Welding control method and system for assembly type structure, electronic equipment and medium
By building a model drawing set of prefabricated structures and controlling the operating equipment group for precise welding, the problems of insufficient welding accuracy and low product qualification rate in existing welding technologies are solved, and the welding accuracy and product yield are improved.
Patent Information
- Application Number
- CN202510224627.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-05-06
AI Technical Summary
The existing welding technology has problems such as insufficient welding processing accuracy and low product qualification rate, which is mainly because the welding process relies on manual operations and is limited by the skill level of technicians.
By constructing a model drawing set of prefabricated structures and setting prefabricated welding parameters associated with the connection bevel of the welded member and the component components in the model drawing set, the operating equipment group is controlled to perform precise welding based on the processing coordinate set and prefabricated welding parameters.
It improves welding accuracy and product yield, realizes standardization and automation of the welding process, and reduces the impact of manual operations.
Smart Images
Figure CN119927368A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure generally relates to the field of welding technology, and more particularly to a welding control method, system, electronic equipment and medium for assembled structures. Background Art
[0002] Building mechanical and electrical products use modularization and integration technology to improve production efficiency and quality through large-scale prefabrication and factory assembly line operations, and reduce engineering construction costs. Among them, welding, as a key link in module prefabrication, can not only ensure the structural strength and stability of the module, but also provide a reliable foundation for subsequent installation and maintenance.
[0003] At present, the welding process of related technologies is that technical workers select appropriate welding methods according to scene requirements based on professional knowledge and past experience for on-site processing operations. However, this process requires tedious manual operations and is also subject to personal skill levels. There are disadvantages such as insufficient welding processing accuracy, which in turn affects the product qualification rate. Summary of the invention
[0004] In view of the above-mentioned defects or deficiencies in the related art, it is desired to provide a welding control method, system, electronic equipment and medium for assembled structures, which can improve welding accuracy and ensure product yield.
[0005] In a first aspect, the present disclosure provides a welding control method for an assembled structure, the welding control method comprising: Constructing at least one model atlas of an assembled structure, wherein a weld component is provided at a connection groove of each component of the assembled structure in the model atlas, and the weld component is associated with a prefabrication welding parameter corresponding to the connection groove of the component; The processing coordinate set and the prefabrication welding parameters of the connecting grooves of each component are obtained in sequence, and the compiled processing coordinate set and the prefabrication welding parameters are sent to the operating equipment group to control the operating equipment group to process and weld the connecting grooves of the component components based on the processing coordinate set and the prefabrication welding parameters.
[0006] Optionally, in some embodiments of the present disclosure, constructing at least one model atlas of the assembled structure includes: Establishing a three-dimensional graphic model of the at least one assembled structure, wherein the three-dimensional graphic model includes component parts and weld components disposed at the connecting grooves of the component parts; Parameter values are assigned to the component components and the weld components respectively, and the three-dimensional graphic model with the assigned parameters is processed by isometric measurement to generate a model atlas of the assembled structure.
[0007] Optionally, in some embodiments of the present disclosure, assigning parameter values to the component components and the weld component respectively includes: Acquiring material information of the component, and assigning attribute parameters to the component in the three-dimensional graphic model according to the material information; The prefabrication welding parameters are assigned to the weld component in the three-dimensional graphic model according to the attribute parameters and the structural form of the connecting groove of the component components.
[0008] Optionally, in some embodiments of the present disclosure, sequentially acquiring the processing coordinate sets of the connecting grooves of the component members and the prefabrication welding parameters includes: Obtaining a module number of the prefabricated structure, and determining a model atlas corresponding to the prefabricated structure according to the module number; According to the component number of each component in the prefabricated structure, extracting the processing coordinate set associated with the component number in the model atlas; According to the weld numbers of the weld components between the component components, prefabrication welding parameters associated with the weld numbers are extracted in the model atlas.
[0009] Optionally, in some embodiments of the present disclosure, the method further includes: Receiving welding information parameters returned by each operating equipment in the operating equipment group; The welding information parameters are analyzed and the welding quality type of the connecting groove of the component members is determined.
[0010] Optionally, in some embodiments of the present disclosure, analyzing the welding information parameters and determining the welding quality type of the connecting groove of the component members includes: Obtaining a first actual welding arc voltage value in the welding information parameters; Calculating a first difference between the first actual welding arc voltage value and a reference welding arc voltage value, and when the first difference meets a first preset condition, continuously saving second actual welding arc voltage values corresponding to each sampling moment within a preset time interval; Calculating the second difference between each of the second actual welding arc voltage values and the reference welding arc voltage value, and obtaining the average value corresponding to the second difference value, and if the average value satisfies the second preset condition, intercepting the molten pool image at the connecting groove of the component member; The molten pool image is input into a pre-trained convolutional neural network model to obtain the welding quality type.
[0011] Optionally, in some embodiments of the present disclosure, when the welding quality type is defective, the method further includes: Obtaining a device number associated with the welding information parameter; The position of the operating equipment is located according to the equipment number, and fault maintenance is performed on the operating equipment.
[0012] In a second aspect, the present disclosure provides a welding control system for an assembled structure, the welding control system comprising: A construction module configured to construct a model atlas of at least one prefabricated structure, wherein a weld component is provided at a connection groove of each component of the prefabricated structure in the model atlas, and the weld component is associated with a prefabrication welding parameter corresponding to the connection groove of the component; The control module is configured to sequentially obtain the processing coordinate set and the prefabrication welding parameters of the connecting grooves of each of the component members, and send the compiled processing coordinate set and the prefabrication welding parameters to the operating equipment group to control the operating equipment group to process and weld the connecting grooves of the component members based on the processing coordinate set and the prefabrication welding parameters.
[0013] In a third aspect, the present disclosure provides an electronic device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the instruction, the program, the code set or the instruction set is loaded and executed by the processor to implement the steps of the welding control method described in any one of the first aspects.
[0014] In a fourth aspect, the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the welding control method described in any one of the first aspects.
[0015] It can be seen from the above technical solutions that the embodiments of the present disclosure have the following advantages: The disclosed embodiments provide a welding control method, system, electronic device and medium for prefabricated structures. The method constructs a model atlas of the prefabricated structure, and sets weld components at the connecting grooves of the components of the prefabricated structure in the model atlas. The weld components are associated with the prefabricated welding parameters corresponding to the connecting grooves of the components. That is to say, the weld components are adapted to the connecting grooves. The weld components can serve as a carrier of the prefabricated welding parameters, and can control the operating equipment group to achieve precise welding between the connecting grooves of the components according to the processing coordinate set of the connecting grooves and the prefabricated welding parameters. The method has a high degree of standardization and automation, and ensures the product yield. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Other features, objects and advantages of the present disclosure will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 A basic flow chart of a welding control method for an assembled structure provided in an embodiment of the present disclosure; Figure 2 A schematic diagram of the structure of a V-shaped groove provided in an embodiment of the present disclosure; Figure 3 A schematic diagram of the structure of an X-shaped groove provided in an embodiment of the present disclosure; Figure 4 A schematic diagram of the structure of a Y-shaped groove provided in an embodiment of the present disclosure; Figure 5 A schematic diagram of the structure of a U-shaped groove provided in an embodiment of the present disclosure; Figure 6 A schematic diagram of the structure of a single-sided V-shaped groove provided in an embodiment of the present disclosure; Figure 7 A schematic diagram of the structure of a single-sided U-shaped groove provided in an embodiment of the present disclosure; Figure 8 A schematic diagram of the structure of a single-sided K-shaped groove provided in an embodiment of the present disclosure; Fig. 9 A module model diagram provided for an embodiment of the present disclosure; Fig.10 A module axonometric diagram provided for an embodiment of the present disclosure; Fig.11 A module processing diagram and processing information table provided for an embodiment of the present disclosure; Fig.12 A schematic diagram of a flow chart for determining welding quality type provided by an embodiment of the present disclosure; Fig.13 A structural block diagram of a welding control system for an assembled structure provided in an embodiment of the present disclosure; Fig.14 A structural block diagram of another welding control system for an assembled structure provided in an embodiment of the present disclosure; Fig.15 A structural block diagram of another welding control system for an assembled structure provided in an embodiment of the present disclosure; Fig.16 A structural block diagram of a welding control system for an assembled structure provided by another embodiment of the present disclosure; Fig.17 A structural block diagram of yet another welding control system for a prefabricated structure provided in another embodiment of the present disclosure. DETAILED DESCRIPTION
[0017] In order to enable those skilled in the art to better understand the disclosed solution, the technical solution in the disclosed embodiment will be clearly and completely described below in conjunction with the drawings in the disclosed embodiment. Obviously, the described embodiment is only a part of the disclosed embodiment, not all of the embodiments. Based on the embodiments in the disclosed embodiment, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the disclosed embodiment.
[0018] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described can be implemented in sequences other than those illustrated or described herein.
[0019] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other. Figures 1 to 17 The welding control method, system, electronic equipment and medium for assembled structures provided by the embodiments of the present disclosure are described in detail.
[0020] Please refer to Figure 1 , which is a flow chart of a welding control method for an assembled structure provided by an embodiment of the present disclosure, the method specifically comprises the following steps: S101, constructing at least one model atlas of an assembled structure, wherein weld components are provided at the connecting grooves of the component parts of the assembled structure, and the weld components are associated with prefabrication welding parameters corresponding to the connecting grooves of the component parts.
[0021] It should be noted that the prefabricated structure in the embodiment of the present disclosure may include but is not limited to prefabricated electromechanical modules, and at least one prefabricated electromechanical module constitutes an electromechanical product. The advantage of such a setting is that by dividing the electromechanical product into multiple prefabricated electromechanical modules, it is not only convenient for processing and manufacturing, but also can be quickly moved and transported during installation, thereby improving construction efficiency.
[0022] Exemplarily, in the process of constructing the model atlas, the embodiment of the present disclosure first establishes a three-dimensional graphic model of at least one assembled structure, the three-dimensional graphic model including component parts and weld components arranged at the connection grooves of each component part, for example, the component parts may include but are not limited to valves, pipe fittings and instruments, etc., and the connection grooves of the component parts have different structural forms according to different connection methods, for example, the groove structure of the butt joint includes but is not limited to a V-shaped groove ( Figure 2 As shown), X-shaped groove ( Figure 3 As shown), Y-shaped groove ( Figure 4As shown), U-shaped groove ( Figure 5 As shown), single-sided V-shaped groove ( Figure 6 As shown), single-sided U-shaped groove ( Figure 7 shown) and single-sided K-type groove ( Figure 8 As shown in the figure, for example, the groove structure of the corner joint includes but is not limited to V-shaped groove, K-shaped groove and single-sided V-shaped groove.
[0023] Then, parameter values are assigned to the components and weld components respectively, and the three-dimensional graphic model with the assigned parameters is processed by isometric measurement to generate a model atlas of the assembled structure. The isometric measurement refers to placing the three coordinate axes of the three-dimensional graphic model at the same angle as the isometric projection plane and making an orthographic projection to the isometric projection plane. The model atlas includes but is not limited to the module model diagram ( Fig. 9 As shown), module axonometric drawing ( Fig.10 As shown), module processing diagram and processing information table ( Fig.11 As shown in the figure, the module model diagram can reflect the spatial position relationship between the components, the module axonometric diagram can reflect the connection relationship between the components, and the module processing diagram and processing information table can reflect the processing dimensions of each component. For example, the information of the module model diagram can include the axonometric expression of the three-dimensional appearance of the assembled structure, the component name, component model, component specification, component type, component size, component length and pipe end connection instructions, etc., and the information of the module axonometric diagram can include the single-line axonometric expression of the assembled structure, the component name, component model, component specification, component type, component size, component length and pipe end connection instructions, etc., and the information of the module processing diagram can include the single-line axonometric expression of the assembled structure, the component length and pipe end connection instructions, etc., and the processing information table can include the component name, component model, component specification, component size, component connection style and component welding form, etc.
[0024] Optionally, when assigning parameter values to the component parts and the weld parts respectively, the embodiment of the present disclosure first obtains the material information of the component parts, and assigns attribute parameters to the component parts in the three-dimensional graphic model according to the material information, such as the attribute parameters may include module number, component number, component name, component model, component specification, component type, component size, component length and connection position, etc. Further, according to the attribute parameters and the structural form of the connecting groove of the component parts, the prefabrication welding parameters are assigned to the weld parts in the three-dimensional graphic model, wherein the prefabrication welding parameters can be obtained by referring to the welding parameter comparison table shown in Table 1, GTAW represents Gas Tungsten Arc Welding, GMAW represents Gas Metal Arc Welding, such as the prefabrication welding parameters may include the weld number, parent material information, welding material information, welding area, welding position, size and diameter, and joint type, etc.
[0025] Table 1 Welding parameter comparison table
[0026] S102, sequentially obtain the processing coordinate set and prefabricated welding parameters of the connecting grooves of each component, and send the compiled processing coordinate set and prefabricated welding parameters to the operating equipment group to control the operating equipment group to process and weld the connecting grooves of the component based on the processing coordinate set and prefabricated welding parameters.
[0027] Exemplarily, since there can be multiple prefabricated structures, the disclosed embodiment first obtains the module number of the prefabricated structure, and determines the model atlas corresponding to the prefabricated structure according to the module number; secondly, according to the component number of each component in the prefabricated structure, the processing coordinate set associated with the component number is extracted from the model atlas; finally, according to the weld number of the weld component between each component, the prefabrication welding parameters associated with the weld number are extracted from the model atlas. The advantage of this setting is that, through the sequential progressive query of the module number, component number and weld number, it is possible to facilitate data management and traceability, ensure data accuracy, and thus improve welding accuracy.
[0028] Optionally, before sending the processing coordinate set and prefabrication welding parameters to the operation equipment group, the embodiment of the present disclosure can also recheck and compare whether the component connection mode and the groove structure form match, thereby further ensuring the accuracy of the data. In addition, the reference coordinate system of the processing coordinate set in the embodiment of the present disclosure takes the center of the end face of the component connection groove as the coordinate origin, and mutually perpendicular coordinates are established on the end face through the coordinate origin. x Axis and y Axis, and on the plane perpendicular to the end face through the coordinate origin to establish z Axis, i.e. x axis, y Axis and z The axes are also perpendicular to each other.
[0029] Furthermore, the disclosed embodiment can also receive welding information parameters sent back by each operating equipment in the operating equipment group, so as to realize online communication of the welding process. For example, the operating equipment includes but is not limited to automatic groove machines, automatic welding machines and positioners, and the welding information parameters may include welding current, welding voltage, welding arc voltage, ambient temperature, welding temperature, welding speed, gas flow, wire feeding speed, arcing waveform, molten pool visual clarity, small hole diameter and back drag angle and other information collected by the laser scanning tracking sensor equipment in the automatic welding machine, wherein the laser scanning tracking sensor equipment includes a laser sensor for actively collecting weld information and a control host for real-time processing of weld information, the laser sensor is arranged at the welding gun end of the automatic welding machine, and the control host is arranged at the tail end of the automatic welding machine.
[0030] Then, the welding information parameters are analyzed and the welding quality type of the connection groove of the component components is determined. Fig.12 As shown, firstly, the first actual welding arc voltage value in the welding information parameter is obtained; secondly, the first difference between the first actual welding arc voltage value and the reference welding arc voltage value is calculated, and when the first difference meets the first preset condition, the second actual welding arc voltage value corresponding to each sampling time within the preset time interval is continuously saved, that is, the arc voltage signal undergoes an instantaneous mutation, and at this time, continuous monitoring is required to ensure the welding quality, for example, the reference welding arc voltage value is the theoretical arc voltage value under the same welding process conditions, and its value can be obtained according to the fitting curve corresponding to the process test result, and the first preset condition can be greater than or equal to 1 volt, and the preset time interval can be 1 second; again, the second difference between each second actual welding arc voltage value and the reference welding arc voltage value is calculated respectively, and the average value corresponding to the second difference is obtained. If the average value meets the second preset condition, the molten pool image at the connecting groove of the component is intercepted, for example, the second preset condition can be greater than or equal to 0.5 volts; finally, the molten pool image is input into the pre-trained convolutional neural network model to obtain the welding quality type, for example, the welding quality type can include no defects and defects, and the defects include but are not limited to unformed and weld penetration.
[0031] It should be noted that in the process of obtaining the convolutional neural network model, the embodiment of the present disclosure may first obtain a set of sample images of the molten pool, and annotate each sample image of the molten pool, for example, annotate it as defect-free, unformed, or weld-through; then, divide the set of sample images of the molten pool into a training set and a verification set; then, use the training set to train the convolutional neural network structure, and use the verification set to verify the trained convolutional neural network structure to obtain the final convolutional neural network model. Optionally, the convolutional neural network model in the embodiment of the present disclosure may include a first convolutional neural network model for distinguishing between unformed and defect-free welds and a second convolutional neural network model for distinguishing between weld-through and defect-free welds, wherein the use condition of the first convolutional neural network model is 0.5 volts ≤ average value < 0.75 volts, and the use condition of the second convolutional neural network model is 0.75 volts ≤ average value < 1 volt, the division is more detailed, and the classification accuracy is improved.
[0032] Furthermore, when the welding quality type is defective, the embodiment of the present disclosure can obtain the equipment number associated with the welding information parameter, and then can quickly locate the position of the operating equipment that has failed from multiple operating equipment working simultaneously according to the equipment number, so as to facilitate maintenance and ensure welding quality. In addition, the embodiment of the present disclosure can also establish a correspondence between the groove structure form, welding process conditions, molten pool data and welding quality type, and accumulate prefabrication data.
[0033] The welding control method for prefabricated structures provided in the embodiments of the present disclosure constructs a model atlas of the prefabricated structure, and sets weld components at the connecting grooves of the components of the prefabricated structure in the model atlas, and the weld components are associated with the prefabricated welding parameters corresponding to the connecting grooves of the components, that is, the weld components are adapted to the connecting grooves, and the weld components can be used as a carrier of the prefabricated welding parameters, thereby being able to control the operating equipment group to achieve precise welding between the connecting grooves of the components according to the processing coordinate set of the connecting grooves and the prefabricated welding parameters, with a high degree of standardization and automation, thereby ensuring the product yield.
[0034] Based on the above embodiments, the present disclosure provides a welding control system for an assembled structure. The welding control system 100 can be applied to Figure 1 to Figure 12 In the welding control method of the corresponding embodiment. Please refer to Fig.13 , the welding control system 100 comprises: A construction module 101 is configured to construct at least one model atlas of an assembled structure, wherein a weld component is provided at a connection groove of each component of the assembled structure, and the weld component is associated with a prefabrication welding parameter corresponding to the connection groove of the component; The control module 102 is configured to sequentially obtain the processing coordinate set and prefabricated welding parameters of the connecting grooves of each component, and send the compiled processing coordinate set and prefabricated welding parameters to the operating equipment group to control the operating equipment group to process and weld the connecting grooves of the component components based on the processing coordinate set and prefabricated welding parameters.
[0035] Alternatively, if Fig.14 As shown, in some embodiments of the present disclosure, the building module 101 includes: A building unit 1011 is configured to build a three-dimensional graphic model of at least one assembled structure, the three-dimensional graphic model including component parts and weld components arranged at the connecting grooves of the component parts; The generating unit 1012 is configured to assign parameter values to the component components and the weld components respectively, and perform isometric processing on the three-dimensional graphic model to which the parameters have been assigned, so as to generate a model atlas of the assembled structure.
[0036] Optionally, in some embodiments of the present disclosure, the generating unit 1012 is specifically configured to obtain material information of the component and assign attribute parameters to the component in the three-dimensional graphic model according to the material information; According to the property parameters and the structural form of the connection groove of the component components, the prefabrication welding parameters are assigned to the weld components in the three-dimensional graphic model.
[0037] Alternatively, if Fig.15 As shown, in some embodiments of the present disclosure, the control module 102 includes: The determining unit 1021 is configured to obtain a module number of the prefabricated structure and determine a model atlas corresponding to the prefabricated structure according to the module number; The first extraction unit 1022 is configured to extract a processing coordinate set associated with the component number in the model atlas according to the component number of each component in the prefabricated structure; The second extraction unit 1023 is configured to extract the prefabrication welding parameters associated with the weld joint numbers in the model atlas according to the weld joint numbers of the weld components between the component components.
[0038] Alternatively, if Fig.16 As shown, in some embodiments of the present disclosure, the welding control system 100 further includes: The receiving module 103 is configured to receive welding information parameters sent back by each operating device in the operating device group; The analysis module 104 is configured to analyze the welding information parameters and determine the welding quality type of the connection groove of the component.
[0039] Alternatively, if Fig.17 As shown, in some embodiments of the present disclosure, the analysis module 104 includes: An acquisition unit 1041 is configured to acquire a first actual welding arc voltage value in the welding information parameters; A storage unit 1042 is configured to calculate a first difference between a first actual welding arc voltage value and a reference welding arc voltage value, and when the first difference satisfies a first preset condition, continuously store a second actual welding arc voltage value corresponding to each sampling moment within a preset time interval; The interception unit 1043 is configured to respectively calculate the second difference between each second actual welding arc voltage value and the reference welding arc voltage value, and obtain the average value corresponding to the second difference value, and if the average value satisfies the second preset condition, intercept the molten pool image at the connecting groove of the component; The judgment unit 1044 is configured to input the molten pool image into a pre-trained convolutional neural network model to obtain the welding quality type.
[0040] Optionally, in some embodiments of the present disclosure, the judgment unit 1044 is further configured to obtain a device number associated with the welding information parameter when the welding quality type is defective; Locate the operating equipment according to the equipment number and perform fault maintenance on the operating equipment.
[0041] It should be noted that the description of the same steps and the same contents in the embodiment of the present disclosure as in other embodiments can refer to the description in other embodiments, and will not be repeated here. In addition, the welding control system 100 in the embodiment of the present disclosure adopts development framework components such as springboot and springcloud, and the database adopts versions such as mysql and redis. Further, the welding control system 100 can use the Web page end and the Brevity software end to interact with the background control layer, and the Windows client encapsulates the Web page end and provides a software operation entrance.
[0042] In addition, the functional module data foundation of the welding control system 100 uses the distributed version control system Git to perform version control, branch management and team collaboration on the code, and the front-end and back-end codes are managed separately. For example, the front-end uses the Vue CLI scaffolding to build a Vue.js project, and develops functional modules in the Visual Studio Code editor. Element UI is installed through npm as the UI basic framework of the project, and a beautiful and easy-to-use Web interface is quickly built. HTTP requests are sent to the server through Axios to interact with the back-end API and obtain and process data, while the back-end uses the Java language and development frameworks such as SpringFramework and Hibernate.
[0043] The welding control system for prefabricated structures provided by the embodiments of the present disclosure constructs a model atlas of the prefabricated structure by building modules, and sets weld components at the connecting grooves of the component parts of the prefabricated structure in the model atlas, and the weld components are associated with the prefabricated welding parameters corresponding to the connecting grooves of the component parts, that is, the weld components are adapted to the connecting grooves, and the weld components can be used as a carrier of the prefabricated welding parameters, and then the control module is used to control the operating equipment group to realize precise welding between the connecting grooves of the component parts according to the processing coordinate set of the connecting grooves and the prefabricated welding parameters, with a high degree of standardization and automation, ensuring the product yield.
[0044] Based on the above embodiments, the present disclosure provides an electronic device, which includes a processor and a memory. The memory stores at least one instruction, at least one program, code set or instruction set, which is loaded and executed by the processor to implement Figure 1 to Figure 12 The steps of the welding control method of the embodiment correspond to the steps of the welding control method of the embodiment.
[0045] As another aspect, the present disclosure provides a computer-readable storage medium for storing program code, the program code for executing the aforementioned Figure 1 to Figure 12 Any one of the implementations of the welding control method of the embodiment.
[0046] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0047] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms. The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment.
[0048] In addition, each functional module in each embodiment of the present disclosure may be integrated into a processing unit, or each module may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium.
[0049] Based on such understanding, the technical solution of the present disclosure, in essence, or the part that contributes to the prior art, or the whole or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the welding control method of each embodiment of the present disclosure. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.
[0050] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure.
Claims
1. A welding control method for an assembled structure, characterized in that: The welding control method comprises: Constructing at least one model atlas of an assembled structure, wherein a weld component is provided at a connection groove of each component of the assembled structure in the model atlas, and the weld component is associated with a prefabrication welding parameter corresponding to the connection groove of the component; The processing coordinate set and the prefabrication welding parameters of the connecting grooves of each component are obtained in sequence, and the compiled processing coordinate set and the prefabrication welding parameters are sent to the operating equipment group to control the operating equipment group to process and weld the connecting grooves of the component components based on the processing coordinate set and the prefabrication welding parameters.
2. The welding control method according to claim 1, characterized in that: The step of constructing at least one model atlas of an assembled structure comprises: Establishing a three-dimensional graphic model of the at least one assembled structure, wherein the three-dimensional graphic model includes component parts and weld components disposed at the connecting grooves of the component parts; Parameter values are assigned to the component components and the weld components respectively, and the three-dimensional graphic model with the assigned parameters is processed by isometric measurement to generate a model atlas of the prefabricated structure.
3. The welding control method according to claim 2, characterized in that: The assigning parameter values to the component components and the weld component respectively comprises: Acquiring material information of the component, and assigning attribute parameters to the component in the three-dimensional graphic model according to the material information; The prefabrication welding parameters are assigned to the weld component in the three-dimensional graphic model according to the attribute parameters and the structural form of the connecting groove of the component components.
4. The welding control method according to claim 1, characterized in that: The sequentially acquiring the processing coordinate sets of the connection grooves of the component parts and the prefabrication welding parameters includes: Obtaining a module number of the prefabricated structure, and determining a model atlas corresponding to the prefabricated structure according to the module number; According to the component number of each component in the prefabricated structure, extracting the processing coordinate set associated with the component number in the model atlas; According to the weld numbers of the weld components between the component components, prefabrication welding parameters associated with the weld numbers are extracted in the model atlas.
5. The welding control method according to any one of claims 1 to 4, characterized in that: The method further comprises: Receiving welding information parameters returned by each operating equipment in the operating equipment group; The welding information parameters are analyzed and the welding quality type of the connecting groove of the component members is determined.
6. The welding control method according to claim 5, characterized in that: The analyzing the welding information parameters and determining the welding quality type of the connecting groove of the component parts includes: Obtaining a first actual welding arc voltage value in the welding information parameters; Calculating a first difference between the first actual welding arc voltage value and a reference welding arc voltage value, and when the first difference meets a first preset condition, continuously saving second actual welding arc voltage values corresponding to each sampling moment within a preset time interval; Calculating the second difference between each of the second actual welding arc voltage values and the reference welding arc voltage value, and obtaining the average value corresponding to the second difference value, and if the average value satisfies the second preset condition, intercepting the molten pool image at the connecting groove of the component member; The molten pool image is input into a pre-trained convolutional neural network model to obtain the welding quality type.
7. The welding control method according to claim 6, characterized in that: When the welding quality type is defective, the method further includes: Obtaining a device number associated with the welding information parameter; The position of the operating equipment is located according to the equipment number, and fault maintenance is performed on the operating equipment.
8. A welding control system for an assembled structure, characterized in that: The welding control system comprises: A construction module configured to construct a model atlas of at least one prefabricated structure, wherein a weld component is provided at a connection groove of each component of the prefabricated structure in the model atlas, and the weld component is associated with a prefabrication welding parameter corresponding to the connection groove of the component; The control module is configured to sequentially obtain the processing coordinate set and the prefabrication welding parameters of the connecting grooves of each of the component members, and send the compiled processing coordinate set and the prefabrication welding parameters to the operating equipment group to control the operating equipment group to process and weld the connecting grooves of the component members based on the processing coordinate set and the prefabrication welding parameters.
9. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the instruction, the program, the code set or the instruction set is loaded and executed by the processor to implement the steps of the welding control method described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the welding control method described in any one of claims 1 to 7.