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　　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.

Automatic welding robots are crucial in modern industrial production, playing a vital role in enhancing productivity, reducing labor costs, and improving welding quality. To fully utilize welding robots, proper debugging and programming are essential. Today, follow along with the CXZK seam tracking team to learn how to debug and program automatic welding robots. 1. Debugging Preparation Before starting the debugging process, ensure that the following preparatory work is completed: Equipment Inspection: Confirm that the welding robot and its related equipment, such as the welding torch, power supply, and fixtures, are in proper working condition. Additionally, check that the connections between the robot and the welding system are secure and that the cables are intact. Safety Measures: During debugging, ensure that the operating environment meets safety standards. This includes setting up safety barriers, protective equipment, and ensuring that operators wear the necessary protective gear. Program Backup: Before proceeding with debugging, it's recommended to back up the existing robot program to prevent data loss due to potential errors during the process. 2. Robot Programming Programming is the core of enabling the welding robot to execute tasks accurately. The main steps of programming an automatic welding robot are as follows: Path Planning: Defining the welding path is the first task in programming. Operators need to set the robot's movement trajectory based on the workpiece's shape and welding requirements. This can be done through manual teaching or using offline programming software. Welding Parameter Setup: Set the welding parameters according to different welding materials and process requirements, including welding current, voltage, welding speed, wire feed speed, etc. These parameters directly impact the final welding quality. Simulation Testing: Before actual welding, it is advisable to simulate the programming results using simulation software to ensure the accuracy of the welding path and parameter settings. Simulation tests can identify potential issues in programming beforehand, avoiding errors during actual operation.

In modern industrial production, reactors are crucial chemical equipment, and their welding quality directly impacts the safety and reliability of the entire system. However, due to the complex structure and diverse weld seams of reactors, traditional manual or automated blind welding methods struggle to ensure consistent welding quality. With the continuous development of automation and intelligent technology, laser seam tracking systems, with their high precision, stability, and real-time adjustment capabilities, show significant potential in automated welding. Today, let's explore the application of the ATINY laser seam tracking system in automated reactor welding within the chemical industry. Principle of the Laser Seam Tracking System The ATINY laser seam tracking system is an advanced device based on laser vision technology. The system scans the weld seam surface using a laser beam and acquires three-dimensional coordinate information of the weld seam in real-time. The specific principle includes three steps: laser scanning, image processing, and trajectory adjustment: Laser Scanning: The laser beam is expanded to form a laser line projected onto the weld seam surface. The reflected light is projected onto the imaging matrix through a high-quality optical system, calculating the distance and position information between the sensor and the weld seam surface. Image Processing: The high-speed image processing unit quickly processes the scanned images, extracting the characteristic information of the weld seam, such as width and position. Trajectory Adjustment: Based on the extracted weld seam characteristics, the system automatically calculates the optimal welding trajectory and adjusts the motion trajectory of the welding equipment through the control system, ensuring high precision and consistency in the welding process. Challenges in Reactor Automated Welding The main challenges faced during reactor welding are as follows: Complex Structure: Reactors typically have multilayer structures with complex weld seam shapes, and the welding areas are difficult to access. Blind welding by equipment struggles to achieve consistent welding results. Lar

　　In the field of industrial automation, intelligent welding robots have gradually become core equipment in the manufacturing industry due to their efficiency, precision, and flexibility. By integrating advanced sensors, automation technology, and artificial intelligence, these robots not only improve production efficiency but also enhance the stability of welding quality. In intelligent welding robot systems, the ATINY vision sensor plays a crucial role, providing essential support for the robot's "intelligence." Today, let's explore the advantages of using intelligent welding robots. 　　1. Improved Production Efficiency 　　Intelligent welding robots can perform welding operations continuously and efficiently. Unlike traditional manual welding, robots do not require breaks and can work 24/7, greatly enhancing the operational efficiency of the production line. Additionally, intelligent welding robots can quickly complete welding tasks and optimize work paths through programming, reducing operation time and shortening production cycles. 　　2. Enhanced Welding Precision 　　Intelligent welding robots are equipped with high-precision vision sensors that can capture images of the weld seam in real-time during the welding process and perform precise analysis and processing. This capability enables the robot to accurately identify the position, shape, and size of the weld seam, allowing for highly precise welding. 　　3. Automated Seam Tracking 　　The application of the ATINY vision sensor makes automatic seam tracking possible. By monitoring the weld seam's position and shape on the welding workpiece in real-time, the robot can dynamically adjust the welding path to ensure precise seam positioning. This not only improves welding consistency but also reduces defects caused by weld seam misalignment, thereby lowering the rework rate. The advantages of vision sensors become particularly apparent in complex and variable welding scenarios, effectively handling various irregular welding tasks. 　　4. Adaptability to Diverse Production Needs 　　Industrial production involves a wide variety of workpieces with different shapes, which traditional welding equip

　　With the continuous advancement of automation technology, welding robots have become widely used in the manufacturing industry. These robots not only improve production efficiency but also ensure the stability of welding quality. However, in practice, the complex shapes of workpieces, irregular weld paths, and assembly errors make precise welding by robots difficult to achieve. This is where a system capable of automated positioning and tracking becomes essential. Today, we will explore the role of the welding robot seam tracking system. 　　1. Enhancing Welding Precision 　　The ATINY seam tracking system uses laser sensors to detect the position and shape of the weld seam in real time, transmitting this data to the welding robot's control system. This enables the robot to automatically adjust the position, angle, and speed of the welding torch, ensuring that the seam and the torch remain in the optimal position throughout the welding process. This real-time tracking significantly enhances welding precision and reduces the likelihood of seam deviation, thereby ensuring welding quality. 　　2. Adapting to Complex Workpieces and Variable Weld Shapes 　　In actual production, the shapes of workpieces and weld paths are often irregular. The seam tracking system can recognize complex geometries and track changes in the weld seam in real time. This allows the welding robot to meet the needs of different workpieces, whether the seam is a straight line, a curve, or another complex shape, and still achieve high-quality welding. Additionally, the system can identify changes in seam gaps and make real-time adjustments, ensuring continuity and stability in the welding process. 　　3. Reducing Production Costs 　　The seam tracking system not only improves welding quality but also reduces rework and scrap rates, thereby lowering production costs. In traditional welding methods, seam deviation or improper parameter settings often necessitate multiple reworks, wasting both time and materials. However, with the precise positioning and real-time adjustments provided by the seam tracking system, rework frequency is significantly reduced, thereby increasing production efficiency. 　　

　　In the era of intelligent manufacturing, the demand for automated welding is increasing among production and manufacturing enterprises. In the medical equipment manufacturing field, such as the welding of medical mixing tank reactors, the requirements for precision and quality are particularly strict. Laser seam tracking technology, as an advanced auxiliary welding technology, can monitor and adjust the welding path in real-time, improving welding precision, reducing manual intervention, and becoming a powerful tool in the field of automated welding. Today, let's explore with ATINY the application of laser seam tracking technology in the automatic welding of medical mixing tank reactors. 　　Principle of Laser Seam Tracker 　　The laser seam tracker uses a laser sensor to scan and detect the weld seam in real-time, obtaining three-dimensional information about the weld seam and transmitting the data to the control system. The seam tracking system utilizes advanced algorithms to calculate the optimal welding path and automatically adjusts the movement trajectory of the welding robot or welding machine to ensure accuracy and stability during the welding process. The laser seam tracker can identify various complex weld seam shapes and surface features, and can operate stably even on irregular, reflective, or poorly finished surfaces. 　　Challenges in Automatic Welding of Reactors 　　Welding medical mixing tank reactors presents certain challenges, primarily due to the following difficulties: 　　Difficulty in Observation and Adjustment: Medical mixing tank reactors are relatively large workpieces, making it difficult to observe the welding status in real-time. If welding deviations occur under such circumstances, they cannot be corrected promptly, leading to significant welding defects. 　　Material Characteristics: Medical mixing tank reactors are usually made of stainless steel or other high-strength alloy materials, which require high standards for heat input and weld quality during welding. The heat distortion and stress concentration of the weld seam need to be precisely controlled to prevent welding defects. 　　Production Efficiency: With increasing market de