A two-dimensional code online generation method for solid wood floor

Abstract

The application relates to a kind of online generation methods of solid wood floor two-dimensional code, comprising: S1, obtaining solid wood floor production order information, and determining corresponding production process flow information based on the solid wood floor production order information;S2, each batch of solid wood floor workpiece is screened by machine vision identification device, and the solid wood floor workpiece screened according to the pre-set standard condition is classified according to the production order information, and different types of solid wood floor workpiece are respectively placed in different trays;S3, based on the information in the two-dimensional code label of any tray obtained by scanning code equipment and the process production information of each solid wood floor workpiece in the tray obtained by manufacturing execution system in the processing process according to the production process flow information, the final two-dimensional code label corresponding to the tray is generated.

Description

Technical Field

[0001] This invention relates to the field of solid wood flooring production technology, and in particular to a method for generating QR codes for solid wood flooring online. Background Technology

[0002] Current solid wood flooring production typically involves multiple processes, including material preparation, sorting, board selection, warehousing, drying, grooving, willow trimming, painting, and packaging. The production process is relatively complex compared to engineered wood flooring and laminate flooring. With the continuous upgrading of mass-production customization technology, bottlenecks such as low levels of digitalization, inability to guarantee quality, lack of workpiece tracking, and lack of information traceability are common. Each batch of orders differs in raw material procurement, tree species selection, defect detection, surface quality definition, component specifications, and production processes. Therefore, a series of process controls during solid wood flooring production, including order management and execution, material control, on-site packaging, and quality traceability, generate a large amount of data. Traditional methods of manual selection, management, and work order filing are inefficient, prone to errors, and difficult to track. Furthermore, it is difficult to achieve end-to-end tracking of order material sources and flow, quality traceability, and data exchange. Summary of the Invention

[0003] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a method for generating QR codes for solid wood flooring online, which solves the technical problems of low efficiency, easy error and inconvenience in quality sorting and process control in the existing solid wood flooring production process.

[0004] To achieve the above objectives, the main technical solutions adopted by the present invention include:

[0005] This invention provides a method for online generation of QR codes for solid wood flooring. The method is applied to a system for online generation of QR codes for solid wood flooring. The system includes: an information management platform and a machine vision recognition device, a barcode scanning device, and a manufacturing execution system connected to the information management platform to collect process information for each production step in the solid wood flooring production process. The online QR code generation method includes:

[0006] S1. Obtain solid wood flooring production order information and determine the corresponding production process information based on the solid wood flooring production order information;

[0007] The production order information includes: order number, customer name, product specifications, required wood type, material source, total quantity of wood flooring to be produced, delivery time, and customer-specified quality standards;

[0008] The product specifications include the model, size, and thickness of the wood flooring;

[0009] The production process information includes: the production steps required from the initial solid wood flooring workpiece to the solid wood flooring workpiece meeting the quality standards specified by the customer, the production process parameters required for each production step, and the names of the operators corresponding to each production step;

[0010] S2. Each batch of solid wood flooring workpieces is screened using a machine vision recognition device, and the solid wood flooring workpieces that meet the pre-set standard conditions are classified according to the production order information, and different types of solid wood flooring workpieces are placed into different trays respectively.

[0011] Each pallet is equipped with a QR code label corresponding to that pallet. The information in the QR code label includes production order information and information about the type of solid wood flooring workpieces carried on the pallet.

[0012] S3. Based on the information in the QR code label of any pallet obtained by the scanning device and the process production information of each solid wood flooring workpiece in the pallet obtained by the manufacturing execution system during the processing of each production step in accordance with the production process flow information, generate the final QR code label corresponding to the pallet.

[0013] Preferably, S2 specifically includes:

[0014] S21. The machine vision recognition device screens each batch of solid wood flooring workpieces and obtains the defect score of each solid wood flooring workpiece in that batch.

[0015] S22. Solid wood flooring workpieces with a defect score greater than or equal to a preset value are considered solid wood flooring workpieces that meet the preset standard conditions.

[0016] S23. Solid wood flooring workpieces that meet the pre-set standard conditions are classified according to the required wood type and material source in the production order information, and different types of solid wood flooring workpieces are placed in different trays.

[0017] Preferably, the defect score of the solid wood flooring workpiece is calculated using formula (1);

[0018] The formula (1) is:

[0019]

[0020] D i It is the defect score of the i-th solid wood flooring piece in this batch;

[0021] m is the total number of defect types that the machine vision recognition device can identify in solid wood flooring workpieces;

[0022] wj It is the weight of the j-th defect type;

[0023] A ij It is the area of ​​the j-th defect type in the i-th solid wood flooring workpiece;

[0024] A total It is the total surface area of ​​the i-th solid wood flooring piece;

[0025] S ij It represents the severity of the j-th defect type in the i-th solid wood flooring piece;

[0026] c i It is a pre-set correction factor for the i-th solid wood flooring workpiece.

[0027] Preferably, the production process includes: a drying process, a grooving process, and a coating process.

[0028] Preferably, the method further includes:

[0029] S4. Based on the process production information of each solid wood flooring workpiece in the pallet obtained through the manufacturing execution system during the processing according to the production process flow information, and the pre-set process standard information corresponding to the production process, generate production prompt information.

[0030] The process production information corresponding to the drying production process is the moisture content of the solid wood flooring workpiece; the process standard information corresponding to the drying production process is the standard moisture content of the solid wood flooring workpiece.

[0031] The process production information corresponding to the grooving production process is the grooving depth of the solid wood flooring workpiece; the process standard information corresponding to the grooving production process is the standard grooving depth of the solid wood flooring workpiece.

[0032] The process production information corresponding to the coating production process includes: the paint film thickness, paint film hardness, and paint film surface gloss of the solid wood flooring workpiece; the process standard information corresponding to the coating production process includes the standard paint film thickness, standard paint film hardness, and standard paint film surface gloss of the solid wood flooring workpiece.

[0033] Preferably, S4 specifically includes:

[0034] S41. Based on the process production information of each solid wood flooring workpiece in the tray during any production process processed according to the production process flow information and the pre-set process standard information corresponding to the production process, obtain the absolute difference of each solid wood flooring workpiece in the tray during the production process.

[0035] The absolute difference is calculated using formula (2);

[0036] The formula (2) is: d x =|a x -b|;

[0037] Among them, a x b represents the process production information for any production step of the x-th solid wood flooring workpiece in the tray, processed according to the aforementioned production process flow information; b represents the process production information related to a. x Corresponding process standard information; d x Let x be the absolute difference of the x-th solid wood flooring piece in the tray;

[0038] S42. Based on the absolute difference of each solid wood flooring workpiece in the pallet during this production process, obtain the deviation range;

[0039] S43. Based on the absolute difference of each solid wood flooring workpiece in the tray in this production process and the deviation range, determine the proportion of the absolute difference of the solid wood flooring workpiece in the tray in this production process within the deviation range.

[0040] S44. Based on the proportion of the absolute difference of the solid wood flooring workpiece in the tray within the deviation range in this production process and the preset proportion threshold, generate production prompt information.

[0041] Preferably,

[0042] The deviation range is

[0043] Where g is a pre-defined constant;

[0044]

[0045] Where X is the total number of solid wood flooring pieces in the tray;

[0046]

[0047] Preferably, S44 specifically includes:

[0048] If the absolute difference of the solid wood flooring workpiece in the tray during this production process is greater than or equal to the proportion within the deviation range, then a first production prompt message is generated on the information control platform.

[0049] The first production notification message indicates that the solid wood flooring workpiece in the tray has passed the production process.

[0050] If the absolute difference of the solid wood flooring workpiece in the tray during this production process is less than the proportion of the deviation within the specified deviation range, then a second production prompt message will be generated on the information control platform.

[0051] The second production notification indicates that the solid wood flooring component in the tray is defective in this production process.

[0052] The production notification information includes a first production notification information and a second production notification information.

[0053] Preferably,

[0054] Among them, the severity S of the j-th defect type of the i-th solid wood flooring workpiece ij It is calculated in advance using formula (3);

[0055] The formula (3) is:

[0056]

[0057] α, β, γ, and δ are pre-defined weighting coefficients;

[0058] D ij Let be the depth of the j-th defect type in the i-th solid wood flooring piece in this batch;

[0059] F ij The pre-defined functional impact level corresponding to the j-th defect type of the i-th solid wood flooring piece in this batch;

[0060] R ij This is the pre-set repair difficulty corresponding to the j-th defect type of the i-th solid wood flooring piece in this batch.

[0061] Preferably, the drying temperature T is adjusted using formula (4) during the drying process. d To ensure that the solid wood flooring workpieces reach the standard moisture content at a pre-set drying time T;

[0062] The formula (4) is:

[0063]

[0064] Hx represents the moisture content of the solid wood flooring workpiece at the start of the drying process.

[0065] H f This refers to the standard moisture content of solid wood flooring components.

[0066] T is the preset drying time;

[0067] k0 is a pre-obtained reference frequency factor for the migration and evaporation of water molecules inside the solid wood flooring workpiece during the drying process in solid wood flooring production;

[0068] E aThis refers to the energy required to overcome in advance to allow water molecules inside the solid wood flooring workpiece to migrate out of the workpiece structure and evaporate during the drying process in solid wood flooring production;

[0069] R is the gas constant;

[0070] T d This refers to the drying temperature.

[0071] The beneficial effects of this invention are as follows: The online QR code generation method for solid wood flooring utilizes a machine vision recognition device to screen each batch of solid wood flooring workpieces, ensuring compliance with pre-set quality standards and thus guaranteeing the quality of the final product. Each pallet is labeled with a QR code, recording production order information and workpiece information, making the production process of each workpiece traceable and facilitating quality control and after-sales service. Using an information management platform and manufacturing execution system, process production information for each production step is centrally managed and stored, simplifying information management processes and reducing information loss and confusion. Based on production order information, the production process flow information is dynamically adjusted, flexibly responding to different customer needs and specifications, improving customer satisfaction. By generating a final QR code label containing detailed production process information, the entire production process is transparent and visible, improving traceability and aiding in quality control and problem tracing. Attached Figure Description

[0072] Figure 1 This is a flowchart of a method for generating QR codes for solid wood flooring online according to the present invention;

[0073] Figure 2 This is a flowchart of an online QR code generation method for solid wood flooring according to an embodiment of the present invention. Detailed Implementation

[0074] To better explain and facilitate understanding of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0075] To better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present invention can be understood more clearly and thoroughly, and that the scope of the present invention can be fully conveyed to those skilled in the art.

[0076] Example 1

[0077] See Figure 1This embodiment provides a method for online generation of QR codes for solid wood flooring. The method is applied to a system for online generation of QR codes for solid wood flooring. The system includes: an information management platform and a machine vision recognition device, a barcode scanning device, and a manufacturing execution system connected to the information management platform to collect process information for each production step in the solid wood flooring production process. The online QR code generation method includes:

[0078] S1. Obtain solid wood flooring production order information and determine the corresponding production process information based on the solid wood flooring production order information;

[0079] The production order information includes: order number, customer name, product specifications, required wood type, material source, total quantity of wood flooring to be produced, delivery time, and customer-specified quality standards;

[0080] The product specifications include the model, size, and thickness of the wood flooring;

[0081] The production process information includes: the production steps required from the initial solid wood flooring workpiece to the solid wood flooring workpiece meeting the quality standards specified by the customer, the production process parameters required for each production step, and the names of the operators corresponding to each production step;

[0082] For example, production order information includes: Order number: 123456; Customer name: ABC Furniture Company; Product specifications: Wood flooring model: MDF-2024, size: 1200mm x 200mm, thickness: 15mm; Required wood species: Oak; Material source: XYZ timber supplier; Total quantity of wood flooring to be produced: 500 square meters; Delivery time: September 15th of a certain year; Customer-specified quality standards: No obvious surface defects, moisture content between 8% and 10%, uniform coating.

[0083] Determine production process information based on order information:

[0084] The production process required from initial solid wood flooring workpieces to solid wood flooring workpieces meeting customer-specified quality standards:

[0085] Drying production process: Production process parameters: Drying time 48 hours, target moisture content 8%-10%, Operator name: Mr. Li.

[0086] Grooving production process: Production process parameters: Grooving depth 2mm, grooving speed 1000m / hour, Operator name: Master Wang.

[0087] Coating production process: Production process parameters: Coating thickness 0.5mm, coating drying time 24 hours, Operator name: Master Zhang.

[0088] Quality inspection production process: Production process parameters: surface defect detection, moisture content detection, coating uniformity detection; Operator name: Master Zhao.

[0089] S2. Each batch of solid wood flooring workpieces is screened using a machine vision recognition device, and the solid wood flooring workpieces that meet the pre-set standard conditions are classified according to the production order information, and different types of solid wood flooring workpieces are placed into different trays respectively.

[0090] Each pallet is equipped with a QR code label corresponding to that pallet. The information in the QR code label includes production order information and information about the type of solid wood flooring workpieces carried on the pallet.

[0091] S3. Based on the information in the QR code label of any pallet obtained by the scanning device and the process production information of each solid wood flooring workpiece in the pallet obtained by the manufacturing execution system during the processing of each production step in accordance with the production process flow information, generate the final QR code label corresponding to the pallet.

[0092] In this embodiment, machine vision recognition devices, barcode scanning equipment, and a manufacturing execution system (MES) are used to automatically acquire, process, and manage production information, reducing human intervention and errors. Process information for each production step is collected and processed in real time through the MES, ensuring data accuracy and integrity. Production information is centrally managed and stored through an information management platform, ensuring clear information classification, orderly storage, and easy access and use. QR code labels are used to record and transmit detailed production information, enabling efficient tracking and management of workpiece information. Production process information is dynamically adjusted based on production order information, ensuring that the production process for each batch meets customer needs and quality standards.

[0093] In practical applications of this embodiment, S2 specifically includes:

[0094] S21. The machine vision recognition device screens each batch of solid wood flooring workpieces and obtains the defect score of each solid wood flooring workpiece in that batch.

[0095] In this embodiment, the machine vision recognition device operates as follows: The device is equipped with a high-resolution camera and image processing software. Each solid wood flooring workpiece enters the scanning area of ​​the recognition device sequentially via a conveyor belt. The camera captures surface images of the solid wood flooring workpiece, and the image processing software analyzes the images to identify surface defects such as cracks, knots, and color differences. The software generates a defect score for each solid wood flooring workpiece based on the type and severity of the defect.

[0096] For example, suppose there is a batch of solid wood flooring pieces, batch number Batch001, containing 100 pieces. Image acquisition is performed on each piece of solid wood flooring in the batch using a machine vision device. A high-resolution camera captures images of the front and back of each piece. Preprocessing steps, including noise reduction, contrast enhancement, and edge detection, yield clear flooring images. Specific algorithms are used to extract important features from the images, such as: color features: color difference and unevenness of the wood flooring; texture features: texture patterns on the wood surface; and defect features: knots, cracks, wormholes, etc. A convolutional neural network (CNN) model is used to analyze the extracted features and identify the defect locations in the images. Defects are classified according to severity and type, such as minor color difference, small knots, and severe cracks. Based on the type and number of defects, a defect score is calculated for each piece of solid wood flooring. The specific scoring criteria can be as follows: slight color difference: deduct 1 point, small knots: deduct 2 points, serious cracks: deduct 5 points, wormholes: deduct 3 points; finally, all 100 solid wood flooring pieces in Batch001 are scored, and a report containing the defect score of each piece is generated.

[0097] S22. Solid wood flooring workpieces with a defect score greater than or equal to a preset value are considered solid wood flooring workpieces that meet the preset standard conditions.

[0098] S23. Solid wood flooring workpieces that meet the pre-set standard conditions are classified according to the required wood type and material source in the production order information, and different types of solid wood flooring workpieces are placed in different trays.

[0099] For example, 100 solid wood flooring pieces in a batch pass through a machine vision recognition device sequentially. Each piece is scanned by a camera, and the software calculates a defect score for each piece using an image processing algorithm. After generating the defect score, the machine vision recognition device compares it to a preset threshold of 70 points. Flooring with a defect score of 70 or higher is classified as compliant, while the rest are classified as non-compliant. Of the 80 compliant flooring pieces, 50 are made of oak from supplier XYZ, and 30 are made of maple from supplier ABC. The system categorizes these two types of flooring separately and places them in different pallets. A barcode scanner scans the QR code on the pallet to obtain information about the flooring contained within. Each pallet's QR code label details the order number, customer name, product specifications, material source, quantity, and the piece's status (compliant or non-compliant). This information plays a crucial role in subsequent production and shipping management, ensuring that each piece of flooring can be accurately tracked and managed.

[0100] In the practical application of this embodiment, the defect score of the solid wood flooring workpiece is calculated using formula (1);

[0101] The formula (1) is:

[0102]

[0103] D i This is the defect score of the i-th solid wood flooring piece in this batch; this score is used to quantify the degree of defect in each solid wood flooring piece. The higher the value, the more severe the defect in that piece.

[0104] m represents the total number of defect types that the machine vision recognition device can identify in solid wood flooring workpieces; the number of defect types that the machine vision recognition device can identify. Examples include different types of defects such as cracks, knots, and color differences.

[0105] w j is the weight of the j-th defect type; the degree of influence of each defect type on the overall defect score. Some defects may have a greater impact on product quality, and therefore their weights will be higher.

[0106] A ij It represents the area of ​​the j-th defect type in the i-th solid wood flooring piece; the area of ​​a specific type of defect on each solid wood floor. It is used to calculate the proportion of defects relative to the total area.

[0107] A total is the total surface area of ​​the i-th solid wood flooring piece; the total surface area of ​​each solid wood floor piece. Used to normalize the defect area, ensuring that defect scores are comparable between flooring pieces of different sizes.

[0108] S ij It represents the severity of the j-th defect type in the i-th solid wood flooring piece;

[0109] c i It is a pre-set correction factor for the i-th solid wood flooring workpiece.

[0110] In this embodiment, formula (1) comprehensively considers the area, severity, and weights of different defect types, making the calculation of defect scores more accurate. Formula (1) includes all possible defect types and their influencing factors, ensuring a comprehensive assessment of defects in each floorboard. Normalization (through total surface area A) total This makes the defect scores comparable between floor workpieces of different sizes.

[0111] Specifically, the production process includes: drying process, grooving process, and coating process.

[0112] The online generation method for solid wood flooring QR codes in this embodiment also includes:

[0113] S4. Based on the process production information of each solid wood flooring workpiece in the pallet obtained through the manufacturing execution system during the processing according to the production process flow information, and the pre-set process standard information corresponding to the production process, generate production prompt information.

[0114] The process production information corresponding to the drying production process is the moisture content of the solid wood flooring workpiece; the process standard information corresponding to the drying production process is the standard moisture content of the solid wood flooring workpiece.

[0115] The process production information corresponding to the grooving production process is the grooving depth of the solid wood flooring workpiece; the process standard information corresponding to the grooving production process is the standard grooving depth of the solid wood flooring workpiece.

[0116] The process production information corresponding to the coating production process includes: the paint film thickness, paint film hardness, and paint film surface gloss of the solid wood flooring workpiece; the process standard information corresponding to the coating production process includes the standard paint film thickness, standard paint film hardness, and standard paint film surface gloss of the solid wood flooring workpiece.

[0117] In this embodiment, the manufacturing execution system acquires real-time process production information for each step and compares it with preset process standard information. Real-time production prompts are generated to ensure that each step meets standard requirements. Real-time comparison of actual process production information with standard process information helps identify and correct deviations in the production process, ensuring the consistency and stability of the final product quality. Information from each step of the production process for every solid wood flooring piece is recorded and marked with a QR code label, making every step of the production process traceable. This provides a solid data foundation for subsequent quality inspection, problem tracking, and responsibility allocation. Real-time acquisition and analysis of production data helps production managers better understand the production status, optimize production processes, reduce waste, and improve production efficiency. Through the final QR code label, customers can scan to understand the entire production process, increasing transparency and enhancing customer trust and satisfaction.

[0118] By acquiring real-time process production information through the Manufacturing Execution System (MES) and comparing it with preset standards, deviations in the production process can be detected and corrected in a timely manner, ensuring that every production step meets the standard requirements. The process production information for each step is recorded in detail and linked via QR code labels, ensuring that every solid wood flooring component can be tracked at every stage of production. Customers can scan the final QR code label to understand the product's production process. This transparency not only increases customer trust but also enhances customer understanding and acceptance of the product.

[0119] For example, suppose the specific process information in the production process is as follows:

[0120] Process information for the drying production process: moisture content of each floorboard piece; process standard information: moisture content 8-12%.

[0121] Process information for the grooving production process: Grooving depth for each floorboard; Process standard information: Grooving depth 2mm.

[0122] Process information for coating production: paint film thickness, paint film hardness, and paint film surface gloss for each floor workpiece; process standard information: standard paint film thickness 0.5mm, other parameters such as standard paint film hardness and standard paint film surface gloss can be preset according to specific process requirements.

[0123] In this way, it can be ensured that every solid wood flooring component in the production process meets the customer's quality requirements, and efficient monitoring and management can be achieved throughout the production process, ultimately improving product quality and customer satisfaction.

[0124] Specifically, S4 includes:

[0125] S41. Based on the process production information of each solid wood flooring workpiece in the tray during any production process processed according to the production process flow information and the pre-set process standard information corresponding to the production process, obtain the absolute difference of each solid wood flooring workpiece in the tray during the production process.

[0126] The absolute difference is calculated using formula (2);

[0127] The formula (2) is: d x =|a x -b|;

[0128] Among them, a x b represents the process production information for any production step of the x-th solid wood flooring workpiece in the tray, processed according to the aforementioned production process flow information; b represents the process production information related to a. x Corresponding process standard information; dx Let x be the absolute difference of the x-th solid wood flooring piece in the tray.

[0129] For example, suppose a x Let b be the film thickness of the x-th solid wood flooring piece in the tray during any production process according to the aforementioned production process information. Then, b is the thickness of the film at any production step in which a is processed. x The corresponding standard paint film thickness.

[0130] By calculating the absolute differences of each solid wood flooring piece in the production process and comparing them with process standards, process deviations in the production process can be accurately quantified. This quantification method provides a basis for precise control of the production process and helps to identify and correct deviations in production.

[0131] S42. Based on the absolute difference of each solid wood flooring workpiece in the pallet during this production process, obtain the deviation range;

[0132] S43. Based on the absolute difference of each solid wood flooring workpiece in the tray in this production process and the deviation range, determine the proportion of the absolute difference of the solid wood flooring workpiece in the tray in this production process within the deviation range.

[0133] S44. Based on the proportion of the absolute difference of the solid wood flooring workpiece in the tray within the deviation range in this production process and the preset proportion threshold, generate production prompt information.

[0134] In this embodiment, formula (2) is used for precise calculation, which can accurately describe the process deviation of each workpiece. Combined with the information of the process standard, this makes the control of the production process more scientific and accurate. By analyzing the proportion and deviation range of absolute differences, we can gain a more comprehensive understanding of the changes in the production process and make data-driven decisions to optimize the production process. Automated generation of production prompts can reduce manual intervention, improve production efficiency, and ensure that the production process can be adjusted in a timely manner to maintain its optimal state. Setting clear process standards and proportion thresholds can ensure the consistency of the production process and the stability of the product, thereby improving the controllability of the production process and the quality of the product.

[0135] In this embodiment, the deviation range is

[0136] Where g is a pre-defined constant;

[0137]

[0138] Where X is the total number of solid wood flooring pieces in the tray;

[0139]

[0140] In this embodiment, the deviation range is calculated based on the manufacturing process information of each workpiece, which can accurately quantify the deviation of each workpiece during the process. This helps to identify problems in production and make timely adjustments. (s) d This statistic represents the degree of dispersion between workpieces. It reflects the consistency and stability of the workpieces and helps assess the reliability of the production process. The value can be used to obtain the average production information of all solid wood flooring pieces in a pallet at a certain production stage. This average value provides a benchmark for deviation analysis. Here, g is a pre-set constant. By adjusting the value of g, the width of the deviation range can be flexibly controlled to adapt to different production requirements. Through detailed mathematical calculations and analysis, possible deviations in the production process can be quantified. This quantification method helps production managers control product quality more accurately and reduce the generation of defective products. Precise deviation range calculation helps the production process to conduct quality control more efficiently. By reducing errors and uncertainties in human judgment, production efficiency can be improved, and rework and scrap rates can be reduced.

[0141] Specifically, S44 includes:

[0142] If the absolute difference of the solid wood flooring workpiece in the tray during this production process is greater than or equal to the proportion within the deviation range, then a first production prompt message is generated on the information control platform.

[0143] The first production notification message indicates that the solid wood flooring workpiece in the tray has passed the production process.

[0144] If the absolute difference of the solid wood flooring workpiece in the tray during this production process is less than the proportion of the deviation within the specified deviation range, then a second production prompt message will be generated on the information control platform.

[0145] The second production notification indicates that the solid wood flooring component in the tray is defective in this production process.

[0146] The production notification information includes a first production notification information and a second production notification information.

[0147] In this embodiment, a preset proportional threshold is used as the judgment standard, making quality control in the production process more scientific and objective, and reducing errors caused by subjective judgment. The systematic feedback of production alerts to the information management platform ensures that managers can quickly receive the latest information on the production status, thereby achieving effective management. Through clear production alerts, managers can more quickly understand the production status and quality level, thus making more targeted adjustments and decisions.

[0148] Among them, the severity S of the j-th defect type of the i-th solid wood flooring workpiece ij It is calculated in advance using formula (3);

[0149] The formula (3) is:

[0150]

[0151] α, β, γ, and δ are pre-defined weighting coefficients;

[0152] D ij Let be the depth of the j-th defect type in the i-th solid wood flooring piece in this batch;

[0153] E ij The pre-defined functional impact level corresponding to the j-th defect type of the i-th solid wood flooring piece in this batch;

[0154] R ij This is the pre-set repair difficulty corresponding to the j-th defect type of the i-th solid wood flooring piece in this batch.

[0155] In this embodiment, the severity of each defect type is quantified using formula (3), which helps to objectively assess the impact of different defects. Formula (3) in this embodiment considers multiple factors such as defect depth, functional impact, and repair difficulty, and assigns a weighting coefficient to each factor. This method, which comprehensively considers multiple factors, can fully assess the impact of defects and avoid the one-sidedness of single-factor assessment. Based on the pre-set weighting coefficients, the weights of each factor can be adjusted according to the actual situation to adapt to different production needs and quality standards. By adjusting the weighting coefficients, the assessment method can be made more flexible and adaptable.

[0156] In the drying process, the drying temperature T is adjusted using formula (4). d To ensure that the solid wood flooring workpieces reach the standard moisture content at a pre-set drying time T;

[0157] The formula (4) is:

[0158]

[0159] H0 represents the moisture content of the solid wood flooring workpiece at the start of the drying process.

[0160] H f This refers to the standard moisture content of solid wood flooring components.

[0161] T is the preset drying time;

[0162] k0 is a pre-obtained reference frequency factor for the migration and evaporation of water molecules inside the solid wood flooring workpiece during the drying process in solid wood flooring production;

[0163] E a This refers to the energy required to overcome beforehand for water molecules inside the solid wood flooring workpiece to migrate and evaporate during the drying process in solid wood flooring production; when E a The higher the energy level, the slower the reaction rate typically is, because only a small percentage of molecules gain enough energy to overcome the energy barrier. Conversely, when E... a The lower the energy level, the faster the reaction rate, because more molecules can obtain enough energy to overcome the energy barrier.

[0164] In this embodiment, k0 and E during the wood drying process were measured in advance through experiments. a The specific value.

[0165] R is the gas constant; in this embodiment, the gas constant is a common physical constant that appears in various physical and chemical equations, including the ideal gas law.

[0166] T d This refers to the drying temperature.

[0167] Formula (4) can effectively adjust the drying temperature to ensure that the moisture content of the wood meets the requirements during the drying process. Formula (4) allows for more precise control of the drying process, improving production efficiency and product quality.

[0168] This embodiment presents a method for online generation of QR codes for solid wood flooring. By using a machine vision recognition device to screen each batch of solid wood flooring workpieces, it ensures compliance with pre-set quality standards, thereby guaranteeing the quality of the final product. Each pallet is equipped with a QR code label recording production order information and workpiece information, making the production process of each workpiece traceable and facilitating quality control and after-sales service. Using an information management platform and manufacturing execution system, process production information for each step of the production process is centrally managed and stored, simplifying information management processes and reducing information loss and confusion. Based on production order information, the production process flow information is dynamically adjusted, flexibly responding to different customer needs and specifications, improving customer satisfaction. By generating a final QR code label containing detailed production process information, the entire production process is transparent and visible, improving traceability and aiding in quality control and problem tracing.

[0169] Example 2

[0170] This embodiment provides a method for online generation of QR codes for solid wood flooring. The method is applied to a solid wood flooring QR code online generation system, which includes: an information management platform and a machine vision recognition device, a barcode scanning device, and a manufacturing execution system connected to the information management platform to collect process information for each production step in the solid wood flooring production process. The online QR code generation method includes:

[0171] Step 1: Import the solid wood flooring production order information into the information management platform through the data interface developed in the client software. The order information includes the order number, customer name, product specifications, required wood type, material source, total production quantity, delivery time, and quality standards.

[0172] Step 2: The information management platform breaks down the solid wood flooring order information and pre-determines the production process, generating corresponding production process information. For example, the 1,000 pieces of solid wood flooring in the order need to go through processes such as drying, grooving, and finishing. The parameters and operators for each production process are also generated here.

[0173] Step 3: Solid wood flooring enters the blank production process. The surface defects of the solid wood flooring workpiece are detected online by a machine vision recognition device to obtain the defect score of each solid wood flooring workpiece.

[0174] In this embodiment, the solid wood flooring workpiece is mainly image-acquisitioned and feature-annotated using a machine vision recognition device. Deep clustering algorithms and convolutional neural networks (CNN) are used to classify and grade the quality of the solid wood flooring workpiece.

[0175] The machine vision recognition device uses a high-resolution camera to acquire images of solid wood flooring workpieces, ensuring clear and detailed images. Then, image processing techniques are used to extract features such as color, texture, knots, and cracks. A deep clustering algorithm is used to cluster these image features, grouping samples with similar features into one class for subsequent processing. A CNN model is then trained to automatically identify and classify the solid wood flooring workpieces, achieving efficient and accurate quality grading. Based on the results of deep clustering and CNN, the wood flooring blanks are graded according to quality, and different grades of solid wood flooring workpieces are labeled. The wood flooring samples of different quality grades are stored separately for subsequent production.

[0176] Step 4: Select and grade solid wood flooring pieces based on defect scores, and manage batches of pieces that meet the order quality standards. Using a pallet coding method, solid wood flooring pieces from the same batch are categorized into different pallets according to the required wood type and material source in the production order information, and each pallet is assigned a QR code label containing production order information and the type of solid wood flooring piece in the pallet.

[0177] Step 5: The information management platform generates a QR code for the solid wood flooring using a customized encoding and decoding protocol. The QR code label can be printed on label paper or attached to a work order, or sprayed onto the pallet of the solid wood flooring workpiece.

[0178] Step 6: After the pallet QR code information is read by the scanning device, it is imported into the information management platform, and the pallet information is transferred to the next production process.

[0179] Step 7: Based on the order matching and quality grading, design the next process and carry out the production processes of drying, grooving, and coating of wood flooring according to the order information and quality standards. Record and track the process parameters and production information of each production process through the manufacturing execution system.

[0180] Step 8: Customize the QR code encoding for each workpiece in the information management platform to generate a comprehensive traceability QR code label containing current order information and real-time process information during production. This information includes the wood species, model, specifications, material list, process parameters, operators, and production date of the solid wood flooring workpiece.

[0181] Step 9: Based on the factory's manufacturing characteristics, determine the number of solid wood flooring pieces to be packaged on the packaging line. Pack the finished flooring pieces together, print the final QR code label, and attach it to the solid wood flooring packaging box to achieve full-process tracking and quality traceability.

[0182] Examples are given below:

[0183] Customer A placed an order for 1000 pieces of oak flooring, each measuring 1200x200x15mm. After the order information was imported into the information management platform, corresponding production process information was generated, including drying, grooving, and finishing.

[0184] A machine vision recognition device detected minor defects in 30% of the solid wood flooring pieces in a batch, while the remaining 70% were defect-free. The solid wood flooring pieces meeting the standard requirements were categorized by material and specifications, placed in different trays, and labeled with QR codes.

[0185] The QR code label includes information such as order number, workpiece specifications, and material source, and is affixed to the pallet. At the start of the drying production process, the QR code label is scanned and recorded using a barcode scanner to record the start time and moisture content parameters. Then, each production process is carried out sequentially, and the manufacturing execution system records the process information for each production process.

[0186] After all production processes of solid wood flooring are completed, the products are packaged together and a final QR code label containing order information and process production information for each production step is generated and attached to the packaging box to enable tracking and quality traceability of the entire production process.

[0187] This embodiment provides a method for online generation of QR codes for solid wood flooring. Through QR code technology, it enables end-to-end tracking from order import to finished product shipment, ensuring transparent and traceable production information for each piece of solid wood flooring. It records and tracks the process information of each production step in real time, ensuring product quality meets customer requirements and enabling rapid tracing and resolution of problems. The information management platform integrates order management, production management, and quality management functions, enabling centralized management and analysis of production data and improving enterprise management.

[0188] Example 3

[0189] In the solid wood flooring production process, the OPC UA (Open Platform Communications Unified Architecture) server collects data from various production equipment and sensors, such as wood moisture content, temperature, and quality inspection results, and publishes this data to the OPC UA client. The OPC UA client monitors key data in the production process in real time, ensuring accurate data collection and analysis at every stage, and promptly identifying and resolving quality issues. Combined with MES (Manufacturing Execution System) and ERP (Enterprise Resource Planning) systems, the OPC UA information management platform enables order management, production planning, and equipment status monitoring, improving production efficiency and management level. Through QR code technology and the OPC UA platform, end-to-end data tracking from order to finished product is achieved, ensuring accurate recording and sharing of information for every product.

[0190] For example, a machine vision recognition system can be used to detect defects on the surface of solid wood flooring, such as cracks, color differences, and knots. Based on the detection results, the solid wood flooring pieces are graded for quality and sorted.

[0191] After sorting, the wood flooring components are managed in batches and palletized according to order information. Components from the same batch are categorized and placed into different pallets based on material list, wood species, and specifications. Each pallet is affixed with a QR code label containing detailed information about the batch (such as order number, material, and specifications). The pallet QR code data is scanned and imported into the information management platform, simultaneously transferring the data to the next process work order.

[0192] Paper-based work order management is used for the drying and curing of wood flooring workpieces, manual wicking and grooving, and finishing processes. At each process step, the work order records relevant workpiece information and processing status. The drying and curing equipment, wicking and grooving equipment, and finishing production line equipment are connected to an information management platform via a cloud server. This allows for real-time recording and management of the status, material properties, and equipment parameters of each workpiece at each stage of the process.

[0193] All material, equipment attribute data, and process information data are fed back to the data interface specified by the OPCUA or other information management platform protocol through the Manufacturing Execution System (MES). The data is stored in the information management platform for subsequent tracking and analysis.

[0194] A corresponding QR code label is generated for each solid wood flooring piece in the information management platform.

[0195] The QR code contains two types of information: order information: tree species, model, specifications, material list, and attribute names of each section or process.

[0196] Dynamic real-time information: real-time process parameters, formaldehyde test values, relevant operators, manufacturing date, etc.

[0197] The QR code integrates all key information from the current solid wood flooring production process, enabling comprehensive traceability of each workpiece.

[0198] Based on the factory's manufacturing characteristics, the number of pieces to be packaged on the packaging line is determined, and the completed solid wood flooring pieces are then packaged together. After packaging, the information management platform or cloud server platform assigns a customized QR code to the final information of the solid wood flooring production.

[0199] The printed QR code labels are automatically or manually affixed to the solid wood flooring packaging boxes. The QR code labels contain key information such as tree species, specifications, batch number, order number, and manufacturing information.

[0200] This system enables effective linking and synchronous tracking of work order information and manufacturing data throughout the entire solid wood flooring manufacturing process. A QR code system is used to ensure product quality tracking and anti-counterfeiting traceability.

[0201] Through the above steps, this invention provides an online generation and tracking method for the solid wood flooring production process based on QR codes, refining and optimizing each key node in solid wood flooring production. By comprehensively applying machine vision inspection, pallet batch management, paper work order circulation, MES system data feedback, and final packaging QR codes, it achieves full-process data collection, management, and tracking from order management to finished product shipment, improving production efficiency and product quality traceability.

[0202] In the description of this invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0203] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0204] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first and second features are in direct contact, or that they are in indirect contact through an intermediate medium. Furthermore, "above," "over," or "on top" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," or "beneath" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0205] In the description of this specification, the terms "one embodiment," "some embodiments," "embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0206] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make modifications, alterations, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for generating QR codes for solid wood flooring online, characterized in that, The online QR code generation method is applied to a solid wood flooring QR code online generation system. The system includes: an information management platform and a machine vision recognition device, a barcode scanning device, and a manufacturing execution system connected to the information management platform to collect process information for each production step in the solid wood flooring production process. The online QR code generation method includes: S1. Obtain solid wood flooring production order information and determine the corresponding production process information based on the solid wood flooring production order information; The production order information includes: order number, customer name, product specifications, required wood type, material source, total quantity of wood flooring to be produced, delivery time, and customer-specified quality standards; The product specifications include the model, size, and thickness of the wood flooring; The production process information includes: the production steps required from the initial solid wood flooring workpiece to the solid wood flooring workpiece meeting the quality standards specified by the customer, the production process parameters required for each production step, and the names of the operators corresponding to each production step; S2. Each batch of solid wood flooring workpieces is screened using a machine vision recognition device, and the solid wood flooring workpieces that meet the pre-set standard conditions are classified according to the production order information, and different types of solid wood flooring workpieces are placed into different trays respectively. Each pallet is equipped with a QR code label corresponding to that pallet. The information in the QR code label includes production order information and information about the type of solid wood flooring workpieces carried on the pallet. S3. Based on the information in the QR code label of any pallet obtained by the scanning device and the process production information of each solid wood flooring workpiece in the pallet obtained by the manufacturing execution system during the processing of each production step in accordance with the production process flow information, generate the final QR code label corresponding to the pallet. The method further includes: S4. Based on the process production information of each solid wood flooring workpiece in the pallet obtained through the manufacturing execution system during the processing according to the production process flow information, and the pre-set process standard information corresponding to the production process, generate production prompt information. The process production information corresponding to the drying production process is the moisture content of the solid wood flooring workpiece; the process standard information corresponding to the drying production process is the standard moisture content of the solid wood flooring workpiece. The process production information corresponding to the grooving production process is the grooving depth of the solid wood flooring workpiece; the process standard information corresponding to the grooving production process is the standard grooving depth of the solid wood flooring workpiece. The process production information corresponding to the coating production process includes: the paint film thickness, paint film hardness, and paint film surface gloss of the solid wood flooring workpiece; the process standard information corresponding to the coating production process includes the standard paint film thickness, standard paint film hardness, and standard paint film surface gloss of the solid wood flooring workpiece. S4 specifically includes: S41. Based on the process production information of each solid wood flooring workpiece in the tray during any production process processed according to the production process flow information and the pre-set process standard information corresponding to the production process, obtain the absolute difference of each solid wood flooring workpiece in the tray during the production process. The absolute difference is calculated using formula (2); The formula (2) is: ; in, b is the process production information for any production step of the x-th solid wood flooring workpiece in the tray, processed according to the aforementioned production process flow information; Corresponding process standard information; Let x be the absolute difference of the x-th solid wood flooring piece in the tray; S42. Based on the absolute difference of each solid wood flooring workpiece in the pallet during this production process, obtain the deviation range; S43. Based on the absolute difference of each solid wood flooring workpiece in the tray in this production process and the deviation range, determine the proportion of the absolute difference of the solid wood flooring workpiece in the tray in this production process within the deviation range. S44. Based on the proportion of the absolute difference of the solid wood flooring workpiece in the tray within the deviation range in this production process and the preset proportion threshold, generate production prompt information; The deviation range is ; Where g is a pre-defined constant; ； Where X is the total number of solid wood flooring pieces in the tray; 。 2. The method for generating QR codes for solid wood flooring online according to claim 1, characterized in that, S2 specifically includes: S21. The machine vision recognition device screens each batch of solid wood flooring workpieces and obtains the defect score of each solid wood flooring workpiece in that batch. S22. Solid wood flooring workpieces with a defect score greater than or equal to a preset value are considered solid wood flooring workpieces that meet the preset standard conditions. S23. Solid wood flooring workpieces that meet the pre-set standard conditions are classified according to the required wood type and material source in the production order information, and different types of solid wood flooring workpieces are placed in different trays.

3. The method for online generation of QR codes for solid wood flooring according to claim 2, characterized in that, The defect score of the solid wood flooring workpiece is calculated using formula (1); The formula (1) is: ； D i It is the defect score of the i-th solid wood flooring piece in this batch; m is the total number of defect types that the machine vision recognition device can identify in solid wood flooring workpieces; w j It is the weight of the j-th defect type; A ij It is the area of ​​the j-th defect type in the i-th solid wood flooring workpiece; A total It is the total surface area of ​​the i-th solid wood flooring piece; S ij It represents the severity of the j-th defect type in the i-th solid wood flooring piece; c i It is a pre-set correction factor for the i-th solid wood flooring workpiece.

4. The method for generating QR codes for solid wood flooring online according to claim 3, characterized in that, The production process includes: drying process, grooving process, and coating process.

5. The method for online generation of QR codes for solid wood flooring according to claim 4, characterized in that, S44 specifically includes: If the percentage of the absolute difference of the solid wood flooring workpiece in the tray within the deviation range in this production process is greater than or equal to a preset percentage threshold, then a first production prompt message will be generated on the information control platform. The first production notification message indicates that the solid wood flooring workpiece in the tray has passed the production process. If the absolute difference of the solid wood flooring workpiece in the tray during this production process is less than the percentage value of the deviation range within the set percentage threshold, a second production prompt message will be generated on the information control platform. The second production notification indicates that the solid wood flooring component in the tray is defective in this production process. The production notification information includes a first production notification information and a second production notification information.

6. The method for generating QR codes for solid wood flooring online according to claim 5, characterized in that, in, The severity of the j-th defect type in the i-th solid wood flooring workpiece It is calculated in advance using formula (3); The formula (3) is: ； , , , These are pre-set weighting coefficients; Let be the depth of the j-th defect type in the i-th solid wood flooring piece in this batch; The pre-defined functional impact level corresponding to the j-th defect type of the i-th solid wood flooring piece in this batch; This is the pre-set repair difficulty corresponding to the j-th defect type of the i-th solid wood flooring piece in this batch.

7. The method for generating QR codes for solid wood flooring online according to claim 6, characterized in that, The drying temperature is adjusted using formula (4) during the drying process. To ensure that the solid wood flooring workpieces reach the standard moisture content at a pre-set drying time T; The formula (4) is: ； This refers to the moisture content of the solid wood flooring workpiece at the start of the drying production process. The standard moisture content of the solid wood flooring workpiece is T; T is the preset drying time. The reference frequency factor for the migration and evaporation of water molecules inside the solid wood flooring workpiece during the drying process in solid wood flooring production is obtained in advance; This refers to the energy required to overcome in advance to allow water molecules inside the solid wood flooring workpiece to migrate out of the workpiece structure and evaporate during the drying process in solid wood flooring production; R is the gas constant; This refers to the drying temperature.

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