Titanium oxide fiber material defect detection system and method

Abstract

The invention discloses a titanium oxide fiber material defect detection system and method, and relates to the technical field of material defect detection.The titanium oxide fiber material defect detection system comprises a multi-dimensional scanning module, a resolution imaging module, a data integration analysis module and a user interaction interface module.The detection precision and efficiency of internal and surface defects of a titanium oxide fiber material are improved, and the detection efficiency is improved. The method ensures that potential defect areas are fully covered, avoids the problem of detection blind areas in a traditional method, optimizes imaging quality under different light conditions, reduces signal distortion, realizes deep insight of material health conditions, greatly simplifies operation procedures, improves user experience, and in conclusion, the method has the advantages of being high in practicability and easy to popularize. The invention provides a solution which is efficient, accurate and easy to use, and provides powerful support for quality control of the high-end manufacturing industry.

Description

Technical Field

[0001] The invention relates to the technical field of material defect detection, and in particular to a titanium oxide fiber material defect detection system and method. Background Art

[0002] At present, although the existing material testing and analysis technologies can provide some basic information about titanium dioxide fiber materials to a certain extent, they are still insufficient in detecting small or hidden defects. For example, some traditional detection methods may not be able to accurately distinguish between slight damage to the material surface and internal structural defects, which may lead to deviations in the evaluation of the actual performance of the material. In addition, some detection technologies based on optical principles may have signal distortion or detection blind spots when facing titanium dioxide fiber products with complex shapes or irregular surfaces, thereby affecting the accuracy of the final detection results. Although these problems seem insignificant, they are challenges that cannot be ignored for the high-end manufacturing industry that pursues ultimate safety and reliability. Summary of the invention

[0003] In view of the problems existing in the existing titanium dioxide fiber material defect detection system and method, the present invention is proposed.

[0004] Therefore, in order to address the signal distortion and detection blind spot problems existing in the prior art when detecting tiny defects under the irregular surface of titanium oxide fiber materials, the present invention adopts surround scanning technology and an environmental adaptive optical enhancement system, combined with an intelligent data fusion engine and a virtual reality interactive interface, to achieve accurate identification and comprehensive analysis of surface and internal defects of materials.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, an embodiment of the present invention provides an oxygen titanium fiber material defect detection system, which includes a multi-dimensional scanning module, which uses a surround scanning technology to adapt to oxygen titanium fiber materials with different oxygen titanium fiber material properties; High-resolution imaging module, which introduces environmental adaptive optical enhancement technology to analyze and optimize light conditions. By combining super-resolution microscopy technology and nanoscale filters, it can process the structural changes of oxygen-titanium fiber materials under different environmental adaptation conditions. Data integration and analysis module, designing intelligent data fusion engine to integrate data from multi-dimensional scanning module and resolution imaging module. By introducing feature mapping technology, the intelligent data fusion engine establishes corresponding relationships between data from different sources; The user interaction interface module adopts a visual navigation function combined with virtual reality technology, allowing the user to view the scanning process and scanning results, and complete the parameter setting and task scheduling of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. It is used for users to observe the defects of the titanium oxide fiber material through a three-dimensional view, mark the defects, and complete the detection of defects in the titanium oxide fiber material.

[0006] As a preferred solution of the titanium oxide fiber material defect detection system of the present invention, wherein: the multi-dimensional scanning module includes an adjustment unit and a scanning unit; The adjustment unit includes adjusting the scanning depth according to the appearance and structural characteristics of the titanium oxide fiber material, capturing different levels of information on the surface of the titanium oxide fiber material and inside the titanium oxide fiber material, and distinguishing the surface damage of the titanium oxide fiber material from the internal structural defects of the titanium oxide fiber material according to the adjustment mechanism of the different levels of information; The scanning unit includes a 360° scan for the surface of the titanium oxide fiber material, which is used to detect defects under the irregular surface of the titanium oxide fiber material.

[0007] As a preferred solution of the titanium oxide fiber material defect detection system of the present invention, wherein: the resolution imaging module includes an image optimization unit and a dynamic range expansion unit; The image optimization unit includes optimizing the optical path design to obtain the image state and reduce the detection blind area for the defects of the titanium oxide fiber material under the irregular surface; The dynamic range extension unit is used to provide contrast imaging effects under different light conditions.

[0008] As a preferred solution of the titanium oxide fiber material defect detection system of the present invention, wherein: the data integration and analysis module includes a data collection unit and a comprehensive analysis unit; The data collection unit includes a unit for collecting data of the multi-dimensional scanning module and the resolution imaging module from the multi-dimensional scanning module and the resolution imaging module, and storing the data in a centralized manner; The comprehensive analysis unit includes integrating and analyzing the captured different levels of information on the surface and inside of the oxygen-titanium fiber material, combining the data from the multi-dimensional scanning module and the resolution imaging module, completing the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module, identifying defects and generating detailed reports, generating task scheduling, and completing task scheduling through gesture control or voice commands.

[0009] As a preferred solution of the titanium oxide fiber material defect detection system of the present invention, wherein: the user interaction interface module includes a parameter setting unit and a progress report review unit; The parameter setting unit includes a user-defined scanning parameter as the basis for completing the integrated analysis of the data of the multi-dimensional scanning module and the resolution imaging module; The progress report review unit includes reviewing the defect analysis report according to the provided customized scanning parameters.

[0010] As a preferred solution of the titanium oxide fiber material defect detection system of the present invention, wherein: the design intelligent data fusion engine includes a data integration unit and feature mapping technology; The data integration unit includes a unit for receiving and collating data from the multi-dimensional scanning module and the resolution imaging module; The feature mapping technology includes identifying and marking the features of the data of each multi-dimensional scanning module and the resolution imaging module, associating the features of the marked data of each multi-dimensional scanning module and the resolution imaging module, and extracting the associated features.

[0011] As a preferred solution of the titanium oxide fiber material defect detection system of the present invention, the receiving and collating of data from the multi-dimensional scanning module and the resolution imaging module includes adopting a synchronous data acquisition mechanism, so that data from different sources can be integrated on the same time basis; The extraction of the associated features includes establishing a corresponding relationship between data from different sources of the intelligent data fusion engine through feature mapping technology, identifying and marking the features of the data from each multi-dimensional scanning module and the resolution imaging module, completing the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands, observing the surface damage of the oxygen-titanium fiber material and the internal structural defects of the oxygen-titanium fiber material through a three-dimensional view, marking the defects, and completing the detection of defects in the oxygen-titanium fiber material.

[0012] In a second aspect, an embodiment of the present invention provides a method for detecting defects in titanium oxide fiber materials, which comprises: Adopting surround scanning technology, it is used to adapt to the characteristics of different titanium oxide fiber materials; Introducing environmental adaptive optics enhancement technology to analyze and optimize light conditions, and combining super-resolution microscopy technology and nanoscale filters to process the structural changes of oxygen-titanium fiber materials under different environmental adaptation conditions; Design an intelligent data fusion engine to integrate data from the multi-dimensional scanning module and the resolution imaging module. By introducing feature mapping technology, the intelligent data fusion engine establishes a corresponding relationship between data from different sources; The visual navigation function is combined with virtual reality technology to allow users to view the scanning process and scanning results, and complete the parameter setting and task scheduling of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. It is used for users to observe the defects of the titanium oxide fiber material through a three-dimensional view, mark the defects, and complete the detection of the defects of the titanium oxide fiber material; Designing an intelligent data fusion engine including a data integration unit and feature mapping technology to receive and organize data from the multi-dimensional scanning module and the resolution imaging module; By identifying the features of the data of each multi-dimensional scanning module and the resolution imaging module, the features of the data of each multi-dimensional scanning module and the resolution imaging module are associated, and the associated features are extracted; Using a synchronous data collection mechanism, data from different sources can be integrated on the same time basis; The intelligent data fusion engine establishes a corresponding relationship between data from different sources through feature mapping technology, and completes the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module through identification and marking of the features of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. The surface damage of the oxygen-titanium fiber material and the internal structural defects of the oxygen-titanium fiber material are observed through a three-dimensional view, and the defects are marked to complete the detection of defects in the oxygen-titanium fiber material.

[0013] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned titanium oxide fiber material defect detection system is implemented.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned titanium oxide fiber material defect detection system is implemented.

[0015] The beneficial effects of the present invention are as follows: the present invention significantly improves the detection accuracy and efficiency of internal and surface defects of titanium dioxide fiber materials by integrating surround scanning technology, environmental adaptive optical enhancement system, intelligent data fusion engine and virtual reality interactive interface; the surround 360° scanning unit can adapt to complex shapes and irregular surfaces, ensuring comprehensive coverage of potential defect areas and avoiding the detection blind spot problem in traditional methods; the environmental adaptive optical enhancement technology is combined with super-resolution microscopes and nanoscale filters to optimize the imaging quality under different lighting conditions and reduce signal distortion; the intelligent data fusion engine establishes precise correspondence between multi-source data through feature mapping technology, achieving in-depth insight into the health status of materials; the user interactive interface adopts intuitive three-dimensional views and gesture control or voice commands, which greatly simplifies the operation process and improves the user experience; in summary, the present invention provides an efficient, accurate and easy-to-use solution, which provides strong support for quality control in high-end manufacturing. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them: Figure 1 The present invention is a system-specific flow chart of a titanium oxide fiber material defect detection system and method.

[0017] Figure 2 The present invention is a specific flow chart of a system and method for detecting defects in titanium dioxide fiber materials. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0019] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0020] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0021] The present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0022] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0023] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] Example 1 Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a titanium oxide fiber material defect detection system, comprising: S1: Multi-dimensional scanning module, using surround scanning technology, used to adapt to the characteristics of different titanium oxide fiber materials.

[0025] Among them, the multi-dimensional scanning module includes an adjustment unit and a scanning unit.

[0026] The adjustment unit includes adjusting the scanning depth according to the appearance and structural characteristics of the oxygen-titanium fiber material, capturing different levels of information on the surface and inside the oxygen-titanium fiber material, and distinguishing the surface damage of the oxygen-titanium fiber material from the internal structural defects of the oxygen-titanium fiber material according to the adjustment mechanism of different levels of information.

[0027] The adjustment unit allows the scanning depth to be adjusted according to the thickness and structural characteristics of the titanium oxide fiber sample, ensuring that different levels of surface and internal information can be accurately captured. Through this adjustable mechanism, surface damage and internal structural defects can be effectively distinguished.

[0028] The scanning unit includes a 360° scan for the surface of the titanium dioxide fiber material, which is used to detect defects under the irregular surface of the titanium dioxide fiber material.

[0029] The scanning unit is responsible for scanning the sample 360 ​​degrees without blind spots, ensuring that even tiny defects hidden under complex shapes or irregular surfaces can be discovered. Its design takes into account various possible geometric forms to meet the needs of different types of titanium oxide fiber products.

[0030] The irregular surface mentioned in the scanning unit mainly refers to the various complex geometric forms that may appear in the manufacturing and application process of the titanium oxide fiber material. These irregularities include but are not limited to: changes in surface roughness, local protrusions or depressions, fine cracks, misalignment in the stacked structure, and changes in surface texture due to processing technology. In addition, the titanium oxide fiber material may be made into products with complex shapes, such as curved pipes, aviation parts with fine contours, or products with highly customized designs, which will cause surface irregularities. For these situations, the 360° all-round scanning technology can ensure that even in the most difficult-to-reach corners or areas with extremely complex surface conditions, the titanium oxide fiber material can be thoroughly inspected to find any potential defects, whether it is slight damage to the surface or tiny cracks inside, which can be accurately identified. This comprehensive coverage capability is critical to ensuring the safety and reliability of the material.

[0031] Furthermore, an innovative surround scanning technology is adopted, which can automatically adapt to the titanium oxide fiber materials with different appearances and structural characteristics. By integrating a multi-wavelength laser source and an acoustic wave feedback system, it can achieve all-round and multi-level scanning from the surface to the inside. It can also dynamically adjust the scanning strategy according to the material response to ensure that every tiny defect is not missed. The surround 360-degree scanning array further enhances the adaptability to complex shapes or irregular surfaces, achieving true blind-angle scanning.

[0032] Furthermore, according to the regulation mechanism of different levels of information, the surface damage of the titanium oxide fiber material and the internal structural defects of the titanium oxide fiber material are distinguished. Here, the scores of the surface damage of the titanium oxide fiber material and the internal structural defects of the titanium oxide fiber material are defined as and ; Among them, the rating The calculation formula is:

[0033] in, and The image width and height respectively represent the appearance of the titanium oxide fiber material. represents the weight function, Represents the grayscale value of the surface of the titanium oxide fiber material that is not damaged in the same area. Represents the surface damage score of titanium oxide fiber material, Indicates the surface damage pixels of the current titanium oxide fiber material, and the final score The higher it is, the more serious the defect in the surface damage area is.

[0034] in, The calculation formula is:

[0035] in, Indicates the internal structural defect score of titanium dioxide fiber material. The weight function representing the internal structure of the titanium oxide fiber material, Indicates the standard signal strength of the internal structure of the same material at the same depth. The signal strength at the depth representing the internal structure of the current material, Indicates the maximum depth of internal structure detection of titanium oxide fiber material, and the final score The higher it is, the more serious the internal structural defects are in that area.

[0036] S2: Resolution imaging module, which introduces environmental adaptive optics enhancement technology to analyze and optimize light conditions. It combines super-resolution microscopy technology and nanoscale filters to process the structural changes of oxygen-titanium fiber materials under different environmental adaptation conditions.

[0037] Among them, the resolution imaging module includes an image optimization unit and a dynamic range extension unit.

[0038] The image optimization unit includes optimizing the optical path design to obtain image status and reduce detection blind areas for defects of titanium dioxide fiber materials under irregular surfaces.

[0039] The image optimization unit focuses on improving imaging quality, especially for titanium dioxide fiber products with complex shapes or irregular surfaces. By optimizing the optical path design and enhancing the stability of the light source, the acquired image is ensured to be clear and undistorted, thereby reducing signal distortion and detection blind spots.

[0040] The dynamic range extension unit is included to provide contrast imaging effects for the system under different lighting conditions.

[0041] The dynamic range extension unit enables the system to work under extreme brightness conditions and provide high-contrast imaging. This step ensures that even in poor lighting conditions, subtle changes can be captured, further improving the accuracy of detection results.

[0042] Furthermore, this module introduces environmental adaptive optics enhancement technology, which can analyze and optimize light conditions in real time to obtain the best imaging effect. By combining super-resolution microscopy technology and nanoscale filters, it can capture extremely subtle structural changes even in low-light environments. In addition, it uses advanced multiple exposure synthesis technology to ensure that the image remains clear under high-contrast conditions, greatly reducing signal distortion and detection blind spots, and providing a high-quality data foundation for subsequent analysis.

[0043] S3: Data integration and analysis module, designs an intelligent data fusion engine to integrate data from the multi-dimensional scanning module and the resolution imaging module. By introducing feature mapping technology, the intelligent data fusion engine establishes a corresponding relationship between data from different sources.

[0044] Among them, the data integration and analysis module includes a data collection unit and a comprehensive analysis unit.

[0045] The data collection unit includes a unit for collecting data of the multi-dimensional scanning module and the resolution imaging module from the multi-dimensional scanning module and the resolution imaging module, and storing the data in a centralized manner.

[0046] The comprehensive analysis unit includes integrating and analyzing the captured different levels of information on the surface and inside of the oxygen-titanium fiber material with the data from the multi-dimensional scanning module and the resolution imaging module, completing the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module, identifying defects and generating detailed reports, generating task scheduling, and completing task scheduling through gesture control or voice commands.

[0047] Furthermore, the data integration and analysis module is equipped with an innovative intelligent data fusion engine that can seamlessly integrate data from the multi-dimensional scanning module and the resolution imaging module. By introducing a feature mapping technology, the engine can establish an accurate correspondence between data from different sources to ensure that every detail can be accurately identified and associated. This technology not only improves the accuracy of defect detection, but also provides deep insights into the overall health of the material.

[0048] In order to further enhance the flexibility and efficiency of the system, the Data Integration and Analysis Center also adopts an adaptive data optimization mechanism, which can dynamically adjust the processing flow according to the characteristics of the data to achieve the best data processing effect. Whether it is a large-scale data set or complex structural information, it can be managed and analyzed in an efficient manner.

[0049] In addition, data compression and distributed storage solutions are applied in the system, which makes large-scale data analysis more efficient while ensuring the security and integrity of the data. By distributing data across multiple nodes and using efficient compression technology to reduce storage requirements, it not only speeds up data access, but also enhances data reliability and security.

[0050] S4: User interaction interface module, which uses visual navigation function and combines virtual reality technology to allow users to view the scanning process and scanning results, and complete parameter setting and task scheduling of data from the multi-dimensional scanning module and resolution imaging module through gesture control or voice commands. It is used for users to observe the defects of the titanium oxide fiber material through a three-dimensional view, mark the defects, and complete the detection of defects in the titanium oxide fiber material.

[0051] Among them, the user interaction interface module includes a parameter setting unit and a progress report review unit.

[0052] The parameter setting unit includes scanning parameters customized by the user as a basis for completing the integrated analysis of the data of the multi-dimensional scanning module and the resolution imaging module.

[0053] The progress report review unit includes reviewing the defect analysis report based on the provided customized scanning parameters.

[0054] Furthermore, the user interaction interface module adopts an intuitive visual navigation function, combined with virtual reality technology, allowing users to view the scanning process and results in an immersive way. Users can easily complete complex parameter settings and task scheduling through simple gesture control or voice commands. The real-time three-dimensional view and defect marking functions enable users to directly observe the specific situation inside the material, greatly improving user experience and work efficiency. In addition, the personalized recommendation system provides customized setting suggestions based on the user's operating habits and historical records, further simplifying the operation process.

[0055] Going a step further, gesture control: With 3D gesture recognition, users can directly operate scanning and imaging parameters through simple gestures in a virtual reality environment. For example, they can adjust the scanning depth by sliding their fingers, rotate their palms to change the viewing angle to view the material structure at different angles, or click on specific areas with their fingers to mark defects. This natural interaction method allows users to efficiently complete complex parameter settings without touching physical devices.

[0056] Gesture presets and quick operations: The system supports custom gesture commands, allowing users to set specific gestures to correspond to different operations according to their personal habits. For example, making a fist can start or pause the scanning process, and pinching with two fingers can zoom in or out the view. These presets not only improve operational efficiency, but also enhance the user experience.

[0057] Voice Commands: Natural language processing allows users to quickly set scanning parameters or perform task scheduling through simple voice commands. For example, commands such as starting a 360-degree scan, increasing exposure time, and saving the current view can be accurately recognized and executed immediately by the system. In addition, the system can understand more complex statements, such as comparing the current scan results with the previous results, thus providing more flexible operation options.

[0058] Intelligent feedback mechanism: In order to ensure that voice commands are correctly understood and executed, the system has designed a real-time feedback mechanism. After receiving the user's voice command, the system will confirm the received command through voice prompts and display the corresponding operation status on the interface. If there is ambiguity or error, the system will ask the user to clarify or re-enter the command.

[0059] S3.1: Design an intelligent data fusion engine including data integration unit and feature mapping technology.

[0060] The data integration unit includes a module for receiving and collating data from the multi-dimensional scanning module and the resolution imaging module.

[0061] The feature mapping technology includes identifying and marking the features of the data of each multi-dimensional scanning module and the resolution imaging module, associating the features of the marked data of each multi-dimensional scanning module and the resolution imaging module, and extracting the associated features.

[0062] Receiving and collating data from the multi-dimensional scanning module and the resolution imaging module includes adopting a synchronous data acquisition mechanism so that data from different sources can be integrated on the same time basis.

[0063] S3.2: Extracting the associated features includes establishing a corresponding relationship between data from different sources of the intelligent data fusion engine through feature mapping technology, identifying and marking the features of the data from each multi-dimensional scanning module and the resolution imaging module, completing the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands, observing the surface damage of the oxygen-titanium fiber material and the internal structural defects of the oxygen-titanium fiber material through a three-dimensional view, marking the defects, and completing the detection of defects in the oxygen-titanium fiber material.

[0064] In a preferred embodiment, a method for detecting defects in titanium oxide fiber materials includes using a surround scanning technique to adapt to titanium oxide fiber materials with different properties.

[0065] Environmental adaptive optics enhancement technology is introduced to analyze and optimize light conditions. By combining super-resolution microscopy technology and nanoscale filters, the structural changes of oxygen-titanium fiber materials under different environmental adaptation conditions are processed.

[0066] An intelligent data fusion engine is designed to integrate data from the multi-dimensional scanning module and the resolution imaging module. By introducing feature mapping technology, the intelligent data fusion engine establishes a corresponding relationship between data from different sources.

[0067] The visual navigation function is combined with virtual reality technology to allow users to view the scanning process and scanning results, and complete the parameter setting and task scheduling of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. It is used for users to observe the defects of the titanium oxide fiber material through a three-dimensional view, mark the defects, and complete the detection of defects in the titanium oxide fiber material.

[0068] The intelligent data fusion engine is designed to include a data integration unit and feature mapping technology, which is used to receive and organize data from the multi-dimensional scanning module and the resolution imaging module.

[0069] By identifying the features of the data of each multi-dimensional scanning module and the resolution imaging module, the features of the data of each multi-dimensional scanning module and the resolution imaging module that are marked are associated, and the associated features are extracted.

[0070] By adopting a synchronous data collection mechanism, data from different sources can be integrated on the same time basis.

[0071] The intelligent data fusion engine establishes a corresponding relationship between data from different sources through feature mapping technology, and completes the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module through identification and marking of the features of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. The surface damage of the oxygen-titanium fiber material and the internal structural defects of the oxygen-titanium fiber material are observed through a three-dimensional view, and the defects are marked to complete the detection of defects in the oxygen-titanium fiber material.

[0072] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0073] In summary, the present invention significantly improves the detection accuracy and efficiency of internal and surface defects of titanium dioxide fiber materials by integrating surround scanning technology, environmental adaptive optical enhancement system, intelligent data fusion engine and virtual reality interactive interface. The surround 360° scanning unit can adapt to complex shapes and irregular surfaces, ensuring comprehensive coverage of potential defect areas and avoiding the detection blind spot problem in traditional methods. Environmental adaptive optical enhancement technology combines super-resolution microscopes and nanoscale filters to optimize imaging quality under different lighting conditions and reduce signal distortion. The intelligent data fusion engine establishes precise correspondence between multi-source data through feature mapping technology, achieving in-depth insight into the health status of materials. The user interactive interface adopts intuitive three-dimensional views and gesture control or voice commands, which greatly simplifies the operation process and improves user experience. In summary, the present invention provides an efficient, accurate and easy-to-use solution, which provides strong support for quality control in high-end manufacturing.

[0074] Example 2 Reference Figure 1 and Figure 2 , which is the second embodiment of the present invention, and this embodiment provides an oxygen titanium fiber material defect detection system. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0075] During the experiment, a multi-dimensional scanning module was first used to perform a 360-degree surround scan on a titanium oxide fiber sample with a complex shape and irregular surface. The adjustment unit automatically adjusted the scanning depth according to the thickness and structural characteristics of the material, accurately captured information at different levels within the range of 0.1mm to 5mm, and successfully distinguished surface damage from internal defects. Then, the resolution imaging module optimized the imaging effect under different lighting conditions with an illumination range of 50lux to 5000lux through environmental adaptive optical enhancement technology. Combined with super-resolution microscopy technology and nano-level filters, it clearly displayed subtle structural changes as small as 0.5 microns in diameter. The data integration and analysis module then stored the collected data in a centralized manner, and used feature mapping technology to establish a precise correspondence between data from different sources, achieving a comprehensive assessment of the overall health of the material. Finally, the user observed all marked defect locations through the three-dimensional view function of the interactive interface module, where the minimum recognizable defect size was 2 microns, and completed the generation of a detailed defect report through gesture control or voice commands. The entire detection process took about 45 minutes, significantly improving the detection efficiency and accuracy. The comparison between the present invention and the prior art is shown in Table 1 below: Table 1 Comparison table between the present invention and the prior art

[0076] Table 1 shows the main advantages of the present invention over the prior art, especially in terms of improving detection accuracy, optimizing imaging quality, enhancing user experience and shortening detection time.

[0077] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A titanium oxide fiber material defect detection system, characterized in that: include, Multi-dimensional scanning module, using surround scanning technology, is used to adapt to the characteristics of different titanium fiber materials; High-resolution imaging module, which introduces environmental adaptive optical enhancement technology to analyze and optimize light conditions. By combining super-resolution microscopy technology and nanoscale filters, it can process the structural changes of oxygen-titanium fiber materials under different environmental adaptation conditions. Data integration and analysis module, designing intelligent data fusion engine to integrate data from multi-dimensional scanning module and resolution imaging module. By introducing feature mapping technology, the intelligent data fusion engine establishes corresponding relationships between data from different sources; The user interaction interface module adopts a visual navigation function combined with virtual reality technology, allowing the user to view the scanning process and scanning results, and complete the parameter setting and task scheduling of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. It is used for users to observe the defects of the titanium oxide fiber material through a three-dimensional view, mark the defects, and complete the detection of defects in the titanium oxide fiber material.

2. The titanium dioxide fiber material defect detection system according to claim 1, characterized in that: The multi-dimensional scanning module includes an adjustment unit and a scanning unit; The adjustment unit includes adjusting the scanning depth according to the appearance and structural characteristics of the titanium oxide fiber material, capturing different levels of information on the surface of the titanium oxide fiber material and inside the titanium oxide fiber material, and distinguishing the surface damage of the titanium oxide fiber material from the internal structural defects of the titanium oxide fiber material according to the adjustment mechanism of the different levels of information; The scanning unit includes a 360° scan for the surface of the titanium oxide fiber material, which is used to detect defects under the irregular surface of the titanium oxide fiber material.

3. The titanium dioxide fiber material defect detection system according to claim 2, characterized in that: The resolution imaging module includes an image optimization unit and a dynamic range extension unit; The image optimization unit includes optimizing the optical path design to obtain the image state and reduce the detection blind area for the defects of the titanium oxide fiber material under the irregular surface; The dynamic range extension unit is used to provide contrast imaging effects under different light conditions.

4. The titanium dioxide fiber material defect detection system according to claim 3, characterized in that: The data integration and analysis module includes a data collection unit and a comprehensive analysis unit; The data collection unit includes a unit for collecting data of the multi-dimensional scanning module and the resolution imaging module from the multi-dimensional scanning module and the resolution imaging module, and storing the data in a centralized manner; The comprehensive analysis unit includes integrating and analyzing the captured different levels of information on the surface and inside of the oxygen-titanium fiber material, combining the data from the multi-dimensional scanning module and the resolution imaging module, completing the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module, identifying defects and generating detailed reports, generating task scheduling, and completing task scheduling through gesture control or voice commands.

5. The titanium dioxide fiber material defect detection system according to claim 4, characterized in that: The user interaction interface module includes a parameter setting unit and a progress report review unit; The parameter setting unit includes a user-defined scanning parameter as the basis for completing the integrated analysis of the data of the multi-dimensional scanning module and the resolution imaging module; The progress report review unit includes reviewing the defect analysis report according to the provided customized scanning parameters.

6. The titanium dioxide fiber material defect detection system according to claim 1, characterized in that: The design intelligent data fusion engine includes a data integration unit and feature mapping technology; The data integration unit includes a unit for receiving and collating data from the multi-dimensional scanning module and the resolution imaging module; The feature mapping technology includes identifying and marking the features of the data of each multi-dimensional scanning module and the resolution imaging module, associating the features of the marked data of each multi-dimensional scanning module and the resolution imaging module, and extracting the associated features.

7. The titanium dioxide fiber material defect detection system according to claim 6, characterized in that: The receiving and collating of data from the multi-dimensional scanning module and the resolution imaging module includes adopting a synchronous data acquisition mechanism so that data from different sources can be integrated on the same time basis; The extraction of the associated features includes establishing a corresponding relationship between data from different sources of the intelligent data fusion engine through feature mapping technology, identifying and marking the features of the data from each multi-dimensional scanning module and the resolution imaging module, completing the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands, observing the surface damage of the oxygen-titanium fiber material and the internal structural defects of the oxygen-titanium fiber material through a three-dimensional view, marking the defects, and completing the detection of defects in the oxygen-titanium fiber material.

8. A method for detecting defects in titanium dioxide fiber materials, based on the titanium dioxide fiber material defect detection system according to any one of claims 1 to 7, characterized in that: include, Adopting surround scanning technology, it is used to adapt to the characteristics of different titanium oxide fiber materials; Introducing environmental adaptive optics enhancement technology to analyze and optimize light conditions, and combining super-resolution microscopy technology and nanoscale filters to process the structural changes of oxygen-titanium fiber materials under different environmental adaptation conditions; Design an intelligent data fusion engine to integrate data from the multi-dimensional scanning module and the resolution imaging module. By introducing feature mapping technology, the intelligent data fusion engine establishes a corresponding relationship between data from different sources; The visual navigation function is combined with virtual reality technology to allow users to view the scanning process and scanning results, and complete the parameter setting and task scheduling of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. It is used for users to observe the defects of the titanium oxide fiber material through a three-dimensional view, mark the defects, and complete the detection of the defects of the titanium oxide fiber material; Designing an intelligent data fusion engine including a data integration unit and feature mapping technology to receive and organize data from the multi-dimensional scanning module and the resolution imaging module; By identifying the features of the data of each multi-dimensional scanning module and the resolution imaging module, the features of the data of each multi-dimensional scanning module and the resolution imaging module are associated, and the associated features are extracted; Using a synchronous data collection mechanism, data from different sources can be integrated on the same time basis; The intelligent data fusion engine establishes a corresponding relationship between data from different sources through feature mapping technology, and completes the parameter setting of the data from the multi-dimensional scanning module and the resolution imaging module through identification and marking of the features of the data from the multi-dimensional scanning module and the resolution imaging module through gesture control or voice commands. The surface damage of the oxygen-titanium fiber material and the internal structural defects of the oxygen-titanium fiber material are observed through a three-dimensional view, and the defects are marked to complete the detection of defects in the oxygen-titanium fiber material.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the titanium oxide fiber material defect detection system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the titanium oxide fiber material defect detection system according to any one of claims 1 to 7 are implemented.

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