Racing boat flaw detection system

Abstract

The invention discloses a racing boat flaw detection system, and relates to the technical field of data processing. The system comprises a water tank, a water tightness detection device, an ultrasonic flaw detector, a camera, a 3D scanning device and a data processing device, the water tank is used for placing a to-be-detected racing boat; the water tightness detection device is used for detecting the water tightness of the racing boat in the water tank; the ultrasonic flaw detector is used for judging whether the cabin body of the racing boat has flaws or not; the camera is used for shooting a surface image of the racing boat; the 3D scanning device is used for scanning the racing boat to obtain a boat body three-dimensional model of the racing boat; the data processing device is used for determining whether flaws exist on the surface of the racing boat or not according to the surface image and determining the shape deviation and the size precision of the racing boat based on the three-dimensional model of the boat body. According to the invention, the watertightness, the structural integrity and the dimensional precision of the racing boat can be comprehensively, automatically and efficiently evaluated, so that the detection accuracy and the operation convenience are remarkably improved, and the situation of missing detection of manual detection is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a system for detecting defects in a racing boat. Background Art

[0002] Detecting defects in racing boats is a key step to ensure the safety and performance of racing boats. It can timely discover and repair potential structural defects or damage, thereby avoiding accidents during high-speed sailing or competitions and ensuring the safety of athletes. At the same time, by ensuring the shape deviation and dimensional accuracy of the racing boat, its fluid dynamics performance can be optimized, and the sailing speed and efficiency can be improved. This is especially important for racing boats in competitive sports, because small performance differences may directly affect the results of the competition. In addition, regular defect detection is also an important measure to maintain the long-term durability and investment value of the racing boat.

[0003] Related technologies Detection of racing boat defects mainly relies on manual inspection techniques, such as visual inspection to identify surface defects, whether the hull has cracks or scars, whether the paint is peeling, etc.

[0004] However, these detection technologies have the disadvantages of low detection efficiency and unreliable accuracy, especially those tiny or hidden defects in the hull, which are easily missed. Summary of the invention

[0005] In view of the above-mentioned technical problems and defects, the object of the present invention is to provide a racing boat defect detection system, which can comprehensively, automatically and efficiently evaluate the watertightness, surface and internal structure integrity and dimensional accuracy of the racing boat, thereby significantly improving the accuracy of detection and the convenience of operation, and reducing the number of missed detections during manual inspection.

[0006] To achieve the above-mentioned purpose, the present invention provides a racing boat defect detection system, comprising a water tank, a watertightness detection device, an ultrasonic flaw detector, a camera, a 3D scanning device and a data processing device; the water tank is located in the racing boat detection area, and is used to place the racing boat to be detected; the watertightness detection device is used to detect the watertightness of the racing boat when it is in the water tank; the ultrasonic flaw detector is used to emit ultrasonic signals to the inside of the cabin of the racing boat, and judge whether there are defects in the cabin of the racing boat according to the reflected wave signal returned by the racing boat; the camera is used to capture the surface image of the racing boat; the 3D scanning device is used to scan the racing boat to obtain a three-dimensional model of the hull of the racing boat; the data processing device is respectively connected to the tightness detection device, the ultrasonic flaw detector, the camera and the 3D scanning device, and is used to determine whether there are defects on the surface of the racing boat according to the surface image, and determine the shape deviation and dimensional accuracy of the racing boat based on the three-dimensional model of the hull.

[0007] The present invention can comprehensively detect the water tightness of the racing boat, the defects inside and outside the cabin, and the shape and size accuracy of the hull. By integrating a water tank, a water tightness detection device, an ultrasonic flaw detector, a camera, a 3D scanning device, and a data processing device, the detection system of the present invention realizes an automated and high-precision detection process, significantly improving the detection efficiency and accuracy. The design of this system reduces the subjectivity and uncertainty of manual detection, while reducing labor intensity and cost, ensuring that the racing boat meets safety and performance standards before launching.

[0008] In some embodiments, the data processing device is further used to perform noise reduction processing on the surface image through a preset image noise reduction model to reduce image noise caused by the water surface in the tank refracting light onto the surface of the racing boat.

[0009] By adopting the technical solution of the above embodiment, the rowing boat surface image is subjected to noise reduction processing through the preset image noise reduction model, effectively reducing the image noise caused by the refraction of the water surface in the water tank. This step optimizes the image quality and provides clearer image data for subsequent surface defect identification, thereby improving the accuracy and reliability of defect detection. In some embodiments, the data processing device is specifically used to input the surface image of the racing boat after noise reduction processing into a preset surface defect recognition model to obtain a result of whether there are defects on the surface of the racing boat.

[0010] By adopting the technical solution of the above embodiment, the data processing device can input the denoised surface image of the rowing boat into the preset surface defect recognition model, automatically analyze and determine whether there are defects on the rowing boat surface. This automated analysis process not only improves the detection speed, but also ensures the consistency and repeatability of the results.

[0011] In some embodiments, the water tightness detection device includes a seal and an inflation mechanism. When performing a water tightness detection, the seal is used to seal the opening of the racing boat to form a closed space in the cabin of the racing boat, and the inflation mechanism is used to inflate gas into the cabin of the racing boat.

[0012] By adopting the technical solution of the above embodiment, the sealing element and the inflation mechanism in the water tightness detection device can realize the precise control and pressure test of the enclosed space in the racing boat cabin. This configuration ensures the accuracy of the water tightness detection and provides an effective means for evaluating the sealing performance of the racing boat.

[0013] In some embodiments, the sealing member is provided with an inflation interface, and the air outlet of the inflation mechanism is connected to the inflation interface.

[0014] By adopting the technical solution of the above embodiment, the sealing member is provided with an inflation interface, so that the inflation mechanism can be directly connected to the sealing member, which simplifies the operation process of the water tightness detection device and improves the inflation efficiency and the accuracy of the test.

[0015] In some embodiments, the water tightness detection device further comprises an air pressure sensor, which is disposed inside the racing boat and connected to the data processing device.

[0016] By adopting the technical solution of the above-mentioned embodiment, the air pressure sensor integrated in the watertightness detection device can monitor the air pressure changes inside the racing boat in real time and transmit the data to the data processing device, thereby realizing precise control and data analysis of the watertightness detection process.

[0017] In some embodiments, the water tightness detection device includes a water immersion sensor. When performing water tightness detection, the water immersion sensor is installed at the bottom of the cabin of the racing boat, and the water immersion sensor is connected to the data processing device.

[0018] By adopting the technical solution of the above embodiment, a water immersion sensor is added to the detection system, which can sense the moisture changes at the bottom of the cabin in real time during the watertightness detection process, providing a direct and effective means for leakage detection.

[0019] In some embodiments, the ultrasonic flaw detector includes a pulse generator, a probe and a control processing unit; the pulse generator is used to generate a pulse signal; the probe is used to convert the pulse signal into an ultrasonic signal, and then transmit the ultrasonic signal into the cabin of the racing boat, and receive a reflected wave signal returned from the racing boat; the control processing unit is used to determine whether there are defects in the cabin of the racing boat based on the reflected wave signal.

[0020] By adopting the technical solution of the above-mentioned embodiment, a specific ultrasonic flaw detector is provided, which realizes in-depth detection of the internal structure of the racing boat cabin and effectively identifies internal defects through the coordinated work of the pulse generator, the probe and the control processing unit.

[0021] In some embodiments, the racing boat defect detection system further comprises a conveying mechanism for moving the racing boat into the water tank.

[0022] By adopting the technical solution of the above embodiment, the automatic movement of the racing boat during the inspection process is realized through the conveying mechanism, the need for manual handling is reduced, and the efficiency and safety of the inspection process are improved.

[0023] In some embodiments, the racing boat defect detection system also includes a user terminal for interacting with an operator and displaying the detection process and results.

[0024] The technical solution of the above-mentioned embodiment is adopted, and the integration of the user end provides an intuitive interactive interface for the operator, making the monitoring, control and result display of the detection process more convenient and efficient.

[0025] One or more technical solutions provided by the present invention have at least the following technical effects or advantages: 1. Fully automated testing process: The racing boat defect detection system of the present invention realizes the full automation of the testing process. From the positioning of the racing boat, watertightness testing, ultrasonic flaw detection, surface image and 3D model collection, to data processing and analysis, the design of the entire system reduces manual intervention and reduces errors caused by human factors, while significantly improving the detection efficiency and consistency.

[0026] 2. High-precision defect recognition capability: The high-precision defect recognition capability of the inspection system is another significant benefit. By integrating high-resolution cameras, 3D scanning devices and advanced image processing technology, the system is able to reduce the noise of the image caused by the water surface in the tank refracting light onto the surface of the boat, and accurately capture and analyze tiny defects on the surface of the boat, as well as detect defects in the internal structure through ultrasonic flaw detection technology. This high-precision detection capability is crucial to ensure the performance and safety of the boat.

[0027] 3. User interaction and data integration: Through the user-side design, an intuitive user interaction interface is provided, allowing operators to easily monitor the entire inspection process and obtain inspection results in real time. Combined with the functions of the data processing device, the system can effectively integrate and analyze the inspection data and generate detailed reports, providing accurate data support and decision-making basis for the manufacture and maintenance of racing boats. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings herein are incorporated into and constitute a part of the specification, showing embodiments consistent with the present invention, and together with the specification, are used to explain the principles of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings: Figure 1 is a schematic diagram of the state of a racing boat when being tested in a water tank in an embodiment of the present invention; Figure 2 is a schematic diagram of the architecture of a rowing defect detection system according to an embodiment of the present invention; Figure 3 is a schematic diagram of the connection relationship of a rowing defect detection system according to an embodiment of the present invention; Figure 4 Schematic diagram of the operation of the conveying mechanism in the embodiment of the present invention. DETAILED DESCRIPTION

[0029] The terms used in the following embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to be limiting of the present invention. As used in the specification of the present invention, the singular expressions "a", "a", "above", "the" and "this" are intended to also include plural expressions, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present invention refers to any or all possible combinations comprising one or more of the listed items.

[0030] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood as implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, unless otherwise specified, the meaning of "plurality" is two or more.

[0031] It should also be noted that, unless otherwise clearly specified and limited, in the embodiments of the present invention, the terms such as "setting" and "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two components; it can be a wired communication connection or a wireless communication connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. The embodiments of the present invention are described in detail below.

[0032] The embodiment of the present invention provides a racing boat defect detection system (hereinafter referred to as the system), such as Figure 1 and Figure 2 As shown, the system includes a water tank 1, a water tightness detection device 2, an ultrasonic flaw detector 3, a camera 4, a 3D scanning device 5 and a data processing device 6. Among them: The water tank 1 is located in the rowing boat testing area and is used to place the rowing boat to be tested.

[0033] Specifically, the water tank 1 may be made of a strong and durable material, and the design fully considers the size and shape of the rowing boat. The water tank 1 may include a fixing fixture or support structure inside to ensure that the rowing boat maintains a stable position during the test to avoid affecting the test results due to movement or rotation.

[0034] For example, the tank 1 may be equipped with an adjustable bracket and clamping system to accommodate different models and sizes of racing boats. In addition, the capacity and depth of the tank 1 are also specially designed to meet the testing needs of fully submerged or partially submerged racing boats to ensure the accuracy of watertightness testing.

[0035] The watertightness detection device 2 is used to detect the watertightness of the racing boat when it is in the water tank 1.

[0036] Specifically, the watertightness detection device 2 is specifically used to evaluate the underwater sealing performance of the racing boat. For example, the watertightness detection device 2 can pressurize the racing boat and then use a highly sensitive pressure sensor to monitor whether there is a pressure drop, which may indicate a leak. In addition, the watertightness detection device 2 can also be equipped with a bubble detector, which can quickly locate the leak point when tiny bubbles appear on the surface of the racing boat.

[0037] In this embodiment, the bubble detector is a highly sensitive leak detection tool specially designed to identify tiny leaks when the boat is underwater. The detector uses bubbles generated when a leak occurs as a detection signal. When the boat is placed in the water tank 1 and pressurized, if there is a leak point in any part of the hull, the compressed air or water filled in the hull will escape from these points to form bubbles. The bubble detector captures the tiny changes produced by these bubbles through optical sensors or special acoustic wave sensors, whether it is the sound waves when the bubbles are formed underwater or the changes in light reflection. For example, the acoustic wave sensor can detect the high-frequency sound wave signal generated by the bubble, while the optical sensor can identify the light refraction or light intensity changes caused by the bubble on the water surface or underwater. These sensors convert the detected signals into electrical signals, trigger the alarm system and accurately locate the leak, so as to achieve rapid response and repair. The high sensitivity and accuracy of the bubble detector make it an indispensable component in watertightness detection, ensuring the safety and reliability of the boat.

[0038] The ultrasonic flaw detector 3 is used to transmit ultrasonic signals to the interior of the cabin of the racing boat, and to determine whether there are any defects in the cabin of the racing boat based on the reflected wave signals returned by the racing boat.

[0039] In this embodiment, the ultrasonic flaw detector 3 is an advanced non-destructive testing device used for the detection of internal defects in materials. In the rowing flaw detection system, the flaw detector transmits high-frequency ultrasonic waves into the rowing material and receives the sound waves reflected by the internal structure. These reflected waves can reveal defects in the material, such as cracks, holes or discontinuities. For example, if the ultrasonic wave encounters a crack inside the material, it will produce an echo that is different from the normal reflected wave, and this difference can be identified by the signal processing system of the flaw detector. The accuracy and reliability of the ultrasonic flaw detector 3 make it an important tool for detecting the internal integrity of the rowing cabin.

[0040] The camera 4 is used to capture the surface image of the racing boat.

[0041] In this embodiment, the camera 4 plays a role in capturing high-definition surface images in the rowing defect detection system. These images are essential for subsequent surface defect analysis. The camera 4 may use a high-resolution sensor and a professional optical lens to ensure that high-quality images can be obtained under different lighting conditions. For example, the camera 4 may be equipped with automatic exposure and white balance functions to adapt to the light changes in the tank 1. In addition, the camera 4 system may also include image stabilization technology and zoom capabilities to capture every detail of the rowing surface, whether it is a large area scan at a long distance or a detailed inspection at a close distance.

[0042] The 3D scanning device 5 is used to scan the racing boat to obtain a three-dimensional model of the hull of the racing boat.

[0043] In this embodiment, the 3D scanning device 5 is a high-tech device in the detection system for obtaining an accurate three-dimensional model of the racing boat hull. This device uses laser or structured light technology to capture its shape and size information by scanning the surface of the racing boat. 3D scanning can provide high-precision point cloud data, which can then be used to reconstruct the three-dimensional model of the racing boat. For example, the 3D scanning device 5 can detect dimensional parameters such as the curvature, length, width and height of the racing boat hull, as well as unevenness or other irregularities on the hull surface. By comparing with the design model, the 3D scanning device 5 can help the inspection personnel find any shape deviation or manufacturing error.

[0044] The data processing device 6 is respectively connected to the tightness detection device, the ultrasonic flaw detector 3, the camera 4 and the 3D scanning device 5, and is used to determine whether there are defects on the surface of the racing boat according to the surface image, and determine the shape deviation and size accuracy of the racing boat based on the three-dimensional model of the hull.

[0045] In this embodiment, the data processing device 6 is the core of the rowing defect detection system, which is responsible for receiving, integrating and analyzing the data collected from various detection components. The data processing device 6 may include high-performance computing hardware and professional analysis software.

[0046] For example, it can use machine learning algorithms to analyze the images captured by the camera 4 and identify surface defects on the racing boat, such as scratches, dents, or coating defects. At the same time, the data processing device 6 can also process the point cloud data obtained by 3D scanning to evaluate the shape deviation and dimensional accuracy of the racing boat. By integrating this data, the data processing device 6 can generate a comprehensive inspection report to provide accurate guidance for the manufacture and maintenance of the racing boat.

[0047] The rowing defect detection system of this embodiment realizes all-round and high-precision defect detection of rowing by integrating innovative technologies, and significantly improves the detection efficiency and accuracy. The water tank 1 used in the system provides a stable detection platform for rowing, which can simulate the real water environment and ensure the smooth progress of watertightness detection and other detection processes. The watertightness detection device 2 simulates the actual water environment and conducts strict sealing performance tests on rowing, effectively preventing potential safety risks caused by structural defects. The application of ultrasonic flaw detector 3 uses the reflection characteristics of ultrasonic waves inside the material to accurately identify the defects inside the cabin, providing a strong guarantee for the internal structural integrity of the rowing. The combination of high-definition camera 4 and 3D scanning device 5 can not only capture the subtle defects on the surface of the rowing, but also build an accurate three-dimensional model, providing detailed three-dimensional data for the evaluation of shape deviation and dimensional accuracy. As the nerve center of the system, the data processing device 6 comprehensively analyzes the data collected by each detection device, automatically completes defect identification and dimensional accuracy evaluation, and greatly reduces the subjectivity and labor intensity of manual detection. Through technological integration and innovation, the system not only improves the automation level of rowing testing, but also ensures the reliability and scientific nature of the test results, providing strong support for quality control and product performance improvement in the rowing manufacturing industry.

[0048] In this embodiment, when processing the point cloud data obtained by 3D scanning, the data processing device 6 first performs data preprocessing, including denoising and filtering, to remove abnormal values ​​and irrelevant information in the point cloud to ensure the accuracy of the data. Then, the device uses a professional 3D reconstruction algorithm to generate a three-dimensional model of the racing boat from the point cloud data. This model can accurately reflect the actual shape and size of the racing boat.

[0049] The data processing device 6 then compares the 3D model with the design model using the design drawings in the computer-aided design (CAD) software. By comparing and analyzing, the device is able to identify deviations between the actual manufactured boat and the design specifications. This process involves measuring geometric dimensions, assessing the fit of the shape, and verifying the dimensional accuracy.

[0050] The data processing device 6 also uses specific algorithms, such as point cloud registration technology, to match the scanned point cloud data with corresponding points on the CAD model to accurately quantify the shape deviation. In addition, the device also evaluates the key dimensions of the racing boat, such as length, width and depth, to ensure that they meet the design specifications and manufacturing tolerances.

[0051] Finally, the data processing device 6 generates a detailed inspection report, which includes a visual representation of the 3D model, specific numerical values ​​of dimensional deviations, and any dimensional accuracy issues that are out of tolerance. This report provides important quality control information to the racing boat manufacturer, helping them make necessary adjustments and improvements to ensure the performance and safety of the racing boat.

[0052] In some embodiments, the data processing device 6 is further used to perform noise reduction processing on the surface image of the racing boat using a preset image noise reduction model to reduce image noise caused by the water surface in the water tank 1 refracting light onto the surface of the racing boat.

[0053] Specifically, the data processing device 6 performs post-processing on the captured rowing boat surface image through a preset image noise reduction model to eliminate or reduce the image noise generated by the refraction of light by the water surface in the water tank 1. This noise reduction process is crucial because the fluctuation and refraction effect of the water surface in the water tank 1 may produce bright spots, ripples or other visual interferences on the image, which may cover up or blur the real defects on the rowing boat surface.

[0054] By applying image noise reduction technology, the data processing device 6 can effectively remove these undesirable noises from the image through the image noise reduction model, thereby improving the image quality and making the defect detection more accurate. For example, the noise reduction model may adopt spatial filtering technology, frequency domain filtering technology or more advanced machine learning algorithms, which are trained to identify and distinguish between noise and actual defects in the image. In this way, the system can provide clearer and more reliable surface images, laying a solid foundation for subsequent defect analysis.

[0055] In addition, image noise reduction processing also helps to improve the automated analysis capabilities of the data processing device 6, reduce manual intervention, and improve detection efficiency. In practical applications, this means that the system can work stably under various water tank 1 environmental conditions, whether in the laboratory or in outdoor waters, to ensure the high quality of the rowing surface image and the consistency and accuracy of the detection results. Through this integrated image noise reduction function, the data processing device 6 significantly improves the performance and reliability of the entire detection system.

[0056] In this embodiment, the training of the image denoising model involves using a large amount of labeled data (including noisy images captured from the actual water tank 1 detection environment and the corresponding clean images) to teach the algorithm how to identify and remove image noise. The training process is as follows: First, we need to collect and prepare a dataset of images containing various types of noise. These images may be affected by the refraction of light from the water surface of the tank 1, showing visual characteristics different from the surface defects of the rowing boat. Then, we use these noisy images as training inputs and compare them with the corresponding noise-free or artificially denoised images as target outputs.

[0057] During training, the model attempts to learn how to predict and remove noise from the input image, usually using deep learning techniques such as convolutional neural networks (CNNs). The network structure may include multiple convolutional layers, activation functions, and pooling layers to automatically extract image features and learn noise patterns. Through supervised learning, the model uses a loss function (such as mean squared error or root mean squared error) to measure the difference between the predicted output and the target output, and adjusts the network parameters through a back-propagation algorithm to minimize this difference.

[0058] In order to improve the generalization ability of the model, data augmentation techniques such as rotation, scaling, cropping or color transformation are also used during training to simulate different detection environments and lighting conditions. In addition, regularization techniques such as dropout and batch normalization may be used to prevent the model from overfitting. After multiple iterations of training, the model gradually learns to remove the noise caused by the refraction of the water surface in the tank 1 from the rowing surface image, improves the image quality, and provides clearer image data for defect detection.

[0059] In some embodiments, the data processing device 6 is specifically used to input the surface image of the racing boat after noise reduction processing into a preset surface defect recognition model to obtain the result of whether there are defects on the surface of the racing boat.

[0060] Specifically, the data processing device 6 first receives the rowing surface images that have been subjected to noise reduction processing. These images can be subjected to noise reduction processing by the image noise reduction model of the above-mentioned embodiment, thereby removing or reducing the noise caused by the refraction of the water surface in the water tank 1, thereby improving the clarity and quality of the images. Next, the data processing device 6 inputs these optimized images into a preset surface defect recognition model. These models are usually based on machine learning and deep learning technologies, such as convolutional neural networks (CNNs), which can automatically identify abnormal areas in images and compare them with normal surface features to identify possible defects.

[0061] The surface defect recognition model has learned a large number of normal and defective surface images of the racing boat during the training phase, so that it can distinguish different types of defects, such as scratches, dents, bubbles, uneven colors, etc. In the actual detection process, the model will analyze the input image and use the knowledge gained from its training to identify any area that does not meet the normal surface characteristics. Finally, the data processing device 6 will generate a detailed report based on the analysis results of the model, clearly indicating whether there are defects on the surface of the racing boat and the type, location and size of the defects.

[0062] Through this process, the data processing device 6 not only improves the accuracy and reliability of defect detection, but also significantly improves the detection efficiency through automation, reduces the need for manual detection, and ensures the consistency and repeatability of the detection results. In addition, the device can also adapt to different detection environments and conditions, ensuring that high-quality detection results can be provided in various situations, providing strong technical support for the manufacture and maintenance of racing boats.

[0063] In this embodiment, the training process of the surface defect recognition model is as follows: First, a large number of images of the surface of the boat are collected, which include various types of defects as well as defect-free areas. These images are then labeled, that is, the defects in the images are identified and classified by professionals or using automated tools. Using this labeled data, deep learning models, especially convolutional neural networks (CNNs), are trained under a supervised learning framework. The model gradually adjusts its internal parameters and weights by learning the differences between normal and abnormal surface features.

[0064] During the training process, the model is exposed to thousands of image samples to identify and understand different patterns and characteristics of defects. Methods used may include data augmentation to artificially increase the diversity of the dataset and simulate different detection conditions and lighting changes. In addition, in order to prevent the model from overfitting and improve its generalization ability, techniques such as dropout and regularization are used. Model training also includes validation and testing phases to evaluate the performance of the model on unknown data and make necessary adjustments and optimizations.

[0065] Through this iterative training process, the surface defect recognition model is able to achieve a high degree of accuracy and effectively identify tiny defects on the surface of the racing boat, even those that are difficult for the human eye to detect. The trained model is then integrated into the data processing device 6 to provide powerful analysis and recognition capabilities for the racing boat defect detection system.

[0066] In some embodiments, the watertightness detection device 2 includes a seal and an inflation mechanism. When performing a watertightness detection, the seal is used to seal the opening of the racing boat to form a closed space in the cabin of the racing boat, and the inflation mechanism is used to inflate gas into the cabin of the racing boat.

[0067] The watertightness detection device 2 is specially designed to ensure the safety and reliability of the racing boat when it is used underwater. The watertightness detection device 2 may include two main parts: a seal and an inflation mechanism. The function of the seal is to close all openings of the racing boat, such as hatches or any other possible vents, during the watertightness test. By using customized sealing materials and a close-fitting design, the seal can be tightly combined with the opening edge of the racing boat to ensure that a completely enclosed space is formed during the test to prevent the exchange of water and air.

[0068] The inflation mechanism is responsible for filling the cabin of the racing boat with gas. The inflation mechanism includes components such as a gas supply source, a pressure regulator, a flow control valve, and connecting pipelines. By precisely controlling the amount and pressure of gas charged, the pressure in the cabin can be gradually increased until the predetermined watertightness test standard is reached. During this process, any leak in the racing boat will cause the air pressure to drop, thus detecting defects in watertightness.

[0069] At the same time, if there is a leak in the racing boat, the gas inside it will leak out to the outside, and bubbles will be easier to find in the water tank 1, and the leak can be quickly located through the bubbles.

[0070] This automated and precise detection method not only improves detection efficiency, but also reduces human interference, ensuring the accuracy and reliability of the test results. With this comprehensive watertightness detection device2, racing boat manufacturers and maintenance personnel can quickly discover and repair potential leaks to ensure the safety of racing boats.

[0071] In some embodiments, the sealing member is provided with an inflation interface, and the air outlet of the inflation mechanism is connected to the inflation interface.

[0072] Specifically, the seal is responsible for closing the opening of the rowing boat to form a closed space, wherein the present embodiment is specially designed with an inflation interface, which is designed to achieve direct connection and efficient cooperation with the inflation mechanism. The size and shape of the inflation interface are precisely matched with the air outlet of the inflation mechanism, ensuring that the gas can be transmitted from the inflation mechanism to the rowing boat's cabin without leakage. When performing a watertightness test, the air outlet of the inflation mechanism is closely connected to the inflation interface on the seal, forming a closed gas channel, so that the inflation mechanism can stably deliver compressed air to the rowing boat cabin. This connection method not only simplifies the operating process of the equipment, but also improves the airtightness and detection efficiency, ensuring the uniform distribution and precise control of the pressure in the cabin during the detection process. Through the close combination of the inflation interface and the air outlet, the rowing boat can be effectively pressurized to simulate the underwater pressure environment, and then detect any possible leakage points, thereby ensuring that the watertightness of the rowing boat meets safety standards.

[0073] In some embodiments, Figure 3 As shown, the watertightness detection device 2 further includes an air pressure sensor 21 , which is disposed inside the racing boat and connected to the data processing device 6 .

[0074] The composition of the watertightness detection device 2 includes, in addition to the seal and the inflation mechanism, a key component - the air pressure sensor 21. This air pressure sensor 21 is precisely set inside the racing boat, and its function is to monitor and record the pressure changes in the cabin in real time. When performing a watertightness test, the inflation mechanism fills the racing boat cabin with gas to form a certain pressure environment, and the air pressure sensor 21 is responsible for capturing the pressure data in this process. By connecting the air pressure sensor 21 to the data processing device 6, it can be ensured that the pressure data is transmitted and analyzed in real time, thereby achieving an accurate evaluation of the watertightness performance of the racing boat.

[0075] The data of the air pressure sensor 21 is crucial to the detection process. It can not only help the operator understand the current inflation status and ensure that the pressure is maintained within a safe test range, but also quickly identify the presence of a leak when a pressure drop is detected. In addition, the readings of the air pressure sensor 21 can also be used to generate pressure curves, which reflect the changes in the pressure in the rowing cabin over time, providing an intuitive basis for analysis and diagnosis. Through this intelligent monitoring and data analysis, the watertightness detection device 2 can provide efficient and accurate detection results, ensuring that the rowing meets strict watertightness requirements before launching.

[0076] In some embodiments, Figure 3 As shown, the water tightness detection device 2 may also include a water immersion sensor 22. When performing water tightness detection, the water immersion sensor 22 is installed at the bottom of the cabin of the racing boat, and the water immersion sensor 22 is connected to the data processing device 6.

[0077] In this embodiment, the water sensor 22 is specially installed at the bottom of the rowing cabin. This choice is made considering that when there is a leak in the cabin, water will flow to the bottom of the rowing cabin and then contact the water sensor 22. The water sensor 22 is designed to respond to the presence of water. Once moisture is detected, it can immediately send a signal to indicate a possible leak.

[0078] The water immersion sensor 22 is connected to the data processing device 6, ensuring that any abnormality detected by the water immersion sensor 22 can be transmitted and processed in real time. The data processing device 6 receives the signal from the water immersion sensor 22 and analyzes it to determine whether there is a leak and the severity of the leak. This automated response mechanism greatly improves the efficiency and accuracy of the detection process, reduces the interference of human factors, and ensures the reliability of the detection results.

[0079] By integrating the water immersion sensor 22, the watertightness detection device 2 can not only detect the occurrence of a leak, but also provide accurate information on the location of the leak, which is essential for quickly locating the problem and taking repair measures. In addition, the use of the water immersion sensor 22 enhances the adaptability of the detection system, enabling it to work stably under different environmental conditions, whether it is tested in a laboratory or in outdoor waters. The addition of the water immersion sensor 22 provides an additional layer of safety for the watertightness detection device 2, ensuring that the racing boat can pass a rigorous watertightness test before launching.

[0080] In some embodiments, the ultrasonic flaw detector 3 includes a pulse generator 31, a probe 32 and a control processing unit 33; the pulse generator 31 is used to generate a pulse signal; the probe 32 is used to convert the pulse signal into an ultrasonic signal, and then transmit the ultrasonic signal into the cabin of the racing boat, and receive a reflected wave signal returned from the racing boat; the control processing unit 33 is used to determine whether there is a defect in the cabin of the racing boat based on the reflected wave signal.

[0081] Among them, the ultrasonic flaw detector 3 is a key technical device in the rowing flaw detection system. It consists of three main parts: a pulse generator 31, a probe 32 and a control processing unit 33. The pulse generator 31 is the starting component of the ultrasonic flaw detector 3 and is responsible for generating electrical pulse signals, which are the basis for subsequent ultrasonic generation. These electrical pulse signals are then converted into ultrasonic signals. This conversion process is performed by the probe 32, which is one of the core components of the ultrasonic flaw detector 3.

[0082] The probe 32 is not only responsible for converting the electrical pulse signal into an ultrasonic signal and transmitting it into the cabin of the rowing boat, but also for receiving the reflected wave signal returned from the cabin of the rowing boat. These reflected wave signals contain important information about the internal structure of the cabin, and they are generated when the ultrasonic wave encounters discontinuities or material interfaces in the cabin. The reflected wave signals received by the probe 32 are then transmitted to the control processing unit 33.

[0083] The control processing unit 33 is the brain of the ultrasonic flaw detector 3, which is responsible for processing and analyzing the reflected wave signal received by the probe 32. Through advanced signal processing algorithms, the control processing unit 33 can identify the characteristics in the signal, such as waveform changes, amplitude differences, etc., which are associated with possible defects inside the cabin. The software inside the control processing unit 33 will compare these signals with known defect characteristics to determine whether there are defects in the cabin of the rowing boat, such as cracks, gaps or other discontinuities. At the same time, the control processing unit 33 can be connected to the data processing device 6 to transmit the detected data to the data processing device 6.

[0084] The data processing device 6 further processes the data, including further analysis, generating easy-to-understand reports and visual displays, and storing the test results for future reference and comparison.

[0085] In addition, the control processing unit 33 may also include a data logging function to save the information collected during the detection process for subsequent analysis and report generation. Through this integrated design, the ultrasonic flaw detector 3 can provide an accurate assessment of the internal structural integrity of the racing boat, ensuring high efficiency and accuracy of the detection process.

[0086] In this embodiment, the detection principle and process of the ultrasonic flaw detector 3 are based on the propagation characteristics of ultrasonic waves in different media. The ultrasonic flaw detector 3 first generates electrical pulse signals through the pulse generator 31, and these signals trigger the probe 32 to convert the electrical pulses into ultrasonic signals. The ultrasonic waves emitted by the probe 32 enter the cabin material of the racing boat at a specific frequency and angle. When the ultrasonic waves propagate inside the cabin, if they encounter material discontinuities, such as cracks, holes or other defects, the ultrasonic waves will be reflected at the interfaces of these defects to form reflected waves.

[0087] These reflected waves are then captured by the probe 32 and converted back into electrical signals. The control processing unit 33 receives these electrical signals and uses built-in algorithms to analyze the characteristics of the reflected waves, such as arrival time, amplitude, and phase change. By comparing the differences in the characteristics of the reflected waves with the normal waveform, the control processing unit 33 can determine whether there are defects in the cabin. For example, if the arrival time of the reflected wave is earlier than expected, it may indicate the presence of a defect close to the surface; while a significant change in amplitude may indicate the size and severity of the defect.

[0088] In addition, the control processing unit 33 of the ultrasonic flaw detector 3 may also calculate the precise location and depth of the defect by combining the known material properties and the ultrasonic propagation speed. Finally, the system will generate a detailed inspection report, including an assessment of the location, size and nature of the defect, to provide a basis for repair or further inspection. The whole process is automated, reducing the interference of human factors and improving the accuracy and efficiency of inspection.

[0089] In some embodiments, Figure 4 As shown, the racing boat defect detection system further comprises a conveying mechanism 7 for moving the racing boat into the water tank 1 .

[0090] The conveying mechanism 7 is specially designed to achieve accurate positioning and movement of the rowing boat during the detection process. The conveying mechanism 7 may include a series of automated mechanical devices, such as guide rails, rollers, conveyor belts or air cushion systems, to ensure that the rowing boat can be smoothly and accurately moved into the water tank 1. The operation of the conveying mechanism 7 can be remotely controlled by the control unit to achieve automated control, thereby reducing the need for manual handling, reducing labor intensity, and improving the efficiency and safety of the detection process.

[0091] First, the boat is placed in the loading area, and the conveying mechanism 7 smoothly moves the boat from the loading area to the designated position directly above the water tank 1 through a series of automated mechanical actions, such as using air cushion suspension or roller conveyor belts. At this time, the conveying mechanism 7 may be equipped with a precise positioning system to ensure that the boat is aligned with the detection position in the water tank 1. Subsequently, the conveying mechanism 7 lowers the boat through the control module, which may be through a vertical guide rail or a lifting platform, and slowly lowers it into the water tank 1, so that the boat is completely immersed or reaches a predetermined detection depth.

[0092] After the boat has completed the defect inspection, the conveying mechanism 7 is started again, and the boat is lifted from the water tank 1 to a safe height through the same vertical guide rail or lifting platform, and then smoothly moved out of the water tank 1 along the roller conveyor or air cushion suspension system and sent back to the unloading area or the next production link. For example, if the air cushion suspension system is used, the conveying mechanism 7 will form a layer of air cushion under the boat, making the boat seem to be suspended in the air, thereby achieving non-contact smooth movement and positioning.

[0093] During the whole process, the automated control of the conveying mechanism 7 ensures the precise positioning and safe movement of the racing boat, improves the detection efficiency and reduces manual intervention.

[0094] By integrating the conveyor mechanism 7, the racing boat defect detection system not only improves the automation level of the detection work, but also ensures the consistency and repeatability of the operation, which is essential for maintaining the quality standards of the detection. The addition of the conveyor mechanism 7 makes the entire detection process smoother, reduces the waiting time and potential risks caused by manual handling, and provides a highly efficient and reliable detection solution for racing boat manufacturers.

[0095] In some embodiments, the rowing defect detection system further comprises a user terminal 8 for interacting with an operator and displaying the detection process and results.

[0096] Specifically, the user terminal 8 includes an intuitive interactive interface, which provides a platform for operators to interact with the system. The user terminal 8 is designed to be easy to use and is equipped with a graphical user interface (GUI), allowing the operator to input instructions through a touch screen or physical buttons to control various stages of the inspection process, such as starting the conveying mechanism 7 to move the boat into the water tank 1, activating the watertightness detection device 2 for pressurization testing, operating the ultrasonic flaw detector 3 for internal defect detection, adjusting the camera 4 and the 3D scanning device 5 to capture images, etc. During the inspection process, the user terminal 8 displays feedback and data from various inspection components in real time, such as ultrasonic reflection signals, watertightness test results, surface images and 3D models, etc.

[0097] The user terminal 8 also has a data visualization function, which converts complex test data into charts, graphs or 3D views, so that operators can intuitively understand the test results. In addition, the user terminal 8 also provides historical record query, test report generation and printing functions, which facilitate operators to record, analyze and report the test process and results. Through the user terminal 8, operators can monitor the entire test process to ensure that the test activities are carried out in accordance with established quality standards and safety regulations, while improving the efficiency and accuracy of the test.

[0098] The rowing defect detection system of this embodiment is an integrated, automated, high-tech solution designed to efficiently and accurately detect potential defects and flaws in rowing. The system consists of a number of key components, including a dedicated water tank 1 for placing and fixing the rowing to be tested; an advanced watertightness detection device 2, which integrates a seal, an inflation mechanism, an air pressure sensor 21, and a water immersion sensor 22, and can perform a comprehensive test of the watertightness of the rowing in a closed environment; and an ultrasonic flaw detector 3, equipped with a pulse generator 31, a probe 32, and a control processing unit 33, which uses ultrasonic technology to perform in-depth flaw detection on the interior of the rowing cabin and accurately identify internal defects.

[0099] The system is also equipped with a high-definition camera 4 and a 3D scanning device 5, which are used to capture images of the surface of the racing boat and build a three-dimensional model of the hull, respectively, to provide data support for accurate surface and shape analysis. All these detection devices are connected to a powerful data processing device 6, which can not only perform image noise reduction and defect identification, but also analyze 3D data to evaluate the shape deviation and dimensional accuracy of the racing boat.

[0100] Further enhancing the system’s functionality is a User Terminal 8 interface that allows operators to interact with the system, monitor the inspection process, and display inspection results in real time. The intuitive design of the User Terminal 8 enables operators to easily manage the inspection process and quickly obtain inspection reports.

[0101] The addition of the conveying mechanism 7 enables the rowing boat to automatically move in and out of the water tank 1, further improving the efficiency and safety of the detection process. The design of the entire system takes into account the ease of operation and the accuracy of the detection results, ensuring the performance and reliability of the rowing boat under various conditions of use.

[0102] This embodiment not only improves the speed and accuracy of racing boat inspection, but also reduces human errors through automated processes, providing a comprehensive quality control solution for racing boat manufacturers and maintenance teams.

[0103] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A racing boat defect detection system, characterized in that: include: A water tank, located in the rowing test area, for placing the rowing boats to be tested; A watertightness detection device, used for detecting the watertightness of the racing boat when it is in the water tank; An ultrasonic flaw detector, used for transmitting ultrasonic signals into the cabin of the racing boat, and judging whether there are any defects in the cabin of the racing boat according to the reflected wave signals returned by the racing boat; A camera, used for capturing a surface image of the racing boat; A 3D scanning device, used for scanning the racing boat to obtain a three-dimensional model of the hull of the racing boat; A data processing device is respectively connected to the watertightness detection device, the ultrasonic flaw detector, the camera and the 3D scanning device, and is used to determine whether there are defects on the surface of the racing boat based on the surface image, and determine the shape deviation and dimensional accuracy of the racing boat based on the three-dimensional model of the hull.

2. The rowing defect detection system according to claim 1, characterized in that: The data processing device is also used to perform noise reduction processing on the surface image through a preset image noise reduction model to reduce image noise caused by the water surface in the water tank refracting light onto the surface of the racing boat.

3. The rowing defect detection system according to claim 2, characterized in that: The data processing device is specifically used to input the surface image of the racing boat after noise reduction processing into a preset surface defect recognition model to obtain the result of whether there are defects on the surface of the racing boat.

4. The rowing defect detection system according to claim 1, characterized in that: The watertightness detection device comprises a sealing member and an inflation mechanism. When performing a watertightness detection, the sealing member is used to seal the opening of the racing boat to form a closed space in the cabin of the racing boat, and the inflation mechanism is used to inflate gas into the cabin of the racing boat.

5. The rowing defect detection system according to claim 4, characterized in that: The sealing member is provided with an inflation interface, and the air outlet of the inflation mechanism is connected to the inflation interface.

6. The rowing defect detection system according to claim 4, characterized in that: The water tightness detection device also includes an air pressure sensor, which is arranged inside the racing boat and connected to the data processing device.

7. The rowing defect detection system according to claim 1, characterized in that: The water tightness detection device comprises a water immersion sensor. When performing water tightness detection, the water immersion sensor is installed at the bottom of the cabin of the racing boat, and the water immersion sensor is connected to the data processing device.

8. The rowing defect detection system according to claim 1, characterized in that: The ultrasonic flaw detector includes a pulse generator, a probe and a control processing unit; the pulse generator is used to generate a pulse signal; the probe is used to convert the pulse signal into an ultrasonic signal, then transmit the ultrasonic signal into the cabin of the racing boat, and receive a reflected wave signal returned from the racing boat; the control processing unit is used to determine whether there are defects in the cabin of the racing boat based on the reflected wave signal.

9. The rowing defect detection system according to claim 1, characterized in that: Also included is a conveying mechanism for moving the racing boat into the water tank.

10. The racing boat defect detection system according to claim 1, characterized in that: It also includes a user terminal connected to the data processing device, and the user terminal is used to interact with an operator and display the detection process and results.

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