A ladle turnover optimization method based on steelmaking logistics simulation

Abstract

The application discloses a ladle turnover optimization method and system based on steelmaking logistics simulation and a storage medium, and belongs to the technical field of iron and steel metallurgy. Steelmaking production plan data and process parameter data are acquired, and a steelmaking workshop logistics simulation model including main processes, auxiliary processes and transportation processes is established. The turnover process of the ladle between processes is tracked and recorded, the ladle number, entering time, leaving time, residence time and state information are acquired, and a ladle turnover Gantt chart is generated. Based on the ladle turnover Gantt chart, the residence time, waiting time and turnover frequency of the ladle in each process are statistically analyzed, abnormal turnover data and abnormal turnover links are identified, the online configuration quantity of the ladle and the turnover organization scheme are adjusted according to the analysis result, and the optimized ladle configuration scheme is determined through simulation verification. The ladle turnover process is visualized, analyzed and optimized, the utilization rate and turnover efficiency of the ladle are improved, the waiting time of the ladle is reduced, and the collaborative efficiency of the steelmaking production organization is improved.

Description

Technical Field

[0001] This invention belongs to the field of iron and steel metallurgy technology and relates to a ladle turnover optimization method based on steelmaking logistics simulation. Specifically, it involves technologies such as steelmaking production logistics modeling, ladle operation status tracking, discrete event simulation analysis, and ladle scheduling optimization control. By constructing a steelmaking logistics simulation model, the ladle turnover process is predicted and analyzed, and an optimized ladle scheduling scheme is generated. Background Technology

[0002] The steel ladle is the core carrier for storing, transferring, and refining molten steel in the entire steelmaking process. It connects key processes such as converter, refining, and continuous casting, and its turnover efficiency directly affects production smoothness, energy consumption, and billet quality. Modern plate steel plants have many pieces of equipment and a dispersed layout, with 26-32 ladles used daily. The complex processes make it difficult to achieve efficient and coordinated turnover.

[0003] In recent years, with the widespread application of digital and intelligent technologies in the steel industry, companies such as Baosteel, Tangsteel, and Shougang Jingtang have successively built integrated intelligent management systems for steel ladles or intelligent scheduling systems for steel ladles. These systems have achieved unified management and intelligent scheduling of steel ladle information, resulting in significant improvements in turnover efficiency and energy consumption reduction. However, many steel companies still rely on manual experience for steel ladle turnover scheduling. In complex production environments with numerous pieces of equipment and large steel ladle usage, schedulers need to combine experience to coordinate various information such as ladle location, equipment status, and steel type requirements, and arrange turnover plans through traditional communication methods. This scheduling model has the following problems: First, multi-process coordination is difficult, making it hard to achieve precise connection between each link, easily leading to ladle backlog or insufficient supply; second, scheduling results are greatly affected by personal experience, resulting in unstable ladle matching accuracy; third, information transmission is delayed and prone to errors, which not only increases the workload of schedulers but may also trigger a chain reaction in production, hindering further improvements in production efficiency. Therefore, even for companies that have established ladle management systems, their management functions are mainly focused on ladle information recording, status tracking, and scheduling management. There are still certain limitations in analyzing the overall operating rules of the ladle turnover process under complex production conditions and optimizing the turnover plan.

[0004] Inefficient ladle turnover can lead to a host of problems: ladle stagnation causes molten steel to cool down, requiring additional heating, increasing energy consumption and affecting steel quality; cold turnover shortens ladle life and increases refractory material costs; and related auxiliary work requires coordination with cranes, with improper scheduling easily leading to supply-demand mismatches, further exacerbating production delays and cost increases. Therefore, how to achieve rational allocation and efficient turnover of ladle resources while ensuring smooth steelmaking production has become a key issue that needs to be addressed in the organization of steelmaking production.

[0005] As the steel industry moves towards intelligent manufacturing, logistics simulation technology is increasingly being used in process optimization. However, there is a lack of specialized simulation optimization methods for ladle turnover. Current technology lacks a means to simulate and analyze the ladle turnover process and assist in optimization decisions by combining the ladle's operating status, process connections, and production organization requirements during steelmaking. Therefore, the development of a ladle turnover optimization method based on steelmaking logistics simulation is urgently needed to improve ladle turnover efficiency, reduce production operating costs, and enhance production collaboration capabilities—a pressing requirement for steel enterprises. Summary of the Invention

[0006] In view of this, the present invention aims to solve the problems existing in the current steel ladle turnover scheduling process, such as reliance on manual experience, low collaborative efficiency, insufficient utilization of steel ladle resources, and lack of effective simulation optimization methods. It provides a steel ladle turnover optimization method based on steelmaking logistics simulation to improve steel ladle turnover efficiency and the rationality of steel ladle resource allocation, reduce production and operating costs, and improve the efficiency of steelmaking production organization and collaborative management level.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A ladle turnover optimization method based on steelmaking logistics simulation includes: S1. Obtain steelmaking production plan data and process parameter data, and establish a steelmaking workshop logistics simulation model based on the steelmaking production plan data and process parameter data; S2, Run the steelmaking workshop logistics simulation model to simulate the turnover process of steel ladles in the main process, auxiliary process and transportation process; S3, during the operation of the steelmaking workshop logistics simulation model, record the turnover information of the ladle in each process and generate full-process turnover record data of the ladle; S4. Generate a ladle turnover Gantt chart based on the ladle full-process turnover record data; S5. Analyze the ladle turnover process based on the ladle turnover Gantt chart and identify abnormal turnover links; S6. Adjust the online configuration quantity of steel ladles and / or the steel ladle turnover organization scheme according to the abnormal turnover process, and perform simulation verification on the adjusted scheme to determine the optimal configuration scheme of steel ladles.

[0008] Furthermore, S1 includes: S11, Establish a main process simulation unit based on the main processes of the steelmaking workshop, wherein the main processes include converter, LF refining, RH refining and continuous casting; S12, establish an auxiliary process simulation unit based on the auxiliary processes in the steelmaking workshop, the auxiliary processes including casting residue, hot repair and offline baking; S13, Establish a transportation simulation unit based on the transportation process in the steelmaking workshop; S14, connect the main process simulation units, auxiliary process simulation units and transportation simulation units according to the steelmaking production process to form the steelmaking workshop logistics simulation model.

[0009] Furthermore, S1 also includes: S15, input at least one of the following parameters into the steelmaking workshop logistics simulation model: processing cycle parameters, transportation cycle parameters, equipment production cycle parameters, ladle occupancy time parameters, and production plan parameters, to drive the operation of the steelmaking workshop logistics simulation model.

[0010] Further, S2 includes: S21, the molten steel is sequentially entered into the corresponding main process according to the steelmaking production plan data; S22, In the main process, the molten steel object is simulated according to the corresponding process cycle; S23, based on the simulation processing results of the molten steel object, synchronously update the status of the ladle object associated with the molten steel object.

[0011] Furthermore, S2 also includes: S24 allows the ladle to proceed to the processes of pouring casting residue, hot repair, offline baking, or transportation after casting is completed. S25, perform simulation processing on the steel ladle according to the processing cycle of the corresponding auxiliary process or transportation process; S26, when the next process does not meet the conditions for receiving the ladle, the ladle is temporarily stored in the corresponding process until the transfer conditions are met and it enters the next process.

[0012] Further, S3 includes: S31, record the ladle number; S32, record the time when the ladle enters the process, the start time of processing, the end time of processing, and the time when it leaves the process; S33, calculate the process dwell time based on the process entry time and process exit time; S34, record ladle status information, the ladle status information includes at least one of steel-filled status, slag-dumping status and empty ladle status.

[0013] Furthermore, S4 includes: S41, with production running time as the horizontal axis; S42 uses the operational status of the steel ladle in different processes and transportation units as the vertical display object; S43, Generate the time segment of the corresponding process based on the time the ladle enters the process and the time it leaves the process; S44, Generate the ladle turnover Gantt chart according to the time segment.

[0014] Furthermore, S5 includes: S51, Statistically record the dwell time, waiting time, and turnover number of the ladle in each process; S52, determine the average processing time for each process; S53, compare the dwell time of a ladle in the target process with the average processing time of the target process; S54, when the dwell time is significantly higher than the average processing time, the corresponding ladle record is identified as abnormal turnover data; S55, Based on the process and ladle running trajectory corresponding to the abnormal turnover data, determine the abnormal turnover link.

[0015] A ladle turnover optimization system based on steelmaking logistics simulation includes: The simulation modeling module is used to acquire steelmaking production plan data and process parameter data, and to establish a steelmaking workshop logistics simulation model based on the steelmaking production plan data and process parameter data; The simulation operation module is used to run the steelmaking workshop logistics simulation model to simulate the turnover process of steel ladles in the main process, auxiliary process and transportation process; The time tracking and recording module is used to record the turnover information of the steel ladle in each process during the operation of the steelmaking workshop logistics simulation model, and generate full-process turnover record data of the steel ladle; The Gantt chart generation module is used to generate a ladle turnover Gantt chart based on the ladle full-process turnover record data; The data analysis module is used to analyze the ladle turnover process based on the ladle turnover Gantt chart and identify abnormal turnover links; The optimization and verification module is used to adjust the online configuration quantity of steel ladles and / or the steel ladle turnover organization scheme according to the abnormal turnover process, and to perform simulation verification on the adjusted scheme to determine the optimal configuration scheme of steel ladles.

[0016] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for optimizing ladle turnover based on steelmaking logistics simulation.

[0017] The beneficial effects of this invention are as follows: (1) This invention constructs a steelmaking workshop logistics simulation model to simulate the entire process of ladle turnover in converter, LF refining, RH refining, continuous casting, auxiliary processes and transportation processes. Compared with the traditional static calculation method based on experience or formula, it can intuitively reflect the operating status and process connection relationship of ladle turnover, obtain the ladle turnover quantity and configuration scheme that is closer to the actual production conditions, and improve the rationality and reliability of ladle configuration scheme.

[0018] (2) By establishing a full-process tracking mechanism for steel ladles, this invention enables full-process recording and traceability of the steel ladle flow between various processes. It can accurately obtain the steel ladle entry time, exit time, dwell time and status information, providing a complete data foundation for steel ladle turnover analysis and improving the visualization and traceability of the steel ladle operation process.

[0019] (3) By generating a steel ladle turnover Gantt chart, the present invention visualizes the operating status of the steel ladle in different processes and transportation links, and identifies abnormal turnover data and abnormal turnover links by combining indicators such as dwell time, waiting time and turnover times. It can quickly find the bottleneck process that affects the turnover efficiency of steel ladle and improve the analysis efficiency and accuracy of steel ladle turnover problems.

[0020] (4) Based on the analysis results of abnormal turnover links, this invention optimizes the online configuration quantity and turnover organization scheme of steel ladles, and verifies it through a logistics simulation model. Under the premise of meeting the steelmaking production plan and continuous casting requirements, it can determine a better steel ladle configuration scheme, reduce steel ladle waiting time and non-production dwell time, and improve steel ladle utilization and turnover efficiency.

[0021] (5) The present invention can perform simulation analysis and comparative verification of different ladle configuration schemes, provide decision-making basis for ladle resource allocation and production organization optimization, help improve the coordination level of steelmaking production organization, reduce production delays and resource waste caused by unreasonable ladle configuration, and thus improve the efficiency of steelmaking production operation.

[0022] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0023] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein: Figure 1 This is a schematic diagram of a ladle turnover optimization method based on steelmaking logistics simulation according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a steelmaking workshop logistics simulation model, which is an application example of an embodiment of the present invention. Figure 3 This is a Gantt chart illustrating the ladle turnover process in an embodiment of the present invention. Detailed Implementation

[0024] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0025] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0026] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0027] Please see Figure 1 This is a schematic diagram of a ladle turnover optimization method based on steelmaking logistics simulation according to an embodiment of the present invention; please refer to... Figure 2 This is a schematic diagram of a steelmaking workshop logistics simulation model, representing an application example of an embodiment of the present invention; please refer to [link / reference]. Figure 3 This is a Gantt chart of the ladle turnover process in an embodiment of the present invention.

[0028] Figure 3 This is a Gantt chart of a steel ladle used in an application case of this method. The horizontal axis represents the production run time, and the vertical axis represents the running status of the steel ladle in different processes and transportation units. Different time periods correspond to the stay or transportation process of the steel ladle in different processes.

[0029] EAF (Electric Arc Furnace) is an electric furnace; SA (Steel Transfer Car between Electric Arc Furnace Bay and Refining Bay) is the transfer car between the electric arc furnace bay and the refining bay. LF (Ladle Furnace) is a ladle refining furnace; RH (Ruhrstahl-Heraeus Degasser) is the RH vacuum circulation degassing and refining unit; CC (Continuous Casting) is the continuous casting process, which is divided into three stages: A, B, and C according to the casting process. SB (Steel Transfer Car for Loaded Ladles between Refining Bay and Receiving Bay) is a heavy ladle transport vehicle between the refining bay and the steel receiving bay. SC (Steel Transfer Car for Empty Ladles between Receiving Bay and Refining Bay) is a vehicle used for transporting empty ladles between the steel receiving bay and the refining bay. HR (Hot Repair Station) is a hot repair station; SD (Steel Transfer Car for Returning Empty Ladles between Refining Bay and Electric Arc Furnace Bay) is a car for returning empty ladles between the refining bay and the electric arc furnace bay.

[0030] A Gantt chart for steel ladles can visually display the operating status, dwell time, and turnover process of steel ladles in each process and transportation link, thus providing a basis for steel ladle turnover anomaly analysis and turnover plan optimization.

[0031] This embodiment proposes a ladle turnover optimization method based on steelmaking logistics simulation. First, a steelmaking logistics simulation model is established according to the actual production process of the steelmaking workshop, and the simulation model is driven to run based on the production plan, process parameters, and equipment operating status. During the simulation operation, the flow of the ladle between each process is tracked and recorded in its entirety. Then, the collected ladle operation data is statistically analyzed to identify abnormal flow links that affect the ladle turnover efficiency. Based on the analysis results, the online turnover quantity and turnover organization scheme of the ladle are optimized, thereby improving the ladle utilization rate and production coordination efficiency.

[0032] The steelmaking logistics simulation model established in this embodiment includes: Main process functional module For the main processes such as converter, LF (Ladle Furnace), RH (Ruhrstahl-Heraeus Degasser), and continuous casting, a functional module for simulating the logistics of the steelmaking workshop is designed. Each module can be set with corresponding actual process parameters to build a simulation model of the steelmaking workshop. The process parameters include at least one of the following: process processing time, equipment production cycle time, ladle occupancy time, and production plan parameters.

[0033] Auxiliary process function module Independent functional modules are designed for non-main process logistics such as casting residue, hot repair, offline baking, and cross-car transportation. The internal settings can be configured according to the actual processing cycle. The auxiliary process functional modules simulate the logistics flow of the ladle in the auxiliary operation links.

[0034] Steel Ladle Full-Process Tracking Module Within the main process and auxiliary process modules, a module is designed to record the time of ladle entry and exit from the process. During the simulated production operation, the ladle turnover information is recorded in real time. The recorded content includes ladle number, entry time, exit time, process dwell time, and turnover status information to form the ladle's full life cycle operation data.

[0035] Data Analysis Module The system summarizes ladle operation data during production, analyzes the flow of each ladle in each process, and outputs a ladle Gantt chart to highlight abnormal turnover data. Based on the ladle's dwell time, waiting time, and turnover cycle in each process, it identifies abnormal turnover situations that exceed preset time thresholds and analyzes key factors affecting ladle turnover efficiency in conjunction with the ladle's operating trajectory. Based on the analysis results, it adjusts the online configuration quantity of ladles and the turnover organization plan to reduce non-production waiting time of ladles in each process and improve ladle turnover efficiency.

[0036] The main process function module can perform process processing on the molten steel objects entering its module with periodic set values, and synchronously update the status of the ladle objects associated with the molten steel objects according to the processing results of the corresponding processes, so as to realize the dynamic change simulation of the ladle's flow status between different processes.

[0037] The auxiliary process module can perform process processing on slag ladles that have finished casting, empty ladles that have completed slag removal and need to be reheated, empty ladles that have completed heat repair and need to be baked offline, and empty ladles that have completed baking and are waiting to be tapped, for a given period of time. At the same time, if the next process does not have the conditions to receive empty ladles or does not need to supply empty ladles, the auxiliary process can temporarily store empty ladles for a certain period of time to reflect the actual operating status of steel ladle waiting, buffering and scheduling coordination in the actual production process.

[0038] The comprehensive ladle tracking system covers the ladle turnover process in the main processes—converter, LF, RH, and continuous casting—as well as the ladle turnover process in auxiliary processes—including slag removal, hot repair, offline baking, and transport via crosscar. This allows for full-process turnover tracking of three states during production: full ladle, ladle with slag removal, and empty ladle. During tracking, the system records the time the ladle enters and leaves each process, along with the corresponding process status, thus forming a comprehensive ladle turnover record.

[0039] The described ladle Gantt chart, based on end-to-end ladle turnover tracking, not only enables traceability of the corresponding ladle for each heat of molten steel's tapping, refining, casting, and transportation, but also allows for the tracking of the location and status information of each ladle at specific times. Furthermore, it can statistically analyze the turnover frequency of each ladle in a given production task. Moreover, it can visually display the ladle turnover process based on the ladle's dwell time in different processes and identify abnormal ladle delays or waiting situations.

[0040] The abnormal data in the data analysis module refers to ladle records in the ladle turnover Gantt chart where the processing time in a certain process is significantly higher than that of other heats in that process. By deeply analyzing the causes of such abnormal ladles, the system's process coordination rhythm and ladle turnover efficiency can be further optimized. Specifically, the ladle turnover process can be statistically analyzed based on the ladle's dwell time, waiting time, and turnover frequency in each process, and abnormal processes or abnormal turnover links affecting ladle turnover efficiency can be identified, providing a basis for optimizing the ladle turnover plan.

[0041] The main processes, auxiliary processes, and the entire ladle process tracking are all integrated into a steelmaking workshop simulation model. A customized steelmaking workshop can be quickly constructed through module calls and input of actual process parameters. By adjusting the process parameters and operating conditions corresponding to different process modules, steelmaking workshop logistics simulation models suitable for different steelmaking production organization modes can be built to simulate, analyze, and optimize the ladle turnover process.

[0042] This embodiment provides a preferred embodiment of a ladle turnover optimization method based on steelmaking logistics simulation, the method being configured as follows: Figure 1 As shown.

[0043] 1. Method Structure and Functional Modules The entire method includes a simulation modeling module, a time tracking and recording module, a simulation operation and analysis module, and an optimization and verification module.

[0044] Simulation modeling module A simulation model of a steelmaking workshop was built, including main process units such as the converter (BOF, Basic Oxygen Furnace), refining process (LF (Ladle Furnace) / RH (Ruhrstahl-Heraeus Degasser), and continuous casting machine, as well as auxiliary and transportation units such as the transfer car, slag dumping station, hot repair station, baking station, and overhead crane; the processing cycle parameters, transportation cycle parameters, and production plan data of each process unit were input to provide basic data for the operation of the simulation model.

[0045] Time tracking and recording module The design includes a ladle time recording function for the main process, auxiliary process, and transportation process. The main process tracks the entry time, start time, end time, and departure time of the heavy ladle; the auxiliary process and transportation process track the arrival time and departure time of the ladle, thus forming a complete time record data of the ladle's flow between each process.

[0046] Simulation Execution and Analysis Module Run a steelmaking workshop simulation model to simulate the ladle turnover process based on the imported production plan and output a ladle scheduling Gantt chart. Combine the production plan and the ladle scheduling Gantt chart to perform statistical analysis on the ladle's dwell time, waiting time and turnover status in each process, identify abnormal turnover data and abnormal links affecting ladle turnover efficiency, and carry out ladle turnover optimization analysis.

[0047] Optimize the verification module Based on the ladle turnover situation reflected in the ladle scheduling Gantt chart and the production needs of continuous casting, the number of ladles configured online is adjusted. After the adjustment, the steelmaking workshop simulation model is rerun to verify the adjustment plan and compare the ladle turnover efficiency under different plans, thereby determining the optimal ladle configuration plan and the corresponding optimal number of ladles.

[0048] 2. Workflow Step 1: Simulation Model Construction A simulation model of the steelmaking workshop was built, and simulation units for each main process, auxiliary process, and transportation process were constructed. Processing cycle parameters and transportation cycle parameters for each unit were input, and production plan data was imported to construct a steelmaking workshop logistics simulation model that corresponds to the actual steelmaking production process.

[0049] Step 2: Design of Time Recording Function The design incorporates ladle time recording functions for each main process, auxiliary process, and transportation process, enabling real-time tracking and recording of the entire ladle process. It records the ladle's entry time into the process, start processing time, end processing time, and departure time from the process, forming a complete ladle turnover record data.

[0050] Step 3: Simulation Run and Gantt Chart Generation Run the steelmaking workshop simulation model, simulate the turnover process of steel ladles between various processes according to the imported production plan, and output the corresponding steel ladle scheduling Gantt chart to reflect the position status and time distribution of steel ladles in the production process.

[0051] Step 4 Production and Turnover Analysis Based on the production plan and the Gantt chart of ladle scheduling, we statistically analyze the dwell time, waiting time and turnover of ladles in each process, identify abnormal turnover data with processing time significantly higher than the average level, and analyze abnormal processes or abnormal turnover links that affect ladle turnover efficiency, and carry out process optimization analysis.

[0052] Step 5: Optimize Turnover Quantity By combining the continuous casting and pouring situation with the ladle turnover Gantt chart, the number of ladles configured online is adjusted according to the ladle turnover analysis results, and the adjusted ladle turnover scheme is simulated to obtain the corresponding ladle turnover results.

[0053] Step 6: Optimization Scheme Verification The production operation of the steelmaking workshop was simulated to verify the optimization scheme and the optimal number of ladles. The changes in ladle turnover efficiency, ladle waiting time and ladle configuration before and after optimization were compared. Based on the verification results, the final ladle turnover optimization strategy was determined.

[0054] Compared with the prior art, the present invention has the following beneficial effects: Compared to the traditional method of calculating ladle turnover using formulas during the design or renovation phase (which typically uses the most probable value for static estimation, and the results are difficult to reflect the dynamic changes between processes in actual production), this invention constructs a logistics simulation model of the steelmaking workshop to visually simulate the turnover process of ladles in the main, auxiliary, and transportation processes. This model can intuitively reflect the operating status and process connection during the ladle turnover process, obtaining a ladle turnover quantity and configuration scheme that is closer to the actual production conditions, thereby reducing the calculation deviation caused by the simplification assumptions of the traditional formula method.

[0055] Compared to the limitations of formula-based methods, which struggle to effectively account for dynamic interference factors such as equipment failures, steel grade changes, and rhythm fluctuations, this invention introduces logistics simulation technology. This allows for the simulation of different operating conditions and rhythm changes during the ladle turnover process in the workshop within a simulation model. Consequently, the adaptability of ladle turnover schemes under different operating conditions can be evaluated, providing data support for ladle configuration and scheduling optimization.

[0056] This invention integrates ladle turnover data from the entire steelmaking process, enabling the recording and analysis of ladle operating status, process dwell time, and turnover process, providing data support for turnover plan adjustments. At the same time, by optimizing the number of ladles and the rhythm of process connections, it can reduce production delays and additional resource consumption caused by ladle waiting or poor turnover.

[0057] This invention, through full-process tracking of steel ladles, Gantt chart display of steel ladles, and analysis of abnormal turnover data, can intuitively display the operating status, dwell time, and turnover of steel ladles in each process, making it easier to identify abnormal links that affect the turnover efficiency of steel ladles and improve the efficiency of steel ladle turnover management.

[0058] This invention presents the ladle turnover process in a steelmaking workshop using simulation models and Gantt charts. It can determine the optimal ladle turnover quantity and organization scheme while ensuring production plan execution, reducing waiting times caused by unreasonable ladle resource allocation and improving the collaborative efficiency of steelmaking production organization. It facilitates the comparison and verification of different ladle configuration schemes, thereby assisting steel companies in optimizing ladle resource allocation, controlling production operating costs, and improving the collaborative management level of the steelmaking process.

[0059] In the above embodiments, although the invention has been described in conjunction with specific embodiments thereof, many substitutions, modifications, and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory structures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed. The embodiments of the invention are intended to cover all such substitutions, modifications, and variations falling within the broad scope of the appended claims.

[0060] As will be understood by those skilled in the art, the computer-readable storage medium described in this embodiment allows for the implementation of all or part of the steps in the above method embodiments by computer program-related hardware. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0061] The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication between them. The memory is used to store computer programs, the communication interface is used to perform communication, and the processor and the transceiver are used to run the computer programs, so that the electronic terminal performs the steps of the above method.

[0062] In this embodiment, the memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device.

[0063] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0064] This invention can be used in a wide range of general-purpose or special-purpose computing system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices, etc.

[0065] This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing ladle turnover based on steelmaking logistics simulation, characterized in that, include: S1. Obtain steelmaking production plan data and process parameter data, and establish a steelmaking workshop logistics simulation model based on the steelmaking production plan data and process parameter data; S2, Run the steelmaking workshop logistics simulation model to simulate the turnover process of steel ladles in the main process, auxiliary process and transportation process; S3, during the operation of the steelmaking workshop logistics simulation model, record the turnover information of the ladle in each process and generate full-process turnover record data of the ladle; S4. Generate a ladle turnover Gantt chart based on the ladle full-process turnover record data; S5. Analyze the ladle turnover process based on the ladle turnover Gantt chart to identify abnormal turnover links; S6. Adjust the online configuration quantity of steel ladles and / or the steel ladle turnover organization scheme according to the abnormal turnover process, and perform simulation verification on the adjusted scheme to determine the optimal configuration scheme of steel ladles.

2. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S1 includes: S11, Establish a main process simulation unit based on the main processes of the steelmaking workshop, wherein the main processes include converter, LF refining, RH refining and continuous casting; S12, establish an auxiliary process simulation unit based on the auxiliary processes in the steelmaking workshop, the auxiliary processes including casting residue, hot repair and offline baking; S13, Establish a transportation simulation unit based on the transportation process in the steelmaking workshop; S14, connect the main process simulation units, auxiliary process simulation units and transportation simulation units according to the steelmaking production process to form the steelmaking workshop logistics simulation model.

3. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S1 further includes: S15, input at least one of the following parameters into the steelmaking workshop logistics simulation model: processing cycle parameters, transportation cycle parameters, equipment production cycle parameters, ladle occupancy time parameters, and production plan parameters, to drive the operation of the steelmaking workshop logistics simulation model.

4. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S2 includes: S21, the molten steel is sequentially entered into the corresponding main process according to the steelmaking production plan data; S22, In the main process, the molten steel object is simulated according to the corresponding process cycle; S23, based on the simulation processing results of the molten steel object, synchronously update the status of the ladle object associated with the molten steel object.

5. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S2 further includes: S24 allows the ladle to proceed to the processes of pouring casting residue, hot repair, offline baking, or transportation after casting is completed. S25, perform simulation processing on the steel ladle according to the processing cycle of the corresponding auxiliary process or transportation process; S26, when the next process does not meet the conditions for receiving the ladle, the ladle is temporarily stored in the corresponding process until the transfer conditions are met and it enters the next process.

6. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S3 includes: S31, record the ladle number; S32, record the time when the ladle enters the process, the start time of processing, the end time of processing, and the time when it leaves the process; S33, calculate the process dwell time based on the process entry time and process exit time; S34, record ladle status information, the ladle status information includes at least one of steel-filled status, slag-dumping status and empty ladle status.

7. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S4 includes: S41, with production running time as the horizontal axis; S42 uses the operational status of the steel ladle in different processes and transportation units as the vertical display object; S43, generate the time segment of the corresponding process based on the time the ladle enters the process and the time it leaves the process; S44, Generate the ladle turnover Gantt chart according to the time segment.

8. The ladle turnover optimization method based on steelmaking logistics simulation according to claim 1, characterized in that: S5 includes: S51, Statistically record the dwell time, waiting time, and turnover number of the ladle in each process; S52, determine the average processing time for each process; S53, compare the dwell time of a ladle in the target process with the average processing time of the target process; S54, when the dwell time is significantly higher than the average processing time, the corresponding ladle record is identified as abnormal turnover data; S55, Based on the process and ladle running trajectory corresponding to the abnormal turnover data, determine the abnormal turnover link.

9. A ladle turnover optimization system based on steelmaking logistics simulation, characterized in that, include: The simulation modeling module is used to acquire steelmaking production plan data and process parameter data, and to establish a steelmaking workshop logistics simulation model based on the steelmaking production plan data and process parameter data; The simulation operation module is used to run the steelmaking workshop logistics simulation model to simulate the turnover process of steel ladles in the main process, auxiliary process and transportation process; The time tracking and recording module is used to record the turnover information of the steel ladle in each process during the operation of the steelmaking workshop logistics simulation model, and generate full-process turnover record data of the steel ladle; The Gantt chart generation module is used to generate a ladle turnover Gantt chart based on the ladle full-process turnover record data; The data analysis module is used to analyze the ladle turnover process based on the ladle turnover Gantt chart and identify abnormal turnover links; The optimization and verification module is used to adjust the online configuration quantity of steel ladles and / or the steel ladle turnover organization scheme according to the abnormal turnover process, and to perform simulation verification on the adjusted scheme to determine the optimal configuration scheme of steel ladles.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steel ladle turnover optimization method based on steelmaking logistics simulation as described in any one of claims 1 to 8.

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