A quality control production management system for toys and teaching aids

Abstract

The invention relates to the technical field of toy production, and specifically discloses a toy quality control production management system, the system comprising: a safety detection module, used for detecting the safety quality of the toy, the safety quality including the content of harmful substances, the sharpness of corners and the fireproof performance; a non-safety detection module, used for detecting the non-safety quality of the toy at a preset frequency, the non-safety quality including the appearance and strength quality; the invention analyzes the collected safety quality parameters through an analysis control module to obtain the safety quality evaluation parameters of the toy, and judges whether the safety quality of the toy is qualified; then analyzes the non-safety quality parameters collected by the non-safety detection module through an analysis control module to obtain the non-safety quality evaluation parameters of the toy, and then judges whether the quality of the toy is qualified, so as to fully detect and manage the quality in the toy production process.

Description

Technical Field

[0001] The invention relates to the technical field of toy and teaching aid production, in particular to a toy and teaching aid quality control production management system. Background Art

[0002] Teaching aids usually refer to educational toys or teaching tools. They stimulate children's interest in learning and cultivate their creativity, cognitive ability and hands-on ability by providing interesting and interactive ways. Teaching aids usually include various types of toys, such as puzzles, building blocks, learning cards, electronic learning toys, science experiment boxes, etc. They can help children learn letters, numbers, shapes, colors, cultivate problem-solving skills and creativity, and guide them to learn knowledge in science, art, music, etc. Because teaching aids need to come into contact with children's bodies during use, and some teaching aids may even come into contact with children's mouths and noses while children are playing with them, the quality of teaching aids needs to be strictly controlled, especially the quality that may cause harm to children.

[0003] In the prior art, the quality inspection of teaching toys mostly stays on their appearance and compressive strength, without sufficient inspection on the safety of teaching toys. In the production process of teaching toys, a complete and sound inspection system has not been established, which may cause some teaching toys with safety hazards to leave the factory. Summary of the invention

[0004] The purpose of the present invention is to provide a toy quality control production management system to solve the following technical problems:

[0005] The issue of how to fully test and manage the quality of educational toys during production.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A toy and teaching aid quality control production management system, the system comprising:

[0008] A safety detection module is used to detect the safety quality of toys and teaching aids, wherein the safety quality includes the content of harmful substances, the sharpness of edges and corners, and the fire resistance;

[0009] A non-safety detection module, used to detect the non-safety quality of the toys and teaching aids at a preset frequency, wherein the non-safety quality includes appearance and strength quality;

[0010] The analysis control module is used to analyze the safety quality parameters collected by the safety detection module, obtain the safety quality evaluation parameters of the toys and teaching aids, and judge whether the safety quality of the toys and teaching aids is qualified; if qualified, the non-safety quality parameters collected by the non-safety detection module are analyzed to obtain the non-safety quality evaluation parameters of the toys and teaching aids, and judge whether the quality of the toys and teaching aids is qualified; statistical analysis is performed on the unqualified data within a preset time period, and the preset detection frequency of the destructive detection items is adjusted;

[0011] The sorting module is used to perform a safety quality unqualified sorting action on the safety quality unqualified signal and to perform a non-safety quality unqualified sorting action on the non-safety quality unqualified signal.

[0012] Furthermore, the process of determining whether the safety quality of the educational toys is qualified includes:

[0013] S1. Sample the production materials of toys and teaching aids at different batches and preset dosage intervals to conduct a test on the content of harmful substances in the production materials of toys and teaching aids. If the content of harmful substances meets the preset standard, proceed to the next step;

[0014] S2. Collecting image information of each assembly component of the toy by an industrial camera, and then analyzing it to obtain characteristic parameters of sharpness of the toy, and obtaining characteristic values ​​of fire resistance performance of the toy by conducting fire resistance test analysis on the toy material;

[0015] S3, obtaining the safety quality evaluation parameters of the toys and teaching aids by analyzing the sharpness characteristic parameters and fire performance characteristic values ​​of the toys and teaching aids;

[0016] S4. Compare the safety quality evaluation parameters of the toys and teaching aids with the preset safety quality requirement parameters of the toys and teaching aids. If the safety quality evaluation parameters of the toys and teaching aids are greater than the preset safety quality requirement parameters of the toys and teaching aids, a toy and teaching aid safety quality failure signal is generated. Otherwise, the toys and teaching aids are analyzed for non-safety quality parameters.

[0017] Furthermore, in step S2, the process of obtaining the fire retardant performance characteristic value of the toy includes:

[0018]

[0019] The fire performance characteristic value W of the toys and teaching aids is obtained by analyzing and calculating the above formula;

[0020] Where N is the number of fire resistance reference items collected during the fire resistance test of toys and teaching aids, i∈[1,N], Q i is the fire resistance reference parameter value of item i in the fire resistance test of educational toys, τ i is the weight of the i-th fire resistance reference item.

[0021] Furthermore, in step S2, the process of obtaining the characteristic parameters of the sharpness of the corners of the toys and teaching aids includes:

[0022] S21. Using an industrial camera to shoot each assembly component of the toy and teaching aid, and obtaining a full range of videos of each assembly component of the toy and teaching aid;

[0023] S22, preprocessing the acquired image, including image noise reduction, image enhancement and image smoothing;

[0024] S23, extracting corner features of the toy by an edge detection method, calculating the corner features by an edge curvature calculation algorithm, obtaining the curvature of the detected edge of each assembly component of the toy, calculating the corner features by a corner sharpness calculation algorithm, obtaining the sharpness of the corner points of each assembly component of the toy;

[0025] S24, taking the maximum value of the edge curvature of each assembly component and the maximum value of the sharpness of each corner point, and calculating the characteristic parameter B of the corner sharpness of the toy by a weighted formula.

[0026] Furthermore, in step S3, the process of analyzing and obtaining the safety quality evaluation parameters of the toys and teaching aids includes:

[0027]

[0028] The safety quality evaluation parameter C of educational toys can be obtained by analyzing and calculating the above formula H ;

[0029] Among them, σ is the adjustment coefficient.

[0030] Furthermore, the process of judging whether the quality of the toys and teaching aids is qualified includes:

[0031] When the safety quality of the toys and teaching aids is qualified, the non-safety quality parameters of the toys and teaching aids are analyzed:

[0032] C Z =G*θ1+K*θ2

[0033] The non-safety quality evaluation parameter C of educational toys can be obtained by analyzing and calculating the above formula Z ;

[0034] Among them, G is the appearance evaluation coefficient of the educational toy, K is the strength quality parameter of the educational toy, and θ1 and θ2 are weight coefficients that affect the non-safety quality evaluation parameters of educational toys;

[0035] Non-safety quality evaluation parameter C of toys and teaching aids Z Compared with the preset non-safety quality evaluation parameter C of toys and teaching aids std Compare;

[0036] If CZ <C std , generating a signal that the toys and teaching aids are not of qualified safety quality.

[0037] Furthermore, the process of obtaining the appearance evaluation coefficient of the toy includes:

[0038] The standard three-dimensional image of the teaching aid is used as a sample for convolutional neural network learning to obtain a trained convolutional neural network model;

[0039] A high-definition camera is used to take all-round photos of the educational toys that have been assembled. The collected three-dimensional image information of the toys is imported into the trained convolutional neural network model and compared with the standard three-dimensional image samples in the model. The percentage value of the sameness between the imported image samples and the standard samples is output, which is the appearance evaluation coefficient G of the toys.

[0040] Furthermore, the strength quality parameter acquisition process includes:

[0041]

[0042] The strength quality parameter K of the toy is calculated by the above formula;

[0043] in, It is the average value of the compressive strength limit value of educational toys obtained by sampling at a preset test frequency within a preset time period. It is the average value of the service life of educational toys obtained by sampling at a preset inspection frequency within a preset time period. α1 and α2 are both dimensional weight coefficients.

[0044] Furthermore, the adjustment process of the preset detection frequency includes:

[0045]

[0046] The preset detection frequency Y is calculated by the above formula fre ;

[0047] in, The rounding function, Y std is the standard detection frequency, M s is the number of non-safety quality inspection failures within a preset time period, M std To adjust the parameters.

[0048] Beneficial effects of the present invention:

[0049] (1) The present invention analyzes the collected safety quality parameters through the analysis control module to obtain the safety quality evaluation parameters of the toys and teaching aids, and determines whether the safety quality of the toys and teaching aids is qualified. If qualified, the non-safety quality of the toys and teaching aids is further detected by the non-safety detection module, and then the non-safety quality parameters collected by the non-safety detection module are analyzed by the analysis control module to obtain the non-safety quality evaluation parameters of the toys and teaching aids, and then determine whether the quality of the toys and teaching aids is qualified. If qualified, the production of the toys and teaching aids is completed, and the sorting module performs the corresponding safety quality unqualified sorting action on the safety quality unqualified signal, and performs the corresponding non-safety quality unqualified sorting action on the non-safety quality unqualified signal, thereby fully detecting and managing the quality of the toys and teaching aids during the production process.

[0050] (2) The present invention samples the materials used to produce toys and teaching aids in different batches and at preset dosage intervals to test the harmful substance content of the materials used to produce the toys and teaching aids. If the harmful substance content meets the preset standard, the next step of testing is carried out. Then, an industrial camera is used to collect image information of each assembly component of the toys and teaching aids. The collected image information is analyzed to obtain the sharpness characteristic parameters of the toys and teaching aids. The fire resistance performance characteristic values ​​of the toys and teaching aids are obtained by performing experimental analysis on the fire resistance of the toys and teaching aids. Then, the sharpness characteristic parameters and the fire resistance performance characteristic values ​​of the toys and teaching aids are analyzed to obtain the safety quality evaluation parameters of the toys and teaching aids. Finally, the parameters are compared with the preset safety quality requirement parameters of the toys and teaching aids. If the safety quality evaluation parameters of the toys and teaching aids are greater than the preset safety quality requirement parameters of the toys and teaching aids, a signal indicating that the safety quality of the toys and teaching aids is unqualified is generated. Otherwise, the non-safety quality parameters of the toys and teaching aids are analyzed. In this way, the safety quality of the toys and teaching aids in the production process can be fully tested.

[0051] (3) In the present invention, when the safety quality of the toy is qualified, the non-safety quality parameters of the toy are analyzed, and the non-safety quality evaluation parameters of the toy are obtained by formula calculation and analysis. Finally, the non-safety quality evaluation parameters of the toy are compared with the preset non-safety quality evaluation parameters of the toy. If the non-safety quality evaluation parameters of the toy are less than the preset non-safety quality evaluation parameters of the toy, a signal indicating that the non-safety quality of the toy is unqualified is generated. Otherwise, it indicates that the quality of the toy is qualified. In this way, the quality of the toy production process can be fully tested and managed. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Figure 1 It is a schematic block diagram of a toy quality control production management system proposed by the present invention;

[0054] Figure 2It is a flowchart of the steps of safety quality inspection of toys and teaching aids in a toys and teaching aids quality control production management system proposed by the present invention;

[0055] Figure 3 The invention discloses a flowchart of the steps for obtaining the sharpness characteristic parameters of the edges and corners of toys and teaching aids in a toys and teaching aids quality control production management system. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1-3 As shown, in one embodiment, a toy quality control production management system is provided, the system comprising:

[0058] A safety detection module is used to detect the safety quality of toys and teaching aids, wherein the safety quality includes the content of harmful substances, the sharpness of edges and corners, and the fire resistance;

[0059] A non-safety detection module, used to detect the non-safety quality of the toys and teaching aids at a preset frequency, wherein the non-safety quality includes appearance and strength quality;

[0060] The analysis control module is used to analyze the safety quality parameters collected by the safety detection module, obtain the safety quality evaluation parameters of the toys and teaching aids, and judge whether the safety quality of the toys and teaching aids is qualified; if qualified, the non-safety quality parameters collected by the non-safety detection module are analyzed to obtain the non-safety quality evaluation parameters of the toys and teaching aids, and judge whether the quality of the toys and teaching aids is qualified; statistical analysis is performed on the unqualified data within a preset time period, and the preset detection frequency of the destructive detection items is adjusted;

[0061] The sorting module is used to perform a safety quality unqualified sorting action on the safety quality unqualified signal and to perform a non-safety quality unqualified sorting action on the non-safety quality unqualified signal.

[0062] Through the above technical scheme, this embodiment provides a toy quality control production management system, which detects the safety quality of the toy through a safety detection module, and the detection direction includes the detection of harmful substance content of raw materials, protection performance detection and the sharpness of each corner of the assembled components. Then, the collected safety quality parameters are analyzed by the analysis and control module to obtain the safety quality evaluation parameters of the toy, and it is judged whether the safety quality of the toy is qualified. If it is unqualified, a safety quality unqualified signal is generated. If it is qualified, the non-safety quality of the toy is further detected by the non-safety detection module. The non-safety quality detection direction includes the appearance of the assembled toy and the strength quality detection of the toy. Then, the non-safety quality parameters collected by the non-safety detection module are analyzed by the analysis and control module. The quality parameters of the toys and teaching aids are analyzed to obtain the non-safety quality evaluation parameters of the toys and teaching aids, and then determine whether the quality of the toys and teaching aids is qualified. If unqualified, a non-safety unqualified signal is generated. If qualified, the production of the toys and teaching aids is completed. Among them, the strength quality detection of toys and teaching aids is a destructive detection item, and its detection process is to perform sampling detection on the finished toys and teaching aids of the assembly line. The frequency of the strength quality detection of toys and teaching aids can be adjusted by performing statistical analysis on the unqualified data within a preset time period, so as to achieve the purpose of intelligently controlling the destructive detection frequency. Finally, the sorting module can perform the corresponding safety quality unqualified sorting action on the safety quality unqualified signal, and perform the corresponding non-safety quality unqualified sorting action on the non-safety quality unqualified signal, so as to fully detect and manage the quality of the toys and teaching aids in the production process.

[0063] In one embodiment, the process of determining whether the safety quality of the educational toys is qualified includes:

[0064] S1. Sample the production materials of toys and teaching aids at different batches and preset dosage intervals to conduct a test on the content of harmful substances in the production materials of toys and teaching aids. If the content of harmful substances meets the preset standard, proceed to the next step;

[0065] S2. Collecting image information of each assembly component of the toy by an industrial camera, and then analyzing it to obtain characteristic parameters of sharpness of the toy, and obtaining characteristic values ​​of fire resistance performance of the toy by conducting fire resistance test analysis on the toy material;

[0066] S3, obtaining the safety quality evaluation parameters of the toys and teaching aids by analyzing the sharpness characteristic parameters and fire performance characteristic values ​​of the toys and teaching aids;

[0067] S4. Compare the safety quality evaluation parameters of the toys and teaching aids with the preset safety quality requirement parameters of the toys and teaching aids. If the safety quality evaluation parameters of the toys and teaching aids are greater than the preset safety quality requirement parameters of the toys and teaching aids, a toy and teaching aid safety quality failure signal is generated. Otherwise, the toys and teaching aids are analyzed for non-safety quality parameters.

[0068] In step S2, the process of obtaining the fire performance characteristic value of the toy includes:

[0069]

[0070] The fire performance characteristic value W of the toys and teaching aids is obtained by analyzing and calculating the above formula;

[0071] Where N is the number of fire resistance reference items collected during the fire resistance test of toys and teaching aids, i∈[1,N], Q i is the fire resistance reference parameter value of item i in the fire resistance test of educational toys, τ i is the weight of the i-th fire resistance reference item.

[0072] In step S2, the process of obtaining the characteristic parameters of the sharpness of the corners of the toys and teaching aids includes:

[0073] S21. Using an industrial camera to shoot each assembly component of the toy and teaching aid, and obtaining a full range of videos of each assembly component of the toy and teaching aid;

[0074] S22, preprocessing the acquired image, including image noise reduction, image enhancement and image smoothing;

[0075] S23, extracting corner features of the toy by an edge detection method, calculating the corner features by an edge curvature calculation algorithm, obtaining the curvature of the detected edge of each assembly component of the toy, calculating the corner features by a corner sharpness calculation algorithm, obtaining the sharpness of the corner points of each assembly component of the toy;

[0076] S24, taking the maximum value of the edge curvature of each assembly component and the maximum value of the sharpness of each corner point, and calculating the characteristic parameter B of the corner sharpness of the toy by a weighted formula.

[0077] In step S3, the process of analyzing and obtaining the safety quality evaluation parameters of the toys and teaching aids includes:

[0078]

[0079] The safety quality evaluation parameter C of educational toys can be obtained by analyzing and calculating the above formula H ;

[0080] Among them, σ is the adjustment coefficient.

[0081] Through the above technical scheme, this embodiment provides a method for testing the safety quality of toys and teaching aids. First, the production materials of the toys and teaching aids are sampled according to different batches and preset dosage intervals, and the harmful substance content of the toys and teaching aids is tested. If the harmful substance content meets the preset standard, which can be the GB 6675-2014 standard, the next step of testing is performed. Then, the industrial camera is used to collect image information of each assembly component of the toys and teaching aids, and the collected image information is analyzed to obtain the sharpness characteristic parameters of the toys and teaching aids. The fire resistance performance characteristic values ​​of the toys and teaching aids are obtained by analyzing the sharpness characteristic parameters and the fire resistance performance characteristic values ​​of the toys and teaching aids. Then, the sharpness characteristic parameters and the fire resistance performance characteristic values ​​of the toys and teaching aids are analyzed to obtain the safety quality evaluation parameters of the toys and teaching aids. Finally, the parameters are compared with the preset safety quality requirement parameters of the toys and teaching aids. If the safety quality evaluation parameters of the toys and teaching aids are greater than the preset safety quality requirement parameters of the toys and teaching aids, a signal indicating that the safety quality of the toys and teaching aids is unqualified is generated. Otherwise, the non-safety quality parameters of the toys and teaching aids are analyzed. In this way, the safety quality of the toys and teaching aids in the production process can be fully tested.

[0082] Among them, the fire performance characteristic value W of the toys and teaching aids can be obtained by the formula Obtained through analysis and calculation, N is the number of fire resistance reference items collected during the fire resistance test of toys and teaching aids, which can be selectively obtained according to the fire resistance test of toys and teaching aids, i∈[1,N], Q i is the fire resistance reference parameter value of item i in the fire resistance test of toys and teaching aids, which can be obtained according to the fire resistance test results of toys and teaching aids, τ i is the weight of the i-th fire resistance reference item, which can be selected based on empirical data;

[0083] The process of obtaining the characteristic parameters of the sharpness of the edges and corners of the toys and teaching aids includes: S21, photographing each assembly component of the toys and teaching aids by an industrial camera to obtain a full-scale video of each assembly component of the toys and teaching aids; S22, preprocessing the obtained image, including image noise reduction, image enhancement and image smoothing; S23, extracting the edge and corner features of the toys and teaching aids by an edge detection method, calculating the edge and corner features by an edge curvature calculation algorithm, obtaining the curvature of the detected edges of each assembly component of the toys and teaching aids, calculating the edge and corner features by a corner point sharpness calculation algorithm, and obtaining the sharpness of the corner points of each assembly component of the toys and teaching aids; S24, taking the maximum value of the curvature of the detected edges of each assembly component and the maximum value of the sharpness of each corner point, and calculating the characteristic parameter B of the sharpness of the edges and corners of the toys and teaching aids by a weighted formula;

[0084] The safety quality evaluation parameter C of the educational toys H The formula can be obtained It is obtained through calculation and analysis, and σ is the adjustment coefficient, which is selected based on empirical data.

[0085] In one embodiment, the process of determining whether the quality of the educational toys is qualified includes:

[0086] When the safety quality of the toys and teaching aids is qualified, the non-safety quality parameters of the toys and teaching aids are analyzed:

[0087] C Z =G*θ1+K*θ2

[0088] The non-safety quality evaluation parameter C of educational toys can be obtained by analyzing and calculating the above formula Z ;

[0089] Among them, G is the appearance evaluation coefficient of the educational toy, K is the strength quality parameter of the educational toy, and θ1 and θ2 are weight coefficients that affect the non-safety quality evaluation parameters of educational toys;

[0090] Non-safety quality evaluation parameter C of toys and teaching aids Z Compared with the preset non-safety quality evaluation parameter C of toys and teaching aids std Compare;

[0091] If C Z <C std , generating a signal that the toys and teaching aids are not of qualified safety quality.

[0092] The process of obtaining the appearance evaluation coefficient of the teaching aid comprises:

[0093] The standard three-dimensional image of the teaching aid is used as a sample for convolutional neural network learning to obtain a trained convolutional neural network model;

[0094] A high-definition camera is used to take all-round photos of the educational toys that have been assembled. The collected three-dimensional image information of the toys is imported into the trained convolutional neural network model and compared with the standard three-dimensional image samples in the model. The percentage value of the sameness between the imported image samples and the standard samples is output, which is the appearance evaluation coefficient G of the toys.

[0095] The strength quality parameter acquisition process includes:

[0096]

[0097] The strength quality parameter K of the toy is calculated by the above formula;

[0098] in, It is the average value of the compressive strength limit value of educational toys obtained by sampling at a preset test frequency within a preset time period. It is the average value of the service life of educational toys obtained by sampling at a preset inspection frequency within a preset time period. α1 and α2 are both dimensional weight coefficients.

[0099] Through the above technical solution, this embodiment provides a method for judging whether the quality of toys and teaching aids is qualified. When the safety quality of the toys and teaching aids is qualified, the non-safety quality parameters of the toys and teaching aids are analyzed, and the formula C is used to determine whether the quality of the toys and teaching aids is qualified. Z =G*θ1+k*θ2Calculation and analysis to obtain the non-safety quality evaluation parameter C of educational toys Z , where G is the appearance evaluation coefficient of the teaching toy, which can be obtained by taking a full-scale photo of the assembled teaching aids with a high-definition camera; K is the strength quality parameter of the teaching toy, which can be obtained by destructive experimental analysis of the teaching aids; θ1 and θ2 are weight coefficients that affect the non-safety quality evaluation parameters of the teaching aids, which are obtained by selecting based on empirical data. Finally, the non-safety quality evaluation parameter C of the teaching aids is used. Z Compared with the preset non-safety quality evaluation parameter C of toys and teaching aids std Compare, if C Z <C std , generating a signal that the non-safety quality of the toys and teaching aids is unqualified. Conversely, it indicates that the quality of the toys and teaching aids is qualified. In this way, the quality of the toys and teaching aids production process can be fully tested and managed.

[0100] The process of obtaining the appearance evaluation coefficient of the toy includes: firstly, using the standard three-dimensional image of the toy as a sample for convolutional neural network learning to obtain a trained convolutional neural network model, then taking a full-scale photo of the assembled teaching toy with a high-definition camera, importing the collected three-dimensional image information of the toy into the trained convolutional neural network model, comparing it with the standard three-dimensional image sample in the model, and outputting the same percentage value of the imported image sample and the standard sample, which is the appearance evaluation coefficient G of the toy;

[0101] The strength quality parameter K of the toys and teaching aids is obtained through the formula Calculate and obtain, It is the average value of the compressive strength limit value of toys and teaching aids obtained by sampling at a preset test frequency within a preset time period, which can be obtained based on the ultimate compressive strength test of toys and teaching aids. It is the average value of the service life of toys and teaching aids obtained by sampling at a preset inspection frequency within a preset time period, which can be obtained through a toy and teaching aid service life experiment. α1 and Δ2 are both dimensional weight coefficients, which are obtained by fitting empirical data. The preset time period can be obtained based on experience in the production process of toys and teaching aids.

[0102] In one embodiment, the adjustment process of the preset detection frequency includes:

[0103]

[0104] The preset detection frequency Y is calculated by the above formula fre ;

[0105] in, The rounding function, Y std is the standard detection frequency, M s is the number of non-safety quality inspection failures within a preset time period, M std To adjust the parameters.

[0106] Through the above technical solution, this embodiment provides a method for adjusting the preset detection frequency, through the formula Calculate and obtain the preset detection frequency Y fre ,in, for The rounding function of Y is used to ensure the integer number of the preset detection frequency. std is the standard detection frequency, which can be selected based on empirical data, M s is the number of non-safety quality inspection failures within a preset time period, obtained by counting the number of non-safety quality inspection failures within a preset time period, M std To adjust the parameters, you can choose according to empirical data, so that the preset detection frequency can be adjusted intelligently, thereby achieving the purpose of adjusting the number of toys and teaching aids lost in destructive experiments according to the quality of the toys and teaching aids. This can ensure sufficient testing of the quality of the toys and teaching aids, and reduce the loss of qualified toys and teaching aids in destructive experiments.

[0107] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A toy quality control production management system, characterized in that: The system comprises: A safety detection module is used to detect the safety quality of toys and teaching aids, wherein the safety quality includes the content of harmful substances, the sharpness of edges and corners, and the fire resistance; A non-safety detection module, used to detect the non-safety quality of the toys and teaching aids at a preset frequency, wherein the non-safety quality includes appearance and strength quality; The analysis control module is used to analyze the safety quality parameters collected by the safety detection module, obtain the safety quality evaluation parameters of the toys and teaching aids, and judge whether the safety quality of the toys and teaching aids is qualified; if qualified, the non-safety quality parameters collected by the non-safety detection module are analyzed to obtain the non-safety quality evaluation parameters of the toys and teaching aids, and judge whether the quality of the toys and teaching aids is qualified; statistical analysis is performed on the unqualified data within a preset time period, and the preset detection frequency of the destructive detection items is adjusted; A sorting module is used to perform a safety quality unqualified sorting action on the safety quality unqualified signal and a non-safety quality unqualified sorting action on the non-safety quality unqualified signal; The process of judging whether the safety quality of the toys and teaching aids is qualified includes: S1. Sample the production materials of toys and teaching aids at different batches and preset dosage intervals to conduct a test on the content of harmful substances in the production materials of toys and teaching aids. If the content of harmful substances meets the preset standard, proceed to the next step; S2. Collecting image information of each assembly component of the toy by an industrial camera, and then analyzing it to obtain characteristic parameters of sharpness of the toy, and obtaining characteristic values ​​of fire resistance performance of the toy by conducting fire resistance test analysis on the toy material; S3, obtaining the safety quality evaluation parameters of the toys and teaching aids by analyzing the sharpness characteristic parameters and fire performance characteristic values ​​of the toys and teaching aids; S4, comparing the safety quality evaluation parameters of the toys and teaching aids with the preset safety quality requirement parameters of the toys and teaching aids, if the safety quality evaluation parameters of the toys and teaching aids are greater than the preset safety quality requirement parameters of the toys and teaching aids, generating a signal indicating that the safety quality of the toys and teaching aids is unqualified, otherwise, analyzing the non-safety quality parameters of the toys and teaching aids; In step S2, the process of obtaining the fire retardant performance characteristic value of the toy includes: ， The fire performance characteristic value of the toys and teaching aids is obtained by analyzing and calculating the above formula ; in, The number of fire resistance reference items collected during the fire resistance test of educational toys. , For the fire performance test of toys and teaching aids Item fire resistance reference parameter value, For the The weight of the fire resistance reference item.

2. A toy and teaching aid quality control production management system according to claim 1, characterized in that: In step S2, the process of obtaining the sharpness characteristic parameters of the toy includes: S21. Using an industrial camera to shoot each assembly component of the toy and teaching aid, and obtaining a full range of videos of each assembly component of the toy and teaching aid; S22, preprocessing the acquired image, including image noise reduction, image enhancement and image smoothing; S23, extracting corner features of the toy by an edge detection method, calculating the corner features by an edge curvature calculation algorithm, obtaining the curvature of the detected edge of each assembly component of the toy, calculating the corner features by a corner sharpness calculation algorithm, obtaining the sharpness of the corner points of each assembly component of the toy; S24, taking the maximum value of the edge curvature of each assembly component and the maximum value of the sharpness of each corner point, and calculating the sharpness characteristic parameter of the toy by a weighted formula .

3. A toy and teaching aid quality control production management system according to claim 2, characterized in that: In step S3, the process of analyzing and obtaining the safety quality evaluation parameters of the toys and teaching aids includes: ， The safety quality evaluation parameters of educational toys can be obtained by analyzing and calculating the above formula ; in, is the adjustment factor.

4. A toy and teaching aid quality control production management system according to claim 1, characterized in that: The process of judging whether the quality of the toys and teaching aids is qualified includes: When the safety quality of the toys and teaching aids is qualified, the non-safety quality parameters of the toys and teaching aids are analyzed: ， The non-safety quality evaluation parameters of educational toys can be obtained by analyzing and calculating the above formula ; in, is the appearance evaluation coefficient of the toys and teaching aids, It is the strength quality parameter of the teaching aids. and All of them are weight coefficients that affect the non-safety quality evaluation parameters of toys and teaching aids; Non-safety quality evaluation parameters of toys and teaching aids Compared with the preset non-safety quality evaluation parameters of educational toys Compare; like , generating a signal that the toys and teaching aids are not of qualified safety quality.

5. A toy and teaching aid quality control production management system according to claim 4, characterized in that: The process of obtaining the appearance evaluation coefficient of the teaching aid comprises: The standard three-dimensional image of the teaching aid is used as a sample for convolutional neural network learning to obtain a trained convolutional neural network model; The assembled toys are photographed in all directions by a high-definition camera, and the collected 3D image information of the toys is imported into the trained convolutional neural network model, compared with the standard 3D image samples in the model, and the percentage of the imported image samples and the standard samples is output. This value is the appearance evaluation coefficient of the toys. .

6. A toy and teaching aid quality control production management system according to claim 5, characterized in that: The strength quality parameter acquisition process includes: ， The strength quality parameters of the toys and teaching aids are calculated by the above formula ; in, It is the average value of the compressive strength limit value of educational toys obtained by sampling at a preset test frequency within a preset time period. It is the average service life of educational toys obtained by sampling at a preset test frequency within a preset time period. and are all dimension weight coefficients.

7. A toy and teaching aid quality control production management system according to claim 6, characterized in that: The adjustment process of the preset detection frequency includes: ， The preset detection frequency is calculated by the above formula ; in, for The rounding function of is the standard detection frequency, The number of non-safety quality inspection failures within a preset time period. To adjust the parameters.

Images