CN115740383A - Intelligent control method and system for production rhythm of steel refining process - Google Patents
Intelligent control method and system for production rhythm of steel refining process Download PDFInfo
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- CN115740383A CN115740383A CN202211472689.9A CN202211472689A CN115740383A CN 115740383 A CN115740383 A CN 115740383A CN 202211472689 A CN202211472689 A CN 202211472689A CN 115740383 A CN115740383 A CN 115740383A
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Abstract
The invention belongs to the technical field of steel-making production, and particularly provides an intelligent control method and system for the production rhythm of a steel refining process, wherein the method comprises the following steps: the estimated processing duration and the transferring duration of the steel grade corresponding to the current arrival heat A of RH under different subsequent procedures are obtained through historical big data analysis; calculating the total residual pouring time T1 required by all the heats from the heat A to the continuous casting current production heat B; and calculating the residual time length of the starting treatment of the furnace A to the station and the residual time length of the closing treatment through the smelting production paths of all the furnaces from the furnace A to the furnace B. And recommending or controlling equipment to start processing and recommending or controlling equipment to finish processing according to the continuous casting and the real-time production state of each process. According to the real-time production state of continuous casting, the temperature of leaving the station can be controlled by combining a temperature forecasting model. The continuous casting and water break accidents caused by negligence of personnel are avoided. The scheme has high automation degree, can efficiently realize continuous casting and has wide practical production significance.
Description
Technical Field
The invention relates to the technical field of steel-making production, in particular to an intelligent control method and system for production rhythm of a steel refining process.
Background
The RH vacuum refining process is a research object, the RH vacuum refining process takes initial Furnace molten steel and LF (Ladle Furnace Ladle refining) refined molten steel as raw materials, and the purposes of vacuum decarburization, degassing, deoxidation, molten steel temperature and chemical composition adjustment are achieved through the process operations of vacuumizing, oxygen blowing decarburization, alloying, wire feeding and the like. After the vacuum refining furnace is finished, the molten steel finally passes through a continuous casting process, and a casting blank is formed after casting and cooling. LF is a ladle refining heat, and components and temperature are adjusted by heating with electrodes. LF is mainly used for desulfurization and temperature regulation, and a rotary furnace and an electric furnace can be matched. There are generally two process paths from the vacuum refining furnace to continuous casting:
(1) After vacuum refining, the steel is directly lifted to Continuous Casting (CCM) for pouring (vacuum direct casting) through a crown block. The continuous casting process is multi-furnace molten steel continuous casting, and molten steel supply can not be interrupted, so that before the current casting furnace is finished, the overhead travelling crane must lift the molten steel processed in the previous process, and the molten steel reaches the temperature requirement of continuous casting and casting, otherwise, casting break accidents can occur.
(2) After vacuum refining, the steel is lifted by a crown block to be refined by an LF refining furnace and then lifted by the crown block to be conveyed to continuous casting and pouring. The vacuum refining treatment not only needs to meet the qualification of the temperature and the components of the discharged molten steel in the process, but also needs to meet the production rhythm requirements of continuous casting and LF furnaces. Certainly, in the production process, if continuous casting cannot be performed in the previous molten steel process, the pulling rate of continuous casting can be reduced, but the pulling rate of continuous casting is unstable, the quality of a casting blank is influenced, and the requirement of typical constant pulling rate cannot be met. When the continuous casting has a water changing port or other abnormal problems, the drawing speed must be adjusted, and the outlet temperature of the former procedure must be adjusted according to the drawing speed.
In summary, in the current steel-making production 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 treatment is too early, and the waiting time is too long when the continuous casting is carried out, so that the casting temperature can not meet the casting requirement.
(2) The treatment in the vacuum furnace is too late and too long, which causes the continuous casting molten steel to be cast off.
(3) And when abnormal pulling speed reduction occurs, automatically predicting the outbound target temperature, and recommending a vacuum refining adjustment scheme.
(4) Generally, the production rhythm is manually or semi-automatically mastered in real time, which not only influences the operation concentration of the vacuum furnace, but also easily causes decision errors due to other various matters, thereby causing unstable and smooth production of steel plants.
Disclosure of Invention
The invention aims at solving the technical problem of poor casting blank quality caused by poor production rhythm control in the processes from a vacuum refining furnace to a continuous casting procedure 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, obtaining estimated processing time and transferring time of steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
s2, acquiring all the heat weights of the same-casting-time casting sequence between the current arrival heat A and the current production heat B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the furnaces from A to B;
s3, calculating the remaining time length for starting the treatment from the furnace A to the station and the remaining time length for closing the treatment through the smelting production path from the furnace A to the furnace B;
and S4, automatically calculating the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommending or controlling equipment to start the treatment, automatically calculating the finishing time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to finish the treatment.
Preferably, all the heats between the current arrival heat a and the current production heat B of the removed caster include: RH and/or LF.
Preferably, the remaining pouring total duration T1 includes: the treatment time and the transfer time of all the furnaces from 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, calculating the pouring speed of the continuous casting machine, and obtaining the casting speed through the following formula
W3＝L1*L2*(S1+S2+…+Sn)*P/1000000/1000；
Sn is the flow drawing speed of a continuous casting machine and is in a unit of m/min; l1 is the width of the casting section of the continuous casting machine, and the unit is mm; l2 is the thickness of the casting section of the continuous casting machine, and the unit is mm; p is the density kg/m3 of the steel billet cast by the continuous casting machine; w3 is the minute casting amount of the continuous casting machine;
s22, calculating the total residual pouring time T1= (W1 + W2)/W3 according to the following formula;
both W1 and W2 are all the heat weights that are required to go to the caster for CMM.
Preferably, the S3 specifically includes:
when the smelting production route is a straight steel grade, namely converter-RH-CCM:
T2＝T1-T3-T4
T8＝T1-T4
when the smelting production route is a non-straight steel type, 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 time of RH, T3 is the RH treatment time, T4 is the RH sedation time, T5 is the LF treatment time, T6 is the LF sedation time, T7 is the transfer time between RH and LF, and T8 is the residual main valve closing time of RH.
Preferably, the S4 specifically includes: and before the temperature reaches B, controlling the end point temperature of the previous process of the continuous casting machine according to the drawing speed of the continuous casting machine, wherein the end point temperature is in a direct 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 estimated processing time and the transfer time of the steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
the calculation module is used for acquiring all the furnace weights of the same-casting-time casting sequence between the current arrival furnace A and the current production furnace B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the heats from A to B; calculating the residual time length of starting processing from the furnace A to the station and the residual time length of closing processing through the smelting production path from the furnace A to the furnace B;
and the control module automatically calculates the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommends or controls equipment to start the treatment, automatically calculates the finishing time of the vacuum treatment in the treatment process, and recommends or controls the equipment to finish the 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, which stores a computer management program, wherein the computer management program realizes the steps of the intelligent control method for the production rhythm of the steel refining process when being executed by the processor.
Has the advantages that: the invention provides an intelligent control method and system for production rhythm of a steel refining process, wherein the method comprises the following steps: obtaining estimated processing time and transferring time of the RH current arrival heat A steel type under different subsequent procedures through historical big data analysis; calculating the total residual pouring time T1 required by all the furnaces from A to B; and calculating the residual time length of the process from the A to the B in the heat and the residual time length of the closed process. And recommending or controlling equipment to start processing and recommending or controlling equipment to finish processing according to the continuous casting and the real-time production state of each process. The temperature of the station can be controlled according to the real-time production state of the continuous casting and in combination with a temperature forecasting model. The continuous casting and water break accidents caused by negligence of personnel are avoided. The scheme has high automation degree, can efficiently realize 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 provided by the invention;
fig. 2 is a schematic diagram of a hardware structure of a possible electronic device provided in the present invention;
FIG. 3 is a schematic diagram of a hardware structure of a possible computer-readable storage medium provided by the present invention;
FIG. 4 is a diagram of a smelting production route provided by the present invention.
Detailed Description
The following detailed description of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention.
Referring to fig. 1 and 4, the present invention Examples provide A Seed of a plant The intelligent control method for the production rhythm of the steel refining process comprises the following steps:
s1, obtaining estimated processing time and transferring time of steel type A of the current arrival heat under different subsequent procedures through historical big data analysis; the process specifically comprises the following steps: RH, LF and CCM, and the transfer duration comprises the sum of all transfer time from each process to CCM. There will be one processing duration for each process. The transfer process between RH and LF is a transport time, the process from RH or LF directly to continuous casting CCM is a sedation process, the corresponding sedation time, and the transfer time is the sum of the transport time and the sedation time.
S2, acquiring all the furnace weights of the same-casting-time casting sequence between the current arrival furnace A and the current production furnace B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the furnaces from A to B; from the end of the run to the start of the run, and finally to the end of the caster, there may be multiple runs in between, for example, both RH and LF and CCM may be running, so the total time T1 for all runs to run is calculated. 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. For example, if the smelting production path is converter-RH-LF-CCM, the current arrival heat A is RH, and all heats between the current production heat B for removing CCM include RH and LF.
And S3, calculating the remaining time for starting the treatment from the furnace A to the station and the remaining time for closing the treatment through the smelting production path from the furnace A to the furnace B. The smelting production route is approximately as follows: converter-CCM, or converter-RH-CCM, or converter-LF-RH-CCM, or converter-RH-LF-CCM. After the smelting production path from the A to the B heat is determined, for example, a converter-RH-LF-CCM, the total residual pouring time T1 can be calculated through the step S2.
And S4, automatically calculating the starting time of the vacuum treatment when arriving at the station according to the continuous casting and the real-time production state of the heat of each process, recommending or controlling equipment to start the treatment, automatically calculating the ending time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to end the treatment.
Taking the intelligent rhythm control with the arrival heat as the RH process as an example, the specific method is implemented as follows:
obtaining estimated processing time and transferring time of the RH current arrival heat A steel type under different subsequent procedures through historical big data analysis; acquiring all the heat weights of the same-casting-time casting sequence between the current RH arrival heat and the current production heat B of the removed continuous casting machine according to the casting heat plan; calculating the total residual pouring time T1 required by all the heats from A to B; and calculating the residual time length of the process from the A to the B in the heat and the residual time length of the closed process. According to the real-time production state of the continuous casting furnace and the LF furnace, the starting time of the vacuum treatment is automatically calculated when the continuous casting furnace and the LF furnace arrive at the station, the equipment is recommended or controlled to start the treatment, the ending time of the vacuum treatment is automatically calculated in the treatment process, and the equipment is recommended or controlled to end the treatment. The temperature of the station can be controlled according to the real-time production state of the continuous casting and in combination with a temperature forecasting model. The continuous casting and water break accidents caused by negligence of personnel are avoided. The scheme has high automation degree, can efficiently realize continuous casting and has wide practical production significance.
According to the production plan and the information of the current production real-time data (such as the pulling speed, the section, the flow number, the bale weight and the like) of the continuous casting, the start and end processing time of the RH furnace to be produced is calculated so as to meet the production rhythm of a steel mill and guide the production in order.
Trigger opportunity 1: when the station arrives, scanning the record of which the primary communication event table is 1 (indicating that the tracking program is processed), and starting rhythm model calculation;
correction timing 1: during the period from the ladle to the station to the start of the processing, the correction is performed every 5s, and the calculation is stopped after a processing start signal is detected.
1. The planning information is accurate, and the production path is complete.
2. The obtained continuous casting real-time data is accurate.
3. The weight of the ladle is actually measured by the weight of a continuous casting pouring position and the weight of a furnace passing through RH, and other values which cannot be obtained are calculated according to 260t empirical values.
The specific process is as follows:
(1) Combing the current production rhythm control status of the RH process, and applying the scene;
(2) Establishing standard smelting time models of different procedures;
(3) And establishing a temperature control model comprising a temperature prediction model from a refining process to a continuous casting process.
(4) Based on the application scenes, the intelligent rhythm control method is substituted into the calculation of the vacuum processing starting time to see whether each scene is applicable or not.
(5) Based on the application scenes, the intelligent rhythm control method is substituted into the calculation of the vacuum treatment ending time to see whether each scene is applicable or not.
(6) Based on the application scene, a 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 process and information, and relates to intelligent control of production rhythm of a vacuum refining process in a steel-making workshop. According to the real-time production state of the continuous casting furnace and the LF furnace, the starting time of the vacuum treatment is automatically calculated when the continuous casting furnace and the LF furnace arrive at the station, the equipment is recommended or controlled to start the treatment, the finishing time of the vacuum treatment is automatically calculated in the treatment process, and the equipment is recommended or controlled to finish the treatment. And automatically adjusting the outbound target temperature according to the real-time production state of continuous casting, predicting the outbound temperature in real time by combining a temperature control model, and recommending the relevant operation of adjusting the temperature of the RH furnace.
In a specific implementation scenario, the total weight W1 of molten steel to be poured of all the intermediate furnaces from the current casting furnace produced by the corresponding first casting machine to the current arrival RH station to be produced in the furnace is calculated, and the unit t, that is, W1 is all the furnaces which need to be used by the first casting machine for CMM. For example: currently, the arrival furnace time of RH is AAA, and the planned casting sequence is 11 after No. 1 continuous casting. The furnace number of continuous casting No. 1 is BBB, the planned casting sequence is 8, two furnaces 9 and 10 are required to be cast in the continuous casting machine No. 1, 9 and 10 are not treated by continuous casting, and the weight of the two furnaces is W (9) and W (10). W1= W (9) + W (10) at this time. The specific calculation process is as follows:
s21, calculating the pouring speed of the continuous casting machine, and obtaining the casting speed through the following formula
W3＝L1*L2*(S1+S2+…+Sn)*P/1000000/1000；
Sn is the flow drawing speed of a continuous casting machine and has a unit of m/min; l1 is the width of the casting section of the continuous casting machine, and the unit is mm; l2 is the thickness of the casting section of the continuous casting machine, and the unit is mm; p is the density kg/m3 of the steel billet cast by the continuous casting machine; w3 is the minute casting amount of the continuous casting machine;
s22, calculating the total residual pouring time T1= (W1 + W2)/W3 according to the following formula;
both W1 and W2 are all the heat weights that are required to go to the caster for CMM.
The S3 specifically includes:
when the smelting production route is a straight steel grade, namely converter-RH-CCM:
T2＝T1-T3-T4
T8＝T1-T4
when the smelting production route is a non-straight steel type, 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 time of RH, T3 is the RH treatment time, T4 is the RH sedation time, T5 is the LF treatment time, T6 is the LF sedation time, T7 is the transfer time between RH and LF, and T8 is the residual main valve closing time of RH.
In a preferred embodiment, the S4 specifically includes: and before the temperature reaches B, controlling the end point temperature of the previous process of the continuous casting machine according to the drawing speed of the continuous casting machine, wherein the end point temperature is in a direct proportional relation with the drawing speed. And calculating the increment and decrement of the outlet temperature compared with the normal heat according to the time length of the boiler which is more or less than the normal heat during the continuous casting treatment so as 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 with the pulling rate is that the larger the pulling rate is than the classical pulling rate, the lower the target RH end point temperature is, and the smaller the pulling rate is, the higher the end point temperature is. For example, the temperature of molten steel to the CCM is related to the pulling speed of the CCM, the pulling speed is reduced by 0.5 degrees, and the temperature is reduced by 5 degrees.
Specifically, the pulling speed of each continuous casting flow, the net weight of ladle molten steel of a pouring position and a waiting position of a continuous casting ladle turret, a process path of a furnace number arriving at a station and scheduling data are obtained, and the starting time, the ending time and the end point temperature of the current vacuum treatment furnace number are reversely estimated by combining the overhead crane hoisting time, the processing time of the steel type of the vacuum furnace, the processing time of the steel type of the LF furnace and a molten steel temperature drop model in 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 estimated processing time and the transfer time of the steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
the calculation module is used for acquiring all the furnace weights of the same-casting-time casting sequence between the current arrival furnace A and the current production furnace B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the heats from A to B; calculating the residual time length of starting processing from the furnace A to the station and the residual time length of closing processing through the smelting production path from the furnace A to the furnace B;
and the control module automatically calculates the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommends or controls equipment to start the treatment, automatically calculates the finishing time of the vacuum treatment in the treatment process, and recommends or controls the equipment to finish the treatment.
Fig. 2 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the invention. As shown in fig. 2, an embodiment of the present invention provides an electronic device, which includes a memory 1310, a processor 1320, and a computer program 1311 stored in the memory 1310 and operable on the processor 1320, where the processor 1320, when executing the computer program 1311, implements the following steps: s1, obtaining estimated processing time and transferring time of the steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
s2, acquiring all the heat weights of the same-casting-time casting sequence between the current arrival heat A and the current production heat B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the heats from A to B;
s3, calculating the remaining time for starting the treatment from the furnace A to the station and the remaining time for closing the treatment through the smelting production path from the furnace A to the furnace B;
and S4, automatically calculating the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommending or controlling equipment to start the treatment, automatically calculating the finishing time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to finish the treatment.
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, on which a computer program 1411 is stored, which computer program 1411, when executed by a processor, implements the steps of: s1, obtaining estimated processing time and transferring time of the steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
s2, acquiring all the heat weights of the same-casting-time casting sequence between the current arrival heat A and the current production heat B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the furnaces from A to B;
s3, calculating the remaining time length for starting the treatment from the furnace A to the station and the remaining time length for closing the treatment through the smelting production path from the furnace A to the furnace B;
and S4, automatically calculating the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommending or controlling equipment to start the treatment, automatically calculating the finishing time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to finish the treatment.
Compared with the prior art, the invention has the following advantages and positive effects:
1) The invention can automatically control the start and the end of vacuum treatment, meet the rhythm requirement of continuous casting 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 point 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 processes of continuous casting, is self-adaptive to the production rhythm of steelmaking, improves the casting drawing rate and reduces the accident rate of continuous casting production.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
While the 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. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An intelligent control method for production rhythm of steel refining process is characterized by comprising the following steps:
s1, obtaining estimated processing time and transferring time of the steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
s2, acquiring all the furnace weights of the same-casting-time casting sequence between the current arrival furnace A and the current production furnace B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the furnaces from A to B;
s3, calculating the remaining time length for starting the treatment from the furnace A to the station and the remaining time length for closing the treatment through the smelting production path from the furnace A to the furnace B;
and S4, automatically calculating the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommending or controlling equipment to start the treatment, automatically calculating the finishing time of the vacuum treatment in the treatment process, and recommending or controlling the equipment to finish the treatment.
2. The intelligent control method for production rhythm of steel refining process according to claim 1, wherein all heats between the current arrival heat a and the current production heat B of the going continuous casting machine comprise: RH and/or LF.
3. The intelligent control method for production rhythm of steel refining process according to claim 2, wherein the total residual pouring time T1 comprises: the treatment time and the transfer time of all the furnaces from A to B.
4. The intelligent control method for the production rhythm of the steel refining process according to claim 1, wherein the smelting production route is as follows:
converter-CCM, or
converter-RH-CCM, or
converter-LF-CCM, or
converter-LF-RH-CCM, or
converter-RH-LF-CCM.
5. The intelligent control method for the production rhythm of the steel refining process according to claim 4, wherein the S2 specifically comprises:
s21, calculating the pouring speed of the continuous casting machine, and obtaining the casting speed through the following formula
W3＝L1*L2*(S1+S2+…+Sn)*P/1000000/1000；
Sn is the flow drawing speed of a continuous casting machine and is in a unit of m/min; l1 is the width of the casting section of the continuous casting machine, and the unit is mm; l2 is the thickness of the casting section of the continuous casting machine, and the unit is mm; p is the density kg/m3 of a steel billet cast by a continuous casting machine; w3 is the minute casting amount of the continuous casting machine;
s22, calculating the total residual pouring time T1= (W1 + W2)/W3 according to the following formula;
both W1 and W2 are all the heat weights that are required to go to the caster for CMM.
6. The intelligent control method for the production rhythm of the steel refining process according to claim 5, wherein the S3 specifically comprises:
when the smelting production route is a straight steel grade, namely converter-RH-CCM:
T2＝T1-T3-T4
T8＝T1-T4
when the smelting production route is a non-straight steel type, 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 time of RH, T3 is the RH treatment time, T4 is the RH sedation time, T5 is the LF treatment time, T6 is the LF sedation time, T7 is the transfer time between RH and LF, and T8 is the residual main valve closing time of RH.
7. The intelligent control method for the production rhythm of the steel refining process according to claim 1, wherein the S4 specifically comprises: and before reaching B, controlling the end point temperature of the previous process of the continuous casting machine according to the drawing speed of the continuous casting machine, wherein the end point temperature is in a direct proportional relation with the drawing speed.
8. An intelligent control system for production rhythm of steel refining process, which is used for realizing the steps of the intelligent control method for production rhythm of steel refining process according to any one of claims 1-7, and comprises the following steps:
the historical data module is used for obtaining the estimated processing time and the transfer time of the steel type A of the current arrival heat under different subsequent procedures through historical big data analysis;
the calculation module is used for acquiring all the furnace weights of the same-casting-time casting sequence between the current arrival furnace A and the current production furnace B of the removed continuous casting machine according to the casting time plan; calculating the total residual pouring time T1 required by all the heats from A to B; calculating the residual time length of starting processing from the furnace A to the station and the residual time length of closing processing through the smelting production path from the furnace A to the furnace B;
and the control module automatically calculates the starting time of the vacuum treatment when arriving at the station according to the real-time production state of continuous casting and each process heat, recommends or controls equipment to start the treatment, automatically calculates the finishing time of the vacuum treatment in the treatment process, and recommends or controls the equipment to finish the treatment.
9. An electronic device comprising a memory and a processor, wherein the processor is used for implementing the intelligent control method for production rhythm of steel refining process according to any one of claims 1-7 when executing the computer management program stored in the memory.
10. A computer-readable storage medium, having stored thereon a computer management-like program, which when executed by a processor, performs the steps of the intelligent control method for production tempo of steel refining process according to any of claims 1-7.
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