A composite optical fiber defect detection device and method

Abstract

This invention belongs to the field of optical fiber inspection technology, specifically relating to a composite optical fiber defect detection device and method. The composite optical fiber defect detection device includes: a light source module, an optical fiber rewinding module, an optical fiber cleaning module, a laser diameter measurement module, a defect detection module, a light leakage detection module, and a data analysis module. This device and method integrate three main functions: optical fiber surface defect detection imaging, optical fiber diameter consistency detection, and optical fiber light leakage defect detection, achieving composite functional detection and identification of defects such as cracks, damage, and abnormal diameter on the surface of the optical fiber coating.

Description

Technical Field

[0001] This invention belongs to the field of optical fiber testing technology, specifically relating to a composite optical fiber defect detection device and method. Background Technology

[0002] Currently, the testing methods for optical fibers in China are mainly based on static sampling inspection, such as using fiber optic screening machines. However, these methods cannot achieve continuous measurement along the length of the fiber being tested. Furthermore, the surface defect detection process cannot reflect the details of fiber changes along its length, potentially overlooking defects or anomalies. This makes it difficult to effectively screen fiber products with high requirements. In addition, current fiber defect detection methods cannot simultaneously measure wire diameter, image surface defects, and detect light leakage in a single inspection, indicating significant potential for functional improvement. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] The technical problem to be solved by this invention is: to overcome the above-mentioned shortcomings, how to break through the technical bottleneck of optical fiber defect detection, and how to provide a composite optical fiber defect detection device and method that integrates three main functions: optical fiber surface defect detection imaging, optical fiber diameter consistency detection, and optical fiber light leakage defect detection, so as to realize composite functional detection and identification of defects such as cracks, damage and abnormal diameter on the surface of optical fiber coating.

[0005] (II) Technical Solution

[0006] To address the aforementioned technical problems, this invention provides a composite optical fiber defect detection device, comprising: a light source module, an optical fiber rewinding module, an optical fiber cleaning module, a laser diameter measurement module, a defect detection module, a light leakage detection module, and a data analysis module.

[0007] The light source module is used to inject multimode red light into the optical fiber under test;

[0008] The fiber rewinding module is used to control the movement of the fiber under test;

[0009] The fiber cleaning module is used to remove dust and static electricity from the surface of the fiber under test, thereby reducing misjudgment in fiber surface defect imaging detection.

[0010] The laser diameter measurement module is used to realize the continuous measurement function of the bidirectional diameter of the optical fiber under test.

[0011] The defect detection module is used to image and record defects in the optical fiber under test.

[0012] The light leakage detection module uses a red LD laser as a light source to collect and identify defects at the light leakage point using visual inspection technology.

[0013] The data analysis module is used to analyze and process the surface image of the optical fiber, and to display and alarm it.

[0014] The composite optical fiber defect detection device also includes a system control module;

[0015] The system control module employs a programmable logic controller (PLC), a human-machine interface (touchscreen), and an AC servo control system to realize human-machine interaction functions.

[0016] The light source module is a red light source.

[0017] The fiber rewinding module is implemented using a fiber rewinding machine.

[0018] The fiber optic cleaning module includes a dust removal component and an anti-static component.

[0019] The static eliminator consists of an ion bar, an ion gun, and an ion fan.

[0020] The laser diameter measurement module is implemented using a laser diameter measuring instrument.

[0021] The defect detection module is implemented using a visible light illumination source and a high-speed CCD camera.

[0022] The defect detection module uses a high-speed CCD camera to achieve optical imaging of the optical fiber. The imaging system adopts a double-set symmetrical double-cemented lens design to correct optical aberrations. Surface defect detection and light leakage detection use the same optical structure. The object distance and image distance of the two systems are the same, and the working distance is the same, which facilitates system debugging. Since the optical fiber under test needs to be rapidly and continuously imaged, the illumination of the imaging fiber area must be uniform and stable; otherwise, imaging results with varying brightness will occur. To address the transparent nature of bare optical fibers, high-power LED backlighting is used. To obtain uniform illumination, a light-diffusing plate is inserted between the LED and the optical fiber under test. To address the opaque nature of reinforced optical fibers, a symmetrical side illumination method is used. Two identical light sources are placed symmetrically, and the two sets of light sources are superimposed to obtain uniform illuminance within the imaging field of view.

[0023] Furthermore, the present invention also provides a composite optical fiber defect detection method, which is implemented based on the aforementioned composite optical fiber defect detection device, and the method includes the following steps:

[0024] Step 1: The optical fiber under test travels at a certain speed under the drive of the optical fiber rewinding module, and the traveling speed information of the optical fiber under test is detected.

[0025] Step 2: The optical fiber under test first passes through the optical fiber cleaning module during its journey to remove surface dust and static electricity, reducing false alarms in defect detection. During fiber rewinding, the static electricity removal component of the optical fiber cleaning module continuously blows ionized positive and negative ions toward the optical fiber under test to eliminate static electricity generated during high-speed rewinding and blow away attached particles. After the optical fiber passes through the static electricity removal device, the dust removal component of the optical fiber cleaning module performs dust suction to reduce dust attached to the surface of the optical fiber. Then, it passes through the sponge component, which is filled with alcohol and used to wipe the dust off the surface of the optical fiber.

[0026] Step 3: The optical fiber under test passes through the laser diameter measurement module. The laser diameter measurement module quickly collects the optical fiber diameter data and compares it with the preset optical fiber diameter threshold, recording abnormal data where the diameter exceeds the threshold.

[0027] Step 4: The optical fiber under test passes through the surface defect detection module to perform imaging and defect recording of the optical fiber under test;

[0028] Step 5: The optical fiber under test passes through the light leakage detection module. The light leakage detection module uses an LD laser with red output as a light source to inject red light into the optical fiber under test. When there are defects or damage on the surface of the optical fiber, red light will leak from the defect point. Visual technology is used to collect and identify the defects at the light leakage point.

[0029] Step 6: The data processing module employs different defect detection strategies for bare optical fibers and reinforced optical fibers;

[0030] The bare optical fiber processing flow is as follows: ① The detected length and timestamp are periodically read from the programmable logic controller and sent to the data processing module for storage; ② Images read from the camera are sent to the algorithm processing module to cut the optical fiber area and process for anomalies. Anomaly data is sent to the data processing module, which matches the distance value according to the timestamp and sends it to the anomaly recording module for recording; ③ Anomaly data recorded in the laser diameter measuring instrument are periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording.

[0031] The processing flow for reinforced optical fiber is as follows: ① The detection length and timestamp are periodically read from the programmable logic controller and sent to the data processing module for storage; ② After the laser diameter gauge detects an anomaly, it outputs a signal to trigger the camera to take a picture. The captured picture is directly sent to the data processing module to match the distance value and then sent to the anomaly recording data module; ③ The abnormal data recorded by the laser diameter gauge is periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording.

[0032] (III) Beneficial Effects

[0033] To overcome the above-mentioned shortcomings and break through the technical bottleneck of optical fiber defect detection, this invention provides a composite optical fiber defect detection device and method, which integrates three main functions: optical fiber surface defect detection imaging, optical fiber diameter consistency detection, and optical fiber light leakage defect detection. This enables composite functional detection and identification of defects such as cracks, damage, and abnormal diameter on the surface of the optical fiber coating.

[0034] The composite optical fiber defect detection device and method described above can focus on the performance consistency of the entire long-distance optical fiber, ensuring the stability of optical fiber quality on the one hand, and providing parameter input and data reference for the preparation of optical fiber products on the other.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] (1) The composite optical fiber defect detection device and method use visible light illumination source to provide lateral illumination for the optical fiber under test, use a high-speed CCD camera to realize optical imaging of the optical fiber, and complete the surface defect detection by matching abnormal data with timestamp data and performing data processing. Therefore, the device has the function of high-speed acquisition of optical fiber surface images and can identify optical fiber surface defects.

[0037] (2) The composite optical fiber defect detection device and method uses a semiconductor laser as the light source. By adjusting the circuit of the semiconductor laser driving power supply, a red laser with a power greater than 1W is achieved. The light source injects red light into the single-mode optical fiber under test. If there are scratches or cracks on the surface of the optical fiber, the red light will leak from the defect point. Visual technology is used to collect and identify the leaked light and the defect. Therefore, the device has the function of optical fiber leakage detection and can identify defects such as scratches and cracks that cause optical fiber leakage.

[0038] (3) The composite optical fiber defect detection device and method adopts a laser diameter measuring instrument developed in a secondary manner to realize the continuous measurement function of the bidirectional diameter of the optical fiber under test. Therefore, it has the function of measuring the optical fiber diameter and can measure the optical fiber diameter fluctuation in two orthogonal directions at high speed.

[0039] (4) The composite optical fiber defect detection device and method described above can complete the above-mentioned (1), (2) and (3) tests on bare optical fibers in a complete measurement process, effectively improving the discontinuous and incomplete detection state of optical fiber screening, and providing comprehensive and complete data support for optical fiber screening and detection.

[0040] (5) The data analysis module of the composite optical fiber defect detection device and method analyzes and processes the obtained optical fiber surface image. If a defect is detected, the system control module saves the image data and defect information to the database and displays the defect information on the human-machine interface (touch screen) and generates alarm information. Therefore, the detection method has the function of real-time acquisition of moving optical fiber surface defect image data and provides defect identification and alarm information in real time.

[0041] (6) The system control module of the composite optical fiber defect detection device and method stores defect information, including defect type, defect location and measured optical fiber diameter, etc. Therefore, the detection method has the function of simultaneously recording optical fiber surface image, optical fiber leakage and optical fiber diameter information, and locating optical fiber anomaly points.

[0042] (7) The composite optical fiber defect detection device and method removes dust and static electricity from the surface of the optical fiber through the optical fiber cleaning module, and has the functions of optical fiber cleaning and static electricity removal, thereby improving the accuracy of defect detection.

[0043] (8) As can be seen from items (5), (6) and (7) above, the composite optical fiber defect detection method is designed for a large amount of detection data, which comprehensively improves the data analysis capability and reduces the requirements for users, thereby improving the efficiency of optical fiber screening. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the composite optical fiber defect detection device of the present invention;

[0045] Figure 2 This is a schematic diagram of the working process in an embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of the bare optical fiber detection process in an embodiment of the present invention;

[0047] Figure 4 This is a schematic diagram of the enhanced optical fiber detection process in an embodiment of the present invention. Detailed Implementation

[0048] To make the objectives, contents, and advantages of the present invention clearer, the specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0049] To address the aforementioned technical problems, this invention provides a composite optical fiber defect detection device, such as... Figure 1 As shown, the composite optical fiber defect detection device includes: a light source module, an optical fiber rewinding module, an optical fiber cleaning module, a laser diameter measurement module, a defect detection module, a light leakage detection module, and a data analysis module.

[0050] The light source module is used to inject multimode red light into the optical fiber under test;

[0051] The fiber rewinding module is used to control the movement of the fiber under test;

[0052] The fiber cleaning module is used to remove dust and static electricity from the surface of the fiber under test, thereby reducing misjudgment in fiber surface defect imaging detection.

[0053] The laser diameter measurement module is used to realize the continuous measurement function of the bidirectional diameter of the optical fiber under test.

[0054] The defect detection module is used to image and record defects in the optical fiber under test.

[0055] The light leakage detection module uses a red LD laser as a light source to collect and identify defects at the light leakage point using visual inspection technology.

[0056] The data analysis module is used to analyze and process the surface image of the optical fiber, and to display and alarm it.

[0057] The composite optical fiber defect detection device also includes a system control module;

[0058] The system control module employs a programmable logic controller (PLC), a human-machine interface (touchscreen), and an AC servo control system to realize human-machine interaction functions.

[0059] The light source module is a red light source.

[0060] The fiber rewinding module is implemented using a fiber rewinding machine.

[0061] The fiber optic cleaning module includes a dust removal component and an anti-static component.

[0062] The static eliminator consists of an ion bar, an ion gun, and an ion fan.

[0063] The laser diameter measurement module is implemented using a laser diameter measuring instrument.

[0064] The defect detection module is implemented using a visible light illumination source and a high-speed CCD camera.

[0065] The defect detection module uses a high-speed CCD camera to achieve optical imaging of the optical fiber. The imaging system adopts a double-set symmetrical double-cemented lens design to correct optical aberrations. Surface defect detection and light leakage detection use the same optical structure. The object distance and image distance of the two systems are the same, and the working distance is the same, which facilitates system debugging. Since the optical fiber under test needs to be rapidly and continuously imaged, the illumination of the imaging fiber area must be uniform and stable; otherwise, imaging results with varying brightness will occur. To address the transparent nature of bare optical fibers, high-power LED backlighting is used. To obtain uniform illumination, a light-diffusing plate is inserted between the LED and the optical fiber under test. To address the opaque nature of reinforced optical fibers, a symmetrical side illumination method is used. Two identical light sources are placed symmetrically, and the two sets of light sources are superimposed to obtain uniform illuminance within the imaging field of view.

[0066] Furthermore, the present invention also provides a composite optical fiber defect detection method, which is implemented based on the aforementioned composite optical fiber defect detection device, and the method includes the following steps:

[0067] Step 1: The optical fiber under test travels at a certain speed under the drive of the optical fiber rewinding module, and the traveling speed information of the optical fiber under test is detected.

[0068] Step 2: The optical fiber under test first passes through the optical fiber cleaning module during its journey to remove surface dust and static electricity, reducing false alarms in defect detection. During fiber rewinding, the static electricity removal component of the optical fiber cleaning module continuously blows ionized positive and negative ions toward the optical fiber under test to eliminate static electricity generated during high-speed rewinding and blow away attached particles. After the optical fiber passes through the static electricity removal device, the dust removal component of the optical fiber cleaning module performs dust suction to reduce dust attached to the surface of the optical fiber. Then, it passes through the sponge component, which is filled with alcohol and used to wipe the dust off the surface of the optical fiber.

[0069] Step 3: The optical fiber under test passes through the laser diameter measurement module. The laser diameter measurement module quickly collects the optical fiber diameter data and compares it with the preset optical fiber diameter threshold, recording abnormal data where the diameter exceeds the threshold.

[0070] Step 4: The optical fiber under test passes through the surface defect detection module to perform imaging and defect recording of the optical fiber under test;

[0071] Step 5: The optical fiber under test passes through the light leakage detection module. The light leakage detection module uses an LD laser with red output as a light source to inject red light into the optical fiber under test. When there are defects or damage on the surface of the optical fiber, red light will leak from the defect point. Visual technology is used to collect and identify the defects at the light leakage point.

[0072] Step 6: The data processing module employs different defect detection strategies for bare optical fibers and reinforced optical fibers;

[0073] The bare optical fiber processing flow is as follows: ① The detected length and timestamp are periodically read from the programmable logic controller and sent to the data processing module for storage; ② Images read from the camera are sent to the algorithm processing module to cut the optical fiber area and process for anomalies. Anomaly data is sent to the data processing module, which matches the distance value according to the timestamp and sends it to the anomaly recording module for recording; ③ Anomaly data recorded in the laser diameter measuring instrument are periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording.

[0074] The processing flow for reinforced optical fiber is as follows: ① The detection length and timestamp are periodically read from the programmable logic controller and sent to the data processing module for storage; ② After the laser diameter gauge detects an anomaly, it outputs a signal to trigger the camera to take a picture. The captured picture is directly sent to the data processing module to match the distance value and then sent to the anomaly recording data module; ③ The abnormal data recorded by the laser diameter gauge is periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording.

[0075] In summary, the proposed composite optical fiber defect detection method can perform three main functions in a single measurement process: optical fiber surface defect detection and imaging, optical fiber diameter consistency detection, and optical fiber leakage defect detection. This enables the comprehensive detection and identification of defects such as surface cracks, damage, and abnormal diameter in the optical fiber coating. It effectively improves the discontinuous and incomplete detection process in optical fiber screening, providing comprehensive and complete data support for optical fiber screening and testing.

[0076] Example 1

[0077] This embodiment provides a method for detecting defects in composite optical fibers, the workflow of which is as follows: Figure 2 As shown. The detection principle of the method is as follows:

[0078] (1) The optical fiber under test travels at a certain speed under the drive of the rewinding device, and the travel speed information of the optical fiber under test is detected.

[0079] (2) The optical fiber under test first passes through the optical fiber cleaning module during its journey to remove surface dust and static electricity, reducing false alarms in defect detection. The static electricity removal device in this embodiment can be composed of an ion bar, an ion gun, and an ion fan. During optical fiber rewinding, ionized positive and negative ions are continuously blown towards the optical fiber under test to eliminate static electricity generated during high-speed rewinding and to blow away attached particles. After the optical fiber passes through the static electricity removal device, the dust removal device in this embodiment performs dust extraction to reduce dust adhering to the fiber surface. Then, the fiber passes through a sponge assembly filled with alcohol, which is used to wipe away dust from the fiber surface.

[0080] (3) The optical fiber under test passes through the laser diameter measurement module, which quickly acquires the fiber diameter data and compares it with a preset fiber diameter threshold, recording any abnormal data where the diameter exceeds the threshold. The laser diameter measurement module can be further developed based on the laser diameter meter and integrated into the system to achieve bidirectional optical fiber diameter measurement.

[0081] (4) The fiber under test passes through the surface defect detection module. In this embodiment, a high-speed CCD camera is used to achieve optical imaging of the fiber. The imaging system adopts a double-cemented lens design with a dual-set symmetrical structure to correct optical aberration. The surface defect detection and light leakage detection use the same optical structure. The object distance and image distance of the two systems are the same, and the working distance is the same, which facilitates system debugging. Since it is necessary to perform rapid and continuous imaging of the fiber under test, the illumination of the imaging fiber area must be uniform and stable; otherwise, imaging results with different brightness will occur. In view of the transparent characteristics of the bare fiber itself, a high-power LED backlight illumination method is adopted. In order to obtain a uniform illumination effect, a light-diffusing plate is inserted between the LED and the fiber under test. In view of the opaque characteristics of the reinforced fiber itself, a symmetrical side illumination method is adopted. Two identical light sources are placed symmetrically, and the two sets of light sources are superimposed to obtain uniform illuminance in the imaging field of view.

[0082] (5) The optical fiber under test passes through the light leakage detection module, which uses an LD laser with red output light as the light source to inject red light into the optical fiber under test. When there are defects or damage on the surface of the optical fiber, red light will leak from the defect point. Visual technology is used to collect and identify the defects at the light leakage point. As mentioned above, the light leakage detection and surface defect detection use the same optical structure lens. The difference is that the numerical aperture of the lens of the light leakage detection module is large, which increases the light collection capability and meets the requirements for detecting weak light leakage. In addition, in order to reduce the interference of ambient light on light leakage detection, a narrowband filter can be added in front of the light leakage detection lens. The center wavelength and bandwidth of the filter are selected according to the actual output parameters of the red light LD.

[0083] (6) The system control module of the composite optical fiber defect detection method adopts a programmable logic controller (PLC), a human-machine interface (touch screen), and an AC servo control system. Among them, ① the AC servo system has the advantages of wide speed range, high speed stability, large low-speed torque, low noise, high efficiency, and high reliability; ② the programmable logic controller (PLC) controls the traction and cable laying servo controllers according to the parameters set by the human-machine interface (touch screen), so that the corresponding servo motors run; ③ the traction speed adopts uniform speed control to ensure the stability of the linear speed and control the acceleration and deceleration of the entire system. The traction speed is set and adjusted in the human-machine interface (touch screen); ④ The take-up motor adopts servo control. The displacement change of the take-up dance device is input to the programmable logic controller (PLC) through sensors. After calculation by the PLC, the speed of the take-up motor is controlled to achieve automatic synchronization between the take-up speed and the traction speed; ⑤ The cable laying is controlled by the PLC based on the take-up speed, fiber optic reel width, and inner and outer edge correction values ​​of the fiber optic reel. The PLC counts and calculates the rotation speed of the cable laying servo motor, and then controls the commutation of the cable laying servo motor to achieve automatic cable laying. The cable laying pitch is set and adjusted in the human-machine interface (touch screen);

[0084] (7) The data processing module of the embodiment adopts different defect detection strategies for bare optical fibers and reinforced optical fibers, respectively as follows: Figure 3 and Figure 4 As shown. The processing flow for bare optical fiber is as follows: ① The detected length and timestamp are periodically read from the programmable logic controller (PLC) and sent to the data processing module for storage; ② Images read from the camera are sent to the algorithm processing module to cut the fiber area and process for anomalies. Anomaly data is sent to the data processing module, which matches the distance value according to the timestamp and sends it to the anomaly recording module for recording; ③ Anomaly data recorded by the laser diameter gauge is periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording. Figure 3 As shown. The processing flow for reinforced optical fiber is as follows: ① The detection length and timestamp are periodically read from the programmable logic controller (PLC) and combined, then sent to the data processing module for storage; ② After the laser diameter gauge detects an anomaly, it outputs a signal to trigger the camera to take a picture. The captured picture is directly sent to the data processing module to match the distance value and then sent to the anomaly recording data module; ③ The abnormal data recorded by the laser diameter gauge is periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording. Figure 4 As shown.

[0085] The above-described composite optical fiber defect detection method, when configured with appropriate instruments and equipment according to actual conditions, can achieve the following detection indicators:

[0086] (1) The imaging frame rate is greater than or equal to 10 frames / s;

[0087] (2) The imaging resolution is 10±2μm;

[0088] (3) The minimum detectable defect size along the fiber length direction is less than or equal to 50 μm;

[0089] (4) Wire diameter measurement range: 0.04mm~6.00mm;

[0090] (5) Measurable fiber length is greater than or equal to 50km;

[0091] (6) The wire diameter detection accuracy is less than or equal to 2μm;

[0092] (7) The optical fiber travel speed is greater than or equal to 0.2 m / s;

[0093] (8) The duration of a single continuous measurement is greater than or equal to 100 hours.

[0094] This embodiment has a high-speed optical fiber surface image acquisition function, which can identify optical fiber surface defects; it has an optical fiber leakage detection function, which can identify defects such as scratches and cracks that cause optical fiber leakage; and it has an optical fiber diameter measurement function, which can measure the optical fiber diameter fluctuation in two orthogonal directions at high speed.

[0095] This embodiment innovatively designs a composite defect detection method for bare optical fibers and reinforced optical fibers. The testing method is ingenious, reduces the testing difficulty, has high testing accuracy, and provides comprehensive and effective data, laying a methodological foundation for composite optical fiber defect detection.

[0096] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A composite optical fiber defect detection device, characterized in that, The composite optical fiber defect detection device includes: a light source module, an optical fiber rewinding module, an optical fiber cleaning module, a laser diameter measurement module, a defect detection module, a light leakage detection module, and a data analysis module. The light source module is used to inject multimode red light into the optical fiber under test; The fiber rewinding module is used to control the movement of the fiber under test; The fiber cleaning module is used to remove dust and static electricity from the surface of the fiber under test, thereby reducing misjudgment in fiber surface defect imaging detection. The laser diameter measurement module is used to realize the continuous measurement function of the bidirectional diameter of the optical fiber under test. The defect detection module is used to image and record defects in the optical fiber under test. The light leakage detection module uses a red LD laser as a light source to collect and identify defects at the light leakage point using visual inspection technology. The data analysis module is used to analyze and process the surface image of the optical fiber, and to display and alarm it. The composite optical fiber defect detection device also includes a system control module; The system control module employs a programmable logic controller, a human-machine interface, and an AC servo control system to realize human-machine interaction functions. The light source module is a red light source; The fiber rewinding module is implemented using a fiber rewinding machine; The fiber optic cleaning module includes a dust removal component and an anti-static component. The static elimination component consists of an ion bar, an ion gun, and an ion fan. The laser diameter measuring module is implemented using a laser diameter measuring instrument; The defect detection module is implemented using a visible light illumination source and a high-speed CCD camera. The defect detection module uses a high-speed CCD camera to achieve optical imaging of the optical fiber. The imaging system adopts a double-set symmetrical double-cemented lens design to correct optical aberrations. Surface defect detection and light leakage detection use the same optical structure. The object distance and image distance of the two systems are the same, and the working distance is the same, which facilitates system debugging. Since the optical fiber under test needs to be rapidly and continuously imaged, the illumination of the imaging fiber area must be uniform and stable; otherwise, imaging results with varying brightness will occur. To address the transparent nature of bare optical fibers, high-power LED backlighting is used. To obtain uniform illumination, a light-diffusing plate is inserted between the LED and the optical fiber under test. To address the opaque nature of reinforced optical fibers, a symmetrical side illumination method is used. Two identical light sources are placed symmetrically, and the two sets of light sources are superimposed to obtain uniform illuminance within the imaging field of view. The implementation method of the composite optical fiber defect detection device includes the following steps: Step 1: The optical fiber under test travels at a certain speed under the drive of the optical fiber rewinding module, and the traveling speed information of the optical fiber under test is detected. Step 2: The optical fiber under test first passes through the optical fiber cleaning module during its journey to remove surface dust and static electricity, reducing false alarms in defect detection. During fiber rewinding, the static electricity removal component of the optical fiber cleaning module continuously blows ionized positive and negative ions toward the optical fiber under test to eliminate static electricity generated during high-speed rewinding and blow away attached particles. After the optical fiber passes through the static electricity removal device, the dust removal component of the optical fiber cleaning module performs dust suction to reduce dust attached to the surface of the optical fiber. Then, it passes through the sponge component, which is filled with alcohol and used to wipe the dust off the surface of the optical fiber. Step 3: The optical fiber under test passes through the laser diameter measurement module. The laser diameter measurement module quickly collects the optical fiber diameter data and compares it with the preset optical fiber diameter threshold, recording abnormal data where the diameter exceeds the threshold. Step 4: The optical fiber under test passes through the surface defect detection module to perform imaging and defect recording of the optical fiber under test; Step 5: The optical fiber under test passes through the light leakage detection module. The light leakage detection module uses an LD laser with red output as a light source to inject red light into the optical fiber under test. When there are defects or damage on the surface of the optical fiber, red light will leak from the defect point. Visual technology is used to collect and identify the defects at the light leakage point. Step 6: The data processing module employs different defect detection strategies for bare optical fibers and reinforced optical fibers; The bare optical fiber processing flow is as follows: ① The detected length and timestamp are periodically read from the programmable logic controller and sent to the data processing module for storage; ② Images read from the camera are sent to the algorithm processing module to cut the optical fiber area and process for anomalies. Anomaly data is sent to the data processing module, which matches the distance value according to the timestamp and sends it to the anomaly recording module for recording; ③ Anomaly data recorded in the laser diameter measuring instrument are periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording. The processing flow for reinforced optical fiber is as follows: ① The detection length and timestamp are periodically read from the programmable logic controller and sent to the data processing module for storage; ② After the laser diameter gauge detects an anomaly, it outputs a signal to trigger the camera to take a picture. The captured picture is directly sent to the data processing module to match the distance value and then sent to the anomaly recording data module; ③ The abnormal data recorded by the laser diameter gauge is periodically read and sent to the data processing module. The data processing module matches the distance value according to the timestamp and sends it to the anomaly recording module for recording.

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