Technological method for intelligently identifying and generating groove and welding seam in BIM model

Abstract

The invention discloses a process method for intelligently identifying and generating a groove and a welding seam in a BIM model, relates to the technical field of automatic processes of steel structure grooves, and solves the technical problem of low efficiency caused by incapability of realizing calling and welding of a steel structure groove welding seam process. According to the method and the system, the grooves of all the parts are comprehensively integrated and associated with the robot welding seam process information through the BIM model, the part groove information is automatically generated through part setting and rule presetting, and the problems that single part groove setting is low in efficiency, groove angles are not uniform, and the production efficiency is low are solved. Data linkage of a groove and a welding robot in the cutting link can be achieved, the direction and size of the groove are known in advance before welding, corresponding groove process parameters can be called in advance according to groove information, the steel structure manufacturing efficiency and precision are improved, and errors caused by manual participation and camera vision are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic groove technology for steel structures, and in particular to a method for intelligently identifying and generating grooves and welds in a BIM model. Background Art

[0002] In the manufacturing process of steel structures, especially in thick plate welding, groove technology and welding technology are crucial.

[0003] In the prior art, the analysis of welds is mainly generated in the following ways:

[0004] S1. The factory sets the grooves one by one according to the single parts. Flame, plasma, semi-automatic or laser can be used for groove cutting. The groove sizes and dimensions are various.

[0005] S2. Welding robots are currently unable to retrieve and weld the steel structure groove welding process. They can only visually identify the groove size and gap, and perform local planning and welding.

[0006] S3. Currently, groove cutting and robot welding are performed as a single process without linkage processing.

[0007] S4. Currently, welding robots are all stand-alone workstations. The quality of the weld depends on the level and skills of each operator, and the efficiency is low.

[0008] S5. Currently, most of the welds are simple fillet welds. Bevel welding requires multiple layers and multiple passes, which takes a long time to set up. Due to the previous bevel process, the actual effect is not ideal.

[0009] Traditional groove processing and weld processing mainly rely on manual experience, lack of systematicness and accuracy, and easily lead to problems such as unstable welding quality and low efficiency. In addition, the data of the previous cutting link cannot be correlated and matched with the subsequent welding process. Summary of the invention

[0010] In view of the deficiencies in the prior art, the present invention provides a method for intelligently identifying and generating groove and weld processes in a BIM model, which solves the problem of inefficiency caused by the inability to retrieve and weld the groove weld process of steel structures.

[0011] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for intelligently identifying and generating grooves and welds in a BIM model, comprising the following steps:

[0012] Step 1: Collect the groove design parameters and weld process parameters of steel structure parts, and use big data analysis technology to process and analyze the data to obtain analysis results, including groove shape, size, weld type and welding parameters;

[0013] Step 2: Classify the weld types based on the BIM model to obtain weld classification information, and define the parts according to the obtained weld classification information to generate part attribute information;

[0014] Step 3: Define the parts and location information based on the BIM model, and generate groove data according to the intelligent matching algorithm and preset rules;

[0015] Step 4: Based on the steel structure information input by the user, intelligent matching is performed in the large model, suitable groove design and welding process solutions are recommended, and push information is generated;

[0016] Step 5: Collect and organize the structural characteristics of the steel structure, and based on the collected structural characteristics, generate the required parts with grooves and three-dimensional component welding models with accurate welding processes through preset conditions, processes and parameters with one click.

[0017] As a further solution of the present invention: the specific method of processing and analyzing the groove design parameters in step 1 is:

[0018] The specific method of processing and analyzing the groove design parameters is: obtaining all groove types, and generating corresponding groove information according to the weld requirements corresponding to different groove types, and the weld requirements include: full penetration, partial penetration and fillet weld.

[0019] As a further solution of the present invention: the specific method of processing and analyzing the welding process parameters in step 1 is:

[0020] The process parameters of various welds such as fillet welds, partial penetration welds and full penetration welds at different thicknesses and different groove angles are obtained. The process parameters include current, voltage, welding speed, current and voltage adjustment during arc starting and arc extinction, dwell time, swing posture, welding posture, number of weld passes, etc. At the same time, the corresponding steel structure welding process information database is generated according to the process parameters.

[0021] As a further solution of the present invention: the specific method of generating the part attribute information in step 2 is:

[0022] First, the weld types are classified to obtain weld type information. The specific classification method is: the welds are divided into four categories according to the welding tools: A robot welding, B semi-automatic mechanical welding, C manual welding and D no welding. Then, the section prefix of the welded H-beam is identified according to the BIM model, and the part attribute information is generated.

[0023] As a further solution of the present invention: the specific method of generating the groove data in step 3 is:

[0024] Obtain analysis results, search and automatically generate the most suitable groove parameters for each part in the BIM large model through intelligent matching algorithms and preset rules.

[0025] As a further solution of the present invention: the specific method of generating push information according to the steel structure information input by the user in step 4 is:

[0026] The steel structure information input by the user is obtained, and the steel structure information includes size and shape. Then, the obtained steel structure information is matched with the large model. The specific matching method is: obtain the corresponding size in the steel structure, and obtain the cases similar to the current steel structure in the large model as the cases to be analyzed, and obtain the relevant data corresponding to the cases to be analyzed. Then, the shape in the steel structure information is obtained, and the shape is matched and screened with the cases to be analyzed for secondary matching. The screened cases are recorded as pre-processed cases, and push information is generated at the same time.

[0027] The present invention provides a method for intelligently identifying and generating grooves and welds in a BIM model. Compared with the prior art, it has the following beneficial effects:

[0028] First point: The present invention fully integrates the grooves of various parts and robot welding process information based on the BIM model to achieve intelligent identification and management methods and systems. Through part settings and preset rules, part groove information is automatically generated, avoiding the single part groove setting, low efficiency, and non-uniform groove angles. The groove in the cutting link can be linked with the welding robot data, and the groove position and size can be known in advance before welding. According to the groove information, the corresponding groove process parameters can be retrieved in advance, which improves the efficiency and accuracy of steel structure manufacturing and reduces the errors of manual participation and camera vision.

[0029] The second point: the present invention can automatically generate suitable part grooves and welding process parameters according to the specific conditions of the steel structure, set the corresponding weld parameters in advance, and execute them uniformly, so as to avoid the quality of the welds of each welding robot relying on the individual settings of each operator, thereby improving efficiency. The weld process information of the entire project and components can be automatically matched and set in advance, especially the setting of groove weld processes, which is often inefficient and of poor quality. At present, after the groove is fixed, the multi-layer and multi-channel angles, paths and other data of each groove weld can be simulated in advance, avoiding the need to scan and set each weld separately. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flow chart of the method of the present invention;

[0031] Figure 2 A schematic diagram of groove types and welding requirements of the present invention;

[0032] Figure 3 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] See also Figures 1 to 3 The present application provides a method for intelligently identifying and generating grooves and welds in a BIM model, and the method specifically comprises the following steps:

[0035] Step 1: Collect the groove design parameters and weld process parameters of steel structure parts, and use big data analysis technology to process and analyze the data to obtain analysis results, including groove shape, size, weld type and welding parameters. The specific sorting and classification methods are as follows:

[0036] The specific method of processing and analyzing the groove design parameters is as follows: obtaining all groove types, including single groove type, K type, I type, double groove type, X type, single V type and end double V type, and generating corresponding groove information according to the welding requirements corresponding to different groove types, and the welding requirements indicate that different welding methods are used for different types of grooves, such as the attached Figure 2 The code with the serial number Q1 corresponds to the groove type of "single slope plus lining", and the corresponding weld requirement is "full penetration". The groove information is obtained by integrating the above information, and the weld requirements include: full penetration and partial penetration;

[0037] For example, the size of the groove has different groove size setting requirements according to the different steel plate thickness (16~100mm), component location (H-type or box-type main weld, corbel flange and main body, box-type or round tube inner partition, stiffener, etc.) and welding requirements (full penetration, partial penetration, etc.). The groove information in various cases is sorted out and the corresponding codes are defined. For example, the code can be expressed as Q1~Q7+B1~3. For example, when the steel plate thickness is 20mm, when it is used as a box-type web, Q1 is used for the full penetration welding groove within 600 above and below the node area, and B1 is used for the partial penetration weld groove in the non-node area. The groove and gap are set according to the plate thickness information.

[0038] The specific method for analyzing the weld process parameters is: comprehensively collect and organize the process parameters of various welds such as fillet welds, partial penetration welds and full penetration welds under different thicknesses and different groove angles. The process parameters include current, voltage, welding speed, current and voltage adjustment during arc starting and arc extinction, dwell time, swing posture, welding posture, number of weld passes, etc. At the same time, generate the corresponding steel structure welding process information database according to the process parameters.

[0039] Specifically, it automatically deletes welds that do not need to be welded and submerged arc welds that have been completed in the previous process. It automatically obtains the welding process parameters in the first step based on the groove angle, plate thickness, location and other information and associates them with each weld. The weld process parameters and the 3D model are generated together into a single component model, which is uploaded to the project management system according to the project name / sub-item name / identified component number, generates the corresponding data link, and passes it to the welding robot through QR code scanning.

[0040] For example, for steel with a thickness of 20 mm, groove welding is performed at a groove angle of 35 degrees. After many tests and data collection, it is determined that the base welding current is 200-240A, 26-28V, gas flow: 15-20L / min, rod extension length ≤25mm, flat welding uses serrated or crescent shape, the gun direction uses the right welding method, the welding gun angle is adjusted according to the shape of the weld, the welding gun angle is 65-85°, the weld shape is flat or concave, the filling layer: current: 280-320A, voltage: 32-36V, a small swing posture, multiple layers and multiple passes are used to ensure complete fusion of both sides.

[0041] Step 2: Based on the BIM model, the weld types are classified to obtain weld classification information. At the same time, the parts are defined and part attribute information is generated according to the obtained weld classification information. The specific definition generation method is as follows:

[0042] First, the weld types are classified to obtain weld type information. The specific classification method is: the welds are divided into four categories according to the welding tools: A robot welding, B semi-automatic mechanical welding (mainly submerged arc welding), C manual welding and D no welding. Then, the section prefix of the welded H-beam is identified according to the BIM model and the part attribute information is generated. At the same time, the corresponding welding method is generated according to the section prefix, and the specific welding method is generated as follows:

[0043] Based on the BIM model, the main welds at the intersection of the flange and the web of the welded H-shaped steel with prefixes such as HI\BH\WI\PHI in the model are identified as Class B submerged arc welds and the length and other data are counted. This type of weld does not require the participation of welding robots, and traditional submerged arc welding can be used, which is low in cost and good in quality.

[0044] For the welded H-shaped steel modeled with three plates in the model: by defining in *User-defined properties-Product description-"web" parts, identify and confirm them as webs, identify the welds at the intersection of webs and flanges as Class B welds and count the length and other related data. For some parts that have no operating space and cannot be welded by robots, by identifying the box-shaped or round tube structures with prefixes such as RHS / SHS / PD / HK, the internal partition information of the box-shaped is automatically determined (or in User-defined properties-Product description-Definition: "Inner partition" and other component part names, it is identified and determined as manual welding, and the weld type is Class C). For some models with welds but no welding is actually required in the factory, by identifying the part number prefix "ZF", it is determined as a direct on-site part, and the relevant welds are automatically identified as none, and no weld information is generated;

[0045] In addition to the above situations, other types of connections are welding robots welding welds, automatically identifying and generating weld codes according to the location and plate thickness;

[0046] For example: in the BIM modeling process, the part name or user-defined attribute in the model - product description - definition: "end plate", identify the flange of the welded H-shaped steel with the section prefix BH\HI in the model, and the defined end plate weld, use the full penetration Q3 groove information, and then obtain the corresponding groove weld process information based on the plate thickness information and the previous groove information;

[0047] Identify the box-type bracket attributes with the prefix HK in BIM, and use full penetration Q1 for the weld with the main component. According to the plate thickness information, the corresponding groove weld process information is obtained based on the plate thickness information and the previous groove information.

[0048] Identify the prefixes of welded box sections such as HK, RHS, etc. in the BIM model, identify the main welds of the web and flange, and within 600mm above and below the corbel, use the full penetration Q1 groove and weld information for web thickness of 30mm or less, and use the full penetration Q2 groove and weld information for web thickness of more than 30mm, and then obtain the corresponding groove weld process information based on the plate thickness information and the previous groove information;

[0049] Identify the prefixes of welded box sections such as HK, RHS, etc. in the BIM model, identify the main welds of the web and flange, and use partial penetration B1 groove and weld information for web thickness of 30mm or less outside the range of 600mm above and below the corbel, and use partial penetration B3 groove and weld information for web thickness of more than 30mm, and then obtain the corresponding groove weld process information based on the plate thickness information and the previous groove information;

[0050] Identify the prefixes of circular tube sections such as CHS and PD in the BIM model, and define them as corbel flange components in the model. A circle of connecting welds uses full penetration Q3 welds, and then make corresponding definitions according to different structures, parts, and scenarios.

[0051] At the same time, in the actual welding process, for example, when the corresponding welding type corresponding to the corresponding welding requirement is flat welding, and the corresponding welding leg parameter is 6mm, the corresponding welding current can be selected as 280A, and the further corresponding welding voltage adjustment parameter is 5%. At the same time, the welding speed is selected as 6mm / s, the corresponding swing type is sinusoidal swing, the corresponding welding wavelength is 2mm, and the welding swing arc is 2mm;

[0052] For example, when the corresponding welding type of the corresponding welding requirement is vertical welding, and the corresponding welding leg parameter is 6mm, the corresponding welding current is 123A, and the further corresponding welding voltage adjustment parameter is 8%. At the same time, the welding speed is 2.5mm / s, the corresponding swing type is V-shaped reverse crescent swing, the corresponding welding wavelength is 3mm, the welding swing arc is 6mm, and the swing arc Y is 4mm and the swing arc Z is -4mm;

[0053] For another example, for 12mm multi-layer multi-pass welding, the weld type is flat welding, the number of layers is the first layer and the first pass, the welding current is 280A, the welding voltage is adjusted to 5%, the welding speed is 2mm / s, the corresponding welding wavelength is 2mm, the welding arc is 2mm, and the corresponding up and down offset is 0, the left and right offset is 0, the starting point indent is 0, and the end point indent is 0;

[0054] Finally, for the 14mm multi-layer and multi-pass welding, the weld type is flat welding, the number of layers is the second layer and the first pass, the welding current is selected as 280A, the welding voltage is adjusted to 5%, the welding speed is 5.5mm / s, and sinusoidal oscillation is used with a fluctuation of 2.2mm and an arc swing of 3mm. At the same time, the corresponding up and down offset is 5.28, the left and right offset is 5.28, the starting indent is 2, and the end indent is 2.

[0055] Step 3: Define the parts and location information based on the BIM model, and generate groove data according to the intelligent matching algorithm and preset rules. The specific processing method is as follows:

[0056] The analysis results are obtained, and the analysis results here are the same as those in step one. Through intelligent matching algorithms and preset rules, the most suitable groove parameters for each part are retrieved and automatically generated in the BIM large model (and through self-developed plug-ins), and the steel structure groove design parameters (such as groove angle, root gap, blunt edge size, etc.) are generated according to the plug-in, and the groove parameters are written into the laser-recognized CNC file with groove information (including but not limited to NC1\DWG\DXF\IGS and other format files), uploaded to the project management system according to the project name / sub-item name / identified part number, and groove parts are arranged, and then passed to the laser blanking equipment for groove cutting.

[0057] Step 4: Based on the steel structure information input by the user, intelligent matching is performed in the large model, suitable groove design and welding process solutions are recommended, and push information is generated. The specific method of generating push information is as follows:

[0058] The steel structure information input by the user is obtained, and the steel structure information includes size and shape. Then, the obtained steel structure information is matched with the large model. The specific matching method is: obtain the corresponding size in the steel structure, and obtain the case similar to the current steel structure in the large model as the case to be analyzed, and obtain the relevant data corresponding to the case to be analyzed. The relevant data here may be the groove angle, root gap, voltage value and current value, etc. Then, the shape in the steel structure information is obtained, and the shape is matched and screened with the case to be analyzed for a second time. The screened case is recorded as a pre-processed case, and push information is generated at the same time. The obtained pre-processed case is first screened according to the size, and then screened according to the shape. After the second screening, the pre-processed case is finally obtained. The same pre-processed case includes the corresponding relevant data.

[0059] When the program recognizes a steel structure with a specific size and shape, such as a welded H-shaped steel with a cross-section of BH500*250*20*30 and a weld with a steel column base plate, which will be used for the main load-bearing structure of the building, the system will retrieve similar steel structure cases and related data in the large model. After intelligent matching, it may recommend welding the H-shaped steel 30mm flange and the column base plate with a groove design at a specific angle, such as a groove angle of 45 degrees and a root gap of 2 mm. For the welding process plan, it may recommend It is recommended to use a certain range of current and voltage values. The base welding current is 200-240A, 26-28V, gas flow: 15-20L / min, rod extension length ≤25mm, flat welding uses serrated or crescent shape, the gun direction uses the right welding method, adjust the welding gun angle according to the shape of the weld, the welding gun angle is 65-85°, the weld shape is flat or concave, filling layer: current: 280-320A, voltage: 32-36V, use a small swing posture, multiple layers and multiple passes to ensure complete fusion of both sides.

[0060] The platform supports process simulation and emulation. Users can preview welding effects through a virtual environment and further adjust and optimize process parameters. It provides a visual output module to present the optimal solution to users in an intuitive and easy-to-understand manner, including groove shape diagrams, weld layout diagrams and detailed process parameter descriptions.

[0061] Step 5: Collect and organize the structural characteristics of the steel structure, and based on the collected structural characteristics, generate the required three-dimensional component welding model with grooved parts and accurate welding process through preset conditions, processes and parameters. Continuously optimize and improve the process, and finally realize the cloud server and QR code scanning transmission technology, so that on-site workers can scan the QR code and start the welding robot to weld the components with one click.

[0062] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0063] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for intelligently identifying and generating grooves and welds in a BIM model, characterized in that: The following steps are involved: Step 1: Collect the groove design parameters and weld process parameters of steel structure parts, and use big data analysis technology to process and analyze the data to obtain analysis results, including groove shape, size, weld type and welding parameters; Step 2: Classify the weld types based on the BIM model to obtain weld classification information, and define the parts according to the obtained weld classification information to generate part attribute information; Step 3: Define the parts and location information based on the BIM model, and generate groove data according to the intelligent matching algorithm and preset rules; Step 4: Based on the steel structure information input by the user, intelligent matching is performed in the large model, suitable groove design and welding process solutions are recommended, and push information is generated; Step 5: Collect and organize the structural characteristics of the steel structure, and based on the collected structural characteristics, generate the required parts with grooves and three-dimensional component welding models with accurate welding processes through preset conditions, processes and parameters with one click.

2. The method for intelligently identifying and generating grooves and welds in a BIM model according to claim 1, characterized in that: The specific method for processing and analyzing the groove design parameters in step 1 is: The specific method of processing and analyzing the groove design parameters is: obtaining all groove types, and generating corresponding groove information according to the weld requirements corresponding to different groove types, and the weld requirements include: full penetration, partial penetration and fillet weld.

3. The method for intelligently identifying and generating grooves and welds in a BIM model according to claim 1, characterized in that: The specific method for processing and analyzing the welding process parameters in step 1 is: The process parameters of various welds such as fillet welds, partial penetration welds and full penetration welds at different thicknesses and different groove angles are obtained. The process parameters include current, voltage, welding speed, current and voltage adjustment during arc starting and arc extinction, dwell time, swing posture, welding posture, number of weld passes, etc. At the same time, the corresponding steel structure welding process information database is generated according to the process parameters.

4. The method for intelligently identifying and generating grooves and welds in a BIM model according to claim 1, characterized in that: The specific method of generating part attribute information in step 2 is: The weld types are classified to obtain weld type information. The specific classification method is as follows: the welds are divided into four categories according to the welding tools: A robot welding, B semi-automatic mechanical welding, C manual welding and D no welding. At the same time, the section prefix of the welded H-beam is identified according to the BIM model, and the part attribute information is generated.

5. The method for intelligently identifying and generating grooves and welds in a BIM model according to claim 1, characterized in that: The specific method of generating groove data in step 3 is: Obtain analysis results, search and automatically generate the most suitable groove parameters for each part in the BIM large model through intelligent matching algorithms and preset rules.

6. The method for intelligently identifying and generating grooves and welds in a BIM model according to claim 1, characterized in that: The specific method of generating push information according to the steel structure information input by the user in step 4 is: The steel structure information input by the user is obtained, and the steel structure information includes size and shape. Then, the obtained steel structure information is matched with the large model. The specific matching method is: obtain the corresponding size in the steel structure, and obtain the cases similar to the current steel structure in the large model as the cases to be analyzed, and obtain the relevant data corresponding to the cases to be analyzed. Then, the shape in the steel structure information is obtained, and the shape is matched and screened with the cases to be analyzed for secondary matching. The screened cases are recorded as pre-processed cases, and push information is generated at the same time.

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