A rolling schedule scheduling method based on intelligent algorithm

Abstract

The present application relates to the field of metallurgical technology, and discloses a rolling plan scheduling method based on an intelligent algorithm. The method includes: obtaining various data values ​​of the slabs to be produced, and selecting a first set of slabs that meet the preset threshold value from the various data values; obtaining user-defined information, and selecting a second set of slabs that meet the customized information from the first set of slabs; obtaining the threshold intervals of different production stages of the roll period, and classifying the slabs of the second set of slabs according to the threshold intervals of different stages; and placing the classified slabs into the corresponding positions of the roll period sequence for rolling. It reduces the time for traditional manual scheduling of a roll period, greatly reduces the scheduling workload of planners, reduces the quality fluctuation problem caused by different scheduling habits of planners, improves the automation level of the hot rolling production line area, fits the actual production situation on site to the greatest extent, and solves the problems of large manual scheduling workload and fluctuations in scheduling quality.

Description

Technical Field

[0001] The present application relates to the field of metallurgical technology, and in particular, to a rolling plan scheduling method based on intelligent algorithm. Background Art

[0002] The steel production process includes multiple processes such as ironmaking, steelmaking, continuous casting, hot rolling and cold rolling. The processes of ironmaking, steelmaking, continuous casting, hot rolling and cold rolling are in a sequential processing relationship. There are not only problems of logistics balance and capital flow balance between them, but also problems of energy and time balance. The hot rolling process is between the continuous casting and cold rolling processes, and plays a connecting role. The scientific formulation and arrangement of hot rolling production plans directly affect the production of continuous casting and cold rolling. At present, the hot rolling schedule scheduling of major steel mills is mainly carried out manually by planners. Planners need to select schedulable slabs from thousands of slabs and sort them according to the hot rolling production process rules to obtain the rolling schedule. The manual operation workload of this process is large, and the degree of dependence on the scheduling experience of planners is high, which is not conducive to the refined management of production plans. By developing an automated scheduling function and refining and summarizing the manual scheduling experience, the scheduling workload of planners can be greatly reduced, the dependence of the quality of rolling plan scheduling on the scheduling experience of planners can be avoided, and the stability of rolling sequence process jumps can be improved.

[0003] Steel mills have a large number of slabs in stock and complex material conditions. Planners need to select schedulable slabs from thousands of slabs, which is a heavy workload for planners. The scheduling experience of planners is too dependent, and there are differences in scheduling experience among different planners, which will lead to scheduling quality fluctuations, thus affecting rolling process control and product quality. Summary of the invention

[0004] The purpose of this application is to provide a rolling planning scheduling method based on an intelligent algorithm, which greatly reduces the scheduling workload of planners, alleviates the quality fluctuation problem caused by different scheduling habits of planners, and improves the level of automation in the hot rolling production line area.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0006] According to one aspect of an embodiment of the present application, a rolling plan scheduling method based on an intelligent algorithm is provided, including: obtaining various data values ​​of slabs to be produced, and screening out a first set of slabs that meet a preset threshold from the various data values; obtaining user-defined information, and screening out a second set of slabs that meet the customized information from the first set of slabs; obtaining threshold intervals for different production stages of a rolling cycle, and classifying the slabs of the second set of slabs according to the threshold intervals for different stages; and placing the classified slabs into corresponding positions of a rolling sequence for rolling.

[0007] According to some embodiments, the method further includes obtaining a view of the slab to be produced, and obtaining various data values ​​corresponding to the slab according to the view.

[0008] According to some embodiments, the different stages of the rolling period are hot rolling material, transition material, main rolling material and secondary rolling material respectively, and the hot rolling material, transition material, main rolling material and secondary rolling material are all provided with corresponding threshold intervals. The slabs in the second slab set are respectively allocated to hot rolling material, transition material, main rolling material and secondary rolling material according to the corresponding threshold intervals.

[0009] According to some embodiments, the threshold interval includes a slab rolling width interval, a slab rolling thickness interval and a slab steel-out marking interval.

[0010] According to some embodiments, the method further includes arranging the classified slabs from large to small according to data values, calculating a slab sequence that satisfies the inter-slab jump constraint, and sorting the slabs according to the slab sequence.

[0011] According to some embodiments, the longest main rolling material and secondary rolling material sequence that meets the jump constraint between slabs is calculated from slab data through an ant colony algorithm; the hot roller material sequence that meets the jump constraint between slabs is calculated through a two-point distance formula; and the transition material sequence with smooth transition that meets the jump constraint between slabs is calculated through a shortest path algorithm.

[0012] According to some embodiments, it also includes a same-width kilometer limit, a steel-out mark number limit, a surface separation kilometer limit, a roll period kilometer limit, and a roll period block number limit.

[0013] According to some embodiments, the kilometers of same width are limited as follows: when the finished product width transitions to the same width transition within 50 mm, when the finished product thickness is greater than or equal to 3.0 mm, the maximum kilometers of same width is 35 km, and when the finished product thickness is less than 3.0 mm, the maximum kilometers of same width is 30 km.

[0014] According to some embodiments, the number of tapping marks is limited as follows: the number of tapping marks in a rolling plan is less than or equal to 10.

[0015] According to some embodiments, the preset threshold is X>0.

[0016] Compared with the prior art, the technical solution of the present application has the following significant beneficial effects: it reduces the time for traditional manual scheduling of a roll period, greatly reduces the scheduling workload of planners, reduces the quality fluctuation problem caused by different scheduling habits of planners, improves the automation level of the hot rolling production line area, fits the actual production situation on site to the greatest extent, and solves the problems of large manual scheduling workload and fluctuations in scheduling quality.

[0017] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other features and advantages of the present application will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0019] Figure 1 A flowchart according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0021] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0022] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0023] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0024] According to some embodiments, a rolling plan scheduling method based on an intelligent algorithm includes: obtaining a view of a slab to be produced, and obtaining various data values ​​of the corresponding slab according to the view. Obtaining various data values ​​of the slab to be produced, and filtering out a first set of slabs that meet a preset threshold from the various data values; obtaining user-defined information, and filtering out a second set of slabs that meet the user-defined information from the first set of slabs; obtaining threshold intervals of different production stages of a rolling period, and classifying the slabs of the second set of slabs according to the threshold intervals of different stages; and placing the classified slabs into corresponding positions of the rolling period sequence for rolling.

[0025] Based on the above embodiment, the database on the manufacturing management system server is connected to obtain the data of the slabs to be produced from the view corresponding to the slab inventory. The main slab information includes: slab number, slab length, slab width, slab thickness, slab weight, slab rolling width, slab rolling thickness, steelmaking mark, steelmaking temperature, brand, hardness group, post-process code, contract number, warehouse area number, material status, production time, delivery date, continuous pouring number, manufacturing order number, high collar mark, whole order mark, delay mark, emergency mark, key contract, difficult contract, etc.

[0026] Furthermore, the slab data with zero values ​​in the attribute values ​​of slab length, slab width, slab thickness, slab weight, slab rolling width, slab rolling thickness, tapping temperature, hardness group, etc. are eliminated, that is, the preset threshold is X>0; then the slab data that meets the production capacity of the unit is screened according to the single slab specification restriction rules. After that, the slab data is screened according to the dynamic additional rules entered by the user to obtain the slab data that meets the dynamic adjustment requirements, where the dynamic rule information includes: contract number, slab rolling width, slab rolling thickness, tapping mark, tapping temperature, brand, hardness group, output hours, delivery date, high collar mark, whole order mark, delay mark, emergency mark, key contract, difficult contract, etc.

[0027] Furthermore, the different production stages of the rolling period are hot rolling materials, transition materials, main rolling materials and secondary rolling materials, and the hot rolling materials, transition materials, main rolling materials and secondary rolling materials are all provided with corresponding threshold intervals. The slabs in the second slab set are respectively allocated to hot rolling materials, transition materials, main rolling materials and secondary rolling materials according to the corresponding threshold intervals. The slabs in the second slab set that meet the specifications of hot rolling materials are allocated to hot rolling materials, the slabs that meet the specifications of transition materials are allocated to transition materials, and the slabs that meet the specifications of main rolling materials are allocated to main rolling materials. The threshold interval includes the slab rolling width interval, the slab rolling thickness interval and the slab steel-out mark interval. Among them, different intervals of steel-out mark correspond to different rolling properties. The slabs in the same steel-out mark interval have similar rolling properties and can be allocated to the same rolling period sequence for rolling. The classified slabs are placed in the corresponding positions of the rolling period sequence for rolling to realize automatic classification of slabs and complete automatic rolling production. This scheduling method supports both automatic timed scheduling and manual assisted scheduling, which best fits the actual production situation on site and solves problems such as large workload of manual scheduling and fluctuations in scheduling quality.

[0028] According to some embodiments, the method further includes arranging the classified slabs from large to small according to data values, calculating a slab sequence that satisfies the inter-slab jump constraint, and sorting the slabs according to the slab sequence.

[0029] Based on the above embodiment, the slab data corresponding to the hot roll material, transition material, main rolling material, and secondary rolling material are sorted from large to small according to the attributes such as slab rolling thickness, slab rolling width, steel tapping temperature, steel tapping mark, and slab number, and then the slab sequence that meets the jump constraint between slabs is calculated in order. The calculation of the jump constraint between slabs includes: calculating the longest main rolling material and secondary rolling material sequence that meets the jump constraint between slabs from the slab data through the ant colony algorithm, and the longest sequence can improve the production output; calculating the hot roll material sequence that meets the jump constraint between slabs through the distance formula between two points; and calculating the transition material sequence that meets the jump constraint between slabs and has a smooth transition through the shortest path algorithm. Its role is that in order to ensure process quality and on-site control, the width and thickness changes of the two pieces of the slab before and after the rolling period cannot be too large, so all slabs need to be sorted according to the sorting rules to achieve a smooth transition of rolling specifications.

[0030] According to some embodiments, it also includes a same-width kilometer limit, a steel-out mark number limit, a surface separation kilometer limit, a roll period kilometer limit, and a roll period block number limit.

[0031] Based on the above embodiment, the slab sequence calculated by connecting the hot roll material, transition material, main rolling material, and secondary rolling material in order is subjected to secondary addition and deletion operations according to the constraints such as the same width kilometer limit, the number of steel-out marks limit, the surface separation kilometer limit, the roll period kilometer limit, and the roll period block number limit, and finally a roll period slab production sequence that meets the production requirements is obtained. Among them:

[0032] Limitation on kilometers of same width: The width of the finished product transitions to the same width within 50mm. When the thickness of the finished product is greater than or equal to 3.0mm, the maximum kilometers of same width is 35km. When the thickness of the finished product is less than 3.0mm, the maximum kilometers of same width is 30km.

[0033] Limitation on the number of steel-out marks: In order to reduce the impact of hot rolling sampling and frequent changes on the stability of hot rolling production, the number of steel-out marks in one rolling period is less than or equal to 10.

[0034] Surface sorting mileage limit: The maximum rolling mileage is limited according to the surface sorting level of the arranged steel grades.

[0035] Roll period mileage limit: the maximum length limit of the roll period slab sequence in different scheduling models.

[0036] Roll period block number limit: the maximum block number limit of the roll period slab sequence in different scheduling models.

[0037] The process of rolling slabs causes wear on the surfaces of the upper and lower rollers. If the same width is rolled for too long, the wear marks on the roller surface will become more obvious, and the quality of the rolled product cannot be guaranteed. Therefore, the same width cannot be too long. The maximum limit on the number of steel marks is required to reduce the quality loss caused by the performance differences between steel types. Therefore, the constraints such as the same width kilometer limit, the steel mark number limit, the surface separation kilometer limit, the roll period kilometer limit and the roll period block number limit are all for ensuring the quality of rolling.

[0038] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0039] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A rolling plan scheduling method based on intelligent algorithm, characterized in that: The method comprises: Acquire various data values ​​of the slabs to be produced, and select a first set of slabs that meets a preset threshold value from the various data values; the preset threshold value is greater than 0; Obtaining user-defined information, and selecting a second slab set that meets the user-defined information from the first slab set; The threshold intervals of different production stages of the rolling period are obtained, and the slabs of the second slab set are classified according to the threshold intervals of different stages; the threshold intervals include a slab rolling width interval, a slab rolling thickness interval, and a slab steel-out mark interval; the classification of the slabs of the second slab set specifically includes: different steel-out mark intervals correspond to different rolling properties, and slabs in the same steel-out mark interval have similar rolling properties and can be allocated to the same rolling period sequence; The classified slabs are placed into the corresponding positions of the roller sequence for rolling.

2. The method according to claim 1, characterized in that The method also includes obtaining a view of the slab to be produced, and obtaining various data values ​​of the corresponding slab according to the view.

3. The method according to claim 1, characterized in that The different stages of the rolling period are hot rolling material, transition material, main rolling material and secondary rolling material respectively. The hot rolling material, transition material, main rolling material and secondary rolling material are all provided with corresponding threshold intervals. The slabs in the second slab set are respectively allocated to hot rolling material, transition material, main rolling material and secondary rolling material according to the corresponding threshold intervals.

4. The method according to claim 3, characterized in that The threshold interval includes a slab rolling width interval, a slab rolling thickness interval and a slab steel-out marking interval.

5. The method according to claim 3, characterized in that: The method also includes arranging the classified slabs from large to small according to data values, calculating a slab sequence that satisfies the jump constraint between slabs, and sorting the slabs according to the slab sequence.

6. The method according to claim 5, characterized in that The calculation of the inter-slab jump constraint includes: The longest sequence of main and secondary rolling materials satisfying the jump constraint between slabs is calculated from the slab data by using the ant colony algorithm; The hot roller material sequence that satisfies the jump constraint between slabs is calculated through the distance formula between two points; The shortest path algorithm is used to calculate a smooth transition material sequence that satisfies the jump constraints between slabs.

7. The method according to claim 1, characterized in that It also includes restrictions on the number of kilometers of the same width, the number of steel-outmarking restrictions, the number of kilometers of surface separation, the number of kilometers of the roll period, and the number of blocks of the roll period.

8. The method according to claim 7, characterized in that The kilometers of same width are limited as follows: when the width of the finished product transitions to the same width within 50 mm, when the thickness of the finished product is greater than or equal to 3.0 mm, the maximum kilometers of same width is 35 km; when the thickness of the finished product is less than 3.0 mm, the maximum kilometers of same width is 30 km.

9. The method according to claim 7, characterized in that: The number of steel-out marks is limited to: the number of steel-out marks in one rolling plan is less than or equal to 10.

10. The method according to claim 1, characterized in that The preset threshold is X>0.

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