Multi-dimensional quality detection method for optical fiber head locking joint

Abstract

The invention provides a multi-dimensional quality detection method for an optical fiber head locking joint, and relates to the technical field of quality detection, and the method comprises the steps: obtaining a joint three-dimensional model of a target joint; component detection is carried out, and a component three-dimensional model is constructed; in combination with the accessed three-dimensional model, simulation locking fixation and specification matching analysis are carried out, and a simulation locking result and specification quality information are obtained; based on the simulation locking result, determining a plurality of contact points, screening a plurality of locking deformation points and deformation information of the plurality of locking points, and obtaining component information of the plurality of locking points; performing locking stability analysis and locking health analysis to obtain locking stability information and locking health information; and matching to obtain a quality detection result according to the specification quality information, the locking stability information and the locking health information. According to the invention, the technical problem that the working stability of the connector is further influenced due to poor accuracy of evaluating the locking performance of the connector in the prior art can be solved, and the technical effect of improving the working stability of the connector is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of quality detection, and in particular to a multi-dimensional quality detection method for optical fiber head locking connectors. Background Art

[0002] Fiber optic connector quality inspection refers to the process of testing and analyzing fiber optic connectors to ensure that they meet design specifications, performance requirements and safety standards.

[0003] At present, the existing optical fiber head locking connector has a low accuracy in judging whether the geometric shape of the connector after locking meets the requirements, which affects the matching degree with the optical fiber or other components, resulting in poor connector access performance, which will have a serious impact on the connector access performance and working stability, and may bring potential safety risks and increase maintenance costs. Therefore, a method is needed to solve the above problems.

[0004] In summary, there are technical problems in the prior art because most of them do not analyze the locking stability and locking health of the optical fiber head locking connector through the deformation information and composition information, which may result in the inability to accurately evaluate the locking performance of the connector, resulting in poor working stability of the connector, which further affects the working stability of the connector. Summary of the invention

[0005] The purpose of this application is to provide a multi-dimensional quality detection method for optical fiber head locking joints, in order to solve the technical problem in the prior art that most of the deformation information and composition information of the optical fiber head locking joints are not used to analyze the locking stability and locking health, etc., which may result in the inability to accurately evaluate the locking performance of the joint, resulting in poor working stability of the joint, which further affects the working stability of the joint.

[0006] In view of the above problems, the present application provides a multi-dimensional quality detection method for an optical fiber head locking connector.

[0007] The present application provides a multi-dimensional quality detection method for an optical fiber head locking joint, the method comprising: performing a three-dimensional scanning detection on a target joint to obtain a joint three-dimensional model of the target joint, the target joint being an optical fiber head locking joint, comprising a base part and a locking part, the joint three-dimensional model comprising a base part three-dimensional model and a locking part three-dimensional model; performing component detection on the target joint, marking the joint three-dimensional model, and constructing a component three-dimensional model; based on the joint three-dimensional model, combined with an access three-dimensional model of an access position, performing simulated locking and fixing and specification matching analysis to obtain a simulated locking result and specification quality information; based on the simulated locking result, determining and obtaining a plurality of contact points in the component three-dimensional model, and screening out a plurality of locking deformation points and a plurality of locking point deformation information, and obtaining a plurality of locking point component information based on the plurality of locking deformation point indexes; performing a locking stability analysis and a locking health analysis based on the plurality of locking deformation points, the plurality of locking point deformation information and the plurality of locking point component information to obtain locking stability information and locking health information of the locking part; matching and obtaining the quality detection result of the target joint based on the specification quality information, the locking stability information and the locking health information.

[0008] The technical solution provided in this application has at least the following technical effects or advantages: The target joint is subjected to three-dimensional scanning detection to obtain a joint three-dimensional model of the target joint, wherein the target joint is a fiber head locking joint, including a base part and a locking part, and the joint three-dimensional model includes a base part three-dimensional model and a locking part three-dimensional model; the target joint is subjected to component detection, the joint three-dimensional model is marked, and a component three-dimensional model is constructed; based on the joint three-dimensional model, combined with the access three-dimensional model of the access position, simulated locking and fixing and specification matching analysis are performed to obtain simulated locking results and specification quality information; based on the simulated locking results, multiple contact points are determined in the component three-dimensional model, and multiple locking deformation points and multiple locking deformation points are screened out. point deformation information, and obtain multiple locking point component information based on the multiple locking deformation point indexes; perform locking stability analysis and locking health analysis according to the multiple locking deformation points, the multiple locking point deformation information and the multiple locking point component information, and obtain the locking stability information and locking health information of the locking part; according to the specification quality information, the locking stability information and the locking health information, match and obtain the quality inspection result of the target joint, that is, through the deformation information and component information of the optical fiber head locking joint, the locking stability and locking health are analyzed, and finally the technical goal of improving the accuracy of evaluating the locking performance of the joint is achieved, and the technical effect of improving the working stability of the joint is achieved.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 A schematic diagram of the process of the multi-dimensional quality detection method of the optical fiber head locking connector of the present application; Figure 2 It is a schematic diagram of the process of obtaining a three-dimensional model of components in the multi-dimensional quality detection method of the optical fiber head locking connector of the present application. DETAILED DESCRIPTION

[0012] This application provides a multi-dimensional quality detection method for optical fiber head locking joints, which solves the technical problem that the locking performance of the joint may not be accurately evaluated, resulting in poor working stability of the joint, and further affecting the working stability of the joint, because most of the deformation information and component information of the optical fiber head locking joints are not used to analyze the locking stability and locking health of the joints in the prior art. The technical goal of improving the accuracy of evaluating the locking performance of the joint is achieved, and the technical effect of improving the working stability of the joint is achieved.

[0013] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0014] Embodiment 1 Please refer to the attached Figure 1 The present application provides a multi-dimensional quality detection method for an optical fiber head locking connector, the method specifically comprising the following steps: Step 1: Perform three-dimensional scanning detection on the target joint to obtain a joint three-dimensional model of the target joint, wherein the target joint is an optical fiber head locking joint, including a base part and a locking part, and the joint three-dimensional model includes a base part three-dimensional model and a locking part three-dimensional model; Specifically, the fiber head locking joint refers to the joint inserted into the end of the fiber optic network cable of the router. The target joint refers to the fiber head locking joint to be subjected to multi-dimensional quality inspection. The target joint includes a base part and a locking part. The base part refers to the main part of the joint, and the locking part refers to the part of the joint that is used to fix the buckle. Use a 3D scanner to perform an all-round scan of the target joint, import the scanned data, obtain the structural characteristics of the target joint, divide the data into the base part and the locking part, and perform 3D modeling respectively to obtain a 3D model of the base part and a 3D model of the locking part, and combine and construct to obtain a 3D model of the joint.

[0015] Step 2: Detect the components of the target joint, mark the three-dimensional model of the joint, and construct a three-dimensional component model; Specifically, the target joint is subjected to plastic composition analysis to obtain the composition of multiple positions. For example, the plastic is obtained to be uneven, containing an uneven structure such as a rigid molecular chain, or having impurities. The target joint is subjected to three-dimensional modeling to obtain a three-dimensional joint model, and multiple positions are marked in the three-dimensional model to obtain a three-dimensional component model.

[0016] Step 3: Based on the three-dimensional model of the joint and in combination with the access three-dimensional model of the access position, simulated locking and fixing and specification matching analysis are performed to obtain simulated locking results and specification quality information; Specifically, the access 3D model refers to the 3D model of the location where the network cable is inserted. For example, the 3D model of the interface on the router. For example, simulated locking and fixing refers to the simulated insertion of the connector through 3D animation technology to obtain the simulated locking result. Specification matching analysis refers to the matching of the dimensional specifications of the target connector and the access location by analyzing the 3D model. Among them, due to production errors, the target connector produced may have dimensional errors, resulting in reduced matching, so the matching deviation is obtained as specification quality information.

[0017] Step 4: Based on the simulated locking result, multiple contact points are determined in the component three-dimensional model, and multiple locking deformation points and multiple locking point deformation information are screened out, and multiple locking point component information is obtained based on the multiple locking deformation point indexes; Specifically, according to the results of the simulated locking and fixing, multiple contact points between the target connector and the access interface during the access process are obtained, and multiple locking deformation points of the locking part are obtained. The target connector is fixed in the access interface through buckle deformation, and then multiple locking point deformation information and multiple locking point component information are obtained.

[0018] Step 5: performing locking stability analysis and locking health analysis according to the multiple locking deformation points, the multiple locking point deformation information and the multiple locking point component information to obtain locking stability information and locking health information of the locking part; Specifically, due to the error in the target joint size specification, the actual deformation contact point may change during connection. According to the actual deformation point position, deformation and composition, the stability after connection and the health information of the locking part are analyzed to obtain the locking stability information and locking health information of the locking part for analyzing the joint quality. For example, the stability includes the probability of the joint falling off. The health information of the locking part includes the probability of excessive deformation of the deformation part and the probability of fracture due to brittle composition.

[0019] Step six: According to the specification quality information, locking stability information and locking health information, match and obtain the quality inspection result of the target joint.

[0020] Specifically, the quality inspection results of historical time are matched according to the specification quality information, locking stability information and locking health information of the target joint, which is used as the quality inspection result of the target joint.

[0021] The multi-dimensional quality detection method of the optical fiber head locking connector can achieve the technical goal of improving the accuracy of evaluating the locking performance of the connector and achieve the technical effect of improving the working stability of the connector.

[0022] Furthermore, the present application also includes the following steps: Selecting a plurality of key positions on the target joint, wherein the plurality of key positions include connection positions and edge positions; Performing component detection on the multiple key positions to obtain component information of multiple positions; The component three-dimensional model is obtained by using the component information of the plurality of positions to mark a plurality of key positions on the three-dimensional model of the joint, and performing interpolation marking on other plurality of positions.

[0023] Specifically, if Figure 2 As shown in the figure, the connection position is the position where the target joint is connected to other components. The material composition of the connection position is crucial to the performance and reliability of the target joint. Therefore, it is necessary to select multiple points at the connection of the target joint as key positions. The edge position is the boundary position of the target joint. The edge position may be affected by factors such as stress concentration and wear, so it is also a key position for component detection. The key position is obtained by combining the connection position and the edge position.

[0024] Then, component detection is performed on multiple key positions, for example, by using component detection methods such as energy spectrum analysis and X-ray diffraction to obtain component information of multiple positions.

[0025] Next, multiple position component information is used to mark the corresponding positions of the connection positions and edge positions in the key positions on the joint three-dimensional model. For example, the mark can be a color, label or texture to represent the specific component of the position. Furthermore, for other positions where component detection is not performed, an interpolation method is used for marking. Among them, based on the known key position component information, an interpolation algorithm, such as linear interpolation, spline interpolation, etc., is used to estimate the components of other positions and mark them on the three-dimensional model. The markings of the key positions and the interpolation markings of other positions are integrated into the three-dimensional model to obtain a component three-dimensional model.

[0026] By obtaining a three-dimensional model of the fiber optic head locking connector, further component distribution information is obtained, providing strong support for the comprehensive analysis and optimization of the target connector.

[0027] Furthermore, the present application also includes the following steps: Obtaining an access three-dimensional model of the access location; According to the joint three-dimensional model combined with the access three-dimensional model, simulated locking and fixing movement is performed to obtain a simulated locking result, wherein the simulated locking result includes a plurality of contact points between the base part three-dimensional model and the locking part three-dimensional model and the access three-dimensional model; A specification matching analysis is performed based on the joint three-dimensional model and the access three-dimensional model to obtain specification quality information of the target joint.

[0028] Specifically, the access three-dimensional model refers to a location where a network cable is inserted. For example, the access three-dimensional model is a three-dimensional model of an interface on a router. The access three-dimensional model of the access location is obtained.

[0029] Then, import the joint 3D model and the access 3D model into the simulation software to ensure that the spatial position relationship between the two is correct. According to actual needs, set the relevant parameters for simulating locking and fixing movement, such as locking force, moving speed, moving distance, etc. Start the simulation and observe the interaction between the joint 3D model and the access 3D model during the simulation of locking and fixing movement. The simulation of the joint 3D model includes the 3D model of the base part and the locking part. During the 3D model simulation, the information of multiple contact points between the 3D model of the base part and the 3D model of the locking part and the access 3D model is recorded to evaluate the locking effect and quality.

[0030] Next, the joint 3D model is compared with the access 3D model. For example, the size and shape are compared to see if they match. The comparison deviation information is obtained as the specification quality information of the target joint.

[0031] By obtaining the matching situation, locking effect and specification quality information between the fiber optic head locking connector and the access component, it provides strong support for product optimization and upgrading.

[0032] Furthermore, the present application also includes the following steps: Based on the detection data record of the optical fiber head locking joint, a sample joint three-dimensional model set is obtained, and the specification deviation is evaluated in combination with the access three-dimensional model to obtain a sample specification quality information set; The sample joint three-dimensional model set and the sample specification quality information set are used to construct a specification matching analysis model, and specification matching analysis is performed on the joint three-dimensional model and the access three-dimensional model to obtain the specification quality information.

[0033] Specifically, according to the detection data records in the historical events of the optical fiber head locking joint, the joint three-dimensional models of multiple samples are extracted to form a set of sample joint three-dimensional models. For each sample joint three-dimensional model, the specification deviation is evaluated in combination with the access three-dimensional model. For example, the evaluation indicators may include size deviation, shape deviation, fitting clearance, etc., which are used to reflect the degree of matching between the sample joint and the access component. The specification deviation evaluation results of each sample joint are integrated to obtain a sample specification quality information set.

[0034] Then, a machine learning algorithm, a deep learning algorithm, etc. are used to train the sample joint three-dimensional model set and the sample specification quality information set as sample input data to construct a specification matching analysis model. The sample input data is divided into sample training data and sample verification data. Among them, the division ratio is obtained by a technician in this field according to the actual situation. For example, the division ratio of sample training data to sample verification data is 7:3. The specification matching analysis model is trained with sample training data. If the output of the specification matching analysis model tends to be stable, the specification matching analysis model is verified with sample verification data. When the output accuracy of the specification matching analysis model meets the output accuracy threshold of the specification matching analysis model, the training of the specification matching analysis model is completed. Among them, the output accuracy threshold of the specification matching analysis model is obtained by a technician in this field according to the actual situation. For example, the output accuracy threshold of the specification matching analysis model is 80%. The specification matching analysis is performed on the joint three-dimensional model and the access three-dimensional model input specification matching analysis model to obtain the specification quality information of the target joint.

[0035] By building a specification matching analysis model, the specification quality of the fiber optic head locking connector can be evaluated more accurately, providing strong support for product quality control and improvement.

[0036] Furthermore, the present application also includes the following steps: Based on the multiple contact points between the base part three-dimensional model and the locking part three-dimensional model and the access three-dimensional model in the simulation locking result, the multiple contact points are obtained; Selecting contact points between the locking part three-dimensional model and the access three-dimensional model as the multiple locking deformation points; Obtaining deformation degrees of the multiple locking deformation points in the simulated locking result as deformation information of the multiple locking points; The component information of multiple locking points is obtained by indexing the multiple locking deformation points in the component three-dimensional model.

[0037] Specifically, multiple contact points between the three-dimensional model of the base part and the three-dimensional model of the locking part and the access three-dimensional model in the simulation locking result are extracted to obtain multiple contact points.

[0038] Then, contact points between the locking part three-dimensional model and the access three-dimensional model are selected from the multiple contact points as multiple locking deformation points.

[0039] Next, for each locking deformation point, the deformation during the simulated locking process is obtained. For example, the degree of deformation can be quantified by comparing the position, shape and other parameters before and after the deformation. The degree of deformation of each locking deformation point is extracted to form multiple locking point deformation information.

[0040] Next, the position information of the locking deformation point is used to index in the component three-dimensional model, find the component information corresponding to each locking deformation point, and obtain component information of multiple locking points.

[0041] By obtaining multiple locking deformation points and deformation information between the optical fiber head locking connector and the access component, and also obtaining the composition information of these points, data support is provided for in-depth analysis of the connector's locking performance, material properties, and possible problems.

[0042] Furthermore, the present application also includes the following steps: According to the simulated locking and fixing data record of the optical fiber head locking connector, a plurality of sample locking deformation point sets, a plurality of sample locking point deformation information sets and a plurality of sample locking point component information sets are obtained; According to the simulated locking and fixing data record of the optical fiber head locking joint, based on the joint falling-off probability and the locking part breakage probability, multiple sample locking stability information and multiple sample locking health information are obtained; The plurality of sample locking deformation point sets, the plurality of sample locking point deformation information sets and the plurality of sample locking point component information sets are used as inputs, and the plurality of sample locking stability information and the plurality of sample locking health information are used as outputs respectively, a locking stability analysis branch and a locking health analysis branch are constructed to obtain a locking analyzer; Based on the locking analyzer, locking stability analysis and locking health analysis are performed on the multiple locking deformation points, multiple locking point deformation information and multiple locking point component information to obtain locking stability information and locking health information of the locking part.

[0043] Specifically, multiple sample locking deformation point records are extracted from the simulated locking and fixing data records in the historical time to generate a sample locking deformation point set. The deformation degree record of each sample locking deformation point during the simulation process is extracted to generate a sample locking point deformation information set. The component record of the sample locking point is extracted to generate a sample locking point component information set.

[0044] Then, according to the probability of joint falling off and the probability of locking part breaking in the simulated locking fixation data record of the optical fiber head locking joint in the historical time, the sample locking stability information and sample locking health information of each joint sample are extracted. The sample locking stability information is used to obtain the locking degree information of the sample joint. The sample locking health information is used to obtain the integrity degree information of the sample joint after deformation caused by locking.

[0045] Next, a machine learning algorithm is used to train a locking stability analysis branch with multiple sample locking deformation point sets and multiple sample locking point deformation information sets as input features and multiple sample locking stability information as output targets. If the output of the locking stability analysis branch tends to be stable, the training of the locking stability analysis branch is completed. Multiple sample locking deformation point sets, multiple sample locking point deformation information sets and multiple sample locking point component information sets are used as input features and multiple sample locking health information is used as output targets. The locking health analysis branch is trained. If the output of the locking stability analysis branch tends to be stable, the training of the locking stability analysis branch is completed. The locking stability analysis branch and the locking health analysis branch are combined to obtain a locking analyzer.

[0046] Next, based on the locking analyzer, multiple locking deformation points, multiple locking point deformation information and multiple locking point component information are input into the locking stability analysis branch and the locking health analysis branch of the locking analyzer to perform locking stability analysis and locking health analysis to obtain the locking stability information and locking health information of the locking part of the target joint.

[0047] By quantitatively analyzing the locking stability and health of the optical fiber head locking connector, the design, manufacturing and use processes of the target connector can be optimized and improved based on the analysis results.

[0048] Furthermore, the present application also includes the following steps: According to the detection sample data of the optical fiber head locking connector, a sample specification quality information set, a sample locking stability information set and a sample locking health information set are obtained, and a sample quality grade set of the optical fiber head locking connector is obtained; Based on the data categories of specification quality information, locking stability information and locking health information, a first axis, a second axis and a third axis in a joint quality classification coordinate system are constructed; The sample specification quality information set, the sample locking stability information set and the sample locking health information set are respectively combined and input into the joint quality classification coordinate system to obtain a plurality of sample points; Using the sample quality grade set, marking the multiple sample points to obtain a joint quality classifier; The joint quality classifier is used to classify the specification quality information, locking stability information and locking health information to obtain a quality inspection result.

[0049] Specifically, from the detection sample data of the optical fiber head locking joint, the sample specification quality information set of the optical fiber head locking joint, the sample locking stability information set of the optical fiber head locking joint and the sample locking health information set of the optical fiber head locking joint are extracted, and the sample quality grade set of the optical fiber head locking joint is obtained. The sample quality grade set is used to obtain the quality of the optical fiber head locking joint.

[0050] Then, according to the data categories and characteristics of the specification quality information, locking stability information and locking health information, the representation method in the joint quality classification coordinate system is determined. The specification quality information is used as the first axis, the locking stability information is used as the second axis, and the locking health information is used as the third axis.

[0051] Next, the sample specification quality information set, the sample locking stability information set and the sample locking health information set are respectively combined and input into the joint quality classification coordinate system. Each sample information corresponds to a point in the joint quality classification coordinate system, and multiple sample points are obtained.

[0052] Next, the sample quality grade set is used to identify each sample point in the joint quality classification coordinate system, and the quality grade corresponding to each sample point is obtained to obtain the joint quality classifier.

[0053] In addition, the specification quality information, locking stability information and locking health information of the target joint are obtained and input into the joint quality classifier to judge the quality grade of the joint and output the quality inspection result.

[0054] By evaluating the quality of the fiber optic locking connector, it provides strong support for quality control and product screening during the production process.

[0055] Furthermore, the present application also includes the following steps: Inputting the specification quality information, locking stability information and locking health information into the joint quality classification coordinate system to obtain quality points; Obtaining the N sample points closest to the mass point, where N is an integer greater than 5; According to the N sample quality levels of the N sample points, the quality level of the target joint is calculated and obtained as a quality detection result.

[0056] Specifically, the specification quality information, locking stability information and locking health information of the target joint are input into the joint quality classification coordinate system to obtain the quality points.

[0057] Then, an integer N greater than 5 is selected as the number of nearest sample points to be found. The selection of N is adjusted according to actual needs and the distribution of sample points. In the joint quality classification coordinate system, the N nearest sample points to the quality point are obtained. For example, this is achieved by calculating the Euclidean distance between the quality point and each sample point, and then sorting them by distance or similarity to select the first N points.

[0058] Next, the corresponding sample quality levels are extracted according to the N nearest sample points. According to the N sample quality levels, the quality level of the target joint is calculated as the quality detection result. For example, the average value or mode of the N sample quality levels is taken as the quality level of the target joint.

[0059] The quality level of the target joint can be evaluated through sample information and quality classification coordinate system to provide support for practical applications.

[0060] In summary, the multi-dimensional quality detection method of the optical fiber head locking connector provided by the present application has the following technical effects: The target joint is subjected to three-dimensional scanning detection to obtain a joint three-dimensional model of the target joint, wherein the target joint is a fiber head locking joint, including a base part and a locking part, and the joint three-dimensional model includes a base part three-dimensional model and a locking part three-dimensional model; the target joint is subjected to component detection, the joint three-dimensional model is marked, and a component three-dimensional model is constructed; based on the joint three-dimensional model, combined with the access three-dimensional model of the access position, simulated locking and fixing and specification matching analysis are performed to obtain simulated locking results and specification quality information; based on the simulated locking results, multiple contact points are determined in the component three-dimensional model, and multiple locking deformation points and multiple locking deformation points are screened out. point deformation information, and obtain multiple locking point component information based on the multiple locking deformation point indexes; perform locking stability analysis and locking health analysis according to the multiple locking deformation points, the multiple locking point deformation information and the multiple locking point component information, and obtain the locking stability information and locking health information of the locking part; according to the specification quality information, the locking stability information and the locking health information, match and obtain the quality inspection result of the target joint, that is, through the deformation information and component information of the optical fiber head locking joint, the locking stability and locking health are analyzed, and finally the technical goal of improving the accuracy of evaluating the locking performance of the joint is achieved, and the technical effect of improving the working stability of the joint is achieved.

[0061] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0062] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A multi-dimensional quality detection method for optical fiber head locking connector, characterized in that: The method comprises: Performing three-dimensional scanning detection on the target joint to obtain a joint three-dimensional model of the target joint, wherein the target joint is an optical fiber head locking joint, including a base part and a locking part, and the joint three-dimensional model includes a base part three-dimensional model and a locking part three-dimensional model; Performing component detection on the target joint, marking the joint three-dimensional model, and constructing a component three-dimensional model; Based on the three-dimensional model of the joint and in combination with the access three-dimensional model of the access position, simulated locking and fixing and specification matching analysis are performed to obtain simulated locking results and specification quality information; Based on the simulated locking result, a plurality of contact points are determined in the component three-dimensional model, and a plurality of locking deformation points and a plurality of locking point deformation information are screened out, and a plurality of locking point component information is obtained based on the plurality of locking deformation point indexes; Perform locking stability analysis and locking health analysis according to the multiple locking deformation points, multiple locking point deformation information and multiple locking point component information to obtain locking stability information and locking health information of the locking part; According to the specification quality information, locking stability information and locking health information, the quality inspection result of the target joint is matched and obtained.

2. The method according to claim 1, characterized in that Performing component detection on the target joint and marking the three-dimensional model of the joint includes: Selecting a plurality of key positions on the target joint, wherein the plurality of key positions include connection positions and edge positions; Performing component detection on the multiple key positions to obtain component information of multiple positions; The component three-dimensional model is obtained by using the component information of the plurality of positions to mark a plurality of key positions on the three-dimensional model of the joint, and performing interpolation marking on other plurality of positions.

3. The method according to claim 1, characterized in that: Based on the three-dimensional model of the joint, combined with the access three-dimensional model of the access position, simulated locking and fixing and specification matching analysis are performed to obtain simulated locking results and specification quality information, including: Obtaining an access three-dimensional model of the access location; According to the joint three-dimensional model combined with the access three-dimensional model, simulated locking and fixing movement is performed to obtain a simulated locking result, wherein the simulated locking result includes a plurality of contact points between the base part three-dimensional model and the locking part three-dimensional model and the access three-dimensional model; A specification matching analysis is performed based on the joint three-dimensional model and the access three-dimensional model to obtain specification quality information of the target joint.

4. The method according to claim 3, characterized in that: According to the joint three-dimensional model and the access three-dimensional model, a specification matching analysis is performed, including: Based on the detection data record of the optical fiber head locking joint, a sample joint three-dimensional model set is obtained, and the specification deviation is evaluated in combination with the access three-dimensional model to obtain a sample specification quality information set; The sample joint three-dimensional model set and the sample specification quality information set are used to construct a specification matching analysis model, and specification matching analysis is performed on the joint three-dimensional model and the access three-dimensional model to obtain the specification quality information.

5. The method according to claim 3, characterized in that: Based on the simulated locking result, a plurality of contact points are determined in the component three-dimensional model, and a plurality of locking deformation points and a plurality of locking point deformation information are screened out, including: Based on the multiple contact points between the base part three-dimensional model and the locking part three-dimensional model and the access three-dimensional model in the simulation locking result, the multiple contact points are obtained; Selecting contact points between the locking part three-dimensional model and the access three-dimensional model as the multiple locking deformation points; Obtaining deformation degrees of the multiple locking deformation points in the simulated locking result as deformation information of the multiple locking points; The component information of multiple locking points is obtained by indexing the multiple locking deformation points in the component three-dimensional model.

6. The method according to claim 1, characterized in that According to the multiple locking deformation points, the multiple locking point deformation information and the multiple locking point component information, a locking stability analysis and a locking health analysis are performed, including: According to the simulated locking and fixing data record of the optical fiber head locking connector, a plurality of sample locking deformation point sets, a plurality of sample locking point deformation information sets and a plurality of sample locking point component information sets are obtained; According to the simulated locking and fixing data record of the optical fiber head locking joint, based on the joint falling-off probability and the locking part breakage probability, multiple sample locking stability information and multiple sample locking health information are obtained; The plurality of sample locking deformation point sets, the plurality of sample locking point deformation information sets and the plurality of sample locking point component information sets are used as inputs, and the plurality of sample locking stability information and the plurality of sample locking health information are used as outputs respectively, a locking stability analysis branch and a locking health analysis branch are constructed to obtain a locking analyzer; Based on the locking analyzer, locking stability analysis and locking health analysis are performed on the multiple locking deformation points, multiple locking point deformation information and multiple locking point component information to obtain locking stability information and locking health information of the locking part.

7. The method according to claim 1, characterized in that According to the specification quality information, the locking stability information and the locking health information, the quality inspection result of the target joint is obtained by matching, including: According to the detection sample data of the optical fiber head locking connector, a sample specification quality information set, a sample locking stability information set and a sample locking health information set are obtained, and a sample quality grade set of the optical fiber head locking connector is obtained; Based on the data categories of specification quality information, locking stability information and locking health information, a first axis, a second axis and a third axis in a joint quality classification coordinate system are constructed; The sample specification quality information set, the sample locking stability information set and the sample locking health information set are respectively combined and input into the joint quality classification coordinate system to obtain a plurality of sample points; Using the sample quality grade set, marking the multiple sample points to obtain a joint quality classifier; The joint quality classifier is used to classify the specification quality information, locking stability information and locking health information to obtain a quality inspection result.

8. The method according to claim 7, characterized in that The joint quality classifier is used to classify the specification quality information, locking stability information and locking health information to obtain quality inspection results, including: Inputting the specification quality information, locking stability information and locking health information into the joint quality classification coordinate system to obtain quality points; Obtaining the N sample points closest to the mass point, where N is an integer greater than 5; According to the N sample quality levels of the N sample points, the quality level of the target joint is calculated and obtained as a quality detection result.

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