Bonding wire self-adaption system and method for narrow-gap automatic welding

Abstract

The invention relates to the technical field of welding, in particular to a welding wire self-adaption system and method for narrow-gap automatic welding, and aims at solving the problems that in the prior art, a welding wire cannot be monitored, the situation of welding wire errors is difficult to find in time and self-adaptive adjustment is difficult to make, the welding error is easy to expand, and economic loss is caused. The bonding wire self-adaptive system comprises the following modules: a bonding wire monitoring module, a data analysis module, a bonding wire self-adaptive platform, a welding machine monitoring module and a parameter adjusting module, according to the welding wire self-adaption system, automation, high efficiency and accuracy of narrow gap welding are achieved, the welding quality can be improved, the production efficiency can be improved, abnormal conditions can be monitored in time and adjusted, welding errors are prevented from being expanded, and the welding cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of welding technology, and particularly to a wire adaption system and method for narrow-gap automatic welding. Background Art

[0002] With the development of industrial technology, the requirements for welding processes are getting higher and higher, especially for narrow-gap welding. To improve welding technology, existing production lines often control the welding of workpieces by using the position of mobile robots, which can effectively improve the accuracy during welding. The patent with the application number CN202211016210.0 discloses a robot adaptive welding system with online real-time guidance, which specifically relates to the field of welding technology and includes a driving arm. An inclined bracket is installed on the upper surface of the driving arm, and a guiding and monitoring mechanism is arranged inside the inclined bracket; the guiding and monitoring mechanism includes a vision sensor arranged inside the inclined bracket, and the output end of the driving arm is connected with a welding head. The present invention uses the guiding and monitoring mechanism to perform online vision guidance on the vision sensor on the inclined bracket, starts the top ultrasonic sensor, the first side ultrasonic sensor, the second side ultrasonic sensor, and the bottom ultrasonic sensor to perform data induction, and maintains the robot to perform welding operations according to the collected data. It can avoid guiding errors and welding collisions and other problems by using the driving arm in case of emergency, and has better operation stability and is safer and more reliable. However, there are still the following deficiencies: it is impossible to monitor the welding wire, it is difficult to detect and make adaptive adjustments in time when welding wire errors occur, which is likely to cause the expansion of welding errors and economic losses. Summary of the Invention

[0003] In order to overcome the above technical problems, the purpose of the present invention is to provide a wire adaption system and method for narrow-gap automatic welding: the wire monitoring module obtains the pipeline contour line, the left welding contour line, and the right welding contour line according to the welding points, and obtains the wire coefficient and the pipe welding coefficient according to the pipeline contour line, the left welding contour line, and the right welding contour line. The data analysis module obtains the welding anomaly coefficient according to the wire coefficient and the pipe welding coefficient. The wire adaption platform generates a welding machine monitoring instruction according to the welding anomaly coefficient. After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the operation coefficient of the welding machine. The wire adaption platform obtains the welding parameters of the welding machine according to the operation coefficient. The parameter adjustment module adjusts the parameters of the welding machine according to the welding parameters of the welding machine, solving the problems that the existing system cannot monitor the welding wire, it is difficult to detect and make adaptive adjustments in time when welding wire errors occur, which is likely to cause the expansion of welding errors and economic losses.

[0004] The purpose of the present invention can be achieved by the following technical solutions: A wire adaption system for narrow-gap automatic welding, comprising: The wire bonding monitoring module is used to obtain the pipeline contour line, the left welding contour line, and the right welding contour line according to the welding points, and obtain the wire bonding coefficient HX and the pipe welding coefficient HG based on the pipeline contour line, the left welding contour line, and the right welding contour line, and send the wire bonding coefficient HX and the pipe welding coefficient HG to the data analysis module; The data analysis module is used to obtain the welding anomaly coefficient HY according to the wire bonding coefficient HX and the pipe welding coefficient HG, and send the welding anomaly coefficient HY to the wire bonding adaptive platform; The wire bonding adaptive platform is used to generate a welding machine monitoring instruction according to the welding anomaly coefficient HY and send the welding machine monitoring instruction to the welding machine monitoring module; it is also used to obtain the welding parameters of the welding machine according to the operation coefficient YX and send the welding parameters of the welding machine to the parameter adjustment module; The welding machine monitoring module is used to obtain the operation coefficient YX of the welding machine after receiving the welding machine monitoring instruction and send the operation coefficient YX to the wire bonding adaptive platform; The parameter adjustment module is used to adjust the parameters of the welding machine according to the welding parameters of the welding machine.

[0005] As a further solution of the present invention: The specific process for the wire bonding monitoring module to obtain the wire bonding coefficient HX is as follows: Obtain the difference between the lengths of the left welding contour line and the right welding contour line, and mark it as the length difference CC. Obtain the difference between the areas of the patterns enclosed by the left welding contour line and the right welding contour line, and mark it as the area difference MC. Quantify the length difference CC and the area difference MC, extract the numerical values of the length difference CC and the area difference MC, and substitute them into the formula for calculation. According to the formula Obtain the wire bonding coefficient HX, where h1 and h2 are the preset proportionality coefficients corresponding to the set length difference CC and area difference MC respectively, and h1 and h2 satisfy h1 + h2 = 1, 0 < h1 < h2 < 1. Take h1 = 0.47 and h2 = 0.53.

[0006] As a further solution of the present invention: The specific process for the wire bonding monitoring module to obtain the pipe welding coefficient HG is as follows: Concentrically set the left welding contour line with the pipe contour line, obtain the maximum distance and minimum distance between the left welding contour line and the pipe contour line, and mark them as the maximum left distance value ZD and the minimum left distance value ZX. Obtain the difference between the maximum left distance value ZD and the minimum left distance value ZX, and mark it as the left distance value ZJ. Obtain the area of the region between the left welding contour line and the pipe contour line, and mark it as the left face value ZM. Concentrically set the right welding contour line with the pipe contour line, obtain the maximum distance and minimum distance between the right welding contour line and the pipe contour line, and mark them as the maximum right distance value YD and the minimum right distance value YX. Obtain the difference between the maximum right distance value YD and the minimum right distance value YX, and mark it as the right distance value YJ. Obtain the area of the region between the right welding contour line and the pipe contour line, and mark it as the right face value YM. Obtain the average value of the left distance value ZJ and the right distance value YJ, and mark it as the average distance value JJ. Obtain the difference between the left face value ZM and the right face value YM, and mark it as the difference face value CM. Quantify the average distance value JJ and the difference face value CM, extract the numerical values of the average distance value JJ and the difference face value CM, and substitute them into the formula for calculation. According to the formula Obtain the welding pipe coefficient HG, where g1 and g2 are the preset proportionality coefficients corresponding to the set average distance value JJ and difference face value CM respectively, and g1 and g2 satisfy g1 + g2 = 1, 0 < g2 < g1 < 1. Take g1 = 0.58 and g2 = 0.42.

[0007] As a further solution of the present invention: The specific process of the data analysis module obtaining the welding anomaly coefficient HY is as follows: Quantify the welding wire coefficient HX and the welding pipe coefficient HG, extract the numerical values of the welding wire coefficient HX and the welding pipe coefficient HG, and substitute them into the formula for calculation. According to the formula Obtain the welding anomaly coefficient HY, where k1 and k2 are the preset weight factors corresponding to the set welding wire coefficient HX and welding pipe coefficient HG respectively, and k2 > k1 > 1.352. Take k1 = 1.41 and k2 = 1.79; Send the welding anomaly coefficient HY to the welding wire adaptive platform.

[0008] As a further solution of the present invention: The specific process of the welding wire adaptive platform generating the welding machine monitoring instruction is as follows: Compare the welding anomaly coefficient HY with the preset welding anomaly threshold HYy: If the welding anomaly coefficient HY > the welding anomaly threshold HYy, generate a welding machine monitoring instruction and send the welding machine monitoring instruction to the welding machine monitoring module.

[0009] As a further solution of the present invention: The specific process of the welding machine monitoring module obtaining the operation coefficient YX is as follows: After receiving the welding machine monitoring instruction, obtain the number of vibrations of the welding machine per unit time, and mark it as the vibration frequency value ZC. Obtain the maximum noise sound intensity of the welding machine per unit time, and mark it as the noise value ZY. Quantize the vibration frequency value ZC and the noise value ZY, extract the numerical values of the vibration frequency value ZC and the noise value ZY, and substitute them into the formula for calculation. According to the formula obtain the operation coefficient YX, where x1 and x2 are the preset proportional coefficients corresponding to the set vibration frequency value ZC and noise value ZY respectively. x1 and x2 satisfy x1 + x2 = 1, 0 < x2 < x1 < 1. Take x1 = 0.69 and x2 = 0.31; Send the operation coefficient YX to the wire bonding adaptive platform.

[0010] As a further solution of the present invention: The specific process for the wire bonding adaptive platform to obtain the welding parameters of the welding machine is as follows: Obtain all the operation coefficients YX of the welding machine when the welding abnormality coefficient HY in the historical data is less than or equal to the welding abnormality threshold HYy, and mark them as the historical operation values. Obtain the welding parameters of the welding machine when the historical operation value with the smallest difference from the operation coefficient YX, and send the welding parameters of the welding machine to the parameter adjustment module; among them, the welding parameters of the welding machine include welding current, welding voltage, and welding speed.

[0011] As a further solution of the present invention: A wire bonding adaptive method for narrow-gap automatic welding includes the following steps: Step 1: The wire bonding monitoring module obtains the pipe contour line, the left welding contour line, and the right welding contour line according to the welding point, and obtains the wire bonding coefficient HX and the pipe welding coefficient HG according to the pipe contour line, the left welding contour line, and the right welding contour line, and sends the wire bonding coefficient HX and the pipe welding coefficient HG to the data analysis module; the specific process is as follows: The wire bonding monitoring module marks the starting position of welding as the welding point, selects the cross-section at the welding point of the welded pipe, and marks the contour line at the outer edge position of the cross-section as the pipe contour line; The wire bonding monitoring module starts welding from the welding point and ends at the welding point to form a wire bond, obtains the contour lines at both side edges of the wire bond, and marks them as the left welding contour line and the right welding contour line respectively; The wire bonding monitoring module obtains the difference between the lengths of the left welding contour line and the right welding contour line, and marks it as the length difference CC. Obtains the difference between the areas of the patterns enclosed by the left welding contour line and the right welding contour line, and marks it as the area difference MC. Quantize the length difference CC and the area difference MC, extract the numerical values of the length difference CC and the area difference MC, and substitute them into the formula for calculation. According to the formula Obtain the wire bonding coefficient HX, where h1 and h2 are the preset proportional coefficients corresponding to the set length difference CC and surface difference MC respectively. h1 and h2 satisfy h1 + h2 = 1, 0 < h1 < h2 < 1. Take h1 = 0.47 and h2 = 0.53; The wire bonding monitoring module sets the left welding contour line concentric with the pipe contour line, obtains the maximum distance and minimum distance between the left welding contour line and the pipe contour line, and marks them as the large left distance value ZD and the small left distance value ZX. Obtain the difference between the large left distance value ZD and the small left distance value ZX, and mark it as the left distance value ZJ. Obtain the area of the region between the left welding contour line and the pipe contour line, and mark it as the left surface value ZM; Set the right welding contour line concentric with the pipe contour line, obtain the maximum distance and minimum distance between the right welding contour line and the pipe contour line, and mark them as the large right distance value YD and the small right distance value YX. Obtain the difference between the large right distance value YD and the small right distance value YX, and mark it as the right distance value YJ. Obtain the area of the region between the right welding contour line and the pipe contour line, and mark it as the right surface value YM; Obtain the average value of the left distance value ZJ and the right distance value YJ, and mark it as the average distance value JJ. Obtain the difference between the left surface value ZM and the right surface value YM, and mark it as the surface difference value CM. Quantify the average distance value JJ and the surface difference value CM, extract the numerical values of the average distance value JJ and the surface difference value CM, and substitute them into the formula for calculation according to the formula Obtain the welded pipe coefficient HG, where g1 and g2 are the preset proportional coefficients corresponding to the set average distance value JJ and surface difference value CM respectively. g1 and g2 satisfy g1 + g2 = 1, 0 < g2 < g1 < 1. Take g1 = 0.58 and g2 = 0.42; The wire bonding monitoring module sends the wire bonding coefficient HX and the welded pipe coefficient HG to the data analysis module; Step 2: The data analysis module obtains the welding anomaly coefficient HY based on the wire bonding coefficient HX and the welded pipe coefficient HG, and sends the welding anomaly coefficient HY to the wire bonding adaptive platform; The specific process is as follows: The data analysis module quantifies the wire bonding coefficient HX and the welded pipe coefficient HG, extracts the numerical values of the wire bonding coefficient HX and the welded pipe coefficient HG, and substitutes them into the formula for calculation according to the formula Obtain the welding anomaly coefficient HY, where k1 and k2 are the preset weight factors corresponding to the set wire bonding coefficient HX and welded pipe coefficient HG respectively. k1 and k2 satisfy k2 > k1 > 1.352. Take k1 = 1.41 and k2 = 1.79; The data analysis module sends the welding anomaly coefficient HY to the wire bonding adaptive platform; Step 3: The wire bonding adaptive platform generates a welding machine monitoring instruction based on the welding anomaly coefficient HY and sends the welding machine monitoring instruction to the welding machine monitoring module; The specific process is as follows: The wire bonding adaptive platform compares the welding anomaly coefficient HY with the preset welding anomaly threshold HYy: If the welding anomaly coefficient HY > the welding anomaly threshold HYy, a welding machine monitoring instruction is generated and sent to the welding machine monitoring module; Step 4: After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the operation coefficient YX of the welding machine and sends the operation coefficient YX to the wire bonding adaptive platform; the specific process is as follows: After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the number of vibrations of the welding machine per unit time and marks it as the vibration frequency value ZC, obtains the maximum noise sound intensity of the welding machine per unit time and marks it as the noise value ZY, quantifies the vibration frequency value ZC and the noise value ZY, extracts the numerical values of the vibration frequency value ZC and the noise value ZY, and substitutes them into the formula for calculation. According to the formula the operation coefficient YX is obtained, where x1 and x2 are the preset proportionality coefficients corresponding to the set vibration frequency value ZC and noise value ZY respectively, x1 and x2 satisfy x1 + x2 = 1, 0 < x2 < x1 < 1, and x1 = 0.69, x2 = 0.31; The welding machine monitoring module sends the operation coefficient YX to the wire bonding adaptive platform; Step 5: The wire bonding adaptive platform obtains the welding parameters of the welding machine according to the operation coefficient YX and sends the welding parameters of the welding machine to the parameter adjustment module; the specific process is as follows: The wire bonding adaptive platform obtains all the operation coefficients YX of the welding machine when the welding anomaly coefficient HY ≤ the welding anomaly threshold HYy in the historical data and marks them as the historical operation values, obtains the welding parameters of the welding machine when the historical operation value with the smallest difference from the operation coefficient YX is obtained, and sends the welding parameters of the welding machine to the parameter adjustment module; among them, the welding parameters of the welding machine include welding current, welding voltage, and welding speed; Step 6: The parameter adjustment module adjusts the parameters of the welding machine according to the welding parameters of the welding machine.

[0012] The beneficial effects of the present invention: A wire welding adaptive system and method for narrow-gap automatic welding according to the present invention. The wire welding monitoring module obtains the pipeline contour line, the left welding contour line, and the right welding contour line based on the welding point, and obtains the wire welding coefficient and the pipe welding coefficient according to the pipeline contour line, the left welding contour line, and the right welding contour line. The data analysis module obtains the welding abnormality coefficient according to the wire welding coefficient and the pipe welding coefficient. The wire welding adaptive platform generates a welding machine monitoring instruction according to the welding abnormality coefficient. After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the operating coefficient of the welding machine. The wire welding adaptive platform obtains the welding parameters of the welding machine according to the operating coefficient. The parameter adjustment module adjusts the parameters of the welding machine according to the welding parameters of the welding machine. The wire welding adaptive system first obtains the pipeline contour line, the left welding contour line, and the right welding contour line. The pipeline contour line represents the contour line without wire welding before welding, while the left welding contour line and the right welding contour line are the contour lines when there is wire welding. The wire welding coefficient is used to measure the difference degree of the contour lines on both sides of the wire welding, and the larger the wire welding coefficient, the higher the difference degree. The pipe welding coefficient is used to measure the difference degree of the contour lines before and after welding, and the larger the pipe welding coefficient, the higher the difference degree. The welding abnormality coefficient obtained from the two can comprehensively measure the abnormality degree of the wire welding, and the larger the welding abnormality coefficient, the higher the abnormality degree, which requires adaptive adjustment. Then, the operating coefficient is obtained. The operating coefficient is used to measure the state of the welding machine. Then, the welding parameters of the welding machine are selected according to the operating coefficient, and the parameters of the welding machine with abnormal wire welding are adjusted by using the welding parameters of the welding machine, realizing the automatic adjustment of the welding machine parameters. The wire welding adaptive system realizes the automation, high efficiency, and precision of narrow-gap welding, not only can improve the welding quality, but also can improve the production efficiency, can timely detect and make adjustments to abnormal situations, avoid the expansion of welding errors, and reduce the welding cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below with reference to the accompanying drawings.

[0014] Figure 1 is a schematic block diagram of a wire welding adaptive system for narrow-gap automatic welding in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0016] Embodiment 1: Please refer to Figure 1As shown in the figure, this embodiment is a wire welding adaptive system for narrow-gap automatic welding, including the following modules: a wire welding monitoring module, a data analysis module, a wire welding adaptive platform, a welding machine monitoring module, and a parameter adjustment module; Among them, the wire welding monitoring module is used to obtain the pipeline contour line, the left welding contour line, and the right welding contour line according to the welding point, and obtain the wire welding coefficient HX and the pipe welding coefficient HG according to the pipeline contour line, the left welding contour line, and the right welding contour line, and send the wire welding coefficient HX and the pipe welding coefficient HG to the data analysis module; Among them, the data analysis module is used to obtain the welding abnormality coefficient HY according to the wire welding coefficient HX and the pipe welding coefficient HG, and send the welding abnormality coefficient HY to the wire welding adaptive platform; Among them, the wire welding adaptive platform is used to generate a welding machine monitoring instruction according to the welding abnormality coefficient HY, and send the welding machine monitoring instruction to the welding machine monitoring module; it is also used to obtain the welding machine welding parameters according to the operation coefficient YX, and send the welding machine welding parameters to the parameter adjustment module; Among them, the welding machine monitoring module is used to obtain the operation coefficient YX of the welding machine after receiving the welding machine monitoring instruction, and send the operation coefficient YX to the wire welding adaptive platform; Among them, the parameter adjustment module is used to adjust the parameters of the welding machine according to the welding machine welding parameters.

[0017] Embodiment 2: This embodiment is a wire welding adaptive method for narrow-gap automatic welding, including the following steps: Step 1: The wire welding monitoring module obtains the pipeline contour line, the left welding contour line, and the right welding contour line according to the welding point, and obtains the wire welding coefficient HX and the pipe welding coefficient HG according to the pipeline contour line, the left welding contour line, and the right welding contour line, and sends the wire welding coefficient HX and the pipe welding coefficient HG to the data analysis module; the specific process is as follows: The wire welding monitoring module marks the starting position of welding as the welding point, selects the cross-section at the welding point of the welded pipeline, and marks the contour line at the outer edge position of the cross-section as the pipeline contour line; The wire welding monitoring module starts welding from the welding point and ends at the welding point to form a wire, obtains the contour lines at both side edges of the wire, and marks them as the left welding contour line and the right welding contour line respectively; The wire welding monitoring module obtains the difference between the lengths of the left welding contour line and the right welding contour line, and marks it as the length difference CC, obtains the difference between the areas of the patterns enclosed by the left welding contour line and the right welding contour line, and marks it as the area difference MC, quantifies the length difference CC and the area difference MC, extracts the numerical values of the length difference CC and the area difference MC, and substitutes them into the formula for calculation, according to the formula Obtain the wire bonding coefficient HX, where h1 and h2 are the preset proportionality coefficients corresponding to the set length difference CC and surface difference MC respectively. h1 and h2 satisfy h1 + h2 = 1, 0 < h1 < h2 < 1. Take h1 = 0.47 and h2 = 0.53; The wire bonding monitoring module concentrically sets the left welding contour line and the pipe contour line, obtains the maximum distance and the minimum distance between the left welding contour line and the pipe contour line, and marks them as the large left distance value ZD and the small left distance value ZX. Obtain the difference between the large left distance value ZD and the small left distance value ZX, and mark it as the left distance value ZJ. Obtain the area of the region between the left welding contour line and the pipe contour line, and mark it as the left surface value ZM; Concentrically set the right welding contour line and the pipe contour line, obtain the maximum distance and the minimum distance between the right welding contour line and the pipe contour line, and mark them as the large right distance value YD and the small right distance value YX. Obtain the difference between the large right distance value YD and the small right distance value YX, and mark it as the right distance value YJ. Obtain the area of the region between the right welding contour line and the pipe contour line, and mark it as the right surface value YM; Obtain the average value of the left distance value ZJ and the right distance value YJ, and mark it as the average distance value JJ. Obtain the difference between the left surface value ZM and the right surface value YM, and mark it as the difference surface value CM. Quantize the average distance value JJ and the difference surface value CM, extract the numerical values of the average distance value JJ and the difference surface value CM, and substitute them into the formula for calculation. According to the formula Obtain the welded pipe coefficient HG, where g1 and g2 are the preset proportionality coefficients corresponding to the set average distance value JJ and difference surface value CM respectively. g1 and g2 satisfy g1 + g2 = 1, 0 < g2 < g1 < 1. Take g1 = 0.58 and g2 = 0.42; The wire bonding monitoring module sends the wire bonding coefficient HX and the welded pipe coefficient HG to the data analysis module; Step 2: The data analysis module obtains the welding anomaly coefficient HY based on the wire bonding coefficient HX and the welded pipe coefficient HG, and sends the welding anomaly coefficient HY to the wire bonding adaptive platform; The specific process is as follows: The data analysis module quantizes the wire bonding coefficient HX and the welded pipe coefficient HG, extracts the numerical values of the wire bonding coefficient HX and the welded pipe coefficient HG, and substitutes them into the formula for calculation. According to the formula Obtain the welding anomaly coefficient HY, where k1 and k2 are the preset weight factors corresponding to the set wire bonding coefficient HX and welded pipe coefficient HG respectively. k1 and k2 satisfy k2 > k1 > 1.352. Take k1 = 1.41 and k2 = 1.79; The data analysis module sends the welding anomaly coefficient HY to the wire bonding adaptive platform; Step 3: The wire bonding adaptive platform generates a welding machine monitoring instruction based on the welding anomaly coefficient HY, and sends the welding machine monitoring instruction to the welding machine monitoring module; The specific process is as follows: The wire bonding adaptive platform compares the welding anomaly coefficient HY with the preset welding anomaly threshold value HYy: If the welding anomaly coefficient HY > the welding anomaly threshold value HYy, a welding machine monitoring instruction is generated and sent to the welding machine monitoring module; Step Four: After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the operation coefficient YX of the welding machine and sends the operation coefficient YX to the wire bonding adaptive platform; the specific process is as follows: After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the number of vibrations of the welding machine per unit time and marks it as the vibration frequency value ZC, obtains the maximum noise sound intensity of the welding machine per unit time and marks it as the noise value ZY, quantifies the vibration frequency value ZC and the noise value ZY, extracts the numerical values of the vibration frequency value ZC and the noise value ZY, and substitutes them into the formula for calculation. According to the formula the operation coefficient YX is obtained, where x1 and x2 are the preset proportionality coefficients corresponding to the set vibration frequency value ZC and noise value ZY respectively, x1 and x2 satisfy x1 + x2 = 1, 0 < x2 < x1 < 1, and x1 = 0.69, x2 = 0.31; The welding machine monitoring module sends the operation coefficient YX to the wire bonding adaptive platform; Step Five: The wire bonding adaptive platform obtains the welding parameters of the welding machine according to the operation coefficient YX and sends the welding parameters of the welding machine to the parameter adjustment module; the specific process is as follows: The wire bonding adaptive platform obtains all the operation coefficients YX of the welding machine when the welding anomaly coefficient HY ≤ the welding anomaly threshold value HYy in the historical data and marks them as the historical operation values, obtains the welding parameters of the welding machine when the historical operation value with the smallest difference from the operation coefficient YX is obtained, and sends the welding parameters of the welding machine to the parameter adjustment module; among them, the welding parameters of the welding machine include welding current, welding voltage, and welding speed; Step Six: The parameter adjustment module adjusts the parameters of the welding machine according to the welding parameters of the welding machine.

[0018] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0019] The above content is only an example and illustration of the present invention. Those skilled in the art to which the present technology pertains can make various modifications, supplements, or use similar methods of substitution to the specific embodiments described. As long as they do not deviate from the invention or exceed the scope defined by the claims of the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A wire adaption system for narrow-gap automatic welding, characterized in that, Including: A wire bonding monitoring module, which is used to obtain the pipeline contour line, the left welding contour line and the right welding contour line according to the welding points, and obtain the wire bonding coefficient HX and the pipe welding coefficient HG according to the pipeline contour line, the left welding contour line and the right welding contour line, and send the wire bonding coefficient HX and the pipe welding coefficient HG to the data analysis module; A data analysis module, which is used to obtain the welding anomaly coefficient HY according to the wire bonding coefficient HX and the pipe welding coefficient HG, and send the welding anomaly coefficient HY to the wire bonding adaptive platform; A wire bonding adaptive platform, which is used to generate a welding machine monitoring instruction according to the welding anomaly coefficient HY, and send the welding machine monitoring instruction to the welding machine monitoring module; It is also used to obtain the welding parameters of the welding machine according to the operation coefficient YX, and send the welding parameters of the welding machine to the parameter adjustment module; A welding machine monitoring module, which is used to obtain the operation coefficient YX of the welding machine after receiving the welding machine monitoring instruction, and send the operation coefficient YX to the wire bonding adaptive platform; A parameter adjustment module, which is used to adjust the parameters of the welding machine according to the welding parameters of the welding machine.

2. The wire adaptability system for narrow-gap automatic welding according to claim 1, characterized in that, The specific process for the wire bonding monitoring module to obtain the wire bonding coefficient HX is as follows: Obtain the difference between the lengths of the left welding contour line and the right welding contour line, and mark it as the length difference CC. Obtain the difference between the areas of the patterns enclosed by the left welding contour line and the right welding contour line, and mark it as the area difference MC. Quantify the length difference CC and the area difference MC to obtain the wire bonding coefficient HX.

3. The wire adaption system for narrow-gap automatic welding according to claim 1, characterized in that, The specific process for the wire bonding monitoring module to obtain the pipe welding coefficient HG is as follows: Concentrically set the left welding contour line with the pipeline contour line, obtain the maximum distance and the minimum distance between the left welding contour line and the pipeline contour line, and mark them as the large left distance value ZD and the small left distance value ZX. Obtain the difference between the large left distance value ZD and the small left distance value ZX, and mark it as the left distance value ZJ. Obtain the area of the region between the left welding contour line and the pipeline contour line, and mark it as the left area value ZM. Concentrically set the right welding contour line with the pipeline contour line, obtain the maximum distance and the minimum distance between the right welding contour line and the pipeline contour line, and mark them as the large right distance value YD and the small right distance value YX. Obtain the difference between the large right distance value YD and the small right distance value YX, and mark it as the right distance value YJ. Obtain the area of the region between the right welding contour line and the pipeline contour line, and mark it as the right area value YM. Obtain the average value of the left distance value ZJ and the right distance value YJ, and mark it as the average distance value JJ. Obtain the difference between the left area value ZM and the right area value YM, and mark it as the area difference value CM. Quantify the average distance value JJ and the area difference value CM to obtain the pipe welding coefficient HG.

4. The wire welding adaptive system for narrow-gap automatic welding according to claim 1, characterized in that, The specific process for the data analysis module to obtain the welding anomaly coefficient HY is as follows: Quantify the wire bonding coefficient HX and the pipe welding coefficient HG to obtain the welding anomaly coefficient HY; Send the welding anomaly coefficient HY to the wire bonding adaptive platform.

5. The wire adaption system for narrow-gap automatic welding according to claim 1, characterized in that, The specific process for the wire bonding adaptive platform to generate a welding machine monitoring instruction is as follows: Compare the welding anomaly coefficient HY with the preset welding anomaly threshold HYy: If the welding anomaly coefficient HY > the welding anomaly threshold HYy, a welding machine monitoring instruction is generated and sent to the welding machine monitoring module.

6. The wire adaption system for narrow-gap automatic welding according to claim 1, characterized in that, The specific process for the welding machine monitoring module to obtain the operation coefficient YX is as follows: After receiving the welding machine monitoring instruction, obtain the number of vibrations of the welding machine per unit time and mark it as the vibration frequency value ZC, obtain the maximum noise sound intensity of the welding machine per unit time and mark it as the noise value ZY, and perform quantization processing on the vibration frequency value ZC and the noise value ZY to obtain the operation coefficient YX; Send the operation coefficient YX to the wire bonding adaptive platform.

7. The wire adaption system for narrow-gap automatic welding according to claim 1, characterized in that The specific process for the wire bonding adaptive platform to obtain the welding parameters of the welding machine is as follows: Obtain all the operation coefficients YX of the welding machine when the welding anomaly coefficient HY ≤ the welding anomaly threshold HYy in the historical data and mark them as the historical operation values, obtain the welding parameters of the welding machine when the historical operation value with the smallest difference from the operation coefficient YX, and send the welding parameters of the welding machine to the parameter adjustment module; among them, the welding parameters of the welding machine include welding current, welding voltage, and welding speed.

8. A wire adaptation method for narrow-gap automatic welding, characterized in that, It includes the following steps: Step 1: The wire bonding monitoring module obtains the pipe contour line, the left welding contour line, and the right welding contour line according to the welding point, and obtains the wire bonding coefficient HX and the pipe welding coefficient HG according to the pipe contour line, the left welding contour line, and the right welding contour line, and sends the wire bonding coefficient HX and the pipe welding coefficient HG to the data analysis module; Step 2: The data analysis module obtains the welding anomaly coefficient HY according to the wire bonding coefficient HX and the pipe welding coefficient HG, and sends the welding anomaly coefficient HY to the wire bonding adaptive platform; Step 3: The wire bonding adaptive platform generates a welding machine monitoring instruction according to the welding anomaly coefficient HY and sends the welding machine monitoring instruction to the welding machine monitoring module.

9. A wire adaption method for narrow-gap automatic welding according to claim 8, characterized in that, It also includes the following steps: Step 4: After receiving the welding machine monitoring instruction, the welding machine monitoring module obtains the operation coefficient YX of the welding machine and sends the operation coefficient YX to the wire bonding adaptive platform; Step 5: The wire bonding adaptive platform obtains the welding parameters of the welding machine according to the operation coefficient YX and sends the welding parameters of the welding machine to the parameter adjustment module.

10. A wire adaption method for narrow-gap automatic welding according to claim 8, characterized in that Step 6: The parameter adjustment module adjusts the parameters of the welding machine according to the welding parameters of the welding machine.

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