CN116183611B - Detection method and device of optical fiber connector detection integrated machine - Google Patents
Detection method and device of optical fiber connector detection integrated machine Download PDFInfo
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Abstract
The application relates to the technical field of optical fiber connector detection, in particular to a detection method and device of an optical fiber connector detection integrated machine. The method comprises the following steps: focusing the end face of the optical fiber connector, and acquiring a clear end face image; performing flaw detection on the end face image to obtain a flaw detection result; acquiring interference images of the optical fiber connectors based on four-step phase shift, and performing 3D interference detection to obtain a 3D interference detection result; performing fiber breakage detection on the optical fiber connector based on a fiber breakage judgment threshold value to obtain a fiber breakage detection result; and inputting the flaw detection result, the 3D interference detection result and the broken fiber detection result into a insertion loss detection model to obtain an insertion loss result. The utility model provides a disposable rate that can improve fiber connector based on standard requirement ensures single core fiber connector's supply speed to and reduce the cost of labor.
Description
Technical Field
The application relates to the technical field of optical fiber connector detection, in particular to a detection method and device of an optical fiber connector detection integrated machine.
Background
With the large-scale construction of global data centers, the demand of single-core optical fiber connectors (optical fiber jumpers) is rapidly increased, so that requirements are made on the quality and the cost of the single-core optical fiber connectors, and challenges are also made on the supply speed of the single-core optical fiber connectors.
Currently, in order to ensure that the quality of a single-core optical fiber connector can meet the standard requirement of a product, the test of the single-core optical fiber connector generally needs to undergo four process flows, which are in turn: the end face detection procedure I, the insertion return loss test procedure, the 3D interference detection procedure and the end face detection procedure II, each procedure is increased for one test device, corresponding test personnel are increased, labor cost is increased, different test devices are arranged to cause bad appearance of products, reworking is needed, the product is not high in one-time passing rate based on standard requirements, production efficiency of the single-core optical fiber connector is seriously affected, and the supply speed of the single-core optical fiber connector cannot be ensured.
Disclosure of Invention
In order to improve the disposable passing rate of the optical fiber connector based on standard requirements, ensure the supply speed of the single-core optical fiber connector and reduce the labor cost, the application provides a detection method of an optical fiber connector detection integrated machine and a detection device of the optical fiber connector detection integrated machine, and adopts the following technical scheme:
in a first aspect, an embodiment of the present application discloses a method for detecting an optical fiber connector detection integrated machine, including: focusing the end face of the optical fiber connector, and acquiring a clear end face image; performing flaw detection on the end face image to obtain a flaw detection result; acquiring interference images of the optical fiber connectors based on four-step phase shift, and performing 3D interference detection to obtain a 3D interference detection result; performing fiber breakage detection on the optical fiber connector based on a fiber breakage judgment threshold value to obtain a fiber breakage detection result; and inputting the flaw detection result, the 3D interference detection result and the broken fiber detection result into a insertion loss detection model to obtain an insertion loss result.
Through adopting above-mentioned technical scheme, through focusing to the terminal surface of optic fibre connector, can gather and obtain clear terminal surface image, through carrying out the flaw detection to the terminal surface image, can obtain the flaw detection result, through carrying out 3D interference detection to the interference image of optic fibre connector based on four-step phase shift collection optic fibre connector, can obtain the 3D interference detection result, through carrying out broken fiber detection to the optic fibre connector based on broken fiber judgement threshold value, can obtain the broken fiber detection result, finally through inputting flaw detection result, 3D interference detection result and broken fiber detection result into the back loss detection model, can obtain the back loss result of inserting, so can realize carrying out a plurality of detection processes in proper order through the all-in-one, can reduce the optic fibre connector and carry out the damage to the product outward appearance when different process tests because of changing test equipment, and then improve the optic fibre connector and based on the disposable rate of standard requirement, ensure single core optic fibre connector's supply speed, and reduce the cost of labor.
Optionally, focusing the end face of the optical fiber connector, collecting to obtain a clear end face image, including: focusing the end face of the optical fiber connector, and judging whether a preset image average gradient threshold value is met or not through an image average gradient algorithm; and when the end face image is satisfied, acquiring the clear end face image.
By adopting the technical scheme, the end face of the optical fiber connector is subjected to focusing, and the end face is subjected to calculation of an image average gradient algorithm during focusing, so that the end face can meet the preset image average gradient threshold after focusing, and a clear end face image can be obtained.
Optionally, the performing flaw detection on the end face image to obtain a flaw detection result includes: dividing the end face image into areas, and identifying and counting flaws in each area; and when the flaws in one area do not meet the flaw parameters of the corresponding area in the preset test specification, the flaw detection result is unqualified.
By adopting the technical scheme, the influence degree of flaws in different areas can be conveniently divided by dividing the areas of the end face image; and identifying and counting flaws of each region, comparing the flaws with flaw parameters of corresponding regions, judging whether each region meets the corresponding flaw parameters, and judging that flaw detection of the end face image is unqualified when one region does not meet the flaw parameters.
Optionally, the acquiring the interference image of the optical fiber connector based on the four-step phase shift performs 3D interference detection to obtain a 3D interference detection result, including: acquiring four interference images of the optical fiber connector based on the four-step phase shift to obtain a 3D structure of the end face of the optical fiber connector;
based on the 3D structure, obtaining an end curved surface of the optical fiber connector; comparing and calculating the end curved surface and the fitting curved surface to obtain optical fiber parameter information; judging whether the optical fiber parameter information meets the corresponding parameter information in the preset test specification or not to obtain the 3D interference detection result; when the detection result is not satisfied, the detection result of the 3D interference is unqualified; otherwise, the result is qualified.
By adopting the technical scheme, the 3D structure of the end face of the optical fiber connector can be obtained by acquiring four interference images of the optical fiber connector based on four-step phase shift, the end curved surface of the optical fiber connector can be obtained by the 3D structure, the optical fiber parameter information can be obtained by comparing and calculating the end curved surface and the fitting curved surface, and the result of whether the 3D interference detection is qualified can be obtained by judging whether the optical fiber parameter information meets the parameter information in the preset test specification.
Optionally, the detecting the fiber breakage of the optical fiber connector based on the fiber breakage judgment threshold value to obtain a fiber breakage detection result includes: calibrating the broken fiber judgment threshold value based on a standard optical fiber connector; and when the optical fiber connector does not meet the broken fiber judging threshold, the broken fiber detection result is broken fiber.
By adopting the technical scheme, the accuracy of subsequent judgment can be ensured by pre-calibrating the fiber breakage judgment threshold value, and whether the fiber connector is broken can be directly judged by judging whether the fiber breakage judgment threshold value is met or not.
Optionally, after the flaw detection result, the 3D interference detection result, and the fiber breakage detection result are input into the insertion loss detection model, the method further includes: and generating a detection report by the flaw detection result, the 3D interference detection result, the fiber breakage detection result and the insertion loss result.
By adopting the technical scheme, the flaw detection result, the 3D interference detection result, the fiber breakage detection result and the insertion loss result are all generated together to generate the detection report, so that detection personnel can conveniently check the detection result.
Optionally, before focusing the end face of the optical fiber connector and acquiring a clear end face image, the method further includes: and adjusting the angle of the optical fiber connector based on the end face type of the optical fiber connector.
By adopting the technical scheme, the angle of the optical fiber connector is adjusted based on the end face type of the optical fiber connector, so that the testing flexibility of the optical fiber connector based on different types can be improved.
Optionally, after the adjusting the angle of the optical fiber connector based on the end face type of the optical fiber connector, the method further includes: judging whether to trigger a photoelectric switch or not when adjusting the angle of the optical fiber connector; if yes, focusing fails.
By adopting the technical scheme, whether focusing is successful or not can be directly judged by judging whether the photoelectric switch is triggered or not when the angle of the optical fiber connector is adjusted.
In a second aspect, an embodiment of the present application discloses a detection apparatus of an optical fiber connector detection all-in-one machine, which is configured to execute a detection method of the optical fiber connector detection all-in-one machine disclosed in the above embodiment, including: the end face image acquisition module is used for focusing the end face of the optical fiber connector and acquiring a clear end face image; the flaw detection module is used for carrying out flaw detection on the end face image to obtain a flaw detection result; the 3D interference detection module is used for acquiring interference images of the optical fiber connector based on four-step phase shift to perform 3D interference detection so as to obtain a 3D interference detection result; the broken fiber detection module is used for carrying out broken fiber detection on the optical fiber connector based on a broken fiber judgment threshold value to obtain a broken fiber detection result; and the insertion return loss result acquisition module is used for inputting the flaw detection result, the 3D interference detection result and the broken fiber detection result into an insertion return loss detection model to obtain an insertion return loss result.
Optionally, the flaw detection module includes: dividing the end face image into areas, and identifying and counting flaws in each area; and when the flaws in one area do not meet the flaw parameters of the corresponding area in the preset test specification, the flaw detection result is unqualified.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of focusing the end face of the optical fiber connector, acquiring a clear end face image, carrying out flaw detection on the end face image, acquiring an interference image of the optical fiber connector based on four-step phase shift, carrying out 3D interference detection, acquiring a 3D interference detection result, carrying out fiber breakage detection on the optical fiber connector based on a fiber breakage judgment threshold value, finally inputting the flaw detection result, the 3D interference detection result and the fiber breakage detection result into a insertion return loss detection model, and acquiring an insertion return loss result, so that a plurality of detection procedures can be sequentially carried out through an integrated machine, damage to the appearance of a product when the optical fiber connector is tested in different procedures due to replacement of test equipment can be reduced, the one-time passing rate of the optical fiber connector based on standard requirements is improved, the supply speed of the single-core optical fiber connector is ensured, and the labor cost is reduced.
2. By focusing the end face of the optical fiber connector and calculating an image average gradient algorithm on the end face during focusing, the end face can be ensured to meet a preset image average gradient threshold after focusing, so that a clear end face image is obtained.
3. By dividing the area of the end face image, the influence degree of flaws in different areas can be conveniently divided; and identifying and counting flaws of each region, comparing the flaws with flaw parameters of corresponding regions, judging whether each region meets the corresponding flaw parameters, and judging that flaw detection of the end face image is unqualified when one region does not meet the flaw parameters.
Drawings
Fig. 1 is a schematic diagram of a detection integrated machine to which a detection method of an optical fiber connector detection integrated machine according to an embodiment of the present disclosure is applied;
FIG. 2 is a schematic flow chart of a method for detecting an optical fiber connector detection integrated machine according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a display interface of an upper computer in the detection all-in-one machine;
FIG. 4 is a schematic diagram illustrating flaw detection performed in a detection method of an optical fiber connector detection all-in-one machine according to an embodiment of the present disclosure;
FIG. 5 is an illustration of an interference pattern based on four-step phase shift acquisition in a method for detecting an optical fiber connector inspection integrated machine according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram illustrating 3D interference detection performed in a detection method of an optical fiber connector detection all-in-one machine according to an embodiment of the present disclosure;
FIG. 7 is a schematic diagram of a detection report generated by a method for detecting an optical fiber connector integrated machine according to an embodiment of the present disclosure;
FIG. 8 is a flow chart of a method for detecting an optical fiber connector detection integrated machine according to an embodiment of the present disclosure;
fig. 9 is a schematic diagram of a detection device of an optical fiber connector detection integrated machine according to another embodiment of the present disclosure.
Detailed Description
The terminology used in the following embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates to the contrary. It should also be understood that the term "and/or" as used in this application refers to and encompasses any or all possible combinations of one or more of the listed items.
The terms "first," "second," "third," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", or a third "may explicitly or implicitly include one or more such feature, and in the description of embodiments of the present application, unless otherwise indicated, the meaning of" a plurality "is two or more.
In the related art, the testing procedure flow of the single-core optical fiber connector is more, each procedure is increased for one testing device, the corresponding testing personnel are increased, the labor cost is increased, and the phenomenon that different testing devices can cause bad appearance of products and need reworking is also existed, so that the disposable passing rate of the products based on standard requirements is not high, the production efficiency of the single-core optical fiber connector is seriously affected, and the supply speed of the single-core optical fiber connector cannot be ensured.
Therefore, in order to solve the technical problem, the application discloses a detection method of an optical fiber connector detection integrated machine, which can improve the disposable passing rate of the optical fiber connector based on standard requirements, ensure the supply speed of the single-core optical fiber connector and reduce the labor cost.
The following describes the technical scheme of the embodiments of the present application in detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a detection integrated machine applied to a detection method of an optical fiber connector detection integrated machine disclosed in an embodiment of the present application, where the detection integrated machine includes an upper computer, an optical fiber connector testing device and an optical fiber connector to be detected, the optical fiber connector testing device is connected to the upper computer, and a fixture for clamping the optical fiber connector to be detected is disposed on the optical fiber connector testing device, so that a tester can conveniently insert the optical fiber connector to be tested onto the fixture of the optical fiber connector testing device, and then operate the upper computer to start a testing procedure.
Fig. 2 is a flow chart of a detection method of an optical fiber connector detection integrated machine in an embodiment of the application, which specifically includes the following steps:
s10, focusing the end face of the optical fiber connector, and acquiring a clear end face image;
the step is that a tester inserts the optical fiber connector on the detection integrated machine, and starts the upper computer to start the test, as shown in fig. 3, the tester can check the end face detection, interference detection, end face + interference + fiber breakage displayed by the upper corner in fig. 3, when checking the end face detection, the end face of the optical fiber connector is automatically focused, and after the self focusing, the image is acquired, so that a clear end face image is acquired. In the description, when the end face + interference + fiber breakage test is checked, the end face detection, the interference detection and the fiber breakage detection are sequentially performed, and particularly, how to check can be flexibly selected by a tester.
S20, performing flaw detection on the end face image to obtain a flaw detection result;
the flaw detection is, for example, to detect whether there is an end face scratch, an end face white/black spot, an end face crack/crack, a core peripheral focal circle, or the like, thereby determining whether the end face quality of the optical fiber connector is acceptable.
S30, acquiring interference images of the optical fiber connectors based on four-step phase shift, and performing 3D interference detection to obtain a 3D interference detection result;
in this embodiment, four sets of projection structured light are used to realize phase shift of each point in the camera to capture a corresponding image, so as to construct a 3D structure, i.e., a three-dimensional image, of the end face of the optical fiber connector. As shown in fig. 5, four interference images of the fiber optic connector end face are acquired based on the four-step phase shift principle. The four-step phase shift principle is described in the related art, and will not be described in detail herein.
S40, performing fiber breakage detection on the optical fiber connector based on a fiber breakage judgment threshold value to obtain a fiber breakage detection result;
the fiber breakage judgment threshold value can be set by a tester, and can also be automatically set based on a tested standard optical fiber connector. The fiber breakage detection result can be "NG" (representing fiber breakage) and "PASS" (representing fiber breakage).
S50, inputting the flaw detection result, the 3D interference detection result and the fiber breakage detection result into a insertion loss detection model to obtain an insertion loss result;
the insertion loss detection model is an insertion loss detection neural network module, and predicts whether the insertion loss test of the optical fiber is qualified or not according to the end face flaw detection, the 3D interference detection and the fiber breakage detection.
In another embodiment, step S10 includes:
s11, focusing is carried out on the end face of the optical fiber connector, and whether a preset image average gradient threshold value is met or not is judged through an image average gradient algorithm;
the image average gradient algorithm is used for calculating the definition of the image so as to describe the definition degree of the image and reflect the detail contrast degree and texture change characteristics of the image, wherein when the average gradient value is larger, the image is clearer, and the fusion effect is better. The preset image average gradient threshold value can be preset by a tester according to actual requirements.
S12, acquiring a clear end face image when the end face image is satisfied; otherwise, continuing to execute the step S11;
when not satisfied, the continuing step S11 may ensure the sharpness of the acquired image.
In another embodiment, step S20 includes:
s21, dividing the end face image into areas, and identifying and counting flaws in each area;
as shown in fig. 4, in this embodiment, the end face may be divided into a region a, a region B, a region C and a region D, and when a flaw appears in different regions, the degree of influence is different, if a flaw appears in the region a, the quality may be directly judged to be unqualified, and when a flaw appears in the region D, the occurrence of 3 of less than or equal to 2um may be allowed, which may be specifically referred to the table shown in fig. 4 a. Wherein, fig. 4b shows the collected end face image, fig. 4C shows the flaws marked after the end face image is divided into areas, fig. 4d shows statistics of flaws of each area of the end face image, wherein, the area C is not shown in the table, and the result shown in fig. 4d does not correspond to the opposite end face image shown in fig. 4C, but is only shown schematically.
S22, when the flaws in a region do not meet the flaw parameters of the corresponding region in the preset test specification, the flaw detection result is unqualified.
If there is a region defect that does not satisfy the setting shown in fig. 4a (the defect parameter of the corresponding region in the preset test specification), the defect detection result can be directly determined as failed.
In another embodiment, step S30 includes:
s31, acquiring four interference images of the optical fiber connector based on four-step phase shift to obtain a 3D structure of the end face of the optical fiber connector;
referring to fig. 5, to take advantage of the four-step phase shift, four interferograms a-D are acquired, from which a three-dimensional image of the fiber optic connector, i.e., a 3D structure, can be constructed.
S32, obtaining an end curved surface of the optical fiber connector based on the 3D structure;
referring to fig. 6, an interface diagram of the 3D interference detection is shown in fig. 6a, which shows an interference image of an end face, and fig. 6b, which shows an end surface obtained based on a 3D structure.
In this embodiment, the cross-sectional curve in the X-axis direction and the cross-sectional curve in the Y-axis direction of the end surface of the optical fiber connector corresponding to the end surface can be obtained from the end surface, as shown in fig. 6c, which is a comparison diagram of the cross-sectional curve in the X-axis direction and the fitted curve, and fig. 6d, which is a comparison diagram of the cross-sectional curve in the Y-axis direction and the fitted curve, so as to be displayed to a tester, so that the tester can conveniently determine the end surface condition of the optical fiber connector currently tested.
S33, comparing and calculating the end curved surface and the fitting curved surface to obtain optical fiber parameter information;
referring to fig. 6e, for the obtained fiber parameter information, the fiber parameter information includes a curved surface radius, a vertex shift, a fiber height, etc., which can be specifically shown in fig. 6 e. The fitting curved surface can be generated by a preset fitting algorithm.
S34, judging whether the optical fiber parameter information meets the corresponding parameter information in the preset test specification or not, and obtaining a 3D interference detection result;
referring to fig. 6e, the minimum value and the maximum value are shown as corresponding parameter information in a preset test specification, so as to determine whether the parameter information of the optical fiber falls between the minimum value and the maximum value.
S35, if the detection result is not satisfied, the detection result of the 3D interference is unqualified; otherwise, the result is qualified.
When the parameter information is not satisfied, the corresponding parameter test is failed, the corresponding display is 'NG', and when the parameter information is satisfied, the corresponding parameter test is qualified, and the corresponding display is 'pass'.
In another embodiment, step S40 includes:
s41, calibrating a broken fiber judgment threshold value based on a standard optical fiber connector;
the method comprises the steps of calibrating a fiber breakage judgment threshold value based on a standard optical fiber connector, ensuring the accuracy of a subsequent test result, and enabling the fiber breakage judgment threshold value to be set autonomously by a tester so as to increase the operation flexibility.
S42, when the optical fiber connector does not meet the broken fiber judging threshold, the broken fiber detecting result is broken fiber.
In another embodiment, after step S50, further includes:
s60, generating a detection report by using the flaw detection result, the 3D interference detection result, the fiber breakage detection result and the insertion loss result;
referring to fig. 7, for the detection report displayed on the upper computer, the test result of the optical fiber connector can be more intuitively checked by the tester to evaluate the quality of the detected optical fiber connector.
In another embodiment, before step S10, the method further includes:
s01, adjusting the angle of the optical fiber connector based on the end face type of the optical fiber connector;
the end face type can comprise PC and APC type, when the end face is of APC type, the angle of the optical fiber connector needs to be adjusted, and the angle motor can be controlled by the MCU to adjust the angle of 8 degrees.
In another embodiment, after step S01, the method further includes:
s02, judging whether to trigger the photoelectric switch when adjusting the angle of the optical fiber connector;
s03, if yes, focusing fails.
The optical fiber connector comprises a first optical fiber connector, a second optical fiber connector, a third optical fiber connector, a fourth optical fiber connector, a third optical fiber connector, a fourth optical fiber connector and a fourth optical fiber connector.
In order to better understand the detection method of the optical fiber connector detection integrated machine disclosed in the present application, please refer to the flow shown in fig. 8, specifically as follows:
step S80, start detection execution step S81.
Step S81, turning on the light source, inserting the optical fiber connector, and executing step S82.
Wherein the coherence length of the light source turned on here may be 4.7 microns to facilitate insertion of the optical fiber connector by a tester.
Step S82, judging whether to adjust the angle of the optical fiber connector, if so, executing step S83; if not, step S84 is performed.
The fiber end face type may include PC and APC types, and when the end face is of the APC type, the angle of the fiber connector needs to be adjusted.
Step S83, adjusting the angle of the optical fiber connector by an angle motor, and executing step S84.
Wherein, the angle motor can be controlled by MCU to adjust 8 degrees.
Step S84, self-focusing is started, a focusing motor controls a displacement platform, and step S85 is executed.
The MCU controls the displacement table to move through the focusing motor, and adjusts the distance between the objective lens and the end face of the optical fiber.
Step S85, judging whether focusing is completed, if yes, executing step S86; if not, step S84 is performed.
Step S86, end face detection is started, an image is acquired, and step S87 is executed.
The image acquired in the step is an optical fiber end face image with focusing completed.
Step S87, judging whether 3D detection is carried out, if so, executing step S90; if not, step S88 is performed.
Step S88, the upper computer processes and outputs a report, and step S89 is executed.
The test staff can intuitively know the detection result by outputting a report on the upper computer.
Step S89, the loss prediction is inserted back and a report is output, and step S102 is executed.
Step S90, the liquid crystal panel is energized, and step S91 is performed.
The MCU controls the electrifying of the liquid crystal panel, and the liquid crystal panel becomes transparent after electrifying because an optical path structure needs to be added during the 3D interference detection.
Step S91, switching the light source, and executing step S92.
The light source required by the 3D interference detection is different from the end face detection, and the light source required by the 3D interference detection can be 22.5 micrometers so as to collect a clear optical fiber diagram.
Step S92, an image is acquired, and step S93 is executed.
The method comprises the steps of acquiring an optical fiber image by adopting four-step phase shift to construct a 3D structure image of the optical fiber connector.
Step S93, starting 3D interference detection, and executing step S94.
The 3D structure image can detect 3D structure information of the optical fiber connector, such as parameters of an optical fiber curvature radius, a vertex shift, an optical fiber height and the like, so as to determine whether the optical fiber 3D interference detection is qualified.
Step S94, judging whether to perform fiber breakage detection, if yes, executing step S96; if not, step S95 is performed.
Wherein, whether to perform the fiber breakage detection can be selected by a tester in advance or when performing the step.
Step S95, the upper computer processes and outputs a report, and step S89 is executed.
The test staff can intuitively know the detection result by outputting a report on the upper computer.
Step S96, switching the light source, and executing step S97.
The switching light source in the step is switched into a light source emitted by the laser diode so as to increase the brightness of the light source.
Step S97, judging whether to perform fiber breakage calibration, and executing step S98.
Whether the broken fiber is calibrated is judged, and a tester can set according to whether the broken fiber is calibrated before.
Step S98, inserting a standard optical fiber connector for calibration, and executing step S99.
The fiber breakage judgment threshold value can be corrected again by calibrating the standard optical fiber connector.
Step S99, inserting the optical fiber connector to be tested, and executing step S100.
Step S100, start fiber breakage detection, and execute step S101.
Step S101, the upper computer processes and outputs a report, and step S89 is executed.
The test staff can intuitively know the detection result by outputting a report on the upper computer.
Step S102, ending the detection.
Referring to fig. 9, another embodiment of the present application further discloses a detection device of an optical fiber connector detection all-in-one machine, which is used for executing the detection method of the optical fiber connector detection all-in-one machine disclosed in the first embodiment. The apparatus 900 includes: the device comprises an end face image acquisition module 910, a flaw detection module 920, a 3D interference detection module 930, a broken fiber detection module 940 and a insertion loss result acquisition module 950.
The end face image acquisition module 910 is configured to focus on an end face of the optical fiber connector, and acquire a clear end face image; the flaw detection module 920 is configured to perform flaw detection on the end surface image to obtain a flaw detection result; the 3D interference detection module 930 is configured to acquire an interference image of the optical fiber connector based on the four-step phase shift, perform 3D interference detection, and obtain a 3D interference detection result; the broken fiber detection module 940 is configured to perform broken fiber detection on the optical fiber connector based on a broken fiber judgment threshold value, so as to obtain a broken fiber detection result; the insertion loss result obtaining module 950 is configured to input the flaw detection result, the 3D interference detection result, and the fiber breakage detection result into the insertion loss detection model, so as to obtain an insertion loss result.
Further, the flaw detection module 920 includes: dividing the end face image into areas, and identifying and counting flaws in each area; and when the flaws in one area do not meet the flaw parameters of the corresponding area in the preset test specification, the flaw detection result is unqualified.
The detection device of the optical fiber connector detection integrated machine disclosed in this embodiment, and the detection method of the optical fiber connector detection integrated machine implemented in this embodiment are as described in the above embodiments, and therefore will not be described in detail herein. Alternatively, each module in the present embodiment and the other operations or functions described above are respectively for realizing the method in the foregoing embodiment.
In another embodiment of the present application, a computer-readable storage medium is disclosed. The computer readable storage medium is, for example, a nonvolatile memory, such as: magnetic media (e.g., hard disk, floppy disk, and magnetic strips), optical media (e.g., CDROM disks and DVDs), magneto-optical media (e.g., optical disks), and hardware devices that are specially constructed for storing and performing computer-executable instructions (e.g., read-only memory (ROM), random Access Memory (RAM), flash memory, etc.). The computer-readable storage medium has a computer program stored thereon. The computer readable storage medium may be executable by one or more processors or processing means to implement the method of obtaining an authorization code for an application by cryptographically compiling a web page in the foregoing embodiments.
In addition, it should be understood that the foregoing embodiments are merely exemplary illustrations of the present invention, and the technical solutions of the embodiments may be arbitrarily combined and matched without conflict in technical features, contradiction in structure, and departure from the purpose of the present invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed method, system and apparatus may be implemented in other manners. For example, the modules included in the systems described above are merely illustrative, the division of modules is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit/module in the embodiments of the present invention may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules may be implemented in hardware or in hardware plus software functional units/modules.
The integrated units/modules implemented in the form of software functional units/modules described above may be stored in a computer readable storage medium. The software functional units described above are stored in a storage medium and include instructions for causing one or more processors of a computer device (which may be a personal computer, a server, or a network device, etc.) to perform some steps of the methods described in the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. The detection method of the optical fiber connector detection all-in-one machine is characterized by comprising the following steps of:
focusing the end face of the optical fiber connector, and acquiring a clear end face image;
performing flaw detection on the end face image to obtain a flaw detection result;
acquiring interference images of the optical fiber connectors based on four-step phase shift, and performing 3D interference detection to obtain a 3D interference detection result;
performing fiber breakage detection on the optical fiber connector based on a fiber breakage judgment threshold value to obtain a fiber breakage detection result;
inputting the flaw detection result, the 3D interference detection result and the broken fiber detection result into a insertion loss detection model to obtain an insertion loss result;
performing flaw detection on the end face image to obtain a flaw detection result, wherein the flaw detection result comprises the following steps:
dividing the end face image into areas, and identifying and counting flaws in each area;
when flaws in a region do not meet flaw parameters of a corresponding region in a preset test specification, the flaw detection result is unqualified;
the four-step phase shift-based acquisition of interference images of the optical fiber connector is used for 3D interference detection to obtain a 3D interference detection result, and the method comprises the following steps:
acquiring four interference images of the optical fiber connector based on the four-step phase shift to obtain a 3D structure of the end face of the optical fiber connector;
based on the 3D structure, obtaining an end curved surface of the optical fiber connector;
comparing and calculating the end curved surface and the fitting curved surface to obtain optical fiber parameter information;
judging whether the optical fiber parameter information meets the corresponding parameter information in the preset test specification or not to obtain the 3D interference detection result;
when the detection result is not satisfied, the detection result of the 3D interference is unqualified; otherwise, the result is qualified.
2. The method for detecting an optical fiber connector according to claim 1, wherein focusing the end face of the optical fiber connector, and acquiring a clear end face image, comprises:
focusing the end face of the optical fiber connector, and judging whether a preset image average gradient threshold value is met or not through an image average gradient algorithm;
and when the end face image is satisfied, acquiring the clear end face image.
3. The method for detecting an optical fiber connector according to claim 1, wherein the detecting the optical fiber connector based on the broken fiber determination threshold value to obtain a broken fiber detection result includes:
calibrating the broken fiber judgment threshold value based on a standard optical fiber connector;
and when the optical fiber connector does not meet the broken fiber judging threshold, the broken fiber detection result is broken fiber.
4. The method according to claim 1, wherein after the flaw detection result, the 3D interference detection result, and the fiber breakage detection result are input into a insertion loss detection model, the method further comprises:
and generating a detection report by the flaw detection result, the 3D interference detection result, the fiber breakage detection result and the insertion loss result.
5. The method according to claim 1, wherein before focusing the end face of the optical fiber connector and acquiring a clear end face image, further comprising:
and adjusting the angle of the optical fiber connector based on the end face type of the optical fiber connector.
6. The method according to claim 5, further comprising, after the adjusting the angle of the optical fiber connector based on the type of the end face of the optical fiber connector:
judging whether to trigger a photoelectric switch or not when adjusting the angle of the optical fiber connector;
if yes, focusing fails.
7. A detection apparatus of an optical fiber connector detection integrated machine for performing the detection method of an optical fiber connector detection integrated machine according to any one of claims 1 to 6, characterized by comprising:
the end face image acquisition module is used for focusing the end face of the optical fiber connector and acquiring a clear end face image;
the flaw detection module is used for carrying out flaw detection on the end face image to obtain a flaw detection result;
the 3D interference detection module is used for acquiring interference images of the optical fiber connector based on four-step phase shift to perform 3D interference detection so as to obtain a 3D interference detection result;
the broken fiber detection module is used for carrying out broken fiber detection on the optical fiber connector based on a broken fiber judgment threshold value to obtain a broken fiber detection result; and the insertion return loss result acquisition module is used for inputting the flaw detection result, the 3D interference detection result and the broken fiber detection result into an insertion return loss detection model to obtain an insertion return loss result.
8. The optical fiber connector inspection all-in-one inspection device according to claim 7, wherein the flaw detection module comprises:
dividing the end face image into areas, and identifying and counting flaws in each area;
and when the flaws in one area do not meet the flaw parameters of the corresponding area in the preset test specification, the flaw detection result is unqualified.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05118831A (en) * | 1991-10-25 | 1993-05-14 | Sankyo Seiki Mfg Co Ltd | End-face inspecting apparatus for optical connector |
| US5671049A (en) * | 1995-04-27 | 1997-09-23 | Lucent Technologies Inc. | System and method for contactlessly and automatically determining the return loss of an optical fiber connector |
| CN2777487Y (en) * | 2005-02-23 | 2006-05-03 | 南昌航空工业学院 | Instrument for testing end of optical fiber connector |
| US8306760B1 (en) * | 2008-06-20 | 2012-11-06 | Promet International, Inc. | Defect detection on optical fiber specimen using 3D surface data |
| CN113189716A (en) * | 2021-05-07 | 2021-07-30 | 四川天邑康和通信股份有限公司 | Integrated end face intelligent self-checking system based on MPO optical fiber connector |
-
2023
- 2023-01-05 CN CN202310011170.9A patent/CN116183611B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05118831A (en) * | 1991-10-25 | 1993-05-14 | Sankyo Seiki Mfg Co Ltd | End-face inspecting apparatus for optical connector |
| US5671049A (en) * | 1995-04-27 | 1997-09-23 | Lucent Technologies Inc. | System and method for contactlessly and automatically determining the return loss of an optical fiber connector |
| CN2777487Y (en) * | 2005-02-23 | 2006-05-03 | 南昌航空工业学院 | Instrument for testing end of optical fiber connector |
| US8306760B1 (en) * | 2008-06-20 | 2012-11-06 | Promet International, Inc. | Defect detection on optical fiber specimen using 3D surface data |
| CN113189716A (en) * | 2021-05-07 | 2021-07-30 | 四川天邑康和通信股份有限公司 | Integrated end face intelligent self-checking system based on MPO optical fiber connector |
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