A high-precision welding CNC machine tool

Abstract

The present invention discloses a high-precision welding numerical control machine tool, belonging to the field of welding technology, including a welding assembly, and further including a truss assembly and a welding control system; the welding control system includes a prediction unit for generating a risk index of abnormal weld width, a judgment module for judging the risk of abnormal weld width in the current weld width, a welding speed analysis unit for generating a welding speed adjustment value, and a moving speed adjustment module for adjusting the moving speed of the welding assembly according to the welding speed adjustment value; the present invention establishes a welding speed analysis model through the welding speed analysis unit to dynamically adjust the moving speed of the welding assembly. This precise control method effectively solves the problem of unstable weld width control in the prior art and significantly improves the welding quality and production efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of welding, and particularly relates to a high-precision welding numerical control machine tool. Background Art

[0002] Welding technology is an indispensable part of modern manufacturing, and is widely used in many fields such as automobile manufacturing, aerospace, and shipbuilding. Welding joins metals or other thermoplastic materials together by heating and melting them to form a strong joint. With the progress of technology, welding technology has been continuously developed, from traditional arc welding and gas welding to modern laser welding and electron beam welding, etc., and the welding efficiency and precision have been continuously improved.

[0003] In the existing welding technology, especially the development of automation and numerical control welding technology, makes the welding process more precise and efficient. However, despite the significant progress made by the existing technology, there are still many challenges in the field of high-precision welding. For example, in the welding process of traditional welding numerical control machine tools, it is difficult to real-time sense the state changes of the welded parts, such as surface temperature, molten pool depth, etc., resulting in inaccurate control of the weld width and affecting the welding quality. Summary of the Invention

[0004] In view of the deficiencies of the existing technology, the present invention provides a high-precision welding numerical control machine tool to solve the above problems.

[0005] To achieve the above object, the present invention is realized through the following technical solutions: A high-precision welding numerical control machine tool includes a welding component and a base, and the machine tool further includes:

[0006] A truss component, which is connected to the welding component and is used to move the position of the welding component;

[0007] A welding control system, which is communicatively connected to the control end of the truss component and is used to precisely control the moving speed of the welding component;

[0008] Among them, the welding control system specifically includes:

[0009] A prediction unit, which is used to obtain the state data of the welded part and generate a weld width abnormality risk index; among them, the state data includes surface temperature, molten pool depth, and the current weld width evaluation value; the current weld width evaluation value refers to the ratio of the current weld width to the standard weld width; the surface temperature refers to the surface temperature on both sides of the preset weld on the welded part;

[0010] A judgment module, which is used to judge the risk of abnormality of the current weld width according to the weld width abnormality risk index;

[0011] A welding speed analysis unit, configured to obtain the current moving speed of the welding assembly, establish a welding speed analysis model, and generate a welding speed adjustment value;

[0012] A moving speed adjustment module, which is communicatively connected to the control end of the truss assembly, and is configured to adjust the moving speed of the welding assembly according to the welding speed adjustment value;

[0013] The prediction unit specifically includes:

[0014] A temperature analysis module, configured to obtain the surface temperature of the welded part and generate a heat affected zone prediction index;

[0015] A molten pool analysis module, configured to obtain the molten pool depth and generate a molten pool depth prediction index;

[0016] A risk analysis module, configured to establish a risk analysis model according to the weld deviation index and the current weld width evaluation value, substitute the heat affected zone prediction index and the molten pool depth prediction index into the risk analysis model, and generate a weld width abnormal risk index; the weld deviation index refers to the ratio of the difference between the current molten pool position and the preset weld position to the preset weld position.

[0017] Based on the above technical solutions, the present invention further provides the following optional technical solutions:

[0018] Further technical solution: The truss assembly specifically includes:

[0019] A bracket, which is fixedly arranged on one side of the base;

[0020] A moving frame, which is slidably connected to the bracket through a groove formed in the bracket;

[0021] A first threaded rod, which is threadedly connected to the moving frame, and both ends of the first threaded rod are rotatably connected to the bracket.

[0022] Further technical solution: The welding assembly further includes:

[0023] A welding medium supply part, which is fixedly arranged on the moving frame;

[0024] A welding head, which is slidably arranged on one side thereof;

[0025] A medium transmission pipeline, one end of which is connected to the welding medium supply part and the other end of which is connected to the welding head;

[0026] A fourth threaded rod, which is threadedly connected to the welding head, and both ends of the fourth threaded rod are rotatably connected to the moving frame.

[0027] Further technical solution: The temperature analysis module specifically includes:

[0028] A temperature change analysis sub-module, configured to generate a surface temperature change rate according to the historical surface temperature value and the temperature change time point of the welded part;

[0029] A heat affected time analysis sub-module, configured to obtain the heat affected area, the welding point position and the welding point movement speed of the current welding assembly on the welded part, and generate a remaining heat affected time value;

[0030] A final temperature analysis sub-module, configured to generate a final temperature prediction value according to the surface temperature change rate and the remaining heat affected time value;

[0031] A heat affected area prediction index generation sub-module, configured to generate a heat affected area prediction index according to the final temperature prediction value and the minimum value of the standard melting point temperature of the welded part.

[0032] Further technical solution: The molten pool analysis module specifically includes:

[0033] A depth change analysis sub-module, configured to generate a molten pool depth change rate according to the historical molten pool depth of the welded part and the depth change time point;

[0034] A final molten pool depth analysis sub-module, configured to obtain the remaining heat affected time value and generate a final molten pool depth prediction value;

[0035] A molten pool depth prediction index generation sub-module, configured to generate a molten pool depth prediction index according to the final molten pool depth prediction value and the standard molten pool depth.

[0036] Further technical solution: The welding speed analysis unit specifically includes:

[0037] A movement speed acquisition module, configured to acquire the current movement speed of the welding assembly;

[0038] An adjustment analysis module, configured to establish a welding speed analysis model according to the environmental temperature evaluation value and the weld width abnormal risk index, and generate a welding speed adjustment value; the environmental temperature evaluation value refers to the ratio between the current environmental temperature value and the standard working condition temperature.

[0039] The present invention provides a high-precision welding numerical control machine tool, which has the following beneficial effects compared with the prior art:

[0040] By integrating an advanced welding control system, the present invention realizes the real-time perception and analysis of the state data of welded parts. The prediction unit in the welding control system can accurately obtain the surface temperature, molten pool depth, and current weld width evaluation value of the welded part, and generate a weld width abnormality risk index based on these data. The judgment module then judges whether there is an abnormality risk in the current weld width in real time according to the weld width abnormality risk index, and establishes a welding speed analysis model through the welding speed analysis unit to dynamically adjust the moving speed of the welding component. This precise control method effectively solves the problem of unstable weld width control in the prior art, and significantly improves the welding quality and production efficiency. At the same time, the present invention also considers the influence of ambient temperature on the welding process, and further improves the stability and adaptability of the welding process by introducing an ambient temperature evaluation value. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 FIG. is a three-dimensional structural schematic diagram of a high-precision welding numerical control machine tool provided by an embodiment of the present invention.

[0042] Figure 2 FIG. is a structural schematic diagram of a welding component provided by an embodiment of the present invention.

[0043] Figure 3 FIG. is a structural schematic diagram of a clamping component provided by an embodiment of the present invention.

[0044] Figure 4 FIG. is a structural schematic diagram of a welding control system provided by an embodiment of the present invention.

[0045] Annotation of reference numerals in the drawings: 1, base; 2, truss component; 3, clamping component; 4, welding component; 5, welding control system; 201, bracket; 202, moving frame; 203, first threaded rod; 301, lower clamping piece; 302, upper clamping piece; 303, second threaded rod; 304, third threaded rod; 401, welding medium supply piece; 402, welding head; 403, medium transmission pipe; 404, fourth threaded rod. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0047] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0048] Please refer to Figure 1 and Figure 4 , a high-precision welding numerical control machine tool provided by an embodiment of the present invention, includes a base 1 and a welding component 4; the machine tool further includes:

[0049] The truss assembly 2 is connected to the welding assembly 4 and is used to move the position of the welding assembly 4;

[0050] The clamping assembly 3 is connected to the base 1 and is used to maintain the stability of the welded part;

[0051] The welding control system 5 is communicatively connected to the control end of the truss assembly 2 and is used to accurately control the moving speed of the welding assembly 4;

[0052] Wherein, the welding control system 5 specifically includes:

[0053] The prediction unit 10 is used to obtain the state data of the welded part and generate a weld width abnormality risk index; wherein, the state data includes the surface temperature, the molten pool depth, and the current weld width evaluation value; the current weld width evaluation value refers to the ratio of the current weld width to the standard weld width; the surface temperature refers to the surface temperature on both sides of the preset weld on the welded part;

[0054] The judgment module 20 is used to judge the risk of abnormality of the current weld width according to the weld width abnormality risk index;

[0055] The welding speed analysis unit 30 is used to obtain the current moving speed of the welding assembly 4, establish a welding speed analysis model, and generate a welding speed adjustment value;

[0056] The moving speed adjustment module 40 is communicatively connected to the control end of the truss assembly 2 and is used to adjust the moving speed of the welding assembly 4 according to the welding speed adjustment value.

[0057] Please refer to Figure 1 , as a preferred embodiment of the present invention, the truss assembly 2 specifically includes:

[0058] The bracket 201 is fixedly arranged on one side of the base 1;

[0059] The moving frame 202 is slidably connected to the bracket 201 through a groove formed in the bracket 201;

[0060] The first threaded rod 203 is threadedly connected to the moving frame 202, and both ends of the first threaded rod 203 are rotatably connected to the bracket 201;

[0061] Specifically, the first threaded rod 203 is rotated by a servo motor, and the first threaded rod 203 drives the moving frame 202 to perform a linear motion along the groove formed in the bracket 201, so that the moving frame 202 drives the welding assembly 4 to perform a linear motion, realizing the lateral movement of the welding assembly 4.

[0062] Please refer to Figure 2 , as a preferred embodiment of the present invention, the welding assembly 4 further includes:

[0063] A welding medium supply member 401, which is fixedly arranged on the moving frame 202;

[0064] A welding head 402, which is slidably arranged on the moving frame 202;

[0065] A medium transmission pipeline 403, one end of which is connected to the welding medium supply member 401 and the other end of which is connected to the welding head 402;

[0066] A fourth threaded rod 404, which is threadedly connected to the welding head 402, and both ends of the fourth threaded rod 404 are rotatably connected to the moving frame 202;

[0067] Specifically, the fourth threaded rod 404 is rotated by a reciprocating motor, and the fourth threaded rod 404 drives the welding head 402 to perform a linear motion along the chute formed in the moving frame 202, realizing the longitudinal movement of the moving frame 202;

[0068] In this embodiment, if the welding medium supply member 401 is arranged at the central position of the moving frame 202, the length of the medium transmission pipeline 403 is at least half of the maximum length of the moving frame 202 to ensure that the medium transmission pipeline 403 can transmit the medium when the welding head 402 performs longitudinal movement;

[0069] In addition, there are many welding methods, such as gas welding, resistance welding, etc.; the welding method of the welding assembly 4 in the present invention can also be gas welding or resistance welding; taking gas welding as an example, the welding medium supply member 401 can be a gas storage tank, the medium transmission pipeline 403 is a gas transmission pipeline, and the welding head 402 is a gas welding head.

[0070] Please refer to Figure 1 and Figure 3 , as a preferred embodiment of the present invention, the clamping assembly 3 specifically includes:

[0071] A lower clamping member 301, which is slidably arranged on the base 1 through a slideway formed in the base 1;

[0072] an upper clamping member 302, which is slidably arranged on the lower clamping member 301;

[0073] a second threaded rod 303, which is threadedly connected to the lower clamping member 301, and both ends of the second threaded rod 303 are rotatably connected to the base 1;

[0074] a third threaded rod 304, one end of the third threaded rod 304 is rotatably connected to the lower clamping member 301, and the third threaded rod 304 is threadedly connected to the upper clamping member 302;

[0075] Specifically, by rotating the third threaded rod 304, the third threaded rod 304 drives the upper clamping member 302 to perform a linear motion, so that the distance between the upper clamping member 302 and the lower clamping member 301 changes, thereby realizing the clamping of the welded part and preventing the welded part from displacing during welding; in addition, by rotating the second threaded rod 303, the second threaded rod 303 drives the lower clamping member 301 to perform a linear motion, and the lower clamping member 301 drives the upper clamping member 302 and the third threaded rod 304 to perform a linear motion, thereby driving the welded part to perform a linear motion and adjusting the distance between the welded parts so that the welded parts can be welded;

[0076] In this embodiment, the clamping force on the welded part can be set according to the surface state of the welded part. The surface state includes the deformation value of the welded part, the shaking and floating of the welded part, and the resistance to moving the welded part, etc.; in addition, the distance between the welded parts needs to be set according to the welding requirements;

[0077] In addition, a support member can be arranged on one side of the clamping assembly 3 to support the welded part to prevent the welded part from being damaged due to its own gravity or other reasons.

[0078] As a preferred embodiment of the present invention, the prediction unit specifically includes:

[0079] a temperature analysis module, which is used to obtain the surface temperature of the welded part and generate a heat-affected zone prediction index;

[0080] It should be explained that the surface temperature of the welded part refers to the surface temperature value of the welded part on both sides of the weld seam in the area where the welding point is located;

[0081] a molten pool analysis module, which is used to obtain the molten pool depth and generate a molten pool depth prediction index;

[0082] a risk analysis module, which is used to establish a risk analysis model, substitute the heat-affected zone prediction index and the molten pool depth prediction index into the risk analysis model, and generate a weld width abnormal risk index;

[0083] Wherein, the expression of the risk analysis model is:

[0084] ;

[0085] In the expression, K represents the weld width abnormal risk index. It represents the heat affected zone prediction index. It represents the melt pool depth prediction index. It represents the weld deviation index. It represents the current weld width evaluation value, α and β are weight coefficients, and α+β=1; the weld deviation index refers to the ratio of the difference between the current molten pool position and the preset weld position to the preset weld position;

[0086] It should be explained that α and β are set values, and the methods of obtaining their values include expert consultation method, hierarchical analysis method, etc.

[0087] In this embodiment, during the actual welding process, the two sides of the preset weld on the weldment may have the acquired surface temperatures including the molten pool temperature due to the position offset of the weld during the data acquisition process;

[0088] In addition, the current molten pool position and the preset weld position are numerical data. By performing grid management on the surface of the weldment, the previous molten pool position and the preset weld position are converted into numerical data according to the position of the molten pool on the grid and the position of the preset weld on the grid.

[0089] As a preferred embodiment of the present invention, the temperature analysis module specifically includes:

[0090] The temperature change analysis submodule is used to generate the surface temperature change rate based on the historical surface temperature values and temperature change time points of the weldment;

[0091] It should be explained that, in this embodiment, the surface temperature change rate is the mean value, that is, the average value of all surface temperature change rates in the historical data;

[0092] A heat-affected time analysis submodule is used to obtain the heat-affected area, welding point position and welding point moving speed of the welding component 4, and generate a heat-affected time remaining value;

[0093] It should be explained that the welding point moving speed refers to the moving speed of the welding point when the welding assembly 4 welds the weldment;

[0094] The final temperature analysis submodule is used to generate the final temperature prediction value according to the surface temperature change rate and the remaining value of the heat influence time;

[0095] A heat-affected zone prediction index generation sub-module, which is used to generate a heat-affected zone prediction index according to the final temperature prediction value and the minimum value of the standard melting point temperature of the welded part;

[0096] Among them, the generation method of the heat-affected zone prediction index is specifically as follows:

[0097] Through the formula:

[0098] ;

[0099] Generate the heat-affected zone prediction index ;

[0100] In the formula, represents the final temperature prediction value, represents the minimum value of the standard melting point temperature of the welded part;

[0101] It should be explained that the minimum value of the standard melting point temperature of the welded part refers to the lowest temperature value that can liquefy the standard welded part; in addition, the minimum value of the standard melting point temperature of the welded part is a set value, and the specific value needs to be set according to factors such as the material of the welded part.

[0102] As a preferred embodiment of the present invention, the generation method of the final temperature prediction value is specifically as follows:

[0103] Through the formula:

[0104] ;

[0105] Generate the final temperature prediction value ;

[0106] In the formula, represents the current surface temperature, represents the surface temperature change rate, and t represents the remaining value of the heat-affected time.

[0107] As a preferred embodiment of the present invention, the generation method of the remaining value of the heat-affected time is specifically as follows:

[0108] Obtain the welding heat-affected zone according to the current welding strength of the welding assembly 4;

[0109] It should be explained that the current welding strength of the welding assembly 4 refers to the strength of the welding method used by the welding assembly 4; for example, if the welding method is laser welding, the current welding strength of the welding assembly 4 refers to the laser intensity;

[0110] In this embodiment, the welding heat affected zone refers to the area on both sides of the weld on the welded part affected by the heat dissipated from the current welding strength of the welding assembly 4; under standard working conditions, the temperature in this area should be in a state where it does not reach the melting point temperature of the welded part, that is, no molten pool is formed;

[0111] In addition, the welding heat affected zone is generated according to the current welding strength of the welding assembly 4 and the heat transfer coefficient of the welded part. Specifically, the welding heat affected zone can be calculated by a linear regression equation. This technology is prior art and will not be elaborated here;

[0112] Obtain the edge position of the welding heat affected zone and the welding point position, generate the distance value of the welding point from the edge position of the current welding heat affected zone, and label it as the edge distance value;

[0113] Generate the required arrival time, that is, the remaining value of the heat affected time, according to the edge distance value and the moving speed of the welding point; the required arrival time refers to the ratio between the edge distance value and the moving speed of the welding point;

[0114] It should be explained that when the welding point moves, multiple welding heat affected zones will be formed. It is necessary to analyze each welding heat affected zone and the position of the current welding point separately, that is, the position of each welding heat affected zone remains unchanged until the welding point leaves the welding heat affected zone.

[0115] As a preferred embodiment of the present invention, the molten pool analysis module specifically includes:

[0116] A depth change analysis sub-module for generating the molten pool depth change speed according to the historical molten pool depth of the welded part and the depth change time point;

[0117] It should be explained that in this embodiment, the molten pool depth change speed is an average value, that is, the average value of all molten pool depth change speeds in the historical data;

[0118] A final molten pool depth analysis sub-module for obtaining the remaining value of the heat affected time and generating a predicted value of the final molten pool depth;

[0119] A molten pool depth prediction index generation sub-module for generating a molten pool depth prediction index according to the predicted value of the final molten pool depth and the standard molten pool depth;

[0120] Among them, the generation method of the molten pool depth prediction index is specifically as follows:

[0121] Through the formula:

[0122] ;

[0123] Generate the molten pool depth prediction index ;

[0124] In the formula, represents the predicted value of the final molten pool depth, represents the standard molten pool depth;

[0125] It should be explained that the standard molten pool depth is a preset value, which is set by relevant personnel in the field.

[0126] As a preferred embodiment of the present invention, the method for judging the risk of abnormal weld width in the current weld width is specifically as follows:

[0127] Compare the weld width abnormal risk index with the weld width abnormal risk index threshold;

[0128] It should be explained that the weld width abnormal risk index threshold is a set value, and its threshold is set by relevant personnel in the field;

[0129] When the weld width abnormal risk index is less than or equal to the weld width abnormal risk index threshold, it is determined that the risk of abnormal weld width in the current weld width is a low risk; if the weld width abnormal risk index is smaller, the risk of abnormal weld width in the current weld width is lower;

[0130] When the weld width abnormal risk index is greater than the weld width abnormal risk index threshold, it is determined that the risk of abnormal weld width in the current weld width is a high risk; if the weld width abnormal risk index is larger, the risk of abnormal weld width in the current weld width is higher;

[0131] When the risk of abnormal current weld width is a low risk, only relevant personnel need to perform daily maintenance;

[0132] When the risk of abnormal current weld width is a high risk, it is necessary to adjust the welding speed;

[0133] It should be explained that the welding speed refers to the moving speed of the welding point. In this embodiment, the moving speed of the welding component 4 is the same as the welding speed, that is, adjusting the moving speed of the welding component 4 can adjust the moving speed of the welding point.

[0134] As a preferred embodiment of the present invention, the welding speed analysis unit specifically includes:

[0135] A moving speed acquisition module for acquiring the current moving speed of the welding component 4;

[0136] An adjustment analysis module for establishing a welding speed analysis model and generating a welding speed adjustment value;

[0137] Among them, the expression of the welding speed analysis model is:

[0138] ;

[0139] In the expression, represents the welding speed adjustment value, represents the current welding speed, K represents the risk index of abnormal weld width, represents the evaluation value of ambient temperature; the evaluation value of ambient temperature refers to the ratio between the current ambient temperature value and the standard working condition temperature;

[0140] It should be explained that the standard working condition temperature refers to the ambient temperature that does not affect welding. In a low-temperature environment, the cooling rate of the welding metal is usually relatively fast, and the welding speed needs to be appropriately reduced to avoid excessive cooling, ensure more uniform heat input, and allow the weld to solidify at an appropriate speed; on the contrary, in a high-temperature environment, the cooling rate of the welding metal is slow, and the welding speed should be appropriately increased to prevent overheating.

[0141] As a preferred embodiment of the present invention, the adjustment method of the moving speed adjustment module is specifically:

[0142] According to the welding speed adjustment value , adjust the moving speed of the welding assembly 4;

[0143] In this embodiment, the moving speed of the welding assembly 4 is the same as the moving speed of the welding point, that is, the welding speed. By adjusting the moving speed of the welding assembly 4, the welding speed can be adjusted.

[0144] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A high-precision welding numerical control machine tool, comprising a welding assembly (4) and a base (1), characterized in that, The machine tool further includes: A truss assembly (2), which is connected to the welding assembly (4) and is used to move the position of the welding assembly (4); A welding control system (5), which is communicatively connected to the control end of the truss assembly (2) and is used to accurately control the moving speed of the welding assembly (4); Wherein, the welding control system (5) specifically includes: A prediction unit, which is used to obtain the state data of the welded part and generate a risk index of abnormal weld width; wherein, the state data includes the surface temperature, the molten pool depth, and the current weld width evaluation value; the current weld width evaluation value refers to the ratio of the current weld width to the standard weld width; the surface temperature refers to the surface temperature on both sides of the preset weld on the welded part; A judgment module, which is used to judge the risk of abnormal current weld width according to the risk index of abnormal weld width; A welding speed analysis unit, which is used to obtain the current moving speed of the welding assembly (4), establish a welding speed analysis model, and generate a welding speed adjustment value; A moving speed adjustment module, which is communicatively connected to the control end of the truss assembly (2) and is used to adjust the moving speed of the welding assembly (4) according to the welding speed adjustment value; The prediction unit specifically includes: A temperature analysis module, which is used to obtain the surface temperature of the welded part and generate a heat affected zone prediction index; A molten pool analysis module, which is used to obtain the molten pool depth and generate a molten pool depth prediction index; A risk analysis module, which is used to establish a risk analysis model according to the weld deviation index and the current weld width evaluation value, substitute the heat affected zone prediction index and the molten pool depth prediction index into the risk analysis model, and generate a risk index of abnormal weld width; the weld deviation index refers to the ratio of the difference between the current molten pool position and the preset weld position to the preset weld position.

2. The high-precision welding numerical control machine tool according to claim 1, wherein The truss assembly (2) specifically includes: A bracket (201), which is fixedly arranged on one side of the base (1); A moving frame (202), which is slidably connected to the bracket (201) through a groove formed in the bracket (201); A first threaded rod (203), which is threadedly connected to the moving frame (202), and both ends of the first threaded rod (203) are rotatably connected to the bracket (201).

3. The high-precision welding numerical control machine tool according to claim 2, characterized in that, The welding assembly (4) further includes: A welding medium supply part (401), which is fixedly arranged on the moving frame (202); A welding head (402), which is slidably arranged on one side of the moving frame (202); A medium transmission pipeline (403), one end of which is connected to the welding medium supply part (401) and the other end of which is connected to the welding head (402); The fourth threaded rod (404), the fourth threaded rod (404) is threadedly connected to the welding head (402), and both ends of the fourth threaded rod (404) are rotatably connected to the moving frame (202).

4. A high-precision welding numerical control machine tool according to claim 1, characterized in that, The temperature analysis module specifically includes: The temperature change analysis sub-module is used to generate the surface temperature change speed according to the historical surface temperature value and the temperature change time point of the welded part. The heat affected time analysis sub-module is used to obtain the heat affected area, the welding point position and the welding point moving speed of the current welding assembly (4) on the welded part, and generate the remaining value of the heat affected time. The final temperature analysis sub-module is used to generate the final temperature prediction value according to the surface temperature change speed and the remaining value of the heat affected time. The heat affected area prediction index generation sub-module is used to generate the heat affected area prediction index according to the final temperature prediction value and the minimum value of the standard melting point temperature of the welded part.

5. A high-precision welding numerical control machine tool according to claim 1, characterized in that, The molten pool analysis module specifically includes: The depth change analysis sub-module is used to generate the molten pool depth change speed according to the historical molten pool depth and the depth change time point of the welded part. The final molten pool depth analysis sub-module is used to obtain the remaining value of the heat affected time and generate the final molten pool depth prediction value. The molten pool depth prediction index generation sub-module is used to generate the molten pool depth prediction index according to the final molten pool depth prediction value and the standard molten pool depth.

6. A high-precision welding numerical control machine tool according to claim 1, wherein, The welding speed analysis unit specifically includes: The moving speed acquisition module is used to acquire the current moving speed of the welding assembly (4). The adjustment analysis module is used to establish a welding speed analysis model according to the environmental temperature evaluation value and the weld width abnormal risk index, and generate a welding speed adjustment value; the environmental temperature evaluation value refers to the ratio between the current environmental temperature value and the standard working condition temperature.

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