Optical fiber connector defect detector and detection method

Abstract

The invention relates to the technical field of optical fiber connector defect detection, and discloses an optical fiber connector defect detector and a detection method.The optical fiber connector defect detector comprises a computer, a CCD camera, a PZT control instrument, a working platform and a white light interference system, the computer is connected with the CCD camera and the PZT control instrument through wires and controls work of the CCD camera and the PZT control instrument, and the white light interference system is connected with the working platform. The PZT controller is connected with the working platform through a wire and drives the working platform to move, the optical fiber connector is loaded on the working platform, and the CCD camera collects end face photos of the optical fiber connector on the working platform under the assistance of the white light interference system. Wherein the white light interference system comprises an imaging objective lens, a reference lens, a collimator, a spectroscope and a light source, the light source at least can respectively emit red light and white light, the imaging objective lens and the spectroscope are sequentially arranged between the CCD camera and the working platform, and the light source, the collimator, the spectroscope and the reference lens are sequentially arranged. The environment adaptability and the detection reliability of the detector can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical fiber connector defect detection, and particularly to an optical fiber connector defect detector and a detection method. Background Art

[0002] In applications, optical fibers need to use connectors to maximize the coupling of the optical energy output by the transmitting optical fiber into the receiving optical fiber. If the connection surface of the optical fiber connector is uneven and the ferrule cannot be aligned, the optical fiber cannot be tightly connected to the optical fiber, which will increase the loss during the transmission of optical signals, reduce the transmission efficiency, and affect the data transmission.

[0003] During the production process of optical fiber connectors, optical fiber connector interferometers are generally used for detection. To meet market requirements, some different optical fiber connector end face detectors have also emerged in the prior art. For example, the WI-5000 series measuring instruments launched by Keyence Corporation can achieve a fastest measurement time of 0.13 s, and the measurement accuracy reaches the micron level. Another example is the WKFI-MT12 / 16 interferometer launched by Weikan Technology Co., Ltd., which can autofocus and calibrate independently, realizing fully automatic measurement. Its fastest measurement time reaches 1 s, and the Gaussian filtering algorithm is used to denoise the measurement results, and the test data has high reliability. Another example is the SANA optical fiber end face interferometer launched by Shenzhen Dimension Technology Co., Ltd., which uses a 635 nm high-power LED narrowband light source and can complete a measurement in 1.5 s at the fastest. However, manual focusing is required during the measurement process, and the repeatability is not high. The above optical fiber connector detectors can all realize the restoration and parameter measurement of the optical fiber end face, but have relatively strict requirements on the use environment, and the background light intensity in the working environment and the dust in the air will affect the detection effect of the instrument. Summary of the Invention

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide an optical fiber connector defect detector and a detection method, which can effectively improve the environmental adaptability and detection reliability of the detector.

[0005] The present invention is implemented by the following technical solutions: An optical fiber connector defect detector includes a computer, a CCD camera, a PZT controller, a working platform, and a white light interference system. The computer is connected to the CCD camera and the PZT controller through wires to control the operation of the CCD camera and the PZT controller. The PZT controller is connected to the working platform through a wire to drive the working platform to move. An optical fiber connector is placed on the working platform, and the CCD camera collects an end face photo of the optical fiber connector on the working platform with the assistance of the white light interference system. The white light interference system includes an imaging objective lens, a reference mirror, a collimator, a beam splitter, and a light source. The light source can at least emit red light and white light respectively. The imaging objective lens and the beam splitter are sequentially arranged between the CCD camera and the working platform, and the light source, the collimator, the beam splitter, and the reference mirror are sequentially arranged.

[0006] An optical fiber connector defect detection method includes the following steps:

[0007] Step 1: Fix the optical fiber connector to be detected on the working platform and start the optical fiber connector defect detector;

[0008] Step 2: The PZT controller drives the working platform to move forward with a fixed step distance, so that the distance between the beam splitting prism and the surface of the optical fiber connector changes continuously, causing white light interference and generating bright and dark white light interference fringes;

[0009] Step 3: The CCD camera on the optical fiber connector defect detector acquires about [a certain number] interference fringe images;

[0010] Step 4: Perform unwrapping algorithm analysis, including wavelet packet and deep learning to obtain the envelope kernel, and stably and quickly obtain the height information of each coordinate through the fast unwrapping algorithm for converting the interference pattern to a three-dimensional map;

[0011] Step 5: Process and analyze the three-dimensional data obtained after unwrapping, exclude abnormal data points, and analyze and calculate the remaining data to extract various parameters.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: An optical fiber connector defect detector and a detection method thereof according to the present invention drive a working platform to move forward with a fixed step distance through a PZT controller. As the working platform moves, the distance between the beam splitter and the surface of the optical fiber connector continuously changes, and the corresponding optical path difference first decreases to 0 and then increases. When the position of a certain area on the surface of the optical fiber connector satisfies the conditions of white light interference, white light interference will occur, generating bright and dark white light interference fringes. While the working platform is moving, a CCD camera takes images and stores them in the external hard drive of a computer. The storage format of the images is bmp. By analyzing the interference photos, the surface topography of the optical fiber connector is restored, completing the quality detection of the optical fiber connector, and effectively improving the environmental adaptability and detection reliability of the detector. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a schematic structural diagram of the optical fiber connector defect detector of the present invention;

[0014] Figure 2 is a flow chart of the optical fiber connector defect detection method of the present invention.

[0015] In the figure: computer - 1; CCD camera - 2; PZT controller - 3; working platform - 4; white light interference system - 5; optical fiber connector - 6; imaging objective lens - 51; reference mirror - 52; collimator - 53; beam splitter - 54; light source - 55. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The following specific examples illustrate the embodiments of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0017] The object of the present invention is to provide an optical fiber connector defect detector and a detection method to address the deficiencies of the prior art.

[0018] Embodiment 1

[0019] An optical fiber connector defect detector provided in this embodiment, with reference to Figure 1As shown in the figure, it includes a computer 1, a CCD camera 2, a PZT controller 3, a working platform 4, and a white light interference system 5. The computer 1 is connected to the CCD camera 2 and the PZT controller 3 respectively through wires to control the operation of the CCD camera 2 and the PZT controller 3. The PZT controller 3 is connected to the working platform 4 through a wire to drive the working platform 4 to move. The working platform 4 carries an optical fiber connector 6. The CCD camera 2 collects the end face photo of the optical fiber connector 6 on the working platform 4 with the assistance of the white light interference system 5. The white light interference system 5 therein includes an imaging objective lens 51, a reference mirror 52, a collimator 53, a beam splitter 54, and a light source 55. The light source 55 can at least emit red light and white light respectively. The imaging objective lens 51 and the beam splitter 54 are sequentially arranged between the CCD camera 2 and the working platform 4. The light source 55, the collimator 53, the beam splitter 54, and the reference mirror 52 are sequentially arranged.

[0020] After the instrument is started, the PZT controller 3 drives the working platform 4 to move forward with a fixed step distance. As the working platform 4 moves, the distance between the beam splitter 54 and the surface of the optical fiber connector 6 continuously changes, and the corresponding optical path difference first decreases to 0 and then increases. When the position of a certain area on the surface of the optical fiber connector 6 satisfies the condition of white light interference, white light interference will occur, generating bright and dark white light interference fringes. While the working platform 4 is moving, the CCD camera 2 takes pictures and stores them in the mobile hard disk of the computer 1. The storage format of the images is bmp. By analyzing the interference photos, the surface topography of the optical fiber connector is restored, and the quality inspection of the optical fiber connector is completed, which can effectively improve the environmental adaptability and detection reliability of the detector.

[0021] A method for detecting defects of an optical fiber connector, referring to Figure 2 shown in the figure, includes the following steps:

[0022] Step 1: Fix the optical fiber connector 6 to be detected on the working platform 4 and start the optical fiber connector defect detector;

[0023] Step 2: The PZT controller 3 drives the working platform 4 to move forward with a fixed step distance, so that the distance between the beam splitting prism 54 and the surface of the optical fiber connector 6 continuously changes, white light interference occurs, and bright and dark white light interference fringes are generated;

[0024] Step 3: The CCD camera 2 on the optical fiber connector defect detector acquires about 200 interference fringe images;

[0025] Step 4: Perform unwrapping algorithm analysis, including wavelet packet and deep learning to obtain the envelope kernel, and stably and quickly obtain the height information of each coordinate through the fast unwrapping algorithm for converting the interference pattern to a three-dimensional graph;

[0026] Step Five: Process and analyze the three-dimensional data obtained after unpacking, exclude abnormal data points, and perform analysis and calculation on the remaining data to extract various parameters.

[0027] In addition, it should be understood that although this specification is described according to the embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An optical fiber connector defect detector, characterized in that: The invention comprises a computer (1), a CCD camera (2), a PZT controller (3), a working platform (4) and a white light interference system (5). The computer (1) is connected to the CCD camera (2) and the PZT controller (3) through wires to control the operation of the CCD camera (2) and the PZT controller (3). The PZT controller (3) is connected to the working platform (4) through wires to drive the working platform (4) to move. An optical fiber connector (6) is mounted on the working platform (4). The CCD camera (2) collects end surface photos of the optical fiber connector (6) on the working platform (4) with the assistance of the white light interference system (5). The white light interference system (5) comprises an imaging objective lens (51), a reference mirror (52), a collimator (53), a beam splitter (54) and a light source (55). The light source (55) can emit at least red light and white light respectively. The imaging objective lens (51) and the beam splitter (54) are (54) is sequentially arranged between the CCD camera (2) and the working platform (4), and the light source (55), the collimator (53), the beam splitter (54) and the reference mirror (52) are sequentially arranged; the PZT controller (3) drives the working platform (4) to move forward at a fixed step distance, and as the working platform (4) moves, the distance from the beam splitter (54) to the surface of the optical fiber connector (6) changes continuously, and the corresponding optical path difference changes from first decreasing to (0) and then increasing. When the position of a certain area on the surface of the optical fiber connector (6) meets the conditions of white light interference, white light interference will occur, generating white light interference fringes of light and dark; while the working platform (4) moves, the CCD camera (2) captures an image and stores it in a mobile hard disk of the computer (1), and the image storage format is bmp; by analyzing the interference photo, the surface morphology of the optical fiber connector is restored to complete the quality inspection of the optical fiber connector.

2. A method for detecting optical fiber connector defects, using the optical fiber connector defect detector described in claim 1, characterized in that: The following steps are involved: Step 1: Fix the optical fiber connector (6) to be inspected on the working platform (4) and start the optical fiber connector defect detector; Step 2: The PZT controller (3) drives the working platform (4) to move forward at a fixed step distance, so that the distance from the beam splitter (54) to the surface of the optical fiber connector (6) changes continuously, causing white light interference to generate white light interference fringes with alternating light and dark colors; Step 3: The CCD camera (2) on the optical fiber connector defect detector obtains (200) or so interference fringe images; Step 4: Perform unwrapping algorithm analysis, including wavelet packets and deep learning to obtain the envelope kernel, and use the fast unwrapping algorithm of interferogram to 3D graph to stably and quickly obtain the height information of each coordinate; Step 5: Process and analyze the three-dimensional data obtained after unpacking, eliminate abnormal data points, and analyze and calculate the remaining data to extract various parameters.

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