A global digital quality monitoring and management system, method and medium

Abstract

The present invention relates to the field of digital monitoring and management technology, and specifically to a global digital quality monitoring and management system, method and medium. The system of the present invention realizes all-round, digital monitoring of the welding process from data collection, analysis to parameter adjustment through a three-layer architecture design of a data acquisition layer, a data analysis layer and a management control layer, greatly improving the controllability and traceability of welding quality. Secondly, the system uses advanced image processing technology and data analysis algorithms to accurately evaluate the quality of welds, which not only improves the accuracy of the evaluation, but also realizes the quantitative grading of weld quality, providing strong support for the continuous improvement of welding quality.

Description

Technical Field

[0001] The present invention relates to the technical field of digital monitoring and management, in particular to a global digital quality monitoring and management system, method and medium. Background Art

[0002] With the development of industrial automation, automation equipment has been widely used in various fields. As a common automation equipment, automatic arc welding robots are widely used in machinery, electronics, automobile and other industries.

[0003] Patent CN221364805U discloses an electrical automated welding industrial robot, including a welding robot body, a visual positioning camera and an adjustment component, wherein the adjustment component is hinged with the welding robot body, the adjustment component rotates around the welding robot body, and the visual positioning camera is connected to the adjustment component, so that the visual positioning camera is away from the welding gun, avoiding the visual positioning camera from being affected by high temperature. At the same time, the adjustment component avoids the sparks flying during the welding process by changing the position of the visual positioning camera, thereby preventing the visual positioning camera from being damaged. In this patent, the welding position is confirmed by the visual positioning camera, thereby improving the accuracy of welding. In the actual welding process, in addition to using the visual positioning camera to determine the welding position, it is also necessary to evaluate the quality of the weld to further confirm whether the welding accuracy meets the requirements and whether the welding position and parameters need to be adjusted. However, the above-mentioned prior art only records the determination of the early welding position, and does not record the adjustment of the subsequent welding position, which makes it difficult to quickly adjust and remedy when the welding quality is reduced, so a solution is urgently needed. Summary of the invention

[0004] In order to avoid and overcome the technical problems existing in the prior art, the present invention provides a global digital quality monitoring and management system, method and medium. The present invention can make a preliminary judgment on the quality of the weld so as to adjust the welding parameters in time and further reduce the negative impact caused by the deterioration of the weld quality.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A global digital quality monitoring and management system includes a data acquisition layer, a data analysis layer, and a management control layer; the data acquisition layer is used to obtain historical weld data in historical welding processes and real-time weld data in current welding processes; the data analysis layer compares and analyzes historical weld data and real-time weld data, and evaluates weld quality based on the comparison and analysis results; the management control layer adjusts the welding parameters of an arc welding robot accordingly based on the weld quality evaluation results.

[0007] As a further solution of the present invention: the data acquisition layer includes a camera unit, a data recording unit, and a data sorting unit installed at a set position in the arc welding robot; the camera unit shoots the historical welds and real-time welds after welding is completed to obtain the corresponding historical weld images and real-time weld images, and store them in the data recording unit. At the same time, the data recording unit also records the welding parameters corresponding to the historical weld images and the real-time weld images; the data sorting unit obtains the data recorded in the data recording unit, and stores the historical weld images and real-time weld images under the same welding parameters in the same weld data set at the same time, thereby establishing multiple weld data sets.

[0008] As a further solution of the present invention: the data analysis layer includes a historical weld analysis module, a real-time weld analysis module, and a weld comparison module; the historical weld analysis module analyzes the historical weld images in the weld database and defines the weld quality evaluation standard; the real-time weld analysis module analyzes the real-time weld images in the weld database to determine the real-time weld position; the weld comparison module refers to the weld quality evaluation standard and evaluates the weld quality in combination with the real-time weld boundary.

[0009] A global digital quality monitoring and management method, the global digital quality monitoring and management method using the above-mentioned global digital quality monitoring and management system, including the following steps:

[0010] S1. Use the data acquisition layer to obtain real-time weld data;

[0011] S2. Use the data analysis layer to analyze the real-time weld data acquired by the data acquisition layer, and determine the corresponding weld quality;

[0012] S3. Use the management control layer to adjust the welding parameters of the arc welding robot according to the weld quality.

[0013] As a further solution of the present invention: the process of processing data by the historical weld analysis module is as follows: first, the historical weld analysis module extracts all historical weld images in the current weld database and places them in the same plane rectangular coordinate system; at the same time, the joints of two parent materials in each historical weld image are made to coincide with the Y-axis; then, the two weld toe curves in each historical weld image are vertically projected in the plane rectangular coordinate system, and the weld toe curve projection image in the plane rectangular coordinate system is divided into a left area and a right area with the Y-axis as the dividing line; left area: first, the average value of all weld toe curves in the left area is counted, and the average value is calculated in The curve formed in the plane rectangular coordinate system is recorded as the left average weld toe curve; at the same time, the average value of all weld toe curves between the left average weld toe curve and the Y axis is calculated, and the weld toe curve formed by the average value in the plane rectangular coordinate system is recorded as the left minimum average weld toe curve; the average value of all weld toe curves located on the left side of the left average weld toe curve is calculated, and the weld toe curve formed by the average value in the plane rectangular coordinate system is recorded as the left maximum average weld toe curve; then, the weld toe curve located on the far left in the left area is obtained, and the weld toe curve is recorded as the left maximum weld toe curve; at the same time, the weld toe curve located on the far right in the left area is obtained, and the weld toe curve is recorded as the left maximum weld toe curve; The weld toe curve is recorded as the minimum weld toe curve on the left; then the area between the maximum weld toe curve on the left and the maximum average weld toe curve on the left is recorded as the left expansion area, the area between the maximum average weld toe curve on the left and the minimum average weld toe curve on the left is recorded as the left standard area, and the area between the minimum average weld toe curve on the left and the minimum weld toe curve on the left is recorded as the left reduction area; the right area: is processed in the same way as the left area to obtain the corresponding minimum average weld toe curve on the right, the average weld toe curve on the right, the maximum average weld toe curve on the right, the right expansion area, the right standard area and the right reduction area; finally, the weld quality evaluation standard is defined: The welds whose weld toe curves on both sides are located in the standard area of ​​the corresponding side are recorded as first-level welds; the welds whose weld toe curves on both sides are located in the expansion area or reduction area of ​​the corresponding side are recorded as second-level welds; the welds whose weld toe curve on one side is located in the expansion area of ​​that side and the weld toe curve on the other side is located in the reduction area or expansion area of ​​the opposite side are recorded as third-level welds; the welds whose weld toe curve on either side is located outside the expansion area of ​​that side, between the minimum weld toe curve on that side and the Y-axis, or in the area of ​​the opposite side are recorded as poor welds; the order of weld quality from high to low is: first-level weld, second-level weld, third-level weld and poor weld.

[0014] As a further solution of the present invention: obtaining a dividing line in the left area of ​​the current weld database for dividing the outer blank area and the curve area, the dividing line is the outermost weld toe curve in the left area or a curve formed by staggering multiple outer weld toe curves, and the dividing line is the left maximum weld toe curve; obtaining a dividing line in the left area of ​​the current weld database for dividing the inner blank area and the curve area, the dividing line is the innermost weld toe curve in the left area or a curve formed by staggering multiple inner weld toe curves, and the dividing line is the left minimum weld toe curve; similarly, the right maximum weld toe curve and the right minimum weld toe curve can be obtained.

[0015] As a further solution of the present invention: the process of real-time weld analysis module processing data is as follows: the real-time weld analysis module obtains the real-time weld image in the current weld database, and places the real-time weld image in the plane rectangular coordinate system corresponding to the current weld database, and at the same time, the weld toe curves on both sides of the real-time weld image are vertically projected in the plane rectangular coordinate system to determine the real-time weld positions of the two weld toe curves in the plane rectangular coordinate system, that is, the area where the weld toe curves are located.

[0016] As a further solution of the present invention: the specific process of processing data by the weld comparison module is as follows: the weld comparison module obtains the real-time weld position obtained by the real-time weld analysis module, and evaluates the quality of the weld in the real-time weld image corresponding to the real-time weld position in combination with the weld quality evaluation standard.

[0017] As a further solution of the present invention: the specific process of the management and control layer processing data is as follows: the weld quality evaluation result obtained by the weld comparison module is obtained; if the weld quality is a first-level weld, a second-level weld or a third-level weld, the arc welding robot continues welding according to the current welding parameters; if the weld quality is a bad weld, the fault judgment rule is used to judge whether the arc welding robot continues welding according to the current welding parameters; the fault judgment rule is expressed as follows: if the weld toe curve on either side of the weld appears in the opposite side area, the arc welding robot needs to be stopped immediately and its The parameters are adjusted accordingly until the weld quality is a first-level weld, a second-level weld or a third-level weld; if the weld toe curve on one side of the weld completely or partially exceeds the maximum weld toe curve on that side or exceeds the minimum weld toe curve on that side, the excess ratio of the curve length of the exceeding part of the current weld toe curve to the length of the weld toe curve is calculated. If the excess ratio is greater than the set threshold, the arc welding robot needs to be stopped immediately and its parameters are adjusted accordingly until the weld quality is a first-level weld, a second-level weld or a third-level weld; otherwise, the arc welding robot continues welding according to the current welding parameters.

[0018] A global digital quality monitoring and management medium includes stored computer-readable program instructions, and the computer-readable program instructions are used to control a processor to execute the above-mentioned global digital quality monitoring and management method.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] First, the system of the present invention realizes all-round and digital monitoring of the welding process from data collection, analysis to parameter adjustment through the three-layer architecture design of data acquisition layer, data analysis layer and management control layer, which greatly improves the controllability and traceability of welding quality. Secondly, the system uses advanced image processing technology and data analysis algorithms to accurately evaluate the quality of welds, which not only improves the accuracy of evaluation, but also realizes the quantitative grading of weld quality, providing strong support for the continuous improvement of welding quality.

[0021] In addition, the system is highly flexible and intelligent. The management and control layer can automatically adjust the welding parameters of the arc welding robot according to the weld quality evaluation results, thereby ensuring the stability and consistency of the welding quality. At the same time, the system also sets fault judgment rules, which can promptly issue an alarm and adjust the welding parameters when the weld quality is abnormal, effectively avoiding the occurrence of welding defects and reducing production risks and costs.

[0022] Finally, the present invention also provides a global digital quality monitoring and management method and medium, so that this advanced monitoring and management system can be more widely used in various occasions requiring welding quality monitoring, providing strong technical support for improving welding quality and production efficiency and promoting the digital transformation and upgrading of the manufacturing industry.

[0023] In summary, the global digital quality monitoring and management system, method and medium of the present invention have significant advantages and broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the system structure in the present invention.

[0025] Figure 2 It is a projection schematic diagram of the weld toe curve in the present invention.

[0026] Figure 3 It is a schematic diagram of forming the maximum weld toe curve in the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] See also Figure 1 In an embodiment of the present invention, a global digital quality monitoring system includes a data acquisition layer, a data analysis layer, and a management control layer. Data acquisition layer: used to acquire historical weld data in historical welding processes and real-time weld data in current welding processes. Data analysis layer: compare and analyze historical weld data and real-time weld data, and evaluate weld quality based on the comparison and analysis results. Management control layer: based on the weld quality evaluation results, adjust the welding parameters of the arc welding robot accordingly.

[0029] A global digital quality monitoring and management method, which applies the above system, comprises the following steps:

[0030] S1. Use the data acquisition layer to obtain real-time weld data.

[0031] S2. Use the data analysis layer to analyze the real-time weld data acquired by the data acquisition layer and determine the corresponding weld quality.

[0032] S3. Use the management control layer to adjust the welding parameters of the arc welding robot according to the weld quality.

[0033] A global digital quality monitoring and management medium includes stored computer-readable program instructions, and the computer-readable program instructions are used to control a processor to execute the above method.

[0034] The method in the present invention is a guide for the use of the system, and the medium can convert the method into a corresponding computer language, and call and execute it through a corresponding control processor, thereby completing the corresponding weld quality evaluation work.

[0035] The data acquisition layer includes a camera unit installed at a set position in the arc welding robot, a data recording unit, and a data sorting unit.

[0036] The camera unit takes pictures of the historical welds and real-time welds after welding is completed to obtain the corresponding historical weld images and real-time weld images, and stores them in the data recording unit. At the same time, the data recording unit also records the welding parameters corresponding to the historical weld images and real-time weld images. The data sorting unit obtains the data recorded in the data recording unit, and stores the historical weld images and real-time weld images under the same welding parameters in the same weld data set at the same time, thereby establishing multiple weld data sets.

[0037] The welding parameters mainly considered in this embodiment are welding voltage and welding inclination angle. The reason is that the size of the welding voltage directly affects the width of the weld. If the welding voltage is too large, overheating is likely to occur, which in turn causes the width of the weld to increase, and the problem of over-welding is likely to occur; on the contrary, if the temperature is not enough, the width of the weld becomes smaller, and the problem of cold welding is likely to occur. At the same time, the welding inclination angle will determine the degree of deviation of the weld. The commonly used welding inclination angle is basically 90 degrees, that is, the welding gun will not tilt left or right, and there will only be a situation of tilting forward and backward, which will not cause the weld to deviate. However, once the left or right tilt is too large, the position of the weld will deviate to the opposite side, which will cause uneven welding and pose a safety hazard.

[0038] The data analysis layer includes a historical weld analysis module, a real-time weld analysis module, and a weld comparison module.

[0039] Historical weld analysis module: Analyze the historical weld images in the weld database and define the weld quality evaluation standards; the specific contents are as follows:

[0040] First, the historical weld analysis module extracts all historical weld images in the current weld database and places them in the same plane rectangular coordinate system; at the same time, the joints of the two parent materials in each historical weld image are made to coincide with the Y axis.

[0041] Then, the two weld toe curves in each historical weld image are vertically projected in the plane rectangular coordinate system O-XY, and the weld toe curve projection image in the plane rectangular coordinate system is divided into the left area and the right area with the Y axis as the dividing line. Figure 2 As shown, Figure 2 The thick black solid line in the figure represents the weld toe curve.

[0042] Left area: First, the average values ​​of all weld toe curves in the left area are calculated, and the curve formed by the average value in the plane rectangular coordinate system is recorded as the left average weld toe curve. At the same time, the average values ​​of all weld toe curves between the left average weld toe curve and the Y axis are calculated, and the weld toe curve formed by the average value in the plane rectangular coordinate system is recorded as the left minimum average weld toe curve. The average values ​​of all weld toe curves located to the left of the left average weld toe curve are calculated, and the weld toe curve formed by the average value in the plane rectangular coordinate system is recorded as the left maximum average weld toe curve. Then, the weld toe curve located on the far left in the left area is obtained, and the weld toe curve is recorded as the left maximum weld toe curve; at the same time, the weld toe curve located on the far right in the left area is obtained, and the weld toe curve is recorded as the left minimum weld toe curve. Then, the area between the left maximum weld toe curve and the left maximum average weld toe curve is recorded as the left expansion area, the area between the left maximum average weld toe curve and the left minimum average weld toe curve is recorded as the left standard area, and the area between the left minimum average weld toe curve and the left minimum weld toe curve is recorded as the left reduction area.

[0043] Right area: It is divided in the same way as the left area to obtain the corresponding right minimum average weld toe curve, right average weld toe curve, right maximum average weld toe curve, right expansion area, right standard area and right reduction area.

[0044] like Figure 3 As shown in , the boundary line used to separate the outer blank area and the curve area in the left area of ​​the current weld database is obtained. The boundary line is the outermost weld toe curve in the left area or a curve formed by staggered splicing of multiple outer weld toe curves. The boundary line is the maximum weld toe curve on the left, such as Figure 3 The curve formed by the combination of the two weld toe curves is bolded and blackened to be presented separately for a more vivid representation. Get the dividing line used to separate the inner blank area and the curve area in the left area of ​​the current weld database. The dividing line is the innermost weld toe curve in the left area or a curve formed by the staggered combination of multiple inner weld toe curves. The dividing line is the minimum weld toe curve on the left. Similarly, the maximum weld toe curve and the minimum weld toe curve on the right can be obtained.

[0045] Finally, the weld quality evaluation standard was defined: welds whose weld toe curves on both sides are located in the standard area of ​​the corresponding side are recorded as first-level welds; welds whose weld toe curves on both sides are located in the expansion area or reduction area of ​​the corresponding side are recorded as second-level welds; welds whose weld toe curve on one side is located in the expansion area of ​​that side and the weld toe curve on the other side is located in the reduction area or expansion area of ​​the opposite side are recorded as third-level welds; welds whose weld toe curve on either side is located outside the expansion area of ​​that side, whose weld toe curve on either side is located between the minimum weld toe curve on that side and the Y-axis, or whose weld toe curve on either side is located in the area on the opposite side are recorded as poor welds; the order of weld quality from high to low is: first-level welds, second-level welds, third-level welds and poor welds.

[0046] Real-time weld analysis module: Analyze the real-time weld image in the weld database to determine the real-time weld position; the specific process is as follows:

[0047] The real-time weld analysis module obtains the real-time weld image in the current weld database, and places the real-time weld image in the plane rectangular coordinate system corresponding to the current weld database. At the same time, the weld toe curves on both sides of the real-time weld image are vertically projected in the plane rectangular coordinate system to determine the real-time weld positions of the two weld toe curves in the plane rectangular coordinate system, that is, the area where the weld toe curves are located.

[0048] Weld comparison module: Refer to the weld quality evaluation standard and evaluate the weld quality in combination with the real-time weld boundary; the specific process is as follows:

[0049] The weld comparison module obtains the real-time weld position obtained by the real-time weld analysis module, and evaluates the quality of the weld in the real-time weld image corresponding to the real-time weld position in combination with the weld quality evaluation standard.

[0050] The specific process of data processing in the management control layer is as follows: obtain the weld quality evaluation result obtained by the weld comparison module; if the weld quality is a first-level weld, a second-level weld, or a third-level weld, the arc welding robot continues welding according to the current welding parameters. If the weld quality is a bad weld, the fault judgment rule is used to determine whether the arc welding robot continues welding according to the current welding parameters.

[0051] The fault judgment rule is as follows: If the weld toe curve on either side of the weld appears in the opposite side area, that is, the weld toe curve on the left side of the weld appears in the right side area or the weld toe curve on the right side of the weld appears in the left side area, it indicates that the weld is seriously offset at this time, and the arc welding robot needs to be stopped immediately and its welding inclination angle is corrected until the weld is reset and the weld quality is a first-level weld, a second-level weld or a third-level weld. If the weld toe curve on one side of the weld appears to fully or partially exceed the maximum weld toe curve on that side or the minimum weld toe curve on that side, the excess ratio of the curve length of the current weld toe curve to the length of the weld toe curve is calculated. If the excess ratio is greater than the set threshold, the set threshold used in this embodiment is 5%. The reason why the weld toe curve crosses the line is that during the welding process, the welding voltage is unstable, increases or decreases at certain time points, and then causes the weld toe curve to appear wavy. When a wavy weld toe curve appears, in order to further avoid the continuation of the wavy line, the arc welding robot needs to be stopped immediately and the welding voltage needs to be stabilized, such as adding a voltage stabilizer, until the wavy line disappears and the weld quality is a first-level weld, a second-level weld or a third-level weld; otherwise, the arc welding robot continues welding according to the current welding parameters.

[0052] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A global digital quality monitoring and management method, characterized in that: The following steps are performed using a system including a data acquisition layer, a data analysis layer, and a management control layer: S1. Use the data acquisition layer to obtain real-time weld data; S2. Use the data analysis layer to analyze the real-time weld data acquired by the data acquisition layer, and determine the corresponding weld quality; S3, using the management control layer to adjust the welding parameters of the arc welding robot accordingly according to the weld quality; The specific process of data processing in the management and control layer is as follows: obtain the weld quality evaluation result obtained by the weld comparison module in the data analysis layer; if the weld quality is a first-level weld, a second-level weld or a third-level weld, the arc welding robot continues welding according to the current welding parameters; if the weld quality is a bad weld, the fault judgment rule is used to judge whether the arc welding robot continues welding according to the current welding parameters; the fault judgment rule is expressed as follows: if the weld toe curve on either side of the weld appears in the opposite side area, the arc welding robot needs to be stopped immediately and its parameters must be adjusted. Corresponding adjustments are made until the weld quality is a first-level weld, a second-level weld or a third-level weld; if the weld toe curve on one side of the weld completely or partially exceeds the maximum weld toe curve on that side or exceeds the minimum weld toe curve on that side, the excess ratio of the curve length of the exceeding part of the current weld toe curve to the length of the weld toe curve is calculated. If the excess ratio is greater than the set threshold, the arc welding robot needs to be stopped immediately and its parameters are adjusted accordingly until the weld quality is a first-level weld, a second-level weld or a third-level weld; otherwise, the arc welding robot continues welding according to the current welding parameters.

2. A global digital quality monitoring and management method according to claim 1, characterized in that: The data acquisition layer includes a camera unit, a data recording unit, and a data sorting unit installed at a set position in the arc welding robot; the camera unit shoots the historical welds and real-time welds after welding is completed to obtain the corresponding historical weld images and real-time weld images, and stores them in the data recording unit. At the same time, the data recording unit also records the welding parameters corresponding to the historical weld images and real-time weld images; the data sorting unit obtains the data recorded in the data recording unit, and stores the historical weld images and real-time weld images under the same welding parameters in the same weld data set at the same time, thereby establishing multiple weld data sets.

3. A global digital quality monitoring and management method according to claim 2, characterized in that: The data analysis layer includes a historical weld analysis module, a real-time weld analysis module, and a weld comparison module; the historical weld analysis module analyzes the historical weld images in the weld database and defines the weld quality evaluation standards; the real-time weld analysis module analyzes the real-time weld images in the weld database to determine the real-time weld position; the weld comparison module refers to the weld quality evaluation standards and evaluates the weld quality in combination with the real-time weld boundaries.

4. A global digital quality monitoring and management method according to claim 3, characterized in that: The specific process of processing data using the historical weld analysis module in the data analysis layer is as follows: First, the historical weld analysis module extracts all historical weld images in the current weld database and places them in the same plane rectangular coordinate system; at the same time, the joints of the two parent materials in each historical weld image are made to coincide with the Y-axis; then, the two weld toe curves in each historical weld image are plumb projected in the plane rectangular coordinate system, and the weld toe curve projection image in the plane rectangular coordinate system is divided into a left area and a right area with the Y-axis as the dividing line; left area: first, the average value of all weld toe curves in the left area is calculated, and the average value is plotted on the plane rectangular coordinate system. The curve formed in the rectangular coordinate system is recorded as the left average weld toe curve; at the same time, the average value of all weld toe curves between the left average weld toe curve and the Y axis is calculated, and the weld toe curve formed by the average value in the plane rectangular coordinate system is recorded as the left minimum average weld toe curve; the average value of all weld toe curves located on the left side of the left average weld toe curve is calculated, and the weld toe curve formed by the average value in the plane rectangular coordinate system is recorded as the left maximum average weld toe curve; then the weld toe curve located on the far left in the left area is obtained, and the weld toe curve is recorded as the left maximum weld toe curve; at the same time, the weld toe curve located on the far right in the left area is obtained, and the weld toe curve is recorded as the left maximum weld toe curve; The curve is recorded as the left minimum weld toe curve; then the area between the left maximum weld toe curve and the left maximum average weld toe curve is recorded as the left expansion area, the area between the left maximum average weld toe curve and the left minimum average weld toe curve is recorded as the left standard area, and the area between the left minimum average weld toe curve and the left minimum weld toe curve is recorded as the left reduction area; the right area: the same division method as the left area is used to obtain the corresponding right minimum average weld toe curve, right average weld toe curve, right maximum average weld toe curve, right expansion area, right standard area and right reduction area; finally, the weld quality evaluation standard is defined: the two areas are divided into The weld whose weld toe curves on both sides are located in the standard area of ​​the corresponding side is recorded as a first-level weld; the weld whose weld toe curves on both sides are located in the expansion area or reduction area of ​​the corresponding side is recorded as a second-level weld; the weld whose weld toe curve on one side is located in the expansion area of ​​that side and the weld toe curve on the other side is located in the reduction area or expansion area of ​​the opposite side is recorded as a third-level weld; the weld whose weld toe curve on any side is located outside the expansion area of ​​that side, between the minimum weld toe curve on that side and the Y-axis, or in the area of ​​the opposite side is recorded as a bad weld; the order of weld quality from high to low is: first-level weld, second-level weld, third-level weld and bad weld.

5. A global digital quality monitoring and management method according to claim 4, characterized in that: Obtain a dividing line in the left area of ​​the current weld database for dividing the outer blank area and the curve area. The dividing line is the outermost weld toe curve in the left area or a curve formed by staggering multiple outer weld toe curves. The dividing line is the maximum weld toe curve on the left. Obtain a dividing line in the left area of ​​the current weld database for dividing the inner blank area and the curve area. The dividing line is the innermost weld toe curve in the left area or a curve formed by staggering multiple inner weld toe curves. The dividing line is the minimum weld toe curve on the left. Similarly, the maximum weld toe curve on the right and the minimum weld toe curve on the right can be obtained.

6. A global digital quality monitoring and management method according to claim 5, characterized in that: The process of processing data using the real-time weld analysis module in the data analysis layer is as follows: the real-time weld analysis module obtains the real-time weld image in the current weld database, and places the real-time weld image in the plane rectangular coordinate system corresponding to the current weld database, and at the same time, the weld toe curves on both sides of the real-time weld image are vertically projected into the plane rectangular coordinate system to determine the real-time weld positions of the two weld toe curves in the plane rectangular coordinate system, that is, the area where the weld toe curves are located.

7. A global digital quality monitoring and management method according to claim 6, characterized in that: The specific process of processing data using the weld comparison module in the data analysis layer is as follows: the weld comparison module obtains the real-time weld position obtained by the real-time weld analysis module, and evaluates the quality of the weld in the real-time weld image corresponding to the real-time weld position in combination with the weld quality evaluation standard.

8. A computer-readable storage medium, characterized in that: The invention comprises stored computer-readable program instructions, wherein the computer-readable program instructions are used to control a processor to execute a global digital quality monitoring and management method as claimed in claim 7.

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