10192 results about "Weld bead" patented technology

An automatic surfacing device, comprising a welding execution system, a visual identification system and a welding intelligent control system. The present invention further relates to a surfacing control method, comprising: establishing a corresponding rule table between welding process parameters and welding bead topography relationship parameters; establishing coordinate systems, planning a welding trajectory, and presetting welding parameters; starting welding, and compensating for the welding width and welding reinforcement of a welding bead in real time; and performing scanning and detection, and providing a reminder to repair the position of a defect and a reminder for depth information. In the method, on the basis of an MIG welding procedure, highly automated welding is performed on a plurality of welding layers (an underlying layer, a transition layer and a wear-resistant layer) of a surfacing roller sleeve, thereby improving the production efficiency. During a welding process, closed-loop controlling is performed on the quality of each welding link, thereby guaranteeing the quality consistency of welded finished products.

The invention relates to the technical field of data processing, and discloses a steel structure welding seam quality ultrasonic detection method and system. The method comprises the following steps: scanning a welding seam to obtain digital parameters, constructing a virtual model to generate an ultrasonic response database, optimizing a detection parameter forming scheme, executing distributed acquisition to obtain a signal matrix, extracting defect features by using a neural network, and outputting a digital detection report through transfer learning. According to the method, automatic optimization of detection parameters and accurate extraction and intelligent analysis of defect features are realized, the accuracy, efficiency and reliability of detection are improved, and the dependence on artificial experience is reduced.

The invention provides an intelligent high-performance collaborative welding robot system, which belongs to the technical field of welding robots and comprises a multi-degree-of-freedom welding robot body, an intelligent control system, a high-performance welding power supply and auxiliary equipment. A welding process control module firstly obtains three-dimensional information of a workpiece based on visual inspection to construct a welding path; then selecting matched process parameters according to material characteristics and welding seam shapes; establishing a welding error matrix to monitor the welding process in real time; constructing a parameter error adjustment matrix for dynamic adjustment; analyzing parameter fluctuation by adopting a neural network to identify molten pool characteristics; the pre-trained neural network is used for evaluating the welding seam quality; and finally, a multi-robot collaborative welding strategy is integrated to achieve efficient operation, and the technical problem that in the prior art, welding process parameters in a welding robot are difficult to adjust accurately in real time so as to adapt to complex working condition changes is solved.

The invention provides a teaching-free welding robot path planning system based on visual autonomous learning, and relates to the technical field of industrial welding, and the teaching-free welding robot path planning system comprises a pose compensation module which is used for arranging three infrared reflective mark points on the surface of a clamp base in an L shape, collecting original point clouds of the mark points and a workpiece by using a stereo camera, and preprocessing the point clouds; generating a pose compensation matrix based on the offset of the actual coordinate and the theoretical coordinate of the mark point, and outputting a de-noising point cloud data set and a compensation matrix; and the pose correction module is used for fitting a workpiece plane equation by adopting a random sampling consistency algorithm on the basis of the de-noised point cloud data set, acting a pose compensation matrix on the workpiece plane equation, correcting a pose error caused by clamp drifting, calculating a welding seam track end point coordinate and outputting a corrected welding seam pose parameter and a scanning pose instruction. According to the method, clamp drift can be compensated, weld joint poses can be corrected, three-dimensional features are extracted, a collision-free path is planned, and the welding precision, efficiency and automation degree are improved.

The invention relates to the technical field of welding, in particular to a corrosion steel welding cooperative control method and system. Comprising the following steps that welding seam geometric parameters, molten pool dynamic characteristic parameters and welding heat input parameters in the corrosion steel welding process are collected in real time through a multi-dimensional sensor array; constructing a corroded steel welding seam feature space model based on the welding seam geometric parameters, and determining material corrosion grade distribution and mechanical property parameters of a welding seam area in combination with a preset corroded steel material database; a molten pool form evolution prediction model is established through an adaptive Kalman filtering algorithm by utilizing the dynamic characteristic parameters of the molten pool and the welding heat input parameters, and the solidification behavior and the welding seam forming trend of the molten pool are predicted in real time; according to the material corrosion grade distribution, the mechanical property parameters and the molten pool forming trend, a dynamic adjustment strategy of the welding process parameters is generated through a multi-objective optimization algorithm; the reliability and safety of the corrosion steel welding joint can be improved.

The invention discloses a welding detection method and application thereof in welding monitoring of an LNG (liquefied natural gas) storage tank. According to the scheme, 3D point cloud data, surface image data and cross-sectional image data acquired from a welding seam by combining a 3D laser scanner, an industrial camera and an ultrasonic phased array probe are subjected to multi-modal data fusion; the fusion data is input into a trained defect recognition model, so that the weld joint can have a more perfect data source in quality detection classification, and a reliable data basis is provided for weld joint detection; besides, according to the scheme, a welding seam model based on digital twinning is constructed on the basis of fusion data, in this way, when the welding seam has defects caused by abnormal welding, the welding seam model constructed by the digital twinning model can be used for positioning the defects and outputting local welding seam model data with the defects, and meanwhile, by combining a detection result, the defect detection accuracy is improved. And more visual and reliable detection feedback can be provided for background management personnel.

The invention discloses a weld joint key point recognition method, device and equipment, a medium and a program product, and the method comprises the steps: generating a data set based on training image data and annotation data, constructing an original recognition model, improving the original recognition model, and training and optimizing the improved original recognition model based on the data set. Obtaining a target recognition model; acquiring a depth image and an RGB image of the welding part through image acquisition equipment on the welding robot; the RGB image is input into the target recognition model for weld joint key point recognition, weld joint key point coordinates of the welding part are determined based on the recognition result and the depth image, accurate recognition of the weld joint key points is achieved, a welding robot is guided to accurately reach the weld joint key point coordinate positions for welding, key point recognition autonomy and adaptability are improved, and the welding quality is improved. And welding tasks with different requirements are effectively adapted, the welding efficiency is greatly improved while the welding quality is ensured, and the time cost is reduced.

This application relates to the technical field of battery packs, and a battery pack lower box body, a battery pack, an apparatus, and an assembly method of battery pack lower box body are provided. The battery pack lower box body includes a box frame, a base plate, a stiffening beam, and a stiffener. The base plate is arranged at the bottom of the box frame; the stiffening beam is arranged inside a space enclosed by the box frame and on top of the base plate; and the stiffening beam is fixed to the box fame via the stiffener, and the stiffener is welded to the box frame to form a weld seam, where a length of the weld seam is kept greater than a sum of side lengths of a projection of the stiffening beam onto the box frame.

The invention belongs to the technical field of pipeline welding seam detection, and discloses a thick-wall pipeline welding seam defect online detection device which comprises a workbench, a first hydraulic cylinder and a supporting ring, a working frame is installed at the telescopic end of the first hydraulic cylinder, two sets of conveying rollers are rotationally installed in the working frame, and a first motor is installed in the working frame; the two conveying rollers are in transmission connection with a first motor through a gear set. The device upwards enters an induction area between micro gratings through a barrier strip, a third hydraulic cylinder is automatically shut down through a controller, the compression distance of a second spring by a limiting ring is kept constant, and when an ultrasonic probe faces workpieces of different sizes, only the telescopic stroke of the third hydraulic cylinder needs to be adjusted, the barrier strip is made to move to a designated position, and the ultrasonic probe can be automatically controlled. The compression stroke of the second spring can be kept unchanged, so that the pressure between the ultrasonic probe and the surface of the workpiece is constant, excessive abrasion of the bottom surface of the ultrasonic probe caused by excessive pressure is avoided, and the service life of the device is prolonged.

The invention discloses a distributed reinforcement learning control method and system for multi-robot cooperative welding. A heterogeneous multi-robot task allocation algorithm, a multi-agent reinforcement learning model and welding parameters are combined. The method comprises the steps that a state space containing welding current, voltage, speed, welding gun posture, welding seam position and environment obstacle distribution is constructed, and an initial feasible operation area of the robot is determined; the overall welding task is decomposed into sub-tasks, and candidate robots are distributed; configuring a local decision module for each robot, and outputting an action decision containing a welding gun track adjustment amount and a parameter correction value; setting a global coordination module to generate coordination factors; each robot updates the decision and converts the decision into a driving instruction to execute operation, and molten pool temperature and weld size parameters are collected; the parameters are fed back to the model to adjust the state space characterization and decision weight. According to the method, decision collaborative precision is improved in combination with process parameters, self-adaptive optimization is achieved through real-time feedback, and collaborative welding efficiency and quality are improved.

An apparatus for polishing a butt weld includes a machine frame; a polishing mechanism, including a rotating arm, a supporting column rotatably mounted on the rotating arm, and a polishing roll rotatably mounted on the supporting column in a circumferential direction of the polishing roll; an angle limiting assembly, movably mounted on the rotating arm, the angle limiting assembly limiting an angle at which an outer side end of the supporting column swings upward; a roll driving part, mounted on the rotating arm. The roll driving part is in transmission connection with the polishing roll and drives the polishing roll to rotate on the supporting column in the circumferential direction of the polishing roll. An arm driving part is mounted on a fixed frame, the rotating arm being mounted on the arm driving part, and the arm driving part drives the rotating arm to rotate in a circumferential direction.

A method of joining a first work-piece to a second work-piece is provided. Each of the first work-piece and the second work-piece include a top surface, an opposed bottom surface, and a side surface connecting the top surface and the opposed bottom surface. In one aspect, the method includes positioning the side surface of the first work-piece adjacent to the side surface of the second work-piece, and advancing a friction stir additive manufacturing tool across the top surface of the first work-piece and the top surface of the second work-piece along a weld line between the first work-piece and the second work-piece. As the friction stir additive manufacturing tool advances along the weld line, a filler material is deposited along the weld line and into a plurality of through holes formed in either or both of the first work-piece and the second work-piece. Each of the plurality of through holes includes a first opening on the top surface, a second opening on the opposed bottom surface, and a passageway through the work-piece between the first opening and the second opening. The method further includes joining the first work-piece and the second work-piece together.

The invention relates to the technical field of building steel pipe welding machining, and discloses a steel pipe welding device suitable for constructional engineering, which comprises a mounting table, a mounting groove is formed in the mounting table, and two first bidirectional threaded rods are rotatably connected in the mounting groove; according to the steel pipe welding device suitable for the constructional engineering, two steel pipes are placed in the mounting ring, then the steel pipes are clamped and fixed through a clamping mechanism in the mounting ring, and then the steel pipes are driven to move, so that the steel pipes are welded to the mounting ring, and the steel pipes are welded to the mounting ring. Then the steel pipe groove grinding mechanism is used for automatically grinding grooves of the two steel pipes, the welding mechanism is used for automatically welding the steel pipes after grinding is completed, and meanwhile, the welded weld joints are automatically ground, so that groove grinding and welding integrated full-automatic machining of the steel pipes of different sizes is achieved; and the welding efficiency and the welding effect of the steel pipe are greatly improved.

A friction stir additive welding device configured to join a first work-piece and second work-piece is provided. In one aspect, the device includes a nosecone having a sidewall extending from a first end to a second end, a channel extending from the first end to the second end along a longitudinal axis of the nosecone, and a screw positioned within the channel. The first end is configured to couple the nosecone to a robotic arm and the second end has a surface configured to be advanced along a weld line between the first and second work-pieces. A central axis of the screw defines an angle that is less than 90 degrees relative to a plane that is perpendicular to surfaces of the first and second work-pieces as the surface of the nosecone advances along the weld line.

The invention provides an inner flanging welding method of a water tank inner container and the water tank inner container, and relates to the technical field of welding manufacturing, and the inner flanging welding method comprises the following steps: obtaining three-dimensional point cloud data of an inner flanging interface of the water tank inner container in real time, and registering the point cloud data with a preset three-dimensional geometric model; based on an improved RRT algorithm, in combination with geometric features represented by the registered three-dimensional point cloud data, an initial motion track of a welding gun is planned; welding is conducted on the basis of the initial motion trail, and the weld width, the fusion depth feature and the defect feature are extracted from a molten pool image obtained in the welding process; correcting welding parameters of a welding gun in real time based on the weld width and fusion depth characteristics; and when the defect characteristics do not meet the preset conditions, path re-planning is triggered, a real-time movement track and synchronously-adjusted welding parameters are generated based on the currently-corrected welding parameters and the defect characteristics, and a welding gun is controlled to execute compensation welding. And the welding quality is improved.

The invention relates to the technical field of welding automation and robot visual perception, and discloses a robot intelligent welding method and system.The method comprises the steps that a three-dimensional point cloud image is constructed through a laser triangulation method; filtering and enhancing the point cloud image, and extracting a weld point cloud set by adopting a U-Net semantic segmentation model; carrying out space path identification and attitude regression based on the set to obtain a track element of a position-attitude pair; fitting a path by adopting a cubic B-spline curve and interpolating to generate a continuous welding track; and in the welding process, visual feedback is combined, and proportional differential control logic is introduced for closed-loop track error compensation. Compared with the technical problem that in the prior art, weld joint path recognition and accurate tracking cannot be stably achieved under complex structures such as curved surfaces and variable cross sections, a perception control closed loop based on visual servo is constructed, high-precision automatic welding of the complex weld joint structures is achieved, and the track fitting precision is improved.

The invention relates to the technical field of laser welding control, and discloses a laser welding head integrated with a push-pull wire and a control system of the laser welding head. The system comprises a push-pull wire action monitoring module, a laser energy modulation module, a welding seam trajectory tracking module, a welding quality feedback module, a parameter collaborative optimization module and a dynamic deviation correction execution module. Wherein the push-pull wire action monitoring module collects motion parameters in real time and generates a cooperative state index; the laser energy modulation module analyzes the laser power requirement according to the workpiece parameters and outputs a regulation and control instruction; the welding seam trajectory tracking module identifies welding seam characteristics and offset through a multispectral sensor and generates a dynamic tracking path; the welding quality feedback module evaluates defects and generates an abnormal index set; the parameter collaborative optimization module generates an optimization control parameter set based on the abnormal index set and the tracking path adjustment parameters; and the dynamic deviation correction execution module is used for correcting the track and generating a closed-loop control signal according to the matching action and the energy output time sequence.

The invention relates to the technical field of electronic packaging, in particular to a welding process applied to a double-mesa device. The technology comprises the following steps that firstly, a heat conduction model of a double-table-board device is built, a temperature field prediction system is built in combination with measured data, secondly, an asymmetric double-pulse-current welding strategy is adopted, differential pulse waveforms are loaded to an upper table board and a lower table board respectively, independent temperature control over all welding areas is achieved, a temperature difference closed-loop feedback mechanism is introduced in the process, and the temperature field prediction system is obtained. Pulse parameters are dynamically adjusted according to real-time temperature deviation, a stress prediction and weld penetration monitoring module is used for assistance, the welding spot forming quality and heat stress balanced release are ensured, a staged annealing type cooling mode is adopted after welding, and the structural stability is improved. The method can be widely applied to MEMS modules, SiC power devices and heterogeneous chip laminated packaging double-mesa structure devices, and has the advantages of being high in welding precision, high in reliability and wide in process adaptability.

The invention discloses a gradient welding strength control method and system for a welded galvanized steel pipe for fire fighting, particularly relates to the technical field of welding automation control, and aims to solve the problem of abnormal welding seam strength gradient caused by instantaneous unbalance of an electric field and a thermal field during dynamic parameter switching in the prior art. Electromagnetic distortion characteristic quantity is extracted through frequency domain energy analysis, and thermodynamic offset state quantity is deduced in combination with a thermal diffusion trend; on the basis of frequency band correlation mapping of electromagnetic and thermodynamic parameters, thermoelectric cooperative imbalance levels are divided through mutual information entropy evolution, and a self-adaptive harmonic attenuation weight tuning instruction is generated; analyzing a mismatching relation between transient disturbance of an environment magnetic field and arc voltage modulation distortion in real time, dynamically generating a magnetic field compensation factor and reversely superposing the magnetic field compensation factor to a control instruction; and in combination with the matching degree of molten pool oscillation energy and a harmonic frequency spectrum, correcting wire feeding rate calibration, reconstructing a multi-band harmonic energy proportion spectrum, outputting an anti-interference welding control signal, and realizing dynamic balance between arc stability and molten pool heat input.

The invention belongs to the technical field of nondestructive testing, and particularly relates to a detection method for quantitatively evaluating fatigue damage in a pipeline through a nonlinear ultrasonic technology. 316 stainless steel and SA335GRP-11 ferrite steel samples are adopted, a welding seam area is formed through V-shaped groove welding, fatigue loading is conducted, and actual pipeline fatigue damage is simulated; for the samples with different fatigue cycles, nonlinear response signals of the samples are obtained; fourier transform is carried out on the obtained signal to obtain an energy spectrum of the signal, and energy changes of the signal on a fundamental frequency band and a second harmonic frequency band are analyzed; and calculating a nonlinear coefficient, and analyzing a change rule of the nonlinear coefficient along with fatigue cycles, so that the evolution process of fatigue damage in the pipeline is evaluated. According to the method, energy is used for replacing the amplitude value, on the basis of the formula principle, integration is used for replacing the amplitude value to improve the intensity of the characterization nonlinear ultrasonic signal, the early stage of damage and the later stage of crack initiation are detected, and reliable guarantee is provided for safe operation of an industrial pipeline system.

The invention provides a self-adaptive fuzzy control system for an inverter type arc welding power supply, and belongs to the field of welding process control and equipment automation, and the self-adaptive fuzzy control system specifically comprises the steps that a sensor module collects working numerical values corresponding to key parameters in the welding process in real time; the data processing unit converts the working values into a fuzzy set; the fuzzy controller executes fuzzy reasoning on the fuzzy set based on a preset fuzzy rule base so as to output a fuzzy control signal; the data processing unit performs defuzzification on the fuzzy control signal and converts the fuzzy control signal into an accurate control signal; the inverter power supply module receives the defuzzified accurate control signal to adjust the output power of the welding power supply; the feedback system monitors real-time parameters of welding seam quality in the welding process and transmits the real-time parameters to the self-adaptive module so as to realize closed-loop control; and the adaptive module dynamically adjusts the fuzzy rule base and the membership function according to the welding quality information provided by the feedback system. According to the processing scheme, the control precision and adaptability of the system are improved.

The invention discloses a dynamic path planning method and system for a multi-axis collaborative welding robot, and belongs to the field of robot welding. The method comprises the steps that basic data of a welded workpiece is collected, and a welding basic database is constructed; constructing a geometric model of the welding seam path according to the data in the welding basic database, and parameterizing the geometric model of the welding seam path; on the basis of the parameter result, an initial track is generated between two adjacent weld joint sections of the welding path, time parameterization is conducted on the initial track, and a time-dependent time parameterization spinor track is obtained; and constructing a spinor mapping model based on inverse kinematics and a spinor theory to convert the time parameterized spinor trajectory into a target spinor. The welding quality is improved.

The invention discloses an automatic dovetail welding seam grinding control method based on robot visual positioning, and relates to the technical field of visual positioning. The method comprises the steps that after welding is completed, a dovetail welding seam image is collected and converted into a three-dimensional coordinate through a vision algorithm, and a three-dimensional point cloud is generated; smooth interpolation is performed on the three-dimensional point cloud through a B spline curve method to obtain a parameterized curve, and a control point set is optimized through a genetic algorithm to generate a global optimal polishing path; the polishing robot executes a task according to a path, a tail end sensor collects a real-time path and calculates a deviation value with a global path, and when the deviation value exceeds a preset threshold value, inverse kinematics is triggered to solve and correct the path; the hardness of the dovetail weld is measured through laser-induced breakdown spectroscopy, a comprehensive hardness value is obtained in combination with a matrix hardness database, meanwhile, a visual sensor collects the surface state, and polishing process parameters are dynamically adjusted according to the surface state; after the task is completed, the welding seam angle and flatness are detected. According to the method, the optimal path is generated through visual positioning, and automatic grinding of the dovetail welding seam is achieved.

The invention provides a path planning method of a laser welding head, a medium and a system, and belongs to the technical field of laser welding, the laser welding path planning method provided by the invention comprises the following steps: firstly collecting image information of a to-be-welded part, predicting a welding effect through a deep learning model, and establishing a scientific welding gain matrix evaluation system; a singular value decomposition method is adopted to intelligently segment a welding seam, welding feature vectors are automatically extracted, and a process parameter space is established. And the system constructs a multi-objective optimization function based on the welding quality comprehensive score, and generates an optimized welding path. The welding process image and the quality thermodynamic diagram are collected in real time, the feature similarity with the preset effect is calculated, dynamic optimization of the path is achieved, the intelligent welding path is finally output, the limitation of traditional artificial experience path planning is broken through, and the path planning efficiency is improved. The technical problem that in the prior art, laser welding often depends on manual experience to preset the welding path, and the welding path is not accurate enough is solved.

The invention provides an intelligent assembling and welding manufacturing method and system for an open-type pressure machine tool body, and relates to the technical field of open-type pressure machine tool body assembling and welding. The method comprises the steps that according to the structural characteristics of the open-type pressure machine tool body, the machine tool body is divided into a plurality of independent functional modules, and the functional modules are positioned and clamped; the assembled open type pressure machine tool body is obtained; the method comprises the steps that a welding sequence optimization model of welding seams is established according to a key stress structure of an open type pressure machine tool body, and the optimal welding sequence of the welding seams is obtained by solving the welding sequence optimization model; welding the assembled open-type pressure machine tool body by utilizing the optimal welding sequence, and in the welding process, identifying a welding seam type and defect characteristics by adopting a phased array ultrasonic imaging technology, outputting a welding defect ultrasonic imaging result, predicting an expansion evolution behavior of the defect according to an intelligent detection result, and forming a quantitative defect evaluation system; and multi-information fusion intelligent evaluation of the welding quality is realized.

The present invention proposes a coaxial weld tracking method for oscillating laser welding based on frequency domain OCT detection, comprising the following steps: obtaining the height value in the normal direction of the weld; performing point cloud reconstruction on the weld splicing morphology using the obtained surface height value H1 of the weld; extracting weld information through the point cloud reconstruction atlas; and providing a matching coaxial weld tracking system for oscillating laser welding based on frequency domain OCT detection, comprising a robot, an oscillating welding head, a turntable, a control cabinet, a monitoring system host, a sample arm and a reference arm, which compares the extracted weld information with a preset weld standard value, corrects the motion trajectory of the welding head in real time, and realizes the weld tracking function.

A friction stir additive manufacturing device configured to join a first work-piece and a second work-piece is provided. In one aspect, the device includes a rotating spindle configured to deposit a filler material over a weld line as the device is advanced along an interface between the first work-piece and the second work-piece. The device also includes a deposition head configured to receive at least a portion of the spindle, the deposition head configured to remain stationary relative to the rotating spindle. The deposition head includes a first semi-cylindrical portion having an inner radius and an outer radius relative to a first axis, and a second semi-cylindrical portion having an inner radius and an outer radius relative to a second axis that is perpendicular to the first axis. The second semi-cylindrical portion can include a chamfered inner surface configured to define a weld profile.

The invention provides a portable stirrup welding device for high pier construction, and relates to the technical field of box girder stirrup welding equipment.The portable stirrup welding device comprises a welding hand-held piece, and a steel bar storage part is installed on the welding hand-held piece; the steel bar storage part is used for storing stirrup connecting bars; a connecting rib pushing piece is mounted on the welding handheld piece; the connecting rib pushing piece is used for pushing stirrup connecting ribs; two stirrup prestress pieces are mounted on the welding handheld piece; the two stirrup prestressed parts are used for pulling stirrups; prestress annealing welding can be achieved, the welding tension degree is poor, meanwhile, the accuracy of welding seams can be affected by deviation of the stirrups, and the problems that the welding efficiency is low, the stirrups are not convenient to automatically correct and the tension degree of the welded stirrups is poor due to the fact that welding work of the stirrups for high pier construction mostly adopts manual handheld welding gun operation are solved.

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 discloses a 500MPa-grade supercritical CO2 corrosion-resistant pipeline coil plate and a manufacturing method thereof, and the 500MPa-grade supercritical CO2 corrosion-resistant pipeline coil plate comprises the following chemical components: 0.05 to 0.10 percent of C, 0.6 to 0.9 percent of Si, 1.50 to 1.70 percent of Mn, less than or equal to 0.010 percent of P, less than or equal to 0.002 percent of S, 0.10 to 0.30 percent of Cr, 0.35 to 0.45 percent of Mo, 0.03 to 0.05 percent of Nb, 0.01 to 0.03 percent of Ti, 0.02 to 0.05 percent of Al, 0.20 to 0.30 percent of Co, less than or equal to 0.008 percent of N, 1.2 to 4.3 percent of Mo / Cr, 0.75 to 0.92 percent of Mo + Cr + Co, 2.8 to 3.9 percent of Si / Co and the balance of Fe and inevitable elements. The manufacturing method comprises the steps of smelting, slab continuous casting, continuous casting slab heating, rolling, cooling and coiling. In the transverse direction of the rolled plate, Rt0.5 is larger than or equal to 540 MPa, Rm is larger than or equal to 640 MPa, Rt0.5 / Rm is smaller than or equal to 0.87, A50 mm is larger than or equal to 36%,-40 DEG C impact energy KV8 is larger than or equal to 220 J, and-20 DEG C drop weight DWTT is larger than or equal to 95%; in the longitudinal direction, Rt0.5 is larger than or equal to 520 MPa, Rm is larger than or equal to 630 MPa, Rt0.5 / Rm is smaller than or equal to 0.86, and A50mm is larger than or equal to 38%; the average corrosion rate in a 14.5 MPa supercritical CO2 environment is 1t; and 0.05 mm / a. The low-carbon medium-manganese molybdenum-chromium-cobalt-containing alloy design is adopted, the low-temperature toughness of a weld joint is guaranteed, the CO2 corrosion resistance and the oxidation resistance are improved, and higher safety is achieved in pipeline engineering.