Warehousing traceability method for teak slitting raw materials
Through the combination of QR code and warehousing management system, the problem of warehousing management and traceability after teak slitting is solved, efficient classification storage and accurate out-of-warehousing of teak raw materials is achieved, and warehousing efficiency and product quality are improved.
Patent Information
- Application Number
- CN202411355376.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-27
- Publication Date
- 2025-01-14
AI Technical Summary
After teak slicing, the shapes and types are different, making it difficult to achieve warehousing management and traceability, resulting in low storage efficiency and difficult to guarantee product quality, affecting the development of the industry.
Using QR code identification and warehousing management system, generate a unique QR code to record raw material information, realize classified storage, quantity statistics and real-time inventory updates, and optimize the outbound process through quantitative comparison indicators and matching indexes to ensure the accuracy of outbound raw materials. Sex and reliability.
It improves the transparency and traceability of warehousing information, simplifies inventory management and outbound processes, reduces the risk of human error, ensures the real-time and accuracy of inventory data, and improves outbound efficiency and product quality.
Smart Images

Figure CN119313354A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of wood storage, and in particular relates to a storage traceability method for teak cut raw materials. Background Art
[0002] In the wood processing industry, teak is a high-quality and durable raw material that is favored for its unique texture, color and weather resistance. Its storage management after cutting is crucial for subsequent processing and quality control. In the processing of teak, in order to better match the order requirements, the market practice is to find large pieces of teak logs for cutting according to the order, or directly purchase teak raw materials in the wholesale market. However, this approach can only control the size of the material, but not the color and texture of the material. At present, companies specializing in teak home production can subdivide teak materials. After the initial processing and cutting, teak will be carefully classified and stored according to its origin, batch and shape. This classification method not only helps to trace the quality of the material and ensure the consistency of the quality of each batch of products, but also can quickly locate the source of the problem when quality problems occur, take corresponding measures and reduce losses. For high-end teak, different origins often lead to differences in wood color, texture and physical properties. Therefore, strict classification and storage are indispensable.
[0003] However, compared with the storage of standardized products such as veneers, the storage management of teak faces many challenges. Due to the high uniformity of shape and specifications of veneers, automated warehousing and outbound systems are widely used, greatly improving warehousing efficiency and accuracy. In contrast, teak raw materials need to go through a complex cutting process before entering the warehouse to meet different processing needs. In this process, teak is cut into raw materials of various shapes and sizes, with a wide variety of categories, which not only increases the complexity of warehousing management, but also makes the traceability of materials particularly difficult. In addition, when teak raw materials are shipped out of the warehouse, in order to ensure a high degree of match with the order requirements, it is often necessary to manually carefully compare the size, color and unique wood grain characteristics of the raw materials. This process is time-consuming and labor-intensive, and is easily affected by human factors, reducing overall work efficiency.
[0004] In view of the above problems, especially for high-value and diverse solid wood raw materials such as teak, the lack of storage and traceability management has become a bottleneck restricting the development of the industry. The existing management method is not only difficult to meet the requirements of rapid response to market demand, but may also cause frequent product quality problems due to unclear traceability, damaging the company's reputation. Therefore, it is urgent to provide an efficient and accurate teak cutting raw material storage traceability method to achieve refined management of the entire chain of teak raw materials from warehousing to delivery, improve storage efficiency, ensure product quality, and promote the sustainable development of the wood processing industry. Summary of the invention
[0005] In view of the problems in the related technology, the present invention proposes a storage traceability method for teak cut raw materials to solve the technical problems that the existing teak cuts have different shapes and various categories, making it difficult to achieve storage management and traceability.
[0006] The technical solution of the present invention is implemented as follows: a storage traceability method for teak cut raw materials, comprising the following steps:
[0007] S11, generating a QR code: cutting teak logs into teak raw materials; generating a unique QR code for each batch or each piece of cut teak raw materials, wherein the QR code records raw material information; the raw material information includes batch number, specification, quantity and supplier information of the teak raw materials;
[0008] S12, warehousing operation: print the generated QR code and paste it on the shelf position, and store the cut teak raw materials in the corresponding shelf position;
[0009] S13, inventory management: inventory management of the raw material information recorded in the QR code is performed through the warehouse management system, and the inventory management includes classified storage, quantity statistics and real-time update of inventory status of teak raw materials;
[0010] S21. Shipment application: When teak raw materials need to be shipped, a shipment application is submitted according to the production order;
[0011] S22, warehouse delivery review: review the warehouse delivery application, search in the warehouse management system, and select teak materials that meet the interval size requirements as candidate materials; mark the shelf location where the candidate materials are located, and form a warehouse delivery application form;
[0012] S23, outbound operation: according to the outbound application form, the candidate raw materials on the corresponding shelf position are taken out for matching; if the matching is successful, the candidate raw materials are outbound; if the matching is unsuccessful, the candidate raw materials are reset;
[0013] When the goods are shipped out, scan the QR code on the corresponding shelf, and the warehouse management system automatically identifies and displays the raw material information of the teak raw materials. After the warehouse manager verifies that the raw material information is correct, he confirms the shipment.
[0014] S24. Inventory data update: The warehouse management system automatically updates the inventory data, reduces the quantity of the corresponding teak raw materials and generates outbound records, recording the outbound time, quantity, and destination information of the teak raw materials.
[0015] In the present invention, by generating a unique QR code for each batch or each piece of cut teak raw material and recording detailed raw material information, the transparency and traceability of warehouse information are greatly improved. The warehouse management system is used to uniformly manage the raw material information recorded by the QR code, so as to realize the classified storage, quantity statistics and real-time inventory status update of teak raw materials, optimize the inventory structure and reduce inventory costs. In the outbound link, through the retrieval function of the warehouse management system, teak raw materials that meet the specification requirements can be quickly found as candidate raw materials, and the shelf position where they are located can be marked to form an outbound application form. The warehouse manager performs matching operations based on the outbound application form, and checks whether the raw material information displayed by the QR code is consistent with the outbound application form. Only after it is correct can the outbound be confirmed, which ensures the accuracy and reliability of the outbound raw materials.
[0016] As a further improvement of the above solution, in step S23, the matching operation includes the following steps:
[0017] S231, select the reference raw material;
[0018] S232, comparing each candidate raw material with the reference raw material to obtain a matching index of each candidate raw material;
[0019] S233, sorting the matching indexes of the candidate raw materials, and selecting the candidate raw material with the smallest matching index for shipment.
[0020] By clearly selecting the benchmark raw materials, a clear and quantifiable reference standard is provided for the selection of teak raw materials, avoiding interference from human factors and ensuring the accuracy and objectivity of the outbound process; by comparing each candidate raw material with the benchmark raw material and calculating the matching index, the similarity or adaptability between the candidate raw material and the benchmark raw material can be comprehensively and meticulously evaluated, intuitively reflecting the differences and advantages and disadvantages between the raw materials, and providing strong data support for the outbound process. Finally, by sorting the matching index and selecting the most suitable candidate raw material for outbound delivery, the cumbersome process of manual outbound selection is simplified, production costs are optimized, and product quality is improved.
[0021] As a further improvement of the above scheme, in step S232, when comparing each candidate raw material with the reference raw material, a quantitative comparison index is also included, and the comparison index includes specification, color and wood grain; a weight is assigned to each comparison index, and a matching index of each candidate raw material is calculated according to the quantitative value of the comparison index, and the formula is as follows:
[0022] P 候选原料 =(ω 规格 ×S 规格 )+(ω 颜色 ×S 颜色 )+(ω 木纹 ×S 木纹 );
[0023] P 候选原料 represents the matching index, ω 规格 represents the weight of the specification, S 规格 Represents the quantitative value of the specification, ω 颜色 Indicates the weight of the color, S 颜色 Represents the quantized value of color, ω 木纹 Represents the weight of the wood grain, S 木纹 Represents the quantitative value of wood grain; where ω 规格 <ω 颜色 <ω 木纹 , and ω 规格 +ω 颜色 +ω 木纹 =1.
[0024] By introducing quantitative comparison indicators, including specifications, colors, and wood grain, specific and quantifiable evaluation dimensions are provided for the comparison between candidate raw materials and benchmark raw materials. These indicators are directly related to the physical properties and appearance of raw materials, and are key factors in evaluating the adaptability of raw materials. Weights are assigned to each comparison indicator, fully considering the importance and influence of different indicators in the raw material selection process. The reasonable allocation of weights makes the calculation of the matching index more scientific and reasonable, and can more accurately reflect the comprehensive matching degree between candidate raw materials and benchmark raw materials. Finally, based on the quantitative value of the comparison indicator and the assigned weight, the matching index of each candidate raw material is calculated. This step realizes the accurate quantification of raw material selection. As a comprehensive evaluation value, the matching index not only takes into account multiple comparison indicators, but also takes into account the relative importance of each indicator, thereby greatly improving the accuracy and reliability of raw material selection.
[0025] As a further improvement of the above scheme, the quantitative value calculation method of the specification is as follows: compare the difference percentage of each specification between the candidate raw material and the benchmark raw material respectively, and take the average of the difference percentage of each specification, which is recorded as S 规格 ; Among them, specification difference percentage = |candidate raw material specification-reference raw material specification| / reference raw material specification×100%;
[0026] In the existing technology, the comparison of specifications often relies on manual measurement and subjective judgment, which is not only time-consuming and labor-intensive, but also prone to errors. The specification quantification value calculation method proposed by the warehouse traceability method achieves accurate quantification of specifications by calculating the percentage difference of each specification between the candidate raw material and the benchmark raw material. It not only simplifies the comparison process and improves work efficiency, but more importantly, it eliminates the uncertainty caused by human factors, making the specification comparison more objective and accurate, thereby making a more scientific and reasonable choice.
[0027] The color quantization value calculation method is as follows: In the RGB space, the Euclidean distance is used to calculate the color difference percentage between the candidate raw material and the reference raw material, which is recorded as S颜色 ;
[0028] Compared with traditional color comparison methods, such as visual comparison or simple colorimeter measurement, the Euclidean distance calculation method has higher accuracy and stability. By quantifying the color comparison index, companies can intuitively understand the degree of color matching between candidate raw materials and benchmark raw materials, thereby ensuring the consistency and aesthetics of the appearance of teak products.
[0029] The method for calculating the quantitative value of wood grain is as follows: respectively obtaining images of the candidate raw material and the reference raw material, and preprocessing the images to obtain a candidate wood grain image and a reference wood grain image; respectively performing edge extraction on the candidate wood grain image and the reference wood grain image to obtain a candidate fitting curve and a reference fitting curve, and calculating the wood grain difference percentage between the two, which is recorded as S 木纹 .
[0030] Wood grain is a unique texture feature of wood and other raw materials. Its complexity and diversity bring challenges to quantitative comparison. Compared with traditional wood grain comparison methods, such as visual comparison or simple texture matching algorithms, this method can more accurately reflect the similarities and differences between candidate raw materials and reference raw materials in wood grain, and more comprehensively evaluate the wood grain quality of candidate raw materials, so as to select raw materials that meet the requirements better.
[0031] As a further improvement of the above solution, in step S232, each candidate raw material and the reference raw material are placed on a test table for comparison;
[0032] A vertical plate is provided on one side of the inspection table, and a CCD camera is movably installed on the vertical plate. The CCD camera can be adjusted and moved along the X-axis direction, the Y-axis direction, and the Z-axis direction to obtain images of the reference raw materials and the candidate raw materials on the inspection table; the CCD camera is connected to a computer, and the computer has built-in image processing software for pre-processing and edge extraction of the images transmitted from the CCD camera.
[0033] The CCD camera installed on the vertical plate on one side of the inspection table can be freely adjusted and moved along the three directions of X-axis, Y-axis and Z-axis. No matter what the shape and size of the reference raw material and the candidate raw material are, the position and angle of the CCD camera can be adjusted to capture their images at the best viewing angle, providing high-quality raw data for subsequent comparative analysis. By connecting to a computer, the CCD camera can transmit images to the computer in real time, and use the built-in image processing software for further processing and analysis.
[0034] As a further improvement of the above solution, the shelves are arranged in multiple rows in parallel, and a passage is provided between two adjacent shelves;
[0035] In step S12 and step S23, the teak raw materials are loaded and unloaded by a storage robot, and the storage robot moves back and forth along the passage; or, the teak raw materials are loaded and unloaded manually by a moving ladder, and the moving ladder moves back and forth along the passage.
[0036] The design of the channel allows storage robots or mobile ladders to easily move between the shelves for efficient loading and unloading operations. In addition, the width and position of the channel can be adjusted according to actual needs to accommodate teak materials of different sizes and weights, thus improving the flexibility and adaptability of the warehouse.
[0037] As a further improvement of the above scheme, when a storage robot is used for loading and unloading, a track is extended along the channel, and the storage robot slides on the track; the storage robot includes a walking base, and a material picking device movably installed on the walking base; the walking base is slidably connected to the track; the material picking device is used to take out or put the teak raw materials into the shelf storage space.
[0038] The use of storage robots for loading and unloading has significantly improved work efficiency and automation. The storage robot can move back and forth quickly and accurately in the channel along the preset track without direct manual operation, thus greatly reducing labor costs and labor intensity. At the same time, the robot's mechanical arm can accurately complete the removal and placement of teak raw materials, ensuring the stability and reliability of the loading and unloading process. It not only improves work efficiency, but also reduces the risk of human error and ensures the smooth operation of the production line.
[0039] As a further improvement of the above scheme, the walking base is provided with a first guide rail in the vertical direction, and a receiving platform is slidably connected to the first guide rail; a second guide rail is provided on the receiving platform, and the second guide rail extends in a horizontal direction perpendicular to the channel, and the material taking device is slidably connected to the second guide rail;
[0040] The sliding connection design between the first rail and the receiving platform, and the second rail and the material-retrieving device, gives the warehouse robot a high degree of flexibility in three-dimensional space. This flexibility enables the robot to easily cope with shelf systems of different layouts and heights, and can achieve efficient and accurate loading and unloading operations, whether it is dense storage or multi-layer high-rise shelves.
[0041] Among them, the width dimension of the material-retrieving device is smaller than the width dimension of the shelf position, and the height dimension of the material-retrieving device is 1 / 6 to 1 / 8 of the height dimension of the shelf position. The width dimension of the material-retrieving device is smaller than the width dimension of the shelf position. This design cleverly utilizes the space of the shelf position and avoids the waste of space caused by the device being too large. At the same time, the height dimension of the material-retrieving device is set to 1 / 6 to 1 / 8 of the height dimension of the shelf position. This design not only ensures sufficient material-retrieving space, but also reduces the space occupied by the storage robot during operation, making the warehouse layout more compact and significantly improving space utilization.
[0042] As a further improvement of the above scheme, the material picking device includes a base plate, on which a material picking assembly is provided, and a first driving unit driving the material picking assembly to move horizontally in a direction perpendicular to the channel; the material picking assembly includes a material picking arm, and a second driving unit driving the material picking arm to move in a vertical direction;
[0043] The picking arm is provided with a picking bracket, the output end of the second driving unit is drivingly connected to the picking bracket, and the picking bracket is provided with a plurality of pneumatic suction cups or finger cylinders for adsorbing or clamping the teak raw material.
[0044] The picking device realizes the horizontal movement of the picking component in a direction perpendicular to the channel through the first driving unit on the base plate, so that the picking device can accurately align and quickly approach the target material, improving the accuracy and efficiency of picking. At the same time, the second driving unit is responsible for driving the picking arm to move in the vertical direction, ensuring that the picking arm can flexibly adjust the height, realizing multi-dimensional and all-round flexible picking. The picking bracket set on the picking arm, combined with several pneumatic suction cups or finger cylinders, provides the picking device with a powerful material grabbing ability. Pneumatic suction cups are suitable for adsorbing materials with smooth surfaces that are difficult to clamp, such as teak board materials, while finger cylinders are suitable for occasions that require precise clamping. This combination design not only meets the grabbing needs of different materials, but also ensures the stability and reliability of material picking.
[0045] As a further improvement of the above scheme, when a mobile ladder is used for loading and unloading, the mobile ladder slides along the channel through multiple casters arranged at the bottom; the mobile ladder includes a support frame, and one side of the support frame has multiple ladder boards spaced from bottom to top, and guardrails are provided on both sides of the ladder boards; the warehouse manager climbs onto the ladder board of appropriate height to take out or put the teak raw materials into the shelf storage space.
[0046] For manual loading and unloading of materials using mobile ladders, the design of the mobile ladder also reflects the consideration of workers' safety and comfort. The mobile ladder moves back and forth along the channel, providing workers with a stable and safe working platform, reducing the risk of high-altitude operations. At the same time, the flexibility and convenience of the mobile ladder also improves the workers' work efficiency and comfort, making the loading and unloading process easier and faster.
[0047] Beneficial effects of the present invention:
[0048] (1) By generating a unique QR code for each batch or piece of cut teak raw material and recording detailed raw material information (including batch number, specifications, quantity and supplier information, etc.), the transparency and traceability of storage information is greatly improved. During the storage, delivery and subsequent use process, detailed information on the raw materials can be quickly and accurately queried at any link, providing a solid foundation for quality traceability and supply chain management.
[0049] (2) The warehouse management system is used to uniformly manage the raw material information recorded by the QR code, realizing the classified storage, quantity statistics and real-time inventory status update of teak raw materials. This not only improves the efficiency and accuracy of inventory management, but also reduces the possibility of human errors and ensures the real-time and reliability of inventory data. At the same time, the system can intelligently allocate according to actual needs, optimize inventory structure and reduce inventory costs.
[0050] (3) In the outbound process, the search function of the warehouse management system can quickly find teak materials that meet the specification requirements as candidate materials, mark their shelf locations, and form an outbound application form. This simplifies the tedious search and verification work in the traditional outbound process and improves outbound efficiency. At the same time, when outbound, the QR code on the corresponding shelf is scanned, and the warehouse management system automatically identifies and displays the raw material information, further ensuring the accuracy and convenience of outbound operations.
[0051] (4) The introduction of the outbound review and verification mechanism ensures the rigor and accuracy of outbound operations. When outbound, the warehouse manager performs matching operations based on the outbound application form and verifies whether the raw material information displayed on the QR code is consistent with the outbound application form. Only after it is confirmed, the outbound delivery can be confirmed. This process effectively prevents the occurrence of problems such as wrong shipment and missing shipment, and ensures the accuracy and reliability of outbound raw materials. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] Figure 1 It is a structural block diagram of the warehouse management system of the present invention;
[0053] Figure 2 A front view of the storage robot and the shelf provided in Example 1 of the present invention;
[0054] Figure 3A side view of the storage robot and the shelf provided in Example 1 of the present invention;
[0055] Figure 4 This is a schematic diagram of the structure of the storage robot provided in Example 1 of the present invention;
[0056] Figure 5 A schematic diagram of the structure of a material taking device provided in Example 1 of the present invention;
[0057] Figure 6 It is a structural schematic diagram of the detection platform of the present invention;
[0058] Figure 7 A front view of a movable ladder and a shelf provided in Embodiment 2 of the present invention;
[0059] Figure 8 A side view of a movable ladder and a shelf provided in Example 2 of the present invention;
[0060] Fig. 9 A schematic diagram of the structure of a mobile ladder provided in Embodiment 2 of the present invention;
[0061] Reference numerals:
[0062] 1. Shelves;
[0063] 2. Channel; 21. Track;
[0064] 3. Warehouse robots;
[0065] 31. walking base; 311. first guide rail; 312. receiving platform; 313. second guide rail;
[0066] 32. Material picking device; 321. Base plate; 322. Material picking assembly; 3221. Material picking arm; C1. Material picking bracket;
[0067] C2, pneumatic suction cup; 3222, second driving unit; 323, first driving unit;
[0068] 4. Mobile ladder; 41. Support frame; 42. Casters; 43. Ladder board; 44. Guardrail;
[0069] 5. Inspection table; 51. Vertical plate; 52. CCD camera; H1. Candidate raw material; J1. Reference raw material. DETAILED DESCRIPTION
[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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.
[0071] Example 1
[0072] like Figure 1-Figure 6 As shown, a storage traceability method for teak cutting raw materials includes the following steps:
[0073] S11, generating a QR code: cutting teak logs into teak raw materials; generating a unique QR code for each batch or each piece of cut teak raw materials, wherein the QR code records raw material information; the raw material information includes batch number, specification, quantity and supplier information of the teak raw materials;
[0074] S12, warehousing operation: print the generated QR code and paste it on the shelf position, and store the cut teak raw materials in the corresponding shelf position;
[0075] S13, inventory management: inventory management of the raw material information recorded in the QR code is performed through the warehouse management system, and the inventory management includes classified storage, quantity statistics and real-time update of inventory status of teak raw materials;
[0076] S21. Shipment application: When teak raw materials need to be shipped, a shipment application is submitted according to the production order;
[0077] S22, warehouse delivery review: review the warehouse delivery application, search in the warehouse management system, and select the teak raw materials that meet the interval size requirements as candidate raw materials H1; mark the shelf 1 position where the candidate raw material H1 is located, and form a warehouse delivery application form;
[0078] S23, outbound operation: according to the outbound application form, the candidate raw material H1 on the corresponding shelf 1 bin is taken out and matched; if the match is successful, the candidate raw material H1 is outbound; if the match is unsuccessful, the candidate raw material H1 is reset;
[0079] When the goods are shipped out, the QR code on the corresponding shelf 1 is scanned, and the warehouse management system automatically identifies and displays the raw material information of the teak raw material; after the warehouse manager verifies that the raw material information is correct, he confirms the shipment;
[0080] It should be noted that in the teak processing, in order to better match the order requirements, the market practice is to find large pieces of teak logs for cutting according to the order, or directly purchase teak raw materials in the wholesale market. However, this approach can only control the size of the material, but not the color and texture of the material. In order to better meet the requirements of the order, teak is required to be subdivided and stored. However, teak raw materials are cut into raw materials of various shapes and sizes before being put into storage, and there are many categories, which not only increases the complexity of warehouse management, but also makes the traceability of materials particularly difficult.
[0081] In order to accurately retrieve the required teak raw materials, this embodiment determines the required teak raw material specifications, wood grain and color according to the production order. First, the shelf position is determined by the interval size; for example, if the required teak raw material is a board with specifications such as 1200mm*2000mm*30mm. Then the candidate raw material needs to be slightly larger than the target specification, and the interval size can be set to: 1300mm*2100mm*35mm~1220mm*2050mm*32mm. Then determine the wood grain and color, and then compare whether the color and wood grain are close to ensure that the wood grain and color are uniform and natural after the board is assembled.
[0082] In this embodiment, in step S23, the matching operation includes the following steps:
[0083] S231, select the reference raw material J1;
[0084] S232, comparing each candidate raw material H1 with the reference raw material J1 to obtain a matching index of each candidate raw material H1;
[0085] S233 , sorting the matching indexes of the candidate raw materials H1 , and selecting the candidate raw material H1 with the smallest matching index for shipment.
[0086] It should be noted that if the production order specifies the color and wood grain of teak raw materials, teak raw materials can be used as the reference raw material J1. By clearly selecting the reference raw material J1, a clear and quantifiable reference standard is provided for the screening of teak raw materials, avoiding interference from human factors and ensuring the accuracy and objectivity of the outbound process; by comparing each candidate raw material H1 with the reference raw material J1 and calculating the matching index, the similarity or adaptability between the candidate raw material H1 and the reference raw material J1 can be comprehensively and meticulously evaluated, which intuitively reflects the differences and advantages and disadvantages between the raw materials, and provides strong data support for the outbound process. Finally, by sorting the matching index and selecting the most suitable candidate raw material H1 for outbound delivery, the cumbersome process of manual outbound selection is simplified, production costs are optimized, and product quality is improved.
[0087] In this embodiment, in step S232, each candidate raw material H1 and the reference raw material J1 are placed on the inspection table 5 for comparison; a vertical plate 51 is provided on one side of the inspection table 5, and a CCD camera 52 (Charge-Coupled Device) is movably mounted on the vertical plate 51. The CCD camera 52 is adjusted and moved along the X-axis direction, the Y-axis direction, and the Z-axis direction to obtain images of the reference raw material J1 and the candidate raw material H1 on the inspection table 5; the CCD camera 52 is connected to a computer (not shown in the figure), and the computer has built-in image processing software, such as PS software, for pre-processing and edge extraction of the image transmitted from the CCD camera 52.
[0088] The CCD camera 52 movably mounted on the vertical plate 51 on one side of the inspection table 5 can be freely adjusted and moved along the three directions of the X-axis, Y-axis and Z-axis. Regardless of the shape and size of the reference raw material J1 and the candidate raw material H1, the position and angle of the CCD camera 52 can be adjusted to capture their images at the best viewing angle, providing high-quality raw data for subsequent comparative analysis. By connecting to a computer, the CCD camera 52 can transmit images to the computer in real time, and further process and analyze them using built-in image processing software.
[0089] In step S232, when comparing each candidate raw material H1 with the reference raw material J1, a quantitative comparison index is also included, and the comparison index includes specification, color and wood grain; a weight is assigned to each comparison index, and the matching index of each candidate raw material H1 is calculated according to the quantitative value of the comparison index, and the formula is as follows:
[0090] P 候选原料H1 =(ω 规格 ×S 规格 )+(ω 颜色 ×S 颜色 )+(ω 木纹 ×S 木纹 );
[0091] P 候选原料H1 represents the matching index, ω 规格 represents the weight of the specification, S 规格 Represents the quantitative value of the specification, ω 颜色 Indicates the weight of the color, S 颜色 Represents the quantized value of color, ω 木纹 Represents the weight of the wood grain, S 木纹 Represents the quantitative value of wood grain; where ω 规格 <ω 颜色 <ω 木纹 , and ω 规格 +ω 颜色 +ω 木纹 =1.
[0092] It should be noted that due to the preliminary screening of the interval size, the specifications of the candidate raw materials have basically met the use requirements, and their weights can be set to the minimum. The color and wood grain are directly related to the adaptability of the production order, and the weights should be emphasized. By introducing quantitative comparison indicators, including specifications, color and wood grain, a specific and quantifiable evaluation dimension is provided for the comparison between the candidate raw material H1 and the benchmark raw material J1. These indicators are directly related to the physical properties and appearance effects of the raw materials, and are key factors in evaluating the adaptability of raw materials. The weights are assigned to each comparison indicator, and the importance and influence of different indicators in the raw material selection process are fully considered. The reasonable allocation of weights makes the calculation of the matching index more scientific and reasonable, and can more accurately reflect the comprehensive matching degree between the candidate raw material H1 and the benchmark raw material J1. Finally, based on the quantitative value of the comparison indicator and the assigned weight, the matching index of each candidate raw material H1 is calculated. This step realizes the accurate quantification of raw material selection. As a comprehensive evaluation value, the matching index not only considers multiple comparison indicators, but also takes into account the relative importance of each indicator, thereby greatly improving the accuracy and reliability of raw material selection.
[0093] In this embodiment, the weight distribution of each comparison index is as follows: 规格 =0.2,ω 颜色 =0.3,ω 木纹 =0.5;
[0094] Among them, the S of the first candidate raw material 规格 =20%, S 颜色 =10%, S 木纹 =10%; S of the second candidate raw material 规格 =20%, S 颜色 =20%, S 木纹 =10%; S of the third candidate raw material 规格 =20%, S 颜色 =10%, S 木纹 =20%; then P1 of the first candidate raw material = 0.12, P2 of the second candidate raw material = 0.15, and P3 of the third candidate raw material = 0.17; since P1<P2<P3, the first candidate raw material is selected for shipment.
[0095] In this embodiment, the quantitative value calculation method of the specification is: compare the difference percentages of each specification between the candidate raw material H1 and the reference raw material J1 respectively, and take the average of the difference percentages of each specification, which is recorded as S 规格 ; Among them, specification difference percentage = |candidate raw material H1 specification-reference raw material J1 specification| / reference raw material J1 specification×100%;
[0096] Specifically, if the candidate raw material H1 to be shipped is a plate, its main specification parameters are length, width and thickness. The difference percentage of each parameter is calculated respectively, and the average is taken, which is recorded as S 规格 ; If the candidate raw material H1 to be shipped is a rounded material, then its main specification parameters are roundness and length. Calculate the difference percentage of each parameter respectively, and take the average, which is recorded as S 规格 .
[0097] In the prior art, specification comparison often relies on manual measurement and subjective judgment, which is not only time-consuming and labor-intensive, but also prone to errors. The specification quantification value calculation method proposed by the warehouse traceability method achieves accurate quantification of specifications by calculating the percentage difference of each specification between the candidate raw material H1 and the reference raw material J1. It not only simplifies the comparison process and improves work efficiency, but more importantly, it eliminates the uncertainty caused by human factors, making specification comparison more objective and accurate, thereby making more scientific and reasonable choices.
[0098] The color quantization value calculation method is as follows: In the RGB space, the Euclidean distance is used to calculate the color difference percentage between the candidate raw material H1 and the reference raw material J1, which is recorded as S 颜色 Compared with traditional color comparison methods, such as visual comparison or simple colorimeter measurement, the Euclidean distance calculation method has higher accuracy and stability. By quantifying the color comparison index, companies can intuitively understand the degree of color matching between the candidate raw material H1 and the reference raw material J1, thereby ensuring the consistency and aesthetics of the appearance of teak products.
[0099] The method for calculating the quantitative value of wood grain is as follows: respectively obtain images of the candidate raw material H1 and the reference raw material J1, and pre-process the two to obtain a candidate wood grain image and a reference wood grain image; respectively extract edges of the candidate wood grain image and the reference wood grain image to obtain a candidate fitting curve and a reference fitting curve, and calculate the wood grain difference percentage between the two, which is recorded as S 木纹 .
[0100] Specifically, multiple inflection points of the candidate fitting curve and the benchmark fitting curve may be selected to obtain the curvatures of the inflection points of the candidate fitting curve and the benchmark fitting curve, respectively, and the mean values of the curvatures of the candidate fitting curve and the benchmark fitting curve may be calculated, respectively, so as to obtain the difference percentage between the candidate fitting curve and the benchmark fitting curve;
[0101] The difference percentage of the two fitting curves can also be determined by comparing the function values of the two curves on the same set of points and calculating the percentage of these differences relative to a certain benchmark. In addition, the feature similarity of the wood grain images of the candidate raw material H1 and the benchmark raw material J1 can also be directly evaluated. The feature similarity is mainly based on the features presented in the image (such as key point features such as SIFT and SURF) to measure the similarity between the two wood grain images. It can capture the local structure and texture information of the wood grain image and has a certain robustness to the transformation of the wood grain image such as scaling and rotation.
[0102] Wood grain is a unique texture feature of wood and other raw materials. Its complexity and diversity bring challenges to quantitative comparison. Compared with traditional wood grain comparison methods, such as visual comparison or simple texture matching algorithms, this method can more accurately reflect the similarities and differences in wood grain between candidate raw material H1 and reference raw material J1, and more comprehensively evaluate the wood grain quality of candidate raw material H1, so as to select raw materials that meet the requirements better.
[0103] S24. Inventory data update: The warehouse management system automatically updates the inventory data, reduces the quantity of the corresponding teak raw materials and generates outbound records, recording the outbound time, quantity, and destination information of the teak raw materials.
[0104] In this embodiment, the shelves 1 are arranged in multiple rows in parallel, and a passage 2 is provided between two adjacent shelves 1; the teak raw materials are loaded and unloaded by a storage robot 3, and the storage robot 3 moves back and forth along the passage 2; the design of the passage 2 enables the storage robot 3 to easily move between the shelves 1 and perform efficient loading and unloading operations. In addition, the width and position of the passage 2 can be adjusted according to actual needs to accommodate teak raw materials of different sizes and weights, thereby improving the flexibility and adaptability of the warehouse.
[0105] In this embodiment, a track 21 extends along the channel 2, and the storage robot 3 slides on the track 21; the storage robot 3 includes a walking base 31, and a material-grabbing device 32 movably mounted on the walking base 31; the walking base 31 is slidably connected to the track 21; the material-grabbing device 32 is used to take out or put the teak raw material into the storage position of the shelf 1.
[0106] The use of storage robot 3 for loading and unloading significantly improves work efficiency and automation level. Storage robot 3 can move back and forth quickly and accurately in channel 2 along the preset track 21 without direct manual operation, thereby greatly reducing labor costs and labor intensity. At the same time, the robot's mechanical arm can accurately complete the removal and placement of teak raw materials, ensuring the stability and reliability of the loading and unloading process. Not only does it improve work efficiency, it also reduces the risk of human error and ensures the smooth operation of the production line.
[0107] In this embodiment, the walking base 31 is provided with a first guide rail 311 in the vertical direction, and a receiving platform 312 is slidably connected to the first guide rail 311; a second guide rail 313 is provided on the receiving platform 312, and the second guide rail 313 extends in a horizontal direction perpendicular to the channel 2, and the material taking device 32 is slidably connected to the second guide rail 313;
[0108] The sliding connection design between the first guide rail 311 and the receiving platform 312, and between the second guide rail 313 and the material-retrieving device 32, endows the storage robot 3 with high flexibility in three-dimensional space. This flexibility enables the robot to easily cope with shelf systems 1 of different layouts and heights, and can achieve efficient and accurate loading and unloading operations, whether it is dense storage or multi-layer high-level shelves 1.
[0109] Among them, the width dimension of the material picking device 32 is smaller than the width dimension of the shelf 1 bin, and the height dimension of the material picking device 32 is 1 / 6 to 1 / 8 of the height dimension of the shelf 1 bin. The width dimension of the material picking device 32 is smaller than the width dimension of the shelf 1 bin. This design cleverly utilizes the space of the shelf 1 bin and avoids the waste of space caused by the device being too large. At the same time, the height dimension of the material picking device 32 is set to 1 / 6 to 1 / 8 of the height dimension of the shelf 1 bin. This design not only ensures sufficient material picking space, but also reduces the space occupied by the storage robot 3 during operation, making the warehouse layout more compact and significantly improving the space utilization rate.
[0110] In this embodiment, the material picking device 32 includes a base plate 321, on which is provided a material picking assembly 322 and a first driving unit 323 for driving the material picking assembly 322 to move horizontally in a direction perpendicular to the channel 2; the material picking assembly 322 includes a material picking arm 3221 and a second driving unit 3222 for driving the material picking arm 3221 to move in a vertical direction; each driving unit can adopt an electric push rod or a cylinder.
[0111] The picking arm 3221 is provided with a picking bracket C1, the output end of the second driving unit 3222 is drivingly connected to the picking bracket C1, and the picking bracket C1 is provided with a plurality of pneumatic suction cups C2 or finger cylinders for adsorbing or clamping the teak raw material.
[0112] The picking device 32 realizes the horizontal movement of the picking component 322 in a direction perpendicular to the channel 2 through the first driving unit 323 on the base plate 321, so that the picking device 32 can accurately align and quickly approach the target material, thereby improving the accuracy and efficiency of picking. At the same time, the second driving unit 3222 is responsible for driving the picking arm 3221 to move in the vertical direction, ensuring that the picking arm 3221 can flexibly adjust the height, thereby realizing multi-dimensional and all-round flexible picking. The picking bracket C1 provided on the picking arm 3221, combined with a number of pneumatic suction cups C2 or finger cylinders, provides the picking device 32 with a powerful material grabbing ability. The pneumatic suction cup C2 is suitable for adsorbing materials with smooth surfaces that are difficult to clamp, such as teak board materials, while the finger cylinder is suitable for occasions that require precise clamping. This combination design not only meets the grabbing requirements of different materials, but also ensures the stability and reliability of picking.
[0113] In this embodiment, by generating a unique QR code for each batch or each piece of cut teak raw material and recording detailed raw material information, the transparency and traceability of warehouse information are greatly improved. The warehouse management system is used to uniformly manage the raw material information recorded by the QR code, so as to realize the classified storage, quantity statistics and real-time inventory status update of teak raw materials, optimize the inventory structure and reduce inventory costs. In the outbound link, through the search function of the warehouse management system, teak raw materials that meet the specification requirements can be quickly found as candidate raw materials H1, and the shelf 1 position where it is located is marked to form an outbound application form. The warehouse manager performs matching operations based on the outbound application form and checks whether the raw material information displayed by the QR code is consistent with the outbound application form. Only after it is correct can the outbound be confirmed, which ensures the accuracy and reliability of the outbound raw materials.
[0114] Example 2
[0115] like Figure 1 , Figure 6-9 As shown, one of the embodiments of the present invention, the main technical scheme of this embodiment is the same as that of embodiment 1, and the features not explained in this embodiment are explained in embodiment 1, and will not be repeated here. The difference between this embodiment and embodiment 1 is:
[0116] In this embodiment, teak raw materials are manually loaded and unloaded by a moving ladder 4, and the moving ladder 4 moves back and forth along the passage 2. When the moving ladder 4 is used for loading and unloading, the moving ladder 4 slides along the passage 2 through a plurality of casters 42 arranged at the bottom; the moving ladder 4 includes a support frame 41, and a plurality of ladder plates 43 are arranged at intervals from bottom to top on one side of the support frame 41, and guardrails 44 are arranged on both sides of the ladder plates 43; the warehouse manager climbs on the ladder plates 43 of suitable height to take out or put the teak raw materials into the storage space of the shelf 1.
[0117] The design of the mobile ladder 4 also reflects the consideration of the safety and comfort of the workers. The mobile ladder 4 moves back and forth along the passage 2, providing a stable and safe working platform for the workers and reducing the risk of working at height. At the same time, the flexibility and convenience of the mobile ladder 4 also improve the work efficiency and comfort of the workers, making the loading and unloading process easier and faster. For some teak materials that are inconvenient to be grasped by the storage robot 3, it is more efficient and reliable to use the mobile ladder 4 for loading and unloading.
[0118] According to the disclosure and teaching of the above description, those skilled in the art to which the present invention belongs may also make changes and modifications to the above embodiments. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and changes to the invention should also fall within the scope of protection of the claims of the present invention. In addition, although some specific terms are used in this specification, these terms are only for the convenience of description and do not constitute any limitation to the present invention.
Claims
1. A storage traceability method for teak cut raw materials, characterized in that: The following steps are involved: S11, generating a QR code: cutting teak logs into teak raw materials; generating a unique QR code for each batch or each piece of cut teak raw materials, wherein the QR code records raw material information; the raw material information includes batch number, specification, quantity and supplier information of the teak raw materials; S12, warehousing operation: print the generated QR code and paste it on the shelf position, and store the cut teak raw materials in the corresponding shelf position; S13, inventory management: inventory management of the raw material information recorded in the QR code is performed through the warehouse management system, and the inventory management includes classified storage, quantity statistics and real-time update of inventory status of teak raw materials; S21. Shipment application: When teak raw materials need to be shipped, a shipment application is submitted according to the production order; S22, warehouse delivery review: review the warehouse delivery application, search in the warehouse management system, and select teak materials that meet the interval size requirements as candidate materials; mark the shelf location where the candidate materials are located, and form a warehouse delivery application form; S23, outbound operation: according to the outbound application form, the candidate raw materials on the corresponding shelf position are taken out and matched; If the match is successful, the candidate raw material will be shipped out; if the match is unsuccessful, the candidate raw material will be reset; When the goods are shipped out, scan the QR code on the corresponding shelf, and the warehouse management system automatically identifies and displays the raw material information of the teak raw materials. After the warehouse manager verifies that the raw material information is correct, he confirms the shipment. S24. Inventory data update: The warehouse management system automatically updates the inventory data, reduces the quantity of the corresponding teak raw materials and generates outbound records, recording the outbound time, quantity, and destination information of the teak raw materials.
2. The method for tracing the storage of teak cut materials according to claim 1, characterized in that: In step S23, the matching operation includes the following steps: S231, select the reference raw material; S232, comparing each candidate raw material with the reference raw material to obtain a matching index of each candidate raw material; S233, sorting the matching indexes of the candidate raw materials, and selecting the candidate raw material with the smallest matching index for shipment.
3. The storage traceability method of teak cut raw materials according to claim 2, characterized in that: In step S232, when comparing each candidate raw material with the reference raw material, a quantitative comparison index is also included, and the comparison index includes specifications, color and wood grain; a weight is assigned to each comparison index, and a matching index of each candidate raw material is calculated according to the quantitative value of the comparison index, and the formula is as follows: P 候选原料 =(ω 规格 ×S 规格 )+(ω 颜色 ×S 颜色 )+(ω 木纹 ×S 木纹 ); P 候选原料 represents the matching index, ω 规格 represents the weight of the specification, S 规格 Represents the quantitative value of the specification, ω 颜色 Indicates the weight of the color, S 颜色 Represents the quantized value of color, ω 木纹 Represents the weight of the wood grain, S 木纹 Represents the quantitative value of wood grain; where ω 规格 <ω 颜色 <ω 木纹 , and ω 规格 +ω 颜色 +ω 木纹 =1.
4. The method for tracing the storage of teak cut materials according to claim 3, characterized in that: The quantitative value calculation method of the specification is: compare the difference percentage of each specification of the candidate raw material and the benchmark raw material respectively, and take the average of the difference percentage of each specification, which is recorded as S 规格 ; Wherein, specification difference percentage = |candidate raw material specification - benchmark raw material specification| / benchmark raw material specification×100%; The color quantization value calculation method is as follows: In the RGB space, the Euclidean distance is used to calculate the color difference percentage between the candidate raw material and the reference raw material, which is recorded as S 颜色 ; The method for calculating the quantitative value of wood grain is as follows: respectively obtaining images of the candidate raw material and the reference raw material, and preprocessing the images to obtain a candidate wood grain image and a reference wood grain image; respectively performing edge extraction on the candidate wood grain image and the reference wood grain image to obtain a candidate fitting curve and a reference fitting curve, and calculating the wood grain difference percentage between the two, which is recorded as S 木纹 .
5. The method for tracing the storage of teak cut materials according to claim 4, characterized in that: In step S232, each candidate raw material and the reference raw material are placed on a test table for comparison; A vertical plate is provided on one side of the inspection table, and a CCD camera is movably installed on the vertical plate. The CCD camera can be adjusted and moved along the X-axis direction, the Y-axis direction, and the Z-axis direction to obtain images of the reference raw materials and the candidate raw materials on the inspection table; the CCD camera is connected to a computer, and the computer has built-in image processing software for pre-processing and edge extraction of the images transmitted from the CCD camera.
6. The method for tracing the storage of teak cut materials according to claim 1, characterized in that: The shelves are arranged in multiple rows in parallel, and a passage is provided between two adjacent shelves; In step S12 and step S23, the teak raw materials are loaded and unloaded by a storage robot, and the storage robot moves back and forth along the passage; or, the teak raw materials are loaded and unloaded manually by a moving ladder, and the moving ladder moves back and forth along the passage.
7. The method for tracing the storage of teak cut materials according to claim 6, characterized in that: When a storage robot is used for loading and unloading, a track is extended along the passage, and the storage robot slides on the track; the storage robot includes a walking base and a material taking device movably mounted on the walking base; The walking base is slidably connected to the track; the material taking device is used to take out the teak raw material or put it into the shelf position.
8. The method for tracing the storage of teak cut materials according to claim 7, characterized in that: The walking base is provided with a first guide rail in the vertical direction, and a receiving platform is slidably connected to the first guide rail; a second guide rail is provided on the receiving platform, and the second guide rail extends in a horizontal direction perpendicular to the channel, and the material taking device is slidably connected to the second guide rail; Wherein, the width dimension of the material taking device is smaller than the width dimension of the shelf storage space, and the height dimension of the material taking device is 1 / 6 to 1 / 8 of the height dimension of the shelf storage space.
9. The method for tracing the storage of teak cut materials according to claim 8, characterized in that: The material picking device comprises a base plate, on which a material picking assembly is provided, and a first driving unit driving the material picking assembly to move horizontally in a direction perpendicular to the channel; the material picking assembly comprises a material picking arm, and a second driving unit driving the material picking arm to move in a vertical direction; The picking arm is provided with a picking bracket, the output end of the second driving unit is drivingly connected to the picking bracket, and the picking bracket is provided with a plurality of pneumatic suction cups or finger cylinders for adsorbing or clamping the teak raw material.
10. The method for tracing the storage of teak cut materials according to claim 6, characterized in that: When a mobile ladder is used for loading and unloading, the mobile ladder slides along the channel through multiple casters arranged at the bottom; the mobile ladder includes a support frame, and one side of the support frame is provided with multiple ladder boards spaced from bottom to top, and guardrails are arranged on both sides of the ladder boards; the warehouse manager climbs onto the ladder board of appropriate height to take out or put the teak raw materials into the shelf storage space.
Citation Information
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WO2026156957A1