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　　With the continuous development of the manufacturing industry, automated welding technology is increasingly being applied across various sectors. As a critical security device, the welding quality in the production of safes directly affects the product's safety and reliability. To enhance the welding quality and production efficiency of safes, the ATINY laser seam tracking system has gradually become an important tool in automated welding. 　　Principle of Laser Seam Tracking System 　　The laser seam tracking system uses laser sensors to detect the position and shape of the weld seam in real-time. This data is then fed back to the welding control system, which adjusts the position of the welding torch and the welding parameters in real-time based on the feedback. This mechanism of real-time detection and adjustment effectively improves welding quality and reduces welding defects. 　　Challenges in Automated Welding of Safes 　　The welding process of safes faces the following challenges: 　　Complex and Variable Weld Seams: The structure of safes is complex, with diverse weld seam paths. Traditional welding methods struggle to ensure consistent welding quality. 　　High Precision Requirements: Safes demand high welding quality, as even minor welding defects can affect their safety performance. 　　Welding Deformation: Safes are often made of high-strength steel, which is prone to deformation and cracking during welding, imposing stringent requirements on the welding process. 　　Manual welding or blind welding with robots often fails to meet these requirements, leading to unstable welding quality and low production efficiency. 　　ATINY Laser Seam Tracking System Solution 　　In response to the challenges in automated welding of safes, the ATINY laser seam tracking system offers an effective solution. The system monitors the weld seam's position and shape in real-time using laser sensors, and adjusts the path with intelligent algorithms to ensure accuracy and stability in the welding process. The system features high precision, high speed, programmability, and stability, making it adaptable to different welding tasks and process requirements. 　　Advantage

　　With the continuous advancement of industrial technology, welding, as an essential joining process, has been widely applied in various fields. However, traditional welding methods suffer from low precision and inefficiency, failing to meet the demands of modern industrial production. The ATINY weld seam tracking system utilizes high-precision sensors, image processing technology, and advanced control algorithms to monitor and adjust the welding process in real time, thereby improving welding quality and production efficiency. 　　Components and Principles of the Weld Seam Tracking System 　　A weld seam tracking system typically consists of the following key components: 　　Sensors: Commonly used sensors include laser sensors and optical sensors. Laser sensors measure the shape and position of the weld seam by emitting laser beams and receiving the reflected light. Optical sensors capture images of the welding area through cameras for image processing. 　　Image Processing Module: The image processing module analyzes images of the welding area received from the sensors to identify the exact position and shape of the weld seam. Advanced image processing algorithms, such as edge detection, morphological processing, and deep learning, enable the system to precisely locate the weld seam. 　　Control System: Based on the weld seam information provided by the image processing module, the control system adjusts the movement path and parameters of the welding robot or welding head. Through real-time feedback control, it ensures precise positioning and stable movement of the welding torch along the weld seam. 　　Actuator: The welding robot or welding torch, serving as the actuator, performs welding operations according to the instructions from the control system. High-precision servo motors and motion controllers ensure the stability and accuracy of the welding process. 　　Applications of the Weld Seam Tracking System 　　The ATINY weld seam tracking system is widely used in the automotive manufacturing, shipbuilding, aerospace, and machinery manufacturing industries. These fields demand high welding quality and production efficiency, and the introduction of weld seam tracking

　　As an important part of modern manufacturing industry, automatic welding technology greatly improves production efficiency and welding quality. In the process of automatic welding, how to accurately locate the welding position is a very important problem. The accuracy of positioning directly affects the quality of welding and the consistency of welding seams. This article wants to create a small series of welding seam tracking system to take you to understand the common positioning methods and applications in automatic welding. 　　First, the importance of automatic welding positioning 　　Welding positioning refers to ensuring that the welding gun or welding robot can be accurately aligned with the part to be welded during the welding process. Accurate positioning can ensure the quality of welding and avoid welding defects caused by deviation, such as weld deviation and unstable welding. At the same time, good positioning can also improve production efficiency, reduce scrap rate and save costs. 　　Second, the commonly used automatic welding positioning method 　　1. Mechanical positioning 　　Mechanical positioning is achieved by clamping and fixing devices. The advantages of this method are simple structure, low cost, and suitable for mass production and regular shape of the workpiece. However, for production lines with complex shapes or requiring frequent workpiece changes, mechanical positioning is not flexible enough. 　　2. Visual sensor method 　　This method utilizes machine vision technology to identify and locate welding locations. By installing a vision sensor on the welding workpiece and using the corresponding software to process and analyze the image, the automatic recognition and positioning of the welding position can be realized. This method has the advantages of accurate positioning, fast speed and wide application range, but there are also some challenges, such as the influence of lighting conditions, sensor calibration and so on. 　　3. Laser sensor method 　　This method uses laser measurement technology to locate the welding position. By installing the laser sensor on the welding workpiece and using the corresponding software to process and analy

　　Water heaters are essential in daily life, and their market demand is continuously increasing. The inner tank, as the core component of a water heater, directly affects its performance and lifespan. Traditional welding processes for water heater inner tanks have various issues. To overcome these, ATINY has developed a laser seam tracking system that leverages advanced laser technology to achieve automation and intelligence in inner tank welding, significantly improving welding quality and production efficiency. 　　Principle of Laser Seam Tracking 　　The laser seam tracking system uses laser sensors to monitor the position and shape of the weld seam in real time and adjusts the welding path through intelligent algorithms. The main steps of its working principle are: 　　Laser Scanning: The laser sensor scans the welding area to obtain three-dimensional shape data of the weld seam. 　　Data Processing: The collected seam shape data is transmitted to the control system, where specific algorithms process and analyze the data to determine the actual position and shape of the weld seam. 　　Path Adjustment: Based on the analysis results, the control system adjusts the position and movement trajectory of the welding head in real time, ensuring the welding torch always follows the center of the seam. 　　Feedback Control: During the welding process, the laser sensor continuously monitors the seam position and welding quality, providing feedback to the control system for dynamic adjustments to ensure welding quality stability. 　　Challenges in Automated Welding of Water Heater Inner Tanks 　　Welding water heater inner tanks poses several challenges: 　　Complex Seam Shapes: Inner tanks usually have a cylindrical design with curved seams, making it difficult for traditional welding methods to ensure uniformity and consistency. 　　High Temperature and Pressure Environment: Water heaters need to withstand high temperatures and pressures, requiring weld seams to have excellent strength and sealing. Any slight mistake can result in weld leakage or cracks. 　　Material Characteristics: Inner tanks are mostly made of stainless steel, which is corrosion-resistant and strong bu

　　Welding is a great invention in industrial manufacturing and an indispensable technology in production. The welding process involves controlling heat or a heat source to act on two or more materials, forming a complete joint. For example, in arc welding, the welding operation involves a person, a robot, or a specialized holder moving the welding torch along the weld seam at a certain speed while applying heat energy according to specific process parameters. In addition to correct process parameters, the ability of the welding torch to accurately track the weld seam is crucial for ensuring welding quality. 　　Among various welding process information sensing methods, the visual method is recognized as providing the most information and the best results. As early as the early 1980s, many researchers at home and abroad began studying visual sensing methods, including passive visual sensing using arc light as the light source and active visual sensing with laser-assisted lighting. In passive visual methods, the arc itself monitors the position, avoiding advance detection errors caused by thermal deformation and directly obtaining information about the weld seam and molten pool, which is beneficial for adaptive control of welding quality. 　　However, direct observation is easily disturbed by the arc, and there are still no mature industrial applications reported. Therefore, active optical vision, especially structured light or scanning methods based on laser triangulation principles, has become the primary visual sensing method in welding industrial applications. The greatest feature of laser vision sensing is its ability to obtain precise geometric shapes and spatial positions of weld seam cross-sections, suitable for real-time weld seam tracking and adaptive process parameter control. 　　The basic principle of laser vision sensing is optical triangulation. A laser beam shines on the surface of the target object, forming a light spot. This spot produces an image point on a photosensitive detector through a lens on the camera. Since the relative position of the laser and camera is fixed, changes in the distance between the laser sensor and the target object cause correspondi

　　Welding is a critical process in manufacturing, widely used in automotive, aerospace, shipbuilding, and construction industries. With the advancement of technology, traditional welding quality inspection methods have gradually exposed inefficiencies and lack of precision, giving rise to visual monitoring technology in welding. Today, let's explore the application and challenges of visual monitoring technology in the welding process with the team from Tracking Creative Welding Seam Tracking System. 　　Application of Visual Monitoring Technology 　　Visual monitoring technology utilizes cameras and sensors to capture real-time images and data during the welding process. By employing image processing, pattern recognition, and other techniques, this technology enables real-time monitoring and quality inspection of the welding process. 　　Real-time Monitoring of Welding Parameters: By capturing images during the welding process, the visual monitoring system can analyze parameters such as welding voltage, current, and speed in real time, ensuring they meet preset requirements. For instance, if the welding current exceeds the normal range, the system can automatically issue an alert and adjust the parameters, thereby improving welding quality. 　　Automatic Detection of Welding Defects: Traditional welding defect detection often relies on human observation, which is prone to subjective influences and inefficiency. The visual monitoring system, however, can automatically detect welding irregularities, pores, cracks, and other defects through image processing and pattern recognition algorithms, issuing immediate alerts upon detecting defects. 　　Welding Quality Assessment: By analyzing image features and weld seam shapes during the welding process, the visual monitoring system can automatically calculate welding quality indicators, such as weld seam width, depth, and shape deviation. This helps determine whether the welding is qualified and provides suggestions for improving welding quality. 　　Data Recording and Analysis: The visual monitoring system can record data during the welding process and conduct in-depth data analysis. This helps identify potential issues in the

　　With the rapid development of industrial automation and intelligent manufacturing, welding, as a critical part of the manufacturing process, directly affects the performance and lifespan of products. Traditional weld seam inspection mainly relies on manual checks, which are not only inefficient but also prone to human error, leading to inconsistent inspection results. To address these issues, machine vision technology has been introduced into weld seam inspection, providing an efficient, accurate, and repeatable solution. 　　Basic Principles of Machine Vision 　　Machine vision inspection of weld seams primarily uses high-precision cameras and advanced image processing algorithms to achieve automatic, rapid, and accurate inspection. The main steps of machine vision inspection for weld seams are as follows: 　　Image Acquisition: Using high-resolution industrial cameras and precise optical systems, images of the workpiece after welding are captured to obtain high-definition images of the welding area. It is crucial to ensure the stability and clarity of the images during this process to guarantee the accuracy of subsequent processing. 　　Preprocessing: The captured images undergo noise reduction, contrast enhancement, and other operations to improve image quality, facilitating subsequent feature extraction and defect identification. 　　Feature Extraction: Image processing algorithms are used to extract features such as shape, size, and texture of the welding area. For example, edge detection algorithms can accurately identify the edges of weld points, which are critical for assessing the quality and position of the weld points. 　　Defect Identification: Based on the extracted feature information and predefined defect identification models, the system determines whether there are defects in the welding area, such as cracks, pores, slag inclusions, etc. 　　Generating Inspection Reports: The machine vision system can generate inspection reports, detailing the inspection status of each weld point, including quality grades, defect types, locations, and other information. This provides a basis for subsequent quality control and improvements. 　　Compared to traditional we

　　With the continuous improvement of industrial automation levels, welding technology is also rapidly advancing. Laser seam tracking systems, as an advanced technology, are being widely used in various complex welding scenarios. Particularly in the automated welding of corrugated sheets, laser seam tracking systems have solved many challenges that traditional welding methods struggle to overcome. Today, let's explore the application of the ATINY laser seam tracking system in the automated welding of corrugated sheets. 　　Principle of Laser Seam Tracking 　　The principle of the laser seam tracking system is based on laser triangulation measurement. The system emits a laser beam onto the weld seam, receives the reflected light through a high-quality optical system, and projects it onto an imaging matrix. By calculating the reflected light information, the three-dimensional position data of the weld seam is obtained. The system corrects deviations between the welding gun and the weld seam in real-time, accurately guiding the welding gun for automatic welding, achieving intelligent seam tracking. This improves welding precision and efficiency, especially suitable for large workpieces or large-scale automated welding production. 　　Application in Corrugated Sheets 　　Corrugated sheets, also known as profiled sheets, are products formed by machining sheet metal into various waveforms. Compared to sheets of the same thickness, the strength of corrugated sheets can be increased by 10 to 30 times. Therefore, in applications where product weight is strictly controlled, such as aerospace, shipbuilding, containers, truck bodies, and highway guardrails, the use of corrugated sheets has greatly increased. 　　Challenges in Welding Corrugated Sheets 　　Data Collection Challenges 　　For current mechanical automation technology, the most difficult aspect in the application of automated welding is data collection. From the perspective of automated welding, both data aggregation and technical optimization of mechanized manufacturing present considerable difficulties. Since data extraction technology is crucial for realizing automation technology, the collection and organization o

　　Welding quality defects are problems that arise during the welding process that do not meet design or standard requirements. These issues can affect the structural integrity, performance, and safety of the product. Welding, as a common joining process, is widely used in various industrial fields, but the generation of welding quality defects is not random. In this article, the editor of Weld Seam Tracking will discuss with you the main causes of welding quality defects. 　　Improper Material Selection 　　One of the main reasons for welding quality defects is improper material selection. Welding materials include welding rods, electrodes, welding wires, fluxes, etc. If the selected welding materials do not match the base metal or if there are quality issues with the welding materials, it can lead to problems such as insufficient joint strength and poor corrosion resistance. 　　Incorrect Welding Parameter Settings 　　During the welding process, the settings of welding parameters directly affect welding quality. If current, voltage, welding speed, and other parameters are set improperly, it can result in incomplete weld seams, residual weld slag, etc, thereby reducing the quality of the welded joint. 　　Inadequate Welding Operation Techniques 　　Inadequate welding operation techniques are also one of the main reasons for the generation of welding quality defects. If the operator lacks skills or is careless, it can easily lead to welding defects. For example, welding too quickly may result in incomplete fusion of the weld seam, while welding too slowly may lead to overheating, deformation, or cracking of the weld seam. 　　Equipment Issues 　　The quality and performance of welding equipment directly affect welding quality. If there are faults or improper maintenance in the equipment, such as unstable output current, voltage fluctuations, etc, it may lead to the generation of welding quality defects. 　　Design Deficiencies 　　The generation of welding quality defects may also be related to product design. Unreasonable design of welding structures or weld seam designs that do not meet welding process requirements can lead to welding defects. For example, overly dens