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　　As industrial automation technology continues to evolve, laser seam tracking systems have become a key technology in modern manufacturing, playing a significant role in improving welding quality and production efficiency. Particularly in the welding of complex structures like boxes, ensuring welding precision and speed has become a primary focus for the industry. Today, let's explore the application of the ATINY laser seam tracking system working alongside FANUC robots in automated box welding. 　　Principle of the Laser Seam Tracking System 　　The ATINY laser seam tracking system uses laser sensors for real-time seam detection and path tracking. Through precise algorithms, it analyzes the position and shape changes of the weld seam during the welding process and sends feedback signals to the FANUC robot, enabling automatic adjustments to the welding torch. This system can accurately detect the position of the seam during welding, resolving issues like workpiece deformation and positional deviations, ensuring that the seam remains on the optimal welding path at all times, thus improving both welding quality and efficiency. 　　The core advantage of the laser seam tracking system lies in its high precision seam detection and adaptive capabilities. By scanning the seam in real time, the system automatically adjusts the position of the welding torch based on changes in the welding surface, making it especially suitable for welding complex structures and irregular surfaces. Additionally, the system has powerful data processing capabilities, allowing it to intelligently recognize and adjust to different materials and thicknesses in box welding during the process. 　　Challenges in Box Welding Automation 　　Box-type products usually involve multiple complex weld seams, requiring high welding precision, and often facing issues such as deformation and errors during the welding process. Traditional fixed-path automated welding cannot ensure the continuity and consistency of the weld seam, leading to low welding efficiency and high rework rates. Especially with the increasing demand for mass production of box products, traditional welding methods can no longer meet the needs o

In modern manufacturing, the application of intelligent welding production lines is becoming increasingly widespread, serving as one of the key technologies for improving production efficiency and product quality. Intelligent welding production lines utilize advanced automation technologies and integrate various functions to meet complex welding requirements. Today, let's explore the main functions of intelligent welding production lines together with the ATINY seam tracking system team. Intelligent welding production lines achieve full-process automation from raw material input to finished product output through highly integrated automation equipment and technologies. Its main functions include: Automated Welding Intelligent welding production lines realize a fully automated welding process, from workpiece preparation to welding and post-processing, reducing human intervention and minimizing the risk of human error. Laser Seam Tracking System The ATINY laser seam tracking system is one of the core technologies in intelligent welding production lines. It utilizes laser sensors to monitor seam positions in real time, ensuring high precision and consistency in the welding process by quickly adjusting the welding path. This system is particularly suitable for complex seams and efficient welding requirements, significantly enhancing welding quality and reducing scrap rates. Flexible Production With the ability for quick mold changes, intelligent welding production lines can flexibly adapt to different types of welding tasks, supporting the transition between multi-variety, small-batch, or large-batch production. Real-Time Quality Monitoring An integrated data collection and analysis system can monitor various indicators in the production process in real time, helping to identify and resolve issues promptly, ensuring stable and controllable product quality. User-Friendly Human-Machine Interface Modern intelligent welding production lines provide intuitive human-machine interfaces, allowing operators to easily monitor and adjust the welding process. Additionally, the system supports remote monitoring for convenient technical support and maintenance.

　　With the rapid development of automation technology, six-axis welding robots have become an indispensable part of modern manufacturing. They not only improve production efficiency but also ensure consistency and reliability in welding quality. To fully utilize their capabilities, it is crucial to master the correct operating methods and precautions. Today, let's learn how to properly operate a six-axis welding robot. 　　Here are some basic operating guidelines: 　　1. Preparation Before Operation 　　Equipment Check: Ensure the robot, welding power source, and welding torch are in good condition without any damage. 　　Workpiece Check: Confirm that the dimensions and welding positions of the workpiece match the programmed specifications. 　　Parameter Setting: Set welding parameters such as current, voltage, and speed according to the material and welding process. 　　2. Startup and Calibration 　　System Startup: Start the robot control system according to the equipment manual and wait for the self-check to complete. 　　Zero Point Reset: Reset each axis to the zero point to avoid collisions during startup. 　　Tool Calibration: Use calibration tools to calibrate the position of the welding torch to ensure welding precision. 　　3. Running the Welding Program 　　Load Program: Load the preset welding program through the control panel. 　　Run Check: Verify that the welding path and parameter settings are correct. 　　Start Welding: Start the welding program, and the robot will automatically follow the predetermined trajectory. 　　Real-Time Monitoring: During welding, operators should continuously monitor welding quality and equipment status to promptly detect and handle any abnormalities. 　　4. Post-Welding Procedures 　　Stop Program: After welding is complete, stop the welding program and turn off the power. 　　Quality Inspection: Perform a visual inspection of the weld seam, and conduct non-destructive testing if necessary to ensure the welding quality meets standards. 　　Equipment Cleaning: Clean the welding torch and welding spatter, and perform necessary maintenance on the robot. 　　Precautions: 　　It is essential to receive professional tr

With the development of the global economy, more and more marine engineering projects are being undertaken. As a crucial component of marine engineering, subsea dredging pipelines are responsible for tasks such as sediment removal and subsea pipeline laying. Due to the complex underwater environment, high welding quality is required during pipeline production. Traditional automatic welding equipment is inefficient and produces inconsistent welding quality, failing to meet the requirements. Today, let’s take a look at the application of the ATINY laser seam tracking sensor in fully automated welding of subsea dredging pipelines. Principle of Laser Seam Tracking Sensors The laser seam tracking sensor is a device based on laser vision sensing technology. It utilizes high-precision laser scanning technology and intelligent algorithms to capture the three-dimensional morphology of the weld seam in real time. Using advanced image processing algorithms, it calculates the actual position, shape, and deviation of the weld seam. After receiving this data, the welding robot automatically adjusts the position and angle of the welding torch, making real-time adjustments to deviations during the welding process to ensure precision and stability. Challenges in Automated Welding of Subsea Dredging Pipelines The natural conditions of high pressure, low temperature, and water currents in the subsea environment make traditional welding methods difficult to implement. Additionally, the material properties of the pipeline itself (such as corrosion resistance) and design requirements (such as sealing) increase the welding difficulty. Moreover, to ensure the safety and longevity of the pipeline, stringent requirements are imposed on the quality of the joints. Due to errors in previous processes and workpiece clamping, blind welding by robots can result in misalignment and inconsistent weld quality. ATINY's Solution To address the challenges of automated welding for subsea dredging pipelines, ATINY has introduced a fully automated welding solution based on laser seam tracking sensors. This system primarily consists of laser seam tracking sensors, an intelligent control syst

　　Laser displacement sensors are non-contact measurement devices that use laser beams to measure the surface of objects, and are widely used in various industrial automation fields. Their working principle is based on light reflection and laser triangulation. By accurately measuring the distance between the target object and the sensor, they provide information such as displacement or height. Today, ATINY will explain the working principle of laser displacement sensors. 　　1. Laser Emission 　　The laser displacement sensor emits a very fine laser beam through its internal laser diode. This beam is highly linear and focused, striking the surface of the object being measured. 　　2. Light Reflection 　　After the laser beam hits the object's surface, it reflects back. The angle and direction of the reflected light vary depending on the surface properties of the object and the sensor's position. The sensor receives the reflected light through a receiving unit, usually a position-sensitive photodiode or a CCD/CMOS image sensor. 　　3. Triangulation Method 　　The core technology of laser displacement sensors is based on laser triangulation. When the laser beam strikes the object’s surface and reflects, the sensor uses the triangular geometric relationship between the laser emission point, the reflection point, and the sensor’s receiving point to calculate the distance between the object and the sensor by detecting the angle of the reflected light. This measurement method ensures high precision, making it especially suitable for measuring small displacements or complex surfaces. 　　4. Data Processing and Output 　　The laser displacement sensor's internal processing unit converts the measured data into standard electrical signals, such as analog or digital signals, for further analysis and processing by subsequent equipment. These signals are typically used in applications like monitoring, automated control, or quality inspection. 　　ATINY laser displacement sensors, with their high precision, efficiency, and wide applicability, have become indispensable measurement tools in modern industrial automation. Whether in welding, assembly, or quality ins

　　In modern manufacturing, welding quality and efficiency directly impact product performance and costs. In particular, the welding of construction vehicle base structures is a critical process. With the rapid development of automation technology, laser seam tracking systems have become essential tools for addressing welding challenges. Today, let's explore how the ATINY laser seam tracking system is applied to the welding of construction vehicle base structures. 　　Introduction to the Laser Seam Tracking System 　　The laser seam tracking system is a technology based on laser ranging and visual recognition, capable of capturing seam positions in real-time during welding and guiding the welding equipment for precise operation. The system uses high-precision laser sensors and image processing algorithms. The laser beam is projected onto the seam surface, and through the capture and analysis of reflected light, it obtains the three-dimensional coordinates of the seam in real-time. Combined with advanced algorithm processing, the system can accurately calculate the deviation between the welding torch and the seam, automatically adjusting the position and posture of the torch to ensure precise alignment during the welding process. 　　Challenges in Automated Welding of Construction Vehicle Base Structures 　　As a core component of construction vehicles, the welding quality of base structures is crucial. However, due to the complexity of the base structure and the large number of weld seams, the design and control of the welding path become significantly challenging. Additionally, given the large production volumes, any errors in the welding process can have a substantial impact on production efficiency and costs. Moreover, blind welding by robots can lead to deviations, requiring repeated teaching of the welding path, which is time-consuming, labor-intensive, and prone to human error. These challenges often make it difficult to improve welding efficiency, severely limiting the overall efficiency and output of the production line. 　　ATINY's Solution 　　To address the challenges in welding construction vehicle base structures, the ATINY laser seam tracking system i

　　As automation technology continues to advance, welding robots have become essential tools for improving production efficiency and welding quality. The setting of the drag path for welding robots is a crucial step in ensuring welding precision and consistency. Today, let’s explore how to set the drag path for welding robots with insights from the ATINY Seam Tracking System. 　　1. Introduction to Welding Robot Drag Path 　　The welding robot drag path refers to the process in which the robot moves the welding torch along a predetermined route to perform the welding task. The setting of the drag path not only affects the quality of the weld seam but also directly influences welding efficiency. Proper drag path settings can reduce welding defects, improve efficiency, and lower production costs. 　　2. Basic Steps for Setting the Drag Path 　　Path Planning 　　Design the Weld Path: First, determine the specific position and shape of the weld seam according to the workpiece design requirements and welding process. Use CAD software or welding robot programming tools to plan the welding path. 　　Determine Start and End Points: Based on the welding sequence, identify the start and end points of the welding torch, considering the continuity and integrity of the welding process. 　　Programming 　　Teaching Programming: Manually guide the welding robot along the predetermined path, recording the robot’s movements as a program. This method is intuitive and suitable for weld seams with complex shapes. 　　Offline Programming: Use specialized programming software to simulate the welding process on a computer. After generating the welding program, upload it to the robot. This method is more efficient for mass production. 　　Optimizing the Path 　　Speed and Acceleration Settings: Adjust the robot's movement speed and acceleration according to the workpiece material, welding process, and seam requirements to ensure weld quality and stability. 　　Error Detection and Correction: Use the ATINY Laser Seam Tracking System or vision sensors to monitor the welding process in real time, detecting and correcting any path deviations to ensure welding accuracy. 　　Testi

In modern manufacturing, welding robots are widely used to improve production efficiency and welding quality. Correctly setting the teaching mode of a welding robot is a crucial step to ensure the precise execution of automated welding processes. Today, the ATINY Seam Tracking System team will guide you through the steps to set up the teaching mode for welding robots. 1. What is Teaching Mode? The teaching mode of a welding robot refers to manually operating the robot to move along a predefined welding path while recording that path. In this mode, the operator can program the welding robot to repeatedly execute the same welding task in automatic mode. The teaching mode is typically used for programming complex welding paths and for initial setup or adjustment of welding process parameters. 2. Steps to Set Up Teaching Mode Selecting the Teaching Mode Before operating the welding robot, ensure that the robot is in teaching mode. Typically, the teaching mode can be switched on via the mode selection button or touchscreen on the robot's control panel. Setting Welding Parameters Before teaching, the operator needs to set the appropriate welding parameters based on the specific welding task, such as welding current, voltage, and speed. These parameters directly affect welding quality, so they must be adjusted according to actual needs. Manual Teaching The operator manually controls the robot's end-effector (welding torch) to move along the predetermined welding path, recording the position at each key point. This process usually requires several attempts to ensure the accuracy and consistency of the path. Path Optimization and Testing After completing the teaching, the operator can optimize the recorded welding path by adjusting the points or modifying the motion trajectory. Subsequently, a welding test is conducted to verify whether the path settings meet the process requirements and make further adjustments as necessary. Saving and Playback Once the path settings and welding parameter adjustments are completed, the operator should save them in the robot's control system. This allows the robot to directly use the path settings from the te

　　As infrastructure construction accelerates, the demand for tunnel fans has increased, particularly due to the growing need for tunnel construction. Welding is a critical step in the manufacturing of fans, which often involve large sizes and complex structures due to the substantial tunnel diameters. This imposes stringent requirements on welding accuracy and consistency. However, existing manual welding methods and automated equipment often fail to meet the high precision and efficiency demands of modern industry. To address this, aTINY has introduced a high-precision automated welding solution that integrates a laser seam tracker with specialized machinery. 　　Principle of the Laser Seam Tracker 　　The laser seam tracker is an advanced sensing technology that utilizes laser scanning to detect weld seams. By employing precise algorithms and image processing techniques, it captures the three-dimensional information of the seam in real-time. The seam tracker accurately identifies the shape, position, and angle of the weld seam, providing this data to the welding system, which then adjusts the position and angle of the welding head in real-time to achieve high-precision automated welding. The core advantages of this technology are its high resolution and real-time tracking. The non-contact tracking method not only enhances welding accuracy but also avoids defects caused by factors such as workpiece misalignment or thermal deformation. 　　Challenges in Automated Welding of Wind Turbines 　　The welding challenges in fan manufacturing mainly include: 　　Weld Seam Misalignment: Due to inaccuracies in workpiece placement or clamping, weld seams may deviate, making it difficult for automated equipment to maintain seam consistency and welding quality. 　　High Precision Requirements: Critical components like the fan casing and impeller require extremely high welding precision, with even slight deviations potentially affecting the safe operation of the fan. 　　Complex Work Environment: Fan manufacturing usually occurs in large-scale factories, where the environment is complex and variable, making it difficult for operators to maintain high efficiency over extended periods.