Method and device for analyzing and adjusting mechanical property margin of steel product

Abstract

The embodiment of the application provides a steel product mechanical property margin analysis adjustment method and device, relates to the product performance analysis technical field, and the method comprises the following steps: confirming the margin of product mechanical property data based on process capability statistics of product mechanical property data; setting an adjustment target of the margin, and adjusting the margin based on process parameters in a steel manufacturing process; and analyzing whether the adjusted margin meets adjustment requirements. The technical scheme of the application realizes the analysis of product mechanical performance through the margin of product mechanical performance, and realizes the adjustment of product mechanical performance through the adjustment of the margin, so that the product performance stability level is improved.

Description

Technical Field

[0001] This application relates to the field of product performance analysis technology, and more specifically, to a method and apparatus for analyzing and adjusting the mechanical property margin of steel products. Background Technology

[0002] The mechanical properties of a product are an important indicator for product manufacturing control. They directly affect whether the product is ready for shipment and the stability of use for users, thus determining the product's core competitiveness.

[0003] In existing technologies, stability analysis for product mechanical performance control is usually conducted through multiple systems and external analysis software. This approach fails to provide convenient and efficient analysis of product data, and it also fails to improve the level of product performance stability control through adjustments made after analysis. Summary of the Invention

[0004] The embodiments of this application provide a method and apparatus for analyzing and adjusting the mechanical property margin of steel products. By identifying the mechanical properties of the product in a data-driven manner, the margin of the product's mechanical properties is digitized, thereby completing the analysis of the product's mechanical properties and the adjustment of the margin.

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

[0006] According to a first aspect of the embodiments of this application, a method for adjusting the mechanical property margin of steel products is provided, including:

[0007] The margin of the product mechanical performance data is confirmed by the process capability statistics based on the product mechanical performance data.

[0008] The allowance is adjusted based on the process parameters in the steel manufacturing process;

[0009] Set the adjustment target for the margin and analyze whether the adjusted margin meets the adjustment requirements.

[0010] In some embodiments of this application, based on the foregoing scheme, the determination of product mechanical property margins based on process capability statistics of mechanical properties includes:

[0011] Based on the process capability statistics of product mechanical performance data, we can confirm the process capability characteristics of product mechanical performance data, confirm the distribution characteristics of product mechanical performance data, and confirm the relationship between product mechanical performance data and specification limits.

[0012] Based on the process capability characteristics, distribution features, and relationship with the upper and lower limits of the product's mechanical performance data, determine whether there is any margin in the product's mechanical performance data.

[0013] In some embodiments of this application, based on the aforementioned scheme, the process capability characteristics of the product mechanical performance data are confirmed based on the process capability statistics of the product mechanical performance data, including:

[0014] Confirm the CPK of the product's mechanical performance data. Make a judgment based on the CPK. When the CPK is greater than the set value, it means that the process capability of the product's mechanical performance data is stable. When the CPK is less than or equal to the set value, it means that the process capability of the product's mechanical performance data is insufficient.

[0015] In some embodiments of this application, based on the aforementioned scheme and the process capability statistics of the product mechanical performance data, the distribution characteristics of the product mechanical performance data are confirmed, including:

[0016] Confirm the specification limit median, median, and specification limit decimal places of the product's mechanical performance data;

[0017] When the median value minus the median of the specification limit is greater than or equal to the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the lower specification limit;

[0018] When the median minus the median of the specification limit is greater than the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the upper limit of the specification.

[0019] When the median value minus the specified limit is less than a tenth of the specified limit, or when the median value minus the specified limit is less than or equal to a tenth of the specified limit, the distribution characteristic of the product mechanical property data is centered.

[0020] In some embodiments of this application, based on the aforementioned scheme and process capability statistics of product mechanical performance data, the relationship between product mechanical performance data and specification upper and lower limits is confirmed, including:

[0021] Confirm the upper and lower limits of the product's mechanical performance data;

[0022] When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data is within the range of the upper and lower limits of the specification.

[0023] When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds both the lower limit and the upper limit of the specification.

[0024] When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the lower limit of the specification.

[0025] When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the upper limit of the specification.

[0026] In some embodiments of this application, based on the foregoing scheme, confirming whether there is a margin in the product mechanical performance data according to the process capability characteristics, distribution characteristics, and relationship with the upper and lower limits of the specification data includes:

[0027] When the process capability of the product's mechanical performance data is stable, the distribution characteristics are centered, and it is within the upper and lower limits of the specification, it is determined that the product's mechanical performance data has a margin.

[0028] When the process capability of the product mechanical performance data is stable, the distribution characteristic is biased towards the upper limit of the specification, and the product mechanical performance data exceeds the upper limit of the specification but does not exceed the lower limit of the specification, it is determined that the product mechanical performance data has a margin.

[0029] When the process capability of the product mechanical performance data is stable, the distribution characteristic is biased towards the lower limit of the specification, and the product mechanical performance data exceeds the lower limit of the specification but does not exceed the upper limit of the specification, it is determined that the product mechanical performance data has a margin.

[0030] In some embodiments of this application, based on the foregoing scheme, setting the adjustment target for the margin includes:

[0031] Based on customer needs, the product's mechanical performance indicators are set as the adjustment target for the margin, and the range of the margin adjustment target is set.

[0032] In some embodiments of this application, based on the foregoing scheme, adjusting the allowance based on process parameters in the steel manufacturing process includes:

[0033] Analyze the correlation between the process parameters and the mechanical properties of the product;

[0034] Based on the correlation between the process parameters and the mechanical properties of the product, the process parameters that affect the mechanical properties of the product are identified and recorded as key process parameters.

[0035] Adjust the data values ​​of key process parameters to adjust the margin.

[0036] In some embodiments of this application, based on the foregoing scheme, the analysis of whether the adjusted margin meets the adjustment requirements includes:

[0037] The adjusted margin is compared with the target range of the margin adjustment. If the adjusted margin is within the target range of the margin adjustment, it is determined that the margin meets the adjustment requirements; otherwise, it does not.

[0038] According to a second aspect of the embodiments of this application, a device for analyzing and adjusting the mechanical property margin of steel products is provided, comprising:

[0039] The verification unit is used to verify the margin of the product's mechanical performance data based on the process capability statistics of the product's mechanical performance data.

[0040] The adjustment target setting unit is used to set the adjustment target for the margin;

[0041] An adjustment unit is used to adjust the allowance based on process parameters in the steel manufacturing process;

[0042] The analysis unit is used to analyze whether the adjusted margin meets the adjustment requirements.

[0043] According to a third aspect of the embodiments of this application, a computer-readable storage medium is provided, wherein computer instructions are stored on the computer, and when the computer instructions are executed on the computer, the computer performs the method described in the first aspect above.

[0044] According to a fourth aspect of the embodiments of this application, an electronic device is provided, including a memory and a processor;

[0045] The memory is used to store instructions;

[0046] The processor is configured to invoke instructions in the memory to cause the electronic device to execute the method described in the first aspect above.

[0047] The technical solution of this application analyzes the mechanical properties of a product by using the margin of its mechanical properties, and adjusts the mechanical properties of the product by adjusting the margin, thereby improving the stability of the product's performance.

[0048] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0049] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0050] Figure 1 A flowchart illustrating a method for adjusting the mechanical property margin of steel products according to an embodiment of this application is shown.

[0051] Figure 2 A schematic diagram showing the distribution characteristics of product mechanical performance data according to one embodiment of this application is biased towards the lower limit of the specification;

[0052] Figure 3 A schematic diagram illustrating the distribution characteristics of product mechanical performance data according to one embodiment of this application, which is biased towards the upper limit of specifications;

[0053] Figure 4 A schematic diagram showing the centered distribution characteristics of product mechanical performance data according to an embodiment of this application is provided.

[0054] Figure 5 A schematic diagram showing product mechanical performance data within the upper and lower limits of specifications according to an embodiment of this application is illustrated.

[0055] Figure 6 A schematic diagram is shown illustrating that the mechanical performance data of a product according to an embodiment of this application exceeds both the lower and upper limits of the specification.

[0056] Figure 7 A schematic diagram showing that the mechanical performance data of a product according to one embodiment of this application exceeds the lower limit of the specification is illustrated;

[0057] Figure 8 A schematic diagram showing that the mechanical performance data of a product according to one embodiment of this application exceeds the specification limit is illustrated;

[0058] Figure 9 This illustration shows a schematic diagram of the product mechanical performance data having a margin when the process capability of the product mechanical performance data is stable, the distribution characteristics are central, and it is within the upper and lower limits of the specification, according to an embodiment of this application;

[0059] Figure 10 This illustration shows a schematic diagram of a product mechanical performance data having a margin when the process capability of the product mechanical performance data is stable, the distribution characteristics are biased towards the upper limit of the specification, and the product mechanical performance data exceeds the upper limit of the specification but does not exceed the lower limit of the specification, according to an embodiment of this application.

[0060] Figure 11 This illustration shows a schematic diagram of a product mechanical performance data having a margin when the process capability of the product mechanical performance data is stable, the distribution characteristics are biased towards the lower limit of the specification, and the product mechanical performance data exceeds the lower limit of the specification but does not exceed the upper limit of the specification, according to an embodiment of this application.

[0061] Figure 12 A block diagram of a steel product mechanical property margin analysis and adjustment device according to an embodiment of this application is shown;

[0062] Figure 13A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0063] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0064] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0065] 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 can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0066] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0067] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0068] The following detailed description of some embodiments of this application will be provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0069] See Figure 1 The diagram shows a flowchart of a method for adjusting the mechanical property margin of steel products according to an embodiment of this application.

[0070] like Figure 1 As shown, a method for adjusting the mechanical property margin of steel products is presented, specifically including steps S100 to S300.

[0071] Step S100: Confirm the margin of the product mechanical performance data based on the process capability statistics of the product mechanical performance data.

[0072] It should be noted that, in this embodiment, the process capability statistics specifically include the median, mean, CPK, upper and lower specification limits, median specification limit, standard deviation, upper limit of 3 times standard deviation (mean + 3 times standard deviation), and lower limit of 3 times standard deviation (mean - 3 times standard deviation).

[0073] In some feasible embodiments, step S100 specifically includes:

[0074] Based on the process capability statistics of product mechanical performance data, we can confirm the process capability characteristics of product mechanical performance data, confirm the distribution characteristics of product mechanical performance data, and confirm the relationship between product mechanical performance data and specification limits.

[0075] Based on the process capability characteristics, distribution features, and relationship with the upper and lower limits of the product's mechanical performance data, determine whether there is any margin in the product's mechanical performance data.

[0076] It is understood that the process capability statistics in this embodiment include median, mean, CPK, upper and lower limits of specifications, median of specification limits, standard deviation, upper limit of 3 times standard deviation (mean + 3 times standard deviation), and lower limit of 3 times standard deviation (mean - 3 times standard deviation), etc. These process capability statistics can be used to confirm the process capability characteristics, distribution characteristics, and relationship with the upper and lower limits of specifications of product mechanical performance data.

[0077] In some feasible embodiments, process capability characteristics of product mechanical performance data are confirmed based on process capability statistics of the product mechanical performance data, including:

[0078] Confirm the CPK of the product's mechanical performance data. Make a judgment based on the CPK. When the CPK is greater than the set value, it means that the process capability of the product's mechanical performance data is stable. When the CPK is less than or equal to the set value, it means that the process capability of the product's mechanical performance data is insufficient.

[0079] It should be noted that CPK in this application refers to the process capability index. In this embodiment, 1.337 is used as the set value. When CPK is greater than or equal to 1.337, the process capability characteristic of the current product mechanical performance data is that the process capability is stable. When CPK is less than 1.337, the process capability characteristic of the current product mechanical performance data is that the process capability is insufficient.

[0080] In some feasible embodiments, the distribution characteristics of the product mechanical performance data are identified based on process capability statistics of the product mechanical performance data, including:

[0081] Confirm the specification limit median, median, and specification limit decimal places of the product's mechanical performance data;

[0082] When the difference between the median and the specified specification limit is greater than or equal to the decimal place of the specification limit, the distribution characteristic of the product's mechanical property data is biased towards the lower specification limit. Figure 2 As shown;

[0083] When the difference between the median and the median of the specification limit is greater than the decimal place of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the upper limit of the specification limit, such as... Figure 3 As shown;

[0084] When the median value minus the specified limit is less than a tenth of the specified limit, or when the median value minus the specified limit is less than or equal to a tenth of the specified limit, the distribution characteristic of the product's mechanical property data is centered. Figure 4 As shown.

[0085] It should be noted that the median of the specification limit refers to (upper specification limit + lower specification limit) / 2, and the decimal of the specification limit refers to (upper specification limit - lower specification limit) / 10.

[0086] Understandably, after determining the distribution characteristics of the product's mechanical performance data, further judgment is needed based on the upper and lower limits of the specifications. If the distribution of the product's mechanical performance data does not exceed the upper and lower limits of the specifications, it indicates that there is a corresponding margin.

[0087] For example Figure 2 As shown in the figure, it can be seen that the distribution of product mechanical performance data is biased towards the lower limit of the specification, and the distribution does not exceed the lower limit of the specification. However, there may be another situation where the product mechanical performance data is also biased towards the lower limit of the specification, but some product mechanical performance data exceeds the lower limit of the specification. Therefore, it is necessary to continue to judge the relationship between product mechanical performance data and the upper limit of the specification.

[0088] In some feasible embodiments, the relationship between product mechanical performance data and specification limits is confirmed based on process capability statistics of product mechanical performance data, including:

[0089] Confirm the upper and lower limits of the product's mechanical performance data;

[0090] When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data is within the upper and lower limits of the specification. Figure 5 As shown;

[0091] When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds both the lower and upper limits of the specification. Figure 6 As shown;

[0092] When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the lower limit of the specification. Figure 7 As shown;

[0093] When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the upper limit of the specification. Figure 8 As shown.

[0094] Understandably, the upper and lower limits of specifications are important conditions for determining whether there is a margin in the product's mechanical performance data. Only when the distribution of the product's mechanical performance data does not exceed the upper and lower limits of the specifications can there be a margin in the product's mechanical performance data.

[0095] In some feasible embodiments, confirming whether there is a margin in the product mechanical performance data based on the process capability characteristics, distribution features, and relationship with the upper and lower limits of the specification data includes:

[0096] When the process capability of the product's mechanical performance data is stable, its distribution characteristic is central, and it falls within the upper and lower limits of the specification, it is determined that the product's mechanical performance data has a margin of safety. Figure 9 As shown;

[0097] When the process capability of the product's mechanical performance data is stable, the distribution characteristic is biased towards the upper limit of the specification, and the product's mechanical performance data exceeds the upper limit of the specification but does not exceed the lower limit of the specification, it is determined that the product's mechanical performance data has a margin. Figure 10 As shown;

[0098] When the process capability of the product's mechanical performance data is stable, the distribution characteristic is biased towards the lower limit of the specification, and the product's mechanical performance data exceeds the lower limit of the specification but does not exceed the upper limit of the specification, it is determined that the product's mechanical performance data has a margin. Figure 11 As shown.

[0099] Continue to refer to Figure 1 Step S200: Set the adjustment target for the allowance and adjust the allowance based on the process parameters in the steel manufacturing process.

[0100] It is understandable that the amount of allowance is affected by the product's mechanical property data. When the distribution of the product's mechanical property data exceeds the upper and lower limits of the specification, there is no allowance. Therefore, the adjustment of the allowance is directly determined by the distribution of the product's mechanical property data, which in turn is determined by the process parameters. Different process parameters result in different distributions of the mechanical property data of the steel coils. Therefore, by adjusting the process parameters, the allowance can be indirectly adjusted.

[0101] In some feasible embodiments, setting the adjustment target for the margin includes:

[0102] Based on customer needs, the product's mechanical performance indicators are set as the adjustment target for the margin, and the range of the margin adjustment target is set.

[0103] In some feasible embodiments, adjusting the allowance based on process parameters in the steel manufacturing process includes:

[0104] Analyze the correlation between the process parameters and the mechanical properties of the product;

[0105] Based on the correlation between the process parameters and the mechanical properties of the product, the process parameters that affect the mechanical properties of the product are identified and recorded as key process parameters.

[0106] Adjust the data values ​​of key process parameters to adjust the margin.

[0107] It should be noted that, in this embodiment, the correlation analysis of historical product mechanical performance data and historical process parameter data can be performed by adaptive boosting algorithm, limit tree algorithm, gradient boosting algorithm and random forest algorithm respectively to confirm the correlation between product mechanical performance and process parameters.

[0108] Continue to refer to Figure 1 Step S300: Analyze whether the adjusted margin meets the adjustment requirements.

[0109] In some feasible embodiments, step S300 specifically includes:

[0110] The adjusted margin is compared with the target range of the margin adjustment. If the adjusted margin is within the target range of the margin adjustment, it is determined that the margin meets the adjustment requirements; otherwise, it does not.

[0111] The following describes an embodiment of the apparatus described in this application, which can be used to execute a method for adjusting the mechanical property margin of steel products according to the above embodiments of this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0112] Reference Figure 12As shown, a steel product mechanical property margin analysis and adjustment device 1200 according to an embodiment of this application includes: a confirmation unit 1201, an adjustment target setting unit 1202, an adjustment unit 1203, and an analysis unit 1204.

[0113] The unit 1201 is used to confirm the margin of the product mechanical performance data based on the process capability statistics of the product mechanical performance data; the adjustment target setting unit 1202 is used to set the adjustment target of the margin; the adjustment unit 1203 is used to adjust the margin based on the process parameters in the steel manufacturing process; and the analysis unit 1204 is used to analyze whether the adjusted margin meets the adjustment requirements.

[0114] In some feasible embodiments, the confirmation unit 1201 includes: a first subunit, used to confirm the process capability characteristics of the product mechanical performance data based on the process capability statistics of the product mechanical performance data; a second subunit, used to confirm the distribution characteristics of the product mechanical performance data based on the process capability statistics of the product mechanical performance data; a third subunit, used to confirm the relationship between the product mechanical performance data and the upper and lower limits of the specifications based on the process capability statistics of the product mechanical performance data; and a fourth subunit, used to confirm whether there is any margin in the product mechanical performance data based on the process capability characteristics, distribution characteristics, and relationship with the upper and lower limits of the specifications.

[0115] In some feasible embodiments, the first subunit is configured to: confirm the CPK of the product mechanical performance data, make a judgment based on the CPK, and when the CPK is greater than a set value, it indicates that the process capability of the product mechanical performance data is stable, and when the CPK is less than or equal to the set value, it indicates that the process capability of the product mechanical performance data is insufficient.

[0116] In some feasible embodiments, the second subunit is configured to: confirm the specification limit median, median and specification limit decimal places of the product's mechanical performance data;

[0117] When the median value minus the median of the specification limit is greater than or equal to the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the lower specification limit;

[0118] When the median minus the median of the specification limit is greater than the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the upper limit of the specification.

[0119] When the median value minus the specified limit is less than a tenth of the specified limit, or when the median value minus the specified limit is less than or equal to a tenth of the specified limit, the distribution characteristic of the product mechanical property data is centered.

[0120] In some feasible embodiments, the third subunit is configured to: confirm the upper and lower limits of the product's mechanical performance data;

[0121] When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data is within the range of the upper and lower limits of the specification.

[0122] When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds both the lower limit and the upper limit of the specification.

[0123] When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the lower limit of the specification.

[0124] When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the upper limit of the specification.

[0125] In some feasible embodiments, the fourth subunit is configured to: determine that the product mechanical performance data has a margin when the process capability of the product mechanical performance data is stable, the distribution characteristics are centered, and it is within the upper and lower limits of the specification;

[0126] When the process capability of the product mechanical performance data is stable, the distribution characteristic is biased towards the upper limit of the specification, and the product mechanical performance data exceeds the upper limit of the specification but does not exceed the lower limit of the specification, it is determined that the product mechanical performance data has a margin.

[0127] When the process capability of the product mechanical performance data is stable, the distribution characteristic is biased towards the lower limit of the specification, and the product mechanical performance data exceeds the lower limit of the specification but does not exceed the upper limit of the specification, it is determined that the product mechanical performance data has a margin.

[0128] In some feasible embodiments, the adjustment target setting unit 1202 is configured to: set the product mechanical performance index as the adjustment target of the margin according to customer needs, and set the margin adjustment target range.

[0129] In some feasible embodiments, the adjustment unit 1203 is configured to: analyze the correlation between the process parameters and the mechanical properties of the product;

[0130] Based on the correlation between the process parameters and the mechanical properties of the product, the process parameters that affect the mechanical properties of the product are identified and recorded as key process parameters.

[0131] Adjust the data values ​​of key process parameters to adjust the margin.

[0132] In some feasible embodiments, the analysis unit 1204 is configured to: compare the adjusted margin with the margin adjustment target range; when the adjusted margin is within the margin adjustment target range, determine that the margin meets the adjustment requirements; otherwise, it does not.

[0133] Figure 13 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown.

[0134] It should be noted that, Figure 13 The computer system 1300 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0135] like Figure 13 As shown, the computer system 1300 includes a Central Processing Unit (CPU) 1301, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 1302 or programs loaded from storage portion 1308 into Random Access Memory (RAM) 1303, such as performing the methods described in the above embodiments. Various programs and data required for system operation are also stored in RAM 1303. The CPU 1301, ROM 1302, and RAM 1303 are interconnected via bus 1304. An Input / Output (I / O) interface 1305 is also connected to bus 1304.

[0136] The following components are connected to I / O interface 1305: an input section 1306 including a keyboard, mouse, etc.; an output section 1307 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 1308 including a hard disk, etc.; and a communication section 1309 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 1309 performs communication processing via a network such as the Internet. A drive 1310 is also connected to I / O interface 1305 as needed. Removable media 1311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 1310 as needed so that computer programs read from them can be installed into storage section 1308 as needed.

[0137] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 1309, and / or installed from removable medium 1311. When the computer program is executed by central processing unit (CPU) 1301, it performs various functions defined in the system of this application.

[0138] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0139] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0140] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0141] In another aspect, this application also provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method for adjusting the mechanical property margin of steel products as described in the above embodiments.

[0142] In another aspect, this application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to implement the method for adjusting the mechanical property margin of steel products as described in the above embodiments.

[0143] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0144] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of this application.

[0145] Other embodiments of this application will readily conceive of by those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that this application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for analyzing and adjusting the mechanical property margin of steel products, characterized in that, include: The margin of the product mechanical performance data is confirmed by the process capability statistics based on the product mechanical performance data. Set an adjustment target for the allowance, and adjust the allowance based on the process parameters in the steel manufacturing process; Analyze whether the adjusted margin meets the adjustment requirements; The process capability statistics based on product mechanical performance data confirm the margin of the product mechanical performance data, including: Based on the process capability statistics of product mechanical performance data, we can confirm the process capability characteristics of product mechanical performance data, confirm the distribution characteristics of product mechanical performance data, and confirm the relationship between product mechanical performance data and specification limits. Based on the process capability characteristics, distribution features, and relationship with the upper and lower limits of the product's mechanical performance data, confirm whether there is any margin in the product's mechanical performance data. Based on process capability statistics of product mechanical performance data, the distribution characteristics of product mechanical performance data are identified, including: Confirm the specification limit median, median, and specification limit decimal places of the product's mechanical performance data; When the median value minus the median of the specification limit is greater than or equal to the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the lower specification limit; When the median minus the median of the specification limit is greater than the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the upper limit of the specification. When the median value minus the median of the specification limit is less than a tenth of the specification limit, or when the median value minus the median value of the specification limit is less than or equal to a tenth of the specification limit, the distribution characteristic of the product mechanical property data is centered. The adjustment target for setting the margin includes: The mechanical performance indicators of the product are set as the adjustment target for the margin according to customer needs, and the adjustment target range is set. The adjustment of the allowance based on process parameters in the steel manufacturing process includes: Analyze the correlation between the process parameters and the mechanical properties of the product; Based on the correlation between the process parameters and the mechanical properties of the product, the process parameters that affect the mechanical properties of the product are identified and recorded as key process parameters. Adjust the data values ​​of key process parameters to adjust the margin; Whether the adjusted margin meets the adjustment requirements includes: The adjusted margin is compared with the target range of the margin adjustment. If the adjusted margin is within the target range of the margin adjustment, it is determined that the margin meets the adjustment requirements; otherwise, it does not.

2. The method according to claim 1, characterized in that, Based on process capability statistics of product mechanical performance data, the process capability characteristics of product mechanical performance data are confirmed, including: Confirm the CPK of the product's mechanical performance data. Make a judgment based on the CPK. When the CPK is greater than the set value, it means that the process capability of the product's mechanical performance data is stable. When the CPK is less than or equal to the set value, it means that the process capability of the product's mechanical performance data is insufficient.

3. The method according to claim 1, characterized in that, Based on process capability statistics of product mechanical performance data, confirm the relationship between product mechanical performance data and specification limits, including: Confirm the upper and lower limits of the product's mechanical performance data; When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data is within the range of the upper and lower limits of the specification. When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds both the lower limit and the upper limit of the specification. When the minimum value of the product's mechanical performance data is less than the lower limit of the specification and the maximum value of the product's mechanical performance data is less than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the lower limit of the specification. When the minimum value of the product's mechanical performance data is greater than the lower limit of the specification and the maximum value of the product's mechanical performance data is greater than the upper limit of the specification, it indicates that the product's mechanical performance data exceeds the upper limit of the specification.

4. The method according to claim 3, characterized in that, The process of determining whether there is a margin in the product's mechanical performance data based on the process capability characteristics, distribution features, and relationship with the upper and lower limits of the specifications includes: When the process capability of the product's mechanical performance data is stable, the distribution characteristics are centered, and it is within the upper and lower limits of the specification, it is determined that the product's mechanical performance data has a margin. When the process capability of the product mechanical performance data is stable, the distribution characteristic is biased towards the upper limit of the specification, and the product mechanical performance data exceeds the upper limit of the specification but does not exceed the lower limit of the specification, it is determined that the product mechanical performance data has a margin. When the process capability of the product mechanical performance data is stable, the distribution characteristic is biased towards the lower limit of the specification, and the product mechanical performance data exceeds the lower limit of the specification but does not exceed the upper limit of the specification, it is determined that the product mechanical performance data has a margin.

5. A device for analyzing and adjusting the mechanical property margin of steel products, characterized in that, include: The verification unit is used to verify the margin of the product's mechanical performance data based on the process capability statistics of the product's mechanical performance data. The adjustment target setting unit is used to set the adjustment target for the margin; An adjustment unit is used to adjust the allowance based on process parameters in the steel manufacturing process; The analysis unit is used to analyze whether the adjusted margin meets the adjustment requirements. The process capability statistics based on product mechanical performance data confirm the margin of the product mechanical performance data, including: Based on the process capability statistics of product mechanical performance data, we can confirm the process capability characteristics of product mechanical performance data, confirm the distribution characteristics of product mechanical performance data, and confirm the relationship between product mechanical performance data and specification limits. Based on the process capability characteristics, distribution features, and relationship with the upper and lower limits of the product's mechanical performance data, confirm whether there is any margin in the product's mechanical performance data. Based on process capability statistics of product mechanical performance data, the distribution characteristics of product mechanical performance data are identified, including: Confirm the specification limit median, median, and specification limit decimal places of the product's mechanical performance data; When the median value minus the median of the specification limit is greater than or equal to the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the lower specification limit; When the median minus the median of the specification limit is greater than the tenths of the specification limit, the distribution characteristic of the product mechanical property data is biased towards the upper limit of the specification. When the median value minus the median of the specification limit is less than a tenth of the specification limit, or when the median value minus the median value of the specification limit is less than or equal to a tenth of the specification limit, the distribution characteristic of the product mechanical property data is centered. The adjustment target for setting the margin includes: The mechanical performance indicators of the product are set as the adjustment target for the margin according to customer needs, and the adjustment target range is set. The adjustment of the allowance based on process parameters in the steel manufacturing process includes: Analyze the correlation between the process parameters and the mechanical properties of the product; Based on the correlation between the process parameters and the mechanical properties of the product, the process parameters that affect the mechanical properties of the product are identified and recorded as key process parameters. Adjust the data values ​​of key process parameters to adjust the margin; Whether the adjusted margin meets the adjustment requirements includes: The adjusted margin is compared with the target range of the margin adjustment. If the adjusted margin is within the target range of the margin adjustment, it is determined that the margin meets the adjustment requirements; otherwise, it does not.

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