A steel enterprise plate production line casting and rolling dynamic gantt chart system and adjustment method

Abstract

The present application relates to a kind of steel enterprise plate production line casting and rolling dynamic Gantt chart system and adjusting method, belong to the technical field of scheduling.System includes data acquisition module, for collecting pre-production and in-production data;Casting and rolling dynamic simulation module is input with pre-production data, combined with process rules;The flow between the continuous casting machine of plate production line and hot rolling section is deduced and simulated;At the same time, according to in-production data, dynamic adjustment is carried out;Slab temperature prediction module realizes the prediction of the temperature change of slab from continuous casting cutting to the whole process before entering the furnace by building a set of temperature field prediction model integrating heat transfer mechanism;Crown block scheduling module is used to execute the command of casting and rolling dynamic simulation module and slab temperature prediction module;Casting and rolling dynamic Gantt chart is used to show the result of casting and rolling dynamic simulation module and slab temperature prediction module.

Description

Technical Field

[0001] This invention relates to the field of planning and scheduling technology, and in particular to a dynamic Gantt chart system and adjustment method for plate production lines in steel enterprises. Background Technology

[0002] Currently, steel plate production lines in steel enterprises use traditional manual scheduling methods. The entry and exit of slabs are based on basic rules and experience, and cannot be comprehensively optimized from a global perspective according to the requirements and rhythm matching of the rolling unit. This often results in slabs being stacked twice or multiple times, which prolongs the slab residence time in the warehouse, increases the workload of overhead cranes, and affects the efficiency of slabs entering the line and the furnace temperature.

[0003] Furthermore, the current lack of a dynamic Gantt chart system for casting and rolling prevents the integration of logistics information from heat to slab, and makes it impossible to visually display the matching relationship between continuous casting cycles and hot rolling processes. The production data from continuous casting, heating furnaces, and rolling lines lack data fusion and integration, making it difficult to effectively integrate and share data between different processes. This hinders the information integration, rhythm prediction, and dynamic adjustment functions of the dynamic Gantt chart for casting and rolling, and prevents the achievement of the scheduling goal of unified command. Consequently, the hot charging temperature of the slab is lower, affecting the hot charging rate and wasting resources.

[0004] Therefore, there is an urgent need for a dynamic Gantt chart system for casting and rolling to achieve the scheduling goal of describing and directing the casting and rolling connection and matching situation on a single chart, and to improve the hot delivery temperature and hot charging rate of slabs. Summary of the Invention

[0005] Based on the above analysis, the present invention aims to provide a dynamic Gantt chart system and adjustment method for casting and rolling in steel plate production lines, so as to achieve the scheduling goal of describing and directing the casting and rolling connection and matching situation with a single chart, and to improve the hot delivery temperature and hot charging rate of slabs.

[0006] On the one hand, the present invention provides a dynamic Gantt chart system for casting and rolling of steel plate production lines, the system including a data acquisition module, a casting and rolling dynamic simulation module, a slab temperature prediction module, an overhead crane scheduling module, and a casting and rolling dynamic Gantt chart;

[0007] The data acquisition module is used to collect data before and during production. The casting and rolling dynamic simulation module takes pre-production data as input and combines it with process rules to extrapolate and simulate the process from the continuous casting machine to the hot rolling section of the plate production line; at the same time, it makes dynamic adjustments based on production data. The slab temperature prediction module constructs a temperature field prediction model that integrates heat transfer mechanisms to predict the temperature changes of the slab throughout the entire process from continuous casting cutting to before it enters the furnace. The overhead crane scheduling module is used to execute commands from the casting and rolling dynamic simulation module and the slab temperature prediction module; The casting and rolling dynamic Gantt chart is used to display the results of the casting and rolling dynamic simulation module and the slab temperature prediction module.

[0008] Furthermore, the data acquisition module includes a front-end data acquisition module and a back-end data acquisition module; The front-end data acquisition module is used to collect casting schedules, furnace schedules, cutting schedules, and rolling schedules; The backend data acquisition module is used to collect production performance, logistics performance, and overhead crane tracking data.

[0009] Furthermore, the production performance includes continuous casting performance, heating furnace performance, and rolling mill performance; The logistics data includes information on the movement of slabs at the roller conveyor, stacking table, and unloading table. The crane tracking includes the crane position, operation instructions, and operation status.

[0010] Furthermore, the continuous casting performance includes the actual start time of casting, the actual end time of casting, the billet pulling speed, and the cutting length / time; The actual performance of the heating furnace includes the actual time of slab entering the furnace, the actual time of slab exiting the furnace, and the actual temperature of each section of the furnace. The rolling mill performance includes the rolling rhythm, actual rolling specifications, and equipment operating status for each slab.

[0011] Furthermore, the following matching rules apply between the casting schedule and the rolling schedule: 1) The difference between the planned output time of the casting and the planned material demand time of the rolling process should satisfy the roller conveyor transport time or the inventory waiting time. 2) Steel grade matching: The steel grade of the incoming steel must be strictly matched according to the steel grade data of the casting batch and the rolling plan order requirements, or high-grade steel grade must be supplied at a lower price. 3) Width matching is based on the minimum width of the rolling plan order information ≤ the narrow width of the material in the casting ≤ the maximum width of the rolling plan order information; 4) Weight matching: The minimum weight of the material to be fed according to the rolling plan order information shall be less than or equal to the maximum weight of the material to be fed according to the rolling plan order information. 5) A successful match is achieved only if the steel type, width, and weight all meet the requirements.

[0012] Furthermore, when the casting schedule fails to match the rolling schedule or the waiting time is too long and warehousing is required, the stacking process rules for the slabs should be considered, specifically: 1) Select a storage location within the designated area; based on the area division of the slab warehouse, select a suitable area for storing the types of slabs that need to be stored. 2) Slabs of the same steel grade and specification should be stacked together; 3) Stack slabs according to the rolling plan; when stacking similar slabs, select the same storage area and stack them according to the order of their departure time. When there are multiple slabs to be stacked, place the slabs that left the warehouse earlier on the upper layer and the slabs that left the warehouse later on the lower layer. 4) When stacking slabs, follow the principle that the upper layer of slabs should be narrow and short, and the lower layer of slabs should be wide and long.

[0013] Furthermore, the process rules referenced during the slab conveying process include: 1) Planning Priority: Strictly follow the order required by the rolling plan for conveying materials; 2) Temperature priority: When two slabs are conveyed on the roller conveyor at the same time, the slab with higher temperature or urgent need for conveying is given priority; 3) Make reasonable use of physical paths such as warehouse areas and stacking platforms to adjust the order of slabs on the transport roller conveyor; 4) When a slab is found to have quality problems or does not meet rolling requirements, it should be removed from the overhead crane line first to avoid affecting the roller conveyor rhythm; 5) If the rolling mill suddenly stops, the feeding of slabs to the rolling line should be stopped immediately, and the slabs already in transit should be guided to the heating furnace or returned to the roller table for heat preservation and re-queuing.

[0014] Furthermore, finite element temperature field calculations were performed on the conveying process of the cast-rolled interface slab. The basic form of the heat conduction equation is as follows:

[0015]

[0016]

[0017] In the formula: -density, -Specific heat capacity, - Velocity field, T - Temperature - Thermal conductivity, - Internal heat source per unit volume.

[0018] Furthermore, the cooling rate of the slab at different locations; in accordance with the roller conveyor...

[0019] At the top level of the storage location, according to

[0020] In the middle layer of the storage location, according to

[0021] At the bottom of the storage location, according to

[0022] Where: y is the cooling rate, ℃ / h; x is the time, h; e is a constant, 2.71828.

[0023] On the other hand, the present invention provides a method for dynamic adjustment of casting and rolling in a steel plate production line, characterized in that it is implemented using the system described in the present invention, which includes: Collect data before and during production; Using pre-production data as input and combining process rules, the process flow from the continuous casting machine to the hot rolling section of the plate production line is deduced and simulated; at the same time, dynamic adjustments are made based on production data. At the same time, a temperature field prediction model integrating heat transfer mechanism is constructed to predict the temperature change of slab throughout the entire process from continuous casting cutting to before entering the furnace. Finally, the overhead crane was deployed.

[0024] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects: 1. The dynamic Gantt chart system for plate production line casting and rolling of this invention realizes a transformation in scheduling mode from "passive response" to "proactive foresight," significantly improving production coordination and efficiency. Through the casting and rolling dynamic simulation module and the slab temperature prediction module, a prediction system covering the production rhythm of each process from continuous casting to hot rolling is constructed. The system not only displays current production performance but also, based on the current status and plan, performs high-precision prediction and simulation of the production rhythm, logistics matching relationships, and slab temperature changes for the next tens of minutes or even several hours. This has resulted in an increase in the average monthly hot charging temperature of all steel grades from 425℃ to 567℃, and an increase in the hot charging rate from 56.1% to 72.3%.

[0025] 2. The casting and rolling dynamic Gantt chart system of the present invention connects and deeply integrates multi-source heterogeneous data. It seamlessly integrates system data such as continuous casting, heating, rolling, logistics, and overhead crane through the data acquisition module, and presents them in a unified and integrated visual form through the interface display module.

[0026] 3. The casting and rolling dynamic Gantt chart system of this invention constructs a complete "perception-analysis-decision-execution" closed loop. Data acquisition is perception, simulation and prediction is analysis, interface display is decision support, and crane scheduling is automatic execution. In response to disturbances such as plan changes and equipment failures, the system can quickly initiate dynamic re-simulation and provide a visual comparison of adjustment schemes on the Gantt chart. This shortens the response time to emergencies, reduces the bias of human judgment, improves the flexibility, robustness, and intelligence level of the production system, and ensures smooth production.

[0027] In this invention, the above-described technical solutions can be combined with each other to achieve more preferred combinations. Other features and advantages of this invention will be set forth in the following description, and some advantages may become apparent from the description or be learned by practicing the invention. The objects and other advantages of this invention can be realized and obtained from the description and drawings, which are particularly pointed out. Attached Figure Description

[0028] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts.

[0029] Figure 1 This is a structural diagram of the dynamic Gantt chart system for the casting and rolling of a sheet metal production line. Figure 2 Here is the flowchart for the casting and rolling dynamic simulation module; Figure 3 A schematic diagram of the calculation method for the slab temperature prediction module; Figure 4 This is a structural diagram of the overhead crane scheduling module. Detailed Implementation

[0030] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which constitute a part of the present invention and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0031] Currently, steel plate production lines in steel enterprises use traditional manual scheduling methods. The entry and exit of slabs are based on basic rules and experience, and cannot be comprehensively optimized from a global perspective according to the requirements and rhythm matching of the rolling unit. This often results in slabs being stacked twice or multiple times, which prolongs the slab residence time in the warehouse, increases the workload of overhead cranes, and affects the efficiency of slabs entering the line and the furnace temperature.

[0032] Furthermore, the current lack of a dynamic Gantt chart system for casting and rolling prevents the integration of logistics information from heat to slab, and makes it impossible to intuitively display the matching relationship between continuous casting cycles and hot rolling processes. The production data from continuous casting, heating furnaces, and rolling lines lack data fusion and integration, making it difficult to effectively integrate and share data between different processes. This hinders the information integration, rhythm prediction, and dynamic adjustment functions of the dynamic Gantt chart for casting and rolling. Consequently, the goal of unified chart-based command and control cannot be achieved, resulting in lower slab hot charging temperatures, affecting hot charging rates, and wasting resources.

[0033] Therefore, the present invention provides a dynamic Gantt chart system for casting and rolling of steel plate production lines. The system includes a data acquisition module, a dynamic simulation module for casting and rolling, a slab temperature prediction module, a crane scheduling module, and a dynamic Gantt chart for casting and rolling. The data acquisition module is used to collect data before and during production. The casting and rolling dynamic simulation module takes pre-production data as input and combines it with process rules to extrapolate and simulate the process from the continuous casting machine to the hot rolling section of the plate production line; at the same time, it makes dynamic adjustments based on production data. The slab temperature prediction module constructs a temperature field prediction model that integrates heat transfer mechanisms to predict the temperature changes of the slab throughout the entire process from continuous casting cutting to before it enters the furnace. The overhead crane scheduling module is used to execute commands from the casting and rolling dynamic simulation module and the slab temperature prediction module; The casting and rolling dynamic Gantt chart is used to display the results of the casting and rolling dynamic simulation module and the slab temperature prediction module.

[0034] Compared with existing technologies, the dynamic Gantt chart system for plate production line casting and rolling of this invention realizes a transformation in scheduling mode from "passive response" to "proactive foresight," significantly improving production coordination and efficiency. Through the casting and rolling dynamic simulation module and the slab temperature prediction module, a prediction system covering the production rhythm of each process from continuous casting to hot rolling is constructed. The system not only displays current production performance but also, based on the current status and plan, performs high-precision prediction and simulation of the production rhythm, logistics matching relationships, and slab temperature changes for the next tens of minutes or even hours. This has resulted in an increase in the average monthly hot charging temperature of all steel grades from 425℃ to 567℃, and an increase in the hot charging rate from 56.1% to 72.3%.

[0035] Specifically, the data acquisition module includes a front-end data acquisition module and a back-end data acquisition module; The front-end data acquisition module is used to collect casting schedules, furnace schedules, cutting schedules, and rolling schedules; The backend data acquisition module is used to collect production performance, logistics performance, and overhead crane tracking data.

[0036] It should be noted that in this invention, data acquisition includes front-end data acquisition and back-end data acquisition. Front-end data acquisition refers to data at the planning level or before production. Back-end data acquisition refers to data during or after production.

[0037] The front-end and back-end data acquisition modules are interconnected. The front-end module receives and manages production plans from the upper-level system, serving as the basis for production execution. The back-end module collects actual data from the production site in real time, comparing it with planned data to achieve real-time monitoring of production progress, full-process tracking of materials, and rapid response to anomalies. The former transmits instructions, while the latter provides feedback and awareness; the two work collaboratively.

[0038] Specifically, the casting schedule includes the casting number, casting machine number, planned casting start time, status, and preparation time.

[0039] It should be noted that the casting cycle plan is the crucial link between steelmaking and rolling, and its fundamental purpose is to achieve high-efficiency, low-cost continuous production while ensuring quality and safety. Ideally, once the continuous casting machine begins casting, it should operate continuously for as long as possible. The casting cycle plan determines the number of heats to be cast continuously, reducing preparation time and material consumption caused by frequent start-up and shutdown. Therefore, when formulating the plan, it is necessary to consider the casting cycle number, casting machine number, planned start-up time, status (status of the casting cycle plan: not issued, issued, in progress, completed), and preparation time (reverse casting time, the preparation time between the end of the previous casting cycle and the start of the next casting cycle).

[0040] Specifically, the heat plan includes sequence number, heat order number, heat number, status, steel type, weight, and process path.

[0041] It should be noted that the furnace batch plan refers to the planned arrangement in the smelting or melting process, which needs to take into account the sequence number (the order of the furnace batches), the furnace batch order number, the furnace batch number, the status (the status of the furnace batch, confirmed or completed), the steel grade, the weight, and the process path information.

[0042] Specifically, the cutting plan includes the flow number, the sequence number within the flow, the slab number, the order number, the weight, the length, the width, and the thickness.

[0043] It should be noted that the cutting plan occurs at the end of the continuous casting process. Based on order requirements, rolling needs, and equipment capacity, it involves optimizing the length of the continuously drawn slabs and generating cutting instructions. The following data needs to be collected: flow number (which flow in the continuous casting machine the cutting plan is located in), flow sequence number (which slab in that flow it is), slab number, order number, weight, length, width, and thickness.

[0044] Specifically, the rolling plan includes the order number, piece number, slab number, rolling sequence, target specifications, and the planned start and end times for each stand.

[0045] It should be noted that the rolling plan occurs during the steel rolling process and mainly targets the pre-cut billets that have been delivered to the steel rolling workshop or the hot billets that have been delivered directly via hot charging.

[0046] Specifically, production performance includes continuous casting performance, heating furnace performance, and rolling mill performance.

[0047] The continuous casting performance includes the actual start time, actual end time, casting speed, and cutting length / time.

[0048] The actual performance of the heating furnace includes the actual time the slab is fed into the furnace, the actual time it is unloaded from the furnace, and the actual temperature of each section of the furnace.

[0049] The mill performance includes the rolling rhythm, actual rolling specifications, and equipment operating status (running, shutdown, malfunction) for each slab.

[0050] Specifically, logistics performance data includes information on the movement of slabs on roller conveyors, stacking tables, and unloading tables.

[0051] Specifically, crane tracking includes crane position, work instructions, and work status.

[0052] Crane position: Real-time coordinates of the overhead crane's main trolley and auxiliary trolley, obtained through laser positioning or UWB technology.

[0053] Work instructions: hoisting plans (object to be hoisted, starting stack position, target stack position) received from the overhead crane dispatching system.

[0054] Operation status: lifting, lowering, running, etc., and corresponding timestamps.

[0055] It should be noted that the casting and rolling dynamic simulation module takes pre-production data such as casting schedule and rolling schedule as input, and combines the matching rules between casting schedule and rolling schedule, slab stacking process rules and conveying process rules. Through casting and rolling process simulation, it predicts the casting and rolling production rhythm and matching relationship, and makes advance judgment on the casting and rolling coordination from a global perspective.

[0056] There is a matching relationship between the casting schedule and the rolling schedule, following the matching rules: 1) The difference between the planned output time of the casting and the planned material demand time of the rolling process should satisfy the roller conveyor transport time or the inventory waiting time. 2) Steel grade matching: The steel grade of the incoming steel grade shall be strictly matched according to the steel grade data of the casting material and the rolling plan order requirements, or high grade steel grade can be supplied in a low grade (high grade steel grade can be used to produce low grade steel grade). 3) Width matching is based on the minimum width of the rolling plan order information ≤ the narrow width of the material in the casting ≤ the maximum width of the rolling plan order information; 4) Weight matching: The minimum weight of the material to be fed according to the rolling plan order information shall be less than or equal to the maximum weight of the material to be fed according to the rolling plan order information. 5) A successful match is achieved only if the steel type, width, and weight all meet the requirements.

[0057] When the casting schedule fails to match the rolling schedule or the waiting time is too long and warehousing is required, the slab stacking process rules should be considered, specifically: 1) Select a storage location within the designated area; based on the area division of the slab warehouse, select a suitable area for storing the types of slabs that need to be stored. 2) Slabs of the same steel grade and specification should be stacked together; 3) Stack slabs according to the rolling plan; when stacking similar slabs, select the same storage area and stack them according to the order of their departure time. When there are multiple slabs to be stacked, place the slabs that left the warehouse earlier on the upper layer and the slabs that left the warehouse later on the lower layer. 4) When stacking slabs, follow the principle that the upper layer of slabs should be narrow and short, and the lower layer of slabs should be wide and long; Because the slabs produced by the casting machine are still very hot when they are taken off the line, they will deform slightly due to the high temperature when they are hoisted by the overhead crane. Therefore, maintaining this slab regularity can ensure that the slabs are placed stably.

[0058] It should be noted that "same steel grade" refers to steel with the same grade and other specifications; "same specification" mainly refers to slabs with consistent dimensions. Placing such slabs together can reduce the stacking of slabs when they leave the warehouse and improve work efficiency.

[0059] The rules for conveying slabs include: 1) Planning Priority: Strictly follow the order required by the rolling plan for conveying materials; 2) Temperature priority: When two slabs are conveyed on the roller conveyor at the same time, the slab with higher temperature or urgent need for conveying is given priority to prevent it from becoming a warm slab or a cold slab due to its low temperature. 3) Make reasonable use of physical paths such as warehouse areas and stacking platforms to adjust the order of slabs on the transport roller conveyor; 4) When a slab is found to have quality problems or does not meet rolling requirements, it should be removed from the overhead crane line first to avoid affecting the roller conveyor rhythm; 5) If the rolling mill suddenly stops, the feeding of slabs to the rolling line should be stopped immediately, and the slabs already in transit should be guided to the heating furnace or returned to the roller table for heat preservation and re-queuing.

[0060] It should be noted that the casting and rolling dynamic simulation module is the core model of this system. Taking the casting and rolling plans as inputs and combining them with process rules, it simulates and extrapolates the process from the continuous casting machine to the hot rolling section of a steel enterprise's plate production line in a virtual space. The main function of the casting and rolling dynamic simulation module is to predict the production rhythm in advance, identify potential bottlenecks, and evaluate matching relationships. For example, through simulation, if the casting and rolling plans show that the casting output time and rolling time are too short, the production rhythm cannot be matched, and the slab needs to be put into storage. This results in the slab produced by the continuous casting machine having to be taken off the line before it can be hot-charged, leading to energy waste. Therefore, the start time of the casting or rolling plans is adjusted to ensure that the production rhythm can be matched, providing predictive results for production scheduling to assist decision support, thereby achieving a leap from passive response to proactive optimization.

[0061] Reference Figure 2The casting and rolling dynamic simulation module acquires the details and schedule of the casting and rolling plans through data acquisition. Based on the casting speed rules and equipment configuration capabilities, it simulates the completion time of cutting slabs in the continuous casting machine (cutting time affects transportation time). Then, it determines whether the cut slab meets the order requirements according to the matching rules of the rolling order. If the attributes of the cut slab do not meet the requirements of the hot rolling order, it cannot be matched; the cutting plan will be entered into the slab library and recorded. If the attributes of the cut slab meet the requirements of the hot rolling order, the next step is to determine whether the timing is met. Taking the start time of the rolling unit in the rolling plan as a fixed time, the entry and exit time of the slab from the heating furnace is deduced based on the heating furnace parameters and steel heating process rules. The time is compared with the cutting time. If time permits, it can be directly loaded. If the time is long, it needs to be put into the warehouse first and then released from the warehouse at a suitable time. The entry and exit information is recorded.

[0062] Specifically, the slab temperature prediction module constructs a temperature field prediction model that integrates heat transfer mechanisms to predict the temperature changes of the slab throughout the entire process, from continuous casting cutting to furnace entry. This module can calculate the current temperature of the slab in real time, thus providing a scientific quantitative basis for slab scheduling, path selection, and furnace entry sequencing, maximizing the proportion and efficiency of hot charging and hot delivery. It is a key technological support for achieving integrated casting and rolling collaboration and low-carbon production.

[0063] Specifically, finite element temperature field calculations were performed on the conveying process of the cast-rolled slab at the interface. The basic form of the heat conduction equation is as follows:

[0064]

[0065]

[0066] In the formula: -density, -Specific heat capacity, - Velocity field, T - Temperature - Thermal conductivity, - An internal heat source per unit volume, with temperature function T(X,Y,Z) in the XYZ direction.

[0067] It should be noted that the initial temperature is assumed to be the temperature at which continuous casting and cutting are completed during the simulation. Convection heat transfer is used as the boundary condition, and the temperature change over time is analyzed transiently. The temperature drop curve during the slab conveying process is verified on-site. The calculation results are consistent with the on-site temperature measurement data. The mathematical model is then regressed to obtain the functional relationship between the temperature drop rate of the slab on the roller conveyor, and on the top, bottom, and middle layers of the stack, and time.

[0068] During the conveying of slabs at the casting-rolling interface, the cooling process can be divided into two cases: on the roller conveyor and on the stack. On the roller conveyor, the slab contacts the roller conveyor and generates heat conduction, which is higher than the ambient temperature and radiates heat to the surroundings. On the stack, there are three cases: the top layer, the bottom layer, and the middle layer. The top layer has heat dissipation through contact between the slab cross-section and the air, the bottom layer has heat dissipation through contact between the slab cross-section and the ground, and the middle layer is heat conduction through contact between the slabs.

[0069] Reference Figure 3 The slab temperature prediction module establishes the initial state of the slab temperature field at the continuous casting machine cutting point, which serves as the initial value for temperature prediction during subsequent conveying and storage processes. It calculates the temperature drop process of the slab during conveying on the roller conveyor and the temperature drop process of the slab in its stack within the storage area, taking into account the temperature drop coefficient under different seasons, the heat dissipation coefficient under different storage locations, and the heat dissipation coefficient under different air contact areas to ensure the accuracy of the predicted temperature.

[0070] According to the roller conveyor

[0071] At the top level of the storage location, according to

[0072] In the middle layer of the storage location, according to

[0073] At the bottom of the storage location, according to

[0074] Where: y is the cooling rate, ℃ / h; x is the time, h; e is a constant, 2.71828.

[0075] The slab temperature prediction model starts with the completion of slab cutting and uses the cutting temperature as the initial temperature. It records the time the slab spends on the roller conveyor, the time it spends in the warehouse, and the time it spends in different stack positions and layers in the warehouse. It is supplemented by the temperature drop formula (cooling rate × time) under different conditions to calculate the corresponding temperature drop. The initial temperature minus the temperature drop is the predicted temperature. It can be used to predict the temperature of all slabs.

[0076] Based on the prediction results, the scheduling of slabs meeting the requirements of the same rolling unit can be optimized. The predicted temperature of each candidate slab after being hoisted from its current position to the furnace inlet can be calculated. The overhead crane scheduling module can then select the optimal slab, prioritizing slabs with higher predicted furnace entry temperatures to ensure that their temperatures are above the hot charging requirements. Simultaneously, an optimal hoisting sequence can be determined to ensure the order of hoisting, maximizing the hot charging rate or meeting the rolling rhythm requirements.

[0077] The temperature prediction model can calculate the real-time temperature of the slab after cutting and during the transportation process, providing a basis for judging the priority of slab storage and transportation. The temperature prediction model for slab hoisting into the furnace in the slab warehouse can compare the lowest surface temperature of slabs at different locations and temperatures before they are hoisted into the heating furnace, providing a basis for judging the selection of slabs and the order of slabs entering the furnace during the online hot charging process.

[0078] The slab temperature prediction module and the casting and rolling dynamic simulation module are interdependent and work together. The slab temperature prediction module needs the production process simulation data from the casting and rolling dynamic simulation module to calculate the temperature drop, thereby predicting the temperature change of the slab during the casting and rolling process. Meanwhile, the casting and rolling dynamic simulation module needs the temperature prediction information from the slab temperature prediction module to dynamically match the plan. Based on the temperature prediction value, the dynamic simulation results can be further optimized to achieve accurate simulation.

[0079] Reference Figure 4 The overhead crane scheduling module receives optimized scheduling tasks from upstream modules (such as the casting and rolling dynamic simulation module and the slab temperature prediction module), and transforms the production plan into specific, executable, and highly efficient overhead crane operation instructions based on the real-time status and position of the overhead crane and multi-objective optimization algorithms. The overhead crane scheduling module aims to solve the problems of conflict, path optimization, and efficiency maximization in multi-overhead crane collaborative operations, ensuring efficient synchronization of production rhythm between slab logistics and the casting and rolling interface.

[0080] The input to the overhead crane scheduling module comes from scheduling task requests from other modules. These may be slab delivery instructions generated based on the rolling plan, slab storage and stacking instructions generated based on the cutting rhythm, priority hoisting instructions generated based on the temperature prediction module, or emergency order insertion or task adjustment instructions generated in response to sudden situations (such as mill failure or plan changes).

[0081] The overhead crane scheduling module combines the above-mentioned instruction priorities with optimization goals such as maximizing efficiency, maximizing hot-loading rate, and balancing overhead crane operations, taking into account spatial obstacle avoidance, resource mutual exclusion, overhead crane capacity, and task timing.

[0082] It should be noted that maximizing efficiency means minimizing the total time or total travel distance for all overhead cranes to complete their tasks; maximizing hot loading rate means prioritizing the rapid hoisting of high-temperature slabs to meet hot loading conditions; balanced crane operation means avoiding overloading of individual cranes while others remain idle; spatial obstacle avoidance means maintaining safe distances between cranes and between cranes and trolleys to prevent physical collisions; resource mutual exclusion means that only one crane can operate at the same stack or on the same section of track at the same time; crane capacity considers performance parameters such as crane lifting speed, trolley / trolley running speed, and rated load; task sequencing considers the sequential dependencies between tasks (e.g., billet must be picked up before billet can be placed).

[0083] Specifically, the dynamic Gantt chart for casting and rolling can display project forecasts, casting and rolling matching status, slab properties, and production status of each process.

[0084] It should be noted that the casting and rolling dynamic Gantt chart is the visualization interface of this system. It is a dynamic, interactive, and perceptible comprehensive information presentation page that integrates multi-dimensional data such as planning, actual performance, forecasting, logistics, quality, and temperature. With the time axis as the horizontal axis and the various processes or equipment between the continuous casting machine and hot rolling as the vertical axis, and the slab as the smallest unit, it displays the attributes and status of the slab at different times under the corresponding processes or equipment.

[0085] The casting and rolling dynamic Gantt chart, based on the casting and rolling dynamic simulation module, predicts casting, furnace, cutting, and rolling schedules, and supplements the slab temperature attributes with the slab temperature prediction module. The casting and rolling dynamic Gantt chart displays the results from both the casting and rolling dynamic simulation module and the slab temperature prediction module. After simulating and predicting the slab temperature, feedback can be provided on the casting and rolling dynamic Gantt chart, including the plan prediction results, casting and rolling matching status, slab attributes, and production status of each process. It clearly displays the production status of key processes such as continuous casting machines, heating furnaces, and rolling mills, while also providing detailed descriptions of the precise time and detailed attributes of each slab in each stage of continuous casting, conveying, storage, heating, and rolling.

[0086] This invention also provides a method for dynamic adjustment of casting and rolling in a steel plate production line, comprising: Collect data before and during production; Using pre-production data as input and combining process rules, the process flow from the continuous casting machine to the hot rolling section of the plate production line is deduced and simulated; at the same time, dynamic adjustments are made based on production data. At the same time, a temperature field prediction model integrating heat transfer mechanism is constructed to predict the temperature change of slab throughout the entire process from continuous casting cutting to before entering the furnace. Finally, the overhead crane was deployed.

[0087] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A dynamic Gantt chart system for casting and rolling in a steel plate production line, characterized in that, The system includes a data acquisition module, a casting and rolling dynamic simulation module, a slab temperature prediction module, a crane scheduling module, and a casting and rolling dynamic Gantt chart. The data acquisition module is used to collect data before and during production. The casting and rolling dynamic simulation module takes pre-production data as input and combines it with process rules to extrapolate and simulate the process from the continuous casting machine to the hot rolling section of the plate production line; at the same time, it makes dynamic adjustments based on production data. The slab temperature prediction module constructs a temperature field prediction model that integrates heat transfer mechanisms to predict the temperature changes of the slab throughout the entire process from continuous casting cutting to before it enters the furnace. The overhead crane scheduling module is used to execute commands from the casting and rolling dynamic simulation module and the slab temperature prediction module; The casting and rolling dynamic Gantt chart is used to display the results of the casting and rolling dynamic simulation module and the slab temperature prediction module.

2. The dynamic Gantt chart system for casting and rolling of steel plate production lines according to claim 1, characterized in that, The data acquisition module includes a front-end data acquisition module and a back-end data acquisition module; The front-end data acquisition module is used to collect casting schedules, furnace schedules, cutting schedules, and rolling schedules; The backend data acquisition module is used to collect production performance, logistics performance, and overhead crane tracking data.

3. The dynamic Gantt chart system for casting and rolling of steel plate production lines according to claim 1, characterized in that, The production performance includes continuous casting performance, heating furnace performance, and rolling mill performance; The logistics data includes information on the movement of slabs at the roller conveyor, stacking table, and unloading table. The crane tracking includes the crane position, operation instructions, and operation status.

4. The dynamic Gantt chart system for casting and rolling of plate production lines in steel enterprises according to claim 1, characterized in that, The continuous casting performance includes the actual start time of casting, the actual end time of casting, the billet pulling speed, and the cutting length / time. The actual performance of the heating furnace includes the actual time of slab entering the furnace, the actual time of slab exiting the furnace, and the actual temperature of each section of the furnace. The rolling mill performance includes the rolling rhythm, actual rolling specifications, and equipment operating status for each slab.

5. The dynamic Gantt chart system for casting and rolling of steel plate production lines according to claim 1, characterized in that, The following matching rules apply between the casting schedule and the rolling schedule: 1) The difference between the planned output time of the casting and the planned material demand time of the rolling process should satisfy the roller conveyor transport time or the inventory waiting time. 2) Steel grade matching: The steel grade of the incoming steel must be strictly matched according to the steel grade data of the casting batch and the rolling plan order requirements, or high-grade steel grade must be supplied at a lower price. 3) Width matching is based on the minimum width of the rolling plan order information ≤ the narrow width of the material in the casting ≤ the maximum width of the rolling plan order information; 4) Weight matching: The minimum weight of the material to be fed according to the rolling plan order information shall be less than or equal to the maximum weight of the material to be fed according to the rolling plan order information. 5) A successful match is achieved only if the steel type, width, and weight all meet the requirements.

6. The dynamic Gantt chart system for casting and rolling of plate production lines in steel enterprises according to claim 4, characterized in that, When the casting schedule fails to match the rolling schedule or the waiting time is too long and warehousing is required, the slab stacking process rules should be considered, specifically: 1) Select a storage location within the designated area; based on the area division of the slab warehouse, select a suitable area for storing the types of slabs that need to be stored. 2) Slabs of the same steel grade and specification should be stacked together; 3) Stack slabs according to the rolling plan; when stacking similar slabs, select the same storage area and stack them according to the order of their departure time. When there are multiple slabs to be stacked, place the slabs that left the warehouse earlier on the upper layer and the slabs that left the warehouse later on the lower layer. 4) When stacking slabs, follow the principle that the upper layer of slabs should be narrow and short, and the lower layer of slabs should be wide and long.

7. The dynamic Gantt chart system for casting and rolling of plate production lines in steel enterprises according to claim 1, characterized in that, The process rules referenced during the slab conveying process include: 1) Planning Priority: Strictly follow the order required by the rolling plan for conveying materials; 2) Temperature priority: When two slabs are conveyed on the roller conveyor at the same time, the slab with higher temperature or urgent need for conveying is given priority; 3) Make reasonable use of physical paths such as warehouse areas and stacking platforms to adjust the order of slabs on the transport roller conveyor; 4) When a slab is found to have quality problems or does not meet rolling requirements, it should be removed from the overhead crane line first to avoid affecting the roller conveyor rhythm; 5) If the rolling mill suddenly stops, the feeding of slabs to the rolling line should be stopped immediately, and the slabs already in transit should be guided to the heating furnace or returned to the roller table for heat preservation and re-queuing.

8. The dynamic Gantt chart system for casting and rolling of steel plate production lines according to claim 1, characterized in that, Finite element method temperature field calculations were performed on the conveying process of the cast-rolled slab at the interface. The basic form of the heat conduction equation is as follows: In the formula: -density, -Specific heat capacity, - Velocity field, T - Temperature - Thermal conductivity, - Internal heat source per unit volume.

9. A dynamic Gantt chart system for casting and rolling in a steel enterprise's plate production line according to claim 1, characterized in that, The cooling rate of the slab at different locations; according to the roller conveyor At the top level of the storage location, according to In the middle layer of the storage location, according to At the bottom of the storage location, according to Where: y is the cooling rate, ℃ / h; x is the time, h; e is a constant, 2.71828.

10. A method for dynamic adjustment of casting and rolling in a steel plate production line, characterized in that, The system is implemented using any one of claims 1-9, and includes: Collect data before and during production; Using pre-production data as input and combining process rules, the process flow from the continuous casting machine to the hot rolling section of the plate production line is deduced and simulated; at the same time, dynamic adjustments are made based on production data. At the same time, a temperature field prediction model integrating heat transfer mechanism is constructed to predict the temperature change of slab throughout the entire process from continuous casting cutting to before entering the furnace. Finally, the overhead crane was deployed.

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