A welding method for a lattice column and a pipe pile

Abstract

The present invention relates to the field of welding technology, and discloses a welding method for lattice columns and pipe piles, including: judging whether the welding conditions are met according to the environmental particle concentration value, and determining the initial welding power according to the welding contact length; obtaining the temperature index value corresponding to each temperature analysis point, comparing the environmental temperature value with historical data, determining the temperature similarity according to the environmental temperature value and historical data, when the temperature similarity is greater than or equal to the similarity threshold, determining the power adjustment coefficient according to the historical data, when the temperature similarity is less than the similarity threshold, generating a temperature response mark for the corresponding temperature analysis point according to the temperature index value, extracting feature points from the processed multi-directional image, and merging the processed multi-directional images to obtain a welding image, judging whether to perform repair welding according to the welding image, and adjusting the target welding power according to the welding length and the welding contact length. The present invention has the characteristics of good dynamic adjustment and precise welding.

Description

Technical Field

[0001] The present invention relates to the field of welding technology, and more particularly, to a welding method for lattice columns and pipe piles. Background Art

[0002] With the continuous development of projects, the supporting operation of lattice columns and pipe piles plays an important role in building and infrastructure projects. In the application of high-strength structural engineering, the welding stability of lattice columns and pipe piles ensures the overall structural strength. However, there are certain limitations in the welding operation of lattice columns and pipe piles. Currently, the welding operation process of lattice columns and pipe piles is easily affected by the ambient temperature, resulting in the inability to accurately determine the welding power of the welding machine during welding, leading to unstable welding effects, and further affecting the structural integrity of lattice columns and pipe piles. Moreover, during the welding process, it mostly relies on the experience of workers. Due to the different skill levels and experience of workers, the welding process is easily affected by the skill level and judgment of the operator, and the welding completion effect varies with different workers, resulting in the inability to judge the quality of the welding completion and accurately determine whether the operation of repair welding is required, thus posing a risk to the connection of lattice columns and pipe piles.

[0003] Therefore, how to provide a welding method for lattice columns and pipe piles is an urgent technical problem to be solved by those skilled in the art. Summary of the Invention

[0004] In view of this, the present invention proposes a welding method for lattice columns and pipe piles, aiming to solve the problems of being unable to determine the welding power of the welding machine according to environmental changes and being unable to accurately determine whether repair welding is required.

[0005] The present invention proposes a welding method for lattice columns and pipe piles, including:

[0006] Obtaining a plurality of particle concentration data of the welding area, preprocessing each particle concentration data, obtaining an environmental particle concentration value based on the result of the preprocessing, judging whether the welding condition is met according to the environmental particle concentration value, and when the welding condition is satisfied, determining an initial welding power according to the welding contact length;

[0007] Deploying a plurality of temperature analysis points inside the welding area, obtaining a temperature index value corresponding to each temperature analysis point, determining the environmental temperature value of the welding area according to all the temperature index values, comparing the environmental temperature value with historical data, and judging whether to adjust the initial welding power according to the comparison result;

[0008] When it is determined to adjust the initial welding power, the temperature similarity is determined according to the ambient temperature value and the historical data. When the temperature similarity is greater than or equal to the similarity threshold, the power adjustment coefficient is determined according to the historical data. When the temperature similarity is less than the similarity threshold, a temperature response mark is generated for the corresponding temperature analysis point according to the temperature index value, where the temperature response mark includes a temperature compliance mark and a temperature deviation mark. The power adjustment coefficient is determined according to the number of the temperature compliance mark and the temperature deviation mark, and the target welding power is obtained based on the power adjustment coefficient and the initial welding power;

[0009] Welding is performed according to the target welding power, multiple multi-directional images taken from multiple directions after one welding is completed are obtained, the multi-directional images are processed, feature points are extracted from the processed multi-directional images, and the processed multi-directional images are merged to obtain a welding image. It is judged whether to perform repair welding according to the welding image. When it is judged to perform repair welding, the welding length that has not been successfully welded is obtained, and the target welding power is adjusted according to the welding length and the welding contact length.

[0010] Further, when preprocessing each particle concentration data and obtaining the ambient particle concentration value based on the preprocessing result, and judging whether it meets the welding conditions according to the ambient particle concentration value, it includes:

[0011] The preprocessing includes data cleaning and data standardization;

[0012] All preprocessed particle concentration data are statistically analyzed and averaged to obtain the ambient particle concentration value;

[0013] The ambient particle concentration value is compared with the standard ambient particle concentration value to judge whether it meets the welding conditions;

[0014] When the ambient particle concentration value is greater than or equal to the standard ambient particle concentration value, it is judged that the welding conditions are not met;

[0015] When the ambient particle concentration value is less than the standard ambient particle concentration value, it is judged that the welding conditions are met.

[0016] Further, when the welding conditions are met, determining the initial welding power according to the welding contact length includes:

[0017] A first preset welding power, a second preset welding power, and a third preset welding power are preset in advance;

[0018] When the welding contact length is less than 1 m, the first preset welding power is used as the initial welding power;

[0019] When the welding contact length is greater than or equal to 1 m and less than 1.5 m, the second preset welding power is used as the initial welding power;

[0020] When the welding contact length is greater than or equal to 1.5 m, the third preset welding power is used as the initial welding power;

[0021] Wherein, the first preset welding power is less than the second preset welding power, and the second preset welding power is less than the third preset welding power.

[0022] Further, when determining the ambient temperature value of the welding area according to all the temperature index values, comparing the ambient temperature value with historical data, and judging whether to adjust the initial welding power according to the comparison result, it includes:

[0023] The ambient temperature value is obtained by summing all the temperature index values and taking the average;

[0024] The historical data includes a historical qualified temperature value, a historical primary ambient temperature value, and a historical power adjustment coefficient, and the historical primary ambient temperature value corresponds to the historical power adjustment coefficient;

[0025] Compare the ambient temperature value with the historical qualified temperature value in the historical data, and judge whether to adjust the initial welding power according to the comparison result;

[0026] When the ambient temperature value is greater than the historical qualified temperature value, it is judged that the initial welding power needs to be adjusted;

[0027] When the ambient temperature value is less than or equal to the historical qualified temperature value, it is judged that the initial welding power is not adjusted, and the initial welding power is determined as the target welding power.

[0028] Further, when it is judged that the initial welding power needs to be adjusted, when determining the temperature similarity according to the ambient temperature value and the historical data, it includes:

[0029] The temperature similarity is obtained by the following formula:

[0030] ;

[0031] Wherein, represents the ambient temperature value, represents the historical primary ambient temperature value, and represent the weight coefficients, and .

[0032] Further, when determining the power adjustment coefficient according to the historical data when the temperature similarity is greater than or equal to the similarity threshold, it includes:

[0033] Preset the similarity threshold. When there is data in the historical data with a temperature similarity greater than or equal to the similarity threshold and the data with a temperature similarity greater than or equal to the similarity threshold in the historical data is unique, use the corresponding historical power adjustment coefficient of the data as the power adjustment coefficient;

[0034] When the data with a temperature similarity greater than or equal to the similarity threshold in the historical data is not unique, use the historical power adjustment coefficient corresponding to the data with the maximum temperature similarity as the power adjustment coefficient.

[0035] Further, when generating a temperature response mark for the corresponding temperature analysis point according to the temperature index value when the temperature similarity is less than the similarity threshold, it includes:

[0036] When there is no data in the historical data with a temperature similarity greater than or equal to the similarity threshold, generate a temperature response mark for the corresponding temperature analysis point according to the temperature index value;

[0037] Determine the standard temperature index value corresponding to each temperature analysis point, compare the temperature index value with the standard temperature index value. When the temperature index value is less than or equal to the standard temperature index value, generate the temperature compliance mark for the corresponding temperature analysis point;

[0038] When the temperature index value is greater than the standard temperature index value, generate the temperature deviation mark for the corresponding temperature analysis point.

[0039] Further, when determining the power adjustment coefficient based on the number of the temperature compliance marks and the temperature deviation marks, and obtaining the target welding power based on the power adjustment coefficient and the initial welding power, it includes:

[0040] Count the number of the temperature compliance marks and record it as the compliance number, count the number of the temperature deviation marks and record it as the deviation number, and determine the power adjustment coefficient according to the ratio k of the compliance number to the deviation number;

[0041] Preset a first preset adjustment coefficient, a second preset adjustment coefficient, and a third preset adjustment coefficient;

[0042] When k is less than 1, use the first preset adjustment coefficient as the power adjustment coefficient;

[0043] When k is greater than or equal to 1 and less than 1.5, use the second preset adjustment coefficient as the power adjustment coefficient;

[0044] When k is greater than or equal to 1.5, the third preset adjustment coefficient is used as the power adjustment coefficient;

[0045] The target welding power is the product of the power adjustment coefficient and the initial welding power.

[0046] Further, when processing multi-directional images, extracting feature points from the processed multi-directional images, and merging the processed multi-directional images to obtain a welding image, it includes:

[0047] Performing image processing on the multi-directional images, and the image processing includes geometric correction, contrast adjustment, and color balance;

[0048] Extracting the feature points from the processed multi-directional images according to the first image processing, matching the extracted feature points according to the second image processing to obtain the correlation result between the multi-directional images, correcting the multi-directional images according to the correlation result, merging the corrected multi-directional images according to the third image processing, and performing refinement adjustment on the merged multi-directional images to obtain the welding image.

[0049] Further, when determining whether to perform repair welding according to the welding image, and when it is determined to perform repair welding, obtaining the welding length that has not been successfully welded, and adjusting the target welding power according to the welding length and the welding contact length, it includes:

[0050] Judging whether there are cracks on the welding surface after one-time welding according to the welding image;

[0051] When it is judged that there are cracks on the welding surface, repair welding is performed;

[0052] When it is judged that there are no cracks on the welding surface, no repair welding is performed;

[0053] When it is judged to perform repair welding, obtaining a power adjustment factor according to the welding length and the welding contact length, and the power adjustment factor is obtained by the following formula:

[0054] ;

[0055] Wherein, represents the power adjustment factor, represents the welding length, represents the welding contact length, represents the natural constant;

[0056] Adjusting the target welding power according to the power adjustment factor, and the power adjustment factor is in a direct proportional relationship with the target welding power.

[0057] Compared with the prior art, the beneficial effects of the present invention are as follows: By judging whether the welding conditions are met based on the environmental particle concentration value, it ensures that the welding process is not interfered by environmental impurities, thereby improving the welding quality and reducing the risk of welding defects. The initial welding power is dynamically determined according to the welding contact length, ensuring that appropriate initial welding power can be matched in different welding contact length situations, avoiding welding defects caused by power mismatch. By determining the temperature similarity and comparing it with the similarity threshold, the adaptability to different environmental temperatures is achieved, and the initial welding power can be flexibly adjusted according to the actual situation, improving the stability and reliability of welding. The generated temperature response mark can accurately reflect the temperature change during the welding process, thus ensuring the accuracy of adjusting the initial welding power. By taking multiple multi-directional images from multiple directions, performing image processing and feature point extraction, and then merging them to obtain a complete welding image, it is possible to comprehensively grasp the welding completion effect, accurately identify welding defects, thereby providing image support for the decision of repair welding. The merging and feature point extraction effectively improve the reliability of the welding image, avoiding missing welding defects or misjudgment, and thus judging in real time whether the welding surface needs repair welding, ensuring welding integrity, reducing the judgment solely relying on manual experience, improving the welding efficiency, and ensuring the welding quality in different working environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0059] Figure 1 is a flowchart of a welding method for a lattice column and a pipe pile provided by an embodiment of the present invention;

[0060] Figure 2 is a schematic structural diagram of a lattice column provided by an embodiment of the present invention;

[0061] Figure 3 is a schematic structural diagram of a pipe pile provided by an embodiment of the present invention;

[0062] In the figure: 1, lattice column; 2, annular end plate; 3, pipe pile. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0064] Referring to Figure 1 As shown, in some embodiments of the present application, a welding method for a lattice column and a pipe pile includes:

[0065] S100: Obtain multiple particle concentration data of the welding area, preprocess each particle concentration data, obtain the ambient particle concentration value based on the result of the preprocessing, determine whether the welding condition is met according to the ambient particle concentration value, and when the welding condition is met, determine the initial welding power according to the welding contact length;

[0066] S200: Deploy multiple temperature analysis points inside the welding area, obtain the temperature index value corresponding to each temperature analysis point, determine the ambient temperature value of the welding area according to all the temperature index values, compare the ambient temperature value with historical data, and determine whether to adjust the initial welding power according to the comparison result;

[0067] S300: When it is determined to adjust the initial welding power, determine the temperature similarity according to the ambient temperature value and historical data. When the temperature similarity is greater than or equal to the similarity threshold, determine the power adjustment coefficient according to the historical data. When the temperature similarity is less than the similarity threshold, generate a temperature response mark for the corresponding temperature analysis point according to the temperature index value, where the temperature response mark includes a temperature compliance mark and a temperature deviation mark, determine the power adjustment coefficient according to the number of the temperature compliance mark and the temperature deviation mark, and obtain the target welding power based on the power adjustment coefficient and the initial welding power;

[0068] S400: Weld according to the target welding power, obtain multiple multi-directional images taken from multiple directions after one welding is completed, process the multi-directional images, extract feature points from the processed multi-directional images, and merge the processed multi-directional images to obtain a welding image. Determine whether to perform additional welding according to the welding image. When it is determined to perform additional welding, obtain the welding length that has not been successfully welded, and adjust the target welding power according to the welding length and the welding contact length.

[0069] Specifically, since the welding operation is carried out in an outdoor construction environment, the construction environment will generate impurities such as dust in the air. The welding area is the welding working area during the welding operation, and its impurities such as dust will have a certain impact on the welding area. A laser particle sensor is used to obtain the particle concentration data of each point in the welding area at the same time interval within a set time period. Multiple particle concentration data are preprocessed to obtain the environmental particle concentration value, reducing the influence of accidental errors, thereby improving the accuracy and reliability of the environmental particle concentration value, effectively avoiding the adverse impact of environmental pollution on the welding quality. Moreover, multiple temperature analysis points are deployed inside the welding area. Preferably, there are 10 temperature analysis points, and the specific number can be adjusted according to actual needs. A temperature sensor is deployed at each temperature analysis point to collect the temperature index value of each temperature analysis point in real time. The environmental temperature of the welding area will affect the welding quality. By obtaining all the temperature index values and calculating the environmental temperature value, and comparing it with historical data, the initial welding power can be adjusted, which can reduce the risk of welding instability caused by temperature fluctuations. By comparing historical data, it is possible to intelligently judge whether the environmental temperature value is abnormal, and then adjust the initial welding power, ensuring the reliability and safety of the welding operation. The acquisition method of the power adjustment coefficient is determined according to the temperature similarity between the environmental temperature value and historical data, improving the adaptability and flexibility of the adjustment of the initial welding power. The initial welding power is dynamically adjusted according to the power adjustment coefficient to obtain the target welding power, enabling the target welding power to cope with the change of the environmental temperature, thus avoiding the lack of human experience and operation errors, and improving the welding quality. The welding completion situation is inspected by taking multi-directional images. The multi-directional shooting includes six directions: up, down, left, right, front, and back. Then, the multi-directional images are processed. Secondly, feature points are extracted from the processed multi-directional images and merged to generate a welding image. The reliability of the welding image is improved, providing an image basis for subsequent judgment of whether to perform repair welding, and reducing the error of manual inspection. And it is dynamically judged whether to perform repair welding, ensuring the reliability of the welding operation, thereby enhancing the strength of the overall structure.

[0070] It can be understood that the target welding power is determined and adjusted through multiple methods such as the environmental particle concentration value, the environmental temperature value, and the welding image, ensuring the stability, high efficiency of the welding process and meeting the requirements of welding quality, improving the welding success rate and welding consistency. Welding defects can be accurately detected based on the welding image and repaired, improving the reliability and safety of welding.

[0071] In some embodiments of the present application, when preprocessing each particle concentration data and obtaining the environmental particle concentration value based on the preprocessing result, and judging whether it meets the welding conditions according to the environmental particle concentration value, it includes:

[0072] The preprocessing includes data cleaning and data standardization;

[0073] Statistically analyze all the pre - processed particle concentration data and take the average value to obtain the environmental particle concentration value;

[0074] Compare the environmental particle concentration value with the standard environmental particle concentration value to determine whether the welding conditions are met;

[0075] When the environmental particle concentration value is greater than or equal to the standard environmental particle concentration value, it is determined that the welding conditions are not met;

[0076] When the environmental particle concentration value is less than the standard environmental particle concentration value, it is determined that the welding conditions are met.

[0077] In some embodiments of the present application, when the welding conditions are met, the initial welding power is determined according to the welding contact length, including:

[0078] Preset a first preset welding power, a second preset welding power, and a third preset welding power in advance;

[0079] When the welding contact length is less than 1 m, the first preset welding power is used as the initial welding power;

[0080] When the welding contact length is greater than or equal to 1 m and less than 1.5 m, the second preset welding power is used as the initial welding power;

[0081] When the welding contact length is greater than or equal to 1.5 m, the third preset welding power is used as the initial welding power;

[0082] Among them, the first preset welding power is less than the second preset welding power, and the second preset welding power is less than the third preset welding power.

[0083] Specifically, by pre - processing the particle concentration data, it is possible to effectively remove data noise and unify the data dimension, ensuring an accurate and reliable environmental particle concentration value. After pre - processing all the particle concentration data and taking the average value to obtain the environmental particle concentration value, it can balance the influence of accidental data, thereby improving the reliability of subsequent judgments. The standard environmental particle concentration value is determined by the local environment. Since the welding operation is carried out in an outdoor construction environment, impurities such as dust in the air will affect the welding operation. By comparing and analyzing the environmental particle concentration value, the safety of the welding operation is ensured, and the influence of particles and other impurities on the welding quality is reduced. By determining the initial welding power according to the welding contact length, it is possible to dynamically adjust the initial welding power according to the actual welding requirements, improving the adaptability of welding, thereby avoiding the risk of inaccurate welding caused by too high or too low power, and thus improving the stability of welding.

[0084] In some embodiments of the present application, when determining the ambient temperature value of the welding area according to all the temperature index values, comparing the ambient temperature value with historical data, and judging whether to adjust the initial welding power according to the comparison result, it includes:

[0085] Sum all the temperature index values and take the average value to obtain the ambient temperature value;

[0086] The historical data includes historical qualified temperature values, historical primary ambient temperature values, and historical power adjustment coefficients, and the historical primary ambient temperature values and historical power adjustment coefficients correspond to each other;

[0087] Compare the ambient temperature value with the historical qualified temperature value in the historical data, and judge whether to adjust the initial welding power according to the comparison result;

[0088] When the ambient temperature value is greater than the historical qualified temperature value, it is judged to adjust the initial welding power;

[0089] When the ambient temperature value is less than or equal to the historical qualified temperature value, it is judged not to adjust the initial welding power, and the initial welding power is determined as the target welding power.

[0090] Specifically, summing all the temperature index values and taking the average value to obtain the ambient temperature value can reduce the influence of accidental errors on the ambient temperature value and improve the accuracy of the ambient temperature value. The historical qualified temperature value is dynamically set according to the environment during historical welding operations, and its specific value is changed during actual application. Introducing the historical qualified temperature value as a reference standard improves the accuracy of the initial welding power adjustment. Moreover, when the ambient temperature value is less than or equal to the historical qualified temperature value, it indicates that the current environment meets the requirements of historical welding operations, so there is no need to adjust the initial welding power, which improves the consistency with historical welding operations and thus ensures the welding quality.

[0091] In some embodiments of the present application, when it is judged to adjust the initial welding power, when determining the temperature similarity according to the ambient temperature value and historical data, it includes:

[0092] The temperature similarity is obtained by the following formula:

[0093] ;

[0094] Wherein, represents the ambient temperature value, represents the historical primary ambient temperature value, and represent weight coefficients, and .

[0095] In some embodiments of the present application, when the temperature similarity is greater than or equal to the similarity threshold and determining the power adjustment coefficient according to historical data, it includes:

[0096] Preset the similarity threshold. When there is data in the historical data where the temperature similarity is greater than or equal to the similarity threshold and the data with a temperature similarity greater than or equal to the similarity threshold in the historical data is unique, use the corresponding historical power adjustment coefficient of the data as the power adjustment coefficient;

[0097] When the data with a temperature similarity greater than or equal to the similarity threshold in the historical data is not unique, use the historical power adjustment coefficient corresponding to the data with the maximum temperature similarity as the power adjustment coefficient.

[0098] Specifically, determine the temperature similarity according to the ambient temperature value and historical data, and introduce a weight coefficient when determining the temperature similarity, flexibly adjusting the influence weights of the historical primary ambient temperature value and the ambient temperature value in the calculation of the temperature similarity, thereby further improving the accuracy and applicability of the adjustment. Judge the matching degree between the ambient temperature value and the historical adjustment through the similarity threshold. When historical data with a high temperature similarity is found, these data can be directly used to determine the power adjustment coefficient, thus ensuring the reliability and consistency of the welding operation. When multiple historical data with a high temperature similarity are found, then use the historical power adjustment coefficient corresponding to the data with the maximum temperature similarity as the power adjustment coefficient, using the most similar historical adjustment data, thereby improving the accuracy and reliability of the adjustment, and being able to continuously accumulate historical data, thereby improving the accuracy of obtaining the power adjustment coefficient.

[0099] In some embodiments of the present application, when the temperature similarity is less than the similarity threshold and generating a temperature response mark for the corresponding temperature analysis point according to the temperature index value, it includes:

[0100] When there is no data in the historical data where the temperature similarity is greater than or equal to the similarity threshold, generate a temperature response mark for the corresponding temperature analysis point according to the temperature index value;

[0101] Determine the standard temperature index value corresponding to each temperature analysis point, compare the temperature index value with the standard temperature index value. When the temperature index value is less than or equal to the standard temperature index value, generate a temperature compliance mark for the corresponding temperature analysis point;

[0102] When the temperature index value is greater than the standard temperature index value, generate a temperature deviation mark for the corresponding temperature analysis point.

[0103] In some embodiments of the present application, when determining the power adjustment coefficient according to the number of temperature compliance marks and temperature deviation marks and obtaining the target welding power based on the power adjustment coefficient and the initial welding power, it includes:

[0104] Count the number of temperature compliance marks and record it as the compliance quantity, count the number of temperature deviation marks and record it as the deviation quantity, and determine the power adjustment coefficient according to the ratio k of the compliance quantity to the deviation quantity;

[0105] Preset a first preset adjustment coefficient, a second preset adjustment coefficient, and a third preset adjustment coefficient in advance;

[0106] When k is less than 1, then use the first preset adjustment coefficient as the power adjustment coefficient;

[0107] When k is greater than or equal to 1 and less than 1.5, then use the second preset adjustment coefficient as the power adjustment coefficient;

[0108] When k is greater than or equal to 1.5, then use the third preset adjustment coefficient as the power adjustment coefficient;

[0109] The target welding power is the product value of the power adjustment coefficient and the initial welding power.

[0110] Specifically, when the temperature similarity is less than the similarity threshold, it indicates that the matching degree with the historical adjustment is low, and then temperature response marks are generated for the corresponding temperature analysis points according to the temperature index value. The standard temperature index value represents the standard temperature value of the welding operation environment. When exceeding this value, it indicates exceeding the ideal state of the welding operation environment. When not exceeding this value, it indicates within the ideal state of the welding operation environment. Moreover, the initial welding power during welding can be appropriately increased. The first preset adjustment coefficient is preferably 0.8, the second preset adjustment coefficient is preferably 1.2, and the third preset adjustment coefficient is preferably 1.5. The corresponding preset adjustment coefficient is selected according to the ratio k of the compliance quantity to the deviation quantity, thereby realizing the dynamic adjustment of the initial welding power and ensuring the accuracy of the adjustment. Whether determining the power adjustment coefficient according to the number of temperature compliance marks and temperature deviation marks, or determining the power adjustment coefficient according to historical data, the initial welding power can be accurately adjusted, thus ensuring the quality of the welding operation.

[0111] In some embodiments of the present application, when processing multi-directional images, extracting feature points from the processed multi-directional images, and merging the processed multi-directional images to obtain a welding image, it includes:

[0112] Perform image processing on the multi-directional images, and the image processing includes geometric correction, contrast adjustment, and color balance;

[0113] Extract feature points from the multi - azimuth images processed by the first image processing, match the extracted feature points according to the second image processing, obtain the correlation results between the multi - azimuth images, correct the multi - azimuth images according to the correlation results, merge the corrected multi - azimuth images according to the third image processing, and refine and adjust the merged multi - azimuth images to obtain the welding image.

[0114] Specifically, geometric correction is used to correct the distortion in the image, ensuring the alignment between multi - azimuth images, adjusting the contrast, ensuring the color consistency between multi - azimuth images and balancing the brightness, thereby enhancing the details in the image. Color balance changes the color distribution of the image, reducing unnecessary image information for subsequent processing to improve the image quality. The first image processing uses SURF (Speeded Up Robust Features) to extract feature points, and the second image processing uses the RANSAC algorithm to determine the spatial relationship between multi - azimuth images and correct multiple multi - azimuth images, eliminating factors such as translation, rotation, and deformation caused by different photographing angles, so as to achieve precise alignment between multi - azimuth images. The third image processing merges the corrected multi - azimuth images through multi - band fusion, and during the merging process, a refinement adjustment is performed. The refinement adjustment means adjusting the texture of the multi - azimuth images to ensure texture consistency, reducing the visual abruptness, thereby obtaining a clear and accurate welding image, avoiding blurring, color difference, and inaccuracy in the photographed images caused by the welding operation environment, and laying an image foundation for subsequent repair welding operations.

[0115] In some embodiments of the present application, when determining whether to perform repair welding based on the welding image, when it is determined to perform repair welding, when obtaining the welding length of the unsuccessfully welded part and adjusting the target welding power according to the welding length and the welding contact length, it includes:

[0116] Judge whether there are cracks on the welding surface after the first - pass welding according to the welding image;

[0117] When it is judged that there are cracks on the welding surface, repair welding is performed;

[0118] When it is judged that there are no cracks on the welding surface, no repair welding is performed;

[0119] When it is judged to perform repair welding, obtain the power adjustment factor according to the welding length and the welding contact length. The power adjustment factor is obtained from the following formula:

[0120] ;

[0121] Wherein, represents the power adjustment factor, represents the welding length, represents the welding contact length, denotes the natural constant;

[0122] Adjust the target welding power according to the power adjustment factor, and the power adjustment factor is in a direct proportional relationship with the target welding power.

[0123] Specifically, by viewing the welding image, it is possible to detect whether there are cracks on the welding surface in real time. Cracks represent the welding quality during a single welding. When cracks appear, it means that the welding quality has problems and repair welding is required. And it is necessary to appropriately increase the target welding power to ensure that the repair welding can meet the welding quality requirements and avoid the expansion of welding defects, thereby ensuring the structural stability. The power adjustment factor can accurately adjust the target welding power, thereby improving the accuracy of repair welding and avoiding too little power input.

[0124] It can be understood that the power adjustment factor is calculated according to the relationship between the welding length and the welding contact length. For example: when the ratio of the welding length to the welding contact length is 0.5, the power adjustment factor is 1.16; when the ratio of the welding length to the welding contact length is 0.7, the power adjustment factor is 1.5. The larger the ratio of the un-successfully welded welding length to the welding contact length, the greater the proportion of the un-successfully welded part. It is necessary to increase the target welding power. By establishing a direct proportional relationship between the power adjustment factor and the target welding power, precise control of the target welding power is achieved. When the target welding power needs to be increased, the power adjustment factor will increase accordingly, thereby improving the repair welding quality and ensuring the structural stability.

[0125] Refer to Figures 2 - 3 As shown, it is a structural schematic diagram of a lattice column and a pipe pile applying a welding method for a lattice column and a pipe pile in the present application. A ring end plate 2 is fixedly connected to the bottom end of the lattice column 1 to increase the contact area when welding with the pipe pile 3, thereby enhancing the overall structural strength and shear resistance. When welding the ring end plate 2 and the pipe pile 3, a welding contact length is formed between the ring end plate 2 and the pipe pile 3. Determine the target welding power during welding according to the welding contact length to complete the welding operation, improving the reliability and welding quality of the welding.

[0126] In summary, the beneficial effects of the present invention are as follows: By judging whether the environmental particle concentration value meets the welding conditions, it ensures that the welding process is not interfered by environmental impurities, thereby improving the welding quality and reducing the risk of welding defects. By dynamically determining the initial welding power according to the welding contact length, it ensures that a suitable initial welding power can be matched in different welding contact length situations, avoiding welding defects caused by power mismatch. By determining the temperature similarity and comparing it with the similarity threshold, the adaptability to different environmental temperatures is achieved, and the initial welding power can be flexibly adjusted according to the actual situation, improving the stability and reliability of welding. The generated temperature response mark can accurately reflect the temperature change during the welding process, thus ensuring the accuracy of adjusting the initial welding power. By taking multiple multi-directional images through multi-directional shooting, performing image processing and feature point extraction, and then merging to obtain a complete welding image, it is possible to comprehensively grasp the welding completion effect, accurately identify welding defects, thereby providing image support for the decision-making of repair welding. The merging and feature point extraction effectively improve the reliability of the welding image, avoiding missing welding defects or misjudgment, and thus judging in real time whether the welding surface needs to be repaired, ensuring the welding integrity, reducing the judgment solely relying on manual experience, improving the welding efficiency, and ensuring the welding quality in different working environments.

[0127] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0128] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0129] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more processes and / or blocks Figure 1 in the process or processes and / or boxes Figure 1 specified in the box or boxes.

[0130] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to generate a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more processes and / or blocks Figure 1 in the process or processes and / or boxes Figure 1 specified in the box or boxes.

[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A welding method for lattice columns and pipe piles, characterized in that: include: Acquire multiple particle concentration data of the welding area, pre-process each particle concentration data, obtain an environmental particle concentration value based on the pre-processing result, judge whether the welding condition is met according to the environmental particle concentration value, and determine the initial welding power according to the welding contact length when the welding condition is met; Deploy multiple temperature analysis points in the welding area, obtain the temperature index value corresponding to each temperature analysis point, determine the ambient temperature value of the welding area according to all the temperature index values, compare the ambient temperature value with historical data, and determine whether to adjust the initial welding power according to the comparison result; When it is determined that the initial welding power is to be adjusted, the temperature similarity is determined according to the ambient temperature value and the historical data, when the temperature similarity is greater than or equal to the similarity threshold, the power adjustment coefficient is determined according to the historical data, when the temperature similarity is less than the similarity threshold, a temperature response mark is generated for the corresponding temperature analysis point according to the temperature index value, wherein the temperature response mark includes a temperature compliance mark and a temperature deviation mark, the power adjustment coefficient is determined according to the number of the temperature compliance mark and the temperature deviation mark, and the target welding power is obtained based on the power adjustment coefficient and the initial welding power; Welding is performed according to the target welding power, a plurality of multi-directional images taken in multiple directions after one welding is completed are obtained, the multi-directional images are processed, feature points are extracted from the processed multi-directional images, and the processed multi-directional images are merged to obtain a welding image, and it is determined whether to perform repair welding according to the welding image, and when it is determined to perform repair welding, a welding length of unsuccessful welding is obtained, and the target welding power is adjusted according to the welding length and the welding contact length; When preprocessing each particle concentration data, obtaining an environmental particle concentration value based on the preprocessing result, and judging whether the welding condition is met according to the environmental particle concentration value, it includes: The preprocessing includes data cleaning and data standardization; Counting all pre-processed particle concentration data and taking the average value to obtain the environmental particle concentration value; Comparing the environmental particle concentration value with the standard environmental particle concentration value to determine whether welding conditions are met; When the environmental particle concentration value is greater than or equal to the standard environmental particle concentration value, it is judged that the welding condition is not met; When the environmental particle concentration value is less than the standard environmental particle concentration value, it is determined that the welding conditions are met; When the welding conditions are met, the initial welding power is determined according to the welding contact length, including: Presetting a first preset welding power, a second preset welding power, and a third preset welding power; When the welding contact length is less than 1 m, the first preset welding power is used as the initial welding power; When the welding contact length is greater than or equal to 1 m and less than 1.5 m, the second preset welding power is used as the initial welding power; When the welding contact length is greater than or equal to 1.5 m, the third preset welding power is used as the initial welding power; Among them, the first preset welding power is smaller than the second preset welding power, and the second preset welding power is smaller than the third preset welding power.

2. The welding method of lattice column and pipe pile according to claim 1, characterized in that: When the ambient temperature value of the welding area is determined according to all the temperature index values, and the ambient temperature value is compared with the historical data, and whether to adjust the initial welding power is determined according to the comparison result, it includes: Sum all the temperature index values ​​and take the average to obtain the ambient temperature value; The historical data includes a historical qualified temperature value, a historical primary environment temperature value and a historical power adjustment coefficient, and the historical primary environment temperature value and the historical power adjustment coefficient correspond to each other; Comparing the ambient temperature value with the historical qualified temperature value in the historical data, and determining whether to adjust the initial welding power according to the comparison result; When the ambient temperature value is greater than the historical qualified temperature value, it is determined that the initial welding power should be adjusted; When the ambient temperature value is less than or equal to the historical qualified temperature value, it is determined that the initial welding power is not to be adjusted, and the initial welding power is determined as the target welding power.

3. The welding method of lattice columns and pipe piles according to claim 2, characterized in that: When determining to adjust the initial welding power, determining the temperature similarity according to the ambient temperature value and the historical data includes: The temperature similarity is obtained by the following formula: ； in, Indicates the ambient temperature value. Indicates the historical ambient temperature value. and represents the weight coefficient, and .

4. The welding method of lattice column and pipe pile according to claim 3, characterized in that: When the temperature similarity is greater than or equal to the similarity threshold, determining the power adjustment coefficient according to the historical data includes: A similarity threshold is preset, and when there is data with a temperature similarity greater than or equal to the similarity threshold in the historical data, and the data with a temperature similarity greater than or equal to the similarity threshold in the historical data is unique, the historical power adjustment coefficient corresponding to the data is used as the power adjustment coefficient; When the data in the historical data whose temperature similarity is greater than or equal to the similarity threshold is not unique, the historical power adjustment coefficient corresponding to the data with the greatest temperature similarity is used as the power adjustment coefficient.

5. The welding method of lattice columns and pipe piles according to claim 4, characterized in that: When the temperature similarity is less than the similarity threshold, generating a temperature response mark for the corresponding temperature analysis point according to the temperature index value includes: When there is no data in the historical data whose temperature similarity is greater than or equal to the similarity threshold, generating a temperature response mark for the corresponding temperature analysis point according to the temperature index value; Determine a standard temperature index value corresponding to each temperature analysis point, compare the temperature index value with the standard temperature index value, and when the temperature index value is less than or equal to the standard temperature index value, generate the temperature compliance mark for the corresponding temperature analysis point; When the temperature index value is greater than the standard temperature index value, the temperature deviation mark is generated for the corresponding temperature analysis point.

6. The welding method of lattice column and pipe pile according to claim 5, characterized in that: When the power adjustment coefficient is determined according to the number of the temperature compliance mark and the temperature deviation mark, and the target welding power is obtained based on the power adjustment coefficient and the initial welding power, the method includes: Counting the number of the temperature compliance marks and recording it as the compliance number, counting the number of the temperature deviation marks and recording it as the deviation number, and determining the power adjustment coefficient according to the ratio k of the compliance number and the deviation number; Presetting a first preset adjustment coefficient, a second preset adjustment coefficient, and a third preset adjustment coefficient; When k is less than 1, the first preset adjustment coefficient is used as the power adjustment coefficient; When k is greater than or equal to 1 and less than 1.5, the second preset adjustment coefficient is used as the power adjustment coefficient; When k is greater than or equal to 1.5, the third preset adjustment coefficient is used as the power adjustment coefficient; The target welding power is a product value of the power adjustment coefficient and the initial welding power.

7. The welding method of lattice columns and pipe piles according to claim 6, characterized in that: When processing the multi-directional image, extracting feature points from the processed multi-directional image, and merging the processed multi-directional image to obtain a welding image, it includes: Performing image processing on the multi-directional images, wherein the image processing includes geometric correction, contrast adjustment and color balance; The feature points are extracted from the multi-directional images after image processing according to the first image processing, and the extracted feature points are matched according to the second image processing to obtain the association result between the multi-directional images, the multi-directional images are corrected according to the association result, the corrected multi-directional images are merged according to the third image processing, and the merged multi-directional images are refined and adjusted to obtain the welding image.

8. The welding method of lattice columns and pipe piles according to claim 7, characterized in that: When judging whether to perform repair welding according to the welding image, when judging to perform repair welding, obtaining the welding length of unsuccessful welding, and adjusting the target welding power according to the welding length and the welding contact length, it includes: Determining whether there are cracks on the welding surface after one welding is completed according to the welding image; When it is determined that there are cracks on the welding surface, repair welding is performed; When it is determined that there is no crack on the welding surface, no repair welding is performed; When it is determined that repair welding is to be performed, a power adjustment factor is obtained according to the welding length and the welding contact length. The power adjustment factor is obtained by the following formula: ； in, represents the power adjustment factor, Indicates the welding length, represents the welding contact length, represents a natural constant; The target welding power is adjusted according to the power adjustment factor, and the power adjustment factor is proportional to the target welding power.

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