CN112045327A - Pipeline welding method and device - Google Patents
Pipeline welding method and device Download PDFInfo
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- CN112045327A CN112045327A CN202010823816.XA CN202010823816A CN112045327A CN 112045327 A CN112045327 A CN 112045327A CN 202010823816 A CN202010823816 A CN 202010823816A CN 112045327 A CN112045327 A CN 112045327A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/02—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to soldering or welding
- B23K31/027—Making tubes with soldering or welding
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
- B23K31/125—Weld quality monitoring
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K2101/00—Articles made by soldering, welding or cutting
- B23K2101/04—Tubular or hollow articles
- B23K2101/06—Tubes
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- Engineering & Computer Science (AREA)
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- Optics & Photonics (AREA)
- Quality & Reliability (AREA)
- Butt Welding And Welding Of Specific Article (AREA)
Abstract
The invention discloses a pipeline welding method and a device, wherein the method comprises the following steps: acquiring physical characteristic parameters of a base material of a pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters; inputting the physical characteristic parameters into a preset weld shape prediction model so that the weld shape prediction model outputs predicted shape parameters of a weld to be generated according to the physical characteristic parameters; determining a reference welding process parameter according to the predicted shape parameter of the welding line to be generated; and controlling a welding mechanism to weld according to the reference welding process parameters. By implementing the embodiment of the invention, the problem that the quality of the welding seam is finally influenced due to unreasonable setting of welding process parameters caused by insufficient experience of welding personnel can be solved.
Description
Technical Field
The invention relates to the technical field of welding, in particular to a pipeline welding method and device.
Background
With the improvement of the manufacturing level of steel pipes and welding technology, the construction of large-diameter pipelines is more and more, and in the process of expanding the laying scale of pipelines, welding is used as an important way for connecting new and old pipelines, so that the welding plays an extremely important role in the future use of the pipelines.
The setting of welding process parameters needs to be carried out by a welder through experience before the existing pipeline welding so as to finally obtain a qualified welding seam. However, for persons with insufficient welding experience, the problem that the final generated welding line is not qualified due to unreasonable setting of welding process parameters may occur.
Disclosure of Invention
The embodiment of the invention provides a pipeline welding method and device, which can solve the problem that the quality of a welding seam is finally influenced due to unreasonable welding process parameter setting caused by insufficient experience of welding personnel.
An embodiment of the present invention provides a method for welding a pipe, including:
acquiring physical characteristic parameters of a base material of a pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters;
inputting the physical characteristic parameters into a preset weld shape prediction model so that the weld shape prediction model outputs predicted shape parameters of a weld to be generated according to the physical characteristic parameters;
determining a reference welding process parameter according to the predicted shape parameter of the welding line to be generated;
and controlling a welding mechanism to weld according to the reference welding process parameters.
Further, the predicted shape parameters of the weld include: predicting fusion width, predicting fusion depth and predicting residual height; the reference welding process parameters comprise: a reference welding current, a reference welding voltage, and a reference welding speed.
Further, still include: detecting actual welding technological parameters in the welding process in real time; wherein the actual welding process parameters include: actual welding current, actual welder voltage, and actual welding speed; and comparing the actual welding process parameters with the reference welding process parameters, and if the actual welding process parameters do not correspond to the reference welding process, performing early warning.
Further, the method also comprises the following steps: after welding is finished, extracting actual shape parameters of the generated welding line; wherein the actual shape parameters include: actual fusion width, actual fusion depth and actual residual height; and comparing the actual shape parameters with the predicted shape parameters, and if the actual shape parameters are inconsistent with the predicted shape parameters, carrying out early warning.
On the basis that the method items are reasonable, the invention correspondingly provides an embodiment of the device item;
the embodiment of the invention provides a pipeline welding device, which comprises a data acquisition module, a welding seam shape prediction module, a welding process parameter determination module and a welding module, wherein the data acquisition module is used for acquiring data of a welding seam;
the data acquisition module is used for acquiring physical characteristic parameters of the parent metal of the pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters;
the welding seam shape prediction module is used for inputting the physical characteristic parameters into a preset welding seam shape prediction model so that the welding seam shape prediction model outputs the predicted shape parameters of the welding seam to be generated according to the physical characteristic parameters;
the welding process parameter determining module is used for determining a reference welding process parameter according to the predicted shape parameter of the welding seam to be generated;
and the welding module is used for controlling the welding mechanism to weld according to the reference welding process parameters.
Further, the predicted shape parameters of the weld include: predicting fusion width, predicting fusion depth and predicting residual height; the reference welding process parameters comprise: a reference welding current, a reference welding voltage, and a reference welding speed.
Further, the welding detection module is also included;
the welding detection module is used for detecting actual welding process parameters in the welding process in real time; wherein the actual welding process parameters include: actual welding current, actual welder voltage, and actual welding speed;
and comparing the actual welding process parameters with the reference welding process parameters, and if the actual welding process parameters do not correspond to the reference welding process, performing early warning.
Further, the welding detection module is further configured to:
after welding is finished, extracting actual shape parameters of the generated welding line; wherein the actual shape parameters include: actual fusion width, actual fusion depth and actual residual height;
and comparing the actual shape parameters with the predicted shape parameters, and if the actual shape parameters are inconsistent with the predicted shape parameters, carrying out early warning.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a pipeline welding method and a device, wherein the method comprises the steps of inputting the material type, the groove type and the groove geometric parameters of a to-be-welded pipeline parent metal into a welding seam shape prediction model, predicting the shape parameters of a to-be-generated welding seam by the welding seam shape prediction model; then, determining corresponding welding process parameters according to the predicted shape parameters, and finally realizing welding according to the welding process parameters; by implementing the method, the shape parameters of the welding line can be automatically generated according to the characteristics of the base metal of the pipeline to be welded, and then the corresponding welding process parameters are generated for welding, so that manual experience is not needed, the problem of unqualified welding line caused by insufficient experience of welding personnel is solved, and the welding quality is improved.
Drawings
Fig. 1 is a schematic flow chart of a pipeline welding method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a pipeline welding apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a pipe welding method, including:
s101, acquiring physical characteristic parameters of a base material of a pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters.
And S102, inputting the physical characteristic parameters into a preset weld joint shape prediction model so that the weld joint shape prediction model outputs the predicted shape parameters of the weld joint to be generated according to the physical characteristic parameters.
And S103, determining a reference welding process parameter according to the predicted shape parameter of the welding line to be generated.
And S104, controlling a welding mechanism to weld according to the reference welding process parameters.
For step S101, the groove types include, but are not limited to, any one or more of the following combinations: various grooves such as I-shaped (without grooves), V-shaped, Y-shaped, double Y-shaped, U-shaped, double U-shaped, single-side V-shaped, J-shaped and the like;
groove geometry parameters include, but are not limited to, any one or combination of: bevel face angle, groove angle, root clearance, and blunt edge.
In step S102, the weld shape prediction model is first explained:
in the invention, firstly, selecting parent metals with different material types, different groove types and different groove geometric parameters, of which the welding seam shape parameters meet the prediction standard, as parent metal samples;
then detecting the shape of the welding seam of each base material sample to obtain the shape parameter of the welding seam of each base material sample;
and then, taking physical characteristic parameters (namely material types, groove types and groove geometric parameters) of all the parent metal samples as input, and taking the welding seam shape parameters of all the parent metal samples as output to construct the welding seam shape prediction model.
After the model training is finished, inputting the physical parameter characteristics of the pipe parent metal to be welded into the weld shape prediction model, and predicting the shape parameters of the weld corresponding to the pipe parent metal to be welded by the model (namely the predicted shape parameters of the weld to be generated). It should be noted that the shape parameters of the weld include, but are not limited to, weld width, weld depth, and weld height, and therefore the predicted shape parameters of the weld include: the predicted fusion width, the predicted fusion depth and the predicted residual height.
In step S103, according to the predicted shape parameters determined in the above steps, the shape parameters of the weld joint can be determined to determine the process parameters for welding. It should be noted that the welding process parameters include, but are not limited to, welding current, welding voltage, and welding speed. Therefore, the reference welding process parameters include: a reference welding current, a reference welding voltage, and a reference welding speed.
In step S104, after determining the welding process parameters of the pipe base metal to be welded, the welding parameters of the welding mechanism may be set, and finally the welding mechanism performs welding.
In a preferred embodiment, the method further comprises: detecting actual welding technological parameters in the welding process in real time; wherein the actual welding process parameters include: actual welding current, actual welder voltage, and actual welding speed; and comparing the actual welding process parameters with the reference welding process parameters, and if the actual welding process parameters do not correspond to the reference welding process, performing early warning. In the welding process, the current, the voltage and the speed in the welding process are monitored in real time, if any one of the three parameters is inconsistent with the parameters in the reference welding process parameters, the error is indicated, early warning is carried out at the moment, and a user is reminded of the error in the welding process, so that the welding quality is monitored in the welding process, and the final welding quality is improved.
In a preferred embodiment, the method further comprises extracting actual shape parameters of the generated weld after welding is completed; wherein the actual shape parameters include: actual fusion width, actual fusion depth and actual residual height; and comparing the actual shape parameters with the predicted shape parameters, and if the actual shape parameters are inconsistent with the predicted shape parameters, carrying out early warning. After welding is finished, detecting the actually formed welding line through the existing sensor for welding detection, extracting the shape parameters of the actually generated welding line, and then comparing the shape parameters with the predicted shape parameters, wherein if any data item in the shape parameters of the actually generated welding line is inconsistent with the predicted shape parameters, the finally generated welding line is not accordant with an expected target, and then early warning is carried out so that welding staff can carry out repair welding. The embodiment detects the actually generated welding line after the welding is finished, and prevents the quality problem of the final finished product.
On the basis of the above method item embodiments, the present invention correspondingly provides apparatus item embodiments.
The embodiment of the invention provides a pipeline welding device, which comprises a data acquisition module, a welding seam shape prediction module, a welding process parameter determination module and a welding module, wherein the data acquisition module is used for acquiring data of a pipeline;
the data acquisition module is used for acquiring physical characteristic parameters of the parent metal of the pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters;
the welding seam shape prediction module is used for inputting the physical characteristic parameters into a preset welding seam shape prediction model so that the welding seam shape prediction model outputs the predicted shape parameters of the welding seam to be generated according to the physical characteristic parameters;
the welding process parameter determining module is used for determining a reference welding process parameter according to the predicted shape parameter of the welding seam to be generated;
and the welding module is used for controlling the welding mechanism to weld according to the reference welding process parameters.
In a preferred embodiment, the predicted shape parameters of the weld include: predicting fusion width, predicting fusion depth and predicting residual height; the reference welding process parameters comprise: a reference welding current, a reference welding voltage, and a reference welding speed.
In a preferred embodiment, the welding detection module is further included; the welding detection module is used for detecting actual welding process parameters in the welding process in real time; wherein the actual welding process parameters include: actual welding current, actual welder voltage, and actual welding speed; and comparing the actual welding process parameters with the reference welding process parameters, and if the actual welding process parameters do not correspond to the reference welding process, performing early warning.
In a preferred embodiment, the welding detection module is further configured to: after welding is finished, extracting actual shape parameters of the generated welding line; wherein the actual shape parameters include: actual fusion width, actual fusion depth and actual residual height; and comparing the actual shape parameters with the predicted shape parameters, and if the actual shape parameters are inconsistent with the predicted shape parameters, carrying out early warning.
It should be noted that the above embodiments of the apparatus of the present invention correspond to the embodiments of the method of the present invention, and can implement the pipe welding method of any one of the above embodiments of the present invention. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
By implementing the embodiment of the invention, the problem of unqualified welding seams caused by insufficient experience of welding personnel is solved, and the welding quality is improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (8)
1. A method of welding pipes, comprising:
acquiring physical characteristic parameters of a base material of a pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters;
inputting the physical characteristic parameters into a preset weld shape prediction model so that the weld shape prediction model outputs predicted shape parameters of a weld to be generated according to the physical characteristic parameters;
determining a reference welding process parameter according to the predicted shape parameter of the welding line to be generated;
and controlling a welding mechanism to weld according to the reference welding process parameters.
2. The pipe welding method of claim 1, wherein the predicted shape parameters of the weld comprise: predicting fusion width, predicting fusion depth and predicting residual height; the reference welding process parameters comprise: a reference welding current, a reference welding voltage, and a reference welding speed.
3. The pipe welding method of claim 2, further comprising:
detecting actual welding technological parameters in the welding process in real time; wherein the actual welding process parameters include: actual welding current, actual welder voltage, and actual welding speed;
and comparing the actual welding process parameters with the reference welding process parameters, and if the actual welding process parameters do not correspond to the reference welding process, performing early warning.
4. The pipe welding method of claim 2, further comprising:
after welding is finished, extracting actual shape parameters of the generated welding line; wherein the actual shape parameters include: actual fusion width, actual fusion depth and actual residual height;
and comparing the actual shape parameters with the predicted shape parameters, and if the actual shape parameters are inconsistent with the predicted shape parameters, carrying out early warning.
5. A pipeline welding device is characterized by comprising a data acquisition module, a welding seam shape prediction module, a welding process parameter determination module and a welding module;
the data acquisition module is used for acquiring physical characteristic parameters of the parent metal of the pipeline to be welded; wherein the physical characteristic parameters include: material type, groove type and groove geometric parameters;
the welding seam shape prediction module is used for inputting the physical characteristic parameters into a preset welding seam shape prediction model so that the welding seam shape prediction model outputs the predicted shape parameters of the welding seam to be generated according to the physical characteristic parameters;
the welding process parameter determining module is used for determining a reference welding process parameter according to the predicted shape parameter of the welding seam to be generated;
and the welding module is used for controlling the welding mechanism to weld according to the reference welding process parameters.
6. The pipe welding apparatus of claim 5, wherein the predicted shape parameters of the weld comprise: predicting fusion width, predicting fusion depth and predicting residual height; the reference welding process parameters comprise: a reference welding current, a reference welding voltage, and a reference welding speed.
7. The pipe welding apparatus of claim 6, further comprising, a weld detection module;
the welding detection module is used for detecting actual welding process parameters in the welding process in real time; wherein the actual welding process parameters include: actual welding current, actual welder voltage, and actual welding speed;
and comparing the actual welding process parameters with the reference welding process parameters, and if the actual welding process parameters do not correspond to the reference welding process, performing early warning.
8. The pipe welding apparatus of claim 7, wherein the weld detection module is further configured to:
after welding is finished, extracting actual shape parameters of the generated welding line; wherein the actual shape parameters include: actual fusion width, actual fusion depth and actual residual height;
and comparing the actual shape parameters with the predicted shape parameters, and if the actual shape parameters are inconsistent with the predicted shape parameters, carrying out early warning.
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| CN116900582A (en) * | 2023-07-19 | 2023-10-20 | 西咸新区大熊星座智能科技有限公司 | Welding robot with parameter prediction function |
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Application publication date: 20201208 |