Testing system, method and device for testing toothbrushes
The static load resistance index of toothbrushes is evaluated through the test system, which solves the accuracy and efficiency of toothbrush anti-load capacity evaluation in the prior art, and realizes the effective evaluation of toothbrush cleaning ability and standardization of the testing process.
Patent Information
- Application Number
- CN202310723840.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-16
- Publication Date
- 2024-12-17
AI Technical Summary
The prior art is difficult to effectively evaluate the load resistance of toothbrushes, which affects the accuracy and efficiency of their quality assessment.
Provide a test system, including a test platform, a load application device, a fixing device and an image acquisition device, to obtain the bending pressure threshold of the brush wire cluster, the brush wire stiffness and Fitness, calculate the static load resistance index of the toothbrush to indicate the ability of the brush thread cluster to resist swing attenuation.
The cleaning ability of the toothbrush is objectively represented by the static load resistance index, standardizes the testing process, improves the testing efficiency and reduces errors.
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Figure CN119147191A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of testing technology, and in particular to a testing system, method and device for testing a toothbrush. Background Art
[0002] Toothbrushes have the characteristics of strong cleaning power and convenience and labor saving, and are used by more and more users. In actual application, users place the brush head of the toothbrush on the teeth and let the brush head rotate automatically to remove foreign matter.
[0003] The load-brush resistance is used to evaluate the quality of the toothbrush. For example, in the related art, a load is placed on the brush head of the toothbrush, and then the overall swing angle of the brush head and the swing performance of the motor under the load are detected. The performance of the toothbrush is determined based on the overall swing angle of the brush head and the swing performance of the motor, thereby determining whether the toothbrush meets the quality acceptance standards. Summary of the invention
[0004] The present disclosure provides a testing system, method and device for testing a toothbrush to address the deficiencies of the related art.
[0005] According to a first aspect of an embodiment of the present disclosure, there is provided a testing system for testing a toothbrush, the system comprising: a testing platform, a load applying device, a fixing device, an image acquisition device and a processing device;
[0006] The load applying device is used to apply a load to the brush head of the toothbrush so that a force is formed at the contact position between the brush head of the toothbrush and the test platform;
[0007] The fixing device is used to fix the toothbrush to be tested;
[0008] The image acquisition device is used to acquire an image when the brush filaments of the brush head of the toothbrush are in contact with the test platform;
[0009] The processing device is electrically connected to the load applying device and the image acquisition device, respectively, and the processing device is used to perform at least one of the following operations:
[0010] determining a bending pressure threshold of the brush filament cluster according to the image when a load is applied to the brush head;
[0011] Obtaining the filament stiffness of a single filament in a filament cluster of the toothbrush;
[0012] Obtaining the degree of fit between the toothbrush head and the teeth, wherein the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model;
[0013] The static load resistance index of the toothbrush head is determined according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied.
[0014] Optionally, the fixing device includes a robotic arm and a fixing platform, wherein the fixing platform is arranged on the robotic arm and is used to fix the toothbrush inserted into the slot when moving to a preset position; the robotic arm is used to adjust the spatial position of the fixing platform so that the brush head of the toothbrush contacts the test platform.
[0015] Optionally, the test platform includes a transparent plate, a base and a slide rail, wherein one end of the slide rail is fixed to the base, and the other end of the slide rail is fixed to the transparent plate, and the slide rail is used to adjust the height of the transparent plate.
[0016] Optionally, the load applying device comprises a first support wheel, a second support wheel, a load rope and a load plate, wherein one end of the load rope is fixed to the first support wheel, the other end of the load rope is fixed to the load plate, and a portion of the load rope located between the first support wheel and the second support wheel passes through a preset hole of the slide rail;
[0017] The load rope is used to apply a load to the slide rail when a load is placed in the load plate, so that the transparent plate applies a load to the bristles of the brush head.
[0018] Optionally, the image acquisition device includes a first camera and a second camera, and the first camera and the second camera are electrically connected to the processing device respectively;
[0019] The first camera is arranged on a side of the test platform away from the brush head, and is used to capture an image of the brush filaments of the brush head from the front;
[0020] The second camera is arranged on a side of the test platform where the brush head is arranged, and is used to capture an image of the bristles of the brush head from the side of the toothbrush.
[0021] Optionally, the testing system further comprises a brush filament stiffness detection device, which is electrically connected to the processing device and is used to obtain the brush filament stiffness of the toothbrush and send the obtained brush filament stiffness to the processing device.
[0022] According to a second aspect of an embodiment of the present disclosure, a testing method is provided, applicable to the testing system according to any one of the first aspects, the method comprising:
[0023] Acquire a bending pressure threshold of the filament cluster of the toothbrush, wherein the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or recovers to an upright position;
[0024] Obtaining the filament stiffness of a single filament in a filament cluster of the toothbrush;
[0025] Obtaining the degree of fit between the toothbrush head and the teeth; the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model;
[0026] The static load resistance index of the toothbrush head is determined according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied.
[0027] Optionally, the bending pressure threshold includes a positive pressure bending pressure threshold, and obtaining the bending pressure threshold of the filament cluster of the toothbrush includes:
[0028] When the brush head of the toothbrush is placed on the surface of the test platform and a load of a first preset weight is placed on the brush head, a first state image of the brush filament cluster of the brush head is acquired;
[0029] Increasing the load in sequence according to a preset weight step length, and obtaining a second state image of the brush filament cluster of the brush head under the current load;
[0030] Respectively identifying the shapes of the brush filament clusters in the first state image and the second state image to obtain a first shape and a second shape;
[0031] When it is determined that the similarity between the first shape and the second shape is less than or equal to a first similarity threshold, the pressure value corresponding to the current load is determined to be a positive pressure bending pressure threshold of the brush filament cluster.
[0032] Optionally, the method further comprises:
[0033] Obtaining multiple groups of positive pressure bending pressure thresholds of the brush filament cluster;
[0034] An average value of the plurality of groups of positive pressure bending pressure thresholds is determined, and the average value is used as a final positive pressure bending pressure threshold of the filament cluster of the toothbrush.
[0035] Optionally, the bending pressure threshold includes a reverse pressure bending pressure threshold, and obtaining the bending pressure threshold of the filament cluster of the toothbrush includes:
[0036] When the brush head of the toothbrush is placed on the surface of the test platform and a load of a second preset weight is placed on the brush head, a third state image of the brush filament cluster of the brush head is obtained;
[0037] Reduce the load in sequence according to a preset weight step length, and obtain a fourth state image of the brush filament cluster of the brush head under the current load;
[0038] Respectively identifying the shapes of the brush filament clusters in the third state image and the fourth state image to obtain a third shape and a fourth shape;
[0039] When it is determined that the similarity between the third shape and the fourth shape is less than or equal to the second similarity threshold, the pressure value corresponding to the current load is determined to be the reverse pressure bending pressure threshold of the brush filament cluster.
[0040] Optionally, the method further comprises:
[0041] Obtaining multiple groups of reverse pressure bending pressure thresholds of the brush filament cluster;
[0042] An average value of the multiple groups of reverse pressure bending pressure thresholds is determined, and the average value is used as the final reverse pressure bending pressure threshold of the filament cluster of the toothbrush.
[0043] Optionally, obtaining the degree of fit between the brush head of the toothbrush and the teeth includes:
[0044] Obtaining the contact area between the brush head of the toothbrush and each tooth in a specified area of the dental model;
[0045] The fit of the toothbrush is obtained according to the contact area corresponding to each tooth and the area of the brush head.
[0046] Optionally, obtaining the degree of fit of the toothbrush according to the contact area corresponding to each tooth and the area of the brush head includes:
[0047] Obtaining an average area value of the dental model according to the contact areas corresponding to the teeth of the dental model;
[0048] The ratio of the average area to the area of the brush head is obtained, and the ratio is used as the fit of the toothbrush.
[0049] Optionally, determining the static load resistance index of the toothbrush head according to the bending pressure threshold, the brush filament stiffness and the fit degree comprises:
[0050] Respectively obtaining weight values of the bending pressure threshold, the brush filament stiffness and the fit degree;
[0051] Respectively obtain the product of the bending pressure threshold and its weight value, the brush filament stiffness and its weight value, and the fit degree and its weight value to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data;
[0052] The sum of the pressure weighted data, the stiffness weighted data and the fit weighted value is obtained, and the sum is used as the static load resistance index of the toothbrush head.
[0053] Optionally, the method further comprises:
[0054] Obtaining the brush wire hole area of the brush wire hole on the brush head of the toothbrush;
[0055] The static load resistance index of the toothbrush head is determined according to the filament hole area, the bending pressure threshold, the filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the filament cluster of the toothbrush to resist swing attenuation when a load is applied.
[0056] Optionally, obtaining the brush filament hole area of the brush filament hole on the brush head of the toothbrush includes:
[0057] In response to brush filaments of the brush head being removed, acquiring a brush head image including the brush head;
[0058] Identify brush holes in the brush head image to obtain the area of each brush hole;
[0059] The sum of the areas of the brush holes is obtained to obtain the brush hole area of the brush holes.
[0060] Optionally, a static load resistance index of the brush head of the toothbrush is determined according to the brush filament hole area, the bending pressure threshold, the brush filament stiffness and the fit degree, and the brush head static load resistance index is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied, including:
[0061] Obtaining the ratio of the bending pressure threshold to the brush wire hole area to obtain the brush wire pressure;
[0062] Obtaining weight values of the brush wire pressure, the brush wire stiffness and the degree of fit respectively;
[0063] Respectively obtain the product of the brush wire pressure and its weight value, the brush wire stiffness and its weight value, and the fit degree and its weight value to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data;
[0064] The sum of the pressure weighted data, the stiffness weighted data and the fit weighted value is obtained, and the sum is used as the static load resistance index of the toothbrush head.
[0065] Optionally, the static load resistance index of the brush head is expressed by the following formula:
[0066]
[0067] In the formula, M represents the static load resistance index of the brush head. They represent the forward brush wire pressure and the reverse brush wire pressure respectively, H represents the material stiffness of a single brush wire, Y represents the fit of the brush head, a2, b2, c2 and d2 represent the weight values of the forward brush wire pressure, the reverse brush wire pressure, the brush wire stiffness and the fit of a single brush wire respectively.
[0068] According to a third aspect of an embodiment of the present disclosure, a testing device is provided, applicable to the testing system according to any one of the first aspects, the device comprising:
[0069] A pressure threshold acquisition module, used to acquire a bending pressure threshold of the filament cluster of the toothbrush, wherein the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or resumes uprightness;
[0070] A brush wire stiffness acquisition module, used to acquire the brush wire stiffness of a single brush wire in a brush wire cluster of the toothbrush;
[0071] A fitting degree acquisition module, used to obtain the fitting degree between the brush head of the toothbrush and the teeth; the fitting degree refers to the effective contact area between the toothbrush and the teeth in the dental model;
[0072] The anti-load index acquisition module is used to determine the static anti-load index of the toothbrush head according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static anti-load index of the brush head is used to indicate the ability of the toothbrush filament cluster to resist swing attenuation when a load is applied.
[0073] Optionally, the bending pressure threshold includes a positive pressure bending pressure threshold, and the pressure threshold acquisition module includes:
[0074] A first image acquisition submodule, configured to acquire a first state image of a bristle cluster of the toothbrush head when the toothbrush head is placed on a surface of a test platform and a load of a first preset weight is placed on the toothbrush head;
[0075] A second image acquisition submodule is used to sequentially increase the load according to a preset weight step length to acquire a second state image of the brush filament cluster of the brush head under the current load;
[0076] A shape acquisition submodule, used to respectively identify the shapes of the brush filament clusters in the first state image and the second state image to obtain a first shape and a second shape;
[0077] The positive threshold acquisition submodule is used to determine the pressure value corresponding to the current load as the positive pressure bending pressure threshold of the brush filament cluster when it is determined that the similarity between the first shape and the second shape is less than or equal to a first similarity threshold.
[0078] Optionally, the pressure threshold acquisition module further includes:
[0079] A bending pressure acquisition submodule, used to acquire multiple groups of positive pressure bending pressure thresholds of the brush filament cluster;
[0080] The forward threshold value acquisition submodule is further used to determine the average value of the multiple groups of forward pressure bending pressure thresholds, and use the average value as the final forward pressure bending pressure threshold of the bristle cluster of the toothbrush.
[0081] Optionally, the bending pressure threshold includes a reverse pressure bending pressure threshold, and the pressure threshold acquisition module includes:
[0082] A third image acquisition submodule, configured to acquire a third state image of the brush filament clusters of the toothbrush head when the toothbrush head is placed on the surface of the test platform and a load of a second preset weight is placed on the toothbrush head;
[0083] A fourth image acquisition submodule, used to sequentially reduce the load according to a preset weight step length, and acquire a fourth state image of the brush filament cluster of the brush head under the current load;
[0084] A shape acquisition submodule, used to respectively identify the shapes of the brush filament clusters in the third state image and the fourth state image to obtain a third shape and a fourth shape;
[0085] The reverse threshold acquisition submodule is used to determine the pressure value corresponding to the current load as the reverse pressure bending pressure threshold of the brush filament cluster when it is determined that the similarity between the third shape and the fourth shape is less than or equal to the second similarity threshold.
[0086] Optionally, the pressure threshold acquisition module further includes:
[0087] A bending pressure acquisition submodule, used to acquire multiple groups of reverse pressure bending pressure thresholds of the brush filament cluster;
[0088] The reverse threshold acquisition submodule is used to determine the average value of the multiple groups of reverse pressure bending pressure thresholds, and use the average value as the final reverse pressure bending pressure threshold of the bristle cluster of the toothbrush.
[0089] Optionally, the fit degree acquisition module includes:
[0090] A contact area acquisition submodule, used to acquire the contact area between the brush head of the toothbrush and each tooth in a specified area of the dental model;
[0091] The fit degree acquisition submodule is used to obtain the fit degree of the toothbrush according to the contact area corresponding to each tooth and the area of the brush head.
[0092] Optionally, the fit degree acquisition submodule includes:
[0093] An area average value obtaining unit, used for obtaining the area average value of the dental cast according to the contact areas corresponding to the teeth of the dental cast;
[0094] The fit degree acquisition unit is used to acquire the ratio of the average area value to the area of the brush head, and use the ratio as the fit degree of the toothbrush.
[0095] Optionally, the load resistance index acquisition module includes:
[0096] A weight value acquisition submodule, used to respectively acquire weight values of the bending pressure threshold, the brush filament stiffness and the fit degree;
[0097] A weighted data acquisition submodule, for respectively acquiring the product of the bending pressure threshold and its weight value, the brush filament stiffness and its weight value, and the fit degree and its weight value, to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data;
[0098] The anti-load index acquisition submodule is used to obtain the sum of the pressure weighted data, the stiffness weighted data and the fit weight value, and use the sum as the static anti-load index of the toothbrush head.
[0099] Optionally, the device further comprises:
[0100] A brush wire hole area acquisition module, used to acquire the brush wire hole area of the brush wire hole on the brush head of the toothbrush;
[0101] The load resistance index acquisition module is also used to determine the static load resistance index of the toothbrush head according to the brush wire hole area, the bending pressure threshold, the brush wire stiffness and the fit degree. The static load resistance index of the brush head is used to indicate the ability of the toothbrush brush wire cluster to resist swing attenuation when a load is applied.
[0102] Optionally, the brush hole area acquisition module includes:
[0103] A brush head image acquisition submodule, for acquiring a brush head image including the brush head in response to brush filaments of the brush head being removed;
[0104] A brush head image recognition submodule, used to identify the brush filament holes in the brush head image and obtain the area of each brush filament hole;
[0105] The brush hole area acquisition submodule is used to acquire the sum of the areas of the brush holes to obtain the brush hole area of the brush holes.
[0106] Optionally, the load resistance index acquisition module includes:
[0107] A brush wire pressure acquisition submodule, used to acquire the ratio of the bending pressure threshold to the brush wire hole area to obtain the brush wire pressure;
[0108] A weight value acquisition submodule, used to respectively acquire the weight values of the brush wire pressure, the brush wire stiffness and the fit;
[0109] A weighted data acquisition submodule, used to respectively acquire the product of the brush wire pressure and its weight value, the brush wire stiffness and its weight value, and the fit degree and its weight value, to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data;
[0110] The anti-load index acquisition submodule is used to obtain the sum of the pressure weighted data, the stiffness weighted data and the fit weight value, and use the sum as the static anti-load index of the toothbrush head.
[0111] Optionally, the static load resistance index of the brush head is expressed by the following formula:
[0112]
[0113] In the formula, M represents the static load resistance index of the brush head. They represent the forward brush wire pressure and the reverse brush wire pressure respectively, H represents the material stiffness of a single brush wire, Y represents the fit of the brush head, a2, b2, c2 and d2 represent the weight values of the forward brush wire pressure, the reverse brush wire pressure, the brush wire stiffness and the fit of a single brush wire respectively.
[0114] According to a fourth aspect of an embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, and when an executable computer program in the storage medium is executed by a processor, the method described in any one of the first aspects can be implemented.
[0115] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:
[0116] The test method provided by the embodiment of the present disclosure can first obtain the bending pressure threshold of the filament cluster of the toothbrush, and the bending pressure threshold is used to indicate the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or resumes uprightness; obtain the filament stiffness of a single filament in the filament cluster of the toothbrush; obtain the fit between the brush head of the toothbrush and the teeth; the fit refers to the effective contact area between the toothbrush and the teeth in the dental model; determine the static load resistance index of the brush head of the toothbrush according to the bending pressure threshold, the filament stiffness and the fit, and the static load resistance index of the brush head is used to indicate the ability of the filament cluster of the toothbrush to resist swing attenuation when a load is applied. In this way, in this embodiment, the static load resistance index of the brush head is used to objectively indicate the ability of the filament cluster to resist swing attenuation, thereby indicating the ability of the toothbrush to clean teeth, and the test process can be standardized to achieve the effect of improving test efficiency.
[0117] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0118] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0119] Figure 1 It is a block diagram of a test system according to an exemplary embodiment.
[0120] Figure 2 The figure is a flow chart of a testing method according to an exemplary embodiment.
[0121] Figure 3 The present invention is a flow chart showing a method of obtaining a positive pressure bending pressure threshold according to an exemplary embodiment.
[0122] Figure 4 It is a schematic diagram of a first state image of a brush filament cluster maintained in an upright state according to an exemplary embodiment.
[0123] Figure 5 It is a schematic diagram of a second state image of a brush filament cluster beginning to bend according to an exemplary embodiment.
[0124] Figure 6 The present invention is a flow chart showing a method for obtaining a reverse pressure bending pressure threshold according to an exemplary embodiment.
[0125] Figure 7 is a schematic diagram of a dental model according to an exemplary embodiment.
[0126] Figure 8 is a schematic diagram of a designated area of a dental model according to an exemplary embodiment.
[0127] Fig. 9 is a schematic diagram showing the contact area between a toothbrush and teeth according to an exemplary embodiment.
[0128] Fig.10 is a flow chart showing another testing method according to an exemplary embodiment.
[0129] Fig.11 It is a block diagram of a testing device according to an exemplary embodiment. DETAILED DESCRIPTION
[0130] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described below by way of example do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices consistent with some aspects of the present disclosure as detailed in the appended claims.
[0131] To solve the above technical problems, the embodiments of the present disclosure provide a testing system, method and device for testing toothbrushes, which are suitable for testing toothbrushes, such as electric toothbrushes or manual toothbrushes. Of course, it should be understood that the testing device and method described in the present disclosure are also suitable for other brush products, such as carpet brushes, paint brushes, shoe brushes, etc. The above testing method can be implemented by the testing system. Figure 1 The test system 10 for testing a toothbrush comprises: a test platform 11, a load applying device 12, a fixing device 13, an image acquisition device 14 and a processing device 15. The test platform 11 can contact with the toothbrush to be tested to simulate the scene of using a toothbrush;
[0132] The load applying device 12 is used to apply a load to the brush head of the toothbrush so that a force is formed at the contact position between the brush head of the toothbrush and the test platform 11;
[0133] The fixing device 13 is used to fix the toothbrush to be tested;
[0134] The image acquisition device 14 is used to acquire an image when the brush filaments of the toothbrush head are in contact with the test platform 11;
[0135] The processing device 15 is electrically connected to the load applying device 12 and the image acquisition device 14 respectively, and the processing device 15 is used to perform at least one of the following operations:
[0136] Controlling the load applying device 12 to increase or decrease the weight of the load to the brush head according to a preset weight step;
[0137] determining a bending pressure threshold of the brush filament cluster according to the image when a load is applied to the brush head;
[0138] Obtaining the filament stiffness of a single filament in a filament cluster of a toothbrush;
[0139] Obtaining the degree of fit between the toothbrush head and the teeth, wherein the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model;
[0140] The static load resistance index of the toothbrush head is determined according to the bending pressure threshold, the brush filament stiffness and the fit. The static load resistance index of the toothbrush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist the attenuation of swing when a load is applied.
[0141] In this embodiment, the fixing device 13 may include a mechanical arm and a fixed platform, which is arranged on the mechanical arm and is used to fix the toothbrush inserted into the slot when it moves to a preset position. The movement mode of the fixed platform can be knob movement or buckle movement, which can be selected according to the specific scenario. The mechanical arm can have six degrees of freedom, namely, up and down directions, left and right directions, front and back directions and corresponding rotations, or translation or rotation in the x-axis, y-axis and z-axis directions of the coordinate system where the mechanical arm is located. The mechanical arm is used to adjust the spatial position of the fixed platform so that the brush head of the toothbrush contacts the platform test platform. It is understandable that the above-mentioned mechanical arm can be controlled by a processing device, that is, the processing device can control the mechanical arm to move the fixed platform in at least one direction of up and down, left and right, and front and back to adjust the direction of the toothbrush, so that the position of the brush head of the toothbrush is adjusted by adjusting the direction of the toothbrush, so that the brush wire plane of the brush head contacts the test platform 11. In one example, when no load is applied, the force between the brush wire plane and the test platform 11 is 0.
[0142] Considering that the lengths of the bristles of some toothbrushes are different, for example, the length of the bristles in the middle area is shorter than the length of the bristles at both ends, in this scenario, the bristles at both ends of the brush head can be cut so that the length of the bristles at both ends is the same as the length of the bristles in the middle area, forming a bristle plane.
[0143] In this embodiment, the test platform may be transparent, for example, and include a transparent plate, a base, and a slide rail; one end of the slide rail is fixed to the base, and the other end of the slide rail is fixed to the transparent plate, and is used to adjust the height of the transparent plate. For example, when the slide rail is subjected to an external force, its inclination angle with the horizontal plane will change, thereby adjusting the height of the transparent plate, or the slide rail is used to adjust the height of the transparent plate when subjected to an external force, so that the transparent plate and the brush wire plane of the toothbrush (in contact with the toothbrush) are in contact with the above-mentioned transparent plate, thereby simulating the scene of the user brushing his teeth.
[0144] In this embodiment, the load applying device includes a first support wheel, a second support wheel, a load rope and a load disk; one end of the load rope is fixed to the first support wheel, and the other end of the load rope is fixed to the load disk. The portion of the load rope located between the first support wheel and the second support wheel passes through a preset hole in the slide rail, and is used to apply a load to the slide rail when a load is inserted into the load disk, so that the transparent plate applies a load to the bristles of the brush head. The pressure corresponding to the load can simulate the pressing force of the user when brushing his teeth.
[0145] In this embodiment, the above load can be realized by using standard weights (10g, 20g, 50g, 100g, 200g). In one example, when the load is applied in the positive direction, i.e., the load is increased, the load is added to the brush head step by step starting from the first preset weight until the brush filaments begin to bend; when the load is applied in the reverse direction, i.e., the load is reduced, the load is reduced step by step starting from the second preset weight. In addition, the pressure threshold at which the brush filaments of the toothbrush head undergo stress deformation can be given by quantitative objective data.
[0146] In one embodiment, the processing device can also control the robot arm to hold the toothbrush to brush teeth up, down, left, right, front, and back. In one example, the Bass brushing method is used to brush each tooth of the dental mold, for example, brushing the outer surface of the dental mold at 45 degrees for a certain period of time (such as 1 minute) to simulate the scene of the user brushing his teeth with a toothbrush. In this embodiment, the brush head of the toothbrush can be controlled to brush at least one dental mold for a preset time. Then, after the brushing is completed, the dental mold is cleaned (set time, such as 0 to 120 seconds) and dried to complete the brushing operation.
[0147] It should be noted that in this embodiment, the number of dental models is at least one, and one dental model can be used to test it multiple times, or multiple dental models can be used to test them separately. In short, each dental model can be washed at least once, and the fitting degree corresponding to at least one dental model can be obtained by repeating the dental model washing operation, wherein the fitting degree refers to the effective contact area between the toothbrush and the teeth in the dental model, that is, the detection error can be reduced by repeated operations.
[0148] It should also be noted that the fit of the above embodiment is suitable for testing toothbrushes. When testing test objects such as carpet brushes, paint brushes or shoe brushes, the effective contact area between the brush surface of the test object and the brushed object can be used as the fit. For example, when testing a shoe brush, the upper of the shoe can be used as the brushed object, and the effective contact area between the shoe brush and the upper can be obtained as the fit; when testing a paint brush, the brushed object can be a wall or door or window, and the effective contact area between the paint brush and the wall or door or window can be obtained as the fit. Those skilled in the art can determine the fit according to the specific scenario. If the effective area of the test object can be characterized when it is working, the corresponding solution falls within the scope of protection of this disclosure.
[0149] In one embodiment, the test system also includes a brush wire stiffness detection device. Among them, the brush wire stiffness, that is, the material stiffness of the brush wire, refers to the ability of the brush wire to resist elastic deformation under load. For example, when the material stiffness is greater, the brush wire is more difficult to deform; when the material stiffness is smaller, the brush wire is easier to deform. The stiffness (or rigidity) of the brush wire is usually expressed by the force or torque required for unit deformation. The magnitude of the stiffness depends on the geometric shape and material type of the brush wire (that is, the elastic modulus of the material). After the brush wire of the toothbrush is placed in the brush wire stiffness detection device, the material stiffness of the brush wire can be obtained. The material stiffness can be obtained by measuring the linear position and angular displacement of the brush wire. For details, please refer to the relevant technology. The processing device communicates with the above-mentioned brush wire stiffness detection device and can obtain the material stiffness of the brush wire sent by the brush wire stiffness detection device.
[0150] In this embodiment, the image acquisition device can be implemented by a digital camera or a camera, etc. In one example, the image acquisition device includes a first camera and a second camera. The first camera and the second camera are electrically connected to the processing device respectively; the first camera is arranged on a side of the test platform away from the brush head, and is used to take an image of the brush filaments of the brush head from the bottom; the second camera is arranged on a side of the test platform where the brush head is arranged, and is used to take an image of the brush filaments of the brush head from the side of the toothbrush.
[0151] It is understandable that an image of the bristles is taken when a load is applied to the brush head of the toothbrush. In one example, before and after the weight of the load applied to the brush head changes, the image acquisition device can obtain an image at the same shooting angle; and identify the above two images respectively to obtain the change in the shape of the brush filaments before and after the increase or decrease of the load, so as to determine whether the brush filaments are bent or restored to an upright position. It is understandable that in this embodiment, by determining the change in the shape of the brush filaments, the bending pressure threshold of the brush filament cluster can be determined, and the above bending pressure threshold is used to represent the pressure value applied to the toothbrush when the brush filament cluster of the toothbrush is bent or restored to an upright position.
[0152] It should be noted that the image acquisition device can capture an image of the brush filaments of the toothbrush from the front (bottom or top, the shooting direction is determined according to the orientation of the brush head) through the test platform 11, or capture an image of the brush filaments from the side of the toothbrush. The technician can select at least one shooting angle to capture the image according to the specific scene, and obtain the parameters of the toothbrush, such as the bending pressure threshold or the degree of fit, etc. The corresponding scheme falls within the scope of protection of the present disclosure. For the convenience of description, the above parameters are obtained by taking an image at one shooting angle in the subsequent embodiments.
[0153] Based on the above-mentioned testing system for testing a toothbrush, the embodiment of the present disclosure further provides a testing method for testing a brush component such as a toothbrush. Figure 2 is a flow chart of a testing method according to an exemplary embodiment. Figure 2 According to the testing method disclosed in the present invention, it includes steps 21 to 24.
[0154] In step 21, a bending pressure threshold of the filament cluster of the toothbrush is obtained, where the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or resumes its upright position.
[0155] In this embodiment, the filament clusters may be all filament clusters of the toothbrush, or filament clusters at a specified position of the toothbrush. The specified position may be the central area of the toothbrush, which is a circular area formed by the center point of the filament area of the toothbrush, and the radius of the circular area may be selected according to the specific scenario, such as 1-5 mm.
[0156] In this embodiment, the bending pressure threshold includes a positive pressure bending pressure threshold and a reverse pressure bending pressure threshold. The positive pressure bending pressure threshold refers to the bending pressure threshold measured during the process of increasing the load of the toothbrush; the reverse pressure bending pressure threshold refers to the bending pressure threshold measured during the process of reducing the load of the toothbrush.
[0157] In one example, the bending pressure threshold includes a positive pressure bending pressure threshold. The processing device can obtain the bending pressure threshold of the bristle cluster of the toothbrush, see Figure 3 , including steps 31 to 34.
[0158] In step 31, when the brush head of the toothbrush is placed on the surface of a test platform and a load of a first preset weight is placed on the brush head, a first state image of the bristle clusters of the brush head is acquired.
[0159] In this step, the brush head of the toothbrush is placed on the surface of the test platform so that the brush filament plane contacts the surface of the test platform; then, a load of a first preset weight is placed on the brush head. The value range of the first preset weight is [0, 30] g. It is understandable that the setting of the first preset weight can be set according to the specific scenario. When the brush filament cluster of the brush head maintains the same shape or the brush filament remains upright without bending, the corresponding solution falls within the protection scope of the present disclosure.
[0160] In this step, when it is detected that the brush head is placed on the test platform and a load of a first preset weight is placed, the processing device can control the image acquisition device to use a state image of the brush filament cluster containing the brush head, which is subsequently referred to as the first state image for distinction. Figure 4 See Figure 4 , the filament cluster 42 on the toothbrush 41 contacts the test platform 11, and the filament cluster 42 remains in an upright state. The processing device can obtain the first state image sent by the image acquisition device.
[0161] In step 32, the load is increased in sequence according to a preset weight step length to obtain a second state image of the brush filament cluster of the brush head under the current load.
[0162] In this step, the processing device can control the load application device to control the preset weight step to add load to the brush head. The value range of the preset weight step is [1, 20] g. In one example, the value of the preset weight step is 10 g. It should be noted that the preset weight step can be set according to the specific scenario. For example, when the material of the brush wire is harder, the preset weight step can be larger, such as (10, 20] g; for example, when the material of the brush wire is softer, the preset weight step can be smaller, such as [1, 10] g. When it is possible to distinguish that the brush wire begins to bend, the corresponding solution falls within the protection scope of the present disclosure.
[0163] In this step, after each load increase, the processor can control the image acquisition device to use the state image of the brush filament cluster containing the brush head, which is subsequently referred to as the second state image for distinction. Figure 5 See Figure 5 , the brush filament cluster 52 on the toothbrush 51 contacts the test platform 11, and the brush filament cluster 52 remains in a bent state. The processing device can obtain the first state image sent by the image acquisition device. The processing device can obtain the second state image sent by the image acquisition device.
[0164] In step 33, the shapes of the brush filament clusters in the first state image and the second state image are respectively identified to obtain a first shape and a second shape.
[0165] In this step, the processing device can identify the shape of the brush filament cluster in the first state image to obtain the first shape. Similarly, the processing device can identify the shape of the brush filament cluster in the second state image to obtain the second shape.
[0166] In this step, the processing device may store an image recognition model, which may include but is not limited to a convolutional neural network, a recurrent neural network, a GAN network, etc. If the brush filament clusters in the image can be identified, the corresponding model falls within the protection scope of the present disclosure.
[0167] It should be noted that the above-mentioned first shape and second shape are represented by vectors, which may include the position, derivative or distance to adjacent points of each edge point in the brush filament cluster, etc., which can be selected according to the specific scenario and will not be elaborated here.
[0168] In step 34, when it is determined that the similarity between the first shape and the second shape is less than or equal to a first similarity threshold, the pressure value corresponding to the current load is determined as a positive pressure bending pressure threshold of the brush filament cluster.
[0169] In this step, the processing device can obtain the similarity between the first shape and the second shape. The scheme for calculating the similarity can be implemented by using the cosine distance, so that the similarity between the first shape and the second shape can be converted into two vectors to calculate the cosine value. The scheme for calculating the cosine value of two vectors can refer to the relevant technology and will not be repeated here.
[0170] In this step, the first similarity threshold is stored in the processing device, and the value range of the first similarity threshold is [85.0, 99.9]. The processing device can obtain the first similarity threshold, and compare the similarity between the first shape and the second shape with the above-mentioned first similarity threshold to obtain the size relationship between the two. When the similarity between the first shape and the second shape is greater than or equal to the above-mentioned first similarity threshold, it can be determined that the shape of the brush filament cluster has not changed, that is, the brush filament cluster remains in an upright state without bending. When the similarity between the first shape and the second shape is less than the above-mentioned first similarity threshold, it can be determined that the shape of the brush filament cluster has changed, that is, the brush filament cluster has bent from an upright state. Considering that the load continues to increase, and the processing device continues to determine whether the brush filament cluster is deformed based on the first state image and the second state image, and when the brush filament cluster in the second state image is detected for the first time, it can be determined that the brush filament cluster begins to bend.
[0171] It should be noted that step 33 and step 34 can be implemented using another neural network model. The input of the neural network model is the first state image and the second state image, or the superimposed image of the first state image and the second state image. Then, the neural network model can identify at least two groups from the input image. Afterwards, the neural network model can calculate the similarity of at least two groups. When the similarity is greater than or equal to the first similarity threshold, the neural network model can output a first detection result, which indicates that the brush filament cluster remains upright without bending. When the similarity between the first shape and the second shape is less than the above-mentioned first similarity threshold, the neural network model can output a second detection result, which indicates that the brush filament cluster begins to bend from the upright state.
[0172] It should be noted that step 33 and step 34 can be implemented using another neural network model. The input of the neural network model is the first state image and the second state image, or the superimposed image of the first state image and the second state image. Then, the neural network model can identify the brush filament clusters from the input image and obtain the connected domains corresponding to each brush filament cluster; then, calculate the area difference of the connected domains of the brush filament clusters; when the area difference is less than the area difference threshold, it is determined that the shape of the brush filament cluster has not changed, and the second detection result is output at this time; when the area difference is greater than or equal to the area difference threshold, it is determined that the shape of the brush filament cluster has changed, that is, the brush filaments have begun to bend, and the first detection result is output at this time.
[0173] It should be noted that those skilled in the art can select a suitable model according to the specific scenario to determine the solution in which the brush filament cluster begins to bend after the load is increased, and the corresponding solution falls within the protection scope of the present disclosure.
[0174] In this embodiment, after it is determined that the brush filament cluster begins to bend, the pressure value corresponding to the weight of the current load can be determined as the positive pressure bending pressure threshold.
[0175] In another embodiment, repeat Figure 3 The illustrated scheme is repeated multiple times, and the processing device can obtain multiple groups of positive pressure bending pressure thresholds of the brush filament cluster. Then, the processing device can determine the average value of the multiple groups of positive pressure bending pressure thresholds, and use the average value as the final positive pressure bending pressure threshold of the brush filament cluster of the toothbrush. In this way, this embodiment is conducive to improving the accuracy of the detection result by obtaining the average value of the positive pressure bending pressure threshold as the final result.
[0176] In another example, the bending pressure threshold includes a reverse pressure bending pressure threshold, and the bending pressure threshold of the brush filament cluster of the toothbrush is obtained. Figure 6 , including steps 61 to 64:
[0177] In step 61, when the brush head of the toothbrush is placed on the surface of the test platform and the brush head is loaded with a second preset weight, a third state image of the bristle clusters of the brush head is acquired.
[0178] In this example, the scheme of step 61 is similar to the scheme of step 31. For details, please refer to the content of step 31. The difference is that the brush head sets a load of a second preset weight, and the value range of the second preset weight is [150, 250] g. In one example, the value of the second preset weight is 200 g. In other words, the first preset weight indicates the weight that keeps the brush filament cluster upright, while the second preset weight indicates the weight that keeps the brush filament cluster bent.
[0179] In this way, the processing device in this step can obtain the state image of the brush filament cluster, which is subsequently referred to as the third state image for distinction.
[0180] In step 62, the load is reduced in sequence according to a preset weight step length to obtain a fourth state image of the brush filament cluster of the brush head under the current load.
[0181] In this example, the scheme of step 62 is similar to the scheme of step 32. Please refer to the content of step 32 for specific content. The difference is that the load on the brush head is reduced once and an image of the brush filament cluster is taken once. In this way, the processing device can obtain the state image of the brush filament cluster under the current load, which is subsequently referred to as the fourth state image.
[0182] In step 63, the shapes of the brush filament clusters in the third state image and the fourth state image are respectively identified to obtain a third shape and a fourth shape.
[0183] In this example, the solution of step 63 is similar to the solution of step 33, the difference between them is that the input image is different. For other contents, please refer to the contents of step 33.
[0184] In step 64, when it is determined that the similarity between the third shape and the fourth shape is less than or equal to the second similarity threshold, the pressure value corresponding to the current load is determined as the reverse pressure bending pressure threshold of the brush filament cluster.
[0185] In this step, the scheme of step 64 is similar to the scheme of step 34. Please refer to the content of step 34 for specific content. The difference is that in step 34, the brush filament cluster changes from an upright state to a beginning bending state, while in step 64, the brush filament cluster changes from a bending state to a straight state.
[0186] In this embodiment, when determining that the brush filament cluster is restored from a bent state to an upright state, a pressure value corresponding to the weight of the current load may be determined as a reverse pressure bending pressure threshold.
[0187] In another embodiment, repeat Figure 6 In the illustrated scheme, the processing device can obtain multiple groups of reverse pressure bending pressure thresholds of the brush filament clusters. Then, the processing device can determine the average value of the multiple groups of reverse pressure bending pressure thresholds, and use the average value as the final reverse pressure bending pressure threshold of the brush filament cluster of the toothbrush. In this way, this embodiment is conducive to improving the accuracy of the detection result by obtaining the average value of the reverse pressure bending pressure threshold as the final result.
[0188] In step 22, the filament stiffness of a single filament in a filament cluster of the toothbrush is obtained.
[0189] In this step, the processing device can obtain the filament stiffness of a single brush filament in the brush filament cluster. The filament stiffness (or rigidity) is usually expressed by the force or torque required for unit deformation, and the magnitude of the stiffness depends on the geometric shape and material type of the filament (i.e., the elastic modulus of the material). After the filaments of the toothbrush are placed in a filament stiffness detection device, the material stiffness of the filaments can be obtained. The material stiffness can be obtained by measuring the linear position and angular displacement of the filaments. For details, please refer to the relevant technology. The processing device communicates with the above-mentioned filament stiffness detection device to obtain the material stiffness of the filaments. In other words, the above-mentioned filament stiffness can be characterized by the elastic modulus, that is, the elastic modulus of a single brush filament is detected as the above-mentioned filament stiffness, and the scheme disclosed in the present invention can also be implemented.
[0190] In this step, the processing device may also obtain the brush wire stiffness of multiple brush wires, and then calculate the average value of the brush wire stiffness, and use the average value of the brush wire stiffness as the brush wire stiffness of a single brush wire, thereby improving the accuracy of the detection result.
[0191] In step 23, the degree of fit between the brush head of the toothbrush and the teeth is obtained; the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model.
[0192] In this step, the processing device can obtain the fit data of the toothbrush, wherein the fit data refers to the effective contact area between the toothbrush and the teeth in the dental model.
[0193] In this step, the processing device can obtain the fit data of the toothbrush, for example, the processing device can obtain the contact area between the toothbrush head and each tooth in the designated area of the dental model. It should be understood that the dental model in this embodiment can be the medical standard dental model for testing and analysis in the above-mentioned embodiment, and the structure is as follows: Figure 7 shown.
[0194] In this step, seven consecutive teeth are selected according to the principles of stomatology, see Figure 8 , including central incisors 81, lateral incisors 82, canines 83, first premolars 84, second premolars 85, first molars 86, and second molars 87. The area where the above seven teeth are located is the designated area.
[0195] In this step, when the toothbrush is placed within the above-mentioned designated area, the brush head surface is in contact with the tooth surface. In one example, the image acquisition device can be placed on one side of the toothbrush and the tooth model, so as to capture the image of Fig. 9 Image shown.
[0196] It is understandable that when the toothbrush is placed on each tooth, an image can be taken, and the brush head 91 is in contact with one of the teeth 92 in the dental mold, and the length of the contact area between the two is d. Then, the processing device can calculate the contact area between the tooth and the toothbrush based on the above image. For example, the processing device can calculate the length d of the contact area between the toothbrush and the tooth, such as by calculating the length of the contact area by calculating the number of pixels in the contact area. When the width of the toothbrush head is known, the product of the above length and width is the contact area. It is understandable that in the above process, it is assumed that the width of the toothbrush head is the same as that of the tooth, so the area of the contact area can be calculated after the length of the contact area is obtained.
[0197] In this step, the processing device can obtain the degree of fit of the toothbrush based on the contact area corresponding to each tooth and the area of the brush head. For example, the processing device can obtain the average area of the dental model based on the contact area corresponding to each tooth of the dental model. For example, the processing device can average the contact areas of the above 7 teeth to obtain the average area. Then, the processing device can obtain the ratio of the average area to the area of the brush head, and use the ratio as the degree of fit of the toothbrush.
[0198] In this step, by obtaining the fit of the toothbrush, it can be determined whether the brush head of the toothbrush is suitable for the actual usage scenario, which is helpful to assist in designing a brush head configuration suitable for the usage scenario.
[0199] It should be noted that steps 21, 22, and 23 may be executed as part of the steps, and the unexecuted steps may be executed in other schemes and the execution results may be directly obtained. For ease of understanding, the embodiments of the present disclosure are described by taking the scheme of executing steps 21, 22, and 23 as an example.
[0200] It should also be noted that steps 21 to 23 are performed in any order, such as the order of step 21, step 22 and step 23, or the order of step 21, step 23 and step 22, or the order of step 22, step 21 and step 23, or the order of step 22, step 23 and step 21, or the order of step 23, step 21 and step 22, or the order of step 23, step 22 and step 21. The order of steps can be selected according to the specific scenario. In one example, the order of step 21, step 22 and step 23 is followed. In step 24, the static load resistance index of the brush head of the toothbrush is determined according to the bending pressure threshold, the brush filament stiffness and the fit. The static load resistance index of the brush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied.
[0201] In this step, the processing device can determine the static load resistance index of the brush head of the toothbrush according to the bending pressure threshold, the brush filament stiffness and the fit, and the brush head static load resistance index is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied. For example, the processing device can obtain the weight values of the bending pressure threshold, the brush filament stiffness and the fit respectively. Then, the processing device can obtain the product of the bending pressure threshold and its weight value, obtain the product of the brush filament stiffness and its weight value, and obtain the product of the fit and its weight value, and obtain the pressure weighted data, stiffness weighted data and fit weighted data respectively. Finally, the processing device can obtain the sum of the pressure weighted data, the stiffness weighted data and the fit weighted value, and use the above sum as the static load resistance index of the brush head of the toothbrush. Among them, the static load resistance index of the brush head is shown in formula (1).
[0202] y(M)=a1*Z+b1*F+c1*H+d1*Y; (1)
[0203] In the formula, M represents the static load resistance index of the brush head, Z and F represent the bending pressure threshold under positive pressure and the bending pressure threshold under reverse pressure respectively, H represents the material stiffness of a single brush filament, Y represents the fit of the brush head, a1, b1, c1 and d1 represent the weight values of the bending pressure threshold under positive pressure, the bending pressure threshold under reverse pressure, the brush filament stiffness of a single brush filament and the fit respectively.
[0204] It should be noted that the above-mentioned static load index of the brush head includes the forward pressure bending pressure threshold and the reverse pressure bending pressure threshold, which can simulate the maximum pressure value and the minimum pressure value when the user is brushing his teeth; the above-mentioned static load index of the brush head includes the material stiffness of a single brush filament, which can simulate the influence of the brush filament of the toothbrush on the pressure; the above-mentioned static load index of the brush head includes the fit of the brush head, which can simulate the influence of the user's brushing posture on the brushing effect. In general, the static load resistance index of the brush head of this embodiment can represent the effect of cleaning teeth when the user applies the maximum pressure value and the minimum pressure value when the fit between the brush head and the teeth is known, so as to characterize the quality of the toothbrush.
[0205] At this point, the static load resistance index of the brush head of this embodiment can comprehensively and objectively evaluate the load resistance of the toothbrush head, thereby being able to evaluate important toothbrush overall performance such as tooth stain cleaning ability (requires stronger load resistance), dental plaque removal ability (requires moderate load resistance) and gum protection ability (requires weaker load resistance), and can assist in evaluating the cleaning effect of the toothbrush. A good cleaning effect can prevent users from the formation of caries caused by residual stains due to improper cleaning, and can also prevent stains from long-term deposition to form unsightly dental calculus, and can also avoid other oral symptoms such as bad breath and periodontal disease caused by bacterial residues.
[0206] Secondly, the testing method of this embodiment can replace the human efficacy test, thereby improving the testing efficiency, saving the testing cost, and expanding the application scope, thereby enhancing the practical application value of the testing process.
[0207] In addition, the testing method of this embodiment can put risks in advance, and objective testing indicators can guide product development from the pre-research stage, so that each product iteration can form an effective closed loop.
[0208] In another embodiment, the present disclosure also provides a testing method. Fig.10 is a flow chart of a testing method according to an exemplary embodiment. Fig.10 , a testing method, comprising steps 101 to 105.
[0209] In step 101, a bending pressure threshold of the filament cluster of the toothbrush is obtained, where the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or resumes its upright position.
[0210] The solution of step 101 is the same as that of step 21. Please refer to the content of step 21 for details, which will not be repeated here.
[0211] In step 102, the filament stiffness of a single filament in a filament cluster of the toothbrush is obtained.
[0212] The solution of step 102 is the same as that of step 22. Please refer to the content of step 22 for details, which will not be repeated here.
[0213] In step 103, the degree of fit between the toothbrush head and the teeth is obtained; the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model.
[0214] The solution of step 103 is the same as that of step 23. Please refer to the content of step 23 for details, which will not be repeated here.
[0215] In step 104, the filament hole area of the filament hole on the brush head of the toothbrush is obtained.
[0216] In this step, the bristles of the toothbrush can be removed, and the processing device can control the image acquisition device to obtain a brush head image containing the brush head in response to the bristles of the brush head being removed. Alternatively, a brush head of the same model as the above-mentioned brush head without bristles is selected, and the processing device controls the image acquisition device to obtain a brush head image containing the brush head. It should be noted that the above-mentioned brush head image contains multiple bristle holes. Technicians can choose a solution for processing the brush head filaments according to the specific scenario. When each bristle hole is revealed in the brush head image, the corresponding solution falls within the protection scope of the present disclosure.
[0217] In this step, the processing device can identify the brush holes in the brush head image and obtain the area of each brush hole. In one example, the processing device can store a recognition model for identifying brush holes, and the processing device can input the brush head image into the recognition model. The recognition model can identify each brush hole in the brush head image and calculate the area of each brush hole. Then, the processing device can calculate the sum of the areas of each brush hole to obtain the brush hole area of the brush hole.
[0218] In step 105, the static load resistance index of the toothbrush head is determined according to the filament hole area, the bending pressure threshold, the filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the filament cluster of the toothbrush to resist swing attenuation when a load is applied.
[0219] In this step, the processing device can obtain the ratio of the bending pressure threshold to the brush wire hole area to obtain the brush wire pressure. Then, the processing device can obtain the weight values of the brush wire pressure, brush wire stiffness and fit respectively; and obtain the product of the brush wire pressure and its weight value, the brush wire stiffness and its weight value, and the fit and its weight value respectively to obtain pressure weighted data, stiffness weighted data and fit weighted data; finally, the processing device can obtain the sum of the pressure weighted data, stiffness weighted data and fit weighted value, and use the above sum as the static load resistance index of the brush head of the toothbrush. Among them, the static load resistance index of the brush head is shown in formula (2).
[0220]
[0221] In the formula, M represents the static load resistance index of the brush head. They represent the forward brush wire pressure and the reverse brush wire pressure respectively, H represents the material stiffness of a single brush wire, Y represents the fit of the brush head, a2, b2, c2 and d2 represent the weight values of the forward brush wire pressure, the reverse brush wire pressure, the brush wire stiffness and the fit of a single brush wire respectively.
[0222] It should be noted that the above-mentioned static anti-load index of the brush head includes the forward brush wire pressure and the reverse brush wire pressure, which can simulate the maximum and minimum pressure of the teeth when the user is brushing; the above-mentioned static anti-load index of the brush head includes the material stiffness of a single brush wire, which can simulate the influence of the brush wire of the toothbrush on the pressure; the above-mentioned static anti-load index of the brush head includes the fit of the brush head, which can simulate the influence of the user's brushing posture on the brushing effect. In general, the static anti-load index of the brush head of this embodiment can represent the cleaning effect of the teeth under the maximum and minimum pressures when the brush wires are made of different material strengths and the fit between the brush head and the teeth is known, so as to characterize the quality of the toothbrush.
[0223] Thus, in this embodiment, the static load resistance index of the brush head is used to objectively represent the ability of the brush filament cluster to resist pendulum attenuation, thereby representing the ability of the toothbrush to clean teeth, and the test process can be standardized to achieve the effect of improving the test efficiency.
[0224] Based on a testing method provided in an embodiment of the present disclosure, an embodiment of the present disclosure further provides a testing device suitable for testing a toothbrush, wherein the toothbrush comprises a blade and a blade net, see Fig.11 , the device comprises:
[0225] A pressure threshold acquisition module 111 is used to acquire a bending pressure threshold of the filament cluster of the toothbrush, wherein the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends from an upright state or recovers from a bent state;
[0226] A brush filament stiffness acquisition module 112, used to acquire the brush filament stiffness of a single brush filament in a brush filament cluster of the toothbrush;
[0227] The fitting degree acquisition module 113 is used to obtain the fitting degree between the brush head of the toothbrush and the teeth; the fitting degree refers to the effective contact area between the toothbrush and the teeth in the dental model;
[0228] The load resistance index acquisition module 114 is used to determine the static load resistance index of the toothbrush head according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the toothbrush filament cluster to resist swing attenuation when a load is applied.
[0229] In one embodiment, the bending pressure threshold includes a positive pressure bending pressure threshold, and the pressure threshold acquisition module includes:
[0230] A first image acquisition submodule, configured to acquire a first state image of a bristle cluster of the toothbrush head when the toothbrush head is placed on a surface of a test platform and a load of a first preset weight is placed on the toothbrush head;
[0231] A second image acquisition submodule is used to sequentially increase the load according to a preset weight step length to acquire a second state image of the brush filament cluster of the brush head under the current load;
[0232] A shape acquisition submodule, used to respectively identify the shapes of the brush filament clusters in the first state image and the second state image to obtain a first shape and a second shape;
[0233] The positive threshold acquisition submodule is used to determine the pressure value corresponding to the current load as the positive pressure bending pressure threshold of the brush filament cluster when it is determined that the similarity between the first shape and the second shape is less than or equal to a first similarity threshold.
[0234] In one embodiment, the pressure threshold acquisition module further includes:
[0235] A bending pressure acquisition submodule, used to acquire multiple groups of positive pressure bending pressure thresholds of the brush filament cluster;
[0236] The forward threshold value acquisition submodule is further used to determine the average value of the multiple groups of forward pressure bending pressure thresholds, and use the average value as the final forward pressure bending pressure threshold of the bristle cluster of the toothbrush.
[0237] In one embodiment, the bending pressure threshold includes a reverse pressure bending pressure threshold, and the pressure threshold acquisition module includes:
[0238] A third image acquisition submodule, configured to acquire a third state image of the brush filament clusters of the toothbrush head when the toothbrush head is placed on the surface of the test platform and a load of a second preset weight is placed on the toothbrush head;
[0239] A fourth image acquisition submodule, used to sequentially reduce the load according to a preset weight step length, and acquire a fourth state image of the brush filament cluster of the brush head under the current load;
[0240] A shape acquisition submodule, used to respectively identify the shapes of the brush filament clusters in the third state image and the fourth state image to obtain a third shape and a fourth shape;
[0241] The reverse threshold acquisition submodule is used to determine the pressure value corresponding to the current load as the reverse pressure bending pressure threshold of the brush filament cluster when it is determined that the similarity between the third shape and the fourth shape is less than or equal to the second similarity threshold.
[0242] In one embodiment, the pressure threshold acquisition module further includes:
[0243] A bending pressure acquisition submodule, used to acquire multiple groups of reverse pressure bending pressure thresholds of the brush filament cluster;
[0244] The reverse threshold acquisition submodule is used to determine the average value of the multiple groups of reverse pressure bending pressure thresholds, and use the average value as the final reverse pressure bending pressure threshold of the bristle cluster of the toothbrush.
[0245] In one embodiment, the fit degree acquisition module includes:
[0246] A contact area acquisition submodule, used to acquire the contact area between the brush head of the toothbrush and each tooth in a specified area of the dental model;
[0247] The fit degree acquisition submodule is used to obtain the fit degree of the toothbrush according to the contact area corresponding to each tooth and the area of the brush head.
[0248] In one embodiment, the fit degree acquisition submodule includes:
[0249] An area average value obtaining unit, used for obtaining the area average value of the dental cast according to the contact areas corresponding to the teeth of the dental cast;
[0250] The fit degree acquisition unit is used to acquire the ratio of the average area value to the area of the brush head, and use the ratio as the fit degree of the toothbrush.
[0251] In one embodiment, the load resistance index acquisition module includes:
[0252] A weight value acquisition submodule, used to respectively acquire weight values of the bending pressure threshold, the brush filament stiffness and the fit degree;
[0253] A weighted data acquisition submodule, for respectively acquiring the product of the bending pressure threshold and its weight value, the brush filament stiffness and its weight value, and the fit degree and its weight value, to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data;
[0254] The anti-load index acquisition submodule is used to obtain the sum of the pressure weighted data, the stiffness weighted data and the fit weight value, and use the sum as the static anti-load index of the toothbrush head.
[0255] In one embodiment, the device further comprises:
[0256] A brush wire hole area acquisition module, used to acquire the brush wire hole area of the brush wire hole on the brush head of the toothbrush;
[0257] The load resistance index acquisition module is also used to determine the static load resistance index of the toothbrush head according to the brush wire hole area, the bending pressure threshold, the brush wire stiffness and the fit degree. The static load resistance index of the brush head is used to indicate the ability of the toothbrush brush wire cluster to resist swing attenuation when a load is applied.
[0258] In one embodiment, the brush hole area acquisition module includes:
[0259] A brush head image acquisition submodule, for acquiring a brush head image including the brush head in response to brush filaments of the brush head being removed;
[0260] A brush head image recognition submodule, used to identify the brush filament holes in the brush head image and obtain the area of each brush filament hole;
[0261] The brush hole area acquisition submodule is used to acquire the sum of the areas of the brush holes to obtain the brush hole area of the brush holes.
[0262] In one embodiment, the load resistance index acquisition module includes:
[0263] A brush wire pressure acquisition submodule, used to acquire the ratio of the bending pressure threshold to the brush wire hole area to obtain the brush wire pressure;
[0264] A weight value acquisition submodule, used to respectively acquire the weight values of the brush wire pressure, the brush wire stiffness and the fit;
[0265] A weighted data acquisition submodule, used to respectively acquire the product of the brush wire pressure and its weight value, the brush wire stiffness and its weight value, and the fit degree and its weight value, to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data;
[0266] The anti-load index acquisition submodule is used to obtain the sum of the pressure weighted data, the stiffness weighted data and the fit weight value, and use the sum as the static anti-load index of the toothbrush head.
[0267] In one embodiment, the static load resistance index of the brush head is expressed by the following formula:
[0268]
[0269] In the formula, M represents the static load resistance index of the brush head. They represent the forward brush wire pressure and the reverse brush wire pressure respectively, H represents the material stiffness of a single brush wire, Y represents the fit of the brush head, a2, b2, c2 and d2 represent the weight values of the forward brush wire pressure, the reverse brush wire pressure, the brush wire stiffness and the fit of a single brush wire respectively.
[0270] It should be noted that the device shown in this embodiment matches the contents of the method embodiment, and reference may be made to the contents of the above method embodiment, which will not be repeated here.
[0271] In an exemplary embodiment, the present disclosure also provides a non-transitory computer-readable storage medium, and when an executable computer program in the storage medium is executed by a processor, the above-mentioned method can be implemented.
[0272] In an exemplary embodiment, a chip is also provided, the chip including a processor and an interface for reading a computer program through the interface to implement the above method. The chip may be a conventional CPU (central processing unit) chip, a GPU (graphics processing unit) chip, etc., or an acceleration chip dedicated to artificial intelligence technology, such as an AI (Artificial Intelligence) accelerator, etc.
[0273] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the disclosure disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.
[0274] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims
1. A testing system for testing a toothbrush, characterized in that: The system comprises: a test platform, a load applying device, a fixing device, an image acquisition device and a processing device; wherein the test platform can contact with the toothbrush to be tested to simulate the scene of using the toothbrush; The load applying device is used to apply a load to the brush head of the toothbrush so that a force is formed at the contact position between the brush head of the toothbrush and the test platform; The fixing device is used to fix the toothbrush to be tested; The image acquisition device is used to acquire an image when the brush filaments of the brush head of the toothbrush are in contact with the test platform; The processing device is electrically connected to the load applying device and the image acquisition device, respectively, and the processing device is used to perform at least one of the following operations: determining a bending pressure threshold of the brush filament cluster according to the image when a load is applied to the brush head; Obtaining the filament stiffness of a single filament in a filament cluster of the toothbrush; Obtaining the degree of fit between the toothbrush head and the teeth, wherein the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model; The static load resistance index of the toothbrush head is determined according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied.
2. The test system according to claim 1, characterized in that: The fixing device includes a mechanical arm and a fixing platform, wherein the fixing platform is arranged on the mechanical arm and is used to fix the toothbrush inserted into the slot when it moves to a preset position; the mechanical arm is used to adjust the spatial position of the fixing platform so that the brush head of the toothbrush contacts the test platform.
3. The test system according to claim 1, characterized in that: The test platform comprises a transparent plate, a base and a slide rail, wherein one end of the slide rail is fixed to the base, and the other end of the slide rail is fixed to the transparent plate, and the slide rail is used to adjust the height of the transparent plate.
4. The test system according to claim 3, characterized in that: The load applying device comprises a first support wheel, a second support wheel, a load rope and a load plate, wherein one end of the load rope is fixed to the first support wheel, the other end of the load rope is fixed to the load plate, and a portion of the load rope located between the first support wheel and the second support wheel passes through a preset hole of the slide rail; The load rope is used to apply a load to the slide rail when a load is placed in the load plate, so that the transparent plate applies a load to the bristles of the brush head.
5. The test system according to claim 1, characterized in that: The image acquisition device includes a first camera and a second camera, and the first camera and the second camera are electrically connected to the processing device respectively; The first camera is arranged on a side of the test platform away from the brush head, and is used to capture an image of the brush filaments of the brush head from the front; The second camera is arranged on a side of the test platform where the brush head is arranged, and is used to capture an image of the bristles of the brush head from the side of the toothbrush.
6. The test system according to claim 1, characterized in that: The testing system also includes a brush filament stiffness detection device, which is electrically connected to the processing device and is used to obtain the brush filament stiffness of the toothbrush and send the obtained brush filament stiffness to the processing device.
7. A testing method, characterized in that: Applicable to the test system according to any one of claims 1 to 6, the method comprising: Acquire a bending pressure threshold of the filament cluster of the toothbrush, wherein the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or recovers to an upright position; Obtaining the filament stiffness of a single filament in a filament cluster of the toothbrush; Obtaining the degree of fit between the toothbrush head and the teeth; the degree of fit refers to the effective contact area between the toothbrush and the teeth in the dental model; The static load resistance index of the toothbrush head is determined according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied.
8. The method according to claim 7, characterized in that The bending pressure threshold includes a positive pressure bending pressure threshold, and obtaining the bending pressure threshold of the bristle cluster of the toothbrush includes: When the brush head of the toothbrush is placed on the surface of the test platform and a load of a first preset weight is placed on the brush head, a first state image of the brush filament cluster of the brush head is acquired; Increasing the load in sequence according to a preset weight step length, and obtaining a second state image of the brush filament cluster of the brush head under the current load; Respectively identifying the shapes of the brush filament clusters in the first state image and the second state image to obtain a first shape and a second shape; When it is determined that the similarity between the first shape and the second shape is less than or equal to a first similarity threshold, the pressure value corresponding to the current load is determined to be a positive pressure bending pressure threshold of the brush filament cluster.
9. The method according to claim 8, characterized in that The method further comprises: Obtaining multiple groups of positive pressure bending pressure thresholds of the brush filament cluster; An average value of the plurality of groups of positive pressure bending pressure thresholds is determined, and the average value is used as a final positive pressure bending pressure threshold of the filament cluster of the toothbrush.
10. The method according to claim 7, characterized in that The bending pressure threshold includes a reverse pressure bending pressure threshold, and obtaining the bending pressure threshold of the bristle cluster of the toothbrush includes: When the brush head of the toothbrush is placed on the surface of the test platform and a load of a second preset weight is placed on the brush head, a third state image of the brush filament cluster of the brush head is obtained; The load is reduced in sequence according to a preset weight step length, and a fourth state image of the brush filament cluster of the brush head under the current load is obtained; Respectively identifying the shapes of the brush filament clusters in the third state image and the fourth state image to obtain a third shape and a fourth shape; When it is determined that the similarity between the third shape and the fourth shape is less than or equal to the second similarity threshold, the pressure value corresponding to the current load is determined to be the reverse pressure bending pressure threshold of the brush filament cluster.
11. The method according to claim 10, characterized in that The method further comprises: Obtaining multiple groups of reverse pressure bending pressure thresholds of the brush filament cluster; An average value of the multiple groups of reverse pressure bending pressure thresholds is determined, and the average value is used as the final reverse pressure bending pressure threshold of the filament cluster of the toothbrush.
12. The method according to claim 7, characterized in that Obtaining the degree of fit between the brush head of the toothbrush and the teeth, including: Obtaining the contact area between the brush head of the toothbrush and each tooth in a specified area of the dental model; The fit of the toothbrush is obtained according to the contact area corresponding to each tooth and the area of the brush head.
13. The method according to claim 12, characterized in that Obtaining the degree of fit of the toothbrush according to the contact area corresponding to each tooth and the area of the brush head, including: Obtaining an average area value of the dental model according to the contact areas corresponding to the teeth of the dental model; The ratio of the average area to the area of the brush head is obtained, and the ratio is used as the fit of the toothbrush.
14. The method according to claim 7, characterized in that Determining the static load resistance index of the brush head of the toothbrush according to the bending pressure threshold, the brush filament stiffness and the fit degree includes: Respectively obtaining weight values of the bending pressure threshold, the brush filament stiffness and the fit degree; Respectively obtain the product of the bending pressure threshold and its weight value, the brush filament stiffness and its weight value, and the fit degree and its weight value to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data; The sum of the pressure weighted data, the stiffness weighted data and the fit weighted value is obtained, and the sum is used as the static load resistance index of the toothbrush head.
15. The method according to claim 7, characterized in that The method further comprises: Obtaining the brush wire hole area of the brush wire hole on the brush head of the toothbrush; The static load resistance index of the toothbrush head is determined according to the filament hole area, the bending pressure threshold, the filament stiffness and the fit degree. The static load resistance index of the toothbrush head is used to indicate the ability of the filament cluster of the toothbrush to resist swing attenuation when a load is applied.
16. The method according to claim 15, characterized in that Obtaining the brush wire hole area of the brush wire hole on the brush head of the toothbrush comprises: In response to brush filaments of the brush head being removed, acquiring a brush head image including the brush head; Identify brush holes in the brush head image to obtain the area of each brush hole; The sum of the areas of the brush holes is obtained to obtain the brush hole area of the brush holes.
17. The method according to claim 15, characterized in that The static load resistance index of the brush head of the toothbrush is determined according to the brush filament hole area, the bending pressure threshold, the brush filament stiffness and the fit degree. The static load resistance index of the brush head is used to indicate the ability of the brush filament cluster of the toothbrush to resist swing attenuation when a load is applied, including: Obtaining the ratio of the bending pressure threshold to the brush wire hole area to obtain the brush wire pressure; Obtaining weight values of the brush wire pressure, the brush wire stiffness and the degree of fit respectively; Respectively obtain the product of the brush wire pressure and its weight value, the brush wire stiffness and its weight value, and the fit degree and its weight value to obtain pressure weighted data, stiffness weighted data, and fit degree weighted data; The sum of the pressure weighted data, the stiffness weighted data and the fit weighted value is obtained, and the sum is used as the static load resistance index of the toothbrush head.
18. The method according to claim 17, characterized in that The static anti-load index of the brush head is expressed by the following formula: In the formula, M represents the static load resistance index of the brush head. They represent the forward brush wire pressure and the reverse brush wire pressure respectively, H represents the material stiffness of a single brush wire, Y represents the fit of the brush head, a2, b2, c2 and d2 represent the weight values of the forward brush wire pressure, the reverse brush wire pressure, the brush wire stiffness and the fit of a single brush wire respectively.
19. A testing device, characterized in that: The test system according to any one of claims 1 to 6, wherein the device comprises: A pressure threshold acquisition module, used to acquire a bending pressure threshold of the filament cluster of the toothbrush, wherein the bending pressure threshold is used to represent the pressure value applied to the toothbrush when the filament cluster of the toothbrush bends or resumes uprightness; A brush wire stiffness acquisition module, used to acquire the brush wire stiffness of a single brush wire in a brush wire cluster of the toothbrush; A fitting degree acquisition module, used to obtain the fitting degree between the brush head of the toothbrush and the teeth; the fitting degree refers to the effective contact area between the toothbrush and the teeth in the dental model; The anti-load index acquisition module is used to determine the static anti-load index of the toothbrush head according to the bending pressure threshold, the brush filament stiffness and the fit degree. The static anti-load index of the brush head is used to indicate the ability of the toothbrush filament cluster to resist swing attenuation when a load is applied.
20. A non-transitory computer-readable storage medium, characterized in that: When the executable computer program in the storage medium is executed by a processor, the method according to any one of claims 7 to 18 can be implemented.
