Prospective control method and system for wave soldering

Abstract

The invention relates to the technical field of welding control, and provides a look-ahead control method and system for wave soldering. The method comprises the following steps: acquiring a soldering signal set of wave soldering equipment; analyzing the soldering tin signal set, and identifying a to-be-captured signal reaching a first preset wave crest signal; capturing the to-be-captured signal, inputting the signal into a Raman amplifier, amplifying and modulating the to-be-captured signal according to the Raman amplifier, and outputting an amplified wave crest signal; predicting the amplified wave crest signal to obtain an amplified compensation signal; performing reduction modulation on the amplification compensation signal according to an amplification parameter of the Raman amplifier, and outputting a reduction compensation signal; and controlling the wave soldering equipment to perform signal compensation according to the reduction compensation signal. The technical problem that the welding effect is unstable due to the fact that the welding signals are difficult to accurately predict and control in the wave soldering process is solved, and the effects that the welding signals are recognized and compensated in advance through look-ahead control, and the prediction accuracy and control precision of the welding wave crest signals are improved are achieved.

Description

Technical Field

[0001] The present application relates to the field of welding technology, specifically to the field of welding control technology, and in particular to a forward-looking control method and system for wave soldering. Background Art

[0002] In the rapid development of the electronics manufacturing industry, wave soldering technology is the core link of printed circuit board assembly (PCBA) welding, and its stability and accuracy are crucial to product quality. During the wave soldering process, multiple key factors need to be strictly controlled, such as solder fluidity, PCBA board preheating temperature, flux activation state, and wave crest height, to ensure the best welding effect. However, the traditional wave soldering control mode cannot accurately adapt to subtle changes in the production process when facing challenges such as expansion of production scale, product diversification, and increased process complexity, resulting in unstable welding quality. Specifically, if the preheating temperature of the solder is not properly controlled, it will lead to uneven solder fluidity or insufficient PCBA board temperature, affecting the welding quality; if the temperature of the PCBA board does not reach the ideal state, the flux cannot be fully activated, thus affecting the welding effect; and if the wave crest height is too high, it may lead to excessive solder, increasing the risk of short circuit, and if the wave crest height is too low, it may not be able to fully cover the solder joints, resulting in poor welding, and it is difficult to meet the needs of high-quality welding. Summary of the invention

[0003] The present application provides a forward-looking control method and system for wave soldering, aiming to solve the technical problem that the welding signal is difficult to accurately predict and control during the wave soldering process, resulting in unstable welding effect.

[0004] In view of the above problems, the present application provides a forward-looking control method and system for wave soldering.

[0005] The first aspect disclosed in the present application provides a forward-looking control method for wave soldering, the method comprising: accessing a wave soldering device and collecting a solder signal set of the wave soldering device; identifying a signal to be captured that reaches a first preset peak signal by analyzing the solder signal set, wherein the peak amplitude of the first preset peak signal is less than the peak amplitude of a control peak signal of the wave soldering device, and the difference between the peak amplitude of the first preset peak signal and the peak amplitude of the control peak signal of the wave soldering device is a forward-looking loss amplitude; using a signal capturer to capture the signal to be captured, inputting it into a Raman amplifier, amplifying and modulating the signal to be captured according to the Raman amplifier, and outputting an amplified peak signal; predicting the amplified peak signal to obtain an amplified compensation signal; restoring and modulating the amplified compensation signal according to an amplification parameter of the Raman amplifier, and outputting a restored compensation signal; and controlling the wave soldering device to perform signal compensation according to the restored compensation signal.

[0006] Another aspect disclosed in the present application provides a forward-looking control system for wave soldering, the system comprising: a solder signal acquisition module, the solder signal acquisition module is used to access the wave soldering equipment and collect the solder signal set of the wave soldering equipment; a solder signal analysis module, the solder signal analysis module is used to identify the signal to be captured that reaches a first preset peak signal by analyzing the solder signal set, wherein the peak amplitude of the first preset peak signal is less than the peak amplitude of the control peak signal of the wave soldering equipment, and the difference between the peak amplitude of the first preset peak signal and the peak amplitude of the control peak signal of the wave soldering equipment is the forward-looking loss amplitude ; an amplification modulation module, the amplification modulation module is used to use a signal capturer to capture the signal to be captured, input it into a Raman amplifier, amplify and modulate the signal to be captured according to the Raman amplifier, and output an amplified peak signal; a compensation signal acquisition module, the compensation signal acquisition module is used to predict the amplified peak signal and obtain an amplified compensation signal; a restoration modulation module, the restoration modulation module is used to restore and modulate the amplified compensation signal according to the amplification parameters of the Raman amplifier, and output a restored compensation signal; a signal compensation module, the signal compensation module is used to control the wave soldering equipment to perform signal compensation according to the restored compensation signal.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: The above-mentioned forward-looking control method for wave soldering collects solder signals from wave soldering equipment, and these signals reflect the real-time status of the soldering process. By analyzing these signals, the signals that are about to reach the first preset peak signal, that is, the signals to be captured, are identified. Once these signals to be captured are identified, a signal capturer is used to quickly capture these signals to be captured, and these signals to be captured are input into the Raman amplifier for amplification processing to obtain amplified peak signals. Subsequently, the amplified peak signal is subsequently predicted to obtain an amplified compensation signal. This compensation signal is to correct errors or distortions that may be introduced during the amplification process. Afterwards, according to the specific amplification parameters of the Raman amplifier, the amplified compensation signal is reversely adjusted to obtain a restored compensation signal. This restored compensation signal is used to guide the wave soldering equipment to perform signal compensation to ensure the stability and accuracy of the soldering process.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 The figure is a flow chart of a forward-looking control method for wave soldering in one embodiment.

[0011] Figure 2 FIG. 1 is an architecture diagram of a look-ahead control system for wave soldering in one embodiment.

[0012] Explanation of the reference numerals: solder signal acquisition module 1, solder signal analysis module 2, amplification and modulation module 3, compensation signal acquisition module 4, restoration and modulation module 5, signal compensation module 6. DETAILED DESCRIPTION

[0013] The embodiments of the present application provide a forward-looking control method and system for wave soldering to solve the technical problem that the welding signal is difficult to accurately predict and control during the wave soldering process, resulting in unstable welding effect.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0016] Embodiment 1, as Figure 1 As shown, the present application provides a forward-looking control method for wave soldering, the method comprising: A wave soldering device is connected to collect a solder signal set of the wave soldering device.

[0017] Wave soldering refers to the process of jetting molten solder (usually lead-tin alloy, but modern technology tends to lead-free solder such as tin-silver-copper alloy) into a solder wave crest of the design requirement through an electric pump or electromagnetic pump, or by injecting nitrogen into the solder pool. This solder wave crest allows a printed circuit board (PCB) pre-installed with components to pass through, achieving mechanical and electrical connection between the component soldering end or pin and the PCB pad. Its main material is solder bar, and the main equipment used is a wave soldering machine, i.e., wave soldering equipment.

[0018] In the embodiment of the present application, during the operation of the wave soldering equipment, the system terminal first establishes a connection with the wave soldering equipment so as to capture and record various signals in the soldering process in real time. After the connection is established, the system terminal collects the soldering signal of the wave soldering equipment and constructs a soldering signal set, which reflects the key information such as the state, temperature, flow condition and contact condition of the solder with the electronic components at different time points. By collecting these signals, the entire process of wave soldering can be analyzed and monitored, providing strong data support for subsequent signal compensation.

[0019] By analyzing the solder signal set, the signal to be captured that reaches the first preset peak signal is identified, wherein the peak amplitude of the first preset peak signal is less than the peak amplitude of the control peak signal of the wave soldering equipment, and the difference between the peak amplitude of the first preset peak signal and the peak amplitude of the control peak signal of the wave soldering equipment is the forward-looking loss amplitude.

[0020] In one embodiment, after obtaining the solder signal set, the system terminal sets a first preset peak signal according to the process requirements and welding quality standards of the wave soldering equipment. The peak amplitude of the first preset peak signal is less than the peak amplitude of the control peak signal in the actual operation of the wave soldering equipment, so as to leave a certain degree of foresight and adjustment space. The difference between the peak amplitude of the first preset peak signal and the peak amplitude of the control peak signal is the foresight loss amplitude, which reflects the size of the adjustment space or time window reserved before reaching the optimal welding condition. Subsequently, the solder signal set is traversed, and in each traversal, the system terminal performs peak detection on the current solder signal, identifies the maximum value of the signal in each cycle, and thus obtains the peak amplitude of the current solder signal. Then, the peak amplitude of the current solder signal obtained is compared with the peak amplitude of the first preset peak signal. When it reaches or approaches the peak amplitude of the first preset peak signal, the system terminal uses the current solder signal as a signal to be captured. After the traversal is completed, the system terminal obtains one or more signals to be captured for subsequent signal compensation.

[0021] The signal to be captured is captured by a signal capturer and input into a Raman amplifier. The signal to be captured is amplified and modulated by the Raman amplifier to output an amplified peak signal.

[0022] In one embodiment, the system terminal uses a signal capturer to capture the identified signals to be captured, and inputs these captured signals into a Raman amplifier. A Raman amplifier is a special optical amplifier that uses the Raman scattering effect to enhance the intensity of optical signals. In this process, the Raman amplifier amplifies and modulates the input signal to be captured to ensure that the signal maintains sufficient intensity and stability during transmission. After amplification and modulation, the Raman amplifier outputs an amplified signal, namely an amplified peak signal. This amplified peak signal has higher energy and better transmission characteristics, which is used for subsequent compensation prediction.

[0023] Furthermore, the present application provides a method of amplifying the signal to be captured according to the Raman amplifier and outputting an amplified peak signal, including: Perform forward-looking data collection on the signal to be captured to obtain a peak rise rate; initialize the amplification parameters of the Raman amplifier; input the peak rise rate into the Raman amplifier, and the Raman amplifier outputs matching amplification parameters according to the peak rise rate; amplify the signal to be captured according to the matching amplification parameters, and output an amplified peak signal.

[0024] Preferably, when processing the signal to be captured, the system terminal first uses a signal capturer to perform forward data acquisition on the signal to be captured. This step is to capture the peak rise rate in the signal in advance. This peak rise rate is very critical for subsequent signal processing because it can reflect the speed of signal changes, thereby helping to optimize the amplification process. Subsequently, the amplification parameters of the Raman amplifier are initialized, including pump light wavelength, pump light power, gain bandwidth, etc. These amplification parameters determine how the amplifier amplifies the input signal. After that, the system terminal inputs the acquired peak rise rate into the Raman amplifier. The Raman amplifier uses the peak rise rate to dynamically adjust the internal amplification parameters to output amplification parameters that match the peak rise rate, that is, matching amplification parameters. The purpose of this is to ensure that the amplifier can accurately amplify according to the actual changes in the signal to avoid over-discharge or under-discharge. Then, according to the matching amplification parameters output by the Raman amplifier, the system terminal adjusts the amplification parameters of the Raman amplifier and amplifies the signal to be captured with the latest amplification parameters. This amplification process takes into account both the peak amplitude and the rising rate of the peak of the signal, and thus can output a more accurate and stable amplified peak signal.

[0025] Further, the present application provides initializing amplification parameters of the Raman amplifier, including: Initializing amplification parameters of the Raman amplifier, the amplification parameters including the pump light wavelength, pump light power, and gain bandwidth of the forward pumping, and the pump light wavelength, pump light power, and gain bandwidth of the backward pumping.

[0026] Optionally, when initializing the amplification parameters of the Raman amplifier, the system terminal sets multiple key parameters of the forward pump and the backward pump to ensure that the amplifier can work efficiently and stably, and at the same time achieve the flattening of the gain and noise index. The amplification parameters include the pump light wavelength, pump light power, and gain bandwidth of the forward pump, and the pump light wavelength, pump light power, and gain bandwidth of the backward pump. Among them, the pump light wavelength refers to the wavelength of the light wave used to stimulate the energy level transition of molecules or atoms in the Raman gain medium, thereby generating the stimulated Raman scattering (SRS) effect. The pump light wavelength directly determines the position and shape of the Raman gain spectrum. Selecting the pump light wavelength in the range of 1528 to 1605 nm can achieve the flattening of the gain and noise index based on a specific gain medium (such as silicon material in optical fiber). Pump light of different wavelengths will stimulate different Raman gain spectra, affecting the amplification effect of the signal light. The pump light power refers to the light power emitted by the pump laser, which is used to excite the Raman gain medium. The pump light power is a key factor in determining the gain of the Raman amplifier. Higher pump light power can provide greater gain, but it may also cause nonlinear effects and increase noise. Gain bandwidth refers to the signal wavelength range in which the Raman amplifier can provide effective gain. Gain bandwidth determines the amplifier's ability to amplify signals of different wavelengths.

[0027] Furthermore, the present application provides a Raman amplifier, comprising: The Raman amplifier is a bidirectional pumping structure, and includes a filter, a forward pump, a backward pump, a forward coupler, a backward coupler and a gain fiber; wherein the signal to be captured passes through the filter of the Raman amplifier, the forward pump enters one end of the gain fiber through the forward coupler, and at the same time the backward pump laser enters the other end of the gain fiber through the backward coupler, and an output amplified peak signal is obtained through the gain fiber.

[0028] Preferably, the Raman amplifier adopts a bidirectional pumping structure, aiming to improve the amplification efficiency and gain flatness by pumping the gain fiber from two directions at the same time. Its main components include filters, forward pumping, backward pumping, forward couplers, backward couplers and gain fibers. Among them, the filter is a device that can selectively pass or block the passage of optical signals of a specific frequency. In the Raman amplifier, the filter is used to preprocess the input signal, remove unnecessary noise, stray light or other interference components, to ensure that only pure signal light enters the gain fiber for amplification. Forward pumping refers to the process of injecting pump light from one end of the gain fiber to the direction of signal light transmission. Pump light is a high-energy light used to excite molecules or atoms in the gain fiber to make it transition to a higher energy level, so that stimulated Raman scattering effect occurs when the signal light passes, and the energy of the pump light is transferred to the signal light to achieve signal amplification. Backward pumping is opposite to forward pumping, which refers to the process of injecting pump light from the other end of the gain fiber (opposite to the direction of signal light transmission). The backward pump light and the forward transmitted signal light travel in opposite directions in the gain fiber, and interact with the signal light through the stimulated Raman scattering effect to further amplify the signal. The forward coupler is responsible for combining the forward pump light and the signal light to be captured and sending them to one end of the gain fiber. This is a key step to ensure that the pump light and the signal light can be transmitted together in the gain fiber, so as to cause the stimulated Raman scattering effect and achieve signal amplification. The main function of the backward coupler is to guide the backward pump light to the other end of the gain fiber, that is, the position opposite to the entry point of the forward pump light. In this way, the pump light can act on the gain fiber from two directions at the same time, forming a bidirectional pumping effect. The gain fiber is the core component of the Raman amplifier. It is a special optical fiber doped with molecules or atoms (such as silicon, germanium, etc.) that can generate Raman gain. When the pump light and the signal light enter the gain fiber at the same time, the pump light will excite the molecules or atoms in the optical fiber, causing them to undergo stimulated Raman scattering with the signal light, thereby transferring the energy of the pump light to the signal light and achieving signal amplification. During amplification, the signal to be captured first passes through the filter of the Raman amplifier to remove unnecessary noise and stray light to ensure the purity of the signal. Subsequently, the pre-processed signal light is combined with the forward pump light in the forward coupler and enters one end of the gain fiber together. In the gain fiber, the forward pump light and the signal light are transmitted forward, while the backward pump light enters from the other end and travels in the opposite direction to them. At a specific position in the gain fiber, the pump light and the signal light undergo stimulated Raman scattering, and the signal light is amplified. After amplification by the gain fiber, the Raman amplifier outputs an amplified peak signal. The intensity of this amplified peak signal is increased and the noise is reduced, which can meet the needs of subsequent signal compensation.

[0029] Furthermore, the present application provides a noise capture unit, comprising: The signal capturer also includes a noise capture unit; a noise monitoring signal set of the wave soldering equipment is captured according to the noise capture unit; a noise signal set corresponding to the signal to be captured is extracted according to the noise monitoring signal set; a noise index of the noise signal set is obtained, and if the noise index is greater than a preset noise index, a first pump light power corresponding to the forward pumping and a second pump light power corresponding to the backward pumping are obtained, wherein the second pump light power is greater than the first pump light power.

[0030] Optionally, the signal capturer includes a noise capture unit, which is used to monitor the noise environment generated by the wave soldering equipment. The system terminal captures the noise around the wave soldering equipment according to the noise capture unit to obtain a noise monitoring signal set, which contains various noise information generated when the wave soldering equipment is running. Subsequently, according to these noise monitoring signal sets, the system terminal extracts the noise signal corresponding to the signal to be captured to form a noise signal set. This step is to separate the noise signal from the complex noise environment for subsequent analysis and processing. After that, the system terminal performs a fast Fourier transform on the noise signal set, converts it from the time domain to the frequency domain, and generates a complex array representing the amplitude and phase of the noise signal at different frequencies. Then, the amplitude spectrum and phase spectrum are extracted from the complex array. The amplitude spectrum shows the energy distribution of the noise signal at different frequencies, while the phase spectrum describes the relative phase relationship of different frequency components in the signal. Then, the power spectrum density is calculated by normalizing the square of the amplitude spectrum to represent the average power per unit frequency. The normalization calculation is performed by calculating the ratio of the difference between each data and the minimum data in the squared amplitude spectrum to the difference between the maximum data and the minimum data. The root mean square value is calculated by integrating the calculated power spectrum density over the entire frequency range and taking the square root. The peak noise level is obtained by extracting a maximum value from the calculated power spectrum density. After obtaining the power spectrum density, the root mean square value and the peak noise level, the system terminal assigns weights to the power spectrum density, the root mean square value and the peak noise level based on historical experience and expert advice, and performs weighted average calculation of the power spectrum density, the root mean square value and the peak noise level based on the assigned weights to obtain the noise index of the noise signal set. After obtaining the noise index of the noise signal set, the system terminal activates the preset noise index, which is determined based on business requirements and historical data. By comparing the obtained noise index with the preset noise index, it is evaluated whether the noise level of the current environment exceeds the acceptable threshold. If the noise index is greater than the preset noise index, it means that the environmental noise is relatively large. In order to obtain lower noise and better signal quality in this case, the system terminal adjusts the pump optical power of the Raman amplifier. Specifically, the system terminal will increase the second pump light power corresponding to the backward pumping to make it greater than the first pump light power corresponding to the forward pumping. This adjustment is based on the characteristics of the bidirectionally pumped Raman amplifier, that is, the backward pumping can improve the gain distribution in the gain fiber to a certain extent, reduce the gain fluctuation, and improve the signal-to-noise ratio of the signal.

[0031] The amplified peak signal is predicted to obtain an amplified compensation signal.

[0032] In one embodiment, after obtaining the amplified peak signal, the system terminal predicts the rise abnormality of the amplified peak signal. Subsequently, the prediction result is compared with the corresponding preset value, and the matching amplification parameter is optimized according to the comparison result. After that, the system terminal reconfigures the Raman amplifier using the optimized matching amplification parameter, and performs the same amplification modulation operation as described above on the amplified peak signal according to the reconfigured Raman amplifier, and outputs an amplification compensation signal. This amplification compensation signal is intended to adjust the amplified peak signal before or when the peak actually appears, so as to compensate or offset the distortion or over-enhancement that may be introduced due to the amplification process.

[0033] Furthermore, the present application provides a method for predicting the amplified peak signal to obtain an amplified compensation signal, including: The peak rising rate is predicted to be abnormal, and the abnormal rising probability is output; when the abnormal rising probability is greater than the preset abnormal rising probability, a parameter optimization instruction is obtained, and the matching amplification parameter is optimized according to the parameter optimization instruction.

[0034] Optionally, when the rising rate of the peak signal increases significantly, this indicates that the rate requirement for the Raman amplifier increases sharply. In order to cope with this potential rising anomaly, the system terminal will perform real-time analysis on the rising rate of the peak signal. By inputting the peak rising rate into the pre-built anomaly prediction model, the anomaly prediction model calculates the peak rising rate based on the learned knowledge and outputs the rising anomaly probability. If the calculated rising anomaly probability is greater than the preset upper anomaly probability threshold, this indicates that the current rising rate is too fast, which may have an adverse effect on the performance and stability of the Raman amplifier. In order to alleviate this situation, the system terminal will automatically trigger the parameter optimization process. In this process, the system terminal activates the parameter optimization instruction library. This parameter optimization instruction library is constructed based on the optimization experiment results. Subsequently, the parameter optimization instruction library is traversed according to the rising anomaly probability to obtain the parameter optimization instruction that meets the current rising anomaly probability. This parameter optimization instruction is intended to adjust the matching amplification parameters of the Raman amplifier to better match the rising rate of the current peak signal, thereby alleviating the excessive demand for the amplifier rate while ensuring the signal quality. In this way, it is possible to dynamically adapt to changes in signal characteristics to ensure stable performance and reliability under various working conditions.

[0035] For the anomaly prediction model, the system terminal collects historical time series data containing peak signals and their rising rates. These data cover normal and abnormal situations. Subsequently, the collected data is annotated to clarify which data points belong to normal rising rates and which belong to abnormal rising rates. The annotated historical time series data is then divided into training sets, validation sets, and test sets. After that, according to the complexity of the problem and the characteristics of the data, the number of layers of the network, the number of neurons in each layer, and the hyperparameters of each layer are determined to construct an initial anomaly prediction model. After obtaining the initial anomaly prediction model, the system terminal uses random numbers to initialize the weights and biases of the initial anomaly prediction model, and uses the training set to train the initial anomaly prediction model, and then updates the parameters of the initial anomaly prediction model through the back propagation algorithm and the gradient descent algorithm. After each training cycle, the system terminal uses the validation set to evaluate the performance of the initial anomaly prediction model and adjusts the hyperparameters as needed. When the performance of the initial anomaly prediction model on the validation set is no longer significantly improved, the system terminal stops training and uses the test set data to evaluate the performance of the initial anomaly prediction model to ensure that the initial anomaly prediction model can also show good generalization ability on unseen data. Then, the system terminal tunes the initial anomaly prediction model according to the evaluation results, including adjusting the network structure, optimizing algorithm parameters, etc. After the tuning is completed, if the initial anomaly prediction model performs well on unseen data, the system terminal outputs the initial anomaly prediction model to obtain the anomaly prediction model.

[0036] The amplified compensation signal is restored and modulated according to the amplification parameter of the Raman amplifier, and a restored compensation signal is output.

[0037] In one embodiment, after obtaining the amplified compensation signal, the system terminal performs parameter conversion according to the amplification parameters configured by the Raman amplifier, and then performs restoration modulation of the amplified compensation signal according to the converted parameters. Through restoration modulation, it can be ensured that the amplified compensation signal can accurately compensate for the attenuation or distortion caused by various factors during the transmission of the signal, thereby restoring or enhancing the original quality of the signal.

[0038] Furthermore, the present application provides a method of restoring and modulating the amplified compensation signal according to the amplification parameter of the Raman amplifier, including: The amplification parameters of the Raman amplifier for amplifying and modulating the signal to be captured are obtained; a restoration parameter is converted and output according to the amplification parameter, and the amplified compensation signal is restored and modulated based on the restoration parameter to output a restoration compensation signal.

[0039] Optionally, the system terminal extracts the amplification parameters used by the Raman amplifier when amplifying and modulating the captured signal. Subsequently, the obtained amplification parameters are input into the parameter restoration model. This parameter restoration model is pre-built based on a neural network, and the construction method is the same as the aforementioned construction of the abnormal prediction model. The parameter restoration model calculates the input amplification parameters through the learned knowledge and outputs the restoration parameters. After obtaining the restoration parameters, the system terminal adjusts the amplitude of the amplified compensation signal according to the amplitude adjustment information in the restoration parameters, including reducing the amplitude of the signal to make it closer to the amplitude of the original signal, and then adjusts the phase of the signal according to the phase adjustment information in the restoration parameters. Phase adjustment can ensure that the waveform and phase characteristics of the signal are consistent with the original signal. After restoration modulation, the system terminal obtains the output restoration compensation signal. This restoration compensation signal not only compensates for the attenuation of the signal during transmission, but also eliminates the adverse effects that may be introduced during the amplification process through restoration modulation, thereby being closer to the original state of the signal.

[0040] The wave soldering equipment is controlled to perform signal compensation according to the restoration compensation signal.

[0041] In one embodiment, after obtaining the reduction compensation signal, the system terminal applies the reduction compensation signal to the wave soldering equipment. In this process, the system terminal uses the reduction compensation signal as a reference to guide the fine adjustment of various operating parameters of the wave soldering equipment. These operating parameters include welding temperature, welding time, welding pressure, etc., which directly affect the quality and performance of the welded joint. By real-time monitoring and adjusting these operating parameters, it is possible to ensure that the wave soldering equipment is always in the best working state during the welding process.

[0042] In summary, the embodiments of the present application have at least the following technical effects: The embodiment of the present application is connected to the wave soldering equipment and collects the solder signal set, and identifies the signals to be captured that are lower than the control peak signal but have forward-looking characteristics through analysis. Subsequently, the signal capturer is used to capture these signals, and the Raman amplifier is used to amplify and modulate them, and the amplified peak signal is output. After that, the amplified peak signal is predicted to obtain the amplified compensation signal, and the compensation signal is restored and modulated according to the amplification parameters of the Raman amplifier, and finally the restored compensation signal is output to control the wave soldering equipment for signal compensation. In addition, a noise capture unit is introduced to monitor the noise level of the wave soldering equipment, and the pump light power is adjusted according to the noise index to improve the signal quality. In the prediction stage of the amplified peak signal, the amplification parameters are optimized by predicting the abnormality of the peak rise rate to ensure the stability and accuracy of the signal. These technical effects jointly solve the technical problem that the welding signal is difficult to accurately predict and control during the wave soldering process, resulting in unstable welding effect, and realize the effect of identifying and compensating the welding signal in advance through forward-looking control, and improving the prediction accuracy and control accuracy of the welding peak signal.

[0043] Embodiment 2, based on the same inventive concept as the forward-looking control method for wave soldering in the above-mentioned embodiment, Figure 2 As shown, the present application provides a forward-looking control system for wave soldering, and the system includes: a solder signal acquisition module 1: the solder signal acquisition module 1 is used to access the wave soldering equipment and collect the solder signal set of the wave soldering equipment; a solder signal analysis module 2: the solder signal analysis module 2 is used to analyze the solder signal set to identify the signal to be captured that reaches the first preset peak signal, wherein the peak amplitude of the first preset peak signal is less than the peak amplitude of the control peak signal of the wave soldering equipment, and the difference between the peak amplitude of the first preset peak signal and the peak amplitude of the control peak signal of the wave soldering equipment is the forward-looking loss amplitude; an amplification modulation Module 3: The amplification and modulation module 3 is used to capture the signal to be captured by using a signal capturer, input it into a Raman amplifier, amplify and modulate the signal to be captured according to the Raman amplifier, and output an amplified peak signal; compensation signal acquisition module 4: The compensation signal acquisition module 4 is used to predict the amplified peak signal and obtain the amplified compensation signal; restoration modulation module 5: The restoration modulation module 5 is used to restore and modulate the amplified compensation signal according to the amplification parameters of the Raman amplifier, and output a restored compensation signal; signal compensation module 6: The signal compensation module 6 is used to control the wave soldering equipment to perform signal compensation according to the restored compensation signal.

[0044] Furthermore, the amplification and modulation module 3 is also used to perform the following method: Perform forward-looking data collection on the signal to be captured to obtain a peak rise rate; initialize the amplification parameters of the Raman amplifier; input the peak rise rate into the Raman amplifier, and the Raman amplifier outputs matching amplification parameters according to the peak rise rate; amplify the signal to be captured according to the matching amplification parameters, and output an amplified peak signal.

[0045] Furthermore, the amplification and modulation module 3 is also used to perform the following method: The Raman amplifier is a bidirectional pumping structure, and includes a filter, a forward pump, a backward pump, a forward coupler, a backward coupler and a gain fiber; wherein the signal to be captured passes through the filter of the Raman amplifier, the forward pump enters one end of the gain fiber through the forward coupler, and at the same time the backward pump laser enters the other end of the gain fiber through the backward coupler, and an output amplified peak signal is obtained through the gain fiber.

[0046] Furthermore, the amplification and modulation module 3 is also used to perform the following method: Initializing amplification parameters of the Raman amplifier, the amplification parameters including the pump light wavelength, pump light power, and gain bandwidth of the forward pumping, and the pump light wavelength, pump light power, and gain bandwidth of the backward pumping.

[0047] Furthermore, the amplification and modulation module 3 is also used to perform the following method: A noise monitoring signal set of the wave soldering equipment is captured according to the noise capturing unit; a noise signal set corresponding to the signal to be captured is extracted according to the noise monitoring signal set; a noise index of the noise signal set is obtained, and if the noise index is greater than a preset noise index, a first pump light power corresponding to the forward pumping and a second pump light power corresponding to the backward pumping are obtained, wherein the second pump light power is greater than the first pump light power.

[0048] Furthermore, the compensation signal acquisition module 4 is also used to execute the following method: The peak rising rate is predicted to be abnormal, and the abnormal rising probability is output; when the abnormal rising probability is greater than the preset abnormal rising probability, a parameter optimization instruction is obtained, and the matching amplification parameter is optimized according to the parameter optimization instruction.

[0049] Furthermore, the restoration modulation module 5 is also used to perform the following method: The amplification parameters of the Raman amplifier for amplifying and modulating the signal to be captured are obtained; a restoration parameter is converted and output according to the amplification parameter, and the amplified compensation signal is restored and modulated based on the restoration parameter to output a restoration compensation signal.

[0050] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0051] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0052] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A forward-looking control method for wave soldering, characterized in that: The method comprises: Accessing a wave soldering device and collecting a solder signal set of the wave soldering device; By analyzing the solder signal set, a signal to be captured that reaches a first preset crest signal is identified, wherein the crest amplitude of the first preset crest signal is less than the crest amplitude of the control crest signal of the wave soldering device, and the difference between the crest amplitude of the first preset crest signal and the crest amplitude of the control crest signal of the wave soldering device is the forward-looking loss amplitude; The signal to be captured is captured by a signal capturer, and input into a Raman amplifier, and the signal to be captured is amplified and modulated by the Raman amplifier to output an amplified peak signal; Predicting the amplified peak signal to obtain an amplified compensation signal; Performing restoration modulation on the amplified compensation signal according to the amplification parameter of the Raman amplifier, and outputting a restoration compensation signal; The wave soldering equipment is controlled to perform signal compensation according to the restoration compensation signal.

2. The method according to claim 1, characterized in that The method amplifies the signal to be captured according to the Raman amplifier and outputs an amplified peak signal, including: Performing forward data collection on the signal to be captured to obtain a wave peak rising rate; Initializing amplification parameters of the Raman amplifier; Inputting the peak rise rate into the Raman amplifier, and the Raman amplifier outputs a matching amplification parameter according to the peak rise rate; The signal to be captured is amplified according to the matching amplification parameter, and an amplified peak signal is output.

3. The method according to claim 1, characterized in that The Raman amplifier is a bidirectional pumping structure, and comprises a filter, a forward pump, a backward pump, a forward coupler, a backward coupler and a gain optical fiber; The signal to be captured passes through the filter of the Raman amplifier, the forward pump enters one end of the gain fiber through the forward coupler, and the backward pump laser enters the other end of the gain fiber through the backward coupler, and the output amplified peak signal is obtained through the gain fiber.

4. The method according to claim 3, characterized in that Initializing amplification parameters of the Raman amplifier, the amplification parameters including the pump light wavelength, pump light power, and gain bandwidth of the forward pumping, and the pump light wavelength, pump light power, and gain bandwidth of the backward pumping.

5. The method according to claim 4, characterized in that The signal capturer also includes a noise capture unit; Capturing a noise monitoring signal set of the wave soldering equipment according to the noise capturing unit; Extracting a noise signal set corresponding to the signal to be captured according to the noise monitoring signal set; Obtain a noise index of the noise signal set. If the noise index is greater than a preset noise index, obtain a first pump light power corresponding to the forward pumping and a second pump light power corresponding to the backward pumping, wherein the second pump light power is greater than the first pump light power.

6. The method according to claim 2, characterized in that Predicting the amplified peak signal to obtain an amplified compensation signal includes: Performing an abnormal rise prediction on the peak rising rate and outputting an abnormal rise probability; When the rising abnormal probability is greater than the preset rising abnormal probability, a parameter optimization instruction is obtained, and the matching amplification parameter is optimized according to the parameter optimization instruction.

7. The method according to claim 5, characterized in that The amplified compensation signal is restored and modulated according to the amplification parameter of the Raman amplifier, and the method includes: Acquiring amplification parameters of the Raman amplifier for amplifying and modulating the signal to be captured; The restoration parameter is converted and output according to the amplification parameter, and the amplified compensation signal is restored and modulated based on the restoration parameter to output the restoration compensation signal.

8. A forward-looking control system for wave soldering, characterized in that: The steps for implementing the forward-looking control method for wave soldering according to any one of claims 1 to 7 include: Solder signal acquisition module: connected to the wave soldering equipment, collecting the solder signal set of the wave soldering equipment; A solder signal analysis module: by analyzing the solder signal set, identifying a signal to be captured that reaches a first preset crest signal, wherein the crest amplitude of the first preset crest signal is less than the crest amplitude of the control crest signal of the wave soldering device, and the difference between the crest amplitude of the first preset crest signal and the crest amplitude of the control crest signal of the wave soldering device is a forward-looking loss amplitude; Amplification and modulation module: using a signal capturer to capture the signal to be captured, inputting it into a Raman amplifier, amplifying and modulating the signal to be captured according to the Raman amplifier, and outputting an amplified peak signal; Compensation signal acquisition module: predicts the amplified peak signal to obtain an amplified compensation signal; A restoration modulation module: performs restoration modulation on the amplified compensation signal according to the amplification parameter of the Raman amplifier, and outputs a restoration compensation signal; Signal compensation module: controls the wave soldering equipment to perform signal compensation according to the restored compensation signal.

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