A method and system for inspecting the end face of optical fibers used in optical fiber connectors.

Abstract

This invention relates to a method and system for end-face inspection of optical fibers used in optical fiber connectors, belonging to the field of optical fiber inspection technology. The method includes: responding to a detection signal to acquire a detection device number; determining the damaged LED number based on the detection device number; executing a detection scheme to obtain an end-face image; if the damaged LED number does not exist, determining an anomaly based on the end-face image and outputting it; if the damaged LED number exists, determining a replacement LED number based on the damaged LED number; obtaining and executing a rotation scheme based on the damaged LED number and the replacement LED number, re-acquiring the end-face image and defining it as a replacement image; determining a damaged image region based on the end-face image and the damaged LED number; obtaining a replacement image region based on the replacement LED number and the replacement image, and replacing the damaged image region to obtain a complete image; determining an anomaly based on the complete image and outputting it. This invention improves the accuracy of end-face inspection and the reliability of the end-face image.

Description

Technical Field

[0001] This invention relates to the field of optical fiber testing technology, and in particular to a method and system for testing the end face of optical fibers used in optical fiber connectors. Background Technology

[0002] In fields such as fiber optic communication, fiber optic sensing, and data center cabling, the cleanliness and integrity of the fiber optic endface directly determine the quality of optical signal transmission and are a core prerequisite for ensuring communication link stability and reducing transmission loss. Accurate detection of defects such as contamination (e.g., dust, oil, debris) and physical damage (e.g., scratches, cracks, dents) on the fiber optic endface is a crucial step in fiber optic production quality inspection, link maintenance, and equipment installation and commissioning. Effective identification and assessment of endface defects can proactively prevent signal attenuation, reflection interference, and other faults caused by endface issues, thus ensuring the communication performance of the fiber optic link.

[0003] Currently, various fiber optic end-face inspection devices have emerged in the industry. Their core functionality involves integrating a high-precision microscopic optics module, an image acquisition module, and a light source module to achieve magnified imaging of the fiber optic end-face. Defects in the image are then identified and judged using manual visual observation or machine vision algorithms, replacing the traditional, crude inspection method that relies on direct visual observation. This lays the foundation for improving inspection accuracy and efficiency. The light source module typically employs a ring-array LED structure, ensuring uniform end-face imaging through multi-angle light illumination. Combined with the image acquisition module, it captures end-face details, enabling visualized defect detection.

[0004] Regarding the aforementioned technologies, in actual testing, they generally rely on light reflection within the measuring device. When the device emitting the light malfunctions, image recognition is easily misled, resulting in low accuracy of end-face detection. Summary of the Invention

[0005] To improve the accuracy and reliability of end-face inspection, this invention provides a method and system for end-face inspection of optical fibers used in optical fiber connectors.

[0006] In a first aspect, the present invention provides a method for detecting the end face of an optical fiber for an optical fiber connector, employing the following technical solution:

[0007] A method for inspecting the end face of an optical fiber used in an optical fiber connector, comprising:

[0008] Step 1: In response to the detection signal, obtain the detection device number;

[0009] Step 2: Determine the damaged LED number based on the detection device number;

[0010] Step 3: Control the detection device corresponding to the detection device number to execute the preset detection scheme to obtain the end face image;

[0011] Step 4: If the damaged LED chip number is missing, determine the abnormal situation based on the end face image and output it;

[0012] Step 5: If the damaged LED chip number exists, determine the replacement LED chip number based on the damaged LED chip number;

[0013] Step 6: Obtain the rotation scheme based on the damaged LED number and the replacement LED number, execute it, and re-acquire the end face image and define it as the replacement image;

[0014] Step 7: Determine the damaged image area based on the end face image and the damaged LED number;

[0015] Step 8: Obtain the replacement image area based on the replacement LED number and the replacement image, and replace the damaged image area to obtain a complete image;

[0016] Step 9: Determine the abnormal image situation based on the complete image and output it as an abnormal situation.

[0017] By adopting the above technical solution, the detection device is bound to the LED number in response to the detection signal. When there is no damaged LED, the image is directly judged to be abnormal. When there is a damaged LED, a replacement LED is found. The image is rotated and the damaged area is replaced to generate a complete image. Finally, the abnormal situation is output. This avoids the situation where the end face image is incomplete and the reliability is low due to LED damage, thereby improving the accuracy of fiber optic end face detection and the reliability of end face image.

[0018] Optional rotation schemes include:

[0019] Step 60: Determine the LED bead ring number based on the damaged LED bead number;

[0020] Step 61: Find the normal LED number by using the LED ring number;

[0021] Step 62: If the normal LED chip number exists, count the number and location of the damaged LED chips based on the damaged LED chip number;

[0022] Step 63: If the number of damaged LED beads is equal to 1, find the adjacent LED bead number based on the location and number of the damaged LED bead and define it as the replacement LED bead number for output.

[0023] Step 64: Calculate the rotation angle based on the damaged LED number and the replacement LED number;

[0024] Step 65: Control the LED ring corresponding to the LED ring number to rotate according to the rotation angle to execute the rotation scheme.

[0025] By adopting the above technical solution, the damaged LED bead ring is located and normal LED beads are screened. After counting the number and location of each damaged LED bead, adjacent LED beads are matched as replacements and the rotation angle is calculated to control the directional rotation of the LED bead ring. This avoids detection blind spots caused by the damage of a single LED bead, and improves the integrity and reliability of end face image acquisition.

[0026] Optionally, it also includes a method for implementing a rotation scheme if the number of damaged LEDs is greater than 1, the method comprising:

[0027] Step 66: Obtain the sorting of damaged LED beads based on their numbers and preset sorting rules;

[0028] Step 67: Obtain the replacement LED order by sorting the damaged LEDs and the normal LEDs;

[0029] Step 68: Obtain the first number of the damaged LED based on the sorting of damaged LEDs;

[0030] Step 69: Obtain the first number of the substitute LED based on the sorting of the substitute LEDs;

[0031] Step 70: Calculate the rotation group angle using the first damaged LED number and the first replacement LED number;

[0032] Step 71: Control the LED ring corresponding to the LED ring number to rotate according to the rotation group angle to execute the rotation scheme.

[0033] By adopting the above technical solution, when the number of damaged LED beads is greater than 1, the damaged LED beads are sorted according to the preset arrangement rules, and then the corresponding replacement LED beads are matched to obtain the sorting. The rotation group angle is calculated by the first LED bead number of the two sorted groups, and the LED bead ring is controlled to rotate at this angle, avoiding large-area detection blind spots caused by multiple damaged LED beads, and ensuring the integrity and reliability of end face image acquisition.

[0034] Optionally, it also includes a method for executing a rotation scheme when the substitute LED sequence does not exist, the method comprising:

[0035] Step 72: Randomly select the damaged LED chip numbers and combine them to obtain damaged LED chip number groups;

[0036] Step 73: Obtain the number of LEDs in a group based on the damaged LED number group;

[0037] Step 74: Sort the damaged LED chip numbers based on the number of LED chips in each group to obtain the LED chip group sorting;

[0038] Step 75: Output the damaged LED bead number groups in sequence based on the LED bead group sorting and execute steps 66 to 69 to obtain the first damaged LED bead number group and the first replacement LED bead number group;

[0039] Step 76: Calculate the rotation group angle set by comparing the first group of damaged LED beads with the first group of replacement LED beads;

[0040] Step 77: Output the rotation group angles sequentially based on the rotation group angle set and control the lamp bead rings corresponding to the lamp bead ring numbers to rotate in order to execute the rotation scheme.

[0041] By adopting the above technical solution, when the replacement LED bead sequence is missing, the damaged LED bead numbers are grouped and sorted, and the replacement LED bead sequence is matched in turn. The rotation group angle set is calculated, and the LED bead ring is controlled to rotate sequentially according to the angle set. This avoids detection failure caused by the missing replacement LED bead sequence and further improves the adaptability of the rotation scheme and the stability of end face image acquisition.

[0042] Optionally, it also includes a solution for situations where anomalies exist, the method of which includes:

[0043] Step 90: If the abnormal situation is the preset water content situation, determine the position of the water content end face based on the end face image;

[0044] Step 91: Locate the corresponding blower number based on the location of the water-bearing end face;

[0045] Step 92: Determine the blowing parameters based on the abnormal situation;

[0046] Step 93: Control the blower device to blow air according to the blowing parameters.

[0047] By adopting the above technical solution, when the abnormal situation is a water content situation, the position of the water content end face is first located based on the end face image, then the corresponding blowing device number is matched and the blowing parameters are determined according to the water content situation. The control device blows according to the parameters, avoiding the impact of residual moisture on the accuracy of end face detection, and improving the pertinence of abnormal handling and the reliability of end face detection.

[0048] Optionally, methods for determining blowing parameters based on abnormal conditions include:

[0049] Step 920: Obtain the moisture content of the end face based on the abnormal situation;

[0050] Step 921: Determine the blowing angle and blowing distance based on the blowing device number and the position of the water-containing end face;

[0051] Step 922: Determine the blowing force parameters and blowing time based on the blowing distance and the moisture content of the end face;

[0052] Step 923: Combine the blowing time, blowing angle, and blowing force parameters to form blowing parameters and output them.

[0053] By adopting the above technical solution, the water content of the end face is obtained from the water content anomaly. The blowing angle and distance are determined by combining the blowing device number and the water content location. Then, the blowing force is matched according to the distance and water content. Finally, the blowing parameters are integrated to avoid incomplete cleaning or damage to the fiber end face due to improper parameters. This further improves the effectiveness and safety of anomaly handling and indirectly improves the accuracy and image reliability of end face detection.

[0054] Optionally, if the abnormal condition involves moisture content, the solutions also include:

[0055] Step 924: After the end face has been blown according to the blowing time, the end face image is re-acquired to update the abnormal situation;

[0056] Step 925: If the abnormal situation is still water content, find the corresponding heating device number based on the location of the water content end face;

[0057] Step 926: Determine heating parameters based on abnormal conditions;

[0058] Step 927: Control the heating device corresponding to the heating device number to heat the end face according to the heating parameters.

[0059] By adopting the above technical solution, after air blowing and cleaning, the end face image is re-acquired to verify the water content abnormality. If the abnormality is not eliminated, the corresponding heating device is matched, and the heating parameters are determined in combination with the updated abnormality and the heating treatment is performed. This avoids the problem that a single air blowing method cannot completely remove moisture, and improves the thoroughness of water content abnormality treatment and the reliability of end face detection.

[0060] Optionally, after the end face has been blown according to the blowing time, a method for executing the testing plan is provided, the method comprising:

[0061] Step 928: Reacquire the abnormal situation based on the end face image and define it as the blowing result situation;

[0062] Step 929: Determine the type and location of the foreign object based on the blowing results;

[0063] Step 930: If the type of foreign object is a preset type of contaminant, obtain the corresponding cleaning device number and cleaning plan based on the blowing results and the type of foreign object, and execute the cleaning plan;

[0064] Step 931: If the type of foreign object is a preset damage type, obtain the foreign object LED number based on the foreign object area;

[0065] Step 932: When the detection plan is executed, the number of foreign object LED beads is not controlled to participate in the detection plan.

[0066] By adopting the above technical solution, the end face image is re-acquired after the air blowing process to determine the air blowing result, clarify the type and area of ​​foreign objects, match the corresponding cleaning device and solution for contaminated foreign objects to perform cleaning, locate the corresponding LED number for damaged foreign objects and shield the LED in subsequent inspections, avoid interference of damaged foreign objects and related LEDs on the inspection results, and further improve the accuracy of fiber optic end face inspection and the comprehensiveness of anomaly handling.

[0067] Optionally, methods for determining the damaged LED number based on the detection device number include:

[0068] Step 20: Upon receiving a detection signal, obtain the corresponding receiving device number based on the detection device number;

[0069] Step 21: Control the receiving device corresponding to the receiving device number to execute the preset installation plan;

[0070] Step 22: After the installation plan is completed, control the LED bead group corresponding to the detection device number to emit light in the preset light emission sequence to obtain the received light;

[0071] Step 23: Determine the corresponding LED bead numbers according to the light emission sequence and the received light.

[0072] Step 24: If light is present, define the corresponding LED bead number as the normal LED bead number;

[0073] Step 25: If no light is received, define the corresponding LED number as the damaged LED number.

[0074] By adopting the above technical solution, after receiving the detection signal, the detection device and the receiving device are first associated with each other, the receiving device is driven to complete the installation, and then the LED group is controlled to emit light and collect the received light. The status of the LED is determined according to whether there is light. If there is light, it is a normal LED; if there is no light, it is marked as a damaged LED. This avoids the errors and inefficiencies of manually checking the status of LEDs and lays a reliable foundation for subsequent replacement LED matching and complete image acquisition.

[0075] Secondly, the present invention provides an end-face inspection system for optical fibers used in optical fiber connectors, employing the following technical solution:

[0076] An end-face inspection system for optical fibers used in optical fiber connectors, comprising:

[0077] The acquisition module is used to acquire the detection device number;

[0078] A memory for storing a program for a control method of an optical fiber end face detection method for an optical fiber connector as described above;

[0079] The processor loads and executes programs from memory.

[0080] By adopting the above technical solution, the module accurately acquires the detection device number, and combined with the fiber optic end-face detection full-process control program stored in the memory, the processor loads and executes the program to realize the automated operation of lamp bead status recognition, replacement scheme execution, image acquisition and processing, and anomaly handling, ensuring the standardization and stability of the detection process and improving the overall detection efficiency and reliability of the fiber optic end-face detection system.

[0081] In summary, the present invention has at least one of the following beneficial technical effects:

[0082] 1. By identifying the damaged LEDs in the detection device, when there are no damaged LEDs, the abnormality can be directly determined through the end face image. When there are damaged LEDs, the LEDs are rotated to obtain a replacement image and the end face image is replaced by a region, so that the end face image is complete and reliable. This avoids the end face image being incomplete due to LED damage, and improves the accuracy of end face detection and the reliability of end face image.

[0083] 2. By analyzing and sorting the numbers of the damaged LED beads to obtain the corresponding replacement LED bead groups, the number of times the LED beads are rotated and the number of replacement images are captured is reduced. In some cases, only one rotation is needed to obtain a complete image, which improves the efficiency of replacement image acquisition and the integrity and reliability of end face images. Attached Figure Description

[0084] Figure 1 This is a flowchart of a method for detecting the end face of an optical fiber used in an optical fiber connector, according to an embodiment of this application. Detailed Implementation

[0085] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0086] This invention discloses a method for inspecting the end face of an optical fiber used in optical fiber connectors. (Refer to...) Figure 1 A method for inspecting the end face of an optical fiber used in an optical fiber connector includes:

[0087] Step 1: In response to the detection signal, obtain the detection device number.

[0088] The detection signal refers to the signal that initiates the detection of the fiber optic end face. The response is provided by an electrical signal button on the end face detection device housing, which the user presses to activate the detection.

[0089] The testing device number refers to the unique identifier of the device used to test the fiber end face. This identifier is obtained by assigning a unique identifier to each testing device, which is related to the type of fiber the device can detect. Personnel skilled in the art assign unique identifiers to the corresponding testing devices based on different fiber types and input them into the system. When the system receives a testing signal, it automatically retrieves and matches the testing device that corresponds to the fiber type and outputs its identifier, such as FC1, FC2, SC1, etc.

[0090] Step 2: Determine the damaged LED number based on the detection device number.

[0091] The damaged LED number refers to the unique serial number of the LED in the testing device that is unable to emit light normally. The method of identification is as follows: each LED in the testing device has a unique serial number. A person skilled in the art assigns a unique serial number to each LED according to the LED arrangement at the time of manufacture and inputs it into the system. When the system receives a detection signal, a plate extends from inside the testing device. This plate contains multiple light sensors (used to receive light). Based on whether the light sensors receive light, the system determines which LEDs are damaged and automatically retrieves and outputs the corresponding stored serial number for each damaged LED.

[0092] Step 3: Control the detection device corresponding to the detection device number to execute the preset detection scheme to obtain the end face image.

[0093] The inspection scheme refers to a standardized procedure and set of operating instructions for imaging inspection of the fiber optic end face. Here, the inspection scheme is executed by having skilled personnel input the standardized procedures and operating instructions for different inspection devices into the system. When the system receives the inspection device number, it automatically retrieves the inspection scheme associated with that number and then sequentially controls the inspection device to complete the precise positioning of the fiber optic clamp, the parameterized illumination of the LED array, the signal acquisition by the image sensor, and the preprocessing of the raw image to execute the inspection scheme. The end face image refers to the image of the fiber optic end face. Here, it is obtained by the image sensor converting the acquired reflected light signal from the fiber optic end face into a digital electrical signal. After noise reduction, white balance calibration, and edge enhancement operations are performed by the system's built-in image preprocessing algorithm, a digital image containing the complete morphological features of the fiber optic end face is generated as the end face image.

[0094] Step 4: If the damaged LED number does not exist, determine the abnormal situation based on the end face image and output it.

[0095] Anomalies refer to conditions on the fiber optic endface that could affect the fiber. The method for determining these anomalies involves the system using a fiber optic endface defect identification algorithm to compare the acquired endface image with a pre-entered standard qualified endface image by pixel-level feature analysis. This extracts areas of abrupt grayscale changes, edge distortion, and foreign object attachment from the endface image. Combined with defect judgment thresholds (obtained by engineers based on different fiber optic endface testing standards, such as IEC 61300 fiber optic connector testing specifications, combined with the imaging resolution of the testing device, LED illumination parameters, and actual application requirements, multi-level thresholds are set and input into the system. When the system receives the endface image, it matches the corresponding defect judgment threshold based on the fiber optic connector type), identifying issues such as scratches, edge chipping, particle contamination, water stains, and coating damage that could affect fiber optic transmission performance and integrating them into anomalies. The output method involves the system classifying and presenting the integrated anomalies in a combined format of structured defect information and visual image annotations on the local display module of the testing device.

[0096] If the damaged LED number is not found, it means that the detection device can generate the end face image normally and the image reliability will not be reduced due to LED damage. Therefore, the abnormal situation is determined and output based on the end face image.

[0097] Step 5: If the damaged LED chip number exists, determine the replacement LED chip number based on the damaged LED chip number.

[0098] The replacement LED number is a unique number for the LED that replaces the damaged one. It is determined by the system using the LED arrangement as it was at the factory, combined with the LED ring number corresponding to the damaged LED number. The system then locates a healthy LED in an adjacent ring and defines its number as the replacement LED number.

[0099] If the damaged LED chip number exists, it indicates that the end face image obtained by direct detection may be inaccurate. In order to generate a reliable and valid end face image in the future, the replacement LED chip number is determined based on the damaged LED chip number.

[0100] Step 6: Obtain the rotation scheme based on the damaged LED number and the replacement LED number, execute it, and re-acquire the end face image and define it as the replacement image.

[0101] The rotation scheme refers to the specific operations and procedures for controlling the rotation of the LED bead ring. Here, the system calculates the difference in the central angle between the damaged and replacement LED beads on the LED bead ring based on the factory LED arrangement. This angle difference is determined as the ring's rotation angle. Simultaneously, by combining the LED bead ring's drive motor parameters (such as speed and start / stop accuracy), the system matches the corresponding rotation start / stop sequence, rotation direction, and positioning calibration steps. The rotation angle, rotation direction, start / stop sequence, and positioning calibration steps are integrated into a complete rotation scheme. The execution method involves the system sending a rotation command to the LED bead ring's drive motor. The motor, following the rotation direction, speed, and start / stop sequence in the rotation scheme, rotates the LED bead ring to the calculated central angle difference position. After rotation, the ring positioning calibration program is initiated. The positioning sensor on the ring confirms that the illumination angle of the replacement LED bead is completely consistent with the illumination angle of the original damaged LED bead.

[0102] A substitute image refers to the end-face image obtained after the LED beads of the detection device have finished rotating and re-emitted light. Here, it is defined as follows: after the rotation scheme is completed, the system directly considers the newly acquired end-face image as the substitute image.

[0103] Step 7: Determine the damaged image area based on the end face image and the damaged LED number.

[0104] The damaged image area refers to the portion of the end-face image corresponding to the damaged LED. This is determined by a person skilled in the art who, based on the arrangement of the LED array, the illumination angle of each LED, and its coverage area, identifies the coordinates of the illumination area corresponding to each LED on the end-face image and inputs them into the system. Once the damaged LED number is obtained, the system directly matches the image area coordinates corresponding to that number as the damaged image area.

[0105] Step 8: Obtain the replacement image area based on the replacement LED number and the replacement image, and replace the damaged image area to obtain a complete image.

[0106] The replacement image region refers to the image region corresponding to the damaged LED emitted by the replacement LED. This is obtained by the system selecting the coordinates of the image region corresponding to the damaged LED from the replacement image. The complete image refers to the image after the damaged image region has been completed. This is obtained by precisely overlaying the selected replacement image region onto the damaged image region of the original end-face image. An image grayscale equalization algorithm is used to eliminate brightness differences and transition marks at the region stitching points, ensuring that the replaced image maintains consistency in morphological features and brightness distribution, ultimately forming a complete image of the fiber optic end face without any missing information.

[0107] Step 9: Determine the abnormal image situation based on the complete image and output it as an abnormal situation.

[0108] Abnormal image conditions refer to anomalies present in the complete image. The method for determining this is the same as the method for obtaining abnormal conditions described in step 4, and will not be repeated here.

[0109] The rotation scheme specifically includes:

[0110] Step 60: Determine the LED ring number based on the damaged LED number.

[0111] The LED ring number refers to the unique number of the ring in which the damaged LED is located. The method for determining this is that each LED corresponds to its own ring. A person skilled in the art inputs the ring arrangement structure of the LED array from the manufacturer into the system. Once the system obtains the damaged LED number, it directly retrieves the mapping table to match the ring number of the damaged LED.

[0112] Step 61: Find the normal LED number by using the LED ring number.

[0113] A normal LED chip number refers to the unique number of an LED chip that can normally emit light according to the testing scheme. The search method here is to filter out all LED chip numbers under the given chip number ring, then remove the LED chip numbers marked as damaged, and finally use the remaining LED chip numbers as normal LED chip numbers.

[0114] Step 62: If the normal LED number exists, count the number and location of the damaged LEDs based on the damaged LED number.

[0115] The number of damaged LEDs refers to the number of LEDs that cannot emit light normally to perform the detection scheme. This is counted by the system filtering out all damaged LEDs and using a counting function to count the total number of damaged LED entries in the list. The location of a damaged LED refers to its position on the LED ring. This is counted by the system matching the counted damaged LED numbers, extracting its corresponding ring angle value, relative distance to the ring center, or interval number of adjacent LEDs, thereby determining and recording the specific position of each damaged LED on the LED ring.

[0116] If the normal LED number exists, it means that the normal LED can be replaced by the damaged LED to perform end face inspection by rotating the LED ring. Therefore, the number and location of the damaged LEDs are counted based on the damaged LED number.

[0117] Step 63: If the number of damaged LEDs is equal to 1, find the adjacent LED number based on the location and number of the damaged LED and define it as the replacement LED number for output.

[0118] The adjacent LED number refers to the unique number of the nearest healthy LED on the same LED ring as the damaged LED. The lookup method involves skilled personnel identifying the nearest adjacent LED number for each LED on the same ring according to the LED ring arrangement rules and inputting this information into the system. Once the system obtains the damaged LED number, it directly searches and matches to find the corresponding adjacent LED numbers. The output method involves the system treating the adjacent LED number as a replacement LED number and then sending this replacement LED number to the LED driver module and the image acquisition module.

[0119] If the number of damaged LEDs is equal to 1, it means that the remaining LEDs are all normal LEDs. In order to facilitate the replacement of damaged LEDs with replacement LEDs, the adjacent LED numbers are found based on the location and number of the damaged LED and defined as the replacement LED numbers for output.

[0120] Step 64: Calculate the rotation angle based on the damaged LED number and the replacement LED number.

[0121] The rotation angle refers to the angle by which the LED bead ring needs to rotate. The calculation method here is as follows: the system identifies the central angle position of each LED bead on the ring, then extracts the central angle values ​​corresponding to the damaged LED bead number and the replacement LED bead number, and calculates the absolute value of the angle difference between the two as the rotation angle.

[0122] Step 65: Control the LED ring corresponding to the LED ring number to rotate according to the rotation angle to execute the rotation scheme.

[0123] The rotation method here involves the system sending a rotation command to the drive motor corresponding to the LED bead ring number. The command includes the rotation direction, rotation angle, and motor speed parameters. The motor drives the LED bead ring to rotate according to the set parameters.

[0124] This also includes a method for implementing a rotation scheme when the number of damaged LEDs is greater than 1. This method includes:

[0125] Step 66: Obtain the sorting of damaged LED beads based on the damaged LED bead number and the preset sorting rules.

[0126] The arrangement rule refers to the principle of sorting the damaged LED chip numbers in ascending order. This arrangement rule is obtained by professionals in the field who pre-define it based on the numerical coding logic of the LED chip numbers, explicitly using the ascending order of the LED chip numbers as the core sorting criterion, while limiting the sorting range to damaged LED chip numbers within the same LED chip ring number, and then inputting it into the system. Damaged LED chip sorting refers to the sorting of the damaged LED chip numbers. This is obtained by the system using the ascending order arrangement rule to filter out all damaged LED chip numbers within the same LED chip ring number, sorting them in ascending order of numerical value, generating an ordered sequence of damaged LED chip numbers.

[0127] Step 67: Obtain the replacement LED order by sorting the damaged LEDs and the normal LEDs.

[0128] The replacement LED sequence refers to the sequence of replacement LED numbers that corresponds one-to-one with the sequence of damaged LEDs. This is achieved by the system searching for the replacement LED number for each damaged LED number according to its original sequence, and then arranging these replacement LED numbers in a one-to-one correspondence with the position of the corresponding damaged LED in the sequence, generating a sequence in the same direction as the damaged LED sequence. For example, if there are 10 LEDs on a LED ring, and LEDs 1, 3, and 5 are damaged, then the damaged LED sequence is 1, 3, and 5. The normal LED numbers are 2, 4, 6, 7, 8, 9, and 10. Since LEDs 1, 3, and 5 are adjacent to LEDs 2, 4, and 6, the replacement LED sequence is 2, 4, and 6.

[0129] Step 68: Obtain the first number of the damaged LED based on the sorting of damaged LEDs.

[0130] The first damaged LED number refers to the LED number that appears first in the sequence of damaged LEDs. This is obtained by the system directly extracting the first LED number from the sequence and defining it as the first damaged LED number. For example, if the damaged LEDs are sequenced as 2, 3, and 5, then the first damaged LED number would be 2.

[0131] Step 69: Obtain the first number of the substitute LED based on the sorting of the substitute LEDs.

[0132] The first substitute LED number refers to the LED number that appears first in the substitute LED sequence. This is obtained by the system directly extracting the first LED number from the sequence and defining it as the first substitute LED number. For example, if the substitute LED sequence is 3, 5, and 9, then the first substitute LED number is 3.

[0133] Step 70: Calculate the rotation group angle by comparing the first damaged LED number with the first replacement LED number.

[0134] The rotation group angle refers to the angle that the LED ring needs to rotate based on the first LED among multiple damaged LEDs and the first replacement LED. The calculation method here is to extract the central angle values ​​corresponding to the first damaged LED number and the first replacement LED number respectively, and calculate the absolute value of the angle difference between the two as the rotation group angle.

[0135] Step 71: Control the LED ring corresponding to the LED ring number to rotate according to the rotation group angle to execute the rotation scheme.

[0136] The rotation method here is the same as that described in step 65, so it will not be repeated here.

[0137] This also includes a method for executing a rotation scheme when the replacement LED order is unavailable, the method comprising:

[0138] Step 72: Randomly select the damaged LED chip numbers and combine them to obtain damaged LED chip number groups.

[0139] A damaged LED chip number group refers to a combination of numbers corresponding to multiple damaged LED chips. This is achieved by the system arbitrarily selecting and combining damaged LED chips from the chip ring to form a group of damaged LED chips. Then, the system automatically matches the unique numbers corresponding to the damaged LED chips in the group and integrates them to form a damaged LED chip number group. For example, if the damaged LED chips are numbered 1, 2, 5, and 9, the system will combine chips 1 and 2, resulting in a damaged LED chip number group of 1 and 2.

[0140] Step 73: Obtain the number of LEDs in a group based on the damaged LED number group.

[0141] The number of LEDs in a group refers to the number of LEDs in the damaged LED number group. This number is obtained by the system directly reading the total number of LED number entries contained in the damaged LED number group.

[0142] Step 74: Sort the damaged LED numbers based on the number of LEDs in each group to obtain the LED group sorting.

[0143] The LED group sorting refers to the sorting of the damaged LED group numbers. This is obtained by the system sorting the damaged LED group numbers from largest to smallest number of LEDs in the group. For example: Group A has two damaged LEDs (numbers 1 and 2), and Group B has three damaged LEDs (numbers 3, 4, and 6). Therefore, the LED group sorting for these two groups is: Group 1, Group B; Group 2, Group A.

[0144] Step 75: Output the damaged LED number groups in sequence based on the LED group sorting and execute steps 66 to 69 to obtain the first damaged LED number group and the first replacement LED number group.

[0145] The output method here is that the system extracts the damaged LED bead numbers from each group of LED bead numbers according to the order of the LED bead group and outputs them in a standardized manner. The first group of damaged LED bead numbers refers to the combination of multiple first numbers of damaged LED beads. The first group of replacement LED bead numbers refers to the combination of multiple first numbers of replacement LED beads. The method here is to perform steps 66 to 69 on each group of damaged LED bead numbers output in sequence, generate the corresponding damaged LED bead sort according to each group of damaged LED bead numbers and extract the first number of damaged LED beads, then match it to obtain the corresponding replacement LED bead sort and extract the first number of replacement LED beads, then integrate the first numbers of damaged LED beads from all groups according to the output order to form the first group of damaged LED bead numbers, and integrate the first numbers of replacement LED beads from all groups according to the corresponding order to form the first group of replacement LED bead numbers.

[0146] Step 76: Calculate the rotation group angle set by comparing the first group of damaged LED beads with the first group of replacement LED beads.

[0147] A rotation group angle set refers to a collection of angles formed by multiple rotation groups. Here, the method of obtaining this set is as follows: the system extracts the central angle value corresponding to each number in the first numbered group of the damaged LED and the central angle value of the corresponding number in the first numbered group of the replacement LED, calculates the absolute value of the angle difference between the two, and obtains the angle of a single rotation group; all individual rotation group angles are then integrated in their corresponding order to form a rotation group angle set.

[0148] Step 77: Output the rotation group angles sequentially based on the rotation group angle set and control the lamp bead rings corresponding to the lamp bead ring numbers to rotate in order to execute the rotation scheme.

[0149] The system extracts individual rotation group angles sequentially according to the integration order of the rotation group angle sets and outputs them to the corresponding LED bead ring drive module. After receiving the rotation angle command, the drive module controls the LED bead ring to complete precise rotation positioning. After each rotation operation is completed, the LED bead end face detection scheme is immediately triggered and the entire process detection is executed. After the single detection scheme is completed, the system extracts the next rotation group angle from the rotation group angle set and repeats the above operation until the rotation and detection process corresponding to the last rotation group angle in the rotation group angle set is completed.

[0150] This also includes solutions for abnormal situations, including:

[0151] Step 90: If the abnormal situation is the preset water content situation, determine the position of the water content end face based on the end face image.

[0152] Moisture content refers to the presence of residual water stains on the fiber optic end face. The method for obtaining moisture content information involves professionals in the field pre-setting a threshold for determining moisture content on the fiber optic end face based on industry standards for fiber optic end face inspection and actual application requirements. This threshold includes, but is not limited to, a threshold for the percentage of water stain area, a range of grayscale values ​​for water stains, and edge feature parameters for water stains. These criteria are then entered into the system. When the system receives an end face image or a complete image, it performs preprocessing such as grayscale conversion and edge extraction. Based on the determination rules, it then performs feature matching and parameter calculation on suspected water stain areas in the image to determine whether the condition indicates moisture content.

[0153] The location of the water-bearing end face refers to the physical location of the water stain on the end face. This is determined by the system after determining the water content. Using a pre-processed image of the fiber optic end face and feature matching results of the suspected water stain area, the system calculates the geometric center coordinates and boundary contour coordinates of the water stain area based on the fiber optic end face coordinate system (established with the end face center as the origin, radial direction as the horizontal axis, and circumferential direction as the vertical axis). These coordinate data are then compared and calibrated with the reference positions of the fiber optic end face (such as the end face edge or positioning markers) to ultimately determine the specific physical location of the water stain on the fiber optic end face.

[0154] If the abnormality is due to water content, it indicates that there are residual water stains on the end face. Therefore, the location of the water-containing end face is determined based on the end face image for better subsequent cleaning.

[0155] Step 91: Locate the corresponding blower number based on the location of the water-bearing end face.

[0156] The blower device number refers to the unique number of the device used to blow away water stains. The search method here involves those skilled in the art associating the end-face locations of different areas with the corresponding blower device numbers responsible for blowing away water stains in those areas, and inputting this information into the system. Once the system determines the location of the water-bearing end-face, it uses a location coordinate matching algorithm to find the blower device number corresponding to the current water-bearing end-face location.

[0157] Step 92: Determine the blowing parameters based on the abnormal situation.

[0158] The blowing parameters refer to the relevant datasets for the blowing device. These parameters include the blowing angle, air volume, and wind speed. The method for determining these parameters involves professionals in the field establishing pre-defined association rules between different water stain characteristics and corresponding blowing angles, air volume levels, and wind speed thresholds based on fiber optic end-face cleaning process requirements. These rules are then input into the system. When the system receives a signal indicating water content, it first analyzes the corresponding core characteristic parameters, including the proportion of water stain area, water stain thickness distribution, and the relative position of the water stain to the end-face center. Then, based on the association rules, it compares and matches the real-time extracted water stain characteristic parameters with the rules in the matching library. Through parameter fitting calculations, the optimal blowing angle, air volume, and wind speed are determined, and a set of blowing parameters adapted to the current abnormal water content is formed.

[0159] Step 93: Control the blower device to blow air according to the blowing parameters.

[0160] The blowing method here involves the system sending instructions to the blowing device corresponding to the blowing device number, including blowing parameters such as blowing angle, air volume, and wind speed. After receiving the instructions, the device adjusts the air outlet to the blowing angle and blows the water stain residue area on the fiber end face in a directional manner according to the set air volume and wind speed.

[0161] The methods for determining blowing parameters based on abnormal conditions include:

[0162] Step 920: Obtain the moisture content of the end face based on the abnormal situation.

[0163] End-face water content refers to the amount of water stains on the fiber optic end face. This is obtained by the system extracting the pixel area of ​​the water stain region using an image segmentation algorithm. This is combined with a conversion ratio between the fiber end face pixels and the actual size (this conversion ratio is obtained during system initialization using a standard fiber end face calibration component: a standard fiber end face with known physical size markings is selected, its image is acquired using an image acquisition device, the number of pixels N0 corresponding to the standard markings in the image is counted, and the actual physical size corresponding to each pixel is calculated using the formula: conversion ratio = d0 divided by N0, and this conversion ratio is stored in the system). The actual coverage area of ​​the water stains is then calculated. Next, the thickness distribution data of the water stain region is obtained using a laser confocal image depth detection model, and the average thickness of the water stains is calculated. Based on the actual coverage area and average thickness of the water stains, combined with the density constant of water, the end-face water content of the fiber optic end face is calculated using the formula: water content = area × average thickness × water density.

[0164] Step 921: Determine the blowing angle and blowing distance based on the blowing device number and the position of the water-containing end face.

[0165] The blowing angle refers to the angle at which the blowing device blows air. The blowing distance refers to the distance between the blowing device and the water-bearing location on the end face. Here, the method of determination is as follows: the system uses the spatial installation coordinates corresponding to the blowing device's number, combined with the three-dimensional coordinates of the water-bearing end face, to calculate the straight-line distance between the blowing device's outlet and the geometric center of the water-stained area using a spatial distance formula. Simultaneously, with the optimization objective of ensuring the blowing airflow vertically covers the center of the water-stained area, the angle between the outlet axis and the normal vector of the water-stained area is calculated to determine the blowing angle.

[0166] Step 922: Determine the blowing force parameters and blowing time based on the blowing distance and the moisture content of the end face.

[0167] The blowing force parameters refer to the wind speed and air volume parameters when the blowing device blows air. The blowing time refers to the time spent blowing air onto the end face. The method for determining these parameters is as follows: experts in the field obtain the correlation data between the blowing distance, end face moisture content, blowing time, and blowing force parameters through multiple sets of comparative experiments and input them into the system. When the system obtains the blowing distance and end face moisture content, it matches the corresponding basic wind speed, air volume parameters, and basic blowing time using an interpolation algorithm. Then, it adjusts the blowing force parameters and blowing time based on the spatial distribution characteristics of the water-containing end face location (such as edge areas and center areas). In edge areas, moisture evaporates easily, so the wind speed can be appropriately reduced and the blowing time shortened. In center areas, moisture tends to remain, so the air volume can be appropriately increased and the blowing time extended. Finally, the blowing force parameters and blowing time suitable for the current cleaning scenario are determined.

[0168] Step 923: Combine the blowing time, blowing angle, and blowing force parameters to form blowing parameters and output them.

[0169] The system here involves structurally integrating blowing time, blowing angle, and blowing force parameters, standardizing and encapsulating the data according to a hierarchical character and number combination encoding format, and then validating the integrated parameter set to generate a complete set of blowing parameters. The output method involves directionally transmitting the blowing parameters to the blowing device for output.

[0170] The solutions for abnormal conditions involving moisture content also include:

[0171] Step 924: After the end face has been blown according to the blowing time, the end face image is re-acquired to update the abnormal situation.

[0172] The update method here is that the system performs secondary imaging on the same fiber end face to obtain the end face image after purging. Then, according to the fiber end face anomaly judgment algorithm introduced in step 90, the newly acquired image is subjected to preprocessing and analysis processes such as grayscale conversion, edge extraction, and water stain feature matching. Core indicators such as water stain area ratio and water content are recalculated to update the anomaly situation.

[0173] After the end face has been blown according to the blowing time, it means that the fiber end face has been cleaned. Therefore, the end face image is re-acquired to update the abnormal situation.

[0174] Step 925: If the abnormal situation is still water content, find the corresponding heating device number based on the location of the water content end face.

[0175] The heating device number refers to the unique number of the device that heats the fiber end face. The search method here is for those skilled in the art to associate the end face position of different areas with the heating device number responsible for drying water stains in that area, and input them into the system. When the system determines that the abnormal situation after purging is still water-containing and determines the updated water-containing end face position, it uses the same position coordinate matching algorithm as in step 91 to find the heating device number corresponding to the current water-containing end face position.

[0176] If the abnormal situation is still that the water is present, it means that blowing air alone cannot clean the water stains. Therefore, the corresponding heating device number should be found based on the location of the water-containing end face.

[0177] Step 926: Determine heating parameters based on abnormal conditions.

[0178] Heating parameters refer to the parameters that control the heating device to heat the fiber end face. Here, the method of determination is as follows: Based on the fiber end face drying process requirements and the performance parameters of the heating device, those skilled in the art pre-establish association rules between different water stain residue characteristics (including residual area percentage, water content, and water stain distribution location) and corresponding heating temperature thresholds, heating durations, and heating power levels, and input these rules into the system. When the system determines that abnormal water content still exists after purging and matches the corresponding heating device number, it updates the core characteristic parameters of the water-containing end face, then compares and matches the real-time parameters with the association rules, and determines the optimal heating temperature, heating duration, and heating power through parameter fitting calculation, integrating them to form heating parameters adapted to the current water residue situation.

[0179] Step 927: Control the heating device corresponding to the heating device number to heat the end face according to the heating parameters.

[0180] The heating method here is that the system sends a command containing heating parameters such as heating temperature, heating time, and heating power to the heating device corresponding to the heating device number. After receiving the command, the device adjusts the heating source to the corresponding area that matches the position of the water-containing end face, and starts the heating program according to the set parameters to heat the water stain residual area on the fiber end face at a fixed point.

[0181] The method for executing the testing plan after the end face has been blown according to the blowing time includes:

[0182] Step 928: Reacquire the abnormal situation based on the end face image and define it as the blowing result situation.

[0183] The "blowing result" refers to the abnormal conditions of the fiber optic end face after it has been blown cleaned by a blower according to parameters, and the resulting image of the end face is re-acquired and analyzed. Here, the system defines any newly acquired abnormal conditions as the "blowing result."

[0184] Step 929: Determine the type and location of the foreign object based on the results of the air blowing.

[0185] Foreign object type refers to the type of abnormal object on the fiber optic endface. Foreign object area refers to the area on the fiber optic endface where the abnormal object is located. The method for determining this is as follows: Personnel skilled in the art input the characteristic information of all possible foreign object types that may appear on the fiber optic endface into the system. When the system re-acquires the abnormal situation, it automatically performs a pixel-level comparison between the updated endface image after purging and the endface image before cleaning, extracting the features of the abnormal area that was not purged and removed from the image, matching and distinguishing different foreign object types such as dust particles and oil stains. Simultaneously, combined with the regional coordinate system of the fiber optic endface, it locates the geometric center coordinates and boundary range of the abnormal area, accurately determining the corresponding foreign object area.

[0186] Step 930: If the type of foreign object is a preset type of contaminant, obtain the corresponding cleaning device number and cleaning plan based on the air blowing results and the type of foreign object, and execute the cleaning plan.

[0187] The contamination type refers to the type of abnormal object that only obstructs or contaminates the fiber optic end face without causing damage. This contamination type is defined by professionals in the field who categorize all foreign objects, classifying those that will not damage the fiber optic end face as contamination types and inputting them into the system.

[0188] The cleaning device number refers to the unique identifier of the device used to clean the fiber optic end face. This is achieved by assigning different cleaning devices and their unique identifiers to different types of contamination. Each cleaning device is uniquely assigned a number based on the type of contamination and input into the system. When the system detects a type of contamination, it automatically matches the corresponding cleaning device number. The cleaning plan refers to the specific operations and procedures for cleaning the fiber optic end face. This is also achieved by assigning different cleaning plans to different types of contamination. Each cleaning plan is developed by professionals in the field based on the type of contamination and input into the system. When the system receives a contamination type, it searches for the corresponding cleaning plan and outputs it.

[0189] The execution method here is that after the system matches the corresponding cleaning device number and cleaning plan, it sends a cleaning plan instruction to the cleaning device corresponding to the number. After receiving the instruction, the device performs targeted cleaning operations on the located foreign object area according to the cleaning sequence, operation parameters and number of cycles set in the plan.

[0190] If the foreign object is a contaminant, it means that the foreign object can be cleaned without worrying about damaging the optical fiber. Therefore, based on the air blowing results and the type of foreign object, the corresponding cleaning device number and cleaning plan are obtained, and the cleaning plan is executed.

[0191] Step 931: If the foreign object is a preset damage type, obtain the foreign object LED number based on the foreign object area.

[0192] Damage type refers to foreign objects attached to the fiber end face that cause irreversible damage to the structure or performance of the fiber end face and cannot be removed by conventional cleaning methods. The damage type is categorized by professionals in the field based on the physicochemical properties of the foreign object, its interaction mechanism with the fiber end face, and the risk of damage. Foreign objects that are corrosive, have a hardness higher than the fiber end face material, or are prone to causing scratches or damage to the coating layer, thus causing irreversible damage to the fiber end face, are identified as damage types and entered into the system.

[0193] The foreign object LED number refers to the unique number of the LED that emits light corresponding to the foreign object area. This number is obtained by having professionals in the field assign a unique number to the LED emitting light corresponding to each area and input it into the system. When the system determines that the foreign object is damaged, it extracts the geometric coordinates and boundary range of the located foreign object area, and uses a coordinate matching algorithm to retrieve the corresponding entry in the mapping table to accurately obtain the foreign object LED number associated with that area.

[0194] If the foreign object is classified as a damaged object, it means that cleaning the foreign object may cause damage to the fiber optic end face. Therefore, the foreign object LED number is obtained based on the foreign object area.

[0195] Step 932: When the detection plan is executed, the number of foreign object LED beads is not controlled to participate in the detection plan.

[0196] To avoid damaging the fiber optic end face during the testing process, the number of foreign object LED beads is not controlled to participate in the testing process.

[0197] The methods for determining the damaged LED number based on the detection device number include:

[0198] Step 20: Upon receiving a detection signal, obtain the corresponding receiving device number based on the detection device number.

[0199] The receiver number refers to the unique number of the device that receives the light emitted by the LED. Here, it is obtained by having one receiver within each detection device. The detection device number corresponds one-to-one with the receiver number, and this is pre-set by those skilled in the art and input into the system. When the system receives a detection signal, it prioritizes detecting itself before detecting the end face to avoid unreliable subsequent end face images. Therefore, it retrieves and outputs the corresponding receiver number.

[0200] When a detection signal is received, it indicates that the end face is about to be detected. In order to improve the reliability of the detected image, the corresponding receiving device number is obtained based on the detection device number.

[0201] Step 21: Control the receiving device corresponding to the receiving device number to execute the preset installation plan.

[0202] The installation scheme refers to the specific operations and procedures for fixing the receiving device. Here, the execution method is as follows: the system issues an installation execution command to the receiving device corresponding to the receiving device number. After receiving the command, the receiving device drives the preset displacement mechanism to push the sensing plate, which consists of multiple light sensors, from the initial storage position to the preset detection position at the front end of the target LED. Then, the sensing plate is accurately fixed by the positioning buckle.

[0203] Step 22: After the installation plan is completed, control the LED bead group corresponding to the detection device number to emit light in the preset light emission sequence to obtain the received light.

[0204] The emission sequence refers to the order in which each LED emits light sequentially and individually. This emission sequence is obtained by assigning a unique number to each LED and inputting these numbers into the system to form the emission sequence. Receiving light refers to the receiving device receiving the light emitted by the LEDs. This is obtained by the system sending a command to the LED group corresponding to the detection device's number, and the LED group, upon receiving the command, emits light forward at a preset power and wavelength to the light sensor in the receiving device. The sensor converts the light signal into an electrical signal and performs analog-to-digital conversion, ultimately generating received light data.

[0205] Step 23: Determine the corresponding LED number according to the light emission sequence and the received light.

[0206] The LED bead number refers to the unique number corresponding to each independently emitting light bead. The method for determining this number is as follows: a person skilled in the art binds the unique number of each LED bead to the direct path of its emitted light and the receiving area, and enters this information into the system. When the receiving device collects the received light, the system extracts the coordinates of the receiving position of the light and uses a path matching algorithm to reverse-search the corresponding transmission path, accurately determining the LED bead number corresponding to that light. If the received light cannot be received, the current LED bead number is determined according to the emission sequence, and this LED bead number is considered a damaged LED bead number for subsequent steps to distinguish it.

[0207] Step 24: If light is present, define the corresponding LED bead number as the normal LED bead number.

[0208] If light is present, it means that the corresponding LED bead can emit light normally. Therefore, the corresponding LED bead number is defined as the normal LED bead number.

[0209] Step 25: If no light is received, define the corresponding LED number as the damaged LED number.

[0210] If the light source is not present, it means that the corresponding LED is not emitting light properly. Therefore, the corresponding LED number is defined as the damaged LED number.

[0211] Based on the same inventive concept, embodiments of the present invention provide an end-face inspection system for optical fibers used in optical fiber connectors.

[0212] One of the fiber end-face inspection systems for fiber optic connectors includes:

[0213] The acquisition module is used to obtain the detection device number.

[0214] A memory for storing a program for a control method of detecting the end face of an optical fiber for an optical fiber connector.

[0215] The processor loads and executes programs from memory.

[0216] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0217] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for inspecting the end face of an optical fiber used in an optical fiber connector, characterized in that, include: Step 1: In response to the detection signal, obtain the detection device number; Step 2: Determine the damaged LED number based on the detection device number; Step 3: Control the detection device corresponding to the detection device number to execute the preset detection scheme to obtain the end face image; Step 4: If the damaged LED chip number is missing, determine the abnormal situation based on the end face image and output it; Step 5: If the damaged LED chip number exists, determine the replacement LED chip number based on the damaged LED chip number; Step 6: Obtain the rotation scheme based on the damaged LED number and the replacement LED number, execute it, and re-acquire the end face image and define it as the replacement image; Step 7: Determine the damaged image area based on the end face image and the damaged LED number; Step 8: Obtain the replacement image area based on the replacement LED number and the replacement image, and replace the damaged image area to obtain a complete image; Step 9: Determine the abnormal image situation based on the complete image and output it as an abnormal situation.

2. The method for end-face inspection of optical fiber for optical fiber connectors according to claim 1, characterized in that, The rotation scheme specifically includes: Step 60: Determine the LED bead ring number based on the damaged LED bead number; Step 61: Find the normal LED number by using the LED ring number; Step 62: If the normal LED chip number exists, count the number and location of the damaged LED chips based on the damaged LED chip number; Step 63: If the number of damaged LED beads is equal to 1, find the adjacent LED bead number based on the location and number of the damaged LED bead and define it as the replacement LED bead number for output. Step 64: Calculate the rotation angle based on the damaged LED number and the replacement LED number; Step 65: Control the LED ring corresponding to the LED ring number to rotate according to the rotation angle to execute the rotation scheme.

3. The method for end-face inspection of optical fiber for optical fiber connectors according to claim 2, characterized in that, It also includes a method for implementing a rotation scheme when the number of damaged LEDs is greater than 1, the method including: Step 66: Obtain the sorting of damaged LED beads based on their numbers and preset sorting rules; Step 67: Obtain the replacement LED order by sorting the damaged LEDs and the normal LEDs; Step 68: Obtain the first number of the damaged LED based on the sorting of damaged LEDs; Step 69: Obtain the first number of the substitute LED based on the sorting of the substitute LEDs; Step 70: Calculate the rotation group angle using the first damaged LED number and the first replacement LED number; Step 71: Control the LED ring corresponding to the LED ring number to rotate according to the rotation group angle to execute the rotation scheme.

4. The method for detecting the end face of an optical fiber for an optical fiber connector according to claim 3, characterized in that, It also includes a method for executing a rotation scheme when the substitute LED order is unavailable, the method comprising: Step 72: Randomly select the damaged LED chip numbers and combine them to obtain damaged LED chip number groups; Step 73: Obtain the number of LEDs in a group based on the damaged LED number group; Step 74: Sort the damaged LED chip numbers based on the number of LED chips in each group to obtain the LED chip group sorting; Step 75: Output the damaged LED bead number groups in sequence based on the LED bead group sorting and execute steps 66 to 69 to obtain the first damaged LED bead number group and the first replacement LED bead number group; Step 76: Calculate the rotation group angle set by comparing the first group of damaged LED beads with the first group of replacement LED beads; Step 77: Output the rotation group angles sequentially based on the rotation group angle set and control the lamp bead rings corresponding to the lamp bead ring numbers to rotate in order to execute the rotation scheme.

5. The method for end-face inspection of an optical fiber for an optical fiber connector according to claim 1, characterized in that, It also includes solutions for abnormal situations, including: Step 90: If the abnormal situation is the preset water content situation, determine the position of the water content end face based on the end face image; Step 91: Locate the corresponding blower number based on the location of the water-bearing end face; Step 92: Determine the blowing parameters based on the abnormal situation; Step 93: Control the blower device to blow air according to the blowing parameters.

6. The method for end-face inspection of an optical fiber for an optical fiber connector according to claim 5, characterized in that, Methods for determining blowing parameters based on abnormal conditions include: Step 920: Obtain the moisture content of the end face based on the abnormal situation; Step 921: Determine the blowing angle and blowing distance based on the blowing device number and the position of the water-containing end face; Step 922: Determine the blowing force parameters and blowing time based on the blowing distance and the moisture content of the end face; Step 923: Combine the blowing time, blowing angle, and blowing force parameters to form blowing parameters and output them.

7. The method for end-face inspection of an optical fiber for an optical fiber connector according to claim 6, characterized in that, If the abnormal condition involves moisture content, the solutions also include: Step 924: After the end face has been blown according to the blowing time, the end face image is re-acquired to update the abnormal situation; Step 925: If the abnormal situation is still water content, find the corresponding heating device number based on the location of the water content end face; Step 926: Determine heating parameters based on abnormal conditions; Step 927: Control the heating device corresponding to the heating device number to heat the end face according to the heating parameters.

8. The method for end-face inspection of an optical fiber for an optical fiber connector according to claim 6, characterized in that, A method for executing a testing procedure after blowing the end face according to the specified blowing time, the method comprising: Step 928: Reacquire the abnormal situation based on the end face image and define it as the blowing result situation; Step 929: Determine the type and location of the foreign object based on the blowing results; Step 930: If the type of foreign object is a preset type of contaminant, obtain the corresponding cleaning device number and cleaning plan based on the blowing results and the type of foreign object, and execute the cleaning plan; Step 931: If the type of foreign object is a preset damage type, obtain the foreign object LED number based on the foreign object area; Step 932: When the detection plan is executed, the number of foreign object LED beads is not controlled to participate in the detection plan.

9. The method for end-face inspection of an optical fiber for an optical fiber connector according to claim 1, characterized in that, Methods for determining the damaged LED chip number based on the detection device number include: Step 20: Upon receiving a detection signal, obtain the corresponding receiving device number based on the detection device number; Step 21: Control the receiving device corresponding to the receiving device number to execute the preset installation plan; Step 22: After the installation plan is completed, control the LED bead group corresponding to the detection device number to emit light in the preset light emission sequence to obtain the received light; Step 23: Determine the corresponding LED bead numbers according to the light emission sequence and the received light. Step 24: If light is present, define the corresponding LED bead number as the normal LED bead number; Step 25: If no light is received, define the corresponding LED number as the damaged LED number.

10. A fiber end face inspection system for fiber optic connectors, characterized in that, include: The acquisition module is used to acquire the detection device number; A memory for storing a program of a control method for detecting the end face of an optical fiber for an optical fiber connector as described in any one of claims 1 to 9; The processor loads and executes programs from memory.

Images