Photovoltaic module welding control method and system based on laser welding control

Abstract

The invention relates to the technical field of welding control, and particularly discloses a photovoltaic module welding control method and system based on laser welding control, and the system comprises a data collection module which is used for collecting the operation state data of a laser in a laser welding device and the welding state data of a photovoltaic module, the operation abnormity indexes of the laser at different time points in the welding process are calculated by combining the operation state data of the laser, the welding abnormity indexes of the laser at different time points in the welding process are calculated by combining the welding state data of the photovoltaic module, and analysis is performed by combining the two groups of data. According to the method, the abnormity existing in the welding process can be judged, when the welding stability is judged to be poor, the moving speed of the laser is adjusted in real time by combining two sets of data, the temperature stability in the welding process can be guaranteed through dynamic adjustment of the moving speed, and therefore the stability of the welding process and the welding quality are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of welding control, in particular to a photovoltaic module welding control method and system based on laser welding control. BACKGROUND

[0002] The photovoltaic module is one of the most important components in the solar power generation system, which is formed by a certain number of photovoltaic cells connected in series through wires and packaged. In the manufacturing process of the photovoltaic module, welding is one of the key steps, and its quality directly affects the performance and service life of the photovoltaic module.

[0003] In order to ensure the welding quality of the photovoltaic module, a welding control system is usually used to supervise the welding process during the welding process. The traditional welding control system generally simulates the most suitable moving speed of the laser welder according to the characteristics of the material before the welding operation starts, and monitors the welding temperature in real time according to the sensor during the welding operation to ensure the welding quality.

[0004] The traditional welding control system adjusts the moving speed of the laser welder according to the characteristics of the material before welding, but the temperature of the laser will be affected by the external environment during the welding process, and there is a small error in the corrected preset speed. Therefore, it is necessary to adjust the moving speed to correct the temperature of the welding point. The traditional welding control system cannot adjust the moving speed of the laser in real time, which may reduce the welding stability and affect the overall welding quality. SUMMARY

[0005] The purpose of the present application is to provide a photovoltaic module welding control method and system based on laser welding control, which solves the following technical problems: How to adjust the moving speed of the laser in real time during the welding process.

[0006] The purpose of the present application can be achieved by the following technical solutions: A photovoltaic module welding control method and system based on laser welding control, the system comprises: A data acquisition module for acquiring the running state data of the laser in the laser welding device and the welding state data of the photovoltaic module; A data evaluation module for calculating the running abnormality index of the laser at different time points in the welding process in combination with the running state data of the laser, and evaluating the running state of the laser according to the data; A data calculation module for calculating the welding abnormality index at different time points in the welding process in combination with the welding state data of the photovoltaic module; The data analysis module is used to analyze the welding stability at different time points by combining the welding anomaly index at different time points during the welding process. The data decision module is used to combine the analysis results from the data analysis module to decide whether the laser's moving speed needs to be adjusted. The adjustment module is used to adjust the laser's moving speed at different time points in the welding process by combining the welding status abnormality index at different time points.

[0007] Furthermore, the data collected by the data acquisition module includes: The laser's operating status data and the photovoltaic module's welding status data include the laser's voltage value, power level, and spot size at different time points during the welding process, and the photovoltaic module's welding status data include the weld temperature and heat-affected zone area at different time points during the welding process.

[0008] Furthermore, the evaluation process of the data evaluation module includes: Through formula The operational anomaly index of the laser at time point i during the welding process was calculated. ; Where n is the number of time points collected at fixed time intervals before the current time point, i = 1, 2, ..., n. Let be the voltage value of the laser at the i-th time point during the welding process. The preset voltage value, For all The average value, The preset voltage dispersion coefficient, Let be the power of the laser at time point i during the welding process. The preset power level, The error influence coefficient is set based on empirical fitting. To define a function, if Then let Otherwise, let .

[0009] Furthermore, the evaluation process of the data evaluation module also includes: By using the laser's operational anomaly index at time point i during the welding process Compared with the preset abnormal index threshold Perform a comparison; like The system determines that the laser's operating status at the current time point is abnormal, which will affect the welding quality of the welding operation, and suspends the welding operation to calibrate and repair the laser. like The system determines that the laser's operating status at the current time point is not abnormal and will not affect the quality of the welding operation. Then, it analyzes the welding status by combining the welding status data of the photovoltaic module.

[0010] Furthermore, the calculation process of the data calculation module includes: Through formula Calculate the welding condition anomaly index at time point i during the welding process. ; in, Let be the temperature of the weld joint at the i-th time point during the welding process. The preset solder joint temperature, for The standard value, Let be the area of ​​the heat-affected zone at the i-th time point during the welding process. The area of ​​the preset heat-affected zone. for The standard value, Let be the size of the laser spot at the i-th time point during the welding process. The preset spot size, for The standard value, The first proportionality coefficient is set based on empirical fitting.

[0011] Furthermore, the analysis process of the data analysis module includes: By using the welding condition anomaly index at the i-th time point during the welding process Compared with the preset welding condition abnormality index threshold range Perform a comparison; like The system determines that there is an abnormality in the welding state at the i-th time point during the welding process, and the temperature of the welding point is lower than the threshold. The data decision module decides that the laser moving speed needs to be adjusted. like The system determines that there is no abnormality in the welding status at the i-th time point during the welding process; like The system determines that there is an abnormality in the welding state at the i-th time point during the welding process, and the temperature of the welding point is higher than the threshold. The data decision module decides that the laser moving speed needs to be adjusted.

[0012] Furthermore, the adjustment process of the adjustment module includes: First, through the formula Calculate the dispersion coefficient of the welding condition anomaly index at time point i during the welding process. ; And through the formula Calculate the adjusted laser moving speed at the i-th time point ; Wherein, is the average value of all , is the maximum value of all , is the minimum value of all , is a preset welding state abnormality index dispersion coefficient, is a second proportional coefficient, which is set according to empirical fitting, is an adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number in the empirical data on the speed based on test data.

[0013] A photovoltaic module welding control method based on laser welding control, the method comprises: S1: acquiring the running state data of the laser in the laser welding device and the welding state data of the photovoltaic module through the data acquisition module: S2: calculating the running abnormality index of the laser at different time points in the welding process by combining the running state data of the laser through the data evaluation module, and evaluating the running state of the laser according to the data; S3: calculating the welding abnormality index at different time points in the welding process by combining the welding state data of the photovoltaic module through the data calculation module; S4: analyzing the welding stability at different time points by combining the welding abnormality index at different time points in the welding process through the data analysis module; S5: deciding whether the moving speed of the laser needs to be adjusted by combining the analysis result of the data analysis module through the data decision module; S6: adjusting the moving speed of the laser at different time points by combining the welding state abnormality index at different time points in the welding process through the adjustment module.

[0014] The beneficial effects of the present application are: (1) The present application calculates the running abnormality index of the laser at different time points in the welding process by combining the running state data of the laser, and calculates the welding abnormality index at different time points in the welding process by combining the welding state data of the photovoltaic module, which can not only make a judgment on the abnormality existing in the welding process, but also adjust the moving speed of the laser in real time when the welding stability is poor, and the dynamic adjustment of the moving speed can ensure the stability of the temperature in the welding process, thereby improving the stability of the welding process and the welding quality.

[0015] (2) This invention uses the laser's abnormal operation index at the i-th time point during the welding process as a measure. Compared with the preset abnormal index threshold By comparing the laser's operating status at the current time point, an accurate judgment can be made as to whether there are any abnormalities, and further, whether it will affect the welding operation. By analyzing the laser's status through this comparison method, the reliability of the laser in the welding operation can be guaranteed, and the situation where the laser's operating status affects the temperature of the welding point, making it impossible to correct the temperature of the welding point by adjusting the moving speed of the welder, can be avoided, thereby ensuring the quality of the welding operation.

[0016] (3) The present invention uses the welding state abnormality index at the i-th time point in the welding process. Compared with the preset welding condition abnormality index threshold range By comparing the data, an accurate judgment can be made as to whether there is an abnormality in the welding state at the i-th time point during the welding process. Then, the data decision module can decide whether to adjust the laser moving speed based on the analysis results. Furthermore, when an abnormality is found in the welding state, the temperature of the welding point can be determined based on the data size to determine whether it is higher or lower than the threshold, thus facilitating subsequent adjustment of the laser moving speed.

[0017] (4) This invention incorporates the welding state anomaly index at the i-th time point during the welding process. Subsequently, since this data is combined with the laser's operational anomaly index at the i-th time point during the welding process, The corrected result, by combining the two sets of data, improves the accuracy of the calculation, thereby ensuring the adjusted laser movement speed at time point i. To better reflect reality, based on this, by adjusting the laser's moving speed... Real-time adjustments can ensure that the temperature at different welding points is in an ideal state throughout the entire welding process, thereby improving the stability of the welding operation and the welding quality of the photovoltaic modules after welding.

[0018] (5) By evaluating the operating status of the laser, the present invention can ensure the normal use of the laser to ensure the normal progress of welding operations. Then, by combining the data to analyze the abnormal index in the welding process, the welding stability at different time points can be analyzed, and further decisions can be made on whether the laser speed needs to be adjusted. Finally, by combining two sets of diversified data to correct the laser moving speed, the temperature stability in the welding process can be ensured. By controlling the laser moving speed in real time, the welding quality can be improved. Attached Figure Description

[0019] The application will be further described below with reference to the accompanying drawings.

[0020] Figure 1 is a schematic diagram of a photovoltaic module welding control system based on laser welding control in the application; Figure 2 is a flow chart of a photovoltaic module welding control method based on laser welding control in the application. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the application.

[0022] Please refer to Figure 1 In one embodiment, the application provides a photovoltaic module welding control method and system based on laser welding control, as shown in the accompanying drawings, the system comprises: a data acquisition module, configured to acquire running state data of a laser in a laser welding device and welding state data of a photovoltaic module; a data evaluation module, configured to calculate running abnormality indexes of the laser at different time points in a welding process in combination with the running state data of the laser, and evaluate the running state of the laser according to the data; a data calculation module, configured to calculate welding abnormality indexes at different time points in the welding process in combination with the welding state data of the photovoltaic module; a data analysis module, configured to analyze welding stability at different time points in combination with the welding abnormality indexes at the different time points in the welding process; a data decision module, configured to decide whether the moving speed of the laser needs to be adjusted in combination with the analysis result of the data analysis module; an adjustment module, configured to adjust the moving speed of the laser at different time points in combination with the welding state abnormality indexes at the different time points in the welding process; Through the technical solution, the data acquisition module is provided in the present example. After the welding operation starts, the running state data of the laser in the laser welding device and the welding state data of the photovoltaic module are first acquired by the data acquisition module. The system will calculate the running abnormality index of the laser at different time points in the welding process by combining the running state data of the laser through the data evaluation module, and evaluate the running state of the laser according to the data. Then, the welding abnormality index at different time points in the welding process is calculated by combining the welding state data of the photovoltaic module. The welding stability at different time points is analyzed by combining the welding abnormality index at different time points in the welding process through the data analysis module. Subsequently, whether the moving speed of the laser needs to be adjusted is decided by combining the analysis result of the data analysis module through the data decision module. Finally, when it is decided that the moving speed needs to be adjusted, the moving speed of the laser at different time points is adjusted by combining the welding state abnormality index at different time points in the welding process through the adjustment module. Through the technical solution, the present example calculates the running abnormality index of the laser at different time points in the welding process by combining the running state data of the laser, and calculates the welding abnormality index at different time points in the welding process by combining the welding state data of the photovoltaic module. By combining the two sets of data for analysis, not only can the abnormality existing in the welding process be judged, but also the moving speed of the laser can be adjusted in real time when the welding stability is judged to be poor. The dynamic adjustment of the moving speed can ensure the stability of the temperature in the welding process, thereby improving the stability of the welding process and the welding quality.

[0023] The data acquired by the data acquisition module includes: The running state data of the laser and the welding state data of the photovoltaic module, the running state data of the laser includes the voltage value, power size and spot size of the laser at different time points in the welding process, and the welding state data of the photovoltaic module includes the solder joint temperature and heat affected zone area at different time points in the welding process. Through the technical solution, the data acquired by the data acquisition module includes the running state data of the laser and the welding state data of the photovoltaic module. By acquiring the data, accurate data support can be provided for subsequent evaluation of the state of the laser and the stability of the welding, thereby providing accurate data for subsequent judgment of whether the moving speed of the laser needs to be adjusted. Since the data is also used as correction data for adjusting the moving speed, the accuracy of the real-time speed after correction can be improved, thereby accurately controlling the operation of the laser and ensuring the welding quality.

[0024] The evaluation process of the data evaluation module includes: Through the formula The operational anomaly index of the laser at time point i during the welding process was calculated. ; Where n is the number of time points collected at fixed time intervals before the current time point, i = 1, 2, ..., n. Let be the voltage value of the laser at the i-th time point during the welding process. The preset voltage value, For all The average value, The preset voltage dispersion coefficient, Let be the power of the laser at time point i during the welding process. The preset power level, The error influence coefficient is set based on empirical fitting. To define a function, if Then let Otherwise, let ; Using the above technical solution, this example provides an operational anomaly index of the laser at the i-th time point during the welding process. It can be done through the formula The calculation is obtained, where the formula is... The voltage dispersion coefficient of the laser at the current operating time point can be calculated. Therefore, it is obvious that the higher the voltage dispersion coefficient of the laser at the current operating time point, and the higher the voltage and power of the laser at the i-th time point during the welding process, the higher the operational anomaly index of the laser at the i-th time point during the welding process. The higher the voltage dispersion coefficient at the current operating time point of the laser, and the closer the voltage and power values ​​of the laser at the i-th time point during the welding process are to the preset values, the lower the abnormal operation index of the laser at the i-th time point during the welding process. The lower the temperature, the better. This calculation method allows us to analyze the laser's operating status based on its operating data, thereby determining whether its operating status will affect the temperature of the welding point and whether the impact can be reduced by adjusting the laser's moving speed.

[0025] The evaluation process of the data evaluation module also includes: By using the laser's operational anomaly index at time point i during the welding process Compared with the preset abnormal index threshold Perform a comparison; like The system determines that the laser's operating status at the current time point is abnormal, which will affect the welding quality of the welding operation, and suspends the welding operation to calibrate and repair the laser. like The system determines that the laser's operating status at the current time point is not abnormal and will not affect the quality of the welding operation. Then, it analyzes the welding status by combining the welding status data of the photovoltaic module. Using the above technical solution, this example demonstrates the abnormal operation index of the laser at the i-th time point during the welding process. Compared with the preset abnormal index threshold By comparing the laser's operating status at the current time point, an accurate judgment can be made as to whether there are any abnormalities, and further, whether it will affect the welding operation. By analyzing the laser's status through this comparison method, the reliability of the laser in the welding operation can be guaranteed, and the situation where the laser's operating status affects the temperature of the welding point, making it impossible to correct the temperature of the welding point by adjusting the moving speed of the welder, can be avoided, thereby ensuring the quality of the welding operation.

[0026] The calculation process of the data calculation module includes: Through formula Calculate the welding condition anomaly index at time point i during the welding process. ; in, Let be the temperature of the weld joint at the i-th time point during the welding process. The preset solder joint temperature, for The standard value mentioned above can be selected and set based on the allowable error in empirical data. Let be the area of ​​the heat-affected zone at the i-th time point during the welding process. The area of ​​the preset heat-affected zone. for The standard value mentioned above can be selected and set based on the allowable error in empirical data. Let be the size of the laser spot at the i-th time point during the welding process. The preset spot size, for The standard value mentioned above can be selected and set based on the allowable error in empirical data. The first proportionality coefficient is set based on empirical fitting. Using the above technical solution, this example provides a welding status anomaly index at the i-th time point during the welding process. It can be done through the formula Calculations show that, obviously, the greater the difference between the weld point temperature and the heat-affected zone area at time point i during the welding process and the preset values, and the smaller the difference between the laser spot size and the preset values, the higher the welding state abnormality index at time point i during the welding process. The greater, the more abnormal the temperature of the welding point at the current time point is, and vice versa. The smaller the difference between the size of the laser spot and the preset value is, the more abnormal the welding state at the i-th time point in the welding process is. The smaller, the more normal the temperature of the welding point at the current time point is. Through this calculation method, the welding quality at the current time point can be analyzed according to the welding state data of the photovoltaic module at different time points, thereby providing accurate data for subsequent judgment of whether the moving speed of the laser needs to be adjusted.

[0027] The analysis process of the data analysis module includes: The welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. The welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. If the welding state at the i-th time point in the welding process is abnormal, the temperature of the welding point is lower than the threshold, and the data decision module decides that the moving speed of the laser needs to be adjusted. If the welding state at the i-th time point in the welding process is not abnormal. If the welding state at the i-th time point in the welding process is abnormal, the temperature of the welding point is higher than the threshold, and the data decision module decides that the moving speed of the laser needs to be adjusted. Through the above technical solution, the welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. Through the above technical solution, the welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. Through the above technical solution, the welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. Through the above technical solution, the welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. Through the above technical solution, the welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval. Through the above technical solution, the welding state abnormality index at the i-th time point in the welding process is compared with the preset welding state abnormality index threshold interval.

[0028] The adjustment process of the adjustment module includes: First, the dispersion coefficient of the welding state abnormality index at the i-th time point in the welding process is calculated by the formula And the adjusted moving speed of the laser at the i-th time point is calculated by the formula ; Wherein, ​​​​is the average value of all is the maximum value of all is the minimum value of all is the preset welding state abnormal index dispersion coefficient, is the second proportional coefficient, which is set according to empirical fitting, is the adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number value on the speed according to test data; is the adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number value on the speed according to test data; is the adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number value on the speed according to test data; is the adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number value on the speed according to test data; is the adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number value on the speed according to test data; According to the technical scheme, the adjusted laser moving speed at the i th time point can be obtained by the formula Through this calculation method, after combining the welding state abnormal index at the i th time point in the welding process , the result obtained by correcting the data combined with the running abnormal index of the laser at the i th time point in the welding process , so after combining the two groups of data, the accuracy of the calculation result can be improved, so as to ensure that the adjusted laser moving speed at the i th time point is more in line with the actual situation, and on this basis, through real-time adjustment of the laser moving speed , the temperature at different welding point positions in the whole welding operation process can be ensured to be in an ideal state, thereby improving the stability of the welding operation and the welding quality of the photovoltaic module after welding.

[0029] Please refer to Figure 2 , a photovoltaic module welding control method based on laser welding control, the method comprising: S1: collecting the running state data of the laser in the laser welding device and the welding state data of the photovoltaic module through the data acquisition module: S2: calculating the running abnormal index of the laser at different time points in the welding process by combining the running state data of the laser through the data evaluation module, and evaluating the running state of the laser according to the data; S3: calculating the welding abnormal index at different time points in the welding process by combining the welding state data of the photovoltaic module through the data calculation module; S4: analyzing the welding stability at different time points by combining the welding abnormal index at different time points in the welding process through the data analysis module; S5: deciding whether to adjust the moving speed of the laser by combining the analysis result of the data analysis module through the data decision module; S6: adjusting the moving speed of the laser at different time points by the adjusting module in combination with the welding state abnormality index at different time points in the welding process; Through the technical solution, the present example provides a photovoltaic module welding control method based on laser welding control. When welding is performed, first, the running state data of the laser in the laser welding device and the welding state data of the photovoltaic module are collected by the data collection module. Then, the running abnormality index of the laser at different time points in the welding process is calculated by the data evaluation module in combination with the running state data of the laser, and the running state of the laser is evaluated according to the data. Subsequently, the welding abnormality index at different time points in the welding process is calculated by the data calculation module in combination with the welding state data of the photovoltaic module. The welding stability at different time points is analyzed by the data analysis module in combination with the welding abnormality index at different time points in the welding process. After the analysis result is obtained, whether the moving speed of the laser needs to be adjusted is decided by the data decision module in combination with the analysis result of the data analysis module. Finally, the moving speed of the laser at different time points is adjusted by the adjusting module in combination with the welding state abnormality index at different time points in the welding process. Through such a setting, when laser welding is performed, the normal use of the laser can be ensured by evaluating the running state of the laser to ensure the normal performance of the welding operation. Then, the welding stability at different time points can be analyzed by analyzing the abnormality index in the welding process in combination with the data, and whether the speed of the laser needs to be adjusted can be further decided. Finally, the moving speed of the laser can be corrected by combining the two diversified sets of data, which can ensure the temperature stability in the welding process. By real-time regulation and control of the moving speed of the laser, the welding quality can be improved.

[0030] The above describes one embodiment of the present application in detail, but the content is only the preferred embodiment of the present application and cannot be considered as limiting the scope of the present application. Any equivalent changes and improvements made within the scope of the present application should still belong to the patent coverage of the present application.

Claims

1. A photovoltaic module weld control system based on laser weld control, characterized by, The system comprises: a data acquisition module for acquiring operation state data of a laser in a laser welding device and welding state data of a photovoltaic module; a data evaluation module for calculating operation abnormality indexes of the laser at different time points in a welding process in combination with the operation state data of the laser and evaluating the operation state of the laser according to the data; a data calculation module for calculating welding abnormality indexes at different time points in the welding process in combination with the welding state data of the photovoltaic module; a data analysis module for analyzing welding stability at different time points in combination with the welding abnormality indexes at different time points in the welding process; a data decision module for deciding whether the moving speed of the laser needs to be adjusted in combination with the analysis result of the data analysis module; and an adjustment module for adjusting the moving speed of the laser at different time points in combination with the welding state abnormality indexes at different time points in the welding process.

2. A photovoltaic module welding control system based on laser welding control according to claim 1, characterized in that, The data acquired by the data acquisition module comprises: operation state data of the laser and welding state data of the photovoltaic module, wherein the operation state data of the laser comprises voltage values, power sizes and spot sizes of the laser at different time points in the welding process, and the welding state data of the photovoltaic module comprises spot temperatures and heat affected zone areas at different time points in the welding process.

3. A photovoltaic module soldering control system based on laser soldering control according to claim 2, characterized in that, The evaluation process of the data evaluation module comprises: The running abnormality index of the laser at the i-th time point in the welding process is calculated by the formula ;​ wherein n is the number of time points collected at fixed time intervals before the current time point, i = 1, 2, …, n, is the voltage value of the laser at the i th time point during the welding process, is a preset voltage value, is the average value of all , is a preset voltage dispersion coefficient, is the power size of the laser at the i th time point during the welding process, is a preset power size, is an error influence coefficient, which is set according to experience fitting, is a definition function, if , then , otherwise, .

4. The photovoltaic module weld control system based on laser weld control according to claim 3, wherein, The evaluation process of the data evaluation module further comprises: By comparing the running anomaly index of the laser at the i-th time point in the welding process with a preset anomaly index threshold and the preset anomaly index threshold perform the comparison; If , the system determines that the current time point of the laser running state is abnormal, which will affect the welding quality of the welding operation, and the welding operation is suspended to calibrate and maintain the laser. If , the system determines that the current time point laser operating state does not exist abnormal, will not affect the quality of welding work, after the welding state data of the combination photovoltaic module is analyzed.

5. A photovoltaic module soldering control system based on laser soldering control according to claim 4, characterized in that, The calculation process of the data calculation module comprises: The welding state abnormality index at the i-th time point during the welding process is calculated by the formula ;​ wherein, is the spot temperature at the i-th time point during the welding process, is the preset spot temperature, is the standard value of , is the heat-affected zone area at the i-th time point during the welding process, is the preset heat-affected zone area, is the standard value of , is the laser spot size at the i-th time point during the welding process, is the preset spot size, is the standard value of , is the first proportional coefficient, which is set according to empirical fitting.

6. A photovoltaic module soldering control system based on laser soldering control according to claim 5, characterized in that, The analysis process of the data analysis module comprises: by comparing the welding condition abnormality index at the i-th time point in the welding process with a preset welding condition abnormality index threshold interval performs comparison; If , the system determines that the welding state at the i-th time point in the welding process is abnormal, the temperature of the welding point is lower than the threshold value, and the data decision module decides that the laser moving speed needs to be adjusted; If , the system determines that the welding state at the i-th time point in the welding process does not have an abnormality; If , the system determines that the welding state at the i-th time point in the welding process is abnormal, the temperature of the welding point is higher than the threshold value, and the data decision module decides to adjust the laser moving speed.

7. A photovoltaic module soldering control system based on laser soldering control according to claim 6, characterized in that, The adjustment process of the adjustment module comprises: First, the dispersion coefficient of the welding state abnormal index at the i th time point in the welding process is calculated by the formula ; and then the welding state abnormal index at the i th time point in the welding process is calculated by the formula ; And through the formula The adjusted laser moving speed at the i-th time point is calculated ; wherein, is the average value of all , is the maximum value of all , is the minimum value of all , is a preset welding state abnormality index dispersion coefficient, is a second proportional coefficient, which is set according to empirical fitting, is an adjustment coefficient lookup table function, which is obtained based on the influence degree of the value range of the number of times of welding on the speed according to the test data. The value range of the number of times of welding is obtained based on the test data.

8. A method for photovoltaic module welding control based on laser welding control, the method employs a photovoltaic module welding control system based on laser welding control as claimed in claims 1-7, characterized in that, The method comprises: S1: acquiring operation state data of a laser in a laser welding device and welding state data of a photovoltaic module by a data acquisition module; S2: calculating operation abnormality indexes of the laser at different time points in a welding process in combination with the operation state data of the laser by a data evaluation module and evaluating the operation state of the laser according to the data; S3: calculating welding abnormality indexes at different time points in the welding process in combination with the welding state data of the photovoltaic module by a data calculation module; S4: analyzing welding stability at different time points in combination with the welding abnormality indexes at different time points in the welding process by a data analysis module; S5: deciding whether the moving speed of the laser needs to be adjusted in combination with the analysis result of the data analysis module by a data decision module; and S6: adjusting the moving speed of the laser at different time points in combination with the welding state abnormality indexes at different time points in the welding process by an adjustment module.

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