Efficient low-consumption oriented cold-rolled product order receiving optimization method

By using the precast blank quality design control idea in the cold-rolled product order reception process, and using the finishing calculation matching model to optimize resource configuration, the low utilization efficiency and residual material problems in cold-rolled product order reception are solved, and the quality of the blank is achieved Maximize design and improve production efficiency.

CN119417113APending Publication Date: 2025-02-11SD STEEL RIZHAO CO LTD
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Patent Information

Application Number
CN202411452356.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-17
Publication Date
2025-02-11

AI Technical Summary

Technical Problem

During the ordering process of existing cold rolled products, the quality of the casting blank and the weight of the sub-roll are not accurately considered, resulting in low efficiency of the casting blank or the problem of residual material.

Method used

By prefixing the control idea of ​​the casting quality design link to the order reception link, using the finishing calculation matching model, giving an optimal solution for resource allocation, negotiating and determining the total order quantity and sub-roll weight to maximize the quality of the casting line design.

Benefits of technology

The quality design efficiency of casting billets is improved, the utilization efficiency of blanks is maximized, energy consumption and material yield loss is reduced, and the overall production efficiency is improved and manufacturing costs are reduced.

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Abstract

The invention relates to the technical field of cold-rolled strip steel quality design, and particularly discloses a high-efficiency low-consumption oriented cold-rolled product order receiving optimization method, which comprises the following steps: S1, obtaining order basic information; s2, the maximum casting blank weight Wmax0 and the finished product mother roll weight Wmax are read; s3, calculating the number delta of casting blanks fed according to the weight of the order; s4, calculating an order quantity recommendation value, and negotiating with the user to determine an order quantity W '; s5, the number delta'of casting blanks fed after the order weight is revised is calculated, and the maximum casting blank mass Wmax 'is designed; s6, providing an upper limit Wsub1'and a lower limit Wsub2 'of the weight of different optimal sub-volumes for the user according to the number x of the sub-volumes; s7, negotiating with the user to determine the upper and lower limits of the order sub-volume, and completing the order receiving optimization work; part of requirements of the casting blank quality design link are preposed to the order receiving link, and the casting blank quality design efficiency is improved; the rolling rhythm in the production process is improved, the production efficiency is integrally and effectively improved, and the manufacturing cost is reduced.
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Description

Technical Field

[0001] The invention relates to the technical field of cold-rolled strip quality design, and in particular to a high-efficiency and low-consumption oriented cold-rolled product order optimization method. Background Art

[0002] Production based on orders has become a conventional production organization model for steel companies. In order to solve the contradiction between user customization needs and large-scale production, steel companies need to continuously optimize the quality design of ingots. Especially for cold-rolled products, because of the many customized needs of steel types, specifications, surface treatments, thickness and width accuracy, it is difficult to merge the materials of different orders into one ingot. One order can be divided into multiple ingots, and one ingot will not correspond to multiple orders.

[0003] The order weight of cold-rolled products and the weight range of a single coil are important agreed terms in the contract, which involve the user's logistics, warehousing, lifting, uncoiling and other capabilities. For steel companies, they affect production efficiency and costs.

[0004] An unreasonable sub-roll weight range may lead to low utilization efficiency of the billet when designing the billet according to the sub-roll multiples; designing according to the maximum billet weight may lead to excess material. For example, for a 1250mm wide strip, the maximum billet weight is 28 tons, the sub-roll weight range is 7-9 tons, the parent roll weight is generally 21-27 tons, and the user's order weight is 50 tons. The usual billet design idea is:

[0005] (1) Designed based on two slabs, each weighing 25 tons, the slab utilization efficiency is only 89%.

[0006] (2) Designed based on the weight of two maximum ingots, the remaining material produced is at least 28*2-50=6 tons.

[0007] Following the "user-centric" principle, steel companies generally follow the above example and design the ingot quality while satisfying the user's sub-roll weight and total order volume. This results in the complication of ingot quality design, which may lead to adverse consequences such as low production efficiency and material waste.

[0008] If the billet quality designed for a single order can reach the upper limit of the billet quality of the steel grade specification, the billet utilization efficiency can be maximized, which is beneficial to improving the rolling rhythm, reducing energy consumption and yield loss, etc. The existing solution is only for users with small batch orders, and gives a rough recommended order quantity range for different widths, which cannot accurately solve the problem of billet utilization efficiency.

[0009] Therefore, there is an urgent need to design an optimization method for cold-rolled product order acceptance with high efficiency and low consumption as the guide. The technical problem to be solved is that in the existing cold-rolled product order acceptance process, the quality of the ingot and the weight of the sub-coil are not accurately considered. Therefore, in the process of designing the ingot according to the sub-coil multiples, it may lead to low inefficiency of ingot utilization, while designing according to the maximum ingot quality may lead to the problem of waste material. Summary of the invention

[0010] In view of the problems existing in the prior art, the purpose of the present invention is to provide a cold-rolled product order optimization method oriented towards high efficiency and low consumption, and to put the control idea requirements of the ingot quality design link in front of the order acceptance link. For users who are insensitive to the unit weight of the steel coil or who can adjust the total order volume, the optimal resource allocation solution is given through the fine measurement and matching model. After consultation with the user, the total order volume and sub-coil unit weight that are conducive to maximizing the ingot quality design are strived for. While simplifying the ingot quality design, the rolling rhythm of the production process is improved, energy consumption and yield rate loss are reduced, etc., which will effectively improve production efficiency and reduce manufacturing costs as a whole.

[0011] The technical solution adopted by the present invention to solve the technical problem is: a high-efficiency and low-consumption oriented cold-rolled product order optimization method, comprising the following steps:

[0012] S1. Obtain basic order information;

[0013] S2, reading the maximized ingot weight Wmax0 and the finished mother coil weight Wmax;

[0014] S3, calculating the number of billets δ of the order weight;

[0015] S4, calculate the recommended order quantity and negotiate with the user to determine the order quantity W';

[0016] S5. Calculate the number of billets δ' after revising the order weight, and design the maximum billet mass Wmax';

[0017] S6. Provide different optimal sub-volume weight upper limits Wsub1' and lower limits Wsub2' for the user according to the number of sub-volumes x;

[0018] S7. Negotiate with the user to determine the upper and lower limits of the order sub-volume and complete the order optimization work.

[0019] Specifically, the basic order information in step S1 includes but is not limited to order weight W, delivery tolerance ε, steel type and specification.

[0020] Specifically, the number of billets fed in step S3 is It is the order weight W divided by the finished product mother roll weight Wmax, rounded down to the integer; the corresponding calculation of single blank utilization coefficient η = W / δ / Wmax0 / μ1 / μ2 / μ3 = W / δ / Wmax.

[0021] Specifically, the maximized ingot is designed according to the maximum ingot utilization coefficient, and the recommended value of the incremental order closest to the order quantity is W1=Wmax*δ; the recommended value of the reduced order is W2=Wmax*(δ-1); the closer the order quantity W' revised by negotiation with the user is to the recommended value of the incremental order W1 or the recommended value of the reduced order W2, the more conducive it is to obtaining a larger ingot utilization coefficient, and the deviation value is controlled within the delivery tolerance range.

[0022] Specifically, the calculation method of the number of billets δ' and the maximum billet mass Wmax' in step S5 is: if |W'-(W' / Wmax)*Wmax|≤ε, then δ'=(W' / Wmax), and the designed billet mass Wmax'=Wmax;

[0023] If |W'-(W' / Wmax)*Wmax|>ε, then Designed billet mass Wmax' = (W' + ε) / δ'.

[0024] Specifically, the optimal sub-volume weight upper limit in step S6 is

[0025] Optimal sub-volume weight minimum

[0026] Specifically, in step S7, the upper limit of the order sub-volume is determined by negotiation with the user to be not less than the upper limit of the optimal sub-volume weight Wsub1', the lower limit of the order sub-volume is determined by negotiation with the user to be not greater than the lower limit of the optimal sub-volume weight Wsub2', and a solution with fewer sub-volumes is selected.

[0027] The present invention has the following beneficial effects:

[0028] The high-efficiency and low-consumption oriented cold-rolled product order-taking optimization method designed in the present invention advances some requirements of the ingot quality design link to the order-taking link, thereby resolving problems such as low ingot utilization efficiency and unreasonable sub-coil weight requirements from the source, thereby improving the ingot quality design efficiency.

[0029] The high-efficiency and low-consumption oriented cold-rolled product order optimization method designed by the present invention aims to maximize the utilization efficiency of billets, comprehensively considers the order weight and the sub-coil weight range, improves the rolling rhythm of the production process, reduces energy consumption and yield loss, etc., which will effectively improve production efficiency and reduce manufacturing costs as a whole.

[0030] The high-efficiency and low-consumption oriented cold-rolled product order optimization method designed by the present invention provides marketing order-taking personnel with an accurate optimization plan for the sub-roll weight range and order weight that meets user needs, thereby improving the efficiency of marketing personnel in serving users. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of the cold-rolled product order optimization method oriented towards high efficiency and low consumption. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely further describe the technical solutions in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, a high-efficiency and low-consumption oriented cold-rolled product order optimization method comprises the following steps:

[0034] 1. Obtain basic order information:

[0035] Enter the user's initial order weight W and delivery tolerance ε.

[0036] Enter the upper limit Wsub1 and lower limit Wsub2 of the sub-volume weight range initially determined by the user.

[0037] Enter the cold rolled product category code required for the order: such as GHA pickled, GHB hardened, GHC normal cold rolled, GHD galvanized.

[0038] Enter the cold rolled product steel grade code required for the order: for example, GHC01 represents general cold rolled DC01, and GHC02 represents general cold rolled DC02.

[0039] Enter the cold-rolled product strip thickness height required for the order: such as 0.5mm, 1.2mm.

[0040] Enter the cold-rolled product strip width required for the order: such as 1000mm, 1200mm, 1500mm.

[0041] Enter the width tolerance a of the cold-rolled product strip width required by the order: such as 3mm, 5mm.

[0042] Enter the trimming process of the cold rolled products required by the order, such as trimming in the pickling process, trimming in the finished product process, or no trimming.

[0043] 2. Read the calculation results of the maximum ingot weight and finished product mother coil weight. The maximum ingot weight Wmax0 and the maximum finished product mother coil weight Wmax within the range allowed by the equipment capacity are accurate to 0.01 tons. Wmax=Wmax0*μ1*μ2*μ3*... μ1, μ2, μ3,... are the yield loss of the ingot after hot rolling, acid rolling, continuous annealing / galvanizing and other manufacturing processes.

[0044] 3. Calculate the number of billets to be cast for the order weight, It is the order weight W divided by the finished product mother roll weight Wmax, rounded down to the nearest integer.

[0045] The corresponding calculation of single blank utilization coefficient η = W / δ / Wmax0 / μ1 / μ2 / μ3 = W / δ / Wmax.

[0046] 4. Calculate the recommended order quantity and negotiate with the user to determine the order quantity W'; design according to the maximum billet utilization coefficient, the recommended incremental order value W1=Wmax*δ that is closest to the order quantity; the recommended reduced order value W2=Wmax*(δ-1); the closer the revised order quantity W' negotiated with the user is to the recommended incremental order value W1 or the recommended reduced order value W2, the more conducive it is to obtaining a larger billet utilization coefficient, and the deviation value is controlled within the delivery tolerance range.

[0047] 5. After the order weight W' negotiated with the user is determined, calculate the number of billets δ' after the revised order weight, and design the maximum billet quality Wmax'; the calculation method of the number of billets δ' and the maximum billet quality Wmax' is:

[0048] (1) If |W'-(W' / Wmax)*Wmax|≤ε, then δ'=(W' / Wmax), and the designed billet mass Wmax'=Wmax;

[0049] (2) If |W'-(W' / Wmax)*Wmax|>ε, then Designed billet mass Wmax' = (W' + ε) / δ'.

[0050] 6. Provide different optimal sub-volume weight upper and lower limits Wsub1' and Wsub2' for the user according to the number of sub-volumes x.

[0051] Considering the control accuracy of the rolls, etc., the difference between the upper and lower limits is selected to be no less than y tons, and y=2 is generally selected.

[0052] That is, (Wmax / xy / 2) is rounded upward.

[0053] That is, (Wmax / xy / 2) is rounded down to an integer.

[0054] 7. Negotiate with the user to determine the upper and lower limits of the order sub-rolls. Negotiate with the user to determine that the upper limit of the order sub-roll is not less than the upper limit of the optimal sub-roll weight Wsub1', and negotiate with the user to determine that the lower limit of the order sub-roll is not greater than the lower limit of the optimal sub-roll weight Wsub2', and select a plan with fewer sub-rolls to complete the order optimization work. This can reduce the risk of subsequent sub-roll disqualification. Try to select as few sub-rolls as possible, which is conducive to reducing the number of sub-rolls and reducing manufacturing and packaging costs.

[0055] like Figure 1 As shown, taking a common cold-rolled DC05 steel grade 0.7*1250mm specification order as an example, a detailed explanation is given.

[0056] 1. Get the basic order information, enter the initial order weight W = 90 tons; delivery tolerance ε = 5 tons; required cold-rolled product category code GHC general cold; enter the cold-rolled product steel grade code GHC05 required by the order; enter the cold-rolled product strip thickness height = 1.2mm required by the order; enter the cold-rolled product strip width width = 1250mm required by the order; enter the width tolerance a = 5mm of the cold-rolled product strip width required by the order; enter the trimming process of the cold-rolled product required by the order as finished product trimming process.

[0057] 2. Based on the above information, the maximum ingot weight Wmax0=27.16 tons and the maximum finished coil weight Wmax=25.95 tons within the range allowed by the reading equipment capacity are obtained.

[0058] 3. Calculate the number of billets to be cast based on the current order weight

[0059] The corresponding calculation of single blank utilization coefficient η=90 / 4 / 25.95=86.7%.

[0060] 4. Designed according to the maximum billet utilization coefficient, the recommended value for the incremental order closest to the order quantity is W1 = 25.95*4 = 103.8 tons; the recommended value for the reduced order is W2 = 25.95*(4-1) = 77.85 tons

[0061] According to the principle of approaching the "incremental order recommended value W1" or the "reduced order recommended value W2", negotiate with the user and use the following two common situations as examples:

[0062] (1) The user agrees to increase the order by 10 tons, and the revised order quantity W' = 100 tons.

[0063] Since |W'-[W' / Wmax]*Wmax|=|100-[100 / 25.95]*25.95|=3.8≤5, δ'=[W' / Wmax]=4. The designed billet mass Wmax'=Wmax=25.95 tons.

[0064] Considering the control accuracy of the sub-roll, the upper and lower limits of the sub-roll should be no less than 2 tons. Lower limit The calculation results corresponding to the number of sub-volumes 1-4 are as follows:

[0065] Number of sub-volumes Sub-roll weight lower limit / t Sub-roll weight limit / t Target roll weight / t 1 24 27 25.95 2 11 14 12.98 3 7 10 8.65 4 5 8 6.49 ... ... ... ...

[0066] After communicating with the user, it was found that the maximum coil weight of the lifting equipment used by the user during the use of the steel coil cannot exceed 15 tons, and the user expects the largest coil possible to be delivered. After negotiation, the solution of 2 sub-coils was selected, and the sub-coil weight range was [11,15].

[0067] For this steel specification, compared with the 90-ton order volume, after the user's order volume increased to 100 tons, the billet utilization factor increased from 86.7% to 100%, which is conducive to improving the efficiency of hot and cold rolling, reducing the loss of yield rate, and reducing manufacturing costs. In addition, the number of sub-rolls and the weight of sub-rolls are communicated with the user in advance to avoid subsequent reeling problems, which is more in line with user requirements.

[0068] (2) If the user insists on keeping the order quantity at 90 tons, since |W'-[W' / Wmax]*Wmax|=|90-[90 / 25.95]*25.95|=13.8>5, then Designed billet mass WWmax' = (W' + ε) / δ' = 23.75 tons.

[0069] Considering the control accuracy of the sub-roll, the upper and lower limits of the sub-roll should be no less than 2 tons. Lower limit The calculation results corresponding to the number of sub-volumes 1-4 are as follows:

[0070] Sub-roll number Sub-roll weight lower limit / t Sub-roll weight upper limit / t Target roll weight / t

[0071] Number of sub-volumes Sub-roll weight lower limit / t Sub-roll weight limit / t Target roll weight / t 1 22 25 23.75 2 10 13 11.88 3 6 9 7.92 4 4 7 5.94 ... ... ... ...

[0072] After communicating with the user, it was found that the maximum coil weight of the lifting equipment used by the user during the use of the steel coil cannot exceed 10 tons, and the user expects the largest coil possible to be delivered. After negotiation, the three sub-coils solution was selected, and the sub-coil weight range was [6,10].

[0073] In this case, the billet quality is designed after considering the delivery tolerance, and the billet utilization factor is increased from 86.7% to 91.5%, which is conducive to improving the efficiency of hot and cold rolling, reducing the loss of yield rate, and reducing manufacturing costs. In addition, the number of sub-rolls and the weight of sub-rolls are communicated with the user in advance to avoid subsequent reeling problems, which is more in line with user requirements.

[0074] The present invention is not limited to the above-mentioned implementation modes, and anyone should be aware of the structural changes made under the enlightenment of the present invention, and all those having the same or similar technical solutions as the present invention fall within the protection scope of the present invention.

[0075] The techniques, shapes, and structural parts not described in detail in the present invention are all well-known techniques.

Claims

1. A high-efficiency and low-consumption oriented cold-rolled product order optimization method, characterized in that: The following steps are involved: S1. Obtain basic order information; S2, reading the maximized ingot weight Wmax0 and the finished product mother coil weight Wmax; S3, calculating the number of billets δ of the order weight; S4, calculate the recommended order quantity and negotiate with the user to determine the order quantity W'; S5. Calculate the number of billets δ' after revising the order weight, and design the maximum billet mass Wmax'; S6. Provide different optimal sub-volume weight upper limits Wsub1' and lower limits Wsub2' for the user according to the number of sub-volumes x; S7. Negotiate with the user to determine the upper and lower limits of the order sub-volume and complete the order optimization work.

2. The high-efficiency and low-consumption oriented cold-rolled product order optimization method according to claim 1 is characterized in that: The basic order information in step S1 includes but is not limited to order weight W, delivery tolerance ε, steel type and specification.

3. The high-efficiency and low-consumption oriented cold-rolled product order optimization method according to claim 2 is characterized in that: The number of billets fed in step S3 The order weight W divided by the finished product mother roll weight Wmax is rounded down to an integer; The corresponding calculation of single blank utilization coefficient η = W / δ / Wmax0 / μ1 / μ2 / μ3 = W / δ / Wmax.

4. The high-efficiency and low-consumption oriented cold-rolled product order optimization method according to claim 2 is characterized in that: The maximized billet is designed according to the maximum billet utilization coefficient, and the recommended value of the incremental order closest to the order quantity is W1=Wmax*δ; the recommended value of the reduced order is W2=Wmax*(δ-1); The closer the order quantity W' negotiated and revised with the user is to the incremental order recommended value W1 or the reduced order recommended value W2, the more conducive it is to obtaining a larger blank utilization factor, and the deviation value is controlled within the delivery tolerance range.

5. The high-efficiency and low-consumption oriented cold-rolled product order optimization method according to claim 2 is characterized in that: The calculation method of the number of billets δ' and the maximum billet mass Wmax' in step S5 is: if |W'-(W' / Wmax)*Wmax|≤ε, then δ'=(W' / Wmax), and the designed billet mass Wmax'=Wmax; If |W'-(W' / Wmax)*Wmax|>ε, then Designed billet mass Wmax' = (W' + ε) / δ'.

6. The high-efficiency and low-consumption oriented cold-rolled product order optimization method according to claim 1 is characterized in that: The optimal sub-volume weight upper limit in step S6 Optimal sub-volume weight minimum 7. The high-efficiency and low-consumption oriented cold-rolled product order optimization method according to claim 6 is characterized in that: In step S7, the upper limit of the order sub-volume is determined by negotiation with the user to be not less than the upper limit of the optimal sub-volume weight Wsub1', the lower limit of the order sub-volume is determined by negotiation with the user to be not greater than the lower limit of the optimal sub-volume weight Wsub2', and a solution with fewer sub-volumes is selected.