Slab continuous casting intelligent production scheduling method

Abstract

The invention provides an intelligent production scheduling method for slab continuous casting, which is based on a blank cutting sequence model of an intelligent algorithm and comprises the following steps: S1, data collection and analysis: the model firstly collects detailed information of all slabs to be processed; s2, plate blank instructions are sorted and optimized, specifically, based on the collected data, the model adopts an intelligent algorithm to conduct multi-dimensional sorting on plate blanks; s3, production plan integration: integrating the current production plan by the model, and ensuring that the blank cutting sequence is consistent with the overall production target; s4, an optimal blank cutting sequence is generated, specifically, after all the factors are comprehensively considered, the optimal blank cutting sequence is calculated through the model, it is ensured that the production process is efficient and energy-saving, and meanwhile the urgency degree of customer requirements is met; and S5, special rule and limitation: the model follows a specific rule when specifying a blank cutting sequence. According to the method, the error rate possibly caused by manual intervention is greatly reduced, and the flexibility of the production process and the response speed to market requirements are remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of slab cutting, and in particular to an intelligent production scheduling method for slab continuous casting. Background Art

[0002] There is a common and prominent problem in the process of slab cutting, that is, the cutting production must usually be strictly carried out in accordance with the instruction blanks of the same casting. This means that during the production process, even if it is necessary to fine-tune the order of the blanks within the casting, it is greatly restricted. This rigid production model undoubtedly poses a considerable challenge to the efficiency of production management.

[0003] What’s more serious is that the traditional billet cutting method is not flexible enough to deal with urgent orders or contract orders. Similarly, it is impossible to effectively and flexibly allocate the planned output of different steel grades. These problems may not only lead to delays in production schedules, but also cause customer dissatisfaction and disputes, thereby increasing the company’s operational risks.

[0004] Therefore, in order to improve overall operational efficiency and reduce potential risks, optimizing the cutting sequence has become an urgent issue to be solved. By improving the cutting process and achieving more flexible and efficient production management, it will help companies stand out in the fierce market competition. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent production scheduling method for slab continuous casting to solve some problems existing in the prior art.

[0006] To achieve the above object, the present invention adopts the following technical solution:

[0007] A slab continuous casting intelligent production scheduling method is based on a slab cutting sequence model of an intelligent algorithm and specifically comprises the following steps:

[0008] S1. Data collection and analysis: The model first collects detailed information of all slabs to be processed to provide comprehensive data support for subsequent decision-making;

[0009] S2. Sorting and optimization of slab instructions: Based on the collected data, the model uses intelligent algorithms to sort slabs in multiple dimensions;

[0010] S3, production plan integration: The model integrates the current production plan to ensure that the cutting sequence is consistent with the overall production target;

[0011] S4, optimal cutting sequence generation: After comprehensively considering all the above factors, the model calculates an optimal cutting sequence to ensure that the production process is both efficient and energy-saving while meeting the urgency of customer needs;

[0012] S5. Special rules and restrictions: The model follows specific rules when specifying the cutting order.

[0013] Furthermore, the slab cutting sequence model includes a steelmaking slab hot charging model and a steelmaking slab landing model.

[0014] Furthermore, the cutting sequence principles of the steelmaking slab hot charging model include the order completeness principle, the roll cycle adaptability principle and the size sorting principle.

[0015] Furthermore, the order integrity principle is to ensure that slabs of the same order can be produced continuously and completely, and to avoid mixed production scheduling of slabs of different orders.

[0016] Furthermore, the roll cycle adaptability principle specifically includes the following contents:

[0017] 1 hour after changing the rolls: arrange the steel plate with a thickness of 8mm and a width of ≤2000mm;

[0018] 5 hours after roller change: arrange steel plates with a thickness of 8mm and a width of >2000mm, and steel plates with a thickness of ≤16mm and a width of >2200mm;

[0019] 8 hours after roller change: arrange "Longgong Plate" of specific specifications, i.e. steel plate with 10mm<h≤12mm and width ≥2400mm; steel plate with 8mm<h≤10mm and width ≥2300; steel plate with h=8mm and width ≥2200mm.

[0020] Furthermore, the size sorting principle is to arrange production in the order of thickness from thin to thick and width from narrow to wide of the finished product specifications; if there is an intersection, the order of increasing thickness is given priority.

[0021] Furthermore, the cutting sequence principles of the steelmaking slab landing model include an order completeness principle and a length priority principle.

[0022] Furthermore, the length priority principle arranges the slabs from short to long according to their lengths when they are placed on the ground after they come out of the furnace.

[0023] Furthermore, the detailed information in step S1 includes the specifications, weight, material requirements, production priority indication level and real-time status of the slab.

[0024] Furthermore, the factors considered by the sequencing logic in step S2 include production priority, maximizing energy efficiency, reducing mold change time, and continuously producing panels of the same specification.

[0025] Compared with the existing technology, the above technical solution has the following beneficial effects:

[0026] 1. Reduce error rates and disputes: With the help of intelligent algorithms for automatic production scheduling, manual intervention is effectively reduced, thereby significantly reducing production failures and customer complaints caused by human errors, providing a more robust guarantee for enterprise operations;

[0027] 2. Intelligent and automated innovation: It has achieved a smooth transformation from traditional management mode to intelligent and automated management, greatly improved the automation level of the system, reduced dependence on manual labor, made the production process more accurate and controllable, and significantly improved efficiency;

[0028] 3. Accurately meet customer needs: The model fully considers the urgency and personalized needs of customer orders during the production scheduling process to ensure that orders can be delivered on time, thereby improving customer satisfaction and enhancing the company's competitiveness in the market;

[0029] 4. Flexible response to market changes: When faced with urgent orders or contract orders, the model can quickly adjust the production plan, avoiding production delays caused by process rigidity in the traditional model, and improving the speed and flexibility of enterprises in responding to market changes;

[0030] 5. Improve overall production efficiency: With the help of intelligent technology, the cutting sequence is dynamically optimized to ensure the smooth operation of the production process, reduce unnecessary downtime and waiting time, and greatly improve the overall production efficiency and output capacity.

[0031] In summary, the present invention achieves a leap from traditional management mode to intelligent and automated management, greatly reduces the error rate that may be caused by manual intervention, and significantly improves the flexibility of the production process and the response speed to market demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0033] Figure 1 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0035] In view of the problems existing in the prior art, the present invention provides an intelligent production scheduling method for slab continuous casting, which is described in detail below with reference to the accompanying drawings.

[0036] The technical solution adopted in this specific implementation is:

[0037] A slab continuous casting intelligent production scheduling method is provided, which is based on a slab cutting sequence model of an intelligent algorithm and specifically includes the following steps:

[0038] S1. Data collection and analysis: The model first collects detailed information of all slabs to be processed.

[0039] The detailed information includes, but is not limited to, the specifications of the slabs (such as thickness, width, length), weight, material requirements, production priority indication levels, and real-time status of the equipment (such as load, availability, and maintenance cycle).

[0040] This step provides comprehensive data support for subsequent decision-making.

[0041] S2. Sorting and optimization of slab instructions: Based on the collected data, the model uses intelligent algorithms to sort slabs in multiple dimensions;

[0042] The sequencing logic in this step takes into account production priorities, maximizing energy efficiency, reducing mold change time, and continuously producing slabs of the same specification, so as to reduce equipment adjustment time and keep the production process stable and efficient.

[0043] S3. Production plan integration: The model integrates the current production plan to ensure that the cutting sequence is consistent with the overall production target, such as arranging continuous processing of slabs of similar specifications to reduce energy consumption and improve equipment efficiency;

[0044] S4, optimal cutting sequence generation: After comprehensively considering all the above factors, the model calculates an optimal cutting sequence to ensure that the production process is both efficient and energy-saving while meeting the urgency of customer needs;

[0045] S5. Special rules and restrictions: When specifying the cutting sequence, the model follows specific rules, such as avoiding the exchange of slabs of different thicknesses or widths, allowing the exchange of slabs of different lengths only under specific conditions, and considering factors such as steel grade matching and hot charging plan to ensure that the production process meets technical requirements and contract constraints.

[0046] It should be specifically explained that the slab cutting sequence model includes a steelmaking slab hot charging model and a steelmaking slab landing model.

[0047] The steelmaking slab hot charging model includes the following slab cutting sequence principles:

[0048] 1. Order integrity principle.

[0049] First, ensure that the slabs of the same order can be produced continuously and completely to avoid mixed scheduling of slabs from different orders.

[0050] Among them, the slab information includes slab number, contract number, slab weight, slab thickness, slab width, slab length, steel-making mark and brand, etc.

[0051] The contract information on the slab includes the contract tapping mark, contract thickness, contract width, contract length and contract status.

[0052] The hot and cold charging plan information of slabs includes the plan status and hot charging mark.

[0053] 2. Principle of roll cycle adaptability.

[0054] Specifically include the following:

[0055] 1 hour after changing the rolls: arrange the steel plate with a thickness of 8mm and a width of ≤2000mm;

[0056] 5 hours after roller change: arrange steel plates with a thickness of 8mm and a width of >2000mm, and steel plates with a thickness of ≤16mm and a width of >2200mm;

[0057] 8 hours after roller change: arrange "Longgong Plate" of specific specifications, i.e. steel plate with 10mm<h≤12mm and width ≥2400mm; steel plate with 8mm<h≤10mm and width ≥2300; steel plate with h=8mm and width ≥2200mm.

[0058] 3. Size sorting principle.

[0059] Under the premise of meeting the above conditions, the finished product specifications are arranged in the order of thickness from thin to thick and width from narrow to wide. If there is a crossover (i.e. the slab size changes in thickness and width at the same time), the order of increasing thickness is given priority.

[0060] The steelmaking slab landing model includes the following slab cutting sequence principles:

[0061] 1. Order integrity principle.

[0062] Same as the order integrity principle of the steelmaking slab hot charging model, the integrity of the slab production within the order should be maintained as a priority.

[0063] 2. Length priority principle.

[0064] The order of the slabs after they come out of the furnace is mainly based on their length, from short to long. This principle helps to improve the logistics efficiency and rationality of stacking in the subsequent processing.

[0065] Implementation suggestions:

[0066] A flexible model configuration table is established in the cutting sequence model of the intelligent algorithm to adjust the above production scheduling principles according to actual production needs and equipment conditions, such as fine-tuning the roll replacement time window or adding processing rules for special orders.

[0067] Set up a dynamic adjustment mechanism, that is, when implementing the model, a real-time monitoring system should be equipped to track production progress and order status, dynamically adjust the cutting plan, and ensure the optimal production sequence.

[0068] Conduct simulation and optimization, that is, use computer simulation software to test and optimize the model before formal implementation to verify its effectiveness in different production scenarios, especially its ability to cope with complex order combinations and emergency order inquiries.

[0069] The above description is only used to illustrate the technical solution of the present invention rather than to limit it. Other modifications or equivalent substitutions made to the technical solution of the present invention by ordinary technicians in this field should be included in the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solution of the present invention.

Claims

1. A slab continuous casting intelligent production scheduling method, characterized in that: The cutting sequence model is based on an intelligent algorithm and specifically includes the following steps: S1. Data collection and analysis: The model first collects detailed information of all slabs to be processed to provide comprehensive data support for subsequent decision-making; S2. Sorting and optimization of slab instructions: Based on the collected data, the model uses intelligent algorithms to sort slabs in multiple dimensions; S3, production plan integration: The model integrates the current production plan to ensure that the cutting sequence is consistent with the overall production target; S4, optimal cutting sequence generation: After comprehensively considering all the above factors, the model calculates an optimal cutting sequence to ensure that the production process is both efficient and energy-saving while meeting the urgency of customer needs; S5. Special rules and restrictions: The model follows specific rules when specifying the cutting order.

2. The slab continuous casting intelligent production scheduling method according to claim 1, characterized in that: The slab cutting sequence model includes a steelmaking slab hot charging model and a steelmaking slab landing model.

3. The slab continuous casting intelligent production scheduling method according to claim 2, characterized in that: The cutting sequence principles of the steelmaking slab hot charging model include the order completeness principle, the roll cycle adaptability principle and the size sorting principle.

4. The slab continuous casting intelligent production scheduling method according to claim 3, characterized in that: The order integrity principle is to ensure that the slabs of the same order can be produced continuously and completely, and to avoid mixed production of slabs of different orders.

5. The slab continuous casting intelligent production scheduling method according to claim 3, characterized in that: The roll cycle adaptability principle specifically includes the following contents: 1 hour after changing the rolls: arrange the steel plate with a thickness of 8mm and a width of ≤2000mm; 5 hours after roller change: arrange steel plates with a thickness of 8mm and a width of >2000mm, and steel plates with a thickness of ≤16mm and a width of >2200mm; 8 hours after roller change: arrange "Longgong plate" of specific specifications, i.e. steel plate with 10mm<h≤12mm and width ≥2400mm; steel plate with 8mm<h≤10mm and width ≥2300; steel plate with h=8mm and width ≥2200mm.

6. The slab continuous casting intelligent production scheduling method according to claim 3, characterized in that: The size sorting principle is to arrange production in the order of thickness from thin to thick and width from narrow to wide of the finished product specifications; if there is an overlap, the order of increasing thickness is prioritized.

7. The slab continuous casting intelligent production scheduling method according to claim 2, characterized in that: The cutting sequence principles of the steelmaking slab landing model include the order completeness principle and the length priority principle.

8. The slab continuous casting intelligent sorting method according to claim 7, characterized in that: The length priority principle is to arrange the slabs on the ground from short to long according to their length after they come out of the furnace.

9. The slab continuous casting intelligent sorting method according to claim 1, characterized in that: The detailed information in step S1 includes the specifications, weight, material requirements, production priority indication level and real-time status of the slab.

10. The slab continuous casting intelligent sorting method according to claim 1, characterized in that: The factors considered by the sequencing logic in step S2 include production priority, maximizing energy efficiency, reducing mold change time, and continuously producing panels of the same specification.

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