A welding wire self-adapting system and method for narrow-gap automatic welding

Abstract

The present application relates to the technical field of welding, in particular to a kind of welding line self-adaptive system and method of narrow gap automatic welding, for solving the problem that existing welding line cannot be monitored, welding line error is difficult to find and make adaptive adjustment in time, prone to cause welding error to expand, cause economic loss;The welding line self-adaptive system includes the following modules: welding line monitoring module, data analysis module, welding line self-adaptive platform, welding machine monitoring module and parameter adjusting module;The welding line self-adaptive system realizes the automation, high efficiency and precision of narrow gap welding, not only can improve welding quality, but also can improve production efficiency, can monitor and make adjustment in time to abnormal situation, avoid welding error to expand, reduce welding cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of welding, in particular to a welding line self-adaptive system and method for narrow-gap automatic welding. BACKGROUND

[0002] With the development of industrial technology, the requirements for welding process are getting higher and higher, especially for narrow-gap welding. In order to improve the welding technology, the existing production line often needs to control the robot to weld the workpiece by using the position of the mobile robot, which can effectively improve the precision of welding. The patent with the application number CN202211016210.0 discloses a robot self-adaptive welding system for online real-time guidance, specifically relates to the technical field of welding, and comprises a driving arm, an inclined support is installed on the upper surface of the driving arm, and a guidance monitoring mechanism is arranged in the inclined support. The guidance monitoring mechanism comprises a visual sensor arranged in the inclined support, and the output end of the driving arm is connected with a welding head. The visual sensor on the inclined support is guided online by the guidance monitoring mechanism, and the top ultrasonic sensor, the first side ultrasonic sensor, the second side ultrasonic sensor and the bottom ultrasonic sensor are started to sense data to maintain the robot to weld according to the collected data. The driving arm is used for emergency to avoid welding collision and other problems caused by guidance error, the running stability is better, and the safety and reliability are higher. However, there are still the following disadvantages: the welding line cannot be monitored, the welding line error cannot be found and self-adaptive adjustment can be made in time, the welding error is easy to expand, and economic losses are caused. SUMMARY

[0003] In order to overcome the above technical problems, the purpose of the present application is to provide a welding line self-adaptive system and method for narrow-gap automatic welding: a pipe profile line, a left welding profile line and a right welding profile line are obtained from the welding point by the welding line monitoring module, and welding line coefficients and welding pipe coefficients are obtained from the pipe profile line, the left welding profile line and the right welding profile line. The welding abnormality coefficient is obtained from the welding line coefficient and the welding pipe coefficient by the data analysis module. The welding machine monitoring instruction is generated from the welding abnormality coefficient by the welding line self-adaptive platform. The running coefficient of the welding machine is obtained after the welding machine monitoring module receives the welding machine monitoring instruction. The welding machine welding parameter is obtained from the running coefficient by the welding line self-adaptive platform. The welding machine is adjusted in parameters according to the welding machine welding parameter by the parameter adjustment module. The problem that the existing welding line cannot be monitored, the welding line error cannot be found and self-adaptive adjustment can be made in time, the welding error is easy to expand, and economic losses are caused is solved.

[0004] The purpose of the present application can be realized by the following technical solutions:

[0005] A welding line self-adaptive system for narrow-gap automatic welding comprises:

[0006] a welding line monitoring module, configured to obtain a pipe contour line, a left welding contour line and a right welding contour line according to the welding points, and obtain a welding line coefficient HX and a welding pipe coefficient HG according to the pipe contour line, the left welding contour line and the right welding contour line, and send the welding line coefficient HX and the welding pipe coefficient HG to the data analysis module;

[0007] a data analysis module, configured to obtain a welding abnormality coefficient HY according to the welding line coefficient HX and the welding pipe coefficient HG, and send the welding abnormality coefficient HY to the welding line adaptive platform;

[0008] a welding line adaptive platform, configured 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, and obtain a welding machine welding parameter according to a running coefficient YX, and send the welding machine welding parameter to the parameter adjustment module;

[0009] a welding machine monitoring module, configured to obtain a running coefficient YX of the welding machine after receiving the welding machine monitoring instruction, and send the running coefficient YX to the welding line adaptive platform;

[0010] a parameter adjustment module, configured to perform parameter adjustment on the welding machine according to the welding machine welding parameter.

[0011] As a further scheme of the present application, the specific process that the welding line monitoring module obtains the welding line coefficient HX is as follows:

[0012] obtain the difference between the lengths of the left welding contour line and the right welding contour line, and mark it as a length difference CC, obtain the difference between the areas of the patterns surrounded by the left welding contour line and the right welding contour line, and mark it as a surface difference MC, perform quantitative processing on the length difference CC and the surface difference MC, extract the numerical values of the length difference CC and the surface difference MC, and substitute them into the formula to calculate, according to the formula obtain the welding line coefficient HX, wherein h1 and h2 are respectively preset proportion coefficients corresponding to the length difference CC and the surface difference MC, h1 and h2 satisfy h1+h2=1, 0

[0013] As a further scheme of the present application, the specific process that the welding line monitoring module obtains the welding pipe coefficient HG is as follows:

[0014] The left welding contour line is concentrically arranged with the pipe contour line, the maximum distance and the minimum distance between the left welding contour line and the pipe contour line are obtained, and the maximum distance and the minimum distance are marked as a left distance large value ZD and a left distance small value ZX, the difference between the left distance large value ZD and the left distance small value ZX is obtained, and the difference is marked as a left distance value ZJ, the area between the left welding contour line and the pipe contour line is obtained, and the area is marked as a left surface value ZM; the right welding contour line is concentrically arranged with the pipe contour line, the maximum distance and the minimum distance between the right welding contour line and the pipe contour line are obtained, and the maximum distance and the minimum distance are marked as a right distance large value YD and a right distance small value YX, the difference between the right distance large value YD and the right distance small value YX is obtained, and the difference is marked as a right distance value YJ, the area between the right welding contour line and the pipe contour line is obtained, and the area is marked as a right surface value YM; the average value of the left distance value ZJ and the right distance value YJ is obtained, and the average value is marked as an average distance value JJ, the difference between the left surface value ZM and the right surface value YM is obtained, and the difference is marked as a difference surface value CM, the average distance value JJ and the difference surface value CM are quantitatively processed, the numerical values of the average distance value JJ and the difference surface value CM are extracted, and the numerical values are substituted into the formula to calculate, and the welding pipe coefficient HG is obtained according to the formula wherein g1 and g2 are preset proportion coefficients corresponding to the average distance value JJ and the difference surface value CM respectively, g1 and g2 satisfy g1+g2=1, 0

[0015] As a further scheme of the present application, the specific process of obtaining the welding abnormality coefficient HY by the data analysis module is as follows:

[0016] The welding line coefficient HX and the welding pipe coefficient HG are quantitatively processed, the numerical values of the welding line coefficient HX and the welding pipe coefficient HG are extracted, and the numerical values are substituted into the formula to calculate, and the welding abnormality coefficient HY is obtained according to the formula wherein k1 and k2 are preset weight factors corresponding to the welding line coefficient HX and the welding pipe coefficient HG respectively, k1 and k2 satisfy k2>k1>1.352, k1=1.41, and k2=1.79;

[0017] The welding abnormality coefficient HY is sent to the welding line adaptive platform.

[0018] As a further scheme of the present application, the specific process of generating the welding machine monitoring instruction by the welding line adaptive platform is as follows:

[0019] The welding abnormality coefficient HY is compared with a preset welding abnormality threshold HYy:

[0020] If the welding abnormality coefficient HY is greater than the welding abnormality threshold HYy, a welding machine monitoring instruction is generated, and the welding machine monitoring instruction is sent to the welding machine monitoring module.

[0021] As a further scheme of the present application: the specific process that the welding machine monitoring module obtains the operation coefficient YX is as follows:

[0022] After receiving the welding machine monitoring instruction, the vibration times per unit time of the welding machine are obtained, and the vibration times are marked as vibration value ZC; the maximum noise sound intensity per unit time of the welding machine is obtained, and the noise value is marked as ZY; the vibration value ZC and the noise value ZY are quantitatively processed, the values of the vibration value ZC and the noise value ZY are extracted, and the values are substituted into the formula for calculation, according to the formula The operation coefficient YX is obtained, wherein x1 and x2 are respectively preset proportion coefficients corresponding to the vibration value ZC and the noise value ZY, x1 and x2 satisfy x1+x2=1, 0

[0023] The operation coefficient YX is sent to the welding wire adaptive platform.

[0024] As a further scheme of the present application: the specific process that the welding wire adaptive platform obtains the welding machine welding parameters is as follows:

[0025] The operation coefficient 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 is obtained, and the operation coefficient YX is marked as a historical operation value; the welding machine welding parameters when the difference between the operation coefficient YX and the historical operation value is the smallest are obtained, and the welding machine welding parameters are sent to the parameter adjustment module; wherein the welding machine welding parameters include welding current, welding voltage and welding speed.

[0026] As a further scheme of the present application: a welding wire adaptive method for narrow-gap automatic welding, comprising the following steps:

[0027] Step one: the welding wire 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 welding wire coefficient HX and the pipe coefficient HG according to the pipe contour line, the left welding contour line and the right welding contour line, and sends the welding wire coefficient HX and the pipe coefficient HG to the data analysis module; the specific process is as follows:

[0028] The welding wire monitoring module marks the position where the welding starts as the welding point, selects the cross section at the pipe welding point of the welding, and marks the contour line of the outer edge position of the cross section as the pipe contour line;

[0029] The welding wire monitoring module starts welding from the welding point and ends at the welding point to form a welding wire, obtains the contour lines of the two side edge positions of the welding wire, and marks the contour lines as the left welding contour line and the right welding contour line respectively;

[0030] The welding line monitoring module obtains the difference between the lengths of the left welding contour line and the right welding contour line, and marks it as a length difference value CC, obtains the difference between the areas of the patterns surrounded by the left welding contour line and the right welding contour line, and marks it as a surface difference value MC, quantitatively processes the length difference value CC and the surface difference value MC, extracts the numerical values of the length difference value CC and the surface difference value MC, and substitutes them into the formula to calculate, according to the formula obtain a welding line coefficient HX, wherein h1 and h2 are respectively preset proportion coefficients corresponding to the length difference value CC and the surface difference value MC, h1 and h2 satisfy h1+h2=1, 0

[0031] The welding line monitoring module sets the left welding contour line concentrically with 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 a left distance large value ZD and a left distance small value ZX, obtains the difference between the left distance large value ZD and the left distance small value ZX, and marks it as a left distance value ZJ, obtains the area between the left welding contour line and the pipe contour line, and marks it as a left surface value ZM; the right welding contour line is set concentrically with the pipe contour line, the maximum distance and the minimum distance between the right welding contour line and the pipe contour line are obtained, and are marked as a right distance large value YD and a right distance small value YX, the difference between the right distance large value YD and the right distance small value YX is obtained, and is marked as a right distance value YJ, the area between the right welding contour line and the pipe contour line is obtained, and is marked as a right surface value YM; the average value of the left distance value ZJ and the right distance value YJ is obtained, and is marked as an average distance value JJ, the difference between the left surface value ZM and the right surface value YM is obtained, and is marked as a difference surface value CM, the average distance value JJ and the difference surface value CM are quantitatively processed, the numerical values of the average distance value JJ and the difference surface value CM are extracted, and are substituted into the formula to calculate, according to the formula obtain a welding pipe coefficient HG, wherein g1 and g2 are respectively preset proportion coefficients corresponding to the average distance value JJ and the difference surface value CM, g1 and g2 satisfy g1+g2=1, 0

[0032] The welding line monitoring module sends the welding line coefficient HX and the welding pipe coefficient HG to the data analysis module;

[0033] Step two: the data analysis module obtains a welding abnormality coefficient HY according to the welding line coefficient HX and the welding pipe coefficient HG, and sends the welding abnormality coefficient HY to the welding line adaptive platform; the specific process is as follows:

[0034] The data analysis module quantitatively processes the welding line coefficient HX and the welding pipe coefficient HG, extracts the numerical values of the welding line coefficient HX and the welding pipe coefficient HG, and substitutes them into the formula to calculate, according to the formula An abnormal welding coefficient HY is obtained, wherein k1 and k2 are preset weight factors corresponding to welding wire coefficients HX and welding pipe coefficients HG respectively, k1 and k2 satisfy k2>k1>1.352, k1=1.41 and k2=1.79 are taken;

[0035] The data analysis module sends the abnormal welding coefficient HY to the welding wire adaptive platform;

[0036] Step three: the welding wire adaptive platform generates a welding machine monitoring instruction according to the abnormal welding coefficient HY, and sends the welding machine monitoring instruction to the welding machine monitoring module; the specific process is as follows:

[0037] The welding wire adaptive platform compares the abnormal welding coefficient HY with a preset abnormal welding threshold HYy:

[0038] If the abnormal welding coefficient HY>the abnormal welding threshold HYy, a welding machine monitoring instruction is generated and sent to the welding machine monitoring module;

[0039] Step four: the welding machine monitoring module receives the welding machine monitoring instruction, obtains the running coefficient YX of the welding machine, and sends the running coefficient YX to the welding wire adaptive platform; the specific process is as follows:

[0040] The welding machine monitoring module receives the welding machine monitoring instruction, obtains the vibration frequency of the welding machine per unit time, and marks it as the vibration value ZC, obtains the maximum noise sound intensity of the welding machine per unit time, and marks it as the noise value ZY, quantitatively processes the vibration value ZC and the noise value ZY, extracts the numerical value of the vibration value ZC and the noise value ZY, and substitutes it into the formula to calculate, according to the formula The running coefficient YX is obtained, wherein x1 and x2 are preset proportional coefficients corresponding to the vibration value ZC and the noise value ZY respectively, x1+x2=1, 0

[0041] The welding machine monitoring module sends the running coefficient YX to the welding wire adaptive platform;

[0042] Step five: the welding wire adaptive platform obtains the welding machine welding parameters according to the running coefficient YX, and sends the welding machine welding parameters to the parameter adjustment module; the specific process is as follows:

[0043] The welding wire adaptive platform obtains all the running coefficients YX of the welding machine when the abnormal welding coefficient HY≤the abnormal welding threshold HYy in the historical data, and marks it as the historical running value, obtains the welding machine welding parameters when the difference between the running coefficient YX and the historical running value is the smallest, and sends the welding machine welding parameters to the parameter adjustment module; wherein the welding machine welding parameters include welding current, welding voltage and welding speed;

[0044] Step six: the parameter adjustment module adjusts the welding machine according to the welding parameters of the welding machine.

[0045] The beneficial effects of the present application are:

[0046] The welding wire adaptive system and method of the narrow-gap automatic welding of the present application, through the welding wire monitoring module, obtains the pipe profile line, the left welding profile line and the right welding profile line according to the welding points, and obtains the welding wire coefficient and the welding pipe coefficient according to the pipe profile line, the left welding profile line and the right welding profile line, through the data analysis module, obtains the welding abnormality coefficient according to the welding wire coefficient and the welding pipe coefficient, through the welding wire adaptive platform, generates the welding machine monitoring instruction according to the welding abnormality coefficient, after the welding machine monitoring module receives the welding machine monitoring instruction, obtains the running coefficient of the welding machine, through the welding wire adaptive platform, obtains the welding parameters of the welding machine according to the running coefficient, and through the parameter adjustment module, adjusts the parameters of the welding machine according to the welding parameters of the welding machine; the welding wire adaptive system first obtains the pipe profile line, the left welding profile line and the right welding profile line, the pipe profile line represents the profile line without welding wire before welding, while the left welding profile line and the right welding profile line are the profile lines when the welding wire exists, the welding wire coefficient is used to measure the difference degree of the profile lines on both sides of the welding wire, and the greater the welding wire coefficient, the higher the difference degree, the welding pipe coefficient is used to measure the difference degree of the profile lines before and after welding, and the greater the welding pipe coefficient, the higher the difference degree, the welding abnormality coefficient obtained according to the two can comprehensively measure the abnormality degree of the welding wire, and the greater the welding abnormality coefficient, the higher the abnormality degree, which needs adaptive adjustment, then the running coefficient is obtained, the running coefficient is used to measure the state of the welding machine, then the welding parameters of the welding machine are selected according to the running coefficient, and the parameters of the welding machine with welding wire abnormality are adjusted by using the welding parameters of the welding machine, so that the automatic adjustment of the welding machine parameters is realized; the welding wire adaptive system realizes the automation, high efficiency and precision of the narrow-gap welding, which not only can improve the welding quality, but also can improve the production efficiency, can timely monitor and adjust the abnormal situation, avoid the expansion of welding error, and reduce the welding cost. BRIEF DESCRIPTION OF DRAWINGS

[0047] The present application will be further described below in conjunction with the drawings.

[0048] Figure 1 It is the principle block diagram of the welding wire adaptive system of the narrow-gap automatic welding in the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0050] Embodiment 1

[0051] Referring to Figure 1 The embodiment is a welding wire adaptive system for narrow-gap automatic welding, comprising the following modules: a welding wire monitoring module, a data analysis module, a welding wire adaptive platform, a welding machine monitoring module, and a parameter adjustment module.

[0052] The welding wire monitoring module is configured to obtain a pipe profile line, a left welding profile line, and a right welding profile line according to a welding point, and obtain a welding wire coefficient HX and a pipe welding coefficient HG according to the pipe profile line, the left welding profile line, and the right welding profile line, and send the welding wire coefficient HX and the pipe welding coefficient HG to the data analysis module.

[0053] The data analysis module is configured to obtain a welding abnormality coefficient HY according to the welding wire coefficient HX and the pipe welding coefficient HG, and send the welding abnormality coefficient HY to the welding wire adaptive platform.

[0054] The welding wire adaptive platform is configured 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, and is further configured to obtain a welding machine welding parameter according to a running coefficient YX, and send the welding machine welding parameter to the parameter adjustment module.

[0055] The welding machine monitoring module is configured to obtain a running coefficient YX of the welding machine after receiving the welding machine monitoring instruction, and send the running coefficient YX to the welding wire adaptive platform.

[0056] The parameter adjustment module is configured to adjust the parameters of the welding machine according to the welding machine welding parameter.

[0057] Embodiment 2

[0058] The embodiment is a welding wire adaptive method for narrow-gap automatic welding, comprising the following steps:

[0059] Step 1: The welding wire monitoring module obtains a pipe profile line, a left welding profile line, and a right welding profile line according to a welding point, and obtains a welding wire coefficient HX and a pipe welding coefficient HG according to the pipe profile line, the left welding profile line, and the right welding profile line, and sends the welding wire coefficient HX and the pipe welding coefficient HG to the data analysis module. The specific process is as follows:

[0060] The welding wire monitoring module marks the position where welding starts as a welding point, selects the cross section at the pipe welding point, and marks the profile line of the outer edge position of the cross section as a pipe profile line.

[0061] The welding wire monitoring module starts welding from the welding point and ends at the welding point to form a welding wire, obtains the profile lines of the two side edge positions of the welding wire, and marks them as a left welding profile line and a right welding profile line, respectively.

[0062] The welding line monitoring module obtains the difference between the lengths of the left welding contour line and the right welding contour line, and marks it as a length difference value CC, obtains the difference between the areas of the patterns surrounded by the left welding contour line and the right welding contour line, and marks it as a surface difference value MC, quantitatively processes the length difference value CC and the surface difference value MC, extracts the numerical values of the length difference value CC and the surface difference value MC, and substitutes them into the formula to calculate, according to the formula obtains a welding line coefficient HX, wherein h1 and h2 are respectively preset proportion coefficients corresponding to the length difference value CC and the surface difference value MC, h1 and h2 satisfy h1+h2=1, 0

[0063] The welding line monitoring module sets the left welding contour line concentrically with 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 a left distance large value ZD and a left distance small value ZX, obtains the difference between the left distance large value ZD and the left distance small value ZX, and marks it as a left distance value ZJ, obtains the area between the left welding contour line and the pipe contour line, and marks it as a left surface value ZM; sets the right welding contour line concentrically with the pipe contour line, obtains the maximum distance and the minimum distance between the right welding contour line and the pipe contour line, and marks them as a right distance large value YD and a right distance small value YX, obtains the difference between the right distance large value YD and the right distance small value YX, and marks it as a right distance value YJ, obtains the area between the right welding contour line and the pipe contour line, and marks it as a right surface value YM; obtains the average value of the left distance value ZJ and the right distance value YJ, and marks it as an average distance value JJ, obtains the difference between the left surface value ZM and the right surface value YM, and marks it as a difference surface value CM, quantitatively processes the average distance value JJ and the difference surface value CM, extracts the numerical values of the average distance value JJ and the difference surface value CM, and substitutes them into the formula to calculate, according to the formula obtains a welding pipe coefficient HG, wherein g1 and g2 are respectively preset proportion coefficients corresponding to the average distance value JJ and the difference surface value CM, g1 and g2 satisfy g1+g2=1, 0

[0064] The welding line monitoring module sends the welding line coefficient HX and the welding pipe coefficient HG to the data analysis module;

[0065] Step two: the data analysis module obtains a welding abnormality coefficient HY according to the welding line coefficient HX and the welding pipe coefficient HG, and sends the welding abnormality coefficient HY to the welding line self-adaptive platform; the specific process is as follows:

[0066] The data analysis module quantitatively processes the welding line coefficient HX and the welding pipe coefficient HG, extracts the numerical values of the welding line coefficient HX and the welding pipe coefficient HG, and substitutes them into the formula to calculate, according to the formula An abnormal welding coefficient HY is obtained, wherein k1 and k2 are preset weight factors corresponding to welding wire coefficients HX and welding pipe coefficients HG respectively, k1 and k2 satisfy k2>k1>1.352, k1=1.41 and k2=1.79 are taken;

[0067] The data analysis module sends the abnormal welding coefficient HY to the welding wire adaptive platform;

[0068] Step three: the welding wire adaptive platform generates a welding machine monitoring instruction according to the abnormal welding coefficient HY, and sends the welding machine monitoring instruction to the welding machine monitoring module; the specific process is as follows:

[0069] The welding wire adaptive platform compares the abnormal welding coefficient HY with a preset abnormal welding threshold HYy:

[0070] If the abnormal welding coefficient HY>the abnormal welding threshold HYy, a welding machine monitoring instruction is generated and sent to the welding machine monitoring module;

[0071] Step four: the welding machine monitoring module receives the welding machine monitoring instruction, obtains the running coefficient YX of the welding machine, and sends the running coefficient YX to the welding wire adaptive platform; the specific process is as follows:

[0072] The welding machine monitoring module receives the welding machine monitoring instruction, obtains the vibration frequency of the welding machine per unit time, and marks it as the vibration value ZC, obtains the maximum noise sound intensity of the welding machine per unit time, and marks it as the noise value ZY, quantitatively processes the vibration value ZC and the noise value ZY, extracts the numerical value of the vibration value ZC and the noise value ZY, and substitutes it into the formula to calculate, according to the formula The running coefficient YX is obtained, wherein x1 and x2 are preset proportional coefficients corresponding to the vibration value ZC and the noise value ZY respectively, x1+x2=1, 0

[0073] The welding machine monitoring module sends the running coefficient YX to the welding wire adaptive platform;

[0074] Step five: the welding wire adaptive platform obtains the welding machine welding parameters according to the running coefficient YX, and sends the welding machine welding parameters to the parameter adjustment module; the specific process is as follows:

[0075] The welding wire adaptive platform obtains all the running coefficients YX of the welding machine when the abnormal welding coefficient HY≤the abnormal welding threshold HYy in the historical data, and marks them as the historical running values, obtains the welding machine welding parameters when the difference between the running coefficient YX and the historical running value is the smallest, and sends the welding machine welding parameters to the parameter adjustment module; wherein the welding machine welding parameters include welding current, welding voltage and welding speed;

[0076] Step six: the parameter adjustment module adjusts the welding machine according to the welding parameters of the welding machine.

[0077] In the description of the present specification, the description referring to the terms "one embodiment", "an example", "a specific example" and the like 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 application. In the present specification, the illustrative expressions 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 any one or more embodiments or examples in a suitable manner.

[0078] The above is only an example and a description of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or replace them with similar ways, as long as they do not deviate from the invention or exceed the scope defined by the present claims, which shall belong to the protection scope of the present application.

Claims

1. A wire-adaptive system for narrow-gap automatic welding, characterized in that, include: The welding line monitoring module is used to obtain the pipe outline, left weld outline and right weld outline based on the welding point, and to obtain the welding line coefficient HX and weld pipe coefficient HG based on the pipe outline, left weld outline and right weld outline, and send the welding line coefficient HX and weld pipe coefficient HG to the data analysis module. The specific process by which the wire bonding monitoring module obtains the wire bonding coefficient HX is as follows: Obtain the difference between the lengths of the left and right weld outlines and label it as the length difference (CC). Obtain the difference between the areas of the patterns enclosed by the left and right weld outlines and label it as the area difference (MC). Quantize the length difference (CC) and area difference (MC), extract their values, and substitute them into the formula for calculation. The bonding coefficient HX is obtained, where h1 and h2 are the preset proportional coefficients corresponding to the set length difference CC and surface difference MC, respectively. The specific process by which the wire welding monitoring module obtains the weld pipe coefficient HG is as follows: Set the left weld outline concentrically with the pipe outline, obtain the maximum and minimum distances between them, and label them as the maximum left distance ZD and the minimum left distance ZX. Obtain the difference between the maximum left distance ZD and the minimum left distance ZX, and label it as the left distance value ZJ. Obtain the area between the left weld outline and the pipe outline, and label it as the left area value ZM. Set the right weld outline concentrically with the pipe outline, obtain the maximum and minimum distances between them, and label them as the maximum right distance YD and the minimum right distance YD. The smaller value YX is used to obtain the difference between the larger right distance YD and the smaller right distance YX, and this difference is marked as the right distance value YJ. The area between the right weld outline and the pipe outline is obtained and marked as the right surface value YM. The average value of the left distance value ZJ and the right distance value YJ is obtained and marked as the mean distance value JJ. The difference between the left surface value ZM and the right surface value YM is obtained and marked as the difference surface value CM. The mean distance value JJ and the difference surface value CM are quantized, and their values ​​are extracted and substituted into the formula for calculation. The welded pipe coefficient HG is obtained, where g1 and g2 are the preset proportional coefficients corresponding to the set mean distance value JJ and the difference surface value CM, respectively. The data analysis module is used to obtain the welding abnormality coefficient HY based on the welding wire coefficient HX and the welded pipe coefficient HG, and send the welding abnormality coefficient HY to the welding wire adaptive platform. The specific process by which the data analysis module obtains the welding anomaly coefficient HY is as follows: The welding wire coefficient HX and the welded pipe coefficient HG are quantified, and their values ​​are extracted and substituted into the formula for calculation. The welding anomaly coefficient HY is obtained, where k1 and k2 are the preset weighting factors corresponding to the set weld line coefficient HX and weld pipe coefficient HG, respectively. The wire welding adaptive platform is used to generate welding machine monitoring instructions based on the welding anomaly coefficient HY and send the welding machine monitoring instructions to the welding machine monitoring module; it is also used to obtain welding machine welding parameters based on the operating coefficient YX and send the welding machine welding parameters to the parameter adjustment module. The specific process by which the wire bonding adaptive platform obtains welding machine parameters is as follows: The system retrieves all operating coefficients YX of the welding machine from historical data when the welding anomaly coefficient HY ≤ the welding anomaly threshold HYy, and marks them as historical operating values. It then retrieves the welding parameters of the welding machine when the difference between the historical operating value and the operating coefficient YX is the smallest, and sends the welding parameters to the parameter adjustment module. The welding parameters include welding current, welding voltage, and welding speed. The welding machine monitoring module is used to obtain the operating coefficient YX of the welding machine after receiving the welding machine monitoring command, and send the operating coefficient YX to the welding line adaptive platform; The specific process by which the welding machine monitoring module obtains the operating coefficient YX is as follows: Upon receiving the welding machine monitoring command, the number of vibrations per unit time is obtained and marked as the vibration frequency value ZC. The maximum noise intensity per unit time is obtained and marked as the noise value ZY. The vibration frequency value ZC and the noise value ZY are quantified, their values ​​are extracted, and then substituted into the formula for calculation. The operating coefficient YX is obtained, where x1 and x2 are the preset proportional coefficients corresponding to the set vibration value ZC and noise value ZY, respectively; The parameter adjustment module is used to adjust the parameters of the welding machine according to the welding parameters of the welding machine.

2. The wire-adaptive system for narrow-gap automatic welding according to claim 1, characterized in that, The specific process by which the wire bonding adaptive platform generates welding machine monitoring instructions is as follows: The welding anomaly coefficient HY is compared with the preset welding anomaly threshold HYy: If the welding abnormality coefficient HY > the welding abnormality threshold HYy, then a welding machine monitoring command is generated and sent to the welding machine monitoring module.

3. A wire adaptive method for narrow-gap automatic welding executed by the wire adaptive system for narrow-gap automatic welding according to any one of claims 1-2, characterized in that, Includes the following steps: Step 1: The welding line monitoring module obtains the pipe outline, left weld outline, and right weld outline based on the welding point, and obtains the welding line coefficient HX and weld pipe coefficient HG based on the pipe outline, left weld outline, and right weld outline, and sends the welding line coefficient HX and weld pipe coefficient HG to the data analysis module. Step 2: The data analysis module obtains the welding anomaly coefficient HY based on the welding wire coefficient HX and the welded pipe coefficient HG, and sends the welding anomaly coefficient HY to the welding wire adaptive platform; Step 3: The welding wire adaptive platform generates welding machine monitoring instructions based on the welding anomaly coefficient HY and sends the welding machine monitoring instructions to the welding machine monitoring module.

4. The adaptive welding wire method for narrow-gap automatic welding according to claim 3, characterized in that, It also includes the following steps: Step 4: After receiving the welding machine monitoring command, the welding machine monitoring module obtains the operating coefficient YX of the welding machine and sends the operating coefficient YX to the welding line adaptive platform; Step 5: The welding line adaptive platform obtains the welding machine parameters based on the operating coefficient YX and sends the welding machine parameters to the parameter adjustment module.

5. The adaptive welding wire method for narrow-gap automatic welding according to claim 3, characterized in that, Step Six: The parameter adjustment module adjusts the welding machine parameters according to the welding parameters of the welding machine.

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