A method, apparatus, and media for identifying a welding transfer mode

Abstract

The purpose of the present application is to provide a method, device and medium for identifying a welding transition mode, the method comprising: determining minimum value information corresponding to welding voltage time series data acquired in a welding process; determining target minimum value information according to the minimum value information and threshold value information corresponding to the welding voltage time series data; determining corresponding welding transition time information according to the target minimum value information; and determining a welding transition mode corresponding to the welding process according to the welding transition time information. Thus, the welding transition process can be accurately quantified through data calculation, and the transition mode of the welding process can be accurately determined.

Description

Technical Field

[0001] This application relates to the field of welding analysis, and more particularly to a technique for identifying welding transition modes. Background Technology

[0002] Different welding transition methods are applied during the welding process to suit different application scenarios and business requirements. For example, in the field of thin plate welding, such as automotive, the heat generation must be strictly controlled to avoid the penetration depth exceeding the thickness of the base material, which would lead to burn-through. Therefore, short-circuit transfer must be used. In the fields of construction machinery and shipbuilding, the base material is thicker, and the components are designed to bear large loads, requiring deeper penetration to ensure weld strength. In this case, to achieve higher heat generation, more weld filler, and faster welding speed, spray transfer must be used.

[0003] To effectively assess welding quality, it is often necessary to understand the welding transition method used during the welding process. In actual welding, the welding timing data is usually visually compared with a phase diagram (UI) to determine the appropriate welding transition method. Summary of the Invention

[0004] One object of this application is to provide a method, apparatus and medium for identifying welding transition modes.

[0005] According to one aspect of this application, a method for identifying weld transition modes is provided, the method comprising:

[0006] Determine the minimum value information corresponding to the welding voltage timing data acquired during the welding process;

[0007] The target minimum value information is determined based on the minimum value information and the threshold information corresponding to the welding voltage timing data;

[0008] Based on the target minimum value information, the corresponding welding transition time information is determined;

[0009] Based on the welding transition time information, the welding transition mode corresponding to the welding process is determined.

[0010] According to one aspect of this application, a computer device for identifying welding transition modes is provided, comprising a memory, a processor, and a computer program stored in the memory, characterized in that the processor executes the computer program to implement the steps of any of the methods described above.

[0011] According to one aspect of this application, a computer-readable storage medium is provided having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps of any of the methods described above.

[0012] According to one aspect of this application, a computer program product is provided, comprising a computer program, characterized in that, when executed by a processor, the computer program implements the steps of any of the methods described above.

[0013] According to one aspect of this application, an apparatus for identifying weld transition modes is provided, the apparatus comprising:

[0014] The module is used to determine the minimum value information corresponding to the welding voltage timing data acquired during the welding process;

[0015] The first and second modules are used to determine the target minimum value information based on the minimum value information and the threshold information corresponding to the welding voltage timing data;

[0016] The first and third modules are used to determine the corresponding welding transition time information based on the target minimum value information;

[0017] The first four modules are used to determine the welding transition mode corresponding to the welding process based on the welding transition time information.

[0018] Compared with existing technologies, this application determines the minimum value information corresponding to the welding voltage timing data acquired during the welding process; determines the target minimum value information based on the minimum value information and the threshold information corresponding to the welding voltage timing data; determines the corresponding welding transition time information based on the target minimum value information; and determines the welding transition mode corresponding to the welding process based on the welding transition time information. Therefore, the welding transition process can be accurately quantified through data calculation, and the transition mode of the welding process can be accurately determined. Attached Figure Description

[0019] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0020] Figure 1 This diagram illustrates a method for identifying a welding transition mode according to an embodiment of the present application.

[0021] Figure 2 This diagram illustrates a target timing data curve according to an embodiment of the present application.

[0022] Figure 3 This diagram illustrates a device structure for identifying welding transition modes according to an embodiment of the present application.

[0023] Figure 4 Exemplary systems that can be used to implement the various embodiments described in this application are shown.

[0024] The same or similar reference numerals in the accompanying drawings represent the same or similar parts. Detailed Implementation

[0025] The present application will now be described in further detail with reference to the accompanying drawings.

[0026] In a typical configuration of this application, the terminal, the device of the service network, and the trusted party all include one or more processors (e.g., a central processing unit (CPU)), input / output interfaces, network interfaces, and memory.

[0027] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory. Memory is an example of computer-readable media.

[0028] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PCM), programmable random access memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0029] The devices referred to in this application include, but are not limited to, user equipment, network equipment, or devices composed of user equipment and network equipment integrated through a network. The user equipment includes, but is not limited to, any mobile electronic product capable of human-computer interaction (e.g., via a touchpad), such as smartphones and tablets. These mobile electronic products can use any operating system, such as Android or iOS. The network equipment includes an electronic device capable of automatically performing numerical calculations and information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), and embedded devices. The network equipment includes, but is not limited to, computers, network hosts, single network servers, multiple network server clusters, or clouds composed of multiple servers. Here, a cloud consists of a large number of computers or network servers based on cloud computing, where cloud computing is a type of distributed computing, consisting of a virtual supercomputer composed of a group of loosely coupled computer clusters. The network includes, but is not limited to, the Internet, wide area network, metropolitan area network, local area network, VPN network, and wireless ad hoc network. Preferably, the device can also be a program running on the user equipment, network device, or a device formed by integrating user equipment and network device, network device, touch terminal, or network device and touch terminal through a network.

[0030] Of course, those skilled in the art should understand that the above-described devices are merely examples, and other existing or future devices that are applicable to this application should also be included within the scope of protection of this application, and are hereby incorporated by reference.

[0031] In the description of this application, "multiple" means two or more, unless otherwise expressly and specifically defined.

[0032] Figure 1A flowchart illustrating a method for identifying a welding transition mode according to an embodiment of this application is shown. The method includes steps S11, S12, S13, and S14. In step S11, device 1 determines minimum value information corresponding to welding voltage timing data acquired during the welding process; in step S12, device 1 determines target minimum value information based on the minimum value information and threshold information corresponding to the welding voltage timing data; in step S13, device 1 determines corresponding welding transition time information based on the target minimum value information; and in step S14, device 1 determines the welding transition mode corresponding to the welding process based on the welding transition time information.

[0033] In step S11, device 1 determines the minimum value information corresponding to the welding voltage timing data acquired during the welding process.

[0034] In some embodiments, the device 1 includes, but is not limited to, user equipment and network equipment that can be used for welding transition mode identification. In some embodiments, in short-circuit transition, when the molten droplets on the welding wire grow to a certain size, they come into contact with the molten pool to form a short-circuit liquid bridge. Under the action of gravity and the surface tension of liquid molecules, the molten droplets fall into the molten pool. In jet transition, the surface tension of the molten droplets at the end of the welding wire is very small, and the liquid metal at the end of the welding wire transitions from the tip of the welding wire to the molten pool one after another in the form of small-diameter molten droplets. Since the process of molten droplets transitioning to the molten pool is different for the two transition modes, welding voltage timing data corresponding to the molten droplet transition process to the molten pool can be obtained. By analyzing the obtained welding voltage timing data corresponding to the molten droplet transition process to the molten pool, the two welding transition modes in the welding process can be distinguished to identify the welding transition mode used in the welding. The minimum value information obtained in this embodiment includes welding voltage timing data corresponding to the molten droplet transition process to the molten pool in the welding process. The welding voltage timing data corresponding to the droplet-to-molten pool transition process includes the welding voltage timing data corresponding to the instant the droplet contacts the molten pool during short-circuit transition, or the welding voltage timing data corresponding to the instant the droplet separates from the welding wire during jet transition.

[0035] In some embodiments, step S11 includes: step S111 (not shown), where the device 1 determines the corresponding extreme value information based on the welding voltage timing data collected during the welding process; step S112 (not shown), where the device 1 determines the prominence information corresponding to the extreme value information; and step S113 (not shown), where the device 1 determines the minimum value information corresponding to the welding voltage timing data based on the prominence information.

[0036] In some embodiments, since there is a voltage drop and then rise during the transition of the molten droplet to the molten pool in actual welding, the minimum value data corresponding to the welding voltage time series data can be used as the required extreme value information. Device 1 can determine the voltage-time curve corresponding to the welding process based on the welding voltage time series data collected during the welding process, and determine the corresponding extreme value information based on the voltage-time curve. Then, the minimum value information corresponding to the droplet-to-molten pool transition process is obtained from this extreme value information.

[0037] In some embodiments, the prominence information includes the maximum difference between each extreme value and its adjacent extreme value in the extreme value information. Device 1 can filter the extreme value information based on the prominence information, filtering out extreme value data corresponding to localized minor voltage fluctuations in the extreme value information, thereby accurately selecting the welding voltage timing data corresponding to the droplet-to-molten pool transition process.

[0038] In some embodiments, step S111 includes: device 1 determining corresponding target timing data based on welding voltage timing data collected during the welding process; and determining extreme value information corresponding to the target timing data. For example, to facilitate subsequent calculation of prominence information and filtering based on this prominence information, device 1 can take negative values ​​for the welding voltage timing data to determine the corresponding target timing data. (Reference) Figure 2 The diagram illustrates a target time-series data curve. Device 1 can further determine corresponding extreme value information based on the voltage-time curve determined from the target time-series data. For example, device 1 can determine the derivative corresponding to the target time-series data, and determine the extreme values ​​corresponding to the target time-series data based on the derivative. These extreme values ​​include the maximum and minimum values ​​corresponding to the target time-series data. Since the target time-series data is obtained by taking the negative value of the welding voltage time-series data, the minimum value in the welding voltage time-series data should be the maximum value in the target time-series data. Device 1 can filter out the maximum value data corresponding to the target time-series data from the extreme values ​​corresponding to the target time-series data and use this maximum value data as the extreme value information corresponding to the target time-series data.

[0039] In some embodiments, step S113 includes: device 1 determining corresponding target extreme value information from the extreme value information based on the prominence information and preset prominence threshold information; and determining minimum value information corresponding to the welding voltage timing data based on the target extreme value information. For example, device 1 can determine the prominence information of each maximum value data corresponding to the target timing data. This prominence information is the maximum difference between each maximum value data and its adjacent maximum value data. Figure 2The length of the vertical line at each maximum data point represents the magnitude of the prominence information corresponding to that maximum data point. The longer the vertical line, the greater the prominence information value corresponding to the maximum data point. Since there may be minor local voltage fluctuations during actual welding, the welding voltage time series data will contain minimum values ​​unrelated to the droplet-to-molten pool transition process; that is, the extreme value information corresponding to the target time series data will contain irrelevant maximum data. To remove these irrelevant data, device 1 can filter target extreme value information with prominence information greater than the preset prominence threshold information from the extreme value information. For the target extreme value information, device 1 can then take a negative value to obtain the minimum value information corresponding to the welding voltage time series data.

[0040] In step S12, device 1 determines target minimum information based on the minimum information and threshold information corresponding to the welding voltage timing data. In some embodiments, the minimum information includes welding voltage timing data corresponding to the moment the molten droplet contacts the molten pool during short-circuit transition, or welding voltage timing data corresponding to the moment the molten droplet separates from the welding wire during jet transition. Since the welding voltage values ​​corresponding to the moment the molten droplet contacts the molten pool and the moment the molten droplet separates from the welding wire are often different, the threshold information can be a welding voltage threshold used to distinguish between these two processes. Using the set threshold information, device 1 can distinguish welding voltage timing data belonging to different welding transition modes in the minimum information, so as to facilitate accurate quantification of the welding transition process in the future. In some embodiments, device 1 can, based on actual calculation needs and according to the threshold information, filter out one of the welding voltage timing data corresponding to the instant of contact between the molten droplet and the molten pool during short-circuit transition and the welding voltage timing data corresponding to the instant of separation between the molten droplet and the welding wire during jet transition, as the target minimum value information. Alternatively, it can mark each welding voltage timing data in the minimum value information to distinguish whether the welding voltage timing data matches short-circuit transition or jet transition. The marked minimum value information is then used as the target minimum value information.

[0041] In some embodiments, the method further includes: step S15 (not shown), whereby device 1 determines threshold information corresponding to the welding voltage timing data based on the welding voltage timing data and the molten pool monitoring information corresponding to the welding process. In some embodiments, the molten pool monitoring information includes molten pool video information. The molten pool video information is obtained by filtering using a high-speed camera. The shooting time corresponding to the molten pool video information matches the time information of the welding voltage timing data. In some embodiments, device 1 determines the time information corresponding to the arc extinguishing and the time information corresponding to the arc burning based on the molten pool monitoring information. Based on the aforementioned time information and the welding voltage timing data, device 1 determines the welding voltage value corresponding to the arc extinguishing and the welding voltage value corresponding to the arc burning. Device 1 determines corresponding threshold information based on the welding voltage value corresponding to the arc extinguishing and the welding voltage value corresponding to the arc burning. The threshold information is greater than the maximum welding voltage value when the arc is extinguished and less than the minimum welding voltage value when the arc is burning. Since arc extinguishing exists during the short-circuit transition process, this threshold information can effectively distinguish between the short-circuit transition process and the jet transition process.

[0042] In some embodiments, the target minimum value information matches the short-circuit transition during the welding process; step S12 includes: device 1 determining target minimum value information from the minimum value information that is less than the threshold information corresponding to the welding voltage timing data. In some embodiments, since the threshold information is greater than the maximum welding voltage when the arc is extinguished and less than the minimum welding voltage when the arc is burning, and arc extinguishing exists during the short-circuit transition process, if it is necessary to filter target minimum value information that matches the short-circuit transition from the minimum value information, then minimum value information that is less than the threshold information corresponding to the welding voltage timing data can be selected as target minimum value information.

[0043] In some embodiments, the target minimum information matches the jet transition during the welding process; step S12 includes: device 1 determining target minimum information from the minimum information that is greater than the threshold information corresponding to the welding voltage timing data. In some embodiments, since the threshold information is greater than the maximum welding voltage when the arc is extinguished and less than the minimum welding voltage when the arc is burning, and arc extinguishing exists during the short-circuit transition process, if it is necessary to filter target minimum information that matches the jet transition from the minimum information, then minimum information that is greater than the threshold information corresponding to the welding voltage timing data can be selected as target minimum information.

[0044] In step S13, device 1 determines the corresponding welding transition time information based on the target minimum value information. In some embodiments, the welding transition time information matches the short-circuit transition or jet transition during the welding process. The welding transition time information includes the total short-circuit transition time during the welding process and / or the total jet transition time during the welding process. In some embodiments, the target minimum value information matches the short-circuit transition during the welding process, and device 1 determines the welding transition time information based on the target minimum value information and the minimum value information, which matches the short-circuit transition during the welding process. For example, for each target minimum value data in the target minimum value information, the next minimum value data corresponding to the target minimum value data in the minimum value information is determined; then the time interval between the target minimum value data and the next minimum value data is determined, and the time interval corresponding to all target minimum value data is summed to determine the corresponding welding transition time information. In some embodiments, the target minimum value information matches the jet transition during the welding process, and device 1 determines the welding transition time information based on the target minimum value information and the minimum value information, which matches the jet transition during the welding process. The calculation method for the welding transition time information is the same as the time calculation method in the aforementioned embodiments, so it will not be repeated here but is included by reference.

[0045] In step S14, device 1 determines the welding transition mode corresponding to the welding process based on the welding transition time information. In some embodiments, the welding transition time information includes the total short-circuit transition time and / or the total jet transition time during the welding process. Device 1 can determine the time ratio of short-circuit transition or jet transition during the welding process based on the total short-circuit transition time or the total jet transition time during the welding process, thereby determining the corresponding welding transition mode.

[0046] In some embodiments, the welding transition time information is matched with short-circuit transition or jet transition during the welding process; step S14 includes: the device 1 determines the welding transition ratio information during the welding process based on the welding transition time information; and determines the welding transition mode corresponding to the welding process based on the welding transition ratio information.

[0047] In some embodiments, if the welding transition time information includes the total short-circuit transition time during the welding process, the device 1 can use the ratio of the total short-circuit transition time to the total welding process time as the welding transition ratio information during the welding process. Then, based on the welding transition ratio information, a first ratio threshold, and a second ratio threshold, the welding transition mode corresponding to the welding process is determined. The first ratio threshold and the second ratio threshold are preset judgment thresholds, and the first ratio threshold is greater than the second ratio threshold. If the welding transition ratio information is greater than the first ratio threshold (e.g., 95%), the welding transition mode corresponding to the welding process is short-circuit transition. If the welding transition ratio information is less than the second ratio threshold (e.g., 1%), the welding transition mode corresponding to the welding process is jet transition. If the welding transition ratio information is less than or equal to the first ratio threshold and greater than or equal to the second ratio threshold, the welding transition mode corresponding to the welding process is mixed transition. In some embodiments, if the welding transition time information includes the total jet transition time during the welding process, the method for determining the welding transition mode based on the total jet transition time during the welding process is the same as or similar to the method for determining the welding transition mode based on the total short-circuit transition time in the foregoing embodiments, and therefore will not be repeated here, but is included by reference.

[0048] In some embodiments, the method further includes: step S16 (not shown), whereby device 1 acquires welding voltage timing data during the welding process. In some embodiments, device 1 can acquire welding timing data for the welding process using a high-frequency data acquisition gateway and various sensors (e.g., voltage sensors, current sensors, or airflow sensors) in actual welding production. Device 1 can preprocess the welding timing data (e.g., process outliers and missing values ​​in the welding timing data) to obtain welding voltage timing data that can be used for welding transition mode identification.

[0049] Figure 3 This diagram illustrates a device structure for identifying a welding transition mode according to an embodiment of this application. The device 1 includes a first module 11, a second module 12, a third module 13, and a fourth module 14. The first module 11 acquires minimum value information corresponding to welding voltage timing data during the welding process; the second module 12 determines target minimum value information based on the minimum value information and threshold information corresponding to the welding voltage timing data; the third module 13 determines corresponding welding transition time information based on the target minimum value information; and the fourth module 14 determines the welding transition mode corresponding to the welding process based on the welding transition time information. Here, the... Figure 3The specific implementation methods corresponding to modules 11, 12, 13 and 14 shown are the same as or similar to the specific embodiments of steps S11, S12, S13 and S14 mentioned above, and will not be repeated here. They are included here by reference.

[0050] In some embodiments, the module 11 includes a unit 111 (not shown), a second unit 112 (not shown), and a third unit 113 (not shown). The first unit 111 determines corresponding extreme value information based on welding voltage timing data collected during the welding process; the second unit 112 determines the prominence information corresponding to the extreme value information; and the third unit 113 determines the minimum value information corresponding to the welding voltage timing data based on the prominence information. Here, the specific implementations of the first unit 111, the second unit 112, and the third unit 113 are the same as or similar to the specific embodiments of steps S111, S112, and S113 described above, and therefore will not be repeated here, but are incorporated herein by reference.

[0051] In some embodiments, the device 1 further includes a five-module 15 (not shown). The five-module 15 determines threshold information corresponding to the welding voltage timing data based on the welding voltage timing data and the molten pool monitoring information corresponding to the welding process. Here, the specific implementation of the five-module 15 is the same as or similar to the specific implementation of the aforementioned step S15, and therefore will not be repeated here, but is included by reference.

[0052] In some embodiments, the device 1 further includes a six-module 16 (not shown), which acquires welding voltage timing data during the welding process. Here, the specific implementation of the six-module 16 is the same as or similar to the specific implementation of the aforementioned step S16, and therefore will not be repeated here, but is incorporated herein by reference.

[0053] Figure 4 Exemplary systems that can be used to implement the various embodiments described in this application are shown;

[0054] like Figure 4 As shown in some embodiments, system 300 can function as any of the devices described in each of the embodiments. In some embodiments, system 300 may include one or more computer-readable media having instructions (e.g., system memory or NVM / storage device 320) and one or more processors (e.g., one or more processors 305) coupled to the one or more computer-readable media and configured to execute the instructions to implement the module and thus perform the actions described in this application.

[0055] In one embodiment, the system control module 310 may include any suitable interface controller to provide any suitable interface to at least one of the processors 305 and / or any suitable device or component communicating with the system control module 310.

[0056] The system control module 310 may include a memory controller module 330 to provide an interface to the system memory 315. The memory controller module 330 may be a hardware module, a software module, and / or a firmware module.

[0057] System memory 315 can be used, for example, to load and store data and / or instructions for system 300. In one embodiment, system memory 315 may include any suitable volatile memory, such as suitable DRAM. In some embodiments, system memory 315 may include double data rate type quad synchronous dynamic random access memory (DDR4 SDRAM).

[0058] In one embodiment, the system control module 310 may include one or more input / output (I / O) controllers to provide interfaces to the NVM / storage device 320 and (one or more) communication interfaces 325.

[0059] For example, NVM / storage device 320 may be used to store data and / or instructions. NVM / storage device 320 may include any suitable non-volatile memory (e.g., flash memory) and / or may include any suitable (one or more) non-volatile storage devices (e.g., one or more hard disk drives (HDDs), one or more optical disc drives (CDs), and / or one or more digital universal optical disc (DVD) drives).

[0060] NVM / storage device 320 may include storage resources that are physically part of a device on which system 300 is mounted, or that can be accessed by the device without necessarily being part of it. For example, NVM / storage device 320 may be accessed via a network through one or more communication interfaces 325.

[0061] One or more communication interfaces 325 may provide the system 300 with an interface to communicate over one or more networks and / or with any other suitable device. The system 300 may wirelessly communicate with one or more components of a wireless network in accordance with any of one or more wireless network standards and / or protocols.

[0062] In one embodiment, at least one of the processors 305 may be logically packaged with one or more controllers of the system control module 310 (e.g., memory controller module 330). In one embodiment, at least one of the processors 305 may be logically packaged with one or more controllers of the system control module 310 to form a system-in-package (SiP). In one embodiment, at least one of the processors 305 may be integrated with the logic of one or more controllers of the system control module 310 on the same die. In one embodiment, at least one of the processors 305 may be integrated with the logic of one or more controllers of the system control module 310 on the same die to form a system-on-a-chip (SoC).

[0063] In various embodiments, system 300 may be, but is not limited to, a server, workstation, desktop computing device, or mobile computing device (e.g., laptop computing device, handheld computing device, tablet computer, netbook, etc.). In various embodiments, system 300 may have more or fewer components and / or different architectures. For example, in some embodiments, system 300 includes one or more cameras, a keyboard, a liquid crystal display (LCD) screen (including a touchscreen display), a non-volatile memory port, multiple antennas, a graphics chip, an application-specific integrated circuit (ASIC), and a speaker.

[0064] In addition to the methods and devices described in the above embodiments, this application also provides a computer-readable storage medium storing computer code that, when executed, performs the method described in any of the preceding embodiments.

[0065] This application also provides a computer program product that, when executed by a computer device, performs the method described in any of the preceding claims.

[0066] This application also provides a computer device, the computer device comprising:

[0067] One or more processors;

[0068] Memory, used to store one or more computer programs;

[0069] When the one or more computer programs are executed by the one or more processors, the one or more processors cause the one or more processors to perform the method as described in any of the preceding methods.

[0070] It should be noted that this application can be implemented in software and / or a combination of software and hardware, for example, using an application-specific integrated circuit (ASIC), a general-purpose computer, or any other similar hardware device. In one embodiment, the software program of this application can be executed by a processor to implement the steps or functions described above. Similarly, the software program of this application (including related data structures) can be stored in a computer-readable recording medium, such as RAM memory, magnetic or optical drives, floppy disks, and similar devices. Furthermore, some steps or functions of this application can be implemented in hardware, for example, as circuitry that cooperates with a processor to perform the various steps or functions.

[0071] Furthermore, a portion of this application can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to this application through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0072] Communication media include media through which communication signals containing, for example, computer-readable instructions, data structures, program modules, or other data are transmitted from one system to another. Communication media can include guided transmission media (such as cables and wires (e.g., optical fibers, coaxial cables, etc.)) and wireless (unguided transmission) media capable of propagating energy waves, such as sound, electromagnetic, RF, microwave, and infrared. Computer-readable instructions, data structures, program modules, or other data can be embodied as modulated data signals in, for example, wireless media (such as carrier waves or similar mechanisms embodied as part of spread spectrum technology). The term "modulated data signal" refers to a signal whose one or more characteristics are altered or set in a manner that encodes information in the signal. Modulation can be analog, digital, or a hybrid modulation technique.

[0073] By way of example and not limitation, computer-readable storage media may include volatile and non-volatile, removable and non-removable media implemented by any method or technique for storing information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media include, but are not limited to, volatile memories such as random access memory (RAM, DRAM, SRAM); and non-volatile memories such as flash memory, various read-only memories (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic / ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disks, magnetic tapes, CDs, DVDs); or other media now known or hereafter developed capable of storing computer-readable information / data for use by a computer system.

[0074] Herein, one embodiment of this application includes an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the apparatus is triggered to run a method and / or technical solution based on the foregoing embodiments of this application.

[0075] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within this application. No reference numerals in the claims should be construed as limiting the scope of the claims. Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in the apparatus claims may also be implemented by a single unit or device in software or hardware. The terms "first," "second," etc., are used to indicate names and do not indicate any particular order.

Claims

1. A method for identifying weld transition modes, wherein, The method includes: Determining the minimum value information corresponding to the welding voltage time-series data acquired during the welding process includes: determining corresponding target time-series data based on the welding voltage time-series data collected during the welding process; determining the extreme value information corresponding to the target time-series data, wherein the target time-series data is obtained by taking the negative value of the welding voltage time-series data, and the minimum value data in the welding voltage time-series data is the maximum value data in the target time-series data; determining the prominence information corresponding to the extreme value information; determining the corresponding target extreme value information from the extreme value information based on the prominence information and a preset prominence threshold information; determining the minimum value information corresponding to the welding voltage time-series data based on the target extreme value information, wherein, based on the preset prominence threshold information, target extreme value information with prominence information greater than the prominence threshold information is selected from the extreme value information; for the target extreme value information, a negative value is taken to obtain the minimum value information corresponding to the welding voltage time-series data; wherein, the prominence information includes the maximum difference between each extreme value data and its adjacent extreme value data in the extreme value information; Based on the minimum value information and the threshold information corresponding to the welding voltage timing data, a target minimum value information is determined; wherein, determining the target minimum value information based on the minimum value information and the threshold information corresponding to the welding voltage timing data includes: determining a target minimum value information from the minimum value information that is less than the threshold information corresponding to the welding voltage timing data, wherein the target minimum value information matches the short-circuit transition during the welding process; or, determining a target minimum value information from the minimum value information that is greater than the threshold information corresponding to the welding voltage timing data, wherein the target minimum value information matches the jet transition during the welding process; Based on the target minimum value information, the corresponding welding transition time information is determined, including: for each target minimum value data in the target minimum value information, determining the next minimum value data corresponding to the target minimum value data in the minimum value information; then determining the time interval between the target minimum value data and the next minimum value data; summing the time intervals corresponding to all target minimum values ​​to determine the corresponding welding transition time information; Based on the welding transition time information, the welding transition mode corresponding to the welding process is determined, wherein the welding transition time information is matched with short-circuit transition or jet transition in the welding process; determining the welding transition mode corresponding to the welding process based on the welding transition time information includes: determining the welding transition ratio information in the welding process based on the welding transition time information; and determining the welding transition mode corresponding to the welding process based on the welding transition ratio information.

2. The method according to claim 1, wherein, The method further includes: Based on the welding voltage timing data and the molten pool monitoring information corresponding to the welding process, the threshold information corresponding to the welding voltage timing data is determined.

3. A computer device for identifying welding transition modes, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method as described in claim 1 or 2.

4. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method as described in claim 1 or 2.

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