Metal roof weld defect detection intelligent analysis and positioning identification system

Abstract

The invention relates to a metal roof weld defect detection intelligent analysis and positioning identification system, which comprises a detection robot provided with an image acquisition module for acquiring roof weld image data; the data processing module is used for analyzing the roof weld seam image data and identifying weld seam defects; the control module is used for controlling the moving route of the detection robot and controlling the starting of the intelligent mark spraying module; the automatic modeling and positioning module is used for modeling the detected metal roof, assisting in measuring the length of the weld defect and positioning coordinates, and the intelligent mark spraying module is used for spraying marks at the positions corresponding to the identified weld defect. The invention aims to improve the detection efficiency and accuracy of the welding seam and ensure the welding quality and the structural safety. Real-time intelligent monitoring, analytical statistics and automatic positioning identification of types, lengths, positions and the like of weld defects are realized, and an intelligent solution is provided for construction and maintenance of modernized large-scale metal roof buildings.

Description

Technical Field

[0001] The present invention relates to the technical fields of welding technology and automated detection technology, and particularly to an intelligent analysis and positioning identification system for detecting weld defects in metal roofs. Background Art

[0002] With the rapid development of the aviation industry, airports, as important transportation hubs, have increasingly emphasized the safety and reliability of their infrastructure. The roof, as a key component of the airport building structure, bears a huge load and needs to withstand the influence of various natural factors. Welds are important connection points of the roof structure, and their quality is directly related to the stability of the entire structure. Traditional weld detection methods mostly rely on manual inspection, which has problems such as low efficiency, easy omission of inspection, and misjudgment, and it is difficult to meet the high standards of safety requirements for modern airports.

[0003] In recent years, with the continuous development of intelligent technologies, automated weld detection equipment has gradually been applied. These devices can achieve rapid identification and positioning of weld defects through advanced image processing technologies and sensors. However, existing technologies still have deficiencies in spray marking, lacking an integrated solution and being unable to mark the welds in a timely and accurate manner after defect detection. Summary of the Invention

[0004] The purpose of the present invention is to develop an intelligent analysis and positioning identification system for detecting weld defects in metal roofs to solve the problems existing in the above-mentioned prior art, which can not only improve the detection efficiency and accuracy, but also provide a clear reference for subsequent maintenance, and has important practical value and market demand.

[0005] To achieve the above purpose, the present invention provides the following solution:

[0006] An intelligent analysis and positioning identification system for detecting weld defects in metal roofs, comprising: a detection robot, on which an image acquisition module, a data processing module, an automatic modeling and positioning module, an intelligent marking spray module, and a control module are provided;

[0007] The image acquisition module is used to acquire roof weld image data;

[0008] The data processing module is used to analyze the roof weld image data and identify weld defects;

[0009] The automatic modeling and positioning module is used to perform 3D solid modeling of the roof, record and generate model identifiers, and record weld defect categories and position coordinate information;

[0010] The control module is used to control the movement route of the detection robot and control the activation of the intelligent marking spray module;

[0011] The intelligent identification spraying module is used to spray an identification at the position corresponding to the identified weld defect.

[0012] Optionally, the image acquisition module is installed on the left and right sides of the inspection robot, and images of the roof welds are acquired based on a preset angle.

[0013] Optionally, the data processing module identifies weld defects in the roof weld image data based on a preset image processing algorithm, and classifies and stores the defect information.

[0014] Among them, the defect information includes: defect type, defect position; the defect types include: broken weld, burn-through, misaligned weld, and spot weld.

[0015] Optionally, the automatic modeling and positioning module includes: a solid-state lidar and RTK positioning. The solid-state lidar scanning technology is used to obtain the three-dimensional data of the metal roof, and a high-precision map is generated through the three-dimensional data; RTK positioning improves the positioning accuracy to centimeter-level accuracy through data differential between the base station and the inspection robot.

[0016] Optionally, the intelligent identification spraying module includes: a relay, an electromagnet, a wireless communication module, and a spray bottle.

[0017] The relay is used to convert the voltage of the control signal sent by the control module and control the working states of the electromagnet and the spray bottle.

[0018] The electromagnet is used to execute the control signal, adjust the switch state of the spray bottle, and then control the spray bottle to spray for a preset time.

[0019] The wireless communication module is used to receive wireless instructions from the background system, enabling the intelligent identification spraying module to communicate with the background system in real time; the background system sends real-time data related to weld defects, and these real-time data will be used to guide the intelligent identification spraying module to accurately execute the inkjet coding task; after receiving the wireless instructions, the intelligent identification spraying module matches the received instructions with specific spraying actions through a synchronization algorithm; the wireless communication module will automatically adjust the spraying time, spraying volume, and spraying accuracy of the spray bottle to ensure the spraying quality and accuracy.

[0020] The spray bottle is used to store and release the spraying liquid.

[0021] Optionally, the intelligent identification spraying module spraying an identification at the position corresponding to the identified weld defect includes:

[0022] After the electromagnet receives the control signal, it starts after a preset delay, and controls the nozzle of the spray bottle to open.

[0023] During the activation of the electromagnet, the nozzle of the spray bottle ejects erasable marking ink through compressed air or a pumping mechanism to form an atomized spray.

[0024] After the spraying time ends, the electromagnet switches to the power-off state, the electromagnet closes, and the spray bottle stops spraying.

[0025] After adding a wireless communication module, the operations of the electromagnet and the spray bottle are synchronized with the background system in real time through the wireless communication module; the background system sends real-time instructions to adjust the parameters during the spraying process to ensure that the spraying effect is optimized according to the real-time weld defect data; during the spraying process, the status and parameters of the intelligent marking spraying module will be fed back to the background system in real time through the wireless communication module to ensure the accuracy and consistency of the spraying process.

[0026] Optionally, the control module records the weld defect detection process in real time and sends the detection data and progress to the background system in real time through the wireless communication module; the generated detection report includes the detection time, weld position, defect type, and marking status, and the background system can view it in real time and adjust the spraying strategy according to these data.

[0027] The control module monitors the spraying process of the intelligent marking spraying module in real time and synchronizes it with the background system through the wireless communication module; when an abnormal spraying is detected, the control module will send an alarm to the background system through the wireless communication module to control the background system to take corresponding measures; the background system can send new control instructions or adjust the status of the intelligent marking spraying module through remote control to ensure the smooth completion of the spraying task.

[0028] Optionally, the system further includes:

[0029] A display module: used to set detection parameters, start or stop the detection process, and view the detection results and defect information in real time.

[0030] Collect roof weld image data; analyze the roof weld image data to identify weld defects.

[0031] Based on the identified weld defects, spraying is performed at the positions corresponding to the identified weld defects.

[0032] Optionally, collecting roof weld image data includes:

[0033] Performing image acquisition and depth information measurement perpendicular to the roof weld based on a preset angle.

[0034] Optionally, analyzing the roof weld image data to identify weld defects includes:

[0035] Based on a preset image processing algorithm, identify weld defects in the roof weld image data and classify and store the defect information.

[0036] Among them, the defect information includes: defect type, defect location and size; the defect types include: broken weld, penetrated weld, misaligned weld and spot weld.

[0037] The beneficial effects of the present invention are:

[0038] The detection robot of the present invention travels automatically along a preset path, and the mounted depth camera monitors the weld in real time. When the depth camera detects a defect in the weld, the control unit will immediately analyze the defect type and control the trolley to stop moving. The control unit starts the spraying device through an electromagnet, and sprays erasable marking ink to mark the defect position for subsequent maintenance and repair. The spraying time and method are precisely controlled to ensure that the mark is clearly visible and does not cause additional impact on the weld. Description of the Drawings

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0040] Figure 1 It is a schematic structural diagram of the intelligent analysis and positioning marking system for metal roof weld defects in the embodiments of the present invention;

[0041] Figure 2 It is the overall system flow chart of the embodiments of the present invention;

[0042] Figure 3 It is the module decision diagram of the embodiments of the present invention. Detailed Embodiments

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0044] To make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0045] This embodiment proposes an intelligent analysis and positioning identification system for detecting weld defects in metal roofs, including: a detection robot, on which an image acquisition module, a data processing module, a spraying module and a control module are arranged;

[0046] The image acquisition module is used to collect roof weld image data;

[0047] The data processing module is used to analyze the roof weld image data and identify weld defects;

[0048] The control module is used to control the moving route of the detection robot and control the start of the spraying module;

[0049] The spraying module is used to spray at the position corresponding to the identified weld defect.

[0050] This embodiment uses a depth camera and image processing technology to automatically identify weld defects, improve the efficiency and accuracy of detection, and reduce manual intervention. Equipped with a detection robot, the device can automatically travel along a preset path to achieve comprehensive coverage detection of large-area welds, and is suitable for wide areas such as airport roofs. The depth camera can monitor the weld status in real time, and there is no need to pause during the detection process, and it can quickly feedback the weld quality. Through the control unit, the device can classify and analyze the detected weld defects, provide detailed defect information for subsequent processing. When a defect is detected, the control unit automatically starts the spraying device to spray erasable marking ink at the defect position to clearly mark the welds that need to be maintained. The device has an intelligent path planning function, dynamically adjusts the driving route according to the real-time detection results to ensure comprehensive detection of all welds. It can detect various types of weld defects, including broken welds, burn-throughs, misaligned welds and spot welds, etc., to meet the requirements of different welding standards. Equipped with a man-machine interaction interface, the operation is simple and intuitive, and users can conveniently set detection parameters and view detection results to improve operation convenience. The system has a data storage function, can record real-time data during the detection process, and generate a detection report for subsequent analysis and tracking. In addition to airport roofs, the device can also be applied to weld detection in other industrial fields, such as bridges, ships and large machinery, etc., with broad market demand and application potential.

[0051] Further, the image acquisition modules are installed on the left and right sides of the detection robot, and image acquisition and depth information measurement are performed perpendicular to the roof weld based on a preset angle.

[0052] Further, the data processing module identifies weld defects in the roof weld image data based on a preset image processing algorithm, and classifies and stores the defect information;

[0053] Among them, the defect information includes: defect type, defect position and size; the defect types include: broken weld, burn-through, misaligned weld and spot weld.

[0054] Further, the spraying module includes: a relay, an electromagnet, a wireless communication module, and a spray bottle;

[0055] The relay is used to convert the control signal sent by the control module in terms of voltage and control the working states of the electromagnet and the spray bottle;

[0056] The electromagnet is used to execute the control signal, adjust the switch state of the spray bottle, and further control the spray bottle to perform spraying for a preset time;

[0057] The wireless communication module is used to receive wireless instructions from the background system, enabling the intelligent identification spraying module to communicate with the background system in real time; the background system sends real-time data regarding weld defects, and these real-time data will be used to guide the intelligent identification spraying module to accurately execute the inkjet coding task; after receiving the wireless instructions, the intelligent identification spraying module matches the received instructions with specific spraying actions through a synchronization algorithm; the wireless communication module will automatically adjust the spraying time, spraying volume, and spraying accuracy of the spray bottle to ensure the spraying quality and accuracy. The optimized spraying process can improve work efficiency and enhance the accuracy and quality of inkjet coding;

[0058] The spray bottle is used to store and release the spraying liquid.

[0059] Further, the electromagnet adjusting the switch state of the spray bottle includes:

[0060] After the electromagnet receives the control signal, it starts after a preset delay time, and controls the nozzle of the spray bottle to open;

[0061] During the period when the electromagnet is turned on, the nozzle of the spray bottle ejects the erasable identification ink through compressed air or a pumping mechanism to form an atomized spray;

[0062] After the spraying time ends, the electromagnet switches to a power-off state, the electromagnet closes, and the spray bottle stops spraying.

[0063] Further, the control module records the weld defect detection process in real time and generates a detection report, including the detection time, weld position, defect type, and identification status;

[0064] The control module monitors the spraying process of the spraying module in real time. When spraying anomalies are found, the control module controls the spraying module to stop working and issues a warning;

[0065] Further, the system further includes: a display module;

[0066] The display module is used to set detection parameters, start or stop the detection process, and view the detection results and defect information in real time.

[0067] Specifically, the intelligent analysis and positioning identification system for metal roof weld defects proposed in this embodiment mainly includes: an industrial computer, a relay, a control board, an electromagnet, a spray bottle, and a 12V power supply module.

[0068] The industrial computer serves as the main control device, responsible for analyzing the detection results and generating control instructions.

[0069] The control board receives the instructions from the industrial computer and converts them into signals that can control devices such as relays, electromagnets, and spray bottles.

[0070] The relay is used to convert the low-voltage signal sent by the control board into a high-voltage signal to control the operation of the electromagnet and the spray bottle.

[0071] The electromagnet executes the control signal to adjust the switch state of the spray bottle, thereby controlling the release of the spraying liquid.

[0072] The spray bottle is responsible for storing and releasing the spraying liquid, mainly used for marking weld defects.

[0073] The 12V power supply module provides stable power for all modules to ensure the normal operation of the system.

[0074] As Figure 2 shown, in the mechanical structure design of an intelligent spraying device for detecting weld defects on the terminal building roof in this embodiment, the inspection robot adopts an electric drive system, has good motion stability, and can drive smoothly under various ground conditions on the airport roof. Depth cameras are installed on both the left and right sides of the inspection robot and can take pictures perpendicular to the weld at a certain angle. This camera is equipped with a high-resolution image sensor, supporting real-time image acquisition and depth information measurement to ensure the detection accuracy. The control unit is the core part of this device, using an embedded microcontroller, responsible for receiving and processing the data from the depth camera. The control unit has built-in image processing algorithms, which can quickly identify weld defects and classify and store the defect information.

[0075] The device is equipped with path planning software, which presets the inspection path according to the specific layout of the airport roof. During the inspection process, the control unit can adjust the driving path in real time to ensure covering all welds and avoiding obstacles.

[0076] The depth camera takes pictures of the weld, and the control unit uses image processing algorithms for defect detection. The system can detect defects such as broken welds, penetrated welds, misaligned welds, and spot welds, and output information such as the defect type, location, and size. When a weld defect is detected, the control unit sends a signal to start the spraying device. The spraying device is controlled by an electromagnet and can spray erasable marking ink at the defect position. The spraying process is precisely controlled to ensure that the marking is clearly visible and does not affect the weld itself.

[0077] The device is equipped with a touch screen interface through which users can set detection parameters, start or stop the detection process, and view the detection results and defect information in real time. The interface is user-friendly and easy to operate.

[0078] The control unit has a data storage function and can record the real-time data during the detection process. The system can generate a detection report including the detection time, weld position, defect type, and identification status, which is convenient for subsequent maintenance.

[0079] The device is powered by a rechargeable battery and supports long-term continuous operation. The power system is designed with a power monitoring function to ensure that the user is prompted to charge in a timely manner when the battery is low.

[0080] As Figure 3 shown, in the mechanical structure design of an intelligent spraying device for detecting weld defects on the terminal building roof in this embodiment, after the device is started, the spraying device will perform a self-check to ensure that all components are working properly, including the electromagnet, spraying pump, and ink supply system.

[0081] After the defect recognition module completes the analysis of the image data, if a weld defect is detected, the control decision module will send a control signal according to the judgment result to notify the spraying device to start the spraying process.

[0082] The control decision module controls the PMOS of the high-side switch through the turn-off of the relay to switch the state of the electromagnet. When the electromagnet receives the power-on signal, the electromagnet is activated, controlling the nozzle of the spraying device to open and start the spraying process.

[0083] After the spraying time ends, the control signal will switch to the power-off state, the electromagnet will close, and the spraying will stop. There will be a short delay before the spraying starts to ensure the stability of the device. After the spraying starts, the system will accurately time for 1.5 seconds to ensure the uniformity and coverage area of the spraying. During the activation of the electromagnet, the nozzle of the spraying system will eject the erasable marking ink through compressed air or a pumping mechanism to form an atomized spray.

[0084] The design of the spraying head enables the ink to evenly cover the weld defect position to form a clear mark. During the spraying process, the control system will monitor the state of the spraying head in real time to ensure that there is no abnormality in the ink ejection. If spraying abnormalities are found, the system will automatically stop spraying and issue an alarm to prompt the user for maintenance. After the spraying is completed, the control decision module will send a signal to turn off the electromagnet to end the spraying process.

[0085] The system will record the spraying information, including the defect position and spraying time. After the spraying is completed, the device will continue to monitor the weld status to determine whether further detection or repair is required.

[0086] This embodiment also proposes an intelligent analysis and positioning identification method for detecting weld defects on a metal roof. The method includes:

[0087] Collecting roof weld image data;

[0088] Analyzing the roof weld image data to identify weld defects;

[0089] Based on the identified weld defects, spraying is performed at the positions corresponding to the identified weld defects.

[0090] Further, collecting roof weld image data includes:

[0091] Performing image acquisition and depth information measurement perpendicular to the roof weld based on a preset angle.

[0092] Further, analyzing the roof weld image data to identify weld defects includes:

[0093] Based on a preset image processing algorithm, identifying weld defects in the roof weld image data and classifying and storing defect information;

[0094] Among them, the defect information includes: defect type, defect position and size; the defect types include: broken weld, penetrated weld, misaligned weld and spot weld.

[0095] Further, the device for spraying at the positions corresponding to the identified weld defects includes: a relay, an electromagnet, a wireless communication module, and a spray bottle;

[0096] The relay is used to convert the control signal sent by the control module and control the working states of the electromagnet and the spray bottle;

[0097] The electromagnet is used to execute the control signal, adjust the switch state of the spray bottle, and then control the spray bottle to spray for a preset time;

[0098] The wireless communication module is used to receive wireless instructions from the background system, enabling the spraying module to communicate with the background system in real time. The background system can send real-time data about weld defects, and these data will be used to guide the spraying module to accurately execute the inkjet coding task.

[0099] The spray bottle is used to store and release the spraying liquid.

[0100] Further, adjusting the switch state of the spray bottle by the electromagnet includes:

[0101] After the electromagnet receives the control signal, it starts after a preset delay, and controls the nozzle of the spray bottle to open;

[0102] During the period when the electromagnet is turned on, the nozzle of the spray bottle will eject erasable identification ink through compressed air or a pumping mechanism to form an atomized spray;

[0103] After the spraying time ends, the electromagnet switches to the power-off state, the electromagnet closes, and the spray bottle stops spraying;

[0104] After adding the wireless communication module, the operations of the electromagnet and the spray bottle are synchronized with the background system in real time through the wireless communication module. The background system can send real-time instructions to adjust the parameters during the spraying process to ensure that the spraying effect is optimized according to the real-time weld defect data. During the spraying process, the status and parameters of the spraying module will be fed back to the background system in real time through the wireless communication module to ensure the accuracy and consistency of the spraying process.

[0105] Furthermore, the control module records the weld defect detection process in real time and sends the detection data and progress to the background system in real time through the wireless communication module. The generated detection report includes the detection time, weld position, defect type, and identification status. The background system can view the data in real time and adjust the spraying strategy according to these data;

[0106] This embodiment monitors the spraying process of the spraying module in real time and synchronizes it with the background system through the wireless communication module. When spraying abnormalities are detected, the control module will send an alarm to the background system through the wireless communication module to control the background system to take corresponding measures. The background system can send new control instructions or adjust the status of the spraying module through remote control to ensure the smooth completion of the spraying task;

[0107] This embodiment is equipped with a touch screen interface. Users can set detection parameters, start or stop the detection process, and view the detection results and defect information in real time through this interface. The interface is user-friendly and easy to operate.

[0108] The embodiments described above are only descriptions of the preferred embodiments of the present invention and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. Intelligent analysis and positioning identification system for metal roof weld defect detection, characterized by: include: An inspection robot, wherein the inspection robot is provided with an image acquisition module, a data processing module, an automatic modeling and positioning module, an intelligent marking spraying module and a control module; The image acquisition module is used to acquire roof weld image data; The data processing module is used to analyze the roof weld image data and identify weld defects; The automatic modeling and positioning module is used for 3D modeling of the roof, recording and generating model identification, and recording weld defect categories and location coordinate information; The control module is used to control the moving route of the detection robot and control the start-up of the intelligent marking spraying module; The intelligent marking spraying module is used to perform marking spraying on the position corresponding to the identified weld defect.

2. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 1 is characterized in that: The image acquisition module is installed on the left and right sides of the detection robot to acquire images of the roof weld based on a preset angle.

3. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 1 is characterized in that: The data processing module performs weld defect recognition on the roof weld image data based on a preset image processing algorithm, and classifies and stores the defect information; The defect information includes: defect type and defect location; the defect types include: broken weld, weld penetration, misaligned weld and spot weld.

4. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 1 is characterized in that: The automatic modeling and positioning module includes: solid-state laser radar and RTK positioning, which uses solid-state laser radar scanning technology to obtain three-dimensional data of the metal roof and generate a high-precision map through the three-dimensional data; RTK positioning improves positioning accuracy by differentiating the data between the base station and the detection robot, achieving centimeter-level accuracy.

5. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 1 is characterized in that: The intelligent marking spraying module includes: a relay, an electromagnet, a wireless communication module, and a spray bottle; The relay is used to convert the control signal sent by the control module into voltage to control the working state of the electromagnet and the spray bottle; The electromagnet is used to execute the control signal, adjust the switch state of the spray bottle, and then control the spray bottle to spray for a preset time; The wireless communication module is used to receive wireless instructions from the background system, so that the intelligent marking spraying module can communicate with the background system in real time; the background system sends real-time data about weld defects, and these real-time data will be used to guide the intelligent marking spraying module to accurately perform the coding task; after receiving the wireless instruction, the intelligent marking spraying module matches the received instruction with the specific spraying action through the synchronization algorithm; the wireless communication module will automatically adjust the spraying time, spraying amount and spraying accuracy of the spray bottle to ensure the spraying quality and accuracy; The spray bottle is used for storing and releasing spray liquid.

6. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 5 is characterized in that: The intelligent marking spraying module performs marking spraying on the position corresponding to the identified weld defect, including: After the electromagnet receives the control signal, it delays a preset time and then starts again, controlling the nozzle of the spray bottle to open; During the period when the electromagnet is turned on, the nozzle of the spray bottle sprays the erasable marking ink through compressed air or a pumping mechanism to form an atomized spray; After the spraying time is over, the electromagnet is switched to a power-off state, the electromagnet is turned off, and the spray bottle stops spraying; After adding the wireless communication module, the operation of the electromagnet and the spray bottle is synchronized with the background system in real time through the wireless communication module; the background system sends real-time instructions to adjust the parameters during the spraying process to ensure that the spraying effect is optimized according to the real-time weld defect data; during the spraying process, the status and parameters of the intelligent marking spray module will be fed back to the background system in real time through the wireless communication module to ensure the accuracy and consistency of the spraying process.

7. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 1 is characterized in that: The control module records the weld defect detection process in real time, and sends the detection data and progress to the background system in real time through the wireless communication module; the generated detection report includes the detection time, weld position, defect type and identification status, and the background system can view it in real time and adjust the spraying strategy according to these data; The control module monitors the spraying process of the smart marking spray module in real time and synchronizes with the background system through the wireless communication module; when a spraying abnormality is found, the control module will send an alarm to the background system through the wireless communication module to control the background system to take corresponding measures; the background system can send new control instructions, or adjust the status of the smart marking spray module through remote control to ensure the smooth completion of the spraying task.

8. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 1 is characterized in that: The system further comprises: Display module: used to set detection parameters, start or stop the detection process, and view the detection results and defect information in real time; Collecting roof weld image data; analyzing the roof weld image data to identify weld defects; Based on the identified weld defects, spraying is performed on the positions corresponding to the identified weld defects.

9. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 8, characterized in that: Collecting roof weld image data includes: Image acquisition and depth information measurement are performed perpendicular to the roof weld based on a preset angle.

10. The metal roof weld defect detection intelligent analysis and positioning identification system according to claim 8, characterized in that: Analyzing the roof weld image data to identify weld defects includes: Based on a preset image processing algorithm, weld defects are identified on the roof weld image data, and defect information is classified and stored; The defect information includes: defect type, defect location and size; the defect types include: broken weld, weld penetration, misaligned weld and spot weld.

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