Integrated production management system and method for metal composite material

Abstract

The invention discloses a production comprehensive management system and method of a metal composite material, and relates to the technical field of metal processing management. The system comprises a matching analysis unit and an execution unit. The method comprises the following steps: firstly, acquiring production and processing records, and extracting a plurality of types of detection parameters of each historical batch of composite material workpieces, process parameters of each type in the production process and the qualified rate of the batch of finished products; matching to obtain a historical batch suitable for the current batch; according to the matched technological parameters of each type in the production process of each historical batch, the matching similarity between the current batch and each matched historical batch is obtained; according to the matched matching similarity of each historical batch and the technological parameters of each type in the production process, obtaining the technological parameters of each type in the production process of the current batch of composite material workpieces; and executing the technological parameters of each type in the production process of the current batch of composite materials. The qualified rate of finished products of the metal composite materials is increased.

Description

Technical Field

[0001] The present invention belongs to the technical field of metal processing management, and in particular relates to a comprehensive production management system and method for metal composite materials. Background Art

[0002] Metal composites are widely used in aerospace, automotive, electronics, energy equipment, and other fields due to their excellent overall performance (such as high strength, lightweight, corrosion resistance, and thermal and electrical conductivity). However, the preparation of existing metal composites involves multiple processes, such as rolling lamination. Different material combinations require adjustment of parameters (temperature, pressure, time, etc.). Traditional production relies on manual experience, making it difficult to achieve precise control and resulting in poor product consistency. Summary of the Invention

[0003] The object of the present invention is to provide a comprehensive production management system and method for metal composite materials, which can improve the qualified rate of finished products of metal composite materials by matching and optimizing the process parameters of metal composite materials.

[0004] To solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention provides a comprehensive production management method for metal composite materials, comprising:

[0006] Obtain production and processing records and extract several types of inspection parameters for each historical batch of composite material workpieces, each type of process parameter in the production process, and the qualified rate of finished products in the batch;

[0007] Obtaining several types of inspection parameters of the current batch of composite material workpieces;

[0008] Match and obtain several historical batches applicable to the current batch;

[0009] Obtain the matching similarity between the current batch and each matched historical batch based on each type of process parameter in the production process of each matched historical batch;

[0010] Each type of process parameter in the production process of the current batch of composite material workpieces is obtained according to the matching similarity of each matched historical batch and each type of process parameter in the production process.

[0011] The present invention also discloses a comprehensive production management method for metal composite materials, comprising:

[0012] Receiving process parameters of each type during the production of a current batch of composite workpieces;

[0013] Each type of process parameter is implemented during the current batch of composite material production.

[0014] The present invention also discloses a comprehensive production management system for metal composite materials, comprising:

[0015] A matching analysis unit is used to obtain production and processing records and extract several types of inspection parameters of each historical batch of composite material workpieces, each type of process parameter in the production process, and the qualified rate of finished products in the batch;

[0016] Obtaining several types of inspection parameters of the current batch of composite material workpieces;

[0017] Match and obtain several historical batches applicable to the current batch;

[0018] Obtain the matching similarity between the current batch and each matched historical batch based on each type of process parameter in the production process of each matched historical batch;

[0019] Obtaining each type of process parameter in the production process of the current batch of composite material workpieces according to the matching similarity of each matched historical batch and each type of process parameter in the production process;

[0020] An execution unit, configured to receive process parameters of each type during the production of a current batch of composite material workpieces;

[0021] Each type of process parameter is implemented during the current batch of composite material production.

[0022] The present invention obtains several historical batches suitable for the current batch through matching analysis units, thereby improving the applicability of each type of process parameters in the production process of the current batch of composite material workpieces, thereby optimizing the process parameters of the metal composite material and improving the qualified rate of the finished products of the metal composite material.

[0023] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative work.

[0025] Figure 1 A schematic diagram of the functional units and information flow of an integrated production management system for metal composite materials according to an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of a flow chart of steps of a matching analysis unit according to an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of a step flow chart of an execution unit according to an embodiment of the present invention;

[0028] Figure 4 This is a schematic diagram of the process flow of step S3 in one embodiment of the present invention;

[0029] Figure 5 This is a schematic diagram of the process flow of step S32 in one embodiment of the present invention;

[0030] Figure 6 This is a schematic diagram of the process flow of step S4 in one embodiment of the present invention;

[0031] Figure 7 This is a schematic diagram of the process flow of step S5 in one embodiment of the present invention;

[0032] In the accompanying drawings, the components represented by the reference numerals are as follows:

[0033] 1-Matching analysis unit, 2-Execution unit. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0035] It should be noted that the terms "first," "second," and the like in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are merely examples of devices and methods consistent with certain aspects of the present application as detailed in the appended claims.

[0036] This solution involves roll-bonding metal composites. Roll-bonding is a solid-state composite process that uses plastic deformation to create a metallurgical bond between two or more metal sheets under rolling pressure and a certain temperature. During the composite process, production line parameters must be adjusted based on the raw material characteristics to improve the composite process yield.

[0037] See also Figure 1 As shown, the present invention provides a comprehensive production management system for metal composite materials, which is divided into a matching analysis unit 1 and an execution unit 2. The matching analysis unit 1 reads the production and processing records to match the process parameters of the current batch, and the execution unit 2 is responsible for executing the processing.

[0038] See also Figures 1 to 2 As shown, the matching analysis unit 1 in this solution is used to subsequently execute step S1 to obtain production and processing records and extract several types of inspection parameters for each historical batch of composite workpieces, each type of process parameter during the production process, and the qualified rate of finished products for that batch. Types of inspection parameters for composite workpieces include surface roughness and oxide layer thickness, and types of process parameters during the production process include temperature, rolling speed, and rolling pressure. Next, step S2 can be executed to obtain several types of inspection parameters for the current batch of composite workpieces.

[0039] See also Figure 1 、 2 As shown in Figures 4 and 5, after obtaining the detection parameter data of the historical batches and the current batch of workpieces, batch matching can be performed, that is, step S3 can be executed to match and obtain several historical batches suitable for the current batch. Specifically, step S31 can be first executed to use the cumulative value of the difference in detection parameters of each type of composite workpieces of the two batches as the batch difference between the two batches, calculate the batch difference of any two historical batches, and quantify the difference between the batches. Next, step S32 can be executed to classify historical batches with consistent differences into the same batch combination based on the batch difference of any two historical batches. In the grouping process, step S321 can be first executed to select several historical batches as marked historical batches from all historical batches. Next, step S322 can be executed to calculate and obtain the batch difference between each marked historical batch and other historical batches. Next, step S323 can be executed to divide other historical batches other than each marked historical batch into the same batch combination with the marked historical batch with the smallest batch difference.

[0040] However, the differences between the historical batches included in the batch combinations obtained after the first grouping may not be consistent. Therefore, a determination is necessary. First, step S324 can be executed to calculate the mean of each type of detection parameter for all historical batches included in each batch combination. Next, step S325 can be executed to select the historical batch with the smallest batch difference between each type of detection parameter mean and all historical batches included in each batch combination as the newly selected marked historical batch. Next, step S326 can be executed to determine whether the newly selected marked historical batch has changed.

[0041] If so, it indicates that the historical batches included in the batch combination have consistent test parameters. Therefore, step S327 can be executed to obtain a batch combination with consistent differences. If not, it indicates that the historical batches included in the batch combination do not have consistent test parameters. Therefore, steps S322 to S323 can be executed to re-divide the batch combination based on the reselected marked historical batches. Steps S324 to S326 can then be executed to recalculate the marked historical batches and determine whether the reselected marked historical batches have changed, until a batch combination with consistent differences is obtained.

[0042] To supplement the implementation of steps S321 to S327, we provide the source code for some functional modules, with cross-references and explanations provided in the comments. To prevent the leakage of data involving commercial secrets, data that does not affect the implementation of the solution is desensitized. The same applies below.

[0043]

[0044]

[0045]

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[0047]

[0048] This code implements an improved grouping algorithm for batch grouping of metal composite materials. During operation, it first performs intelligent initialization, randomly selecting an initial marked batch to start the algorithm. Dynamic grouping is then performed, iteratively executing the "assign-recalculate center" process until convergence. Parameter weighting is then performed, using weighted Manhattan distance to comprehensively evaluate multiple quality metrics. Representative batches are then selected, with the nearest existing center batch serving as the representative for each group. Finally, stability determination is performed, and the batch change detection algorithm converges by marking the batches.

[0049] Through multiple iterations, historical batches with similar test parameter characteristics are automatically grouped together to form consistent batch combinations, providing a reliable data grouping foundation for subsequent production process optimization. The algorithm specifically designs a parameter weighting system tailored to the characteristics of metal composite materials, ensuring that key quality indicators are appropriately prioritized during the grouping process.

[0050] Please continue reading Figure 1 、 2As shown in Figure 4, after the historical batches are grouped, step S33 can be executed to extract the representative historical batch for each batch combination. The marked historical batch can be used as the representative historical batch. Finally, step S34 can be executed to select all historical batches included in the batch combination containing the representative historical batch with the smallest batch difference from the current batch as the historical batches applicable to the current batch.

[0051] See also Figure 1 、 2 As shown in Figure 6 , after matching historical batches suitable for the current batch, since there are slight differences in the detection parameters between different historical batches and the current batch, in order to quantify these slight differences, step S4 can be performed to determine the matching similarity between the current batch and each matched historical batch based on each type of process parameter in the production process of each matched historical batch. Specifically, step S41 can be performed to calculate the batch difference between the current batch and each matched historical batch. Then, step S42 can be performed to use the proportional coefficient between the batch difference between the current batch and each matched historical batch as the matching similarity between the current batch and each matched historical batch.

[0052] See also Figure 1 、 2 As shown in Figure 7, after quantifying the similarity of each matched historical batch, in order to fully consider the differentiated impact of different matched historical batches on the current batch, step S5 can be executed next to obtain each type of process parameter in the production process of the current batch of composite material workpieces based on the matching similarity of each matched historical batch and each type of process parameter in the production process. Specifically, step S51 can be first executed to use the matching similarity of each matched historical batch as a weighting coefficient. Next, step S52 can be executed to calculate and obtain the weighted mean of each type of process parameter in the production process of each matched historical batch as each type of process parameter in the production process of the current batch of composite material workpieces. In this process, the slight differences in the detection parameters of each matched historical batch and the current batch are fully taken into account, thereby further improving the applicability of the process parameters in the production process of the current batch of composite material workpieces.

[0053] See also Figures 1 to 3 As shown, the execution unit 2 in this solution can be a metal rolling composite workshop. During operation, step S021 can be executed to receive each type of process parameters in the production process of the current batch of composite workpieces. Then, step S022 can be executed to execute each type of process parameters in the production process of the current batch of composite workpieces.

[0054] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, systems, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a part for a module, program segment or instruction, and the part for the module, program segment or instruction comprises one or more executable instructions for realizing the logical function of the specification. In some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous boxes can actually be performed substantially in parallel, and they can sometimes also be performed in the opposite order, depending on the function involved.

[0055] It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented by hardware that performs the corresponding function or action, such as a circuit or ASIC (Application Specific Integrated Circuit), or can be implemented by a combination of hardware and software, such as firmware.

[0056] Although the present invention is described herein in conjunction with various embodiments, in the process of implementing the claimed invention, those skilled in the art can understand and implement other variations of the disclosed embodiments by reviewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple situations. A single processor or other unit can implement several functions listed in the claims. Certain measures are recorded in different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0057] The embodiments of the present application have been described above. The above description is illustrative and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons skilled in the art to understand the embodiments disclosed herein.

Claims

1. A comprehensive production management method for metal composite materials, characterized in that: include, Obtain production and processing records and extract several types of inspection parameters for each historical batch of composite material workpieces, each type of process parameter in the production process, and the qualified rate of finished products in the batch; Obtaining several types of inspection parameters of the current batch of composite material workpieces; Match and obtain several historical batches applicable to the current batch; Obtain the matching similarity between the current batch and each matched historical batch based on each type of process parameter in the production process of each matched historical batch; Each type of process parameter in the production process of the current batch of composite material workpieces is obtained according to the matching similarity of each matched historical batch and each type of process parameter in the production process.

2. The method according to claim 1, characterized in that Types of inspection parameters for composite workpieces include surface roughness and / or oxide layer thickness; Types of process parameters during production include temperature, rolling speed and / or rolling pressure.

3. The method according to claim 1 or 2, characterized in that The matching step is to obtain several historical batches applicable to the current batch, include, The cumulative value of the difference in detection parameters of each type of composite material workpieces between the two batches is used as the batch difference between the two batches, and the batch difference between any two historical batches is calculated; According to the batch difference between any two historical batches, historical batches with consistent differences are classified into the same batch combination; Extract the representative historical batches of each batch combination; All historical batches included in the batch combination of the representative historical batch with the smallest batch difference from the current batch are regarded as several historical batches applicable to the current batch.

4. The method according to claim 3, characterized in that The step of classifying historical batches with consistent differences into the same batch combination according to the batch difference between any two historical batches includes: Select several historical batches from all historical batches as marked historical batches; Calculate the batch difference between each marked historical batch and other historical batches; For each historical batch other than the marked historical batch, it is divided into the same batch combination as the marked historical batch with the smallest batch difference.

5. The method according to claim 4, characterized in that The step of classifying historical batches with consistent differences into the same batch combination according to the batch difference between any two historical batches also includes: Calculate and obtain the mean value of each type of detection parameters of all historical batches contained in each batch combination; The historical batch with the smallest batch difference between the mean of each type of detection parameter of all the historical batches included in each batch combination is used as the re-selected marked historical batch; Determine whether the reselected marked history batch has changed; If so, a batch combination with consistent differences will be obtained; If not, the batch combination is re-divided according to the re-selected marked historical batch; Recalculate to obtain the marked historical batches and determine whether the reselected marked historical batches have changed, until a batch combination with consistent differences is obtained.

6. The method according to claim 4 or 5, characterized in that The step of extracting the representative historical batch of each batch combination, include, The historical batch will be marked as a representative historical batch.

7. The method according to claim 1, characterized in that The step of obtaining the matching similarity between the current batch and each matched historical batch based on each type of process parameter in the production process of each matched historical batch includes: Calculate the batch difference between the current batch and each matched historical batch; The proportional coefficient between the batch difference between the current batch and each matched historical batch is used as the matching similarity between the current batch and each matched historical batch.

8. The method according to claim 1 or 7, characterized in that The step of obtaining each type of process parameter in the production process of the current batch of composite material workpieces according to the matching similarity of each matched historical batch and each type of process parameter in the production process, include, Using the matching similarity of each matched historical batch as a weighting coefficient; The weighted mean of each type of process parameter in each matched historical batch production process is calculated and obtained as each type of process parameter in the current batch of composite material workpiece production process.

9. A comprehensive production management method for metal composite materials, characterized in that: include, receiving each type of process parameter in the production process of a current batch of composite material workpieces in the comprehensive production management method of metal composite materials according to any one of claims 1 to 8; Each type of process parameter is implemented during the current batch of composite material production.

10. A comprehensive production management system for metal composite materials, characterized in that: include, A matching analysis unit is used to obtain production and processing records and extract several types of inspection parameters of each historical batch of composite material workpieces, each type of process parameter in the production process, and the qualified rate of finished products in the batch; Obtaining several types of inspection parameters of the current batch of composite material workpieces; Match and obtain several historical batches applicable to the current batch; Obtain the matching similarity between the current batch and each matched historical batch based on each type of process parameter in the production process of each matched historical batch; Obtaining each type of process parameter in the production process of the current batch of composite material workpieces according to the matching similarity of each matched historical batch and each type of process parameter in the production process; An execution unit, configured to receive process parameters of each type during the production of a current batch of composite material workpieces; Each type of process parameter is implemented during the current batch of composite material production.

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