Steelmaking integrated timetable management and control system and method

Abstract

The invention provides a steelmaking integrated timetable management and control system and method. The system comprises a monitoring module configured to obtain converter smelting data; constructing a converter smelting time model based on the converter smelting data; obtaining external refining data; based on the external refining data, a refining treatment time model is constructed; acquiring continuous casting data; constructing a continuous casting time model based on the continuous casting data; the control module is configured to generate an initial timetable based on a converter smelting time model, a refining treatment time model and a continuous casting time model; the initial time table is used for displaying converter smelting time, refining treatment time and continuous casting time; obtaining a production plan; based on a production plan, an initial timetable is adjusted, and a target timetable is generated, so that the problems that an existing timetable system lacks deep modeling of an internal mechanism of the steelmaking process, dynamic cooperative adjustment is difficult to achieve among multiple processes, and scheduling precision and flexibility are insufficient are solved.

Description

Technical Field

[0001] This application relates to the field of steelmaking process technology, and in particular to an integrated steelmaking timetable control system and method. Background Technology

[0002] In modern steel manufacturing, the steelmaking process encompasses multiple stages, including converter smelting, ladle refining, and continuous casting. These stages are highly coupled, subject to strong time constraints, and are extremely susceptible to disturbances such as equipment failures, compositional anomalies, and logistical delays. With increasingly fierce competition in the steel industry, the market has placed more stringent demands on the quality, delivery time, and production costs of steel products. Achieving high-paced, high-efficiency Just-In-Time (JIT) production has become a key requirement for steel companies to enhance their competitiveness, and precise scheduling of the steelmaking process is the core element in achieving this goal.

[0003] To address the scheduling needs of steelmaking, current steelmaking scheduling primarily employs static planning or centralized scheduling systems. Static planning involves establishing a fixed production plan before production begins and executing it according to a predetermined process. Centralized scheduling systems, on the other hand, use a central control unit to uniformly manage and schedule the entire steelmaking process. "Timetables," as a refined Just-In-Time (JIT) scheduling tool, are also applied to steelmaking production. They specify key parameters for each heat of molten steel, such as steel grade, start / end time, target composition, and casting speed curve, thereby achieving precise guidance throughout the entire steelmaking process. Furthermore, in recent years, Multi-Agent Systems (MAS) have gradually emerged in the field of complex industrial scheduling due to their distributed, adaptive, and collaborative decision-making capabilities, and some research has begun to explore their application in steelmaking scheduling.

[0004] However, static planning or centralized scheduling systems are slow to respond to disturbances such as equipment failures, abnormal compositions, and logistical delays, failing to adjust production plans in a timely manner and making it difficult to meet the requirements of high-paced, high-efficiency just-in-time production. Existing timetable systems lack in-depth modeling of the intrinsic mechanisms of the steelmaking process, cannot accurately grasp the thermodynamic and kinetic changes in the steelmaking process, and are difficult to achieve dynamic coordinated adjustments among multiple processes, resulting in insufficient scheduling accuracy and flexibility. Although MAS (Manufacturing Optimization System) has certain potential in complex industrial scheduling, research on its deep integration with steelmaking timetables and its coordinated optimization based on steelmaking thermodynamics, kinetics, and time constraint mechanisms is still lacking. Summary of the Invention

[0005] This application provides an integrated steelmaking timetable management system and method to solve the technical problem that existing timetable systems lack in-depth modeling of the inherent mechanism of the steelmaking process, making it difficult to achieve dynamic collaborative adjustment among multiple processes, resulting in insufficient scheduling accuracy and flexibility.

[0006] The first aspect of this application provides an integrated steelmaking timetable management system, including: Monitoring module and control module; The monitoring module is configured as follows: Acquire converter smelting data; the converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between target and initial temperatures; Based on the converter smelting data, a converter smelting time model is constructed; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data. Acquire ladle refining data; the ladle refining data includes: the heat required for the process, heating power, stirring time, and alloying time; Based on the ladle refining data, a refining processing time model is constructed; the refining processing time model is configured to determine the refining processing time based on the ladle refining data. Acquire continuous casting data; the continuous casting data includes: single furnace molten steel mass, molten steel density, billet cross-sectional area, and molten steel pouring speed; Based on the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data. The control module is configured as follows: Based on the converter smelting time model, refining treatment time model, and continuous casting time model, an initial timetable is generated; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time. Obtain the production plan; the production plan includes: the planned tapping time of molten steel; Based on the production plan, the initial timetable is adjusted to generate the target timetable.

[0007] In some embodiments, the converter smelting time model is: ; In the formula, For converter smelting time; The basic blowing time for molten steel; The target carbon content of molten steel; This represents the initial carbon content of the molten steel. The difference between the target and initial temperatures of the molten steel; and This is the preset process coefficient.

[0008] In some embodiments, the refining processing time model is: ; In the formula, For refining processing time; The heat required for the process; This refers to the heating power. This refers to the stirring time; This refers to the alloying time.

[0009] In some embodiments, the monitoring module is further configured to: Based on the steel pouring speed, a casting speed function is constructed; the casting speed function is characterized as a function of the steel pouring speed changing with time during continuous casting. Based on the casting speed function and the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is as follows: ; In the formula, For continuous casting time; For the quality of molten steel in a single furnace; Density of molten steel; This represents the cross-sectional area of ​​the cast billet. This is the pulling speed function.

[0010] In some embodiments, the control module is configured to: Based on the aforementioned casting speed function, the acceleration of molten steel pouring is determined; Determine the preset maximum time for molten steel pouring, the preset minimum time for molten steel pouring, and the preset maximum acceleration for molten steel pouring, such that the molten steel pouring speed is between the preset minimum time for molten steel pouring and the preset maximum time for molten steel pouring, and that the molten steel pouring acceleration is less than or equal to the preset maximum acceleration for molten steel pouring.

[0011] In some embodiments, the control module is further configured to: A first preset maximum buffer time from the converter smelting process to the ladle refining process, and a second preset maximum buffer time from the ladle refining process to the continuous casting process are determined, such that the buffer time from the converter smelting process to the ladle refining process is less than or equal to the first preset maximum buffer time, and the buffer time from the ladle refining process to the continuous casting process is less than or equal to the second preset maximum buffer time.

[0012] In some embodiments, the control module is further configured to: The preset maximum converter smelting process time, the preset maximum ladle refining process time, and the preset maximum continuous casting process time are determined, such that the converter smelting process time and the buffer time from the converter smelting process to the ladle refining process are less than or equal to the preset maximum converter smelting process time, the ladle refining process time, and the buffer time from the ladle refining process to the continuous casting process time, and the continuous casting process time is less than or equal to the preset maximum continuous casting process time.

[0013] In some embodiments, the control module is further configured to: The target timetable is sent to the display device for display; the target timetable includes: steel grade identifier, process plan start time, process plan end time, target component vector, temperature requirement value, casting speed curve, and current progress status; the current progress status includes: pending, in progress, completed, and abnormal status.

[0014] In some embodiments, the control module is further configured to: Determine the tapping time of molten steel corresponding to each process in the initial timetable; If the difference between the tapping time of the molten steel and the planned tapping time of the molten steel is greater than a preset time threshold, then the start time of the process plan for the corresponding process in the initial timetable or the process time of the corresponding process is adjusted so that the difference between the tapping time of the molten steel and the planned tapping time of the molten steel is less than or equal to the preset time threshold, and a target timetable is generated.

[0015] The second aspect of this application provides a method for managing an integrated steelmaking timetable, applied to an integrated steelmaking timetable management system as described in any one of the first aspects above, comprising: Acquire converter smelting data; the converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between target and initial temperatures; Based on the converter smelting data, a converter smelting time model is constructed; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data. Acquire ladle refining data; the ladle refining data includes: the heat required for the process, heating power, stirring time, and alloying time; Based on the ladle refining data, a refining processing time model is constructed; the refining processing time model is configured to determine the refining processing time based on the ladle refining data. Acquire continuous casting data; the continuous casting data includes: single furnace molten steel mass, molten steel density, billet cross-sectional area, and molten steel pouring speed; Based on the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data. Based on the converter smelting time model, refining treatment time model, and continuous casting time model, an initial timetable is generated; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time. Obtain the production plan; the production plan includes: the planned tapping time of molten steel; Based on the production plan, the initial timetable is adjusted to generate the target timetable.

[0016] This application provides an integrated steelmaking timetable management system and method. The system includes a monitoring module and a control module. The monitoring module is configured to: acquire converter smelting data; the converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between the target and initial temperatures; construct a converter smelting time model based on the converter smelting data; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data; acquire ladle refining data; the ladle refining data includes: required heating heat, heating power, stirring time, and alloying time; construct a refining treatment time model based on the ladle refining data; the refining treatment time model is configured to determine the refining treatment time based on the ladle refining data; and acquire continuous casting data; the continuous casting data includes: single-furnace molten steel quality, molten steel... Density, billet cross-sectional area, and molten steel pouring speed; based on the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data; the control module is configured to generate an initial timetable based on the converter smelting time model, refining treatment time model, and continuous casting time model; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time; obtain the production plan; the production plan includes the planned tapping time of molten steel; based on the production plan, adjust the initial timetable to generate a target timetable, so that the target timetable constructed through the integrated steelmaking timetable control system can deeply model the internal mechanism of the steelmaking process, and can achieve dynamic collaborative adjustment between multiple processes, thereby improving the timeliness of production time and the number of continuous casting furnaces and billet quality. Attached Figure Description

[0017] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the operation of the integrated steelmaking timetable control system in this application.

[0019] Explanation of reference numerals in the attached figures: 1-Monitoring module; 2-Control module. Detailed Implementation

[0020] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this application.

[0021] Because some technologies lack in-depth modeling of the inherent mechanisms of the steelmaking process, it is difficult to achieve dynamic and coordinated adjustments among multiple processes, resulting in insufficient scheduling accuracy and flexibility. To solve this technical problem, this application provides an integrated steelmaking timetable management system and method, which are described below: like Figure 1 The diagram shown is a flowchart of the operation of the integrated steelmaking timetable control system in this application.

[0022] The first aspect of this application provides an integrated steelmaking timetable management system, including: Monitoring module 1 and control module 2.

[0023] The monitoring module 1 is configured as follows: Acquire converter smelting data; the converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between target and initial temperatures; based on the converter smelting data, construct a converter smelting time model; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data; the converter smelting time model is responsible for converter smelting cycle prediction, steel tapping time planning, and coordination with upstream molten iron scheduling. The converter smelting time model is as follows: ; In the formula, For converter smelting time; The basic blowing time for molten steel; The target carbon content of molten steel; This represents the initial carbon content of the molten steel. The difference between the target and initial temperatures of the molten steel; and This is the preset process coefficient.

[0024] The converter smelting time model can be used to predict the process time for converter smelting.

[0025] Acquire ladle refining data; the ladle refining data includes: required heating heat, heating power, stirring time, and alloying time; based on the ladle refining data, construct a refining processing time model; the refining processing time model is configured to determine the refining processing time based on the ladle refining data; the refining processing time model is responsible for calculating the refining processing time, arranging the composition fine-tuning window, and matching the timing with the converter / continuous casting. The refining processing time model is as follows: ; In the formula, For refining processing time; The heat required for the process; This refers to the heating power. This refers to the stirring time; This refers to the alloying time.

[0026] The refining time model can be used to predict the process time for refining.

[0027] Acquire continuous casting data; the continuous casting data includes: single-furnace molten steel quality, molten steel density, billet cross-sectional area, and molten steel pouring speed; based on the continuous casting data, construct a continuous casting time model; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data; the continuous casting time model is responsible for casting rhythm control, casting speed setting, ladle / intermediate ladle time window planning, and seamless integration with refining.

[0028] Specifically, the monitoring module 1 is further configured as follows: Based on the steel pouring rate, a casting speed function is constructed; the casting speed function represents the change of the steel pouring rate with time during continuous casting; based on the casting speed function and the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is as follows: ; In the formula, For continuous casting time; For the quality of molten steel in a single furnace; Density of molten steel; This represents the cross-sectional area of ​​the cast billet. This is the pulling speed function.

[0029] The continuous casting time model can be used to predict the process time for continuous casting.

[0030] The control module 2 is configured as follows: Based on the converter smelting time model, refining treatment time model, and continuous casting time model, an initial timetable is generated; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time; wherein, the initial timetable is also used to display the process start time and process end time of each process.

[0031] Obtain the production plan; the production plan includes: the planned tapping time of molten steel.

[0032] An initial timetable is a preliminary production schedule arranged by a company before production planning, based on routine production processes and equipment operating parameters. However, due to numerous uncertainties in actual production and the potential differences in the specific requirements of different batches of production tasks, the initial timetable often needs to be adjusted based on the actual production plan to generate a target timetable that meets current production needs.

[0033] Based on the production plan, the initial timetable is adjusted to generate the target timetable. The initial timetable can be adjusted through the production plan. For example, if the production plan specifies that all processes should be completed at 8:00 AM, while the initial timetable specifies 8:10 AM, then the initial timetable needs to be adjusted to complete the corresponding production plan. This could be done by advancing the start time of the process or shortening the process time.

[0034] This application provides an integrated steelmaking timetable management system. By constructing converter smelting time models, refining processing time models, and continuous casting time models, and deeply integrating the time control mechanism models of each steelmaking process, it can realize the dynamic generation, real-time monitoring and disturbance response of the entire process timetable, and support high-precision and high-robust just-in-time production.

[0035] In this embodiment, the control module 2 is configured as follows: Based on the aforementioned casting speed function, the steel pouring acceleration is determined; the steel pouring acceleration is: a= ; Determine the preset maximum time for molten steel pouring, the preset minimum time for molten steel pouring, and the preset maximum acceleration for molten steel pouring, such that the molten steel pouring speed is between the preset minimum time for molten steel pouring and the preset maximum time for molten steel pouring, and that the molten steel pouring acceleration is less than or equal to the preset maximum acceleration for molten steel pouring.

[0036] It is worth noting that the steel pouring process has set minimum and maximum pouring times. If the pouring time is too long, the molten steel will solidify and the process flow will be disrupted; if the pouring time is too short, steel leakage will occur, resulting in insufficient molten steel volume to meet production requirements. Because molten steel has extremely high temperatures (typically above 1500℃) and fluidity, excessive pouring acceleration will generate significant impact during pouring, easily causing molten steel splashing. Splashed molten steel can cause severe burns to on-site workers and may also trigger fires and other safety accidents, posing a significant threat to the safety of the production environment. Therefore, by ensuring that the molten steel pouring acceleration is less than or equal to the preset maximum pouring acceleration, the above problems are prevented.

[0037] In this embodiment, the control module 2 is further configured as follows: A first preset maximum buffer time is determined from the converter smelting process to the ladle refining process, and a second preset maximum buffer time is determined from the ladle refining process to the continuous casting process. The buffer time from the converter smelting process to the ladle refining process is less than or equal to the first preset maximum buffer time, and the buffer time from the ladle refining process to the continuous casting process is less than or equal to the second preset maximum buffer time. By setting these buffer times, excessive waiting time between processes is prevented, thereby improving the steelmaking efficiency and productivity on the one hand, and preventing excessive temperature drop in molten steel, which could cause the molten steel to fall below the required refining temperature and disrupt the normal process flow on the other.

[0038] In this embodiment, the control module 2 is further configured as follows: The preset maximum converter smelting process time, the preset maximum ladle refining process time, and the preset maximum continuous casting process time are determined, such that the converter smelting process time and the buffer time from the converter smelting process to the ladle refining process are less than or equal to the preset maximum converter smelting process time, the ladle refining process time, and the buffer time from the ladle refining process to the continuous casting process time, and the continuous casting process time is less than or equal to the preset maximum continuous casting process time.

[0039] Specifically, by clearly defining the maximum time limits for each process, it is possible to prevent subsequent processes from experiencing prolonged waiting times due to excessive processing time in one step. For example, if the converter smelting time exceeds the preset maximum value, the ladle refining process will have to wait for molten steel, resulting in idle equipment and human resources. By rationally setting and controlling the time, close coordination between processes can be achieved, improving equipment utilization and production efficiency.

[0040] In this embodiment, the control module 2 is further configured as follows: The target timetable is sent to a display device for display; the target timetable includes: steel grade identification. Process planning start time Process plan end time Target component vector Temperature requirement value Pulling speed curve The current progress status includes: pending, in progress, completed, and abnormal. Various parameters in the process are displayed on the plant-wide scheduling dashboard to guide operators and the automatic control system.

[0041] In this embodiment, the control module 2 is further configured as follows: The initial timetable is used to determine the tapping time of molten steel for each process. If the difference between the tapping time and the planned tapping time is greater than a preset time threshold, the start time of the corresponding process plan or the process time is adjusted to make the difference between the tapping time and the planned tapping time less than or equal to the preset time threshold, thus generating a target timetable. When the system detects a disturbance (such as converter delay or continuous casting interruption), a local rescheduling is triggered: affected models (converter smelting time model, refining time model, and continuous casting time model) initiate negotiation, and neighboring models dynamically adjust their timetable entries to minimize the overall offset.

[0042] This application discloses an integrated steelmaking timetable control system, which has the following beneficial effects: (1) Deep integration of steelmaking mechanism: Thermodynamics, kinetics and time control formulas are embedded into the decision logic of the model (converter smelting time model, refining treatment time model, continuous casting casting time model) to ensure the physical feasibility of the scheduling scheme.

[0043] (2) Achieve a true JIT timetable: Define the time nodes of the entire process of each furnace of molten steel with minute-level precision, laying the foundation for just-in-time production.

[0044] (3) High robustness of disturbance response: The multi-model distributed architecture supports local fast rescheduling to avoid global plan collapse.

[0045] (4) Improve production capacity and quality stability: reduce the waiting time for molten steel, reduce temperature drop and composition fluctuation, and increase the number of continuous casting furnaces and the quality of billets.

[0046] (5) Support human-machine collaboration: The timetable visualization interface facilitates human intervention and experience integration, enhancing the system's practicality.

[0047] A second aspect of this application provides a method for managing an integrated steelmaking timetable, applied to an integrated steelmaking timetable management system described in any of the above embodiments, comprising: Acquire converter smelting data; the converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between target and initial temperatures; Based on the converter smelting data, a converter smelting time model is constructed; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data. Acquire ladle refining data; the ladle refining data includes: the heat required for the process, heating power, stirring time, and alloying time; Based on the ladle refining data, a refining processing time model is constructed; the refining processing time model is configured to determine the refining processing time based on the ladle refining data. Acquire continuous casting data; the continuous casting data includes: single furnace molten steel mass, molten steel density, billet cross-sectional area, and molten steel pouring speed; Based on the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data. Based on the converter smelting time model, refining treatment time model, and continuous casting time model, an initial timetable is generated; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time. Obtain the production plan; the production plan includes: the planned tapping time of molten steel; Based on the production plan, the initial timetable is adjusted to generate the target timetable.

[0048] It is worth noting that the effects of the above method embodiments can be found in the effects of the above system embodiments, and will not be repeated here.

[0049] The above detailed embodiments further illustrate the purpose, technical solution, and beneficial effects of the embodiments of this application. It should be understood that the above are merely specific embodiments of the embodiments of this application and are not intended to limit the protection scope of the embodiments of this application. Any modifications, equivalent substitutions, improvements, etc., made on the basis of the technical solutions of the embodiments of this application should be included within the protection scope of the embodiments of this application.

Claims

1. A steelmaking integrated timetable control system, characterized in that, include: Monitoring module (1) and control module (2); The monitoring module (1) is configured as follows: Acquire converter smelting data; the converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between target and initial temperatures; Based on the converter smelting data, a converter smelting time model is constructed; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data. Acquire ladle refining data; the ladle refining data includes: the heat required for the process, heating power, stirring time, and alloying time; Based on the ladle refining data, a refining processing time model is constructed; the refining processing time model is configured to determine the refining processing time based on the ladle refining data. Acquire continuous casting data; the continuous casting data includes: single furnace molten steel mass, molten steel density, billet cross-sectional area, and molten steel pouring speed; Based on the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data. The control module (2) is configured as follows: Based on the converter smelting time model, refining treatment time model, and continuous casting time model, an initial timetable is generated; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time. Obtain the production plan; the production plan includes: the planned tapping time of molten steel; Based on the production plan, the initial timetable is adjusted to generate the target timetable.

2. The integrated steelmaking timetable control system according to claim 1, characterized in that, The converter smelting time model is as follows: ； In the formula, For converter smelting time; The basic blowing time for molten steel; The target carbon content of molten steel; This represents the initial carbon content of the molten steel. The difference between the target and initial temperatures of the molten steel; and This is the preset process coefficient.

3. The integrated steelmaking timetable control system according to claim 1, characterized in that, The refining processing time model is as follows: ； In the formula, For refining processing time; The heat required for the process; This refers to the heating power. This refers to the stirring time; This refers to the alloying time.

4. The integrated steelmaking timetable control system according to claim 1, characterized in that, The monitoring module (1) is further configured as follows: Based on the steel pouring speed, a casting speed function is constructed; the casting speed function is characterized as a function of the steel pouring speed changing with time during continuous casting. Based on the casting speed function and the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is as follows: ； In the formula, For continuous casting time; For the quality of molten steel in a single furnace; Density of molten steel; This represents the cross-sectional area of ​​the cast billet. This is the pulling speed function.

5. The integrated steelmaking timetable control system according to claim 4, characterized in that, The control module (2) is configured as follows: Based on the aforementioned casting speed function, the acceleration of molten steel pouring is determined; Determine the preset maximum time for molten steel pouring, the preset minimum time for molten steel pouring, and the preset maximum acceleration for molten steel pouring, such that the molten steel pouring speed is between the preset minimum time for molten steel pouring and the preset maximum time for molten steel pouring, and that the molten steel pouring acceleration is less than or equal to the preset maximum acceleration for molten steel pouring.

6. The integrated steelmaking timetable control system according to claim 1, characterized in that, The control module (2) is also configured to: A first preset maximum buffer time from the converter smelting process to the ladle refining process, and a second preset maximum buffer time from the ladle refining process to the continuous casting process are determined, such that the buffer time from the converter smelting process to the ladle refining process is less than or equal to the first preset maximum buffer time, and the buffer time from the ladle refining process to the continuous casting process is less than or equal to the second preset maximum buffer time.

7. The integrated steelmaking timetable control system according to claim 1, characterized in that, The control module (2) is also configured to: The preset maximum converter smelting process time, the preset maximum ladle refining process time, and the preset maximum continuous casting process time are determined, such that the converter smelting process time and the buffer time from the converter smelting process to the ladle refining process are less than or equal to the preset maximum converter smelting process time, the ladle refining process time, and the buffer time from the ladle refining process to the continuous casting process time, and the continuous casting process time is less than or equal to the preset maximum continuous casting process time.

8. The integrated steelmaking timetable control system according to claim 1, characterized in that, The control module (2) is also configured to: The target timetable is sent to the display device for display; the target timetable includes: steel grade identifier, process plan start time, process plan end time, target component vector, temperature requirement value, casting speed curve, and current progress status; the current progress status includes: pending, in progress, completed, and abnormal status.

9. The integrated steelmaking timetable control system according to claim 1, characterized in that, The control module (2) is further configured as follows: Determine the tapping time of molten steel corresponding to each process in the initial timetable; If the difference between the tapping time of the molten steel and the planned tapping time of the molten steel is greater than a preset time threshold, then the start time of the process plan for the corresponding process in the initial timetable or the process time of the corresponding process is adjusted so that the difference between the tapping time of the molten steel and the planned tapping time of the molten steel is less than or equal to the preset time threshold, and a target timetable is generated.

10. A method for managing an integrated steelmaking timetable, applied to an integrated steelmaking timetable management system as described in any one of claims 1 to 9, characterized in that, include: Obtain converter smelting data; The converter smelting data includes: basic blowing time of molten steel, initial carbon content, target carbon content, and the difference between target and initial temperatures; Based on the converter smelting data, a converter smelting time model is constructed; the converter smelting time model is configured to determine the converter smelting time based on the converter smelting data. Acquire ladle refining data; the ladle refining data includes: the heat required for the process, heating power, stirring time, and alloying time; Based on the ladle refining data, a refining processing time model is constructed; the refining processing time model is configured to determine the refining processing time based on the ladle refining data. Acquire continuous casting data; the continuous casting data includes: single furnace molten steel mass, molten steel density, billet cross-sectional area, and molten steel pouring speed; Based on the continuous casting data, a continuous casting time model is constructed; the continuous casting time model is configured to determine the continuous casting time based on the continuous casting data. Based on the converter smelting time model, refining treatment time model, and continuous casting time model, an initial timetable is generated; the initial timetable is used to display the converter smelting time, refining treatment time, and continuous casting time. Obtain the production plan; the production plan includes: the planned tapping time of molten steel; Based on the production plan, the initial timetable is adjusted to generate the target timetable.

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