Ship fillet weld leg data processing method, system, equipment and medium

Abstract

The invention discloses a ship fillet weld leg data processing method, system and device and a medium, and the method comprises the steps: presetting a corresponding identification code for a to-be-welded structure type, and setting a welding coefficient comparison database corresponding to the identification code and the combination thereof; model information of a component needing to be welded is obtained, and weld joint data of the component during welding are analyzed and obtained through a weld joint model; based on the weld joint data, an identification code is given to a structure type corresponding to a weld joint, and first identification data of a weld leg is generated; and inputting the first identification data into a preset weld leg processing model to generate parameter data of a weld leg corresponding to the component at the weld joint. According to the method, the workload of designers for defining the welding feet one by one can be effectively reduced, the design efficiency is improved, and the design period is shortened.

Description

Technical Field

[0001] This application relates to the technical field of generating weld legs for ships, and in particular to a method, system, equipment and medium for processing weld leg data of ship fillet welds. Background Technology

[0002] In recent years, Model-Based Design (MBD) technology has become increasingly popular in the shipbuilding industry. This technology directly incorporates design and construction information into 3D models, reducing reliance on 2D drawings. As a crucial construction reference, the size of the weld leg for all fillet welds needs to be precisely defined.

[0003] In the actual operation process, the designers first build a three-dimensional model in the shipbuilding software AVEVA MARINE (AM for short), and then generate a weld model through AM. After the designers edit the weld legs of the weld model, they upload the model and weld leg information to MBD.

[0004] However, due to the complexity of ship structures and the large number of parts, the number of welds is enormous. In addition, the specifications have different requirements for welding coefficients for different types of structures. AM does not provide a customized weld leg definition method, which requires designers to define each weld leg one by one. This process greatly reduces design efficiency and prolongs the design cycle. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, device, and medium for processing weld leg data of ship fillet welds, which can solve the above-mentioned problems existing in the prior art.

[0006] To achieve the above objectives, this application adopts the following technical solution: On the one hand, a method for processing weld leg data of ship fillet welds is provided, which includes: Pre-set corresponding identification codes for the required welding structure types, and establish a database of welding coefficients corresponding to the identification codes and their combinations; Obtain the model information of the required welding components, analyze the weld model, and obtain the weld data of the components during welding; Based on the weld data, an identification code is assigned to the structural type corresponding to the weld, and the first identification data of the weld leg is generated. The first identification data is input into a preset weld foot processing model to generate parameter data of the weld foot corresponding to the weld at the weld of the component.

[0007] In one embodiment of this solution, the identification code includes a first identification identifier and a second identification identifier; The first identification identifier is used to identify the area of ​​use of the component; and The second identification identifier is used to identify the type of the component.

[0008] In one embodiment of this solution, establishing the welding coefficient comparison database includes: Collect structural classification data and regulatory requirements in ship design; The collected specifications and structural data are standardized, and a table of correspondence between structural types and welding coefficients is established. The welding coefficient reference database adopts a relational database architecture and includes a data table with at least the fields of "structure type identification code", "standard number", "welding coefficient value", "applicable weld type" and "update time".

[0009] In one embodiment of this solution, the welding data comparison database is further provided with a docking interface and a database update module; The docking interface allows the welding coefficient reference database to directly read the structural type information contained in the weld model and automatically return the matching welding coefficients according to the preset correspondence; and The database update module can update the welding data against the database in real time.

[0010] In one embodiment of this solution, the step of obtaining the model information of the required welding component, and analyzing and obtaining the weld data of the component during welding through weld model analysis, includes: Based on the weld model generated by AVEVA MARINE software, the spatial position of all fillet welds is located through the image recognition algorithm, the continuous welds and discontinuous welds are distinguished, and the geometric features of the start and end coordinates and extension direction of the welds in the three-dimensional model are recorded. The identified weld model is analyzed for parameters, and weld data is extracted. The weld data includes weld type, base material information, and welding position feature data.

[0011] In one embodiment of this solution, the step of assigning an identification code to the structural type corresponding to the weld based on the weld data and generating the first identification data of the weld leg includes: Construct an identification code with three dimensions, including a first identification identifier, a second identification identifier, and a third identification identifier; A first identification identifier is assigned based on the applicable scenario of the component; The second identifier is assigned based on the structural type of the component; Based on the structural type of the component, a third identification identifier is assigned by querying a welding coefficient comparison database; The first identification data is obtained by encapsulating the three-dimensional identification code, which includes the first identification identifier, the second identification identifier, and the third identification identifier, in a specific format.

[0012] In one embodiment of this solution, the step of inputting the first identification data into a preset weld leg processing model to generate parameter data of the weld leg corresponding to the component at the weld seam includes: The parameter data represents the weld leg height at the actual welding position, and the weld leg processing module processes the first identification data using the formula: (1) (2) in, For the height of the solder leg, This is the welding type coefficient. This is the beveling coefficient. For material coefficients, For the thickness of the vertical plate, For the allowable tolerance of fillet weld gap, The welding coefficient; The height of the solder leg shall not be less than the maximum value in Formula 1 and Formula 2 above.

[0013] On the other hand, a system for processing weld leg data of marine fillet welds is provided, capable of performing the method described in any of the preceding claims, including: The first processing unit is used to preset the corresponding identification code for the required welding structure type and to establish a welding coefficient comparison database corresponding to the identification code and its combination. A weld seam recognition unit is used to acquire model information of the component to be welded, and to analyze and acquire weld seam data of the component during welding through weld seam model analysis. The second processing unit, based on the weld data, assigns an identification code to the structural type corresponding to the weld and generates first identification data for the weld leg; and The parameter generation unit is used to input the first identification data into a preset weld foot processing model to generate parameter data of the weld foot corresponding to the weld at the weld of the component.

[0014] In another aspect, an electronic device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor, when executing the computer program, implements the method as described in any of the preceding claims.

[0015] In another aspect, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the method described in any of the preceding claims.

[0016] The beneficial effects of this application are as follows: 1. By using a pre-set welding coefficient comparison database and combining it with the "region-structure-coefficient" three-dimensional identification code, the welding coefficient can be quickly matched, replacing the tedious process of manually searching for specifications one by one. This is especially suitable for shipbuilding scenarios with a large number of welds, significantly reducing repetitive work for designers.

[0017] 2. From extracting information from the AM software model to generating the identification code, and then to calculating the weld height, the entire process requires no manual intervention, forming a closed loop of "model-data-parameters". This reduces the processing time for a single weld from minutes to seconds, significantly improving overall design efficiency.

[0018] 3. The generated weld leg height parameters provide welders with clear operating standards, avoiding vague descriptions. The quantitative results of the weld leg height provide measurable standards for quality inspection. By comparing the measured values ​​with the calculated values, the efficiency and accuracy of inspection can be improved, and subjective judgment errors can be reduced. Attached Figure Description

[0019] The present application will now be described in further detail with reference to the accompanying drawings and embodiments.

[0020] Figure 1 This is a flowchart illustrating a method for processing weld leg data of a ship fillet weld according to an embodiment of this application; Figure 2 This is a schematic diagram of the structural type code of a method for processing weld leg data of ship fillet welds according to an embodiment of this application; Figure 3 This is a schematic diagram of the weld structure process of a method for processing weld leg data of a ship fillet weld according to an embodiment of this application; Figure 4 This is a schematic diagram of weld component information for a method of processing weld leg data of a ship fillet weld according to an embodiment of this application; Figure 5 This is a schematic diagram of a module of a system for processing data of fillet weld legs of ships according to an embodiment of this application.

[0021] In the picture: 100. First processing unit; 200. Weld seam identification unit; 300. Second processing unit; 400. Parameter generation unit; Detailed Implementation To make the technical problems solved by this application, the technical solutions adopted, and the technical effects achieved clearer, the technical solutions of the embodiments of this application are further described in detail below. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the description of this application, unless otherwise expressly specified and limited, the terms "connected," "linked," and "fixed" 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 based on the specific circumstances.

[0023] In this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being 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," and "under" the second feature includes the first feature being 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.

[0024] like Figures 1 to 4 As shown, this disclosure provides a method for processing weld leg data of ship fillet welds, which can be used to improve the problem of the huge workload of manually defining the weld leg height in the current ship welding process.

[0025] Specifically, the methods provided in this disclosure may include the following steps.

[0026] Step S10 involves pre-setting corresponding identification codes for the required welding structure types and establishing a database of welding coefficients corresponding to these identification codes and their combinations. In actual ship welding processes, the welding positions and requirements for different components vary, resulting in different welding coefficients. For example, the perimeter welding coefficient for watertight walls is 0.48, while the welding coefficient for connecting ordinary steel frame plates to the bottom plate is 0.24. By pre-setting the welding coefficient database, the corresponding welding coefficient can be quickly retrieved based on the actual required welding structure type.

[0027] Specifically, the following steps may be permitted in the process of establishing a welding coefficient comparison database.

[0028] Step S101: Collect structural classification data and specification requirements in ship design.

[0029] Step S102 involves standardizing the collected specifications and structural data to establish a correspondence table between structural types and welding coefficients. The welding coefficient database uses a relational database architecture and includes at least the fields of "structural type identification code," "specification / standard number," "welding coefficient value," "applicable weld type," and "update time."

[0030] Understandably, structural classifications and regulatory requirements in ship design can be determined based on actual welding needs. Furthermore, by establishing a correspondence table between structural types and welding coefficients and employing a relational database architecture, flexible retrieval of multiple fields such as "structural type identification code" and "applicable weld type" can be achieved, adapting to the welding requirements of different ship structures.

[0031] Furthermore, the welding coefficient comparison database can also include a docking interface and a database update module. The docking interface allows the welding coefficient comparison database to directly read the structural type information contained in the weld model and automatically return the matching welding coefficients based on a preset correspondence. The database update module can update the data in the welding coefficient comparison database in real time. The database update module can respond in real time to specification revisions or the addition of new structural types, ensuring that the data is always synchronized with the latest technical requirements and meets the complex and ever-changing welding scenarios in ship design.

[0032] Furthermore, the identification code includes at least a first identification identifier and a second identification identifier. The first identification identifier is used to identify the area of ​​use of the component, and the second identification identifier is used to identify the type of the component. Therefore, the area of ​​the ship to which the component to be welded belongs can be determined by identifying the first identification identifier, and the specific type of the component can be determined by identifying the second identification identifier.

[0033] For the first identification identifier, it is permissible to define it as a specific number between 1 and 9. Different numbers represent different areas of the component within the ship. For example, the number 8 represents a non-cargo hold area, while numbers 1-7 and 9 represent cargo hold areas.

[0034] In one embodiment, the identification code further includes a third identification identifier, which displays the welding coefficient of the corresponding component during the actual welding process. For example, for a watertight wall, the welding coefficient is 0.48, and the corresponding third identification identifier is 48. The welding coefficient for a common steel frame connecting a ship's bottom plate is 0.24, and the corresponding third identification identifier is 24. The numerical characteristics corresponding to the welding coefficient and the third identification identifier are set to facilitate rapid identification of the actual welding coefficient of the corresponding component.

[0035] Therefore, the identification code corresponding to the structural type of the component during the welding process is constructed by the first identification identifier, the second identification identifier, and the third identification identifier.

[0036] For example, please refer to Table 1.

[0037] Table 1

[0038] Please refer to Table 1. In the actual welding process, the welding coefficient for the ribs of the double bottom to the two rib distances at the ends of the outer bottom plate / inner bottom plate is 0.38, the welding coefficient to the side longitudinal girder of the bottom side compartment is 0.38, and the welding coefficient for the rest is 0.24. Based on this, the structural type code for the inner bottom plate and outer bottom plate at the two rib distances at the ends can be defined as: 1148, the side longitudinal girder of the bottom side compartment is defined as: 1938, and the rib is defined as: 1024.

[0039] As shown in the first row of Table 1, fun=1024 indicates that the structure has a vertical plate of 1024. name indicates that the part is a rib (floor), and 1938=0.38 means that when the rib is connected to the structure with a vertical plate of 1938, the welding coefficient is 0.38. Similarly, when connected to the structure with a vertical plate of 1148, the welding coefficient is 0.38. all=0.24 means that when connected to other structures, the welding coefficient is 0.24.

[0040] Step S20: Obtain the model information of the required welding component, analyze the weld model, and obtain the weld data of the component during welding.

[0041] Understandably, in the technical solution disclosed herein, the model of the ship component is constructed using AVEVA MARINE (AM for short), and then the weld model can be generated using AM.

[0042] In one implementation, AM's WELD PLANNING module can be used to extract segmented weld seams. See also... Figure 4 The weld attributes of AM contain the two parts that make up the weld. The structural type code of the part is read and obtained. The vertical plate part is obtained through analysis. Then, according to the setting of the structural type correspondence file in step 10, the welding coefficient fweld of the weld is obtained through analysis.

[0043] In one embodiment, the weld model generated based on AM can be used to locate the spatial positions of all fillet welds through a graphic recognition algorithm, distinguish between continuous and discontinuous welds, and record the start and end coordinates and geometric features of the welds in the three-dimensional model, as well as their extension directions. Simultaneously, parameter analysis is performed on the identified weld model to extract weld data, which includes weld type, base material information, and welding position feature data.

[0044] Specifically, it allows the development of adaptation modules based on the AM software's secondary development interface. These modules can automatically read the 3D model data of the welded component from AM after preset trigger conditions, such as when the designer completes component modeling and generates a weld model. This includes basic metadata such as component ID, spatial coordinate system, and material attribute library association information. The interface supports bidirectional communication, allowing the extraction of model geometric parameters such as component thickness and cross-sectional dimensions from AM, and the writing of weld data generated from subsequent analysis, such as identification codes and welding coefficients, back into the AM model's attribute bar, thus achieving a closed-loop design data system.

[0045] Furthermore, a deep learning-based 3D model feature recognition algorithm, such as the PointNet network, is employed to perform mesh point cloud analysis on the weld model output by AM. First, an edge detection operator, such as the Canny algorithm, is used to identify the boundary line between the weld and the base material, locating the spatial contour of the fillet weld. Second, a continuous line segment fitting algorithm is used to distinguish between continuous and discontinuous welds. Finally, the 3D coordinates (X, Y, Z) and extension direction vectors of the weld's start and end points are recorded to provide data support for subsequent welding path planning.

[0046] Furthermore, by fitting cross-sectional profiles (e.g., right triangles correspond to right-angled fillet welds, and oblique triangles correspond to oblique-angled fillet welds), the system automatically determines the type and generates a type code. It then associates the material property table of the component in the AM model and extracts parameters such as grade, thickness, and yield strength of the base material on both sides of the weld, marking the thinner base material as a key reference value for subsequent weld leg calculations. Finally, by combining the weld space coordinates with the ship structure coordinate system, the welding posture is determined, and a position feature code is generated.

[0047] It is important to note that when the image recognition algorithm has a confidence level of less than 90% in determining the weld type, such as mixed welds at complex nodes, it can be automatically marked as "awaiting manual confirmation" and pushed to the designer's workbench. The algorithm's recommended results and feature-based information, such as a cross-sectional profile screenshot, will be displayed. Additionally, for welds lacking base material information, such as those without associated material attributes in the AM model, the system will automatically match the default material parameters of similar components in the same area and label them as "temporary data," to be updated after the designer adds the necessary information.

[0048] Step S30: Based on the weld data, assign an identification code to the structure type corresponding to the weld and generate the first identification data of the weld leg.

[0049] Specifically, this involves constructing a three-dimensional identification code comprising a first identification identifier, a second identification identifier, and a third identification identifier. Then, a first identification identifier is assigned based on the applicable scenario of the component, and a second identification identifier is assigned based on the structural type of the component. Furthermore, a third identification identifier is assigned based on the structural type of the component by querying a welding coefficient reference database. Finally, the three-dimensional identification code comprising the first, second, and third identification identifiers is formatted and encapsulated to obtain the first identification data.

[0050] Understandably, the first identifier represents the applicable scenario, the second the structural type, and the third the welding coefficient. These identifiers locate components from different dimensions, forming a three-layered association system of "scenario-structure-parameter." For example, the first identifier can quickly distinguish between components in the cargo hold and engine room, the second identifier clarifies whether it is a rib or a bulkhead structure, and the third identifier directly corresponds to the welding coefficient. This enables accurate classification and information extraction of complex ship components, avoiding the information ambiguity problems caused by traditional single coding.

[0051] Meanwhile, the third identification identifier is automatically assigned by querying the welding coefficient database, replacing the manual table lookup and matching process. Combined with the precise positioning of the first two layers of identifiers, the retrieval of welding coefficients is simplified from "full database retrieval" to "three-dimensional identifier matching," significantly improving response speed.

[0052] It is important to note that the identification code uses a fixed-dimensional combination and is encapsulated in a format to form the first identification data, which can effectively ensure the uniformity of the identification information format under different components and different scenarios.

[0053] Step S40: Input the first identification data into the preset weld foot processing model to generate parameter data of the weld foot corresponding to the weld of the component at the weld.

[0054] In step S40, the parameter data is the weld leg height at the actual welding position, and the weld leg processing module processes the first identification data using the formula: (1) (2) in, For the height of the solder leg, This is the welding type coefficient. This is the beveling coefficient. For material coefficients, For the thickness of the vertical plate, For the allowable tolerance of fillet weld gap, The welding coefficient; It should be noted that the height of the solder leg should not be less than the maximum value in Formula 1 and Formula 2 above.

[0055] Understandably, the weld leg processing model is based on the first identification data, which includes core information such as structural type, region, and welding coefficient. It combines multi-dimensional coefficients such as welding type coefficient, bevel processing coefficient, and material coefficient to construct a calculation formula. This incorporates key factors affecting weld leg height in ship welding, such as component material, welding process, and structural dimensions, into quantitative analysis. This avoids the one-sidedness of traditional experience estimation and makes the weld leg height calculation more in line with actual working conditions.

[0056] At the same time, the dual calculation logic of Formula 1 and Formula 2 covers the strength requirements under different stress scenarios, ensuring that the final weld height meets the most stringent strength standards, effectively avoiding structural safety hazards caused by insufficient welds, and complying with the strength redundancy requirements in ship welding specifications.

[0057] Please see Figure 5 This disclosure also provides a system for processing weld leg data of ship fillet welds capable of performing any of the above-described method steps, comprising a first processing unit 100, a weld identification unit 200, a second processing unit 300, and a parameter generation unit 400. The first processing unit 100 is used to preset corresponding identification codes for the structural types to be welded and to establish a database of welding coefficients corresponding to the identification codes and their combinations. The weld identification unit 200 is used to acquire model information of the component to be welded, analyze the weld model, and acquire weld data of the component during welding. The second processing unit 300 can assign an identification code to the structural type corresponding to the weld based on the weld data and generate first identification data for the weld leg. The parameter generation unit 400 is used to input the first identification data into a preset weld leg processing model to generate parameter data for the weld leg corresponding to the component at the weld.

[0058] According to another embodiment, an electronic device is also provided, including a memory and a processor, wherein the memory stores executable code, and when the processor executes the executable code, it implements a combination... Figure 1 The method described.

[0059] According to another embodiment, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed in a computer, causes the computer to perform a combination Figure 1 The method described.

[0060] In summary, this disclosure provides a method, system, equipment, and medium for processing weld leg data of marine fillet welds. By using a pre-set welding coefficient comparison database and combining it with a three-dimensional identification code of "region-structure-coefficient," it achieves rapid matching of welding coefficients, replacing the tedious process of manually searching specifications one by one. This is particularly suitable for marine applications with a large number of welds, significantly reducing repetitive work for designers. Furthermore, from extracting information from the AM software model to generating the identification code and calculating the weld leg height, the entire process requires no manual intervention, forming a closed loop of "model-data-parameters." This reduces the processing time for a single weld from minutes to seconds, significantly improving overall design efficiency. The generated weld leg height parameters provide welders with clear operational standards, avoiding vague descriptions, and the quantified results of the weld leg height provide measurable standards for quality inspection. Therefore, by comparing measured values ​​with calculated values, inspection efficiency and accuracy can be improved, reducing subjective judgment errors.

[0061] In the description herein, it should be understood that the terms "upper," "lower," "left," "right," and other orientations or positional relationships are used only for ease of description and simplification of operation, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used merely for descriptive distinction and have no special meaning.

[0062] In the description of this specification, references to terms such as "an embodiment," "example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0063] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style of the specification is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

[0064] The technical principles of this application have been described above with reference to specific embodiments. These descriptions are merely for explaining the principles of this application and should not be construed as limiting the scope of protection of this application in any way. Based on this explanation, those skilled in the art can readily conceive of other specific embodiments of this application without inventive effort, and these embodiments will all fall within the scope of protection of this application.

Claims

1. A method for processing weld leg data of marine fillet welds, characterized in that, include: Pre-set corresponding identification codes for the required welding structure types, and establish a database of welding coefficients corresponding to the identification codes and their combinations; Obtain the model information of the required welding components, analyze the weld model, and obtain the weld data of the components during welding; Based on the weld data, an identification code is assigned to the structural type corresponding to the weld, and the first identification data of the weld leg is generated. The first identification data is input into a preset weld foot processing model to generate parameter data of the weld foot corresponding to the weld at the weld of the component.

2. The method for processing weld leg data of ship fillet welds according to claim 1, characterized in that, The identification code includes a first identification identifier and a second identification identifier; The first identification identifier is used to identify the area of ​​use of the component; and The second identification identifier is used to identify the type of the component.

3. The method for processing weld leg data of ship fillet welds according to claim 1, characterized in that, The establishment of the welding coefficient comparison database includes: Collect structural classification data and regulatory requirements in ship design; The collected specifications and structural data are standardized, and a table of correspondence between structural types and welding coefficients is established. The welding coefficient reference database adopts a relational database architecture and includes a data table with at least the fields of "structure type identification code", "standard number", "welding coefficient value", "applicable weld type" and "update time".

4. The method for processing weld leg data of ship fillet welds according to claim 3, characterized in that, The welding data comparison database is also equipped with a docking interface and a database update module; The docking interface enables the welding coefficient reference database to directly read the structural type information contained in the weld model and automatically return the matching welding coefficient according to the preset correspondence. and The database update module can update the welding data against the database in real time.

5. The method for processing weld leg data of ship fillet welds according to claim 1, characterized in that, The step of obtaining the model information of the required welding component, analyzing the weld model, and obtaining the weld data of the component during welding includes: Based on the weld model generated by AVEVA MARINE software, the spatial position of all fillet welds is located through the image recognition algorithm, the continuous welds and discontinuous welds are distinguished, and the geometric features of the start and end coordinates and extension direction of the welds in the three-dimensional model are recorded. The identified weld model is analyzed for parameters, and weld data is extracted. The weld data includes weld type, base material information, and welding position feature data.

6. The method for processing weld leg data of ship fillet welds according to claim 1, characterized in that, The step of assigning an identification code to the structural type corresponding to the weld based on the weld data and generating the first identification data of the weld leg includes: Construct an identification code with three dimensions, including a first identification identifier, a second identification identifier, and a third identification identifier; A first identification identifier is assigned based on the applicable scenario of the component; The second identifier is assigned based on the structural type of the component; Based on the structural type of the component, a third identification identifier is assigned by querying a welding coefficient comparison database; The first identification data is obtained by encapsulating the three-dimensional identification code, which includes the first identification identifier, the second identification identifier, and the third identification identifier, in a specific format.

7. The method for processing weld leg data of ship fillet welds according to claim 1, characterized in that, The step of inputting the first identification data into a preset weld foot processing model to generate parameter data of the weld foot corresponding to the component at the weld seam includes: The parameter data represents the weld leg height at the actual welding position, and the weld leg processing module processes the first identification data using the formula: (1) (2) in, For the height of the solder leg, This is the welding type coefficient. This is the beveling coefficient. For material coefficients, For the thickness of the vertical plate, For the allowable tolerance of fillet weld gap, The welding coefficient; The height of the solder leg shall not be less than the maximum value in Formula 1 and Formula 2 above.

8. A system for processing weld leg data of marine fillet welds, capable of executing the method as described in any one of claims 1-7, characterized in that, include: The first processing unit is used to preset the corresponding identification code for the required welding structure type and to establish a welding coefficient comparison database corresponding to the identification code and its combination. A weld seam recognition unit is used to acquire model information of the component to be welded, and to analyze and acquire weld seam data of the component during welding through weld seam model analysis. The second processing unit assigns an identification code to the structure type corresponding to the weld based on the weld data, and generates the first identification data of the weld leg. and The parameter generation unit is used to input the first identification data into a preset weld foot processing model to generate parameter data of the weld foot corresponding to the weld at the weld of the component.

9. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed in a computer, causes the computer to perform the method described in any one of claims 1-7.

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