Welding signal processing method and related equipment

Abstract

The invention discloses a welding signal processing method and related equipment which are used for improving the purity of plasma signals during workpiece welding and reducing non-plasma wave band signal interference. The method comprises the following steps: acquiring a welding signal formed during workpiece welding; acquiring an initial plasma wave band signal based on the welding signal; and based on a preset blackbody radiation intensity algorithm, removing actual blackbody radiation information in the initial plasma wave band signal to obtain target plasma information. According to the method and the device, the actual blackbody radiation information in the initial plasma signal is removed through the preset blackbody radiation intensity algorithm, so that the purity of the plasma spectrum is improved, and the interference of a non-plasma wave band signal is reduced.

Description

Technical Field

[0001] This application relates to the field of laser welding technology, and particularly relates to a welding signal processing method and related equipment. Background Art

[0002] Laser welding is used to fuse two metal materials together to form a product. To understand the welding situation and the quality of the welded product, the prior art usually uses an optical device to detect the plasma spectrum formed during welding, and determines the welding quality of the product by analyzing the plasma spectrum. However, the plasma spectrum is doped with interference signals, resulting in poor quality of the plasma spectrum, which in turn affects the judgment of the welding quality. Summary of the Invention

[0003] In view of this, this application provides a welding signal processing method and related equipment, which is beneficial to improving the purity of the plasma spectrum during welding of workpieces and reducing the interference of non-plasma signals.

[0004] In a first aspect, an embodiment of this application provides a welding signal processing method, and the method includes:

[0005] Obtain a welding signal formed during welding of a workpiece;

[0006] Obtain an initial plasma band signal based on the welding signal;

[0007] Based on a preset blackbody radiation intensity algorithm, remove the actual blackbody radiation information in the initial plasma band signal to obtain target plasma information.

[0008] In some possible embodiments, the steps of forming the preset blackbody radiation intensity algorithm include:

[0009] Obtain an experimental welding signal during welding of the workpiece;

[0010] Obtain an experimental plasma band signal based on the experimental welding signal;

[0011] Based on the experimental plasma band signal and a preset iterative algorithm, perform iterative calculations on the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm to determine the target magnification factor and target temperature value after iteration;

[0012] Determine the preset blackbody radiation intensity algorithm based on the target magnification factor and the target temperature value.

[0013] In some possible embodiments, the performing iterative calculations on the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm based on the experimental plasma band signal and a preset iterative algorithm to determine the target magnification factor and target temperature value after iteration includes:

[0014] Based on the experimental plasma band signal, extract the experimental plasma light intensity and the experimental plasma wavelength;

[0015] Based on the experimental plasma light intensity, the experimental plasma wavelength, and the current blackbody radiation intensity algorithm, repeatedly execute the preset iterative algorithm to iteratively obtain a new temperature value and / or a new magnification factor, a new blackbody radiation intensity algorithm, and a light intensity loss difference until the light intensity loss difference is less than a preset value;

[0016] Use the new temperature value corresponding to the light intensity loss difference less than the preset value as the target temperature value, and use the new magnification factor corresponding to the light intensity loss difference less than the preset value as the target magnification factor.

[0017] In some possible embodiments, the preset iterative algorithm includes:

[0018] Based on the experimental plasma wavelength and the current blackbody radiation intensity algorithm, calculate the current blackbody radiation intensity;

[0019] Based on the experimental plasma light intensity and the current blackbody radiation intensity, determine the experimental target plasma intensity;

[0020] Integrate the experimental target plasma intensity to form the current light intensity loss value;

[0021] Based on the current light intensity loss value, the current magnification factor, and the current temperature value, determine a new magnification factor and a new temperature value; or, based on the current light intensity loss value and the current magnification factor, determine a new magnification factor; or, based on the current light intensity loss value and the current temperature value, determine a new temperature value;

[0022] Based on the new magnification factor and / or the new temperature value, update the current blackbody radiation intensity algorithm to obtain a new blackbody radiation intensity algorithm;

[0023] Based on the experimental plasma wavelength and the new blackbody radiation intensity algorithm, calculate the new blackbody radiation intensity;

[0024] Based on the experimental plasma light intensity and all the blackbody radiation intensities, determine the new experimental target plasma intensity, where all the blackbody radiation intensities include the current blackbody radiation intensity and all the new blackbody radiation intensities;

[0025] Integrate the new experimental target plasma intensity to form a new light intensity loss value;

[0026] Determine the light intensity loss difference based on the current light intensity loss value and the new light intensity loss value;

[0027] Judge whether the light intensity loss difference meets a preset value;

[0028] If not, update the current blackbody radiation algorithm with the new blackbody radiation intensity algorithm, update the current temperature value with the new temperature value, and update the current magnification with the new magnification.

[0029] In some possible embodiments, it further includes:

[0030] Obtain the actual temperature value and / or the actual magnification when welding the workpiece;

[0031] Judge whether the actual temperature is equal to the target temperature value, and / or whether the actual magnification is equal to the target magnification;

[0032] If the actual temperature is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, perform iterative calculation on the target temperature value and / or the target magnification in the preset blackbody radiation intensity algorithm based on the initial plasma band signal and the preset iterative algorithm to determine the new target magnification and the new target temperature value after iteration.

[0033] In some possible embodiments, it further includes:

[0034] If the actual temperature value is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, send a prompt signal.

[0035] In some possible embodiments, the blackbody radiation information is the actual blackbody radiation intensity, and the step of removing the blackbody radiation information in the initial plasma band signal based on the preset blackbody radiation intensity algorithm to obtain the target plasma information includes:

[0036] Extract the initial plasma light intensity and the initial plasma wavelength based on the initial plasma band signal;

[0037] Calculate the actual blackbody radiation intensity based on the initial plasma wavelength and the preset blackbody radiation intensity algorithm;

[0038] Determine the target plasma information based on the initial plasma light intensity and the actual blackbody radiation intensity.

[0039] In some possible embodiments, it further includes:

[0040] Based on the experimental plasma light intensity, the experimental plasma wavelength, and the preset blackbody radiation intensity algorithm, obtain the experimental target plasma light intensity;

[0041] Based on the experimental target plasma light intensity, correct the experimental plasma band signal to form an experimental target plasma spectrum.

[0042] In some possible embodiments, it further includes:

[0043] Based on the target plasma information, determine whether it meets the preset standard light intensity range;

[0044] If it meets the requirements, determine that the welding position quality of the workpiece is grade one, the first material, and the welding parameters are normal.

[0045] In a second aspect, an embodiment of the present application provides a welding signal processing device, and the device includes:

[0046] A welding signal acquisition module, configured to acquire a welding signal formed when welding a workpiece;

[0047] An initial plasma acquisition module, configured to acquire an initial plasma band signal based on the welding signal;

[0048] A blackbody removal module, configured to remove the actual blackbody radiation information in the initial plasma band signal based on a preset blackbody radiation intensity algorithm to obtain target plasma information.

[0049] In some possible embodiments, the blackbody removal module is specifically configured to:

[0050] Acquire an experimental welding signal when welding the workpiece;

[0051] Acquire an experimental plasma band signal based on the experimental welding signal;

[0052] Based on the experimental plasma band signal and a preset iterative algorithm, perform iterative calculations on the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm to determine the iterated target magnification factor and target temperature value;

[0053] Determine the preset blackbody radiation intensity algorithm based on the target magnification factor and the target temperature value.

[0054] In some possible embodiments, the blackbody removal module is further configured to:

[0055] Based on the experimental plasma band signal, extract the experimental plasma light intensity and the experimental plasma wavelength;

[0056] Based on the experimental plasma light intensity, the experimental plasma wavelength, and the current blackbody radiation intensity algorithm, the preset iterative algorithm is cyclically executed to iteratively obtain a new temperature value and / or a new magnification factor, a new blackbody radiation intensity algorithm, and a light intensity loss difference until the light intensity loss difference is less than a preset value;

[0057] Use the new temperature value corresponding to the light intensity loss difference less than the preset value as the target temperature value, and use the new magnification factor corresponding to the light intensity loss difference less than the preset value as the target magnification factor.

[0058] In some possible embodiments, the specific operation of the blackbody removal module for executing the preset iterative algorithm is as follows:

[0059] Based on the experimental plasma wavelength and the current blackbody radiation intensity algorithm, calculate the current blackbody radiation intensity;

[0060] Based on the experimental plasma light intensity and the current blackbody radiation intensity, determine the experimental target plasma intensity;

[0061] Integrate the experimental target plasma intensity to form the current light intensity loss value;

[0062] Based on the current light intensity loss value, the current magnification factor, and the current temperature value, determine a new magnification factor and a new temperature value; or, based on the current light intensity loss value and the current magnification factor, determine a new magnification factor; or, based on the current light intensity loss value and the current temperature value, determine a new temperature value;

[0063] Based on the new magnification factor and / or the new temperature value, update the current blackbody radiation intensity algorithm to obtain a new blackbody radiation intensity algorithm;

[0064] Based on the experimental plasma wavelength and the new blackbody radiation intensity algorithm, calculate the new blackbody radiation intensity;

[0065] Based on the experimental plasma light intensity and all the blackbody radiation intensities, determine the new experimental target plasma intensity, where all the blackbody radiation intensities include the current blackbody radiation intensity and all the new blackbody radiation intensities;

[0066] Integrate the new experimental target plasma intensity to form a new light intensity loss value;

[0067] Based on the current light intensity loss value and the new light intensity loss value, determine the light intensity loss difference;

[0068] Judge whether the light intensity loss difference meets the preset value;

[0069] If not, update the current blackbody radiation algorithm using the new blackbody radiation intensity algorithm, update the current temperature value using the new temperature value, and update the current magnification using the new magnification.

[0070] In some possible embodiments, the welding signal acquisition module is further configured to:

[0071] Obtain the actual temperature value and / or actual magnification when welding the workpiece;

[0072] Determine whether the actual temperature is equal to the target temperature value, and / or whether the actual magnification is equal to the target magnification;

[0073] If the actual temperature is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, perform iterative calculations on the target temperature value and / or the target magnification in the preset blackbody radiation intensity algorithm based on the initial plasma band signal and the preset iterative algorithm to determine the new target magnification and the new target temperature value after iteration.

[0074] In some possible embodiments, the welding signal processing device further includes a prompting module, and the prompting module is used for:

[0075] If the actual temperature value is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, send a prompt signal.

[0076] In some possible embodiments, the blackbody removal module is specifically configured to:

[0077] Extract the initial plasma light intensity and initial plasma wavelength based on the initial plasma band signal;

[0078] Calculate the actual blackbody radiation intensity based on the initial plasma wavelength and the preset blackbody radiation intensity algorithm;

[0079] Determine the target plasma information based on the initial plasma light intensity and the actual blackbody radiation intensity.

[0080] In some possible embodiments, the blackbody removal module is used for:

[0081] Obtain the experimental target plasma light intensity based on the experimental plasma light intensity, the experimental plasma wavelength, and the preset blackbody radiation intensity algorithm;

[0082] Correct the experimental plasma band signal based on the experimental target plasma light intensity to form an experimental target plasma spectrum.

[0083] In some possible embodiments, the welding signal processing device further includes a determination module, and the determination module is configured to:

[0084] Based on the target plasma information, determine whether it meets a preset standard light intensity range;

[0085] If it meets the standard, determine that the welding position quality of the workpiece is of the first level, the first material, and the welding parameters are normal.

[0086] In a third aspect, an embodiment of the present application further provides an optical analysis system, including: an optical device and the welding signal processing device described in the second aspect, where:

[0087] The optical device includes:

[0088] A focusing lens, configured to receive and focus the welding mixed light generated when welding the workpiece;

[0089] A slit, configured to perform spatial filtering on the focused welding mixture;

[0090] A reflective grating, configured to perform spatial spectral splitting on the spatially filtered welding mixed light to form welding band mixed light;

[0091] A charge coupled device, configured to process the spatially spectrally split welding band mixed light to form the welding signal, and send the welding signal to the welding signal processing device.

[0092] In a fourth aspect, an embodiment of the present application further provides a welding device, including:

[0093] A laser, configured to weld the workpiece and generate welding mixed light during welding;

[0094] The above optical system, configured to receive the welding mixed light and process it to form the target plasma information.

[0095] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program executable by a computer device. When the program runs on the computer device, it causes the computer device to execute the steps of the method described in any item of the first aspect above, or the steps of the method described in any item of the second aspect above.

[0096] Other features and advantages of the present application will be described in the subsequent description, and part of them will become obvious from the description, or will be understood by implementing the present application. The objectives and other advantages of the present application can be realized and obtained through the structures specifically pointed out in the written description, claims, and drawings. Description of the Drawings

[0097] To more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings required for the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0098] Figure 1 It is a schematic diagram of the overall process of a welding signal processing method provided by an embodiment of the present application;

[0099] Figure 2 It is a schematic diagram of an optical analysis system of a welding signal processing method provided by an embodiment of the present application;

[0100] Figure 3 It is a schematic diagram of an optical device of a welding signal processing method provided by an embodiment of the present application;

[0101] Figure 4 It is a schematic diagram of a visible light spectrum of a welding signal processing method provided by an embodiment of the present application;

[0102] Figure 4a It is a schematic diagram of a corrected target plasma spectrum of a welding signal processing method provided by an embodiment of the present application;

[0103] Figure 5 It is a schematic diagram of the process of removing blackbody radiation information in the initial plasma signal based on a preset blackbody radiation intensity algorithm for a welding signal processing method provided by an embodiment of the present application;

[0104] Figure 6 It is a schematic diagram of the formation process of a preset blackbody radiation intensity algorithm for a welding signal processing method provided by an embodiment of the present application;

[0105] Figure 7 It is a schematic diagram of the process of determining the target magnification and target temperature value after iteration for a welding signal processing method provided by an embodiment of the present application;

[0106] Figure 8 It is a schematic diagram of the process of a preset iteration algorithm for a welding signal processing method provided by an embodiment of the present application;

[0107] Figure 9 It is a schematic diagram of the process of obtaining an experimental target plasma spectrum for a welding signal processing method provided by an embodiment of the present application;

[0108] Figure 10 It is a schematic diagram of the process of improving the accuracy of welding signal processing for a welding signal processing method provided by an embodiment of the present application;

[0109] Figure 11Schematic diagram of an apparatus for a welding signal processing method provided by an embodiment of the present application. Detailed implementation manners

[0110] For a better understanding of the technical solution of the present application, the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0111] It should be clear that the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without making creative efforts belong to the scope of protection of the present application.

[0112] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms of "a", "the" and "said" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0113] It should be understood that the term " / and / " used herein is only a relational expression describing associated objects, indicating that there can be three relationships. For example, a and / or b can represent: a exists alone, a and b exist simultaneously, and b exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0114] The inventors have found through research that in the related art, laser welding is used to bond metals or non-metals. The laser beam emitted from the laser is used to melt the metal or non-metal and fuse them together. When the laser beam is irradiated onto the workpiece, a small hole will be formed, and the welding metal around the small hole will be melted. Subsequently, a metal molten pool is continuously formed along the welding direction of the workpiece for welding treatment.

[0115] For the above-mentioned laser welding, welding quality defects will occur. Therefore, the detection of welding quality is particularly important. In the related art, generally, the welding quality is detected according to the plasma spectrum formed during the welding of the workpiece. However, the plasma spectrum is doped with blackbody radiation signals, resulting in poor quality of the plasma spectrum, which in turn affects the detection of welding quality.

[0116] In view of the above problems, the embodiments of the present application provide a welding signal processing method and related devices to solve the above problems. The inventive concept of the present application can be summarized as follows: obtaining a welding signal formed when welding a workpiece; obtaining an initial plasma band signal based on the welding signal; and removing the actual blackbody radiation information in the initial plasma band signal based on a preset blackbody radiation intensity algorithm to obtain target plasma information. In the present application, the actual blackbody radiation information in the initial plasma band signal is removed by the preset blackbody radiation intensity algorithm, improving the purity of the plasma spectrum and reducing the interference of its non-plasma band signals.

[0117] For ease of understanding, a welding signal processing method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings:

[0118] As Figure 1 shown, it is a schematic diagram of the overall process of a welding signal processing method in the embodiments of the present application; wherein:

[0119] In step 101: Obtain the welding signal formed when welding the workpiece. In the present application, the workpiece can be made of a metal material, and laser welding of the workpiece will generate welding mixed light. The welding mixed light can be obtained and processed by an optical device 202 to form a welding signal, and the target plasma information is obtained through processing by a welding signal processing device 201. Specifically, as Figure 2 shown, the optical analysis system 20 includes: a welding signal processing device 201 and an optical device 202. The structural schematic of the optical device 202 is as Figure 3 shown. The optical device 202 includes a focusing lens 301, a slit 302, a reflection grating 303, and a charge-coupled device 304.

[0120] The focusing lens 301 is used to receive and focus the welding mixed light generated when welding the workpiece; the slit 302 is used for spatial filtering of the focused welding mixed light; the reflection grating 303 is used for spatial dispersion of the spatially filtered welding mixed light to form a welding band mixed light; the charge-coupled device 304 is used to process the spatially dispersed welding band mixed light to form a welding signal and send the welding signal to the welding signal processing device.

[0121] The welding signal may include an initial plasma band signal, and the initial plasma band signal includes a target plasma band signal and at least part of the blackbody radiation signal whose wavelength coincides with that of the target plasma band signal. In another embodiment, the welding signal may further include at least one of the following signals: a laser reflection signal, an infrared light signal, and a blackbody radiation signal that does not coincide with the target plasma band signal. Signals such as the initial plasma band signal, the laser reflection signal, the blackbody radiation signal that does not coincide with the target plasma band signal, and the infrared light signal all include wavelengths and corresponding light intensities.

[0122] The welding signal can be digital information or, for example, visible light spectrum such as Figure 4 After the welding signal processing device 201 receives the welding visible light spectrum sent by the optical device, it converts the welding visible light spectrum into digital information. The processing of the welding signal can be achieved through the digitized welding visible light spectrum. The welding visible light spectrum is, for example, as Figure 4 shown. The wavelength range of the target plasma band signal is 200 nanometers to 1200 nanometers, the wavelength range of the laser reflection signal is 1064 nanometers, the wavelength range of the blackbody radiation signal is the full band, and the wavelength range of the infrared light signal is 1100 nanometers to 2000 nanometers. Among them, the blackbody radiation signal in the range of 200 nanometers to 1200 nanometers coincides with the target plasma band signal to form an initial plasma band signal, that is, the target plasma band signal will be doped with the blackbody radiation signal.

[0123] In other embodiments, the wavelength range of the target plasma band signal can also be 350 nanometers to 750 nanometers. Among them, the 350-nanometer to 750-nanometer band signal in the full-band blackbody radiation signal coincides with the target plasma band signal to form an initial plasma band signal. Step 1012: Obtain the initial plasma band signal based on the welding signal.

[0124] Specifically, since the target plasma band signal is doped with the blackbody radiation signal, which affects the subsequent analysis and determination of the welding parameter quality, welding shape quality, workpiece composition, etc. of the workpiece using the plasma band, only the initial plasma band signal is extracted for step 102 processing. Of course, since the wavelength range of the blackbody radiation signal is the full band, in other embodiments, all the signals in the welding signal can also be used with a preset blackbody radiation intensity algorithm to remove all the blackbody radiation information.

[0125] In step 102: Based on the preset blackbody radiation intensity algorithm, remove the actual blackbody radiation information in the initial plasma band signal to obtain the target plasma information.

[0126] In step 103: Based on the target plasma information, correct the initial plasma spectrum to form the target plasma spectrum.

[0127] The target plasma information is the target plasma signal, including the light intensity corresponding to the target plasma wavelength (i.e., the wavelength of the initial plasma band signal). The target plasma information can be digital information or can be processed to form a spectrum such as Figure 4a The initial plasma spectrum is, optionally, the marked part of the initial plasma band signal in Figure 4 After modification, the formed target plasma spectrum is as Figure 4aThe marked part of the target plasma signal, that is, the interference of blackbody radiation within 350 nm - 1000 nm is removed. At this time, the target plasma spectrum formed after modification can be sent to the transmission terminal so that the user can observe the light intensity of the target plasma from the target plasma spectrum, and the light intensity of the plasma spectrum formed by welding with existing metal materials can be analyzed to judge the uniformity of the workpiece welded by laser, the possibility of containing impurities, etc.

[0128] Of course, for the convenience of observing the welding signal situation of the whole workpiece, the initial plasma spectrum in the welding visible light spectrum can also be corrected based on the target plasma information to form a target welding spectrum containing other signals as shown in Figure 4a shown.

[0129] In some possible embodiments, the blackbody radiation information in the initial plasma signal is removed based on a preset blackbody radiation intensity algorithm to obtain target plasma information, which can be specifically implemented as the steps shown in Figure 5 where:

[0130] In step 501: Based on the initial plasma band signal, the initial plasma light intensity and the initial plasma wavelength are extracted.

[0131] In the present application, the welding signal may include the wavelength, light intensity, timestamp of signal acquisition corresponding to each signal. Optionally, the initial plasma band signal includes the initial plasma wavelength, the initial plasma light intensity and the corresponding timestamp, etc., the laser reflection signal includes the laser reflection wavelength, the laser reflection light intensity and the corresponding timestamp, and the infrared light signal includes the infrared light wavelength, the infrared light intensity and the corresponding timestamp.

[0132] In step 502: Based on the initial plasma wavelength and the preset blackbody radiation intensity algorithm, the actual blackbody radiation intensity is calculated.

[0133] In step 503: Based on the initial plasma light intensity and the actual blackbody radiation intensity, the target plasma information is determined.

[0134] In the present application, after obtaining the actual blackbody radiation intensity, the target plasma light intensity obtained by subtracting the actual blackbody radiation intensity from the initial plasma light intensity, and the target plasma light intensity corresponding to the initial plasma wavelength is the target plasma information, and the target plasma information is used to form the target plasma spectrum.

[0135] To facilitate understanding of how to specifically obtain the actual blackbody radiation intensity according to the preset blackbody radiation intensity algorithm, the formation process of the preset blackbody radiation intensity algorithm provided in the embodiments of the present application will be described in detail as shown in Figure 6 shown:

[0136] In step 600: The experimental welding signal when welding the workpiece is obtained.

[0137] The specific implementation method of this step is the same as that of step 101, and will not be elaborated here.

[0138] In step 601: Obtain the experimental plasma band signal based on the experimental welding signal.

[0139] The specific implementation method of this step is the same as that of step 102, and will not be elaborated here.

[0140] In step 602: Based on the experimental plasma band signal and the preset iterative algorithm, perform iterative calculations on the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm to determine the target magnification factor and target temperature value after iteration.

[0141] In this application, the current magnification factor can be preset by a technician according to the magnification factor commonly used during workpiece welding, and the current temperature value can also be preset by a technician according to the temperature commonly used during workpiece welding. For example, if it is determined that the temperature commonly used when welding a workpiece is between 20 degrees Celsius and 30 degrees Celsius, the current temperature value can be set to 25 degrees Celsius.

[0142] In some possible embodiments, based on the experimental plasma band signal and the preset iterative algorithm, perform iterative calculations on the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm to determine the target magnification factor and target temperature value after iteration. Specifically, it can be implemented as Figure 7 the steps shown below, where:

[0143] In step 701: Based on the experimental plasma band signal, extract the experimental plasma light intensity and the experimental plasma wavelength.

[0144] The specific implementation method of this step is the same as that of step 501, and will not be elaborated here.

[0145] Furthermore, in this application, the experimental plasma light intensity obtained based on the experimental plasma band signal is denoted as G(λ), where λ is the experimental plasma wavelength.

[0146] In step 702: Based on the experimental plasma light intensity, the experimental plasma wavelength, and the current blackbody radiation intensity algorithm, repeatedly execute the preset iterative algorithm to iteratively obtain a new temperature value and / or a new magnification factor, a new blackbody radiation intensity algorithm, and a light intensity loss difference until the light intensity loss difference is less than the preset value.

[0147] In some possible embodiments, the preset iterative algorithm can be specifically implemented as Figure 8 the steps shown below, where:

[0148] In step 801: Calculate the current blackbody radiation intensity based on the experimental plasma wavelength and the current blackbody radiation intensity algorithm.

[0149] In this application, the blackbody radiation intensity algorithm is as follows:

[0150] F(λ,a,T)=(ac1) / (λ 5 exp(c2 / λT)-1);

[0151] where c1 = 2πhc×10 30 , c2 = hc×10 6 / k;

[0152] where: F(λ,a,T) is the blackbody radiation intensity, λ is the experimental plasma wavelength, a is the magnification factor, T is the temperature value, c is the speed of light, k is the Boltzmann constant, and h is the Planck constant. Initially, a and T are values set by the user and can be 0 or other values.

[0153] In this application, based on the blackbody radiation intensity algorithm, the current blackbody intensity algorithm is as shown in Equation 1:

[0154] F0(λ,a0,T0)=(a0c1) / (λ 5 exp(c2 / λT0)-1); (Equation 1)

[0155] where c1 = 2πhc×10 30 , c2 = hc×10 6 / k;

[0156] where: F0(λ,a0,T0) is the blackbody radiation intensity, λ is the experimental plasma wavelength, a0 is the current magnification factor, T0 is the current temperature value, c is the speed of light, k is the Boltzmann constant, and h is the Planck constant. Initially, a0 and T0 are values set by the user or can be values obtained through a preset iterative algorithm.

[0157] Substituting the current magnification factor a0 and the current temperature value T0 into Equation 1, the current blackbody radiation intensity can be obtained as: F0(λ,a0,T0).

[0158] In step 802: Based on the experimental plasma light intensity and the current blackbody radiation intensity, determine the experimental target plasma intensity.

[0159] In this application, the experimental plasma light intensity is obtained based on the experimental plasma band signal, denoted as G(λ). Since the required plasma band signal range is 350 nm - 750 nm or 200 nm - 1200 nm, and the wavelength range of the blackbody radiation signal is the entire band, there is a blackbody radiation signal in G(λ) at this time, that is, G(λ) includes both the experimental plasma light intensity and the blackbody radiation intensity; since the current blackbody radiation intensity is F0(λ,a0,T0), the experimental target plasma intensity can be obtained as G0(λ) = G(λ) - F0(λ,a0,T0).

[0160] In step 803: Integrate the experimental target plasma intensity to form the current light intensity loss value.

[0161] In this application, an integration formula can be used to integrate the experimental target plasma intensity, and the integration formula is shown in Formula 2:

[0162]

[0163] Where: Loss0 is the current light intensity loss value, and G0(λ) is the experimental target plasma intensity.

[0164] In step 804: Determine a new magnification factor and a new temperature value based on the current light intensity loss value, the current magnification factor, and the current temperature value; or, determine a new magnification factor based on the current light intensity loss value and the current magnification factor; or, determine a new temperature value based on the current light intensity loss value and the current temperature value.

[0165] In this application, in order to make a welding signal processing method provided by this application more universal, multiple implementation methods are set for step 804, that is, in this application, only the magnification factor can be updated, or only the temperature value can be updated, or both the magnification factor and the temperature value can be updated at the same time. If higher accuracy requirements for welding signal processing are required, then both the magnification factor and the temperature value can be updated at the same time. If higher efficiency requirements for the welding signal processing method are required, then only the temperature value or the magnification factor can be updated.

[0166] In this application, the magnification factor and the temperature value are corrected by differentiating the light intensity loss value, and the differential formula of the light intensity loss value is as follows:

[0167]

[0168]

[0169] Where a is the magnification factor, T is the current temperature value, Loss is the light intensity loss value, Δ is a preset correction step, n is a positive integer, and when n = 1, a0 and T0 can be initial values set by the user.

[0170] It can be seen from this that a magnification factor update formula can be used to determine the new magnification factor, and the magnification factor update formula is shown below:

[0171]

[0172] Where a1 is the new magnification factor, a0 is the current magnification factor, and Loss0 is the current light intensity loss value.

[0173] In this application, a temperature update formula can be used to determine a new temperature value. The temperature update formula is as follows, where:

[0174]

[0175] where T1 is the new temperature value and T0 is the current temperature value. is the current light intensity loss value.

[0176] From Formula 3 and Formula 4, a new magnification and a new temperature value can be obtained.

[0177] In step 805: Based on the new magnification and / or the new temperature value, update the current blackbody radiation intensity algorithm to obtain a new blackbody radiation intensity algorithm.

[0178] If both the magnification and the temperature value are updated, substitute the new magnification a1 and the new temperature value T1 into Formula 1 to obtain a new blackbody radiation intensity algorithm, as shown in Formula 5:

[0179] F1(λ, a1, T1) = (a1 c1) / (λ 5 exp(c2 / λT1) - 1); (Formula 5)

[0180] where: F(λ, a1, T1) is the new blackbody radiation intensity, λ is the experimental plasma wavelength, a1 is the new magnification, T1 is the new temperature value, c is the speed of light, k is the Boltzmann constant, and h is the Planck constant.

[0181] If only the magnification is updated, substitute the new magnification a1 into Formula 1 to obtain a new blackbody radiation intensity algorithm, as shown in Formula 6:

[0182] F1(λ, a1, T0) = (a1 c1) / (λ 5 exp(c2 / λT0) - 1); (Formula 6)

[0183] where: F1(λ, a1, T0) is the new blackbody radiation intensity, λ is the experimental plasma wavelength, a1 is the new magnification, T0 is the current temperature value, c is the speed of light, k is the Boltzmann constant, and h is the Planck constant.

[0184] If only the temperature value is updated, substitute the new temperature value T1 into Formula 1 to obtain a new blackbody radiation intensity algorithm, as shown in Formula 7:

[0185] F1(λ, a0, T1) = (a0 c1) / (λ 5 exp(c2 / λT1) - 1); (Formula 7)

[0186] Wherein: F1(λ, a0, T1) is the new blackbody radiation intensity, λ is the experimental plasma wavelength, a0 is the current magnification, T1 is the new temperature value, c is the speed of light, k is the Boltzmann constant, and h is the Planck constant.

[0187] In step 806: Based on the experimental plasma wavelength and the new blackbody radiation intensity algorithm, calculate the new blackbody radiation intensity.

[0188] The corresponding new blackbody radiation intensity under different update conditions can be obtained through Formula 5, Formula 6, and Formula 7. Denote the new blackbody radiation intensity as F1. When both the magnification and the temperature value are updated, F1 is F1(λ, a1, T1); when only the magnification is updated, F1 is F1(λ, a1, T0); when only the temperature value is updated, F1 is F1(λ, a0, T1).

[0189] In step 807: Based on the experimental plasma light intensity and all the blackbody radiation intensities, determine the new experimental target plasma intensity. All the blackbody radiation intensities include the current blackbody radiation intensity and all the new blackbody radiation intensities.

[0190] In this application, all the blackbody radiation intensities can be calculated using Formula 8:

[0191]

[0192] That is,

[0193] where F Z is all the blackbody radiation intensities, F i is the i-th new blackbody radiation intensity obtained, N is the total number of new blackbody radiation intensities, and F0 is the current blackbody radiation intensity.

[0194] The new experimental target plasma intensity is then:

[0195] where G N (λ) is the new experimental target plasma intensity, G(λ) is the experimental plasma light intensity, is all the blackbody radiation intensities.

[0196] In step 808: Integrate the new experimental target plasma intensity to form a new light intensity loss value.

[0197] Substitute the new experimental target plasma intensity into Formula 2 to obtain the new light intensity loss as:

[0198] In step 809: Based on the current light intensity loss value and the new light intensity loss value, determine the light intensity loss difference.

[0199] In the present application, the difference between the current light intensity loss value and the new light intensity loss value can be used as the light intensity loss difference, that is, the light intensity loss difference is Loss N -Loss N-1 .

[0200] In step 810: Determine whether the light intensity loss difference meets a preset value.

[0201] In the present application, the preset value can be set in advance by those skilled in the art according to requirements. The preset value is inversely proportional to the accuracy of the welding signal processing method, that is, the smaller the preset value, the higher the accuracy of the welding signal processing method. Therefore, the specific value of the preset value can be set according to the requirements for the accuracy of the welding signal processing method.

[0202] In step 811: If the light intensity loss difference does not meet the preset value, update the current blackbody radiation intensity algorithm with the new blackbody radiation intensity algorithm, update the current temperature value with the new temperature value, and update the current magnification with the new magnification.

[0203] To facilitate further understanding of the preset iterative algorithm in the present application, the following is an example: When the preset iterative algorithm is executed for the first time, the experimental plasma wavelength is G(λ), the current magnification is a0, the current temperature value is T0, the blackbody radiation intensity obtained is F0(λ, a0, T0), the obtained experimental target plasma intensity is G0(λ) = G(λ) - F0(λ, a0, T0), the current light intensity loss value is Loss0, the new magnification is a1, the new temperature value is T1, the new blackbody radiation intensity is F1(λ, a1, T1), and the new experimental target plasma intensity is G1(λ) = G(λ) - F0(λ, a0, T0) - F1(λ, a1, T1), and the new light intensity loss is The light intensity loss difference is Loss1 - Loss0; if it is determined that Loss1 - Loss0 does not meet the preset value, the preset iterative algorithm needs to be executed for the second time:

[0204] At this time: The experimental plasma wavelength is G(λ), the current magnification is a1, the current temperature value is T1, the blackbody radiation intensity obtained is F1(λ, a1, T1), the obtained experimental target plasma intensity is G1(λ) = G(λ) - F0(λ, a0, T0) - F1(λ, a1, T1), the current light intensity loss value is Loss1, and according to formula 3, the new magnification is According to formula 4, the new temperature value is The new blackbody radiation intensity is F2(λ, a2, T2), and the new experimental target plasma intensity is G2(λ) = G(λ) - F0(λ, a0, T0) - F1(λ, a1, T1) - F2(λ, a2, T2). The new light intensity loss is The difference in light intensity loss is Loss2 - Loss1. If it is determined that Loss2 - Loss1 does not meet the preset value, the preset iterative algorithm needs to be executed for the third time. At this time: the experimental plasma wavelength is G(λ), the current magnification is a2, the current temperature value is T2, the blackbody radiation intensity obtained is F2(λ, a2, T2), the obtained experimental target plasma intensity is G2(λ) = G(λ) - F0(λ, a0, T0) - F1(λ, a1, T1) - F2(λ, a2, T2), and the current light intensity loss value is Loss2. According to Equation 3, the new magnification is According to Equation 4, the new temperature value is The new blackbody radiation intensity is F3(λ, a3, T3), and the new experimental target plasma intensity is G3(λ) = G(λ) - F0(λ, a0, T0) - T1(λ, a1, T1) - F2(λ, a2, T2) - F3(λ, a3, T3). The new light intensity loss is The difference in light intensity loss is Loss3 - Loss2. If it is determined at this time that Loss3 - Loss2 meets the preset value, the iteration ends, and the final experimental target plasma intensity is G3(λ) = G(λ) - F0(λ, a0, T0) - F1(λ, a1, T1) - F2(λ, a2, T2) - F3(λ, a3, T3).

[0205] In step 703: The new temperature value corresponding to the light intensity loss difference less than the preset value is used as the target temperature value, and the new magnification corresponding to the light intensity loss difference less than the preset value is used as the target magnification.

[0206] That is, in this application, the preset iterative algorithm is continuously executed until the light intensity loss difference meets the preset value before stopping the iterative calculation. The new temperature value obtained from the last execution of the preset iterative algorithm is used as the target temperature value, and the new magnification obtained from the last execution of the preset iterative algorithm is used as the target magnification.

[0207] For example, when the preset iterative algorithm is executed for the first time, the current temperature value is T0, the new magnification is a1, and the new temperature value is T1; when the preset iterative algorithm is executed for the second time, the current magnification is a1, the current temperature value is T1, the new magnification is a2, and the new temperature value is T2; when the preset iterative algorithm is executed for the third time, the current magnification is a2, the current temperature value is T2, the new magnification is a3, and the new temperature value is T3. At this time, the difference in light intensity loss is Loss3 - Loss2. If it is determined that Loss3 - Loss2 meets the preset value, then a3 is used as the target magnification and T3 is used as the target temperature value.

[0208] In step 704: Determine the preset blackbody radiation intensity algorithm based on the target magnification and the target temperature value.

[0209] In this application, after obtaining the target magnification and the target temperature value, substituting the target magnification and the target temperature value into Formula 1 can obtain the preset blackbody radiation intensity algorithm.

[0210] For example: If a3 is the target magnification and T3 is the target temperature value, then the preset blackbody radiation intensity algorithm is as shown in Formula 9:

[0211] F3(λ, a3, T3) = (a3 c1) / (λ 5 exp(c2 / λT3) - 1); (Formula 9)

[0212] Among them, c1 = 2πhc × 10 30 , c2 = hc × 10 6 / k;

[0213] Among them: F3(λ, a3, T3) is the blackbody radiation intensity, λ is the experimental plasma wavelength, a3 is the target magnification, T3 is the target temperature value, c is the speed of light, k is the Boltzmann constant, and h is the Planck constant.

[0214] In some possible embodiments, after obtaining the preset blackbody radiation intensity algorithm, the steps as shown in Figure 9 can be implemented to obtain the experimental target plasma spectrum:

[0215] In step 901: Based on the experimental plasma light intensity, the experimental plasma wavelength, and the preset blackbody radiation intensity algorithm, obtain the experimental target plasma light intensity.

[0216] For example: If the preset blackbody radiation intensity algorithm is as shown in Formula 9, the blackbody radiation intensity obtained based on Formula 9 is F3(λ, a3, T3), the initial plasma light intensity is G(λ), and λ is the experimental plasma wavelength, then the experimental target plasma light intensity can be calculated, specifically G(λ) - F3(λ, a3, T3).

[0217] In step 902: Based on the experimental target plasma light intensity, correct the experimental plasma band signal to form the experimental target plasma spectrum.

[0218] In this application, after obtaining the experimental target plasma light intensity, the experimental plasma band signal can be corrected based on the experimental target plasma light intensity, and then the experimental target plasma spectrum can be obtained.

[0219] In this application, in order to further ensure the accuracy of welding signal processing, before implementing the Figure 1 shown steps, first implement the Figure 10 shown steps to improve the accuracy of welding signal processing, where:

[0220] In step 1001: Obtain the actual temperature value and / or actual magnification when welding the workpiece.

[0221] In step 1002: Determine whether the actual temperature is equal to the target temperature value, and / or whether the actual magnification is equal to the target magnification. If the actual temperature is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, then enter step 1003; otherwise, enter step 101.

[0222] In step 1003: Based on the initial plasma band signal and a preset iterative algorithm, perform iterative calculations on the target temperature value and / or target magnification in the preset blackbody radiation intensity algorithm to determine the new target magnification and new target temperature value after iteration.

[0223] Although the target temperature value in this application is obtained by technicians through training based on the temperature during normal welding of workpieces, there may be a situation where the gap between the actual temperature value and the target temperature value is too large. Using the target temperature value in this case will result in inaccurate target plasma information. Therefore, the above preset iterative algorithm can be performed again on the actual temperature for iterative training to obtain a new target temperature value; similarly, although the target magnification in this application is obtained by technicians through training based on the magnification applied during normal welding of workpieces, there may be a situation where the gap between the actual magnification and the target magnification is too large. Using the target magnification in this case will result in inaccurate target plasma information. Therefore, the above preset iterative algorithm can be performed again on the actual magnification for iterative training to obtain a new target magnification.

[0224] In some other possible embodiments, to ensure the real-time performance of a welding signal processing method provided in this application, a prompt signal is sent when the actual temperature value is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification. The prompt signal is used to prompt the technician that the target temperature value and / or the target magnification need to be updated at this time, so that the technician can promptly initiate the update operation for the target temperature value and / or the target magnification.

[0225] In the embodiments of this application, after obtaining the target plasma information, the welding quality of the workpiece can be judged based on the target plasma information. Specifically, it can be implemented as follows: Based on the target plasma information, it is judged whether it meets the preset standard light intensity range; if it meets, it is determined that at least one of the welding quality of the workpiece is first grade, the first material, and the welding parameters are normal; if it does not meet, it is determined that at least one of the welding position quality of the workpiece is second grade, the second material, and the welding parameters are abnormal.

[0226] For example: The first material can be titanium alloy, and the second material can be aluminum alloy / ferroalloy. Through the method in this application, the material of the welded workpiece, the quality of the workpiece welding position, and the welding parameters can be detected and judged, improving the breadth, intelligence, and detection efficiency of the detection.

[0227] Based on the same inventive concept, the embodiments of this application also provide a welding signal processing device 1100. In this application, the welding signal processing device 1100 can be the industrial control computer of a spectrometer, the industrial control computer of a welding device, or a server. This application does not make any limitations in this regard. The internal modules of the welding signal processing device 1100 will be described below. For example Figure 11 As shown, the welding signal processing device 1100 includes:

[0228] A welding signal acquisition module 11001, which is used to acquire the welding signal formed when welding the workpiece;

[0229] An initial plasma acquisition module 11002, which is used to acquire an initial plasma band signal based on the welding signal;

[0230] A blackbody removal module 11003, which is used to remove the actual blackbody radiation information in the initial plasma band signal based on a preset blackbody radiation intensity algorithm to obtain the target plasma information.

[0231] In some possible embodiments, the blackbody removal module 11003 is specifically used for:

[0232] Acquire the experimental welding signal when welding the workpiece;

[0233] Acquire an experimental plasma band signal based on the experimental welding signal;

[0234] Perform iterative calculations on the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm based on the experimental plasma band signal and a preset iterative algorithm to determine the target magnification factor and the target temperature value after iteration;

[0235] Determine the preset blackbody radiation intensity algorithm based on the target magnification factor and the target temperature value.

[0236] In some possible embodiments, the blackbody removal module 11003 is further specifically configured to:

[0237] Extract the experimental plasma light intensity and the experimental plasma wavelength based on the experimental plasma band signal;

[0238] Based on the experimental plasma light intensity, the experimental plasma wavelength, and the current blackbody radiation intensity algorithm, repeatedly execute the preset iterative algorithm to iteratively obtain a new temperature value and / or a new magnification factor, a new blackbody radiation intensity algorithm, and a light intensity loss difference until the light intensity loss difference obtained is less than a preset value;

[0239] Use the new temperature value corresponding to the light intensity loss difference less than the preset value as the target temperature value, and use the new magnification factor corresponding to the light intensity loss difference less than the preset value as the target magnification factor.

[0240] In some possible embodiments, the blackbody removal module 11003 executes the preset iterative algorithm specifically as follows:

[0241] Calculate the current blackbody radiation intensity based on the experimental plasma wavelength and the current blackbody radiation intensity algorithm;

[0242] Determine the experimental target plasma intensity based on the experimental plasma light intensity and the current blackbody radiation intensity;

[0243] Integrate the experimental target plasma intensity to form the current light intensity loss value;

[0244] Based on the current light intensity loss value, the current magnification factor, and the current temperature value, determine a new magnification factor and a new temperature value; or, based on the current light intensity loss value and the current magnification factor, determine a new magnification factor; or, based on the current light intensity loss value and the current temperature value, determine a new temperature value;

[0245] Update the current blackbody radiation intensity algorithm based on the new magnification factor and / or the new temperature value to obtain a new blackbody radiation intensity algorithm;

[0246] Calculate the new blackbody radiation intensity based on the experimental plasma wavelength and the new blackbody radiation intensity algorithm;

[0247] Determine the new experimental target plasma intensity based on the experimental plasma light intensity and all the blackbody radiation intensities, where all the blackbody radiation intensities include the current blackbody radiation intensity and all the new blackbody radiation intensities;

[0248] Integrate the new experimental target plasma intensity to form a new light intensity loss value;

[0249] Determine the light intensity loss difference based on the current light intensity loss value and the new light intensity loss value;

[0250] Judge whether the light intensity loss difference meets the preset value;

[0251] If not, update the current blackbody radiation algorithm with the new blackbody radiation intensity algorithm, update the current temperature value with the new temperature value, and update the current magnification with the new magnification.

[0252] In some possible embodiments, the welding signal acquisition module 11001 is further configured to:

[0253] Obtain the actual temperature value and / or the actual magnification when welding the workpiece;

[0254] Judge whether the actual temperature is equal to the target temperature value, and / or whether the actual magnification is equal to the target magnification;

[0255] If the actual temperature is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, perform iterative calculation on the target temperature value and / or the target magnification in the preset blackbody radiation intensity algorithm based on the initial plasma band signal and the preset iterative algorithm to determine the new target magnification and the new target temperature value after iteration.

[0256] In some possible embodiments, the welding signal processing device further includes a prompting module 11004, and the prompting module 11004 is configured to:

[0257] If the actual temperature value is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, send a prompting signal.

[0258] In some possible embodiments, the blackbody removal module 11003 is specifically configured to:

[0259] Extract the initial plasma light intensity and the initial plasma wavelength based on the initial plasma band signal;

[0260] Calculate the actual blackbody radiation intensity based on the initial plasma wavelength and the preset blackbody radiation intensity algorithm;

[0261] Determine the target plasma information based on the initial plasma light intensity and the actual blackbody radiation intensity.

[0262] In some possible embodiments, the blackbody removal module 11003 is specifically configured to:

[0263] Obtain the experimental target plasma light intensity based on the experimental plasma light intensity, the experimental plasma wavelength, and the preset blackbody radiation intensity algorithm;

[0264] Correct the experimental plasma band signal based on the experimental target plasma light intensity to form an experimental target plasma spectrum.

[0265] In some possible embodiments, the welding signal processing device 1100 further includes a determination module 11005, and the determination module 11005 is configured to:

[0266] Judge whether it meets the preset standard light intensity range based on the target plasma information;

[0267] If it meets the requirements, determine that the welding position quality of the workpiece is first grade, the first material, and the welding parameters are normal.

[0268] Based on the same inventive concept, the embodiments of the present application further provide a welding device, and the welding device includes a laser and the above optical analysis system:

[0269] The laser is used to emit a laser signal to the workpiece for welding the workpiece, and generate welding mixed light during welding;

[0270] The optical analysis system is used to receive the welding mixed light and process it to form target plasma information.

[0271] In specific implementation, the present invention further provides a computer storage medium. The computer storage medium can store a program, and when the program runs, it can include some or all of the steps in the embodiments of the welding signal processing method provided by the present invention. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0272] Those skilled in the art can clearly understand that the technologies in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solutions in the embodiments of the present invention, in essence, or the parts that contribute to the prior art can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present invention.

[0273] For the same or similar parts among the various embodiments in this specification, reference can be made to each other. In particular, for the device embodiments and the terminal embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the descriptions in the method embodiments.

Claims

1. A welding signal processing method, characterized in that, The method includes: Obtaining a welding signal formed when welding a workpiece; Obtaining an initial plasma band signal based on the welding signal; Removing the actual blackbody radiation information in the initial plasma band signal based on a preset blackbody radiation intensity algorithm to obtain target plasma information.

2. The method according to claim 1, wherein The steps of forming the preset blackbody radiation intensity algorithm include: Obtaining an experimental welding signal when welding the workpiece; Obtaining an experimental plasma band signal based on the experimental welding signal; Iteratively calculating the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm based on the experimental plasma band signal and a preset iterative algorithm to determine the target magnification factor and target temperature value after iteration; Determining the preset blackbody radiation intensity algorithm based on the target magnification factor and the target temperature value.

3. The method according to claim 2, wherein The iteratively calculating the current magnification factor and / or the current temperature value in the current blackbody radiation intensity algorithm based on the experimental plasma band signal and a preset iterative algorithm to determine the target magnification factor and target temperature value after iteration includes: Extracting the experimental plasma light intensity and the experimental plasma wavelength based on the experimental plasma band signal; Based on the experimental plasma light intensity, the experimental plasma wavelength, and the current blackbody radiation intensity algorithm, cyclically executing the preset iterative algorithm to iteratively obtain a new temperature value and / or a new magnification factor, a new blackbody radiation intensity algorithm, and a light intensity loss difference until the light intensity loss difference is less than a preset value; Taking the new temperature value corresponding to the light intensity loss difference less than the preset value as the target temperature value, and taking the new magnification factor corresponding to the light intensity loss difference less than the preset value as the target magnification factor.

4. The method according to claim 3, characterized in that, The preset iterative algorithm includes: Calculating the current blackbody radiation intensity based on the experimental plasma wavelength and the current blackbody radiation intensity algorithm; Determining the experimental target plasma intensity based on the experimental plasma light intensity and the current blackbody radiation intensity; Integrating the experimental target plasma intensity to form the current light intensity loss value; Determining a new magnification factor and a new temperature value based on the current light intensity loss value, the current magnification factor, and the current temperature value; or determining a new magnification factor based on the current light intensity loss value and the current magnification factor; or determining a new temperature value based on the current light intensity loss value and the current temperature value; Updating the current blackbody radiation intensity algorithm based on the new magnification factor and / or the new temperature value to obtain a new blackbody radiation intensity algorithm; Calculating a new blackbody radiation intensity based on the experimental plasma wavelength and the new blackbody radiation intensity algorithm; Determining a new experimental target plasma intensity based on the experimental plasma light intensity and all the blackbody radiation intensities, where all the blackbody radiation intensities include the current blackbody radiation intensity and all the new blackbody radiation intensities; Integrating the new experimental target plasma intensity to form a new light intensity loss value; Determine the light intensity loss difference based on the current light intensity loss value and the new light intensity loss value; Judge whether the light intensity loss difference meets a preset value; If not, update the current blackbody radiation algorithm with the new blackbody radiation intensity algorithm, update the current temperature value with the new temperature value, and update the current magnification with the new magnification.

5. The method according to claim 1, characterized in that, Further include: Obtain the actual temperature value and / or actual magnification during welding of the workpiece; Judge whether the actual temperature is equal to the target temperature value, and / or whether the actual magnification is equal to the target magnification; If the actual temperature is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, perform iterative calculation on the target temperature value and / or the target magnification in the preset blackbody radiation intensity algorithm based on the initial plasma band signal and the preset iterative algorithm to determine the new target magnification and new target temperature value after iteration.

6. The method according to claim 5, wherein Further include: If the actual temperature value is not equal to the target temperature value, and / or the actual magnification is not equal to the target magnification, send a prompt signal.

7. The method according to claim 1, characterized in that The blackbody radiation information is the actual blackbody radiation intensity. The step of removing the blackbody radiation information in the initial plasma band signal based on the preset blackbody radiation intensity algorithm to obtain the target plasma information includes: Based on the initial plasma band signal, extract the initial plasma light intensity and initial plasma wavelength; Based on the initial plasma wavelength and the preset blackbody radiation intensity algorithm, calculate the actual blackbody radiation intensity; Based on the initial plasma light intensity and the actual blackbody radiation intensity, determine the target plasma information.

8. The method according to claim 4, wherein Further include: Based on the experimental plasma light intensity, the experimental plasma wavelength, and the preset blackbody radiation intensity algorithm, obtain the experimental target plasma light intensity; Correct the experimental plasma band signal based on the experimental target plasma light intensity to form an experimental target plasma spectrum.

9. The method according to claim 1, wherein Further include: Based on the target plasma information, judge whether it meets the preset standard light intensity range; If it meets, determine that the welding position quality of the workpiece is first grade, the first material, and the welding parameters are normal.

10. A welding signal processing device, characterized in that, The device includes: A welding signal acquisition module for acquiring the welding signal formed during welding of the workpiece; An initial plasma acquisition module for acquiring an initial plasma band signal based on the welding signal; A blackbody removal module for removing the actual blackbody radiation information in the initial plasma band signal based on the preset blackbody radiation intensity algorithm to obtain the target plasma information.

11. An optical analysis system, characterized in that, Include: An optical device and the welding signal processing device according to claim 10, wherein: The optical device includes: A focusing lens for receiving and focusing the welding mixed light generated during welding of the workpiece; A slit for spatially filtering the focused welding mixture; A reflective grating for spatially splitting the spatially filtered welding mixed light to form a welding band mixed light; A charge-coupled device is used to process the mixed light in the welding band after spatial spectral splitting to form the welding signal, and send the welding signal to the welding signal processing device.

12. A welding device, characterized in that, It includes: A laser for welding the workpiece and generating welding mixed light during welding; The optical analysis system of claim 11 for receiving the welding mixed light and processing it to form the target plasma information.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein when the program runs, it controls the device where the computer-readable storage medium is located to execute the welding signal processing method according to any one of claims 1-9.

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