A furniture production management system

Abstract

The present invention discloses a furniture production management system, comprising a data acquisition module, a product virtualization module, a simulation assembly module, a simulation detection module and a finished product evaluation module; the simulation assembly module realizes the digital design and virtual assembly of furniture accessories by introducing virtual simulation technology, uses high-precision three-dimensional modeling software to create virtual models of furniture accessories, and performs assembly simulation in a virtual environment, thereby reducing the dependence on physical prototypes and accelerating the design iteration speed; the simulation detection module adopts a parametric method to record and simulate the assembly process in detail, and for each assembly step, the system records the gap size, size overlap, shape matching parameters, and compares them with a preset error threshold. Through this method, the assembly quality can be accurately controlled and potential error problems can be discovered in time; through virtual simulation and parametric simulation, the present invention improves the accuracy and quality control level of furniture production.

Description

Technical Field

[0001] The invention relates to the technical field of furniture production, in particular to a furniture production management system. Background Art

[0002] In the traditional furniture manufacturing industry, the design, processing and assembly of products mainly rely on physical prototypes and manual operations. Although this method provides an intuitive physical model, it has some significant limitations and defects that affect production efficiency and product quality:

[0003] High cost and waste of resources: Traditional methods require the production of multiple physical prototypes, resulting in significant consumption of materials and costs.

[0004] Long product development cycles: The slow iteration process based on physical prototypes prolongs the time it takes for products to go from design to market.

[0005] Precision and consistency issues: Manual operation and manual inspection make it difficult to ensure the processing and assembly accuracy of each product, resulting in poor product consistency.

[0006] Inadequate quality control: Reliance on manual inspection may lead to omissions and fail to achieve comprehensive and systematic quality control.

[0007] With the development of computer-aided design (CAD), virtual simulation technology and parametric modeling software, the manufacturing industry has begun to transform towards digitalization, automation and intelligence, providing new possibilities for improving production efficiency and product quality in the furniture manufacturing industry. Summary of the invention

[0008] In order to solve the above-mentioned technical problems, the present invention provides a furniture production management system.

[0009] The technical solution of the present invention is achieved in this way:

[0010] A furniture production management system, comprising a data acquisition module, a product virtualization module, a simulated assembly module, a simulated detection module and a finished product evaluation module;

[0011] The data acquisition module acquires design and production parameters of furniture product accessories from production equipment; and acquires image data of furniture product accessories;

[0012] The product virtualization module introduces virtualization modeling software based on the design and production parameters of the furniture product accessories and the image data of the furniture product accessories to establish a virtual model of the completed furniture product accessories;

[0013] The simulation assembly module obtains virtual models of furniture product accessories, introduces virtual simulation technology, and simulates the processing and assembly of virtual models of various furniture product accessories;

[0014] The simulation detection module introduces industry processing parameterization standards, sets product accessory processing error thresholds, that is, the assembly error threshold range between different products, and performs various simulations on furniture accessories;

[0015] The finished product evaluation module evaluates the product quality in a numerical manner according to the loss parameter curve and the design and production parameters of the furniture product accessories, and adjusts the design and production parameters of the furniture product accessories according to the product quality value to optimize the product production line.

[0016] Furthermore, the simulated assembly module records the simulated assembly process between different furniture production accessories in a parametric manner to generate a virtual assembly model of the entire product.

[0017] Furthermore, the simulation detection module automatically simulates the assembly process of furniture accessories based on the set processing error threshold; automatically simulates its operating process and generates movable parameters; automatically performs loss simulation, generates relevant simulated loss parameters according to the movable parameters, and generates a loss parameter curve.

[0018] Further, the product virtualization module includes an image processing unit and a modeling unit;

[0019] The image processing unit processes the image data, performs denoising, contrast adjustment and color correction on the collected image, uses image processing technology to distinguish different areas in the image, and extracts key features in the image;

[0020] The modeling unit introduces virtual modeling software to establish virtual models of the finished furniture product accessories. The modeling process is specifically as follows: introduce automated modeling software, use design parameters, create the basic geometric shapes of the furniture accessories in the modeling software, add design details to the basic model, apply the corresponding material library and surface treatment effects, collect high-resolution image data of the furniture accessories for texture mapping and detail enhancement, map the image data to the model surface, and verify the model size and shape.

[0021] Further, the simulation detection module includes a standard specifying unit, an assembly simulation operation unit and a loss simulation unit;

[0022] The standard specifying unit loads the overall product virtual assembly model based on the industry standard quality control standard and sets the simulation detection conditions, including error thresholds and detection parameters;

[0023] The assembly simulation operation unit performs simulated assembly and records movable parameters, including the movable degree and range of parts;

[0024] The loss simulation unit uses a physical model and a calculation formula to perform loss simulation and generate a loss parameter curve; specifically, the material wear coefficient and the object mass are loaded, the simulation use time is set, and the Archard wear equation is used to calculate the wear amount.

[0025] Further, the finished product evaluation module includes an evaluation unit and a parameter optimization unit;

[0026] The evaluation unit establishes a numerical quality evaluation model, takes loss parameters and design and production parameters into consideration, determines evaluation standards and quality objectives, including service life and performance degradation rate; uses loss parameter curves to evaluate product performance under expected use conditions, identifies deficiencies in product performance through evaluation results, and identifies key design and production parameters that affect product quality.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The simulation assembly module of the present invention realizes the digital design and virtual assembly of furniture accessories by introducing virtual simulation technology, uses high-precision 3D modeling software to create virtual models of furniture accessories, and performs assembly simulation in a virtual environment. This process reduces the reliance on physical prototypes, thereby reducing costs and material waste; due to the reduced reliance on physical prototypes and the accelerated design iteration speed, the present invention significantly shortens the product development cycle;

[0029] 2. The simulation detection module adopts a parametric method to record and simulate the assembly process in detail. For each assembly step, the system will record the gap size, size overlap, and shape fit parameters, and compare them with the preset error threshold. Through this method, the assembly quality can be accurately controlled and potential error problems can be discovered in time; through virtual simulation and parametric simulation, the present invention improves the accuracy and quality control level of furniture production. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A system framework diagram of a furniture production management system of the present invention;

[0031] Figure 2 It is a framework diagram of the product virtualization module in the present invention;

[0032] Figure 3 It is a framework diagram of the simulation detection module in the present invention;

[0033] Figure 4 It is a framework diagram of the finished product evaluation module in the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Example 1

[0036] This embodiment provides a furniture production management system, including a data acquisition module, a product virtualization module, a simulation assembly module, a simulation detection module and a finished product evaluation module;

[0037] The data acquisition module collects design and production parameters of furniture product accessories from production equipment, including size parameters, material parameters, surface treatment parameters and processing accuracy parameters; and collects image data of furniture product accessories;

[0038] The product virtualization module introduces virtualization modeling software based on the design and production parameters of the furniture product accessories and the image data of the furniture product accessories to establish a virtual model of the completed furniture product accessories;

[0039] The simulation assembly module obtains virtual models of furniture product accessories, introduces virtual simulation technology, and simulates the processing and assembly of virtual models of various furniture product accessories;

[0040] The simulation detection module introduces industry processing parameterization standards, sets product accessory processing error thresholds, that is, the assembly error threshold range between different products, and performs various simulations on furniture accessories. The processing error thresholds include gap size, size overlap, shape fit, assembly fit, and splicing position flatness;

[0041] The finished product evaluation module evaluates the product quality in a numerical manner according to the loss parameter curve and the design and production parameters of the furniture product accessories, and adjusts the design and production parameters of the furniture product accessories according to the product quality value to optimize the product production line.

[0042] The processing error threshold provides a clear quality control benchmark to ensure that the production of each furniture accessory meets the established accuracy requirements. In the simulation detection module, these thresholds are used to guide the simulated assembly process to ensure that the simulated assembly results are within an acceptable error range. The set error thresholds can be used to automatically detect deviations in the simulated assembly process, identify problems in a timely manner and provide feedback. Through parameterization, the processing error thresholds can be integrated into the simulation detection module to achieve a systematic simulation of the assembly errors of different product accessories. At the same time, the wear simulation unit will use these thresholds as a reference to simulate the wear of furniture accessories in long-term use and predict their durability.

[0043] The machining error threshold is quantified and applied through the following steps:

[0044] Data acquisition: Collect actual measurement data related to the machining error threshold;

[0045] Numerical representation: convert the error threshold into numerical form, such as the number of millimeters of the gap size, the angle of the shape fit, etc.

[0046] Simulation analysis: In the simulation test module, these values ​​are used to perform simulation analysis to evaluate the accuracy of the assembly process;

[0047] Quality assessment model: In the finished product assessment module, these values ​​are integrated into the quality assessment model for comprehensive scoring;

[0048] Feedback loop: Based on the evaluation results, relevant values ​​are adjusted to form a closed-loop quality improvement process.

[0049] Furthermore, the simulated assembly module records the simulated assembly process between different furniture production accessories in a parametric manner to generate a virtual assembly model of the entire product.

[0050] The simulated assembly process between different furniture production parts is recorded in a parametric way as follows:

[0051] ① Define assembly parameters and determine which parameters are critical, such as connection types, such as screws, mortise and tenon joints, matching tolerances, torques, angles, docking accuracy, etc.;

[0052] ② Parametric model establishment: create a parametric model for each furniture component, and the model can be updated according to the changes in input parameters;

[0053] ③ Design the assembly sequence, determine the assembly order, and define parameters for each step. For example, the first component is positioned, the second component is inserted, and the screws are tightened with a specific torque, etc.;

[0054] ④ Use a database to store parameters. Use a database or similar data storage solution to record the parameters of each assembly step.

[0055] Furthermore, the simulation detection module automatically simulates the assembly process of furniture accessories based on the set processing error threshold; automatically simulates its operation process and generates movable parameters, including the movable degree and range of parts, and the movable parameters are used as part of the basis for evaluating product quality; automatically performs loss simulation, generates relevant simulated loss parameters according to the movable parameters, and generates a loss parameter curve for indicating the durability, wear simulation, and the durability of the matching dimensions of the component in a certain accessory joint state;

[0056] In this embodiment, the movable parameters refer to the measurement of the relative movement between components during the simulated assembly and operation process, and these parameters are crucial for evaluating the functionality, durability and stability of furniture products;

[0057] The movable parameters include but are not limited to:

[0058] Joint motion angle: the range of angles within which a joint or hinge can rotate;

[0059] Slide travel distance: the maximum distance the slide can move or its stroke length;

[0060] Drawer pull-out distance: the maximum length that a drawer can be pulled out;

[0061] Door opening angle: the maximum angle at which the door can be opened;

[0062] Number of folding mechanisms: the number of times a folding piece of furniture can be folded and unfolded;

[0063] Tightening torque of fasteners: the torque required to tighten the fasteners to a certain degree;

[0064] Gap size of mating parts: The size of the gap or overlapping area between mating parts.

[0065] In this embodiment, the movable parameters are used to:

[0066] Functional evaluation: Ensure that furniture products can be opened, closed, folded and unfolded normally during the expected use;

[0067] Durability prediction: Predict the durability and life of components by simulating movement during long-term use;

[0068] Stability analysis: assesses whether the furniture remains structurally stable after being subjected to repeated movements during normal use;

[0069] Quality Control: As part of quality assessment, ensuring that products meet design and performance standards;

[0070] Loss Simulation: Provides input parameters for loss simulation and helps generate loss parameter curves.

[0071] Specifically:

[0072] Data collection: Automatically collect the motion data of parts through the simulation detection module;

[0073] Parametric representation: convert movable parameters into numerical form, such as angle, distance, torque, etc.

[0074] Simulated assembly: During the simulated assembly process, these parameters are used to simulate the movement and interaction of parts;

[0075] Wear simulation: Apply movable parameters to simulate wear and tear to predict the wear of components under repeated motion;

[0076] Generate loss parameter curve: Generate a loss parameter curve representing durability and wear trend based on simulation results;

[0077] Quality assessment: Use the movable parameter and loss parameter curves as the basis for evaluating product quality to determine whether the product meets the established quality goals;

[0078] Design optimization: Based on the evaluation results, adjust the design parameters, such as improving the lubrication of the joints, enhancing the structural strength, etc., to improve the functionality and durability of the product.

[0079] Further, the product virtualization module includes an image processing unit and a modeling unit;

[0080] The image processing unit processes the image data, performs denoising, contrast adjustment and color correction on the collected image, uses image processing technology to distinguish different areas in the image, and extracts key features in the image;

[0081] The modeling unit introduces virtual modeling software to establish virtual models of the finished furniture product accessories. The modeling process is specifically as follows: introduce automated modeling software, use design parameters, create the basic geometric shapes of the furniture accessories in the modeling software, add design details to the basic model, apply the corresponding material library and surface treatment effects, collect high-resolution image data of the furniture accessories for texture mapping and detail enhancement, map the image data to the model surface, and verify the model size and shape.

[0082] Further, the simulation detection module includes a standard specifying unit, an assembly simulation operation unit and a loss simulation unit;

[0083] The standard specifying unit loads the overall product virtual assembly model based on the industry standard quality control standard and sets the simulation detection conditions, including error thresholds and detection parameters;

[0084] The assembly simulation operation unit performs simulated assembly and records movable parameters, including the movable degree and range of parts;

[0085] The loss simulation unit uses a physical model and a calculation formula to perform loss simulation and generate a loss parameter curve; specifically, the material wear coefficient and the object mass are loaded, the simulation use time is set, and the Archard wear equation is used to calculate the wear amount;

[0086] The loss simulation process is as follows:

[0087] ① Calculate the normal force under normal load;

[0088] ② Calculate the number of annual use cycles;

[0089] ③ Apply Archard wear equation to calculate total wear;

[0090] ④Calculate the wear depth.

[0091] For example, a wooden drawer has a metal slide and we want to predict the life expectancy of the slide under normal use. Assume that normal use means opening and closing the drawer 10 times a day;

[0092] Specific numerical settings:

[0093] Drawer mass: 20kg;

[0094] Gravity acceleration: 9.81 m / s 2 ;

[0095] Number of times per day: 10 times;

[0096] Estimated service life: 5 years;

[0097] Material wear coefficient k: 10 -6 mm / cycle;

[0098] Slide rail length: 500mm;

[0099] Calculate the normal force under normal load:

[0100] F=m×g=20kg×9.81m / s 2 =196.2N

[0101] Calculate the number of annual use cycles:

[0102] Cycles / year=10times / day×365days / year=3650cycles / year

[0103] Calculate the total number of usage cycles in 5 years:

[0104] Total Cycles=3650cycles / year×5years=18250cycles

[0105] The Archard wear equation is used to calculate the total wear over 5 years:

[0106] Assuming there are no other complicating factors, we simplify the model to consider only linear wear.

[0107] Wear Volume=K×Normal Load×Sliding Distance×Total Cycles

[0108] Wear Volume=10 -6 ×196.2×500×18250

[0109] Wear Volume=0.0181m 3

[0110] Convert to millimeters:

[0111] Wear Volume=18100mm 3

[0112] This is the total wear volume of the rails over a 5-year period.

[0113] Calculate wear depth:

[0114] Assuming the wear is uniform, we can calculate the wear depth:

[0115]

[0116]

[0117] Wear Depth=36.2mm

[0118] Based on the above calculations, it is expected that under 5 years of normal use, the wear depth of the slide rail will reach 36.2 mm.

[0119] The steps to generate the loss parameter curve are as follows,

[0120] ① Determine the time range or usage cycle range of the simulation and the frequency of data point collection;

[0121] ② Use the calculated cycle range wear as the base data point;

[0122] ③Create a table listing each time point;

[0123] ④ Use chart drawing software to plot the data points in the data table on a chart with time on the X-axis and cumulative wear on the Y-axis;

[0124] ⑤ Calculate the slope of the curve, which reflects the rate of loss.

[0125] Furthermore, the simulated assembly module uses a parametric method to record the assembly process in detail as follows:

[0126] ① Define assembly parameters and determine the key parameters that affect assembly;

[0127] ②Convert each assembly action and decision into numerical parameters;

[0128] ③During the simulated assembly process, the values ​​of these parameters are collected in real time;

[0129] ④Use parametric methods to establish a mathematical model of the assembly process;

[0130] ⑤ Use virtual simulation software to simulate the assembly process according to the parameter model and observe the impact of parameter changes on the assembly results.

[0131] Further, the finished product evaluation module includes an evaluation unit and a parameter optimization unit;

[0132] The evaluation unit establishes a numerical quality evaluation model, taking into account loss parameters and design and production parameters, and determines evaluation standards and quality targets, including service life and performance degradation rate; uses loss parameter curves to evaluate product performance under expected use conditions, identifies product performance deficiencies through evaluation results, and identifies key design and production parameters that affect product quality;

[0133] The steps to build a quality assessment model are as follows:

[0134] ① Determine the evaluation objectives and indicators: define the purpose of the evaluation, i.e., the service life and performance degradation rate, and determine the service life D and performance degradation rate R as the main indicators;

[0135] ②Data collection and analysis: collect design and production parameters, and collect loss parameters;

[0136] ③ Use the analytic hierarchy process (AHP) to assign weights w i ;

[0137] ④ Establish loss parameter curve: Apply loss data to establish loss parameter curve:

[0138] Wear(t)=k×t+b

[0139] Where t is time, k is slope, and b is intercept;

[0140] ⑤Construct a quality assessment model: Use the weighted scoring method to construct an assessment model:

[0141]

[0142] Among them, S i is the standardized score of indicator i;

[0143] ⑥Indicator standardization: convert indicators into unified dimensions and ranges:

[0144]

[0145] where x i is the original data, x min and x max are the minimum and maximum values ​​of the indicator;

[0146] ⑦Performance evaluation: Use loss parameter curve to evaluate product performance:

[0147] Performance Index=f(Wear(t),D,R)

[0148] Where f is the evaluation function;

[0149] ⑧ Identify performance deficiencies: Identify performance deficiencies by comparing the Performance Index with the preset goals;

[0150] ⑨Evaluate the impact of different parameters on Quality Score:

[0151]

[0152] The parameter optimization unit adjusts the parameters in the production process according to the sensitivity analysis results and optimizes the key design and production parameters.

[0153] In this embodiment, the virtual modeling software and the simulation assembly module reduce the dependence on physical prototypes, thereby reducing material consumption and production costs. The data acquisition module is used to collect production parameters and image data, avoiding the waste of resources caused by inaccurate physical prototype production.

[0154] The product virtualization module is used to quickly create virtual models, and the simulation assembly module is used to achieve rapid assembly, which greatly shortens the design and testing cycle. The simulation detection module and the finished product evaluation module provide real-time feedback, accelerate the iteration process, and enable products to reach the market faster.

[0155] The introduction of automated modeling software and parametric standards ensures that the virtual models of furniture accessories are highly accurate and consistent. The simulation assembly module and simulation detection module are automated and parametrically tested to ensure the accuracy of the assembly process and the consistency of the product.

[0156] The simulation detection module automatically sets error thresholds and performs simulation detection according to the industry processing parameterization standards, which improves the comprehensiveness and systematicness of quality control. The finished product evaluation module provides quantitative quality evaluation through a numerical quality evaluation model combined with loss parameter curves and design production parameters, which helps to identify and improve potential quality problems.

Claims

1. A furniture production management system, characterized by: It includes data acquisition module, product virtualization module, simulation assembly module, simulation detection module and finished product evaluation module; The data acquisition module acquires design and production parameters of furniture product accessories from production equipment; and acquires image data of furniture product accessories; The product virtualization module introduces virtualization modeling software based on the design and production parameters of the furniture product accessories and the image data of the furniture product accessories to establish a virtual model of the completed furniture product accessories; The simulation assembly module obtains virtual models of furniture product accessories, introduces virtual simulation technology, and simulates the processing and assembly of virtual models of various furniture product accessories; The simulation detection module introduces industry processing parameterization standards, sets product accessory processing error thresholds, that is, the assembly error threshold range between different products, and performs various simulations on furniture accessories; The simulation detection module includes a standard specifying unit, an assembly simulation operation unit and a loss simulation unit; The standard specifying unit loads the overall product virtual assembly model based on the industry standard quality control standard and sets the simulation detection conditions, including error thresholds and detection parameters; The assembly simulation operation unit performs simulated assembly and records movable parameters, including the movable degree and range of parts; The loss simulation unit uses a physical model and a calculation formula to perform loss simulation and generate a loss parameter curve; specifically, the material wear coefficient and the object mass are loaded, the simulation use time is set, and the Archard wear equation is used to calculate the wear amount.

2. A furniture production management system according to claim 1, characterized in that: The finished product evaluation module evaluates the product quality in a numerical manner according to the loss parameter curve and the design and production parameters of the furniture product accessories, and adjusts the design and production parameters of the furniture product accessories according to the product quality value to optimize the product production line.

3. A furniture production management system according to claim 1, characterized in that: The simulated assembly module records the simulated assembly process between different furniture production accessories in a parametric manner to generate a virtual assembly model of the entire product.

4. A furniture production management system according to claim 1, characterized in that: The simulation detection module automatically simulates the assembly process of furniture accessories based on the set processing error threshold; automatically simulates its operating process and generates movable parameters; automatically performs loss simulation, generates relevant simulated loss parameters according to the movable parameters, and generates a loss parameter curve.

5. A furniture production management system according to claim 1, characterized in that: The product virtualization module includes an image processing unit and a modeling unit; The image processing unit processes the image data, performs denoising, contrast adjustment and color correction on the collected image, uses image processing technology to distinguish different areas in the image, and extracts key features in the image; The modeling unit introduces virtual modeling software to establish virtual models of the finished furniture product accessories. The modeling process is specifically as follows: introduce automated modeling software, use design parameters, create the basic geometric shapes of the furniture accessories in the modeling software, add design details to the basic model, apply the corresponding material library and surface treatment effects, collect high-resolution image data of the furniture accessories for texture mapping and detail enhancement, map the image data to the model surface, and verify the model size and shape.

6. A furniture production management system according to claim 1, characterized in that: The process of loss simulation by the loss simulation unit is as follows: ① Calculate the normal force under normal load; ② Calculate the number of annual use cycles; ③ Apply Archard wear equation to calculate total wear; ④Calculate the wear depth; The steps of generating the loss parameter curve by the loss simulation unit are as follows: ① Determine the time range or usage cycle range of the simulation and the frequency of data point collection; ② Use the calculated cycle range wear as the base data point; ③Create a table listing each time point; ④ Use chart drawing software to plot the data points in the data table on a chart with time on the X-axis and cumulative wear on the Y-axis; ⑤ Calculate the slope of the curve, which reflects the rate of loss.

7. A furniture production management system according to claim 1, characterized in that: The simulation assembly module uses a parametric method to record the assembly process in detail as follows: ① Define assembly parameters and determine the key parameters that affect assembly; ②Convert each assembly action and decision into numerical parameters; ③During the simulated assembly process, the values ​​of these parameters are collected in real time; ④Use parametric methods to establish a mathematical model of the assembly process; ⑤ Use virtual simulation software to simulate the assembly process according to the parameter model and observe the impact of parameter changes on the assembly results.

8. The furniture production management system according to claim 1, characterized in that: The finished product evaluation module includes an evaluation unit and a parameter optimization unit; The evaluation unit establishes a numerical quality evaluation model, taking into account the loss parameters and the design and production parameters, and determines the evaluation standards and quality targets, including the service life and the performance degradation rate; Use the loss parameter curve to evaluate the performance of the product under the expected use conditions, identify the shortcomings of product performance through the evaluation results, and identify the key design and production parameters that affect product quality.

9. A furniture production management system according to claim 8, characterized in that: The steps of establishing the quality assessment model by the assessment unit are as follows: ① Determine the evaluation objectives and indicators: define the purpose of the evaluation, i.e., the service life and performance degradation rate, and determine the service life D and performance degradation rate R as the main indicators; ②Data collection and analysis: collect design and production parameters, and collect loss parameters; ③ Use the analytic hierarchy process (AHP) to assign weights ; ④ Establish loss parameter curve: Apply loss data to establish loss parameter curve: in, It's time. is the slope, is the intercept; ⑤Construct a quality assessment model: Use the weighted scoring method to construct an assessment model: in, Is an indicator Standardized score of ⑥Indicator standardization: convert indicators into unified dimensions and ranges: in is the original data, and are the minimum and maximum values ​​of the indicator; ⑦Performance evaluation: Use loss parameter curve to evaluate product performance: Where f is the evaluation function; ⑧Identify performance deficiencies: Identify performance deficiencies by comparing the Performance Index with the preset goals; ⑨Evaluate the impact of different parameters on Quality Score: The parameter optimization unit adjusts the parameters in the production process according to the sensitivity analysis results and optimizes the key design and production parameters.

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