then the current weight of the continuous casting arm is equal to the weight of the first arm. Case 3: The weight of the first arm and the second arm are both greater than or equal to 30 tons. The current weight of the continuous casting arm is equal to the sum of the two arms minus the empty ladle weight corresponding to the arm with the smaller arm weight. To preset the weighing weight of the continuous casting arm when leaving the station; is the continuous casting section width; is the continuous casting section thickness; Real-time casting speed of the casting machine; is the density of molten steel; Step 2: at a key time point of the current batch of molten steel refining, calling the continuous casting remaining time prediction model to predict the remaining time of the previous batch of molten steel continuous casting; Step 3: Obtaining the remaining refining and heating time according to the remaining continuous casting time and the remaining refining-related operation time of the current batch; Step 4: Adjust the remaining refining operation time according to the current heating gear and the remaining refining heating time to ensure that the heating time is sufficient and the target temperature is reached when the refining station is exiting; The step 4 specifically includes: calling a temperature prediction model; if the predicted temperature obtained from the current heating gear and the remaining refining heating time does not meet the refining outlet temperature requirement, at least one of increasing the heating gear and increasing the heating time is used to increase the refining outlet temperature until the requirement is met.

2. A rhythm adaptive refinement time dynamic allocation method according to claim 1, characterized in that: The current weight of the continuous casting arm is calculated based on the weighing data of the support arm of the continuous casting turntable, and the arm weight less than 30 tons is used as the judgment condition for no bag.

3. The method for dynamically allocating rhythm-adaptive refining time according to claim 1, characterized in that: The key time nodes of molten steel refining specifically include: temperature measurement at the refining station, the first temperature measurement after heating, and temperature measurement after desulfurization.

4. The method for dynamically allocating rhythm-adaptive refining time according to claim 1, characterized in that: The remaining refining-related operation time includes at least one of the following: feeding time, wire feeding time, desulfurization time, soft blowing time, temperature measurement and sampling time, electrode raising and lowering time, and reserved margin time.

5. The method for dynamically allocating rhythm-adaptive refining time according to claim 1, characterized in that: The temperature prediction model is: ； in: Predicting temperature for molten steel; Measure the temperature of molten steel; is the temperature rise rate of molten steel at different gears; The temperature of the furnace lining is reduced; To reduce the charge temperature; The temperature drops due to argon blowing; To reduce the flue gas temperature; is the time interval.

6. The method for dynamically allocating rhythm-adaptive refining time according to claim 1, characterized in that: The increasing of the heating time is specifically to increase the heating time by compressing the time of part of the operation process.

7. The method for dynamically allocating rhythm-adaptive refining time according to claim 1, characterized in that: If the two methods of increasing the heating gear and increasing the heating time are used simultaneously and the predicted temperature of the molten steel still cannot reach the outlet requirement, an automatic alarm will be issued.

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