CN115740383B - A method and system for intelligently controlling the production rhythm of steel refining process - Google Patents
A method and system for intelligently controlling the production rhythm of steel refining process Download PDFInfo
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Abstract
本发明属于炼钢生产技术领域，具体提供一种钢铁精炼工序生产节奏智能控制方法及系统，其中方法包括：通过历史大数据分析得到RH当前到站炉次A对应的钢种在不同后续工序下的预计处理时长及转运时长；计算包含炉次A到连铸当前生产炉次B之间的所有炉次所需要的剩余浇注总时长T1；通过炉次A到炉次B之间所有炉次的冶炼生产路径，计算出炉次A到站开始处理的剩余时长以及关闭处理的剩余时长。根据连铸、各工序炉次实时的生产状态，推荐或控制设备开始处理，推荐或控制设备结束处理。根据连铸实时的生产状态，还可以结合温度预报模型，控制出站温度。避免人员疏忽导致的连铸断浇事故发生。该方案自动化程度高，能高效实现连铸不断浇，具有广泛的生产实际意义。
The present invention belongs to the technical field of steelmaking production, and specifically provides a method and system for intelligently controlling the production rhythm of a steel refining process, wherein the method comprises: obtaining the estimated processing time and transfer time of the steel type corresponding to the current RH arrival furnace A under different subsequent processes through historical big data analysis; calculating the remaining total pouring time T1 required for all furnaces from furnace A to the current continuous casting production furnace B; calculating the remaining time for furnace A to start processing and the remaining time for closing processing through the smelting production path of all furnaces from furnace A to furnace B. According to the real-time production status of continuous casting and furnaces in each process, it is recommended or controlled that the equipment starts processing, and it is recommended or controlled that the equipment ends processing. According to the real-time production status of continuous casting, the temperature forecast model can also be combined to control the outlet temperature. Avoid the occurrence of continuous casting interruption accidents caused by negligence of personnel. The scheme has a high degree of automation, can efficiently realize continuous casting without pouring, and has broad practical significance for production.
Description
Technical Field
The invention relates to the technical field of steelmaking production, in particular to an intelligent control method and system for the production rhythm of a steel refining process.
Background
The RH vacuum refining (RH vacuum circulation degassing refining) process is used as a research object, and the RH vacuum refining is to take primary refining Furnace molten steel and LF (Ladle Furnace Ladle refining) refined molten steel as raw materials, and the purposes of vacuum decarburization, degassing, deoxidization, and adjustment of the temperature and chemical components of the molten steel are achieved through the technological operations of vacuumizing, oxygen blowing decarburization, alloy addition, wire feeding and the like. After the vacuum refining furnace is produced, the final molten steel is subjected to a continuous casting process, and a casting blank is formed after casting and cooling. LF is ladle refining heat, and the composition and the temperature are adjusted by electrode heating. LF is mainly used for desulfurization and temperature adjustment, and can be matched with an electric furnace. There are generally two process paths from vacuum refining furnaces to continuous casting:
(1) And (3) directly lifting the steel plate to Continuous Casting (CCM) casting (vacuum direct lifting) through a crown block after vacuum refining. The continuous casting process is continuous casting of multiple furnaces of molten steel, and the supply of the molten steel cannot be interrupted, so that before the current casting furnace is finished, the crown block must hoist the molten steel processed in the previous process and reach the temperature requirement of the molten steel for continuous casting and casting, otherwise, a casting breaking accident can occur.
(2) And after vacuum refining, lifting the steel plate by using a crown block until the steel plate is refined by using an LF refining furnace, and lifting the steel plate by using the crown block until continuous casting pouring is carried out. The vacuum refining treatment not only can meet the temperature and qualified components of the molten steel discharged in the working procedure, but also can meet the production rhythm requirements of continuous casting and LF furnaces. Of course, in the production process, if the continuous casting is not achieved in the previous process, the reduction of the continuous casting drawing speed can be considered, but the continuous casting drawing speed is unstable, the casting blank quality is affected, and the typical constant drawing speed requirement cannot be met. When the continuous casting has a water exchange port or other abnormal problems, the pulling speed must be adjusted, and the outlet temperature must be adjusted according to the pulling speed in the previous working procedure.
In summary, in the current steelmaking process, especially in the process from the vacuum refining furnace to the continuous casting process, the following technical problems need to be solved:
(1) The vacuum furnace is processed too early, and when the continuous casting is carried out, the waiting time is too long, so that the casting temperature does not meet the casting requirement.
(2) The vacuum furnace is treated too late and too long, so that continuous casting molten steel is cast off.
(3) When abnormal pull-down speed occurs, the outbound target temperature is automatically predicted, and a vacuum refining adjustment scheme is recommended.
(4) Under the general condition, the production rhythm is mastered in real time manually or semi-automatically, so that the operation concentration of the vacuum furnace is affected, and decision errors are easy to occur due to other various matters, so that the production of a steel mill is unstable and smooth.
Disclosure of Invention
The invention aims at the technical problem of poor casting blank quality caused by poor control of production rhythm in the process from a vacuum refining furnace to a continuous casting process in the steelmaking production process in the prior art.
The invention provides an intelligent control method for the production rhythm of a steel refining process, which comprises the following steps:
S1, analyzing historical big data to obtain the predicted treatment duration and transfer duration of the current arrival heat A steel grade in different subsequent procedures;
S2, acquiring all the heat weights of the same-time casting sequence between the current arrival heat A and the current production heat B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B;
S3, calculating the residual duration of starting treatment and closing treatment of the furnace from the station A through the smelting production paths of the furnace from the station A to the station B;
S4, according to the continuous casting and the real-time production state of each process heat, the time for starting the vacuum treatment is automatically calculated when the process arrives at the station, the treatment is recommended or controlled by the equipment, the time for ending the vacuum treatment is automatically calculated in the treatment process, and the treatment is recommended or controlled by the equipment to be ended.
Preferably, all the heats between the current arrival heat a and the current production heat B of the continuous casting machine comprise: RH and/or LF.
Preferably, the remaining total casting duration T1 includes: the treatment duration and the transfer duration of all the heats A to B.
Preferably, the smelting production path is as follows:
converter-CCM, or
Converter-RH-CCM, or
Converter-LF-CCM, or
Converter-LF-RH-CCM, or
Converter-RH-LF-CCM.
Preferably, the S2 specifically includes:
s21, firstly calculating the casting speed of the continuous casting machine by the following formula
；
Sn is the flow pulling speed of the continuous casting machine, and the unit is m/min; l1 is the casting section width of the continuous casting machine, and the unit is mm; l2 is the casting section thickness of the continuous casting machine, and the unit mm; p is the density kg/m3 of the billet cast by the continuous casting machine; w3 is the minute casting quantity of the continuous casting machine;
s22, calculating the total casting duration T1= (W1+W2)/W3 according to the following formula;
w1 and W2 are all heat weights required to the continuous casting machine for CMM.
Preferably, the step S3 specifically includes:
When the smelting production path is the straight steel grade, namely converter-RH-CCM:
T2= T1-T3-T4
T8= T1 -T4
when the smelting production path is of a non-straight steel grade, namely converter-RH-LF-CCM:
T2= T1-T3-T5-T6-T7
T8= T1 -T4-T5-T6-T7
wherein, T2 is the residual main valve opening duration of RH, T3 is the RH processing duration, T4 is the RH calm duration, T5 is the LF processing duration, T6 is the LF calm duration, T7 is the transfer duration between RH and LF, and T8 is the residual main valve closing duration of RH.
Preferably, the S4 specifically includes: before reaching B, controlling the end temperature of the previous working procedure of the continuous casting machine according to the drawing speed of the continuous casting machine, wherein the end temperature is in a proportional relation with the drawing speed.
The invention also provides an intelligent control system for the production rhythm of the steel refining process, which is used for realizing the steps of the intelligent control method for the production rhythm of the steel refining process, and specifically comprises the following steps:
The historical data module is used for obtaining the predicted processing time and the transferring time of the current arrival heat A steel grade in different subsequent procedures through historical big data analysis;
The calculation module is used for acquiring all the heat weights of the same-time casting sequences between the current arrival heat A and the current production heat B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B; calculating the residual duration of starting treatment and closing the treatment of the furnace from the station A to the station A through the smelting production paths of the furnace from the station A to the station B;
And the control module is used for automatically calculating the starting time of the vacuum treatment when arriving at a station according to the continuous casting and the real-time production state of the heat of each procedure, recommending or controlling equipment to start treatment, automatically calculating the ending time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to end treatment.
The invention also provides electronic equipment, which comprises a memory and a processor, wherein the processor is used for realizing the steps of the intelligent control method of the production rhythm of the steel refining process when executing the computer management program stored in the memory.
The invention also provides a computer readable storage medium, on which a computer management program is stored, which when executed by a processor, implements the steps of the intelligent control method of the production rhythm of the steel refining process.
The beneficial effects are that: the invention provides an intelligent control method and system for the production rhythm of a steel refining process, wherein the method comprises the following steps: the predicted treatment duration and the transfer duration of the RH current arrival heat A steel grade under different subsequent procedures are obtained through historical big data analysis; calculating the total casting duration T1 required by all the furnace times A to B; and calculating the residual duration of starting treatment and closing the treatment of the furnace from the station A to the station A through the smelting production paths of the furnace from the station A to the station B. And according to continuous casting and the real-time production state of each process heat, recommending or controlling equipment starts processing, and recommending or controlling equipment ends processing. According to the real-time production state of continuous casting, the temperature forecast model can be combined to control the outlet temperature. Avoiding continuous casting and casting accidents caused by negligence of personnel. The scheme has high automation degree, can efficiently realize continuous casting and continuous casting, and has wide practical production significance.
Drawings
FIG. 1 is a flow chart of an intelligent control method for the production rhythm of a steel refining process;
Fig. 2 is a schematic hardware structure of one possible electronic device according to the present invention;
FIG. 3 is a schematic diagram of a possible hardware configuration of a computer readable storage medium according to the present invention;
fig. 4 is a diagram of a smelting production path provided by the invention.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
Referring to fig. 1 and 4, the intelligent control method for the production rhythm of the steel refining process provided by the embodiment of the invention comprises the following steps:
S1, analyzing historical big data to obtain the predicted treatment duration and transfer duration of the current arrival heat A steel grade in different subsequent procedures; the process specifically comprises the following steps: RH, LF, CCM the transit time includes the sum of all transit times from each process to CCM. Each process corresponds to a processing duration. The transfer process between RH and LF has a transport duration, the process from RH or LF directly to continuous casting CCM is a sedation process, the corresponding sedation duration is the sum of the transport duration and the sedation duration.
S2, acquiring all the heat weights of the same-time casting sequence between the current arrival heat A and the current production heat B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B; from the start of the process at the arrival heat and finally to the end of the caster, there may be multiple runs in the middle, such as RH and LF and CCM, which may be in process, and thus the sum of the times T1 for all runs to be processed needs to be calculated. All heats between the current arrival heat a and the current production heat B of the continuous casting machine include: RH and/or LF. For example, the smelting production path is converter-RH-LF-CCM, the current arrival heat A is RH, and all heat between the current production heat B going to CCM comprises RH and LF.
S3, calculating the residual duration of starting treatment and closing treatment of the furnace from the station A through the smelting production paths of the furnace from the station A to the station B. The smelting production path is approximately as follows: converter-CCM, or converter-RH-CCM, or converter-LF-RH-CCM, or converter-RH-LF-CCM. After determining the smelting production paths of the heat A to the heat B, such as converter-RH-LF-CCM, the residual casting total duration T1 can be calculated through a step S2.
S4, according to the continuous casting and the real-time production state of each process heat, the time for starting the vacuum treatment is automatically calculated when the process arrives at the station, the treatment is recommended or controlled by the equipment, the time for ending the vacuum treatment is automatically calculated in the treatment process, and the treatment is recommended or controlled by the equipment to be ended.
Taking intelligent rhythm control taking the station heat as an RH process as an example, the specific method comprises the following implementation processes:
The predicted treatment duration and the transfer duration of the RH current arrival heat A steel grade under different subsequent procedures are obtained through historical big data analysis; acquiring all the furnace weights of the same-casting-time casting sequences between the current RH arrival furnace and the current production furnace B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B; and calculating the residual duration of starting treatment and closing the treatment of the furnace from the station A to the station A through the smelting production paths of the furnace from the station A to the station B. According to the real-time production state of the continuous casting and LF furnace, the time for starting the vacuum treatment is automatically calculated when the continuous casting and LF furnace arrives at the station, the treatment is recommended or controlled by the equipment, the time for ending the vacuum treatment is automatically calculated in the treatment process, and the treatment is recommended or controlled by the equipment. According to the real-time production state of continuous casting, the temperature forecast model can be combined to control the outlet temperature. Avoiding continuous casting and casting accidents caused by negligence of personnel. The scheme has high automation degree, can efficiently realize continuous casting and continuous casting, and has wide practical production significance.
And (3) according to the production plan and the information of the current production real-time data (drawing speed, section, flow number, bale weight and the like) of continuous casting, the start and end processing time of the furnace about to be produced by RH is calculated so as to meet the production rhythm of a steel mill and orderly guide production.
Trigger timing 1: when the station arrives, a record with the primary communication event table of 1 (indicating that the tracking program is processed) is scanned, and then rhythm model calculation is started;
correction timing 1: the time from the ladle to the station to the start of the process is corrected every 5s, and the calculation is stopped after the process start signal is detected.
1. The plan information is accurate, and the production path is complete.
2. The obtained continuous casting real-time data is accurate.
3. The ladle weight is calculated according to 260t empirical values, except that the weight at the continuous casting position and the weight of the furnace number passing through RH are actually obtained.
The specific process is as follows:
(1) The current production rhythm control state of the RH carding process and the application scene;
(2) Establishing standard smelting time models of different procedures;
(3) And establishing a temperature control model, wherein the temperature control model comprises a temperature prediction model from a refining process to a continuous casting process, and the temperature control model of the process.
(4) Based on application scenes, the rhythm intelligent control method is brought into calculation of the starting time of vacuum processing, and whether each scene is applicable or not is judged.
(5) Based on application scenes, the rhythm intelligent control method is carried into calculation of the vacuum processing ending time to see whether each scene is applicable.
(6) Based on application scenes, the rhythm intelligent control method is fused with a temperature control model, the target end point temperature is automatically adjusted, and a subsequent smelting operation scheme of the process is recommended.
The invention belongs to the technical field of steel production technology and information, and relates to intelligent control of production rhythm of a vacuum refining process in a steelmaking workshop. According to the real-time production state of the continuous casting and LF furnace, the time for starting the vacuum treatment is automatically calculated when the continuous casting and LF furnace arrives at the station, the treatment is recommended or controlled by the equipment, the time for ending the vacuum treatment is automatically calculated in the treatment process, and the treatment is recommended or controlled by the equipment. According to the real-time production state of continuous casting, the outbound target temperature is automatically adjusted, the outbound temperature is predicted in real time by combining with a temperature control model, and the related operation of RH furnace temperature adjustment is recommended.
In a specific implementation scenario, the total weight W1 of the molten steel to be poured from the current pouring heat produced by the corresponding first continuous casting machine to the current arrival station of RH is calculated, and the unit t, that is, W1 is all heat needed for CMM to the first continuous casting machine. For example: the current RH arrival heat is AAA, and the planned casting sequence is 11 after No.1 continuous casting. The heat of continuous casting No.1 is BBB, the planned casting sequence is 8, two furnaces 9 and 10 in the middle are cast in a No.1 continuous casting machine, the continuous casting treatment is not carried out on the continuous casting 9 and 10, and the weights of the two furnaces are W (9) and W (10) respectively. W1=w (9) +w (10) at this time. The specific calculation process is as follows:
s21, firstly calculating the casting speed of the continuous casting machine by the following formula
；
Sn is the flow pulling speed of the continuous casting machine, and the unit is m/min; l1 is the casting section width of the continuous casting machine, and the unit is mm; l2 is the casting section thickness of the continuous casting machine, and the unit mm; p is the density kg/m3 of the billet cast by the continuous casting machine; w3 is the minute casting quantity of the continuous casting machine;
s22, calculating the total casting duration T1= (W1+W2)/W3 according to the following formula;
w1 and W2 are all heat weights required to the continuous casting machine for CMM.
The step S3 specifically comprises the following steps:
When the smelting production path is the straight steel grade, namely converter-RH-CCM:
T2= T1-T3-T4
T8= T1 -T4
when the smelting production path is of a non-straight steel grade, namely converter-RH-LF-CCM:
T2= T1-T3-T5-T6-T7
T8= T1 -T4-T5-T6-T7
wherein, T2 is the residual main valve opening duration of RH, T3 is the RH processing duration, T4 is the RH calm duration, T5 is the LF processing duration, T6 is the LF calm duration, T7 is the transfer duration between RH and LF, and T8 is the residual main valve closing duration of RH.
Preferably, the step S4 specifically includes: before reaching B, controlling the end temperature of the previous working procedure of the continuous casting machine according to the drawing speed of the continuous casting machine, wherein the end temperature is in a proportional relation with the drawing speed. According to the time length that the boiler is more or less than the normal heat during continuous casting treatment, the increasing amount and the decreasing amount of the station temperature are calculated to establish a temperature control model. The overall relation of the temperature control model is that the RH end point temperature is calculated, and the relation of the RH end point temperature and the pull speed is that the higher the pull speed is, the lower the RH target end point temperature is, the lower the pull speed is, and the higher the end point temperature is. For example, the temperature of molten steel to the CCM is related to the pulling rate of the CCM, the pulling rate is lower by 0.5, and the temperature is reduced by 5 degrees.
Specifically, the drawing speed of each flow of continuous casting, the net weight of ladle molten steel at a pouring position and a waiting position of a ladle turret of continuous casting, the process path to a station heat and the data of planning scheduling are obtained, and the starting time, the ending time and the end temperature of the current vacuum treatment heat are reversely estimated by combining the overhead travelling crane lifting time, the treatment time of the steel grade of a vacuum furnace, the treatment time of the steel grade of an LF furnace and a molten steel temperature drop model in the historical big data.
The embodiment of the invention also provides an intelligent control system for the production rhythm of the steel refining process, which is used for realizing the steps of the intelligent control method for the production rhythm of the steel refining process, and specifically comprises the following steps:
The historical data module is used for obtaining the predicted processing time and the transferring time of the current arrival heat A steel grade in different subsequent procedures through historical big data analysis;
The calculation module is used for acquiring all the heat weights of the same-time casting sequences between the current arrival heat A and the current production heat B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B; calculating the residual duration of starting treatment and closing the treatment of the furnace from the station A to the station A through the smelting production paths of the furnace from the station A to the station B;
And the control module is used for automatically calculating the starting time of the vacuum treatment when arriving at a station according to the continuous casting and the real-time production state of the heat of each procedure, recommending or controlling equipment to start treatment, automatically calculating the ending time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to end treatment.
Fig. 2 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the present invention. As shown in fig. 2, an embodiment of the present invention provides an electronic device, including a memory 1310, a processor 1320, and a computer program 1311 stored in the memory 1310 and executable on the processor 1320, wherein the processor 1320 executes the computer program 1311 to implement the following steps: s1, analyzing historical big data to obtain the predicted treatment duration and transfer duration of the current arrival heat A steel grade in different subsequent procedures;
S2, acquiring all the heat weights of the same-time casting sequence between the current arrival heat A and the current production heat B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B;
S3, calculating the residual duration of starting treatment and closing treatment of the furnace from the station A through the smelting production paths of the furnace from the station A to the station B;
S4, according to the continuous casting and the real-time production state of each process heat, the time for starting the vacuum treatment is automatically calculated when the process arrives at the station, the treatment is recommended or controlled by the equipment, the time for ending the vacuum treatment is automatically calculated in the treatment process, and the treatment is recommended or controlled by the equipment to be ended.
Fig. 3 is a schematic diagram of an embodiment of a computer readable storage medium according to the present invention. As shown in fig. 3, the present embodiment provides a computer-readable storage medium 1400 having stored thereon a computer program 1411, which computer program 1411, when executed by a processor, performs the steps of: s1, analyzing historical big data to obtain the predicted treatment duration and transfer duration of the current arrival heat A steel grade in different subsequent procedures;
S2, acquiring all the heat weights of the same-time casting sequence between the current arrival heat A and the current production heat B of the continuous casting machine according to the casting schedule; calculating the total casting duration T1 required by all the furnace times A to B;
S3, calculating the residual duration of starting treatment and closing treatment of the furnace from the station A through the smelting production paths of the furnace from the station A to the station B;
S4, according to the continuous casting and the real-time production state of each process heat, the time for starting the vacuum treatment is automatically calculated when the process arrives at the station, the treatment is recommended or controlled by the equipment, the time for ending the vacuum treatment is automatically calculated in the treatment process, and the treatment is recommended or controlled by the equipment to be ended.
Compared with the prior art, the invention has the following advantages and positive effects:
1) The invention can realize the automatic control of the start and end of the vacuum treatment, meet the continuous casting rhythm requirement and the self process production requirement, and avoid errors caused by manual calculation and manual check.
2) The invention combines the production rhythm of continuous casting, automatically adjusts the end temperature of the process, ensures that the process meets the production requirement of continuous casting, and reduces the error of manual judgment.
3) The invention can be used for all the previous working procedures of continuous casting, is adaptive to the steelmaking production rhythm, improves the typical continuous casting drawing rate and reduces the incidence rate of continuous casting production accidents.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
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| CN108796348A (en) * | 2018-06-08 | 2018-11-13 | 河钢股份有限公司 | A kind of smelting process of high-carbon aluminum killed steel |
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| CN114505459B (en) * | 2021-12-30 | 2024-04-26 | 江苏飞锦达科技有限公司 | Automatic molten steel temperature control casting system of continuous casting machine |
| CN114888253B (en) * | 2022-05-20 | 2023-02-07 | 北京科技大学 | Steelmaking-continuous casting process scheduling method based on converter tapping delay degree judgment |
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| CN108796348A (en) * | 2018-06-08 | 2018-11-13 | 河钢股份有限公司 | A kind of smelting process of high-carbon aluminum killed steel |
| CN109857067A (en) * | 2018-12-23 | 2019-06-07 | 北京首钢自动化信息技术有限公司 | Steel-making multi-process temperature coordinated control system and method under a kind of big data environment |
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