Test method, device and system

Abstract

The embodiment of the invention relates to a test method, device and system. The method comprises the following steps: controlling a brush head of a measured toothbrush to clean lip and buccal surfaces of teeth in at least one dental cast for a preset time length, wherein the lip and buccal surfaces of the teeth are coated with attachments; the lip-buccal surface is a tooth surface close to the lip and the cheek after the teeth are closed; acquiring test data of the dental cast; and determining a lip-buccal surface cleaning index of the tested toothbrush according to the test data, wherein the lip-buccal surface cleaning index is used for representing the cleaning degree of the tested toothbrush for cleaning the lip-buccal surface. According to the embodiment, the cleaning degree of the lip and buccal surfaces of the teeth cleaned by the measured toothbrush is objectively described through the lip and buccal surface cleaning index of the measured toothbrush, the brush head of the measured toothbrush and the cleaning ability evaluation of different measured toothbrushes in the market can be improved in an auxiliary manner in the design process, and the use experience is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of testing technologies, and in particular, to a testing method, apparatus, and system. Background Art

[0002] With the gradual enhancement of the public's awareness of oral care and the wave of consumption upgrading, electric toothbrushes have become household appliances with relatively rapid sales growth. Compared with ordinary toothbrushes, electric toothbrushes can clean teeth more effectively; for example, removing dental plaque, cleaning tooth gaps, enabling the user's teeth to be better cleaned, thereby reducing the risk of oral diseases such as gingivitis, periodontal disease, and gingival bleeding caused by unclean tooth cleaning.

[0003] Existing electric toothbrushes include some functional gears, such as a dental plaque removal gear, a cleaning gear, or a whitening gear; or include some functional brush heads, such as a dental plaque removal brush head, a cleaning brush head, or a whitening brush head. However, the efficacy of these functional gears or brush heads usually cannot be evaluated, or subjective testing is carried out manually, resulting in non-objective test results, problems such as large environmental influence and high testing costs. Summary of the Invention

[0004] The present disclosure provides a testing method, apparatus, and system to solve the deficiencies of the related art.

[0005] According to a first aspect of an embodiment of the present disclosure, a testing method is provided, and the method includes:

[0006] Controlling the brush head of the toothbrush under test to clean the labial and buccal surfaces of the teeth in at least one dental model for a preset duration, where the labial and buccal surfaces of the teeth are coated with attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed;

[0007] Obtaining test data of the dental model;

[0008] Determining a labial and buccal surface cleaning index of the toothbrush under test according to the test data, where the labial and buccal surface cleaning index is used to represent the cleaning degree of the toothbrush under test for cleaning the labial and buccal surfaces.

[0009] Optionally, the test data of the dental model includes at least one of the following:

[0010] Attachment ratio data of the dental model, where the attachment ratio data refers to the change in attachments in the images of the dental model before and after cleaning;

[0011] Evaluation data of the dental model, where the evaluation data refers to the evaluation score given by a tester to the attachments on the labial and buccal surfaces of the teeth of the dental model;

[0012] The fitting degree data of the toothbrush to be measured, where the fitting degree data refers to the effective contact area between the toothbrush to be measured and the labial and buccal surfaces of the teeth in the dental model;

[0013] The cleaning time data of each tooth in the dental model, where the cleaning time data refers to the contact time between the bristles of the toothbrush to be measured and the labial and buccal surfaces of the teeth.

[0014] Optionally, the attachment proportion data of the dental model is obtained by the following method:

[0015] When the pressure between the toothbrush to be measured and the labial and buccal surfaces of the teeth is the first set pressure, obtain the first proportion data of the attachments on the dental model before and after cleaning;

[0016] When the pressure between the toothbrush to be measured and the labial and buccal surfaces of the teeth is the second set pressure, obtain the second proportion data of the attachments on the dental model before and after cleaning;

[0017] Obtain the weighted cumulative value of the first proportion data and the second proportion data to obtain the attachment proportion data.

[0018] Optionally, the first proportion data of the first attachment on the dental model before and after cleaning is obtained by the following method:

[0019] Obtain the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental model before cleaning; the attachments are the first attachments;

[0020] Obtain the remaining area of the attachments on the labial and buccal surfaces of the teeth of the dental model after cleaning;

[0021] Obtain the ratio of the remaining area to the initial area as the first proportion data of the dental model.

[0022] Optionally, the second proportion data of the attachments on the dental model before and after cleaning is obtained by the following method:

[0023] Obtain the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental model before cleaning; the attachments are the second attachments;

[0024] Obtain the remaining area of the attachments on the labial and buccal surfaces of the teeth of the dental model after cleaning;

[0025] Obtain the difference between the initial area and the remaining area to obtain the area change amount;

[0026] Obtain the ratio of the area change amount to the initial area as the second proportion data of the dental model.

[0027] Optionally, the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental model before cleaning is obtained by the following method:

[0028] Apply the attachment evenly on at least one tooth of the dental mold and dry it for a second preset duration at a preset temperature; the attachment is the first attachment and / or the second attachment, and the adhesion of the first attachment to the tooth is less than the adhesion of the second attachment to the tooth;

[0029] Obtain an image of the dental mold after cleaning to get an initial image;

[0030] Obtain a first area of the attachment on the labial and buccal surfaces of each tooth in the at least one tooth;

[0031] Obtain the average value or cumulative value of the first areas of the at least one tooth as the initial area.

[0032] Optionally, obtaining the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental mold includes:

[0033] Obtain an image of the dental mold after cleaning to get a test image;

[0034] Obtain a second area of the attachment on the labial and buccal surfaces of at least one tooth in the test image; the attachment is the first attachment and / or the second attachment, and the adhesion of the first attachment to the tooth is less than the adhesion of the second attachment to the tooth;

[0035] Obtain the average value or cumulative value of the second areas of the at least one tooth as the remaining area.

[0036] Optionally, obtaining the evaluation data of the dental mold includes:

[0037] Obtain the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental mold;

[0038] Determine the evaluation score of each tooth according to the remaining area and a preset area threshold;

[0039] Determine the evaluation data of the dental mold according to the evaluation scores of each tooth.

[0040] Optionally, determining the evaluation data of the dental mold according to the evaluation scores of each tooth includes:

[0041] Obtain the average value of the evaluation scores of each tooth in the dental mold to get a first average value;

[0042] Obtain the average value of the first average values corresponding to at least three dental molds to get a second average value, and use the second average value as the evaluation data of the dental mold.

[0043] Optionally, obtaining the fitting degree data of the toothbrush to be measured includes:

[0044] Obtain the contact area between the brush head of the to-be-tested toothbrush and the labial and buccal surfaces of each tooth in the dental mold;

[0045] Obtain the fitting degree data of the to-be-tested toothbrush according to the contact area corresponding to each tooth and the area of the brush head.

[0046] Optionally, obtaining the fitting degree data of the to-be-tested toothbrush according to the contact area corresponding to each tooth and the area of the brush head includes:

[0047] Obtain the average area value of the dental mold according to the contact area corresponding to each tooth of the dental mold;

[0048] Obtain the ratio of the average area value to the area of the brush head, and use the ratio as the fitting degree data of the to-be-tested toothbrush.

[0049] Optionally, obtaining the cleaning time data of each tooth in the dental mold includes:

[0050] Obtain the total duration for the to-be-tested toothbrush to clean the dental mold;

[0051] Obtain the number of tooth surfaces cleaned for the dental mold, as the first quantity;

[0052] Obtain the number of tooth surfaces simultaneously covered by the bristles of the to-be-tested toothbrush, as the second quantity;

[0053] Determine the time for cleaning the labial and buccal surfaces of each tooth in the dental mold according to the total duration, the first quantity, and the second quantity, as the cleaning time data.

[0054] Optionally, determining the labial and buccal surface cleaning index of the to-be-tested toothbrush according to the test data includes:

[0055] Obtain the initial labial and buccal surface cleaning index of the to-be-tested toothbrush according to the test data corresponding to each dental mold;

[0056] Obtain the average value of the labial and buccal surface cleaning indexes corresponding to the at least one dental mold to obtain the labial and buccal surface cleaning index of the to-be-tested toothbrush.

[0057] Optionally, obtaining the initial labial and buccal surface cleaning index of the to-be-tested toothbrush according to the test data corresponding to each dental mold includes:

[0058] Obtain the weight values corresponding to each item of data in the test data; each item of data includes attachment ratio data, evaluation data, cleaning time data, and fitting degree data;

[0059] Respectively obtain the product of each item of data and its corresponding weight value to obtain weighted data;

[0060] The accumulated value of the weighted data corresponding to each of the data is obtained, and the accumulated value is used as the initial lip and cheek cleaning index corresponding to the dental model.

[0061] According to a second aspect of an embodiment of the present disclosure, a testing device is provided, the device comprising:

[0062] A cleaning control module, used to control the brush head of the tested toothbrush to clean the labial and buccal surfaces of at least one tooth in the dental mold for a preset time, wherein the labial and buccal surfaces of the tooth are coated with attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed;

[0063] A data acquisition module, used for acquiring the test data of the dental model;

[0064] The designated determination module is used to determine the lip and cheek cleaning index of the tested toothbrush according to the test data, and the lip and cheek cleaning index is used to indicate the degree of cleaning of the lip and cheek by the tested toothbrush.

[0065] According to a third aspect of an embodiment of the present disclosure, a test system is provided, including:

[0066] Processor and memory;

[0067] The memory is used to store a computer program executable by the processor;

[0068] The processor is used to execute the computer program in the memory to implement the method as described in any one of the first aspects.

[0069] Optionally, it also includes: a robotic arm, which is electrically connected to the processor; the robotic arm is also used to control the robotic arm to clamp the toothbrush under test and drive the toothbrush under test to perform a cleaning action after receiving a control signal from the processor.

[0070] Optionally, the robotic arm has learning and memory functions.

[0071] Optionally, it also includes: an image acquisition device; the image acquisition device is electrically connected to the processor; the image acquisition device is also used to use the image of the dental model and send it to the processor when receiving a control signal from the processor.

[0072] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0073] The test method provided by the embodiments of the present disclosure may first control the brush head of the toothbrush under test to clean the labial and buccal surfaces of the teeth in at least one dental mold for a preset duration, wherein the labial and buccal surfaces of the teeth are coated with attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; then, obtain the test data of the dental mold; and then, determine the labial and buccal surface cleaning index of the toothbrush under test according to the test data, and the labial and buccal surface cleaning index is used to represent the cleaning degree of the toothbrush under test for cleaning the labial and buccal surfaces. In this way, the cleaning degree of the labial and buccal surfaces of the teeth cleaned by the toothbrush under test is objectively described through the labial and buccal surface cleaning index of the toothbrush under test, which is beneficial to assisting in improving the brush head of the toothbrush under test and evaluating the cleaning ability of different toothbrushes under test in the market during the design process, and improving the user experience.

[0074] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] The accompanying drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0076] Figure 1 is a schematic diagram of a human oral structure shown according to an exemplary embodiment.

[0077] Figure 2 is a schematic diagram of a standard dental mold shown according to an exemplary embodiment.

[0078] Figure 3 is a block diagram of a test system shown according to an exemplary embodiment.

[0079] Figure 4 is a schematic diagram of a dental mold structure shown according to an exemplary embodiment.

[0080] Figure 5 is a flowchart of a test method shown according to an exemplary embodiment.

[0081] Figure 6 is a flowchart of obtaining attachment ratio data shown according to an exemplary embodiment.

[0082] Figure 7 is a schematic diagram of an image processing visual change shown according to an exemplary embodiment.

[0083] Figure 8 is a flowchart of obtaining an evaluation score shown according to an exemplary embodiment.

[0084] Figure 9 is a flowchart of obtaining fitting degree data shown according to an exemplary embodiment.

[0085] Figure 10 It is a schematic diagram of the contact surface between a brush head and teeth shown according to an exemplary embodiment.

[0086] Figure 11 It is a flowchart of obtaining cleaning time data shown according to an exemplary embodiment.

[0087] Figure 12 It is a flowchart of testing the labial and buccal surface cleaning index shown according to an exemplary embodiment.

[0088] Figure 13 It is a block diagram of a testing device shown according to an exemplary embodiment. Detailed implementation manners

[0089] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The exemplary embodiments described below do not represent all embodiments consistent with the present disclosure. On the contrary, they are only examples of devices consistent with some aspects of the present disclosure as detailed in the appended claims.

[0090] To solve the above technical problems, the embodiments of the present disclosure provide a testing method, which can be used for a testing system to test tooth cleaning devices such as electric toothbrushes and toothbrushes. In subsequent embodiments, the tested toothbrush will be an electric toothbrush. However, it should be understood that the tested toothbrush can also be an ordinary toothbrush. In short, by objectively quantifying the ability of the tested toothbrush used for testing to clean the labial and buccal surfaces of teeth, the cleaning effect on the labial and buccal surfaces of real human teeth is simulated, so as to reflect the ability of the toothbrush to prevent dental caries and / or periodontal diseases, and provide a complete set of detection standards for the cleaning ability of the toothbrush, thereby objectively and efficiently detecting the cleaning power of the toothbrush.

[0091] To facilitate the understanding of the embodiments of the present disclosure, the following combines Figure 1 and Figure 2 to briefly explain some terms defined for the human oral cavity.

[0092] Refer to Figure 1 , the human oral cavity is divided into the upper jaw and the lower jaw, and the tooth distribution of the lower jaw and the lower jaw is the same.

[0093] Refer to Figure 2, taking the lower teeth as an example, for molars or premolars, the side close to the human cheek (or lip) is the labio-buccal surface M1 (or rather, the labio-buccal surface refers to the tooth surface close to the lips and cheeks after the teeth are closed), the side close to the human tongue (or palate) is the lingual (palatal) surface M2, and the surface in contact with the upper teeth during occlusion is the occlusal surface M3, on which there are grooves M4. If the cleaning ability of the toothbrush for the labio-buccal surface M1 is insufficient, it is very easy to cause food or bacteria to remain on the periodontium or teeth, leading to periodontitis or dental caries.

[0094] It should be noted that, in combination with Figure 1 and Figure 2 it can be known that each tooth has a labio-buccal surface, while the first premolar, the second premolar, the first molar, the second molar and the third molar have occlusal surfaces, that is, the central incisor, the lateral incisor and the canine have labio-buccal surfaces but no occlusal surfaces.

[0095] In the embodiments of the present disclosure, the cleaning ability of the toothbrush for the labio-buccal surface M1 of the teeth can be objectively and efficiently detected and evaluated, so as to reflect the cleaning effect of the toothbrush on the user's teeth, and can reflect the ability of the toothbrush to remove dental plaque and dental stains on the labio-buccal surface and the ability to remove dental plaque in the gingival sulcus (periodontal pocket) and provide care. This evaluation standard can be used as a general industry standard, providing intuitive and efficient guidance for users to select toothbrush products on the one hand, and also providing objective guidance for manufacturers in the R & D stage on the other hand, effectively bringing risks forward and forming an effective closed loop for product iteration.

[0096] Figure 3 shows the architecture diagram of the detection system in some embodiments of the present disclosure. Refer to Figure 3 , the detection system includes: the toothbrush to be tested 100, the dental model 200, the robotic arm 300, the image acquisition device 400 and the controller 500.

[0097] The toothbrush to be tested 100 refers to the toothbrush whose cleaning effect needs to be detected and evaluated. The toothbrush to be tested 100 can be an ordinary toothbrush or an electric toothbrush, and the present disclosure does not limit this. In the embodiments of the present disclosure, the detection target for the toothbrush to be tested 100 is: to quantify the cleaning ability of the toothbrush for the labio-buccal surface of the teeth, that is, to detect and quantify the effect of the toothbrush in preventing or alleviating periodontitis and / or dental caries.

[0098] The dental model 200 refers to a standard tooth model that imitates the human oral cavity and is made of polymer materials, which includes a tooth part and a gingival part. Refer to Figure 4 , in the embodiments of the present disclosure, the dental model 200 adopts a standard dental model. The gingiva 1 can be made of polymer materials, and the tooth 2 can be made of materials such as zirconia, composite metal, etc. The gingiva 1 has a wrapping configuration around the tooth 2, completely imitating the real human oral cavity structure.

[0099] It should be noted that in the toothbrush detection process in the related art, a tooth model plate is mostly used to simulate the human teeth. For example, by forming a plurality of small protrusions on a plate made of stainless steel or other metal materials to simulate the tooth structure, and using the cleaning effect of the toothbrush on the small protrusions to represent the cleaning effect of the toothbrush. However, this method cannot fully conform to the real human oral structure, and it is impossible to truly represent the periodontal and labio-buccal surface structures of the teeth, resulting in the final detection result being unable to reflect the real cleaning effect on the human teeth. Therefore, in the embodiments of the present disclosure, a dental mold 200 that fully simulates the real human oral cavity is adopted, which can reflect the cleaning effect on the real human teeth and improve the detection accuracy.

[0100] The robotic arm 300 is used to clamp the toothbrush 100 to be measured, and the robotic arm 300 can be driven by the controller 500, so that the robotic arm 300 clamps the toothbrush 100 to be measured to clean the dental mold 200.

[0101] In some embodiments of the present disclosure, the robotic arm 300 can be a robotic arm with a memory function. For example, the user can drive the robotic arm 300 to execute a brushing route in advance, so that the robotic arm 300 can automatically record the moving distance and automatically repeat the brushing route to complete the automatic brushing process. In this way, the task programming difficulty of the robotic arm 300 can be reduced, and the detection cycle can be greatly shortened. For the specific structure and control principle of the robotic arm 300, those skilled in the art can undoubtedly understand and fully implement it with reference to the related art, and the present disclosure will not elaborate on this.

[0102] In some embodiments of the present disclosure, the controller 500 can at least control the robotic arm 300 to clamp the toothbrush 100 to be measured to complete the "Bass method" process on the dental mold 200, which will be described below in the present disclosure.

[0103] The image acquisition device 400 is used to acquire the frame images or video streams of the cleaning process of the toothbrush 100 to be measured on the dental mold 200. The image acquisition device 400 can include one or more industrial cameras, ToF (Time of flight) sensors, depth cameras, infrared cameras, lidars, etc., so as to acquire the planar or three-dimensional image information of the dental mold 200 in all directions during the cleaning process.

[0104] In the embodiments of the present disclosure, the image acquisition device 400 needs to acquire at least the dental mold images before and after the cleaning of the dental mold 200, so that the controller 500 can perform corresponding image processing and analysis based on the dental mold images before and after the cleaning, which will be described below in the present disclosure.

[0105] The controller 500 refers to the processing core of the toothbrush detection system, which can include a processor and a memory.

[0106] The processor can be of any type and has one or more processing cores. It can perform single-threaded or multi-threaded operations to parse instructions for operations such as obtaining data, performing logical operation functions, and issuing operation processing results.

[0107] The memory may include a non-volatile computer-readable storage medium, such as at least one disk storage device, a flash memory device, a distributed storage device remotely set relative to the processor, or other non-volatile solid-state storage devices. The memory can have a program storage area for storing non-volatile software programs, non-volatile computer-executable programs, and modules for the processor to call so that the processor can execute one or more of the following method steps. The memory can also include a volatile random storage medium, or a storage part such as a hard disk, as a data storage area for storing the operation processing results and data output by the processor.

[0108] In this embodiment, on the one hand, the memory stores computer-readable instructions that can be executed by the processor. When the computer-readable instructions are executed, the processor can execute the toothbrush detection method in the following embodiments. On the other hand, the memory can also store the image data collected by the image acquisition device 400.

[0109] Based on the above test system, the embodiments of the present disclosure also provide a test method. Figure 5 It is a flowchart of a test method shown according to an exemplary embodiment. See Figure 5 A test method includes steps 51 to 53.

[0110] In step 51, control the brush head of the toothbrush under test to clean the labial and buccal surfaces of the teeth in at least one dental mold for a preset duration, and the labial and buccal surfaces of the teeth are coated with attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed.

[0111] In this step, it is necessary to use the toothbrush 100 under test to clean the dental mold 200, so as to reflect the cleaning ability of the toothbrush 100 under test by comparing the effects before and after cleaning.

[0112] In some embodiments, image detection technology can be used to determine the effect difference before and after cleaning by using the images before and after cleaning. In other embodiments, the dental mold before and after cleaning can be weighed, and the effect difference can be determined by the weight change of the dental mold before and after cleaning.

[0113] For clearer image comparison, before cleaning the dental mold 200, a certain amount of attachment can be applied to the dental mold 200 to simulate the uncleaned dirt or residue on the teeth. For example, a certain amount of attachment can be applied to the dental mold 200 to simulate the scenario where dental plaque adheres to human teeth. When applying the attachment to several or all of the teeth to be tested on the dental mold 200, each surface of the teeth can be evenly coated, or only the labial and buccal surfaces can be evenly coated. In one example, the above-mentioned attachment can include a first attachment and a second attachment, where the adhesion of the first attachment to the teeth is less than that of the second attachment to the teeth. In this way, the first attachment can simulate dental plaque, etc., and the second attachment can simulate dental stains, etc. In some possible examples, the first attachment can be realized by ink, etc., and the second attachment can be realized by gypsum powder with glue added, etc., which can be set according to the specific scenario. That is, the embodiments of the present disclosure distinguish the attachments remaining on the teeth. Some attachments have strong adhesion, and some attachments have weak adhesion. By refining the attachments on the teeth, the real situation can be more accurately reflected, and thus more accurate test data can be obtained.

[0114] It should be understood that after arranging the attachment, the dental mold can also be left standing for a preset time to make the coating adhere better to the teeth. Or, operations such as drying the attachment at a preset temperature for a second preset duration can be performed to enhance the adhesion, such as drying at a constant temperature of 45 degrees Celsius for 5 minutes, so as to more effectively simulate the attachments remaining in the human oral cavity, especially in positions such as the periodontium.

[0115] Then, after applying the attachment (such as a staining pigment) to the dental mold to simulate dental plaque, first, one or more initial images of the dental mold 200 can be collected by the image acquisition device 400. The initial image is the image before the dental mold is cleaned.

[0116] In one example, after applying the attachment to the dental mold, it can be fixed to the pressure sensor plane; the toothbrush to be tested is fixed to the friction tester on the robotic arm to adjust the angle of the toothbrush so that the bristles form an angle of 45° ± 5° with the labial and buccal surfaces of the teeth, and the center position of the toothbrush is aligned above the gingival line. The pressure of the brush head on the center point of the dental mold is adjusted to 500 - 300 g (or 0.5 - 3 N) through the pressure sensing device. When applying the first attachment to the dental mold, the pressure of the brush head on the center point of the dental mold is 50 - 150 g (or 0.5 - 1.5 N), and when applying the second attachment to the dental mold, the pressure of the brush head on the center point of the dental mold is 150 - 300 g (or 1.5 - 3 N).

[0117] It should be noted that in this example, different pressures are applied through the toothbrush head to simulate the influence of users brushing their teeth with different intensities. For example, for user groups with tooth stains formed by smoking or tooth stains formed by drinking coffee, a second attachment can be coated, and a pressure of 150 - 300 g (or 1.5 - 3 N) can be applied to simulate the scenario of removing tooth stains; another example is that for user groups with dental plaque, a first attachment can be coated, and a pressure of 50 - 150 g (or 0.5 - 1.5 N) can be applied to simulate the scenario of removing dental plaque.

[0118] After the initial image is acquired, the controller 500 can control the robotic arm 300 to clamp the toothbrush under test 100 and perform a cleaning operation on the dental mold 200 for a preset duration, which can be adjusted according to the specific scenario, such as 1 - 5 minutes. It can be understood that before cleaning the teeth, 0.45 - 0.55 g of water can flow into the toothbrush head of the toothbrush under test, which can simulate the effect of having saliva on the teeth in the actual toothbrush head scenario and improve the test accuracy.

[0119] In one example, the Bass brushing method can be used to perform a cleaning operation on the dental mold 200 with the toothbrush under test 100. The Bass brushing method is an internationally recognized brushing method. When cleaning the labial and buccal surfaces, the toothbrush needs to be tilted at 45° to contact the teeth, and there are detailed regulations regarding the brushing direction and sequence. Those skilled in the art can undoubtedly understand with reference to related technologies and will not be elaborated here.

[0120] To enable the toothbrush under test 100 to implement the Bass brushing method, the robotic arm 300 can be programmed in advance based on the action behavior of the Bass brushing method, so that the controller 500 can control the robotic arm 300 to clamp the toothbrush under test 100 and perform a cleaning operation on the dental mold 200 in accordance with the preset action method specified by the Bass brushing method. In one example, the robotic arm 300 has a learning and memory function. The tester can drive the robotic arm to execute a brushing route once in advance, and the robotic arm 300 can automatically record the moving distance and automatically repeat the brushing route to complete the process of automatic brushing, which can reduce the task programming difficulty of the robotic arm and greatly shorten the detection cycle.

[0121] In the implementation manner of the present disclosure, after controlling the robotic arm 300 to clamp the toothbrush under test 100 to complete the cleaning operation on the dental mold 200, the dental mold 200 can be rinsed with water to wash away the dental plaque adsorbed on the teeth, and then dried for 1 min - 5 min.

[0122] It should be noted that the above content exemplarily describes the process of the robotic arm 300 cleaning the dental mold 200. In some examples, some tooth regions of the dental mold 200 can be cleaned, and then the next tooth region can be moved until the dental mold 200 is completely cleaned. In some examples, the tooth regions of one dental mold 200 can be cleaned, and after the cleaning is completed, the next dental mold can be cleaned until multiple dental molds are completely cleaned.

[0123] After the above cleaning operation is completed, the image acquisition device 400 can collect the dental mold image of the dental mold 200 again, that is, the test image. It can be understood that the initial image refers to the image before the dental mold 200 is cleaned, and the test image refers to the image after the dental mold 200 is cleaned. The difference between the initial image and the test image can reflect the cleaning effect.

[0124] In step 52, the test data of the dental mold is obtained.

[0125] In this step, after the cleaning is completed, the test data of the dental mold can be obtained. In some examples, the test data of the dental mold can include at least one of the following: the attachment ratio data of the dental mold, the evaluation data of the dental mold, the fitting degree data of the toothbrush to be tested, and the cleaning time data of each tooth in the dental mold.

[0126] In one example, taking the test data including the attachment ratio data of the dental mold as an example, it can include: when the pressure of the toothbrush to be tested on the labial and buccal surfaces of the teeth is the first set pressure, obtaining the first ratio data of the attachments on the dental mold before and after cleaning; when the pressure of the toothbrush to be tested on the labial and buccal surfaces of the teeth is the second set pressure, obtaining the second ratio data of the attachments on the dental mold before and after cleaning; then, obtaining the weighted cumulative value of the first ratio data and the second ratio data to obtain the attachment ratio data. In this way, in this example, the scenarios of removing dental stains and dental plaque are simulated under two different set pressures to achieve the effect of testing the cleaning ability of the toothbrush to be tested in different scenarios.

[0127] It should be noted that the weight values of the first ratio data and the second ratio data can be set according to the use of the toothbrush to be tested. For example, for a toothbrush to be tested that focuses on removing dental plaque, the weight value of the first ratio data can be set relatively large, such as 0.6 - 0.9; for another example, for a toothbrush to be tested that focuses on removing dental stains, the weight value of the second ratio data can be set relatively large, such as 0.6 - 0.9; for another example, for a toothbrush to be tested that removes both dental plaque and dental stains, the weight values of the first ratio data and the first ratio data can be equal.

[0128] In one example, taking the attachment ratio data as the first ratio data, obtaining the first ratio data of the attachments on the dental mold before and after cleaning, see Figure 6 , including steps 61 to 63.

[0129] In step 61, obtain the initial area of the attachment on the labial and buccal surfaces of the teeth of the dental mold before cleaning; the attachment is the first attachment.

[0130] In this step, obtain the first area of the attachment on the labial and buccal surfaces of each tooth in at least one tooth in the initial image, and then obtain the average value or cumulative value of the first areas of the at least one tooth as the initial area.

[0131] In some examples, the controller 500 can start an image processing program and select the initial image. Then, the image option (Image) in the image processing program can be selected, and the type option (Type) can be selected in the pop-up window of the image option. Then, 8-bit (8Bit) can be selected in the pop-up window of the type option. After that, the edit option (Edit) can be selected, and the invert option (Invert) can be selected in the pop-up window of the edit option. Finally, fill in 2 to 150 in the parameter option (Threshold) in the pop-up window of the adjustment option (Adjust) of the image option, and trigger the OK button. The teeth in the initial image change from Figure 7 Figure (a) of Figure 7 to Figure (b) of Figure 7 and then to Figure (c) of . In this example, by adjusting the grayscale parameters of the initial image, the contrast between the attachment and the background can be made larger, and the area of the attachment can be obtained more accurately.

[0132] In this example, the labial and buccal surfaces of each tooth can be determined, such as Figure 7 the white area in Figure (c) of . The first pixel area can be obtained. Then, the number of pixels in the first pixel area can be counted, and the total area of the labial and buccal surfaces included in the initial image can be obtained. This area is the initial area of the teeth's labial and buccal surfaces. Since the labial and buccal surfaces are coated with the test attachment before cleaning, this initial area is also the initial area of the attachment.

[0133] In some embodiments, the above image detection process can be implemented using an image detection model based on a deep neural network (DNN, Deep Neural Network). For example, an image detection model for detecting the labial and buccal surfaces of teeth can be pre-trained, and then the collected initial image can be input into the pre-trained image detection model, and the initial area of the labial and buccal surfaces of the teeth predicted and output by the image detection model can be obtained.

[0134] In step 62, obtain the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental mold after cleaning.

[0135] In this step, after cleaning the dental model, place the dental model in the specified position and take an image to obtain a test image; then, obtain the second area of the attachment on the labial and buccal surfaces of at least one tooth in the test image; after that, obtain the average value or cumulative value of the second areas of at least one tooth as the remaining area. It is understandable that the way to obtain the remaining area can be the same as the way to obtain the attachment area in step 61, which will not be elaborated here.

[0136] In step 63, obtain the ratio of the remaining area to the initial area as the first ratio data of the dental model.

[0137] In this step, obtain the ratio of the remaining area to the initial area to get the attachment ratio data K. It is understandable that when the initial area remains unchanged, the smaller the value of the above attachment ratio data, the smaller the area of the attachment, that is, the more attachments are removed, indicating a better cleaning effect on the attachments, which also reflects a stronger cleaning power of the toothbrush against the dental plaque residue on the teeth. On the contrary, the larger the ratio, the larger the area of the attachment, that is, the fewer attachments are removed, indicating a worse cleaning effect on the attachments, which also reflects a weaker cleaning power of the toothbrush against the dental plaque residue on the teeth.

[0138] In another example, taking the attachment ratio data as the second ratio data, obtaining the second ratio data of the attachment on the dental model before and after cleaning may include: obtaining the initial area of the attachment on the labial and buccal surfaces of the teeth of the dental model before cleaning, and the attachment is the second attachment; then, obtaining the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental model after cleaning; after that, obtaining the difference between the initial area and the remaining area to get the area change amount; finally, obtaining the ratio of the area change amount to the initial area as the second ratio data of the dental model. It is understandable that the difference between the scheme for obtaining the second ratio data and the scheme for obtaining the first ratio data lies in different attachments and different pressures applied by the brush head, and the rest of the schemes are the same. For specific details, refer to Figure 6 the content of the exemplified scheme, which will not be elaborated here.

[0139] In yet another example, taking the test data including the evaluation data of the dental model as an example, refer to Figure 8 , which includes step 81 and step 82.

[0140] In step 81, obtain the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental model.

[0141] It is understandable that the way to obtain the remaining area in step 81 is the same as the way to obtain the remaining area in step 62, which will not be elaborated here. In this example, the attachment on the labial and buccal surfaces of the teeth can be realized by the first attachment.

[0142] In step 82, the evaluation scores of each tooth are determined according to the remaining area and a preset area threshold.

[0143] In this step, the test system stores preset area thresholds, such as 1 / 5, 1 / 3, 2 / 3, or 1, etc., which can be set according to specific classification types. The corresponding relationship between the remaining area and the preset area threshold is shown in Table 1.

[0144] Table 1

[0145] Cleanliness of the labial and buccal surfaces Evaluation score Effect expression No obvious attachments 0 High ability to prevent dental diseases Attachment area less than 1 / 5 1 Relatively high ability to prevent dental diseases 1 / 5 ≤ Attachment area < 1 / 3 2 Relatively low ability to prevent dental diseases 1 / 3 ≤ Attachment area < 2 / 3 3 Low ability to prevent dental diseases 2 / 3 ≤ Attachment area < 1 4 Extremely low ability to prevent dental diseases Full coverage of attachments 5 No ability to prevent dental diseases

[0146] The dental diseases in Table 1 include but are not limited to dental caries, periodontal diseases, and tooth pigment deposition, which can be set according to specific scenarios.

[0147] Through the corresponding relationship shown in the above Table 1, after obtaining the image of the labial and buccal surfaces of the teeth of the dental mold 200, based on image processing technology, the area of dental plaque can be determined by feature analysis of the image of the labial and buccal surfaces of the teeth. Then, through the corresponding relationship described in Table 1, the corresponding remaining area can be determined. After obtaining the remaining area, combined with the above corresponding relationship, each tooth can be evaluated to obtain the evaluation scores of each tooth.

[0148] In step 83, the evaluation data of the dental mold are determined according to the evaluation scores of each tooth.

[0149] In this step, the average value of the evaluation scores of each tooth can be obtained as the evaluation data of the dental mold.

[0150] In some examples, at least three dental molds can be cleaned. After obtaining the evaluation scores of each tooth, the average value of the evaluation scores of each tooth in the dental mold is obtained to get the first average value; then, the average value of the first average values corresponding to at least three dental molds is obtained to get the second average value, and the second average value is used as the evaluation data of the dental mold. Testing multiple dental molds can improve the test accuracy.

[0151] In one example, taking the test data including the fitting degree data of the toothbrush to be tested as an example, see Figure 9 , which includes step 91 and step 92.

[0152] In step 91, the contact area between the brush head of the toothbrush to be tested and the labial and buccal surfaces of each tooth in the dental mold is obtained.

[0153] In this step, when the toothbrush to be tested is placed on the labial and buccal surfaces of the teeth, contact is formed between the surface of the brush head and the surface of the teeth.

[0154] In one example, the image acquisition device can be placed on one side of the toothbrush to be tested and the dental mold, so as to capture an image as shown in Figure 10 Figure (a) in

[0155] It is understandable that an image can be taken when the toothbrush under test is placed on the labial and buccal surfaces of each tooth. The brush head 101 contacts the labial and buccal surface of one of the teeth 102 in the dental model, and the length of the contact area between the two is d. Then, based on the above image, the contact area between the labial and buccal surface of the tooth and the toothbrush under test is calculated. For example, the length d of the contact area between the toothbrush under test and the labial and buccal surface of the tooth can be calculated, such as by calculating the number of pixels in the contact area to calculate the length of the contact area. Given the width of the brush head of the toothbrush under test, the product of the above length and width is the contact area. It is understandable that in the above process, it is considered that the widths of the brush head of the toothbrush under test and the labial and buccal surface of the tooth are the same. Therefore, after obtaining the length of the contact area, the area of the contact area can be calculated.

[0156] In step 92, the fitting degree data of the toothbrush under test is obtained based on the contact area corresponding to each tooth and the area of the brush head.

[0157] In this step, the fitting degree of the toothbrush under test can be obtained based on the contact area corresponding to each tooth and the area of the brush head. For example, the average area value of the dental model can be obtained based on the contact area corresponding to each tooth of the dental model. Then, the ratio of the average area value to the area of the brush head can be obtained, and this ratio is used as the fitting degree of the toothbrush under test.

[0158] In this step, by obtaining the fitting degree of the toothbrush under test, it can be determined whether the brush head of the toothbrush under test is suitable for the actual use scenario, which is beneficial to assisting in designing the brush head configuration suitable for the use scenario.

[0159] In one example, the image acquisition device can be placed on one side of the toothbrush under test and the dental model, so as to capture an image as shown in Figure 10 Figure (b) below, where the tooth 102 contacts the gum 103 and the brush head 101. Image processing technology can be used to determine the effective contact area; then, the ratio of the effective contact area to the area of the toothbrush is calculated as the fitting degree of the toothbrush under test.

[0160] In another example, the fitting degree corresponding to Figure (a) and the fitting degree corresponding to the (b) image can be weighted, and the final result is used as the fitting degree of the toothbrush under test. Figure 10 It should be noted that those skilled in the art can select the calculation method of the fitting degree according to the specific scenario, and the corresponding solutions fall within the scope of this disclosure.

[0161] In one example, taking the test data including the cleaning time data of each tooth in the dental model as an example, see

[0162] , including: Figure 11 :

[0163] In step 111, obtain the total duration for the toothbrush under test to clean the dental mold.

[0164] In this step, the total duration T0 for the toothbrush under test to clean the dental mold can be obtained, which reflects the cleaning duration for the labial and buccal surfaces of each tooth during the cleaning process. Here, the total duration T0 of the cleaning process is the aforementioned preset duration.

[0165] In step 112, obtain the number of surfaces of the teeth cleaning the dental mold as the first quantity.

[0166] In this step, as shown in Figure 2 each tooth includes multiple cleaning surfaces. For example, a molar includes 3 cleaning surfaces, namely the labial (buccal) surface M1, the lingual (palatal) surface M2, and the occlusal surface M3, while the remaining teeth include the labial (buccal) surface M1 and the lingual (palatal) surface M2, excluding the occlusal surface M3. For the standard dental mold 200, it includes a total of 28 teeth, and the 28 teeth include a total of 28 lingual (palatal) surfaces, 28 labial (buccal) surfaces, and 16 occlusal surfaces. The number of surfaces of the teeth to be cleaned refers to the total number of all cleaning surfaces of the teeth to be cleaned. For example, when all 28 teeth on the dental mold are cleaned, the number of surfaces of the teeth to be cleaned is: 28 + 28 + 16 = 72, that is, the first quantity K1 is equal to 72.

[0167] In step 113, obtain the number of surfaces of the teeth that the bristles of the toothbrush under test cover simultaneously as the second quantity.

[0168] During the brushing process, the brush head of the toothbrush can often cover multiple cleaning surfaces simultaneously. Therefore, the cleaning time for each cleaning surface needs to be combined with the number of teeth that the bristles of the toothbrush under test cover simultaneously, that is, the second quantity K2.

[0169] In step 114, determine the time for cleaning the labial and buccal surfaces of each tooth in the dental mold based on the total duration, the first quantity, and the second quantity as the cleaning time data.

[0170] In this step, the cleaning time data for the labial and buccal surfaces of each tooth in the dental mold can be determined based on the total duration, the first quantity, and the second quantity. That is, the cleaning time for each tooth is: T = T0 / K1 * K2. For example, the total duration of the cleaning process T0 = 2 min = 2 * 60 s = 120 s, the number of surfaces of the teeth to be cleaned is K1 = 72, and the number of teeth that the bristles of the toothbrush under test can cover simultaneously is the second quantity K2 = 3. Then the cleaning time data T = 120 / 72 * 3 = 5 s.

[0171] In this way, the dental mold test data can be obtained in this step.

[0172] In step 53, determine the labial and buccal surface cleaning index of the toothbrush under test according to the test data, where the labial and buccal surface cleaning index is used to represent the cleaning degree of the toothbrush under test for cleaning the labial and buccal surfaces.

[0173] In this step, determine the labial and buccal surface cleaning index of the toothbrush under test according to the test data, see Figure 12 , including steps 121 to 122.

[0174] In step 121, obtain the initial labial and buccal surface cleaning index of the toothbrush under test according to the test data corresponding to each dental model.

[0175] In this step, first obtain the initial labial and buccal surface cleaning index of the toothbrush under test according to the test data corresponding to each dental model, as shown in formula (1).

[0176] y(M) = f(K, Z, Y, T) (1)

[0177] In formula (1), f() represents a fusion function, which is used to perform a fusion calculation on the attachment ratio data K, evaluation data Z, cleaning time data T, and fitting degree data Y, and M represents the labial and buccal surface cleaning index.

[0178] In one example, the weight values corresponding to each item of data in the test data can be obtained; each item of data includes attachment ratio data, evaluation data, cleaning time data, and fitting degree data; then, the product of each item of data and its corresponding weight value is obtained respectively to obtain weighted data; after that, the cumulative value of the weighted data corresponding to each item of data is obtained, and the cumulative value is used as the initial labial and buccal surface cleaning index corresponding to the dental model, as shown in formula (2).

[0179] y(M) = αK + βZ + ωY + θT (2)

[0180] In formula (2), α represents the weight value of the attachment ratio data K, β represents the weight value of the evaluation data Z, ω represents the weight value of the fitting degree data Y, and θ represents the weight value of the cleaning time data T. In the embodiments of the present disclosure, no specific limitations are imposed on the specific values of α, β, ω, and θ. Those skilled in the art can select the corresponding coefficient values according to specific application scenarios, and the present disclosure will not elaborate further on this.

[0181] In step 122, obtain the average value of the labial and buccal surface cleaning indexes corresponding to the at least one dental model to obtain the labial and buccal surface cleaning index of the toothbrush under test.

[0182] In one example, when the number of dental models is one, the initial labial and buccal surface cleaning index of the dental model can be used as the labial and buccal surface cleaning index of the toothbrush under test.

[0183] In another example, when the number of dental models is multiple, the average value of the initial labial and buccal surface cleaning indices of the multiple dental models can be used as the labial and buccal surface cleaning index of the tested toothbrush. For example, the labial and buccal surface cleaning index y(M) of 3 dental models = {y(M1) + y(M2) + y(M3)} / 3, thereby avoiding the error caused by a single dental model.

[0184] So far, for the test method provided by the embodiments of the present disclosure, it is possible to first control the brush head of the tested toothbrush to clean the labial and buccal surfaces of the teeth in at least one dental model for a preset duration, and the labial and buccal surfaces of the teeth are coated with test attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; then, obtain the test data of the dental model; after that, determine the labial and buccal surface cleaning index of the tested toothbrush according to the test data, and the labial and buccal surface cleaning index is used to represent the cleaning degree of the tested toothbrush for cleaning the labial and buccal surfaces. In this way, this embodiment objectively describes the cleaning degree of the labial and buccal surfaces of the teeth by the labial and buccal surface cleaning index of the tested toothbrush, which is beneficial to assisting in improving the brush head of the tested toothbrush and evaluating the cleaning ability of different tested toothbrushes in the market during the design process, and improving the user experience.

[0185] Based on a test method provided by the embodiments of the present disclosure, the embodiments of the present disclosure also provide a test device. Refer to Figure 13 , the device includes:

[0186] A cleaning control module 131, configured to control the brush head of the tested toothbrush to clean the labial and buccal surfaces of the teeth in at least one dental model for a preset duration, and the labial and buccal surfaces of the teeth are coated with test attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed;

[0187] A data acquisition module 132, configured to acquire the test data of the dental model;

[0188] A specified determination module 133, configured to determine the labial and buccal surface cleaning index of the tested toothbrush according to the test data, and the labial and buccal surface cleaning index is used to represent the cleaning degree of the tested toothbrush for cleaning the labial and buccal surfaces.

[0189] It should be noted that the system shown in this embodiment matches the content of the method embodiment, and the content of the above method embodiment can be referred to and will not be elaborated here.

[0190] Those skilled in the art will readily think of other implementation manners of the present disclosure after considering the specification and practicing the disclosure herein. The present disclosure is intended to cover any variations, uses, or adaptations, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0191] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A testing method, characterized in that, The method includes: Controlling the brush head of the toothbrush under test to clean the labial and buccal surfaces of the teeth in at least one dental mold for a preset duration, where the labial and buccal surfaces of the teeth are coated with attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; Obtaining the test data of the dental mold; Determining the labial and buccal surface cleaning index of the toothbrush under test according to the test data, and the labial and buccal surface cleaning index is used to represent the cleaning degree of the toothbrush under test for cleaning the labial and buccal surfaces.

2. The method according to claim 1, wherein The test data of the dental mold includes at least one of the following: The attachment ratio data of the dental mold, where the attachment ratio data refers to the change in attachments in the images of the dental mold before and after cleaning; The evaluation data of the dental mold, where the evaluation data refers to the evaluation score of the attachments on the labial and buccal surfaces of the teeth of the dental mold by the tester; The fitting degree data of the toothbrush under test, where the fitting degree data refers to the effective contact area between the toothbrush under test and the labial and buccal surfaces of the teeth in the dental mold; The cleaning time data of each tooth in the dental mold, where the cleaning time data refers to the contact time between the bristles of the toothbrush under test and the labial and buccal surfaces of the teeth.

3. The method according to claim 2, wherein The attachment ratio data of the dental mold is obtained by the following method: Obtaining the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental mold before cleaning; Obtaining the remaining area of the attachments on the labial and buccal surfaces of the teeth of the dental mold after cleaning; Obtaining the ratio of the remaining area to the initial area as the attachment ratio data of the dental mold.

4. The method according to claim 2, wherein The attachment ratio data of the dental mold is obtained by the following method: When the pressure between the toothbrush under test and the labial and buccal surfaces of the teeth is the first set pressure, obtaining the first ratio data of the attachments on the dental mold before and after cleaning; When the pressure between the toothbrush under test and the labial and buccal surfaces of the teeth is the second set pressure, obtaining the second ratio data of the attachments on the dental mold before and after cleaning; Obtaining the weighted cumulative value of the first ratio data and the second ratio data to obtain the attachment ratio data.

5. The method according to claim 4, characterized in that, The first ratio data of the first attachments on the dental mold before and after cleaning is obtained by the following method: Obtaining the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental mold before cleaning; the attachments are the first attachments; Obtaining the remaining area of the attachments on the labial and buccal surfaces of the teeth of the dental mold after cleaning; Obtaining the difference between the initial area and the remaining area to obtain the area change amount; Obtaining the ratio of the area change amount to the initial area as the first ratio data of the dental mold.

6. The method according to claim 4, wherein The second ratio data of the attachments on the dental mold before and after cleaning is obtained by the following method: Obtaining the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental mold before cleaning; the attachments are the second attachments; Obtaining the remaining area of the attachments on the labial and buccal surfaces of the teeth of the dental mold after cleaning; Obtaining the difference between the initial area and the remaining area to obtain the area change amount; Obtaining the ratio of the area change amount to the initial area as the second ratio data of the dental mold.

7. The method according to claim 5 or 6, characterized in that, Obtaining the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental mold before cleaning includes: Apply the attachment evenly on at least one tooth of the dental mold and dry it for a second preset duration at a preset temperature; the attachment is the first attachment and / or the second attachment, and the adhesion of the first attachment to the tooth is less than the adhesion of the second attachment to the tooth; Obtain an image of the cleaned dental mold to get an initial image; Obtain the first area of the attachment on the labial and buccal surfaces of each tooth among the at least one tooth; Obtain the average value or cumulative value of the first areas of the at least one tooth as the initial area.

8. The method according to claim 5 or 6, characterized in that, Obtain the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental mold after cleaning, including: Obtain an image of the cleaned dental mold to get a test image; Obtain the second area of the attachment on the labial and buccal surfaces of at least one tooth in the test image; the attachment is the first attachment and / or the second attachment, and the adhesion of the first attachment to the tooth is less than the adhesion of the second attachment to the tooth; Obtain the average value or cumulative value of the second areas of the at least one tooth as the remaining area.

9. The method according to claim 2, characterized in that, Obtain the evaluation data of the dental mold, including: Obtain the remaining area of the attachment on the labial and buccal surfaces of the teeth of the dental mold; Determine the evaluation score of each tooth according to the remaining area and a preset area threshold; Determine the evaluation data of the dental mold according to the evaluation scores of each tooth.

10. The method according to claim 9, wherein Determine the evaluation data of the dental mold according to the evaluation scores of each tooth, including: Obtain the average value of the evaluation scores of each tooth in the dental mold to get a first average value; Obtain the average value of the first average values corresponding to at least three dental molds to get a second average value, and use the second average value as the evaluation data of the dental mold.

11. The method according to claim 2, wherein Obtain the fitting degree data of the measured toothbrush, including: Obtain the contact area between the brush head of the measured toothbrush and the labial and buccal surfaces of each tooth in the dental mold; Obtain the fitting degree data of the measured toothbrush according to the contact area corresponding to each tooth and the area of the brush head.

12. The method according to claim 11, wherein Obtain the fitting degree data of the measured toothbrush according to the contact area corresponding to each tooth and the area of the brush head, including: Obtain the average area of the dental mold according to the contact areas corresponding to each tooth of the dental mold; Obtain the ratio of the average area to the area of the brush head, and use the ratio as the fitting degree data of the measured toothbrush.

13. The method according to claim 2, wherein Obtain the cleaning time data of each tooth in the dental mold, including: Obtain the total duration for the measured toothbrush to clean the dental mold; Obtain the number of surfaces of the teeth of the dental mold to be cleaned as a first number; Obtain the number of surfaces of the teeth simultaneously covered by the bristles of the measured toothbrush as a second number; Determine the time for cleaning the labial and buccal surfaces of each tooth in the dental mold according to the total duration, the first number, and the second number as the cleaning time data.

14. The method according to claim 1, wherein Determine the labial and buccal surface cleaning index of the measured toothbrush according to the test data, including: Obtain the initial labial and buccal surface cleaning index of the measured toothbrush according to the test data corresponding to each dental mold; Obtain the average value of the labial and buccal surface cleaning indexes corresponding to the at least one dental mold to get the labial and buccal surface cleaning index of the measured toothbrush.

15. The method according to claim 14, wherein Obtaining the initial labial and buccal surface cleaning index of the to-be-tested toothbrush according to the test data corresponding to each dental model, including: Obtaining the weight values corresponding to each item of data in the test data; each item of data includes the attachment proportion data, evaluation data, cleaning time data, and fitting degree data; Respectively obtaining the product of each item of data and its corresponding weight value to obtain weighted data; Obtaining the cumulative value of the weighted data corresponding to each item of data, and using the cumulative value as the initial labial and buccal surface cleaning index corresponding to the dental model.

16. A testing device, characterized in that, The device includes: A cleaning control module, configured to control the brush head of the to-be-tested toothbrush to clean the labial and buccal surfaces of the teeth in at least one dental model for a preset duration, and the labial and buccal surfaces of the teeth are coated with attachments; the labial and buccal surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; A data acquisition module, configured to acquire the test data of the dental model; A specified determination module, configured to determine the labial and buccal surface cleaning index of the to-be-tested toothbrush according to the test data, and the labial and buccal surface cleaning index is used to represent the cleaning degree of the to-be-tested toothbrush for cleaning the labial and buccal surfaces.

17. A test system, characterized in that, Including: A processor and a memory; The memory is used to store the computer program executable by the processor; The processor is configured to execute the computer program in the memory to implement the method according to any one of claims 1 to 15.

18. The system according to claim 17, wherein It further includes: A robotic arm, the robotic arm is electrically connected to the processor; the robotic arm is further configured to control the robotic arm to clamp the to-be-tested toothbrush and drive the to-be-tested toothbrush to perform a cleaning action after receiving the control signal of the processor.

19. The system according to claim 18, wherein The robotic arm has learning and memory functions.

20. The system according to claim 17, wherein It further includes: An image acquisition device; the image acquisition device is electrically connected to the processor; The image acquisition device is further configured to capture an image of the dental model and send it to the processor when receiving the control signal of the processor.

Images