Laser anti-interference detection system for bearing outer ring

Abstract

The invention relates to the technical field of bearing detection, in particular to a bearing outer ring laser anti-interference detection system which comprises a multi-mode laser cooperative scanning module, a data processing and analyzing module, a signal enhancement processing module, a self-adaptive anti-interference module and a data interaction management module. The femtosecond laser realizes high-precision micro-area analysis and predicts potential hazards by virtue of ultrashort pulse characteristics, the terahertz laser can detect internal non-metallic inclusion defects, single or multiple laser sources can be flexibly selected for cooperative work through an optical switching and beam combining device, various defects of the bearing outer ring from surface microcosmic area to internal area can be comprehensively detected, and meanwhile, the detection accuracy is improved. The scanning part adopts an intelligent sectional scanning strategy, combines a high-precision rotary table and a linear sliding rail, and encrypts and scans key areas according to the structural characteristics of the bearing outer ring, so that the detection precision is ensured, diversified detection requirements of different types of bearing outer rings can be met, and the bearing production quality control is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of bearing detection, and particularly relates to a laser anti-interference detection system for the outer ring of a bearing. Background Art

[0002] In the booming field of modern manufacturing today, bearings undoubtedly play an important role as key components in various mechanical equipment. Their quality is like a cornerstone, profoundly and comprehensively affecting the overall performance, operation reliability, and long-term service life of the equipment. In the complex operation system of mechanical equipment, the outer ring of the bearing is subjected to various effects such as alternating loads, frictional forces, and environmental factors, and is extremely prone to various defects. Once these defects are not timely and accurately identified and processed, it is very likely to cause equipment failures and even serious production accidents, bringing huge economic losses to enterprises and affecting production efficiency and market competitiveness.

[0003] Early detection methods mostly relied on manual visual inspection. This method is not only inefficient but also greatly affected by human factors. Its detection ability for micro-defects and internal defects is extremely limited, prone to missed detections and misjudgments, and unable to ensure the stability of product quality. With the development of technology, some detection systems began to adopt single laser detection technology, such as only using semiconductor lasers for surface defect detection. Although it has made certain progress compared with manual detection, a single laser source cannot meet the various requirements of micro-defect analysis, potential hazard prediction, and internal non-metallic inclusion defect detection. For example, for the detection of micro-fine defects on the bearing surface and future potential hazards, due to its own characteristics, semiconductor lasers are difficult to provide high-precision micro-area analysis; and for the possible non-metallic inclusion defects inside the bearing, they are even more powerless. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a laser anti-interference detection system for the outer ring of a bearing, thereby solving the technical problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0006] A laser anti-interference detection system for the outer ring of a bearing includes a multi-mode laser collaborative scanning module, a data processing and analysis module, a signal enhancement and processing module, an adaptive anti-interference module, and a data interaction and management module. It is characterized in that the multi-mode laser collaborative scanning module: a semiconductor laser emitter detects the surface of the bearing, a femtosecond laser emitter, using its ultra-short pulse characteristics, conducts high-precision micro-area analysis on the surface of the outer ring of the bearing, and a terahertz laser emitter. Terahertz waves have unique penetration and recognition capabilities for non-metallic impurities and can detect possible non-metallic inclusion defects inside the outer ring of the bearing;

[0007] Data processing and analysis module: Identify the types, locations, and sizes of non-metallic inclusions defects inside the bearing, identify and analyze the internal problems of the bearing sidewall, and classify the detection results into excellent, good, poor, and defective. When the product detection result is greater than or equal to excellent and good, it can be used directly. When the product detection is less than good but greater than poor, simple rework is required. When the detection result of the product is less than poor and defective, the product cannot be used anymore;

[0008] Signal enhancement processing module: Improves the sensitivity of signal reception, and the quantum computing-assisted algorithm endows the system with powerful signal processing capabilities, enabling it to process a large amount of data in an extremely short time, accurately identify defects, and the quantum encryption technology ensures data security, providing strong support for the credibility of the detection results;

[0009] Adaptive anti-interference module: Ensures that the detection process is not affected by interference, can dynamically adjust the anti-interference strategy according to real-time environmental changes, effectively cope with the complex and changeable industrial detection environment, and significantly improve the stability and reliability of the detection system;

[0010] Data interaction management module: Automatically generates optimization suggestions based on the detection results, such as the direction of production process adjustment, key points of quality control, etc., provides intelligent support for enterprise production decision-making, enables the defects of the bearing outer ring to be visually seen, and improves the efficiency of data viewing and analysis.

[0011] In a possible implementation, in the multi-mode laser collaborative scanning module, through the optical switching and beam combining device, single or multiple laser sources can be flexibly selected to work collaboratively according to the detection requirements. The scanning part adopts an intelligent segmented scanning strategy, combined with a high-precision turntable and a linear slide rail, and can encrypt the scanning of key areas according to the structural characteristics of the bearing outer ring.

[0012] In a possible implementation, in the data processing and analysis module, the detection efficiency and accuracy are improved. The multi-modal laser collaborative work realizes the comprehensive and accurate detection of the bearing outer ring from surface microstructures to internal defects. The intelligent segmented scanning strategy significantly improves the detection speed while ensuring the detection quality, and adapts to the diverse detection requirements of different types of bearing outer rings.

[0013] In a possible implementation, in the data processing and analysis module, first, for the environmental light noise that may be affected by semiconductor laser data acquisition, high-frequency noise in femtosecond laser data, and low-frequency electromagnetic interference noise in terahertz laser data, median filtering, wavelet filtering, notch filtering and other methods are respectively used for noise reduction processing.

[0014] In a possible implementation, in the data processing and analysis module, for the surface image data collected by the semiconductor laser, the scale-invariant feature transform algorithm is used to extract the key points and descriptors in the image, which are used to identify the features such as the shape and position of the surface macroscopic defects.

[0015] In a possible implementation, in the data processing and analysis module, the local binary pattern algorithm is simultaneously used to extract the texture features of the image to assist in judging the type of surface defects. The ultrashort pulse signal of the femtosecond laser contains rich time-frequency information. The short-time Fourier transform or wavelet transform is used to convert the time-domain signal into a time-frequency domain representation, and the variation of different frequency components with time is analyzed to extract the features related to the microscopic defects, such as the pulse signal distortion features caused by the defects. By analyzing the variation rules of these features, the potential future hazards of the bearing are predicted. The interaction between the terahertz laser and the non-metallic impurities will generate specific spectral features. The terahertz time-domain signal is converted into a frequency-domain spectrum by Fourier transform, and the amplitude, phase and other information at the characteristic frequencies are extracted.

[0016] In a possible implementation, in the signal enhancement processing module, the signal receiving end adopts a photodetector based on quantum dot technology. The quantum dots have extremely high absorption efficiency and response speed for lasers with specific wavelengths, which can greatly improve the detection sensitivity of weak signals. In the signal processing link, a quantum computing assisted algorithm is introduced. Using the parallel computing characteristics of quantum bits, a large number of complex signals collected are subjected to fast Fourier transform, wavelet analysis and other processing, which greatly shortens the processing time and improves the accuracy of defect feature extraction at the same time. The module also integrates a real-time quantum random number generator, which is used to encrypt the key parameters in the signal processing process to prevent the signal from being tampered with.

[0017] In a possible implementation, in the adaptive anti-interference module, the module consists of an environment perception sub-module, an interference analysis sub-module and an anti-interference execution sub-module. The environment perception sub-module monitors the interference source information of the surrounding environment in real time through various sensors arranged in the detection area, such as electromagnetic sensors, acoustic sensors, temperature and humidity sensors, etc. The interference analysis sub-module uses machine learning algorithms to analyze the perceived interference data to judge the type and intensity of the interference.

[0018] In a possible implementation, in the adaptive anti-interference module, the anti-interference execution sub-module automatically adjusts the parameters of the detection system, such as the laser emission frequency, the signal acquisition time window, the filtering algorithm, etc., according to the analysis results to adapt to different interference environments.

[0019] In a possible implementation, in the data interaction management module, data is transmitted to the display screen through Bluetooth and wireless network communication. Operators can perform natural interactions through gesture recognition and voice commands, such as rotating, zooming in, and zooming out the model, and querying detailed detection data for specific areas.

[0020] Beneficial effects compared with the prior art:

[0021] 1. In this solution, the multi-mode laser collaborative scanning module of the detection system integrates semiconductor, femtosecond, and terahertz laser emitters. The semiconductor laser is responsible for surface defect detection. The femtosecond laser realizes high-precision micro-area analysis and predicts potential hidden dangers with its ultra-short pulse characteristics. The terahertz laser can detect internal non-metallic inclusion defects. Through the optical switching and beam combining device, it can flexibly select single or multiple laser sources to work collaboratively, comprehensively covering various defect detections of the bearing outer ring from the surface microcosm to the interior. At the same time, the scanning part adopts an intelligent segmented scanning strategy, combined with a high-precision turntable and a linear slide rail, and encrypts the scanning of key areas according to the structural characteristics of the bearing outer ring. This design not only ensures the accuracy of detection but also significantly improves the detection speed, can adapt to the diverse detection needs of different types of bearing outer rings, and guarantees the quality control of bearing production from all-round and high-efficiency perspectives, providing a reliable detection basis for the subsequent production process;

[0022] 2. In this solution, the signal enhancement processing module uses a photodetector based on quantum dot technology, which has extremely high absorption efficiency and response speed for specific wavelength lasers, greatly improving the detection sensitivity of weak signals, so that even tiny defect signals can be accurately captured. In the signal processing link, a quantum computing assisted algorithm is introduced. Using the parallel computing characteristics of quantum bits, a large number of complex signals can be quickly processed by Fourier transform, wavelet analysis, etc., greatly shortening the processing time and improving the accuracy of defect feature extraction. In addition, an integrated real-time quantum random number generator is used to encrypt key parameters to prevent signals from being tampered with, ensuring the security and reliability of data. The application of this series of advanced technologies comprehensively guarantees the credibility of the detection results from signal reception, processing to data protection, provides high-precision data support for bearing quality assessment, and effectively avoids misjudgment caused by improper signal processing or data interference;

[0023] 3. In this solution, the data interaction management module transmits data to the display screen through Bluetooth and wireless network communication. Operators can use natural interaction methods such as gesture recognition and voice commands, such as rotating, zooming in, and zooming out the model, as well as querying detailed detection data of specific areas, to intuitively understand the defect situation of the bearing outer ring, greatly improving the efficiency of data viewing and analysis. More importantly, the module uses artificial intelligence algorithms to deeply mine historical detection data and automatically generates optimization suggestions such as the direction of production process adjustment and the key points of quality control based on the detection results. This not only helps operators obtain and understand detection information more conveniently, but also provides intelligent support for the enterprise's production decision-making, enabling the enterprise to carry out targeted production improvements based on big data analysis, optimize the production process, improve production efficiency, and thus enhance the enterprise's competitiveness in the market. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly and to be implemented in accordance with the content of the description, the following will describe in detail with reference to the preferred embodiments of the present invention and the accompanying drawings.

[0025] Figure 1 It is a schematic structural diagram of the 123 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention can be implemented in various different forms, so the present invention is not limited to the embodiments described below;

[0027] The technical solutions in the embodiments of the present application are to solve the problems in the above-mentioned background technology, and the general idea is as follows:

[0028] Embodiment:

[0029] Please refer to Figure 1 As shown, this embodiment introduces a laser anti-interference detection system for the bearing outer ring, including a multi-mode laser collaborative scanning module, a data processing and analysis module, a signal enhancement processing module, an adaptive anti-interference module, and a data interaction management module;

[0030] Multi-mode Laser Collaborative Scanning Module: A semiconductor laser emitter is used to detect surface defects of bearings. At the same time, a femtosecond laser emitter is added. Utilizing the ultrashort pulse characteristics of femtosecond lasers, high-precision micro-area analysis is carried out on the surface of the bearing outer ring to detect microscopic defects and predict potential future hazards of the bearings. Then, a terahertz laser emitter is equipped. Terahertz waves have unique penetration and recognition capabilities for non-metallic impurities, and can detect possible non-metallic inclusion defects inside the bearing outer ring. Through an optical switching and beam combining device, single or multiple laser sources can be flexibly selected to work collaboratively according to the detection requirements. The scanning part adopts an intelligent segmented scanning strategy, combined with a high-precision turntable and linear slide rail, which can densely scan key areas according to the structural characteristics of the bearing outer ring, improving the detection efficiency and accuracy. The multi-modal laser collaborative work realizes a comprehensive and accurate detection of the bearing outer ring from surface micro-defects to internal defects. The intelligent segmented scanning strategy significantly improves the detection speed while ensuring the detection quality, meeting the diverse detection requirements of different types of bearing outer rings.

[0031] Data Processing and Analysis Module: First, for the environmental light noise that the semiconductor laser acquisition data may be affected by, the high-frequency noise in the femtosecond laser data, and the low-frequency electromagnetic interference noise in the terahertz laser data, median filtering, wavelet filtering, and notch filtering methods are respectively used for noise reduction processing. Secondly, for the surface image data collected by the semiconductor laser, the Scale-Invariant Feature Transform (SIFT) algorithm is used to extract key points and descriptors in the image to identify the shape, position, and other characteristics of surface macroscopic defects; at the same time, the Local Binary Pattern (LBP) algorithm is used to extract the texture features of the image to assist in judging the type of surface defects. The ultrashort pulse signal of the femtosecond laser contains rich time-frequency information. The Short-Time Fourier Transform (STFT) or wavelet transform is used to convert the time-domain signal into a time-frequency domain representation, analyze the variation of different frequency components over time, and extract features related to microscopic defects, such as the pulse signal distortion features caused by defects. By analyzing the variation laws of these features, potential future hazards of the bearings are predicted. The interaction between the terahertz laser and non-metallic impurities will generate specific spectral features. The terahertz time-domain signal is converted into a frequency-domain spectrum through Fourier transform, and information such as the amplitude and phase at the characteristic frequencies is extracted to identify the type, position, and size of non-metallic inclusion defects inside the bearing, and to identify and analyze the internal problems of the bearing sidewall. The detection results are classified as excellent, good, poor, and defective. When the product detection result is greater than or equal to excellent and good, it can be directly used. When the product detection is less than good and greater than poor, simple rework processing is required. When the detection result of the product is less than poor and defective, the product cannot be used anymore.

[0032] Signal Enhancement Processing Module: The signal receiving end adopts a photodetector based on quantum dot technology. Quantum dots have extremely high absorption efficiency and response speed for specific wavelength lasers, which can greatly improve the detection sensitivity of weak signals. In the signal processing link, a quantum computing assisted algorithm is introduced. Utilizing the parallel computing characteristics of qubits, it performs fast Fourier transform, wavelet analysis, etc. on a large number of complex signals collected, greatly shortening the processing time and improving the accuracy of defect feature extraction. In addition, the module integrates a real-time quantum random number generator, which is used to encrypt the key parameters during the signal processing process to prevent signals from being tampered with and ensure the security and reliability of data. Quantum dot technology improves the sensitivity of signal reception, while the quantum computing assisted algorithm endows the system with powerful signal processing capabilities, enabling it to process massive amounts of data in an extremely short time and accurately identify defects. Quantum encryption technology guarantees the security of data and provides a solid support for the credibility of detection results.

[0033] Adaptive Anti-interference Module: This module consists of an environmental perception sub-module, an interference analysis sub-module, and an anti-interference execution sub-module. The environmental perception sub-module monitors the interference source information of the surrounding environment in real time through various sensors arranged in the detection area, such as electromagnetic sensors, acoustic sensors, temperature and humidity sensors, etc. The interference analysis sub-module uses machine learning algorithms to analyze the perceived interference data and determine the type of interference (such as electromagnetic interference, noise interference, temperature fluctuation interference, etc.) and its intensity. The anti-interference execution sub-module automatically adjusts the parameters of the detection system, such as laser emission frequency, signal acquisition time window, filtering algorithm, etc., according to the analysis results to adapt to different interference environments and ensure that the detection process is not affected by interference. It can dynamically adjust the anti-interference strategy according to real-time environmental changes, effectively cope with the complex and changeable industrial detection environment, and significantly improve the stability and reliability of the detection system.

[0034] Data Interaction Management Module: It transmits data to the display screen through Bluetooth and wireless network communication. Operators can perform natural interactions through gesture recognition and voice commands, such as rotating, zooming in and out of the model, and querying detailed detection data in specific areas. At the same time, the module uses artificial intelligence algorithms to deeply mine historical detection data and automatically generates optimization suggestions according to the detection results, such as the direction of production process adjustment and the key points of quality control, etc., providing intelligent support for enterprise production decision-making. One can visually see the defects on the outer ring of the bearing and improve the efficiency of data viewing and analysis.

[0035] Finally, it should be noted that: Obviously, the above embodiments are merely examples given to clearly illustrate the present invention, rather than limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation manners here. And the obvious changes or modifications derived therefrom still fall within the protection scope of the present invention.

Claims

1. A laser anti-interference detection system for a bearing outer ring, comprising a multi-mode laser collaborative scanning module, a data processing and analysis module, a signal enhancement processing module, an adaptive anti-interference module, and a data interaction management module, characterized in that, Multi-mode Laser Collaborative Scanning Module: The semiconductor laser emitter is used to detect surface defects of bearings. The femtosecond laser emitter utilizes the ultra-short pulse characteristics of femtosecond lasers to perform high-precision micro-area analysis on the surface of the bearing outer ring. The terahertz laser emitter has unique penetration and recognition capabilities for non-metallic impurities, and can detect possible non-metallic inclusion defects inside the bearing outer ring; Data Processing and Analysis Module: Identify the types, locations, and sizes of non-metallic inclusion defects inside the bearings, identify and analyze internal problems on the bearing side walls, and classify the detection results into excellent, good, poor, and defective. When the product detection results are greater than or equal to excellent and good, it can be used directly. When the product detection is less than good but greater than poor, simple rework is required. When the detection results of the product are less than poor and defective, the product can no longer be used; Signal Enhancement and Processing Module: Improves the sensitivity of signal reception. The quantum computing-assisted algorithm endows the system with powerful signal processing capabilities, enabling it to process massive amounts of data in an extremely short time and accurately identify defects. Quantum encryption technology ensures data security and provides strong support for the credibility of detection results; Adaptive Anti-interference Module: Ensures that the detection process is not affected by interference, can dynamically adjust anti-interference strategies according to real-time environmental changes, effectively cope with complex and changing industrial detection environments, and significantly improve the stability and reliability of the detection system; Data Interaction and Management Module: Automatically generates optimization suggestions based on detection results, such as directions for production process adjustment and key points for quality control, provides intelligent support for enterprise production decisions, enables intuitive viewing of defects on the bearing outer ring, and improves the efficiency of data viewing and analysis.

2. The laser anti-interference detection system for the outer ring of a bearing according to claim 1, wherein, In the multi-mode laser collaborative scanning module, through the optical switching and beam combining device, single or multiple laser sources can be flexibly selected to work collaboratively according to detection requirements. The scanning part adopts an intelligent segmented scanning strategy, combined with a high-precision turntable and linear slide rail, and can perform encrypted scanning on key areas according to the structural characteristics of the bearing outer ring.

3. A laser anti-interference detection system for a bearing outer ring according to claim 1, characterized in that In the data processing and analysis module, to improve detection efficiency and accuracy, the multi-modal laser collaborative work realizes comprehensive and precise detection of the bearing outer ring from surface microstructures to internal defects. The intelligent segmented scanning strategy significantly improves the detection speed while ensuring detection quality, meeting the diverse detection requirements of different types of bearing outer rings.

4. A laser anti-interference detection system for a bearing outer ring according to claim 3, characterized in that, In the data processing and analysis module, first, for the environmental light noise that may be present in the data collected by the semiconductor laser, the high-frequency noise in the femtosecond laser data, and the low-frequency electromagnetic interference noise in the terahertz laser data, median filtering, wavelet filtering, and notch filtering methods are respectively used for noise reduction processing.

5. The laser anti-interference detection system for a bearing outer ring according to claim 4, characterized in that, In the data processing and analysis module, for the surface image data collected by the semiconductor laser, the scale-invariant feature transform algorithm is used to extract key points and descriptors in the image for identifying features such as the shape and location of surface macroscopic defects.

6. The laser anti-interference detection system for a bearing outer ring according to claim 5, characterized in that, In the data processing and analysis module, the local binary pattern algorithm is used to extract the texture features of the image to assist in judging the surface defect type. The ultrashort pulse signal of the femtosecond laser contains rich time-frequency information. The short-time Fourier transform or wavelet transform is used to convert the time-domain signal into a time-frequency domain representation, analyze the variation of different frequency components over time, and extract features related to microscopic defects, such as the pulse signal distortion features caused by defects. By analyzing the variation laws of these features, potential future hazards of the bearing are predicted. The interaction between the terahertz laser and non-metallic impurities will generate specific spectral features. The terahertz time-domain signal is converted into a frequency-domain spectrum by Fourier transform, and information such as the amplitude and phase at the characteristic frequencies is extracted.

7. The laser anti-interference detection system for a bearing outer ring according to claim 1, wherein In the signal enhancement processing module, a photodetector based on quantum dot technology is used at the signal receiving end. Quantum dots have extremely high absorption efficiency and response speed for lasers of specific wavelengths, which can greatly improve the detection sensitivity of weak signals. In the signal processing link, a quantum computing assisted algorithm is introduced. Using the parallel computing characteristics of quantum bits, fast Fourier transform, wavelet analysis, etc. are performed on a large number of complex signals collected, greatly shortening the processing time and improving the accuracy of defect feature extraction at the same time. The module also integrates a real-time quantum random number generator to encrypt the key parameters in the signal processing process to prevent the signal from being tampered with.

8. The laser anti-interference detection system for a bearing outer ring according to claim 1, wherein, In the adaptive anti-interference module, the module consists of an environmental perception sub-module, an interference analysis sub-module, and an anti-interference execution sub-module. The environmental perception sub-module uses various sensors arranged in the detection area, such as electromagnetic sensors, acoustic sensors, temperature and humidity sensors, etc., to monitor the interference source information of the surrounding environment in real time. The interference analysis sub-module uses machine learning algorithms to analyze the perceived interference data and judge the interference type and its intensity.

9. The laser anti-interference detection system for a bearing outer ring according to claim 8, characterized in that, In the adaptive anti-interference module, the anti-interference execution sub-module automatically adjusts the parameters of the detection system, such as the laser emission frequency, signal acquisition time window, filtering algorithm, etc., to adapt to different interference environments according to the analysis results.

10. A laser anti-interference detection system for a bearing outer ring according to claim 1, characterized in that, In the data interaction management module, the data is transmitted to the display screen through Bluetooth and wireless network communication. The operator can perform natural interactions through gesture recognition and voice commands, such as rotating, zooming in, and zooming out the model, and querying the detailed detection data of a specific area.

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