4478 results about "Weld bead" patented technology

The invention discloses a pulsed eddy current detection method and system for a thermal power pipeline with a coating layer, and relates to the technical field of pulsed eddy current nondestructive detection.The pulsed eddy current detection method comprises the steps that pulsed eddy current detection simulation and experiment are conducted under the condition of a three-dimensional simulation model and a test piece, and excitation current waveform, amplitude and frequency parameters are determined; an induced voltage signal is collected, peak values, time points and attenuation characteristics are extracted, the corresponding relation between the wall thickness, the coating layer thickness and the welding seam structure and detection signals is constructed, a parameterized database is constructed, and temperature correction is completed; and optimizing a sensor structure and a signal acquisition scheme according to a parameterized database, obtaining detection data in a pipeline operation state, completing two-dimensional imaging of wall thickness distribution and welding seam positioning, and forming detection information covering a straight pipe, an elbow and a welding seam area. According to the method, wall thickness detection and welding seam positioning of the thermal power pipeline under the conditions of a thick wall and a thick coating layer are achieved through the full-process design of test piece modeling, simulation experiment and imaging collection.

The invention belongs to the field of robot control, and particularly relates to a robot self-adaptive impeller welding control method and system fused with multi-modal data, and the method comprises the steps: obtaining an impeller workpiece image and three-dimensional point cloud data through an industrial vision subsystem, and extracting a three-dimensional welding seam position point set representing a welding seam track; generating a candidate welding path set based on welding seam geometric feature analysis; in combination with welding seam morphology and process requirements, optimal welding process parameters are predicted through a regression model, and a welding gun attitude angle is calculated through quaternion conversion according to a curved surface normal vector; in the welding process, the relative position deviation of a robot and a workpiece and the parameter deviation of welding current / voltage and a planned value are monitored in real time, when the deviation exceeds a preset tolerance interval, a PID control algorithm is adopted to dynamically adjust robot motion parameters or welding process parameters, and closed-loop control over the welding process is achieved; according to the method, precise planning of the welding path and self-adaptive regulation and control of the process are achieved, and the welding quality and the forming consistency are remarkably improved.

The invention discloses a non-standard weldment-oriented robot efficient collision-free path planning method and system, and belongs to the technical field of robot welding, and the method comprises the following steps: S1, obtaining three-dimensional model data of a non-standard weldment and an operation environment, and extracting welding seam point cloud data; s2, carrying out feature extraction and downsampling on the welding seam point cloud data to generate a group of key path points; s3, global optimization is conducted on the welding path through an improved genetic algorithm, candidate paths are generated, and the welding sequence of the multiple sections of welding seams and the welding gun postures at the key path points are optimized at the same time through the improved genetic algorithm; s4, evaluating the candidate paths generated by the improved genetic algorithm through a multi-target fitness function including path length, attitude stability and collision risk; and S5, outputting an optimal collision-free welding path according to an evaluation result, and converting the optimal collision-free welding path into a smooth track which can be executed by the robot. According to the invention, the high-efficiency, high-quality and collision-free welding gun motion trail can be automatically generated.

The invention relates to the technical field of pipeline welding automation, and discloses a pipeline multi-layer and multi-pass welding track self-adaptive planning method. The method comprises the steps that weld joint track poses, welding electrical parameters and temperature information are collected in real time, and a sliding time window data sequence is constructed; establishing an interlayer constraint model and a trajectory prediction model based on the sequence, and generating a plurality of trajectory deviation predictions through short-term recursive prediction and long-term sequence prediction; a residual error reciprocal weighted fusion strategy is combined with a welding seam forming quality evaluation function, fusion track deviation is obtained, and uncertainty is evaluated; the fusion deviation is superposed to an original planned trajectory, and a self-adaptive correction trajectory is generated through a multi-objective optimization model; and the welding robot is controlled to execute track correction and real-time feedback updating. According to the method, through dual-time scale prediction and trajectory-process parameter collaborative optimization, the problem of insufficient welding seam forming precision caused by lack of dynamic correction in traditional static planning is effectively solved, and the welding quality and efficiency are remarkably improved.

The invention provides a pipeline welding all-position welding seam identifying and tracking system and method, and belongs to the technical field of pipeline welding automation. In order to solve the problems of strong arc light interference, low tracking precision, slow response speed and insufficient robustness in the existing pipeline all-position welding tracking technology, the system comprises a sensing layer, a processing layer, a decision-making layer and an execution layer. The welding seam identifying and tracking method comprises the following steps: S1, calibrating the welding seam identifying and tracking system; s2, all-position welding tracking is carried out; and S3, performing adaptive adjustment on different scenes. According to the method, dynamic weighted fusion and fuzzy PID control are adopted, multi-posture welding such as flat welding, vertical position welding, horizontal position welding and overhead position welding can be automatically adapted, parameters do not need to be manually adjusted, and the operation threshold is lowered.

The invention relates to the technical field of process optimization, in particular to a collaborative optimization analysis method for multi-station tower drum welding. In order to solve the problem that cooperative control of tower drum multi-station welding is difficult, firstly, multi-mode sensing data of welding seam vision, arc sensing, thermal field distribution and welding voiceprint are loaded, a fusion evaluation model is constructed to obtain a welding seam deviation value and a sensor confidence score, and the health state of a sensor is judged according to a threshold value; and a corresponding fault-tolerant reconstruction control mode is triggered to obtain welding tracking control parameters, then a multi-station welding heat source model is loaded, thermal interference is decoupled in combination with the control parameters and thermal field data, multiple stations are cooperatively regulated and controlled, a cooperative control instruction is output and executed, and welding process optimization is achieved.

The invention provides an auxiliary device for steel pipe construction welding, and relates to the technical field of pipeline welding, and the auxiliary device comprises two arc-shaped bearing bodies, an auxiliary main frame, an aligning mechanism and a rotary driving system. The central angle of the arc-shaped bearing body is larger than 180 degrees, automatic centering of the steel pipes is achieved through the outer pressing supporting rod assembly and the inner positioning supporting rod assembly, and it is guaranteed that the two sections of steel pipes are concentric. And the welding head mounting seat is connected with the rotary driving piece through the arc-shaped movable clamping body to drive the welding head to continuously rotate around a welding seam, so that high-quality girth welding is completed. The device solves the problems of low centering precision and poor efficiency in traditional welding, has the advantages of high automation degree, high stability, convenience in assembly and disassembly and the like, and is suitable for quick welding of municipal steel pipe engineering.

Disclosed in the present application are a dual-sided laser synchronous welding heat source model establishment method, a dual-sided laser synchronous welding heat source simulation method, a dual-sided laser synchronous welding system, and a medium. Firstly, combined heat sources each comprising a Gaussian cylindrical heat source attenuation model and a Gaussian surface heat source correction model are established, and a dual-sided laser synchronous welding heat source model is established by means of a rotating coordinate system; a three-dimensional geometric model and a three-dimensional mesh model of a T-joint are established; and the consistency between simulated molten metal morphology and an actual weld shape is used as a criterion for determining whether parameter settings of the dual-sided laser synchronous welding heat source model are rational, so as to obtain an optimal finite element simulation heat source model. By establishing two heat sources each obtained by combining a Gaussian cylindrical heat source attenuation model and a Gaussian surface heat source correction model, and symmetrically applying the two heat sources to two sides of a T-joint to act on the interior and surface of a weld, the present invention realizes the accurate simulation of a weld penetration zone in a T-shaped thin-plate weldment, and thus enables the prediction of residual stress and welding deformation during a design phase, thereby optimizing the welding process, improving the welding quality and efficiency, and reducing material waste and production costs.

The invention relates to the technical field of welding automation, and discloses an intelligent welding system for an electric pole steel reinforcement framework. The system comprises a welding execution module, a multi-mode sensing module, an edge calculation module, a real-time regulation and control module and a system control center. Synchronous collection and real-time analysis of images, temperature and sound signals of a welding pool area are achieved, so that defects such as air holes, slag inclusion and incomplete fusion can be recognized online in a key time window when the welding pool is not solidified, and time delay caused by a traditional off-line detection mode is thoroughly eliminated. Through a real-time regulation and control module, on the basis of a multi-target optimization decision and parameter self-adaptive adjustment mechanism, the system can dynamically adjust key process parameters such as welding current, arc voltage and welding speed at the moment of identifying defect germination or process deviation, and real-time intervention and closed-loop control on welding quality are achieved; therefore, the final formation of defect welding seams is avoided fundamentally, and the rework rate and the material waste are remarkably reduced.

The invention discloses a spiral steel pipe weld defect detection device applied to X-ray detection, and relates to the field of steel pipe weld detection, the spiral steel pipe weld defect detection device comprises a base and a movable platform mounted at the upper end of the base, and the upper end of the base is provided with a steel pipe; a stirring roller and a lifting roller are rotationally installed at the upper end of the movable platform and located below the steel pipe fitting. According to the spiral steel pipe welding seam defect detection device applied to X-ray detection, high-pressure wind power is transmitted to the flow dividing pipeline through the pressurizing air outlet by the air blower, and the transmitted high-pressure air carries pressure to penetrate through an opening gap in the surface of the lifting roller to impact on the surface of a steel pipe; the cleaning brush at the upper end is driven to move back and forth in a reciprocating manner in cooperation with limiting of a movable plate and a limiting rod, so that surface residual impurities generated by contact of a pressurizing air outlet and a steel pipe fitting are subjected to auxiliary guiding and removing work, and flaw detection can be more accurate.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, that provide for welding techniques for manufacturing robots, such multipass welding techniques for welding robots. For example, the welding techniques may enable generation of weld instructions based on a welding fill plan. The instructions may be generated based on a bead model or a table that indicates a wire feed speed, a travel speed, or a voltage. As another example, the techniques may enable generation of weld instructions based on the one or more dimensions of a seam. As another example, the techniques may enable generation of a joint model of a cross-section of a seam to be welded. The joint model may be generated based on a combination of a plurality of feature components to generate the joint model of the seam. Other aspects and features are also claimed and described.

The invention relates to a welding pose track generation method of a workpiece fillet weld, a medium and equipment. The method comprises the following steps: acquiring a two-dimensional workpiece weld point; performing three-dimensional reconstruction on the two-dimensional workpiece welding seam points to obtain a three-dimensional workpiece welding seam point cloud; a plurality of geometric equations in the three-dimensional workpiece welding seam point cloud are extracted, track regeneration is conducted according to the geometric equations, and an initial welding track and key welding seam point coordinates are obtained; and attitude mapping is conducted according to the prior welding attitude and the key welding seam point coordinates, interpolation calculation is conducted according to the initial welding track, and a final welding pose track is obtained. The problems that in the prior art, the actual space pose of a workpiece cannot be sensed online, the three-dimensional contour of a fillet weld cannot be automatically recognized, and the motion trail of a robot cannot be generated in real time are solved.

The invention provides a boiler welding seam full-automatic detection system and method based on machine vision and an ultrasonic phased array, and relates to the technical field of boiler detection.The system comprises a six-axis mechanical arm unit, a multi-degree-of-freedom boiler fixing platform unit and a welding seam type recognition device; the boiler is arranged on the multi-degree-of-freedom boiler fixing platform unit and used for driving the boiler to do vertical motion, inclined motion and rotary motion, the six-axis mechanical arm unit is arranged on one side of the multi-degree-of-freedom boiler fixing platform unit, the welding seam type recognition device is arranged at the tail end of the six-axis mechanical arm unit, and the welding seam type recognition device is arranged on the other side of the multi-degree-of-freedom boiler fixing platform unit. And the six-axis mechanical arm unit is used for driving the welding seam type identification device to move and identifying a circular seam and a longitudinal seam of the boiler. According to the invention, full-process automation of boiler welding seam detection is realized, the detection efficiency and the defect detection rate are improved, the safety risk of manual detection is eliminated, and the detection quality consistency and the industry standardization level are remarkably improved.

The invention relates to a welding gun self-adaptive swing adjusting system and method. The system comprises a detection module, a control module, an execution module, a man-machine interaction module, a power module and a storage module. The detection module detects welding seam unevenness information, and after receiving the information, the control module judges whether to drive the execution module to adjust a welding gun to swing or not according to a preset threshold value determined on the basis of the vertical distance between a replaced plate welding initial point and the detection module and the process fluctuation range; meanwhile, a welding seam is tracked through a point-by-point comparison method based on the linear interpolation principle, the moving direction is judged through a deviation function, the feeding direction is determined through a coordinate absolute value and a symbol in a full quadrant, interpolation is stopped when the total step length is gradually decreased to zero, and the method comprises the steps of module initialization, parameter setting, communication detection, judgment and adjustment and welding seam tracking. The invention aims to solve the problems of poor welding quality, low efficiency and more manual intervention caused by poor welding seam flatness, large gap and high-low misalignment in the welding process.

The invention discloses an assemblage multi-robot collaborative welding system in ship sections, and relates to the technical field of industrial robot collaborative control, the assemblage multi-robot collaborative welding system comprises an industrial internet platform, the industrial internet platform is in communication connection with the following modules: a visual inspection modeling module, which is used for scanning the surface of a workpiece through a 3D camera, constructing a point cloud model, and establishing a point cloud model; matching the point cloud model with a design drawing, and identifying a deviation between an actual workpiece and the drawing; and the path planning and correcting module is used for planning a collision-free welding path in combination with the visual detection data and the motion range of the robot. Through high-precision visual inspection scanning and an SLAM matching algorithm, a workpiece point cloud model is constructed in real time and is accurately aligned with a design drawing, the welding seam position and the workpiece geometric deviation can be accurately recognized, a collision-free welding path is generated in combination with robot kinematics constraint and a safety boundary, it is ensured that the pose of the tail end of a welding gun is attached to the surface of the workpiece, and the welding quality is improved. Welding deviation is reduced, and process stability is ensured.

The invention provides a swing control method based on molten pool oscillation multi-feature fusion and related equipment, and relates to the technical field of welding, the method comprises the steps that in the argon arc welding process, an electric arc signal and a molten pool oscillation signal of a variable wall thickness welding area are collected in real time; oscillation amplitude, main frequency characteristics, current fluctuation coefficients and voltage-current phase difference characteristics are extracted from the molten pool oscillation signals and the electric arc signals and combined, and an oscillation comprehensive characteristic matrix is obtained; inputting the oscillation comprehensive characteristic matrix into a pre-trained classification model, and identifying a current molten pool state type; a corresponding swing compensation strategy is matched according to the state type of the molten pool, and asymmetric swing parameters are generated; and the asymmetric swing parameters and a preset basic welding track are subjected to superposition operation, and a composite control instruction is generated to control a welding gun to execute asymmetric swing welding. By implementing the method, different abnormal states of different molten pools can be subjected to differential control, and the stability of the variable-wall-thickness welding process and the forming quality of a final weld joint are improved.

The invention belongs to the technical field of welding automation, and provides a welding gun posture self-adaptive adjusting method and system for a complex welding seam, and the technical scheme is that point cloud data of a to-be-welded welding seam is converted into a welding seam track, key features of the welding seam are extracted based on the welding seam track, and key points of the welding seam are determined; calculating the tangential direction and the normal direction of each welding seam key point; aiming at different types of welding seams, performing segmented path planning in combination with the key characteristics of the welding seams to obtain an ideal movement track of a welding gun, and determining the posture of the welding gun based on the ideal movement track of the welding gun in combination with the tangential direction and the normal direction of each welding seam key point; calculating the deviation between the welding gun and the welding seam according to the point cloud data collected in real time and the ideal track of the welding seam, generating a posture correction instruction according to a deviation calculation result, and adjusting the path and posture of the welding gun to ensure that the welding gun always keeps an optimal angle with the surface of the welding seam. And the welding quality and adaptability are improved.

The invention relates to an X-ray weld defect intelligent detection method based on weld line perception and reversible domain mapping, which comprises the following steps: collecting a gray X-ray image of a weld region, and carrying out joint labeling on a weld center line track and a defect mask to construct a standardized training data set; designing a weld line sensing hybrid neural network architecture; performing end-to-end training on the network by using a joint loss function formed by detection task loss and center line consistency constraint to realize collaborative optimization of defect category discrimination and spatial positioning; and deploying the trained model in an automatic welding quality detection system, performing forward reasoning on X-ray images acquired in real time, and continuously outputting defect detection results with accurate category, position and form information in combination with a post-processing strategy of weld direction clustering. According to the invention, stable and accurate identification of slender and weak-texture weld defects under the condition of bent welds is realized, and automation and reliability of nondestructive detection of welds are remarkably improved.

The invention provides a curved surface segmented welding deformation prediction method and system, and relates to the field of data processing. According to the method, the welding heat input quantity is generated by obtaining the assembly error of a rib plate and a curved surface outer plate in a curved surface section, establishing the relation between the welding bead deposition area and the assembly error, constructing a welding heat input evaluation model and introducing a welding bead remelting coefficient. And determining a welding equivalent mechanical load based on the material thermodynamic parameters, inputting the welding equivalent mechanical load into the finite element model, and generating heated welding deformation prediction data. The gravity of the curved surface segments and the restraining force of the pressing block are converted into uniform volume force, and deformation precision analysis data are obtained; and constructing a contact unit model to analyze a contact state and a springback effect, and generating stress welding deformation prediction data. And finally, generating a welding deformation prediction result of the curved surface segment based on the data. By implementing the technical scheme provided by the invention, the prediction accuracy of the curved surface segmented welding deformation can be improved.

The utility model provides a heat exchanger tube head welding seam pressure test tool which comprises a shell pass, a connecting piece, a sealing ring and a tube plate. A connecting piece is arranged on one side of the shell pass, a tube plate is clamped on the free side of the connecting piece through a sealing ring, and a through hole is formed in the connecting piece close to the sealing ring and faces the shell pass in a penetrating mode. The shell pass, the connecting piece, the sealing ring and the tube plate are matched with one another, gas or water is blown to the tube plate through the shell pass, part of gas or water extrudes the sealing ring through the through hole to enable the sealing ring to clamp the tube plate, and at the moment, whether the pressure test of the welding seam of the tube head is qualified or not can be determined by observing whether the welding seam of the tube plate and the heat exchange tube leaks gas or water or not. The pressure test can be conveniently and efficiently carried out on the pipe head welding seam.

The invention discloses a welding slag ladle for containing copper slag and a design method. The welding slag ladle is suitable for containing, cooling and inverted placing procedures of high-temperature copper slag. The cinder ladle comprises a cylinder body, a ladle bottom, rib plates, trunnions and supporting legs, the cylinder body and the ladle bottom are formed by welding high-temperature-resistant and high-strength rolled plates, the thickness of the cylinder body is 70-100 mm, and the thickness of the ladle bottom is 80-120 mm; setting an inclination angle beta of 11.5-21 degrees relative to the center line of the bus of the cylinder body, and controlling the roughness of the inner wall to be less than or equal to 12.5 microns so as to reduce the separation resistance after the copper slag is cooled; thickness combination, stress distribution, deformation and rib plate arrangement are optimized through structural mechanical simulation, and it is ensured that the structural strength meets the requirements under high temperature and thermal cycle loads; full penetration weld joints are adopted, nondestructive testing is carried out, and the welding reliability is guaranteed; compared with a traditional casting cinder ladle, the mass of the cinder ladle is reduced by 10%-15%, the deslagging efficiency is improved, the service life is prolonged to more than two times of the original service life, and the cinder ladle has the advantages of being light in structure, high in bearing capacity, high in deformation resistance and good in maintainability.

The invention relates to the technical field of industrial automatic detection and machine vision, and discloses a steel pipe welding seam defect detection method and system based on machine vision, and the method comprises the steps: obtaining original image data of a bent welding seam area, and extracting a preliminary contour point set; analyzing curvature identification key turning points of the initial contour point set; carrying out geometric segmentation and fitting on the contour according to the key turning points, and constructing a complete boundary point sequence containing a starting point and an ending point; according to the complete boundary point sequence, dividing areas and carrying out defect classification to obtain a defect positioning result; tracking a defect boundary from the defect positioning result, and determining a final evaluation range. According to the method, the technical problem of low steel pipe weld defect detection precision in the prior art is solved through accurate geometric analysis of the complex weld contour.

The invention relates to the technical field of laser welding, and discloses a laser welding method for accurately controlling weld penetration. According to the invention, through fusion of coaxial multispectral sensing and a back monitoring unit, multi-dimensional information synchronous acquisition of weld front molten pool morphology, a temperature field and a back thermal radiation signal is realized, and limitation of single sensing is overcome; furthermore, a dynamic instruction is generated based on the extracted multi-characteristic parameters and an adaptive fuzzy PID algorithm, thereby realizing precise closed-loop control of laser energy and heat input, and improving real-time performance and robustness of control. Particularly, a digital twin model is introduced to carry out forward prediction, cross validation is carried out with back monitoring signals, a triggered lead compensation mechanism effectively overcomes hysteresis of traditional feedback control, finally, precision control and stable forming of weld penetration are achieved, the defects of incomplete penetration, burnthrough and the like are effectively avoided, and the welding quality is improved. And the device is particularly suitable for occasions with extremely high welding quality requirements.

The application discloses a kind of thick gauge 430 ferritic stainless steel laser weld low-temperature rollability processing method, comprising: using-1~‑2mm negative defocusing+8~10kW low-power laser welding, the grain of heat-affected zone is refined;NiCr-3 welding wire is preheated to 300~400℃ and carried out hot wire laser welding, reduces cooling rate;Weld is implemented 700 DEG C / 10-12 seconds short time induction annealing, decomposes martensite and releases residual stress;Weld is inducted to ≥50 DEG C before rolling and restores plasticity;Optimize five rack continuous rolling parameter, and the reduction of first rack is reduced to 15%-20%.The application is by welding-heat treatment-rolling whole process synergic control, makes weld low-temperature cracking rate from 2.6 times / month reduce to 1 times below, and-10 DEG C impact toughness is promoted to 22J, cup convexity qualification rate reaches 95%, and annual economic benefit is greatly improved, applicable to the thickness 3.0~8.0mm 430 stainless steel cold rolling production, solves the technical problem that thick gauge 430 stainless steel weld is easy to crack under low-temperature environment.

The invention discloses a full-circle needle beam trolley and method based on compressed air energy storage and relates to the technical field of tunnel construction, the full-circle needle beam trolley comprises a needle beam assembly, and supporting legs are arranged at the bottoms of the front end and the rear end of the needle beam assembly; the template assembly is arranged outside the needle beam assembly in the front-back direction of the needle beam assembly, and the template assembly at least comprises a first template group and a second template group; the beam frame assembly is arranged on the outer side of the needle beam assembly, and a supporting piece is arranged between the beam frame assembly and the template assembly so as to connect the beam frame assembly and the template assembly; guide mechanisms are arranged at the front end and the rear end of the needle beam assembly, so that the beam frame assembly drives the supporting piece and the template assembly to slide forwards and backwards along the needle beam assembly under the traction of the guide mechanisms. According to the embodiment of the invention, modular trolley, closed-loop sensing and automatic welding / grouting are realized, template positioning and welding seam and grouting quality are ensured, and leakage and reworking risks are reduced.

The invention discloses a laser-assisted helium arc penetration fusion welding method, and belongs to the technical field of welding. The problems that according to an existing paraxial laser-electric arc composite structure, the welding track is difficult to control, the energy coupling efficiency is low due to laser energy loss, and weld joint partial melting and undercut defects are caused due to uneven distribution of a welding temperature field due to a generated asymmetric heat source are solved. The welding method comprises the steps of 1, pretreatment; 2, after being focused by a focus lens, the laser is divided into three laser beams through a spectroscope, then the three laser beams are converged again through a plurality of reflectors, three fan-shaped light spots are formed on the surface of the to-be-welded plate after convergence, and finally the focal plane position of the laser is adjusted to be located on the surface of the to-be-welded plate; 3, setting welding current and arc voltage; and fourthly, laser is used for assisting helium arc penetration fusion welding. The method is used for laser-assisted helium arc penetration fusion welding.

The present application relates to a kind of welding actuators and track type welding robots, welding actuators include torch assembly, torch transverse angle adjustment assembly, torch swing assembly and torch vertical angle adjustment assembly, set torch transverse angle adjustment assembly, torch vertical angle adjustment assembly jointly drive torch assembly complete the quick and effective adjustment of relative angle of torch and the combined joint to be welded, set torch swing assembly can be small amplitude orderly swing to the welding wire in molten state, to meet the welding action demand and fully guarantee weld forming quality;Track type welding robot includes welding actuators, shell, track mechanism, walking mechanism, walking drive mechanism, lifting mechanism and reinforcing rib plate, can drive welding actuators to adjust welding position in horizontal direction and vertical direction, combined with different working condition requirements, can realize the functional requirements when carrying out structural member flat angle welding.

The invention relates to the technical field of pipeline welding, in particular to a thermal power plant pipeline system circumferential welding device which comprises a positioning and clamping set used for fixing a pipeline and further comprises a position adjusting set which is arranged on one side of the positioning and clamping set and comprises a movable sliding block. And a mounting seat is mounted at the upper end of the sliding block through a plurality of spring telescopic rods. By means of the alignment welding set and the guide reserving sets evenly distributed in the circumferential direction, the moving pipelines can be automatically guided, self-adaptive fine adjustment can be provided in the butt joint process of the two pipelines, the coaxiality can be fed back in real time, it is ensured that the ends of the two pipelines and the supporting ring are coaxially distributed, manual repeated calibration is not needed, and the production efficiency is improved. And in addition, the width of the welding seam between the two pipelines can be determined in the one-time alignment process, a feeler gauge does not need to be used for repeatedly detecting and adjusting the distance between the pipelines, and the pipeline welding efficiency is improved.

The invention provides municipal water supply pipeline welding equipment, and relates to the technical field of welding, the municipal water supply pipeline welding equipment comprises an upper clamping ring and a lower clamping ring, the upper clamping ring and the lower clamping ring define a circular ring, supporting semi-rings are fixed to the two upper clamping rings and the two lower clamping rings respectively, and a connecting plate is fixedly connected between the left supporting semi-ring and the right supporting semi-ring; telescopic moving wheels are arranged on the supporting semi-rings respectively, a supporting frame is connected between the two telescopic moving wheels, an extrusion wheel is connected to the supporting frame, an air bin is arranged on the supporting frame and arranged on the side, away from the extrusion wheel, of the welding head mechanism, the lower portion of the air bin is attached to the surface of the water pipe, and an air suction heating mechanism is arranged in the air bin and is in transmission connection with the telescopic moving wheels. An inclined plate is fixedly connected into the air bin, hot air is absorbed into the air bin, the solidification speed of a brazing rod solution is slowed down, the flowing speed of the brazing rod solution to a V-shaped groove welding seam is increased, the brazing rod solution is pushed to the V-shaped groove welding seam by arranging the inclined plate, and then the brazing rod solution is rolled by arranging an arc-shaped pressing roller.

The invention relates to the technical field of steel structure welding, and discloses a method for machining and detecting a square rectangular steel pipe for an assembly type steel structure residence, and the method comprises the following steps: obtaining the wall thickness and a to-be-welded position of a to-be-machined steel pipe, determining a groove parameter according to the wall thickness, and welding at the to-be-welded position by adopting laser-arc hybrid welding based on the groove parameter, welding seams are formed; visual data, ultrasonic data, stress data and deformation data of the welding seam are obtained; and performing fusion analysis based on the visual data, the ultrasonic data, the stress data and the deformation data, evaluating the safety level of the welding seam according to a fusion result, and performing risk early warning based on the safety level. According to the method, the wall thickness is matched with groove parameters, laser-arc hybrid welding is carried out, the welding adaptability and efficiency are improved, the welding seam quality is optimized, multi-dimensional data are synchronously collected in the welding process, real-time linkage of machining and detection is achieved, multi-data fusion analysis supports welding seam safety level evaluation, potential quality hazard recognition is carried out, and high-quality construction of the fabricated steel structure house is assisted.