Steel wire welding control method and system, storage medium and program product

Abstract

The invention discloses a steel wire welding control method and system, a storage medium and a program product, and relates to the field of welding splicers.The method comprises the steps that firstly, welding selection information including material types and environment parameters is obtained, and welding parameters such as an initial current value, an initial voltage value and a welding wire feeding speed value are determined; then triggering a welding starting instruction to start a welding process; in the welding process, welding state detection information is collected in real time through a sensor network, all detected parameters are compared with a preset change threshold value in real time, and when it is found that a certain detection parameter exceeds the threshold value range, a parameter adjusting instruction is triggered immediately; and finally, the current value, the voltage value and the welding wire feeding speed value are updated in real time according to the adjusting instruction, so that the welding process is always kept in the optimal state. By acquiring the material characteristics and the environmental parameters, an intelligent parameter configuration mechanism is established, the welding state is monitored in real time, the process parameters are dynamically adjusted, and accurate control over the welding process is achieved.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of welding machines, and particularly relates to a steel wire welding control method, system, storage medium and program product. BACKGROUND

[0002] Steel wire welding technology is widely used in industrial manufacturing. Traditional welding control methods mainly determine process parameters based on experience and adjust them. However, this experience-based control method cannot guarantee the stability of the welding quality and is easily affected by environmental factors and material differences.

[0003] Some automatic control systems have appeared in related technologies. These systems realize the automation of the welding process by pre-establishing a process parameter library and combining computer control technology. Specifically, the prior art establishes welding process specifications by setting basic process parameters such as current, voltage and wire feeding speed, uses sensors to monitor the arc characteristics and temperature changes in the welding process, and adjusts according to the preset parameter range. At the same time, some systems are also equipped with a weld tracking device and a quality detection module to ensure the execution of the welding process.

[0004] However, the existing control method lacks pertinence in parameter setting and fails to fully consider the influence of material characteristics and environmental factors. Moreover, the parameter adjustment in the welding process is not flexible enough to respond to changes in working conditions in real time, and this situation needs to be further improved. SUMMARY

[0005] The application provides a steel wire welding control method for improving the stability of welding quality and the automation level. The method establishes an intelligent parameter configuration mechanism by obtaining material characteristics and environmental parameters, monitors the welding state in real time and dynamically adjusts the process parameters, and realizes accurate control of the welding process.

[0006] In a first aspect, the application provides a steel wire welding control method, comprising: obtaining welding selection information and obtaining welding parameter information according to the welding selection information, wherein the welding selection information includes material type and environmental parameters, and the welding parameter information includes current value, voltage value and wire feeding speed value; triggering a welding start instruction according to the welding parameter information; obtaining welding state detection information in real time according to the welding start instruction, comparing the welding state detection information with a preset change threshold, and triggering a parameter adjustment instruction if the detection parameter exceeds the preset change threshold range; dynamically adjusting the current value, voltage value and wire feeding speed value according to the parameter adjustment instruction.

[0007] By adopting the above technical solution, this application first obtains welding selection information, including material type and environmental parameters, and determines the initial welding parameters such as current value, voltage value, and wire feed speed based on this information; then, it triggers a welding start command to begin the welding process; during the welding process, a sensor network collects welding status detection information in real time, and compares the detected parameters with pre-set change thresholds in real time. When a detected parameter exceeds the threshold range, a parameter adjustment command is immediately triggered; finally, according to the adjustment command, the current value, voltage value, and wire feed speed are updated in real time to keep the welding process in an optimal state. By acquiring material characteristics and environmental parameters, an intelligent parameter configuration mechanism is established to monitor the welding status in real time and dynamically adjust process parameters, achieving precise control of the welding process. In conjunction with some implementations of the first aspect, in some implementations, obtaining splice selection information and obtaining splice parameter information based on the splice selection information specifically includes: Obtain welding selection information, extract the material type from the welding selection information, and obtain material characteristic parameters; The current value, voltage value, and wire feed speed value are determined based on the material property parameters and the environmental parameters. The welding parameter information is obtained by correlating the current value, voltage value, and wire feed speed value.

[0008] By adopting the above technical solution, this application uses material characteristic parameters as the core basis for welding parameter configuration, establishes a conversion mechanism from welding selection information to specific process parameters, and realizes the coordinated configuration of various process parameters through parameter association; welding parameters can be accurately set according to material characteristics, avoiding the blind setting of parameters and improving the scientificity and accuracy of parameter configuration. In conjunction with some embodiments of the first aspect, in some embodiments, the material characteristic parameters include material thickness and material composition, and the determination of current value, voltage value, and welding wire feed speed value based on the material characteristic parameters and the environmental parameters specifically includes: Based on the material thickness in the material characteristic parameters, the reference current value, reference voltage value, and reference welding wire feed speed value are obtained from the preset parameter correspondence table; Based on the material composition in the material property parameters, obtain the composition correction coefficient; Based on the ambient temperature and humidity parameters, obtain the environmental correction factor; The reference current value, reference voltage value, and reference wire feed speed value are calculated with the composition correction coefficient and the environmental correction coefficient respectively to obtain the current value, voltage value, and wire feed speed value.

[0009] By adopting the above technical solution, this application first determines the benchmark parameters based on the material thickness, and then corrects the parameters based on the material composition and environmental conditions, thereby achieving fine adjustment of the parameter settings; it fully considers the comprehensive influence of material thickness, material composition and environmental factors on the welding parameters, improves the adaptability of parameter configuration, and ensures the matching degree between the welding parameters and the actual working conditions. In conjunction with some implementations of the first aspect, in some implementations, the weld status detection information includes arc status information and weld pool status information. The real-time acquisition of the weld status detection information and the comparison of the weld status detection information with a preset change threshold specifically includes: The arc status information and molten pool status information are collected synchronously at the preset sampling frequency. The collected arc state information is analyzed in real time to obtain arc stability values; The collected molten pool status information is analyzed in real time to obtain the molten depth and molten width values; The values ​​of arc stability, melt depth, and melt width are compared with preset change thresholds in real time.

[0010] By adopting the above technical solution, this application achieves comprehensive monitoring of the welding process by synchronously collecting arc and molten pool information and converting this information into quantifiable state parameters; it can promptly detect problems such as unstable arc, insufficient weld depth, or abnormal weld width, thereby improving the accuracy and real-time performance of welding status monitoring. In conjunction with some implementations of the first aspect, in some implementations, the step of dynamically adjusting the current value, voltage value, and welding wire feed speed value according to the parameter adjustment command specifically includes: The deviation value of the detection parameter is calculated in real time according to the parameter adjustment instruction; The adjustment coefficient is dynamically calculated based on the real-time trend of the deviation value. The current value, voltage value, and wire feed speed value are updated in real time according to the adjustment coefficient. The calculation period of the adjustment coefficient is matched with the sampling period of the detection parameter.

[0011] By adopting the above technical solution, this application establishes a parameter adjustment mechanism based on deviation analysis. By calculating the deviation value of the detection parameter in real time and analyzing its changing trend, the adjustment coefficient is dynamically generated. At the same time, the calculation cycle of the adjustment coefficient is synchronized with the sampling cycle of the detection parameter, forming a complete closed-loop parameter adjustment process; thus improving the dynamic adaptability and control accuracy of the welding process. In conjunction with some embodiments of the first aspect, in some embodiments, after obtaining the fusion splice selection information, the method further includes: Based on the material type, determine whether preheating is required; If the material type requires preheating, the preheating requirements are obtained, and a preheating control command is triggered. The preheating requirements include preheating temperature and preheating time. During the preheating process, infrared sensors are used to collect workpiece temperature data in real time. The workpiece temperature data is compared with the preheating treatment requirements, and the preheating parameters are dynamically adjusted. When the workpiece temperature reaches the preheating temperature and the duration reaches the preheating time, the welding start command is triggered. The preheating treatment requires that the parameters be obtained from a pre-set preheating parameter database according to the material type.

[0012] By adopting the above technical solution, this application forms a systematic preheating management mechanism, from judging preheating needs to configuring preheating parameters, to real-time temperature monitoring and dynamic adjustment, and finally confirming the preheating effect and triggering the welding start. This can effectively prevent problems such as cold cracks that may occur in certain materials during the welding process, improve the controllability and accuracy of the preheating process, and improve the welding quality. In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: After the fusion is completed, collect the surface forming data of the weld. Data on internal defects in welds are obtained using X-ray inspection equipment; The surface forming data and internal defect data of the weld are compared with a preset quality standard, which is determined based on the material type and workpiece usage requirements. A welding quality inspection report is generated based on the comparison results. The inspection report includes the weld appearance quality, internal quality, and overall rating.

[0013] By adopting the above technical solution, this application comprehensively evaluates weld quality through a combination of surface inspection and internal flaw detection, and formulates differentiated quality evaluation standards based on material type and workpiece usage requirements, thus forming a quality evaluation mechanism; it can promptly detect various defects on the weld surface and inside, improving the reliability and traceability of welding quality. In a second aspect, embodiments of this application provide a wire welding control system, comprising: one or more processors and a memory; the memory is coupled to one or more processors, the memory is used to store computer program code, the computer program code including computer instructions, and one or more processors call the computer instructions to cause the system to perform the method described in the first aspect and any possible implementation thereof. Thirdly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on a system, cause the system to perform the method described in the first aspect and any possible implementation thereof. Fourthly, embodiments of this application provide a computer program product that, when run on a system, causes the system to execute the method described in any possible implementation of the first aspect. One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. This application provides a method for controlling steel wire welding. By acquiring welding selection information such as material type and environmental parameters, welding parameters such as initial current value, voltage value, and wire feed speed value are determined. During the welding process, a sensor network is used to collect welding status detection information in real time. The detected parameters are compared with preset thresholds. When the parameters exceed the threshold range, an adjustment command is triggered to update the process parameters in real time and maintain the optimal state of the welding process. This application establishes an intelligent parameter configuration mechanism based on material characteristics and environmental parameters. Through real-time monitoring and dynamic adjustment, precise control of the welding process is achieved.

[0014] 2. This application provides a method for controlling steel wire welding. First, the baseline parameters are determined based on the material thickness. Then, the parameters are corrected by the material composition and environmental conditions, thereby achieving fine adjustment of the parameter settings. It fully considers the comprehensive influence of material thickness, material composition and environmental factors on the welding parameters, improves the adaptability of parameter configuration, and ensures the matching degree between the welding parameters and the actual working conditions.

[0015] 3. This application provides a method for controlling steel wire welding, which forms a systematic preheating management mechanism from judging preheating requirements to configuring preheating parameters, to real-time temperature monitoring and dynamic adjustment, and finally confirming the preheating effect and triggering welding. It can effectively prevent problems such as cold cracking that may occur in certain materials during the welding process, improve the controllability and accuracy of the preheating process, and improve the welding quality. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a steel wire welding control method in an embodiment of this application.

[0017] Figure 2 This is another schematic flowchart of a steel wire welding control method in the embodiments of this application.

[0018] Figure 3 This is a schematic diagram of the physical device structure of a steel wire welding control system provided in an embodiment of this application. Detailed Implementation

[0019] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0020] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more. In the industrial manufacturing sector, steel wire welding technology is a key process for ensuring product quality and production efficiency.

[0021] In related technologies, welding control systems primarily rely on pre-set process parameter libraries for process parameter configuration. These libraries are typically based on standard operating conditions and fail to adequately consider the differences in material properties and the influence of environmental factors. For example, using the same welding parameters for steels of the same specifications but different compositions may result in insufficient weld penetration or over-melting. When ambient temperature and humidity fluctuate, the pre-set parameters cannot be adjusted accordingly, affecting the stability of weld quality. Furthermore, existing systems lack effective real-time monitoring and dynamic control methods during the welding process, making it impossible to promptly detect and address issues such as arc instability and abnormal molten pools, leading to fluctuations in weld quality and even defects such as porosity and slag inclusions. Simultaneously, the lack of a comprehensive quality assessment mechanism makes it difficult to fully monitor and intervene in the welding process in a timely manner.

[0022] This application is mainly applied to scenarios such as large steel structure manufacturing, pipe welding, and precision parts processing, which have high requirements for welding quality and process stability. In these applications, there is a variety of materials, complex environmental conditions, and significant differences in workpiece size and shape, making traditional welding control methods difficult to meet practical needs. To solve the above technical problems, this application provides a steel wire welding control method, system, storage medium, and program product. An embodiment is described below in conjunction with… Figure 1 The following describes a method for controlling wire welding in an embodiment of this application: Please see Figure 1 This is a flowchart illustrating a steel wire welding control method in an embodiment of this application.

[0023] S101. Obtain welding selection information and obtain welding parameter information based on the welding selection information.

[0024] The welding selection information includes material type and environmental parameters, while the welding parameter information includes current value, voltage value, and wire feed speed value.

[0025] Specifically, the system first acquires welding selection information including material type and environmental parameters. Material type can be determined through material identification, test reports, etc. Different materials, such as carbon steel and stainless steel, have significantly different welding characteristics. Environmental parameters can be acquired through various sensors; for example, temperature sensors measure ambient temperature, and humidity sensors measure ambient humidity. After extracting the material type from the welding selection information, the system further acquires material characteristic parameters, including material thickness and material composition. Material thickness can be measured using tools such as calipers, and material composition can be determined through methods such as spectral analysis. Based on the material characteristic parameters and environmental parameters, the system determines the current, voltage, and wire feed speed values. First, based on the material thickness, the system obtains the reference current, reference voltage, and reference wire feed speed values ​​from a pre-defined parameter correspondence table. This pre-defined parameter correspondence table is derived from extensive experiments and experience; different material thicknesses correspond to different reference parameters. Then, based on the material composition, the system obtains a composition correction coefficient. Different material compositions have different effects on welding parameters, and the composition correction coefficient can adjust the reference parameters to adapt to the welding requirements of different materials. Simultaneously, environmental correction coefficients are obtained based on the ambient temperature and humidity parameters. Ambient temperature and humidity affect the arc stability and weld pool condition during the welding process, and the environmental correction coefficients allow the welding parameters to better adapt to environmental changes. Finally, the reference current value, reference voltage value, and reference wire feed speed value are calculated with the composition correction coefficient and environmental correction coefficient, respectively, to obtain the final current value, voltage value, and wire feed speed value. These calculations can include multiplication, for example, multiplying the reference current value by the composition correction coefficient and environmental correction coefficient to obtain the actual required current value.

[0026] Understandably, material properties are key factors influencing welding parameter configuration. Material thickness determines the required weld penetration and heat input; thicker materials typically require higher current and slower wire feed rates. Material composition affects melting point, thermal conductivity, and cooling rate; for example, high-carbon steel requires preheating and slower cooling. Environmental parameters primarily consider the effects of temperature and humidity. Temperature affects the preheating state and cooling rate, while humidity affects arc stability and hydrogen content. The system first retrieves baseline values ​​from a parameter correspondence table based on material thickness. The data in this table was obtained through extensive experiments under standard conditions. The composition correction factor comprehensively considers the content of various elements in the material and their impact on welding performance; for example, a higher carbon equivalent results in a smaller correction factor to reduce heat input. The environmental correction factor is calculated based on the deviation of actual temperature and humidity from standard conditions.

[0027] S102. Trigger the welding start command based on the welding parameter information.

[0028] Specifically, after determining the welding parameters, the system issues a welding start command to control the welding equipment to begin the welding operation. The welding equipment can be various types of welding machines, such as arc welding equipment. The system primarily checks whether the current, voltage, and wire feed speed are within the equipment's allowable range and whether these parameters meet the matching requirements. For example, the ratio of current to voltage needs to be within a suitable range to ensure arc stability, and the wire feed speed needs to match the current to ensure continuous droplet transfer. After the parameters pass the check, the system performs a series of pre-start preparations. These include checking if the wire is sufficient, checking if the shielding gas flow is normal, confirming that the workpiece is properly secured, and verifying that the cooling system is operating normally. For materials requiring preheating, it also confirms that the preheating temperature meets the requirements. These preparations effectively prevent various problems from occurring during the welding process. The welding start command is triggered using a step-by-step start strategy: first, the shielding gas is activated to ensure effective protection of the arc area; then, the current is gradually increased to the set value to avoid start-up shock; finally, the wire feed is activated, allowing the entire welding process to smoothly enter a stable state. This gradual start-up method can reduce spatter during arc initiation and improve the quality of the initial welding stage.

[0029] S103. Obtain welding status detection information in real time according to the welding start command, compare the welding status detection information with the preset change threshold, and trigger the parameter adjustment command if the detection parameter exceeds the preset change threshold range.

[0030] Specifically, the welding status detection information includes arc status information and molten pool status information. Arc status information and molten pool status information are collected synchronously at a preset sampling frequency. The sampling frequency can be set according to actual needs, for example, collecting data once per second. Arc status information can be collected using an arc sensor, which can monitor parameters such as arc voltage and current in real time, and analyze the collected arc status information in real time to obtain arc stability values. Arc stability values ​​reflect the stability of the arc during the welding process, for example, by calculating the fluctuation range of arc voltage and current. Molten pool status information can be collected using devices such as vision sensors, which can capture images of the molten pool, and analyze the collected molten pool status information in real time to obtain weld depth and weld width values. Weld depth and weld width are important indicators for measuring welding quality; through processing and analysis of the molten pool image, the values ​​of weld depth and weld width can be accurately obtained. The arc stability values, weld depth values, and weld width values ​​are then compared in real time with preset change thresholds. The preset change threshold is determined based on factors such as material type and workpiece usage requirements. If the detection parameters exceed the preset change threshold range, it indicates that there may be a problem in the welding process, and adjustments are needed.

[0031] S104. Dynamically adjust the current value, voltage value, and wire feed speed value according to the parameter adjustment command.

[0032] Specifically, when the detected parameters exceed the preset threshold range, the system triggers a parameter adjustment command. Based on this command, the deviation of the detected parameters is calculated in real time; the deviation is the difference between the detected parameter and the preset threshold. An adjustment coefficient is dynamically calculated based on the real-time trend of the deviation. This adjustment coefficient can be calculated using a specific algorithm, such as a proportional-integral-derivative (PID) algorithm, which determines the adjustment magnitude based on the magnitude and trend of the deviation. The current, voltage, and wire feed speed are updated in real time based on the adjustment coefficient. The calculation cycle of the adjustment coefficient matches the sampling cycle of the detected parameters, ensuring timely and accurate adjustment of the welding parameters.

[0033] In one implementation, parameter adjustment employs a hierarchical, progressive control strategy. The first layer is a fast-response layer, which quickly corrects sudden deviations, such as immediately increasing voltage when an arc breaks. The second layer is a steady-state regulation layer, handling persistent deviations and optimizing parameters through gradual adjustment. The third layer is a collaborative control layer, ensuring the matching relationship between parameters and avoiding chain reactions caused by adjusting a single parameter. The adjustment algorithm uses an improved PID control method. The proportional term is used to directly respond to deviations, the integral term eliminates static errors, and the derivative term predicts the trend of change. In specific implementation, different PID parameters are set according to the characteristics of different parameters: voltage regulation uses a larger proportional coefficient and a smaller integral time to achieve fast response; current regulation uses a smaller proportional coefficient and a larger integral time to ensure smooth adjustment.

[0034] Furthermore, after welding is completed, the system collects weld surface formation data. Laser scanning equipment can be used to scan the weld surface, obtaining data such as its shape and dimensions. An X-ray inspection device is used to acquire internal weld defect data, detecting defects such as porosity and slag inclusions. The weld surface formation data and internal defect data are compared with preset quality standards, determined based on material type and workpiece usage requirements. A welding quality inspection report is generated based on the comparison results. The report includes weld appearance quality, internal quality, and a comprehensive rating, facilitating the evaluation and management of welding quality.

[0035] In the above embodiments, by acquiring welding selection information such as material type and environmental parameters, welding parameters such as initial current value, voltage value, and wire feed speed value are determined. During the welding process, a sensor network is used to collect welding status detection information in real time, and the detection parameters are compared with preset thresholds. When the parameters exceed the threshold range, an adjustment command is triggered to update the process parameters in real time and maintain the optimal state of the welding process. This embodiment establishes an intelligent parameter configuration mechanism based on material characteristics and environmental parameters, and achieves precise control of the welding process through real-time monitoring and dynamic adjustment.

[0036] In the above embodiments, intelligent parameter configuration and dynamic adjustment control of the welding process were achieved. However, for certain special materials, such as high-strength steel and high-carbon steel, relying solely on welding process control is insufficient to guarantee welding quality. To further improve the applicability of the welding process and prevent quality problems such as cold cracking, this application also provides another method for controlling steel wire welding. The following describes... Figure 2 Another method for controlling wire welding in the embodiments of this application is described below: Please see Figure 2 This is another flowchart illustrating a steel wire welding control method in an embodiment of this application.

[0037] S201. Determine whether preheating treatment is required based on the material type.

[0038] Specifically, the system will conduct a comprehensive analysis based on the chemical composition, thickness and other characteristics of the material. For example, when the carbon equivalent of the material is high and the thickness exceeds the critical value, the system will determine that preheating treatment is required.

[0039] S202. If the material type requires preheating treatment, obtain the preheating treatment requirements and trigger the preheating control command.

[0040] The preheating requirements include preheating temperature and preheating time, which are obtained from a pre-set preheating parameter database based on the material type.

[0041] Specifically, for materials requiring preheating, the system retrieves preheating requirements from a pre-set preheating parameter database. This database stores parameters such as preheating temperature and time for different material types. For example, for some high-strength steels, the preheating temperature may need to reach 150-200℃, and the preheating time may need to last 30-60 minutes. Based on the retrieved preheating requirements, the system triggers a preheating control command and starts the preheating equipment.

[0042] S203. During the preheating process, the workpiece temperature data is collected in real time by an infrared sensor.

[0043] During the preheating process, the system collects temperature data in real time through a network of infrared sensors deployed on the workpiece surface. The infrared sensors allow for non-contact measurement, avoiding any impact on the workpiece surface.

[0044] S204. Compare the workpiece temperature data with the preheating treatment requirements and dynamically adjust the preheating parameters.

[0045] Specifically, the system compares the collected temperature data with the preheating requirements in real time. If uneven temperature distribution or abnormal temperature rise rate is detected, it automatically adjusts the preheating power or preheating location. Furthermore, the system has established an intelligent preheating parameter optimization mechanism. By analyzing historical preheating data, the system can continuously optimize the preheating parameter database. For example, for a specific material, if multiple preheating records show a deviation between the actual required preheating time and the preset value, the system will automatically adjust the recommended preheating parameter values ​​for that material.

[0046] In addition, the system is equipped with multiple safety protections. First, it controls the rate of temperature rise to prevent thermal stress caused by excessively rapid heating. Second, it protects against the upper temperature limit to avoid adverse effects on material properties from overheating. Finally, it controls the temperature difference between adjacent areas to limit the maximum temperature gradient and prevent deformation. When any safety parameter exceeds the limit, the system will automatically reduce the heating power or trigger an alarm.

[0047] S205. When the workpiece temperature reaches the preheating temperature and the duration reaches the preheating time, the welding start command is triggered.

[0048] When the temperature at each temperature measuring point of the workpiece reaches the preset preheating temperature and the duration meets the preheating time requirement, the system determines that the preheating process is complete and then triggers the welding start command.

[0049] In one specific embodiment, the dynamic adjustment of preheating parameters employs a zoned control strategy. The system divides the workpiece into multiple preheating zones, each equipped with an independent temperature sensor and heater. By analyzing the temperature data of each zone in real time, the system can precisely control the heating power of each zone, ensuring uniform temperature distribution across the entire workpiece. This zoned control method is particularly suitable for the preheating of large or complex-shaped workpieces.

[0050] Furthermore, after preheating, the system will also implement heat preservation control. By adjusting the heating power, the workpiece temperature is stabilized within the preset temperature range until the welding operation begins, avoiding temperature fluctuations and creating stable starting conditions for the subsequent welding process. For some special materials, such as those with strict heat treatment requirements, the system can gradually increase the workpiece temperature in multiple stages according to a preset temperature curve, with each stage having independent temperature and time requirements.

[0051] In the above embodiments, by establishing a complete preheating control system, intelligent management of the preheating process is achieved. This not only ensures the reliability of the preheating effect but also greatly improves the automation level and repeatability of the preheating process. Combined with welding control, a complete high-quality welding solution is formed, particularly suitable for welding high-performance materials requiring strict preheating control. The system in the embodiments of this invention is described below from the perspective of hardware processing. Please refer to [link / reference needed]. Figure 3 This is a schematic diagram of the physical device structure of a steel wire welding control system provided in an embodiment of this application.

[0052] It should be noted that, Figure 3 The structure of the system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0053] like Figure 3As shown, the system includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes based on a program stored in Read-Only Memory (ROM) 302 or a program loaded from storage portion 308 into Random Access Memory (RAM) 303, such as executing the methods described in the above embodiments. The RAM 303 also stores various programs and data required for system operation. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0054] The following components are connected to I / O interface 305: input section 306 including a camera, infrared sensor, etc.; output section 307 including a liquid crystal display (LCD) and speakers, etc.; storage section 308 including a hard disk, etc.; and communication section 309 including a network interface card such as a LAN (Local Area Network) card and a modem, etc. Communication section 309 performs communication processing via a network such as the Internet. Drive 310 is also connected to I / O interface 305 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0055] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs the various functions defined in the present invention.

[0056] It should be noted that the computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. The transmitted data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0057] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0058] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the system described in the above embodiments; or it may exist independently and not assembled into the system. The storage medium carries one or more computer programs that, when executed by a processor of a system, cause the system to implement the methods provided in the above embodiments.

[0059] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0060] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0061] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0062] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for controlling steel wire welding, characterized in that, include: Obtain welding selection information, and based on the welding selection information, obtain welding parameter information, wherein the welding selection information includes material type and environmental parameters, and the welding parameter information includes current value, voltage value and welding wire feed speed value; Based on the welding parameter information, a welding start command is triggered; According to the welding start command, the welding status detection information is obtained in real time, and the welding status detection information is compared with the preset change threshold. If the detection parameter exceeds the preset change threshold range, the parameter adjustment command is triggered. The current value, voltage value, and wire feed speed are dynamically adjusted according to the parameter adjustment instructions.

2. The method according to claim 1, characterized in that, The step of obtaining splice selection information and obtaining splice parameter information based on the splice selection information specifically includes: Obtain welding selection information, extract the material type from the welding selection information, and obtain material characteristic parameters; The current value, voltage value, and wire feed speed value are determined based on the material property parameters and the environmental parameters. The welding parameter information is obtained by correlating the current value, voltage value, and wire feed speed value.

3. The method according to claim 2, characterized in that, The material characteristic parameters include material thickness and material composition. The determination of current, voltage, and wire feed speed based on the material characteristic parameters and the environmental parameters specifically includes: Based on the material thickness in the material characteristic parameters, the reference current value, reference voltage value, and reference welding wire feed speed value are obtained from the preset parameter correspondence table; Based on the material composition in the material property parameters, obtain the composition correction coefficient; Based on the ambient temperature and humidity parameters, obtain the environmental correction factor; The reference current value, reference voltage value, and reference wire feed speed value are calculated with the composition correction coefficient and the environmental correction coefficient respectively to obtain the current value, voltage value, and wire feed speed value.

4. The method according to claim 1, characterized in that, The weld status detection information includes arc status information and weld pool status information. The real-time acquisition of the weld status detection information, and the comparison of the weld status detection information with a preset change threshold, specifically includes: The arc status information and molten pool status information are collected synchronously at the preset sampling frequency. The collected arc state information is analyzed in real time to obtain arc stability values; The collected molten pool status information is analyzed in real time to obtain the molten depth and molten width values; The values ​​of arc stability, melt depth, and melt width are compared with preset change thresholds in real time.

5. The method according to claim 1, characterized in that, The step of dynamically adjusting the current value, voltage value, and welding wire feed speed value according to the parameter adjustment command specifically includes: The deviation value of the detection parameter is calculated in real time according to the parameter adjustment instruction; The adjustment coefficient is dynamically calculated based on the real-time trend of the deviation value. The current value, voltage value, and wire feed speed value are updated in real time according to the adjustment coefficient. The calculation period of the adjustment coefficient is matched with the sampling period of the detection parameter.

6. The method according to claim 1, characterized in that, After obtaining the fusion splice selection information, the method further includes: Based on the material type, determine whether preheating is required; If the material type requires preheating, the preheating requirements are obtained, and a preheating control command is triggered. The preheating requirements include preheating temperature and preheating time. During the preheating process, infrared sensors are used to collect workpiece temperature data in real time. The workpiece temperature data is compared with the preheating treatment requirements, and the preheating parameters are dynamically adjusted. When the workpiece temperature reaches the preheating temperature and the duration reaches the preheating time, the welding start command is triggered. The preheating treatment requires that the parameters be obtained from a pre-set preheating parameter database according to the material type.

7. The method according to claim 1, characterized in that, The method further includes: After the fusion is completed, collect the surface forming data of the weld. Data on internal defects in welds are obtained using X-ray inspection equipment; The surface forming data and internal defect data of the weld are compared with a preset quality standard, which is determined based on the material type and workpiece usage requirements. A welding quality inspection report is generated based on the comparison results. The inspection report includes the weld appearance quality, internal quality, and overall rating.

8. A steel wire welding control system, characterized in that, The system includes: One or more processors and a memory; the memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the system to perform the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on the system, the system performs the method as described in any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product is run on the system, the system performs the method as described in any one of claims 1-7.

Images