Test method, device and system

Abstract

A test method, a device and a system. The method comprises: controlling a head of a toothbrush under test to clean labial and buccal surfaces of teeth of at least one dental cast for a preset duration, the labial and buccal surfaces of the teeth being coated with an attachment, and the labial and buccal surfaces referring to tooth surfaces close to the lip and the cheek after teeth closure (51); acquiring test data of the dental cast (52); and, on the basis of the test data, determining a labial and buccal surface cleanliness index of the toothbrush under test, the labial and buccal surface cleanliness index being used for representing the cleanliness degree of the toothbrush under test cleaning the labial and buccal surfaces (53). The present disclosure uses labial and buccal surface cleanliness indexes of toothbrushes under test to objectively describe the cleanliness degree of the toothbrushes under test cleaning labial and buccal surfaces of teeth, so as to assist in improving heads of toothbrushes under test during the process of design and evaluating the cleaning capability of different toothbrushes under test in the market, thus improving use experience.

Description

Testing methods, devices and systems Cross-reference to related applications This disclosure claims priority to the Chinese patent application No. 202311827209.0 filed with the Patent Office of China on December 27, 2023, the entire contents of which are incorporated by reference into this disclosure. Technical Field

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

[0002] With the public's growing awareness of oral care and the rise of consumer spending, electric toothbrushes have become a rapidly growing small household appliance. Compared to conventional toothbrushes, electric toothbrushes can more effectively clean teeth, removing plaque and cleaning between teeth. This ensures a better cleaning of the user's teeth, thereby reducing the risk of oral diseases such as gingivitis, periodontal disease, and bleeding gums caused by inadequate cleaning.

[0003] Electric toothbrushes include some functional gears, such as plaque removal gear, cleaning gear or whitening gear; or include some functional brush heads, such as plaque removal brush head, cleaning brush head or whitening brush head. The efficacy of these functional gears or brush heads is usually difficult to evaluate, or they are tested subjectively by manual methods, resulting in subjective test results, which are greatly affected by the environment and have high testing costs. Summary of the Invention

[0004] According to a first aspect of an embodiment of the present disclosure, a testing method is provided, comprising: controlling the brush head of a toothbrush under test to clean the labial and cheek surfaces of at least one tooth in a dental mold for a preset time, the labial and cheek surfaces of the tooth being coated with attachments; the labial and cheek surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; obtaining test data of the dental mold; determining a labial and cheek cleaning index of the toothbrush under test based on the test data, the labial and cheek cleaning index being used to indicate the degree of cleanliness of the labial and cheek surfaces by the toothbrush under test.

[0005] In some embodiments, the test data of the dental cast includes at least one of the following: attachment ratio data of the dental cast, wherein the attachment ratio data refers to the attachment changes in the image of the dental cast before and after cleaning; evaluation data of the dental cast, wherein the evaluation data refers to the evaluation score of the attachments on the labial and buccal surfaces of the teeth in the dental cast by the tester; fit data of the tested toothbrush, wherein the fit data refers to the effective contact area between the tested toothbrush and the labial and buccal surfaces of the teeth in the dental cast; cleaning time data of each tooth in the dental cast, wherein the cleaning time data refers to the contact time between the brush filaments of the tested toothbrush and the labial and buccal surfaces of the teeth.

[0006] In some embodiments, the attachment ratio data of the dental cast is obtained in the following manner: when the pressure between the toothbrush being tested and the labial and buccal surfaces of the teeth is a first set pressure, first ratio data of the attachments of the dental cast before and after cleaning is obtained; when the pressure between the toothbrush being tested and the labial and buccal surfaces of the teeth is a second set pressure, second ratio data of the attachments of the dental cast before and after cleaning is obtained; and the weighted cumulative value of the first ratio data and the second ratio data is obtained to obtain the attachment ratio data.

[0007] In some embodiments, the first proportional data of the first attachment of the dental cast before and after cleaning is obtained by: obtaining the initial area of ​​the attachment on the labial and buccal surfaces of the teeth of the dental cast before cleaning; the attachment is the first attachment; obtaining the remaining area of ​​the attachment on the labial and buccal surfaces of the teeth of the dental cast after cleaning; obtaining the ratio of the remaining area to the initial area as the first proportional data of the dental cast.

[0008] In some embodiments, the second proportional data of the attachments of the dental cast before and after cleaning is obtained by: obtaining the initial area of ​​the attachments on the labial and buccal surfaces of the teeth of the dental cast before cleaning; the attachments are second attachments; obtaining the remaining area of ​​the attachments on the labial and buccal surfaces of the teeth of the dental cast after cleaning; obtaining the difference between the initial area and the remaining area to obtain the area change; obtaining the ratio of the area change to the initial area as the second proportional data of the dental cast.

[0009] In some embodiments, the initial area of ​​the attachments on the labial and buccal surfaces of the teeth of the dental cast before cleaning is obtained by: evenly applying the attachments on at least one tooth of the dental cast, and drying at a preset temperature for a second preset time; the attachments are first attachments and / or second attachments, and the adhesion between the first attachments and the teeth is less than the adhesion between the second attachments and the teeth; obtaining an image of the dental cast after cleaning to obtain an initial image; obtaining the first area of ​​the attachments on the labial and buccal surfaces of each tooth of the at least one tooth; obtaining the average value or cumulative value of the first areas of the at least one tooth as the initial area.

[0010] In some embodiments, obtaining the remaining area of ​​attachments on the labial and buccal surfaces of the teeth of the dental cast after cleaning includes: obtaining an image of the dental cast after cleaning to obtain a test image; obtaining a second area of ​​attachments on the labial and buccal surfaces of at least one tooth in the test image; the attachments are first attachments and / or second attachments, and the adhesion between the first attachment and the teeth is less than the adhesion between the second attachment and the teeth; obtaining the average value or cumulative value of the second areas of the at least one tooth as the remaining area.

[0011] In some embodiments, obtaining the evaluation data of the dental cast includes: obtaining the remaining area of ​​attachments on the labial and buccal surfaces of the teeth of the dental cast; determining the evaluation score of each tooth based on the remaining area and a preset area threshold; and determining the evaluation data of the dental cast based on the evaluation score of each tooth.

[0012] In some embodiments, the evaluation data of the dental cast is determined based on the evaluation score of each tooth, including: obtaining the average value of the evaluation score of each tooth in the dental cast to obtain a first average value; obtaining the average value of the first average value corresponding to at least three dental casts to obtain a second average value, and using the second average value as the evaluation data of the dental cast.

[0013] In some embodiments, obtaining the fit data of the toothbrush being tested includes: obtaining the contact area between the brush head of the toothbrush being tested and the labial and buccal surfaces of each tooth in the dental mold; and obtaining the fit data of the toothbrush being tested based on the contact area corresponding to each tooth and the area of ​​the brush head.

[0014] In some embodiments, the fit data of the toothbrush being tested is obtained based on the contact area corresponding to each tooth and the area of ​​the brush head, including: obtaining the average area of ​​the dental mold based on the contact area corresponding to each tooth of the dental mold; obtaining the ratio of the average area to the area of ​​the brush head, and using the ratio as the fit data of the toothbrush being tested.

[0015] In some embodiments, obtaining the cleaning time data of each tooth in the dental cast includes: obtaining the total time the tested toothbrush cleans the dental cast; obtaining the number of tooth surfaces that clean the dental cast as a first quantity; obtaining the number of tooth surfaces that are simultaneously covered by the brush wire of the tested toothbrush as a second quantity; and determining the time for cleaning the labial and buccal surfaces of each tooth in the dental cast based on the total time, the first quantity, and the second quantity as the cleaning time data.

[0016] In some embodiments, the lip and cheek cleaning index of the toothbrush under test is determined based on the test data, including: obtaining the initial lip and cheek cleaning index of the toothbrush under test based on the test data corresponding to each dental mold; obtaining the average value of the lip and cheek cleaning index corresponding to at least one dental mold to obtain the lip and cheek cleaning index of the toothbrush under test.

[0017] In some embodiments, the initial lip and cheek cleaning index of the toothbrush being tested is obtained based on the test data corresponding to each dental mold, including: obtaining the weight value corresponding to each item of data in the test data; the each item of data includes attachment proportion data, evaluation data, cleaning time data and fit data; obtaining the product of each item of data and the corresponding weight value to obtain weighted data; obtaining the cumulative value of the weighted data corresponding to the each item of data, and using the cumulative value as the initial lip and cheek cleaning index corresponding to the dental mold.

[0018] According to a second aspect of an embodiment of the present disclosure, a testing device is provided, comprising: a cleaning control module for controlling the brush head of a tested toothbrush to clean the labial and cheek surfaces of at least one tooth in a dental mold for a preset period of time, wherein the labial and cheek surfaces of the tooth are coated with attachments; the labial and cheek surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; a data acquisition module for acquiring test data of the dental mold; and a designation and determination module for determining a labial and cheek cleaning index of the tested toothbrush based on the test data, wherein the labial and cheek cleaning index is used to indicate the degree to which the tested toothbrush cleans the labial and cheek surfaces.

[0019] According to a third aspect of an embodiment of the present disclosure, a test system is provided, comprising: a processor and a memory; the memory is used to store a computer program executable by the processor; the processor is used to execute the computer program in the memory to implement a method as described in any one of the first aspects.

[0020] In some embodiments, 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.

[0021] In some embodiments, the robotic arm has learning and memory capabilities.

[0022] In some embodiments, 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 the control signal of the processor.

[0023] The technical solutions provided by the embodiments of the present disclosure may have the following beneficial effects:

[0024] The test method provided by the embodiment of the present disclosure can first control the brush head of the toothbrush under test to clean the lip and cheek surfaces of the teeth in at least one dental mold for a preset time, where the lip and cheek surfaces of the teeth are coated with attachments; the lip and cheek surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; then, the test data of the dental mold is obtained; thereafter, the lip and cheek cleaning index of the toothbrush under test is determined based on the test data, and the lip and cheek cleaning index is used to indicate the degree of cleanliness of the lip and cheek surfaces cleaned by the toothbrush under test. In this way, the present embodiment objectively describes the degree of cleanliness of the lip and cheek surfaces of the teeth cleaned by the toothbrush under test through the lip and cheek cleaning index of the toothbrush under test, which is beneficial to assist in improving the brush head of the toothbrush under test during the design process and the evaluation of the cleaning ability of different toothbrushes under test in the market, thereby improving the user experience.

[0025] 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 disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] 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.

[0027] Fig. 1 is a schematic diagram of a human oral structure according to an exemplary embodiment.

[0028] FIG2 is a schematic diagram of a standard dental model according to an exemplary embodiment.

[0029] Fig. 3 is a block diagram of a testing system according to an exemplary embodiment.

[0030] FIG4 is a schematic diagram of a dental model structure according to an exemplary embodiment.

[0031] FIG5 is a flowchart showing a testing method according to an exemplary embodiment.

[0032] FIG6 is a flow chart showing a method of obtaining attachment ratio data according to an exemplary embodiment.

[0033] 7A to 7C are schematic diagrams showing visual changes in image processing according to an exemplary embodiment.

[0034] Fig. 8 is a flow chart showing a method of obtaining evaluation scores according to an exemplary embodiment.

[0035] Fig. 9 is a flow chart showing a method of obtaining fit data according to an exemplary embodiment.

[0036] 10A and 10B are schematic diagrams showing a contact surface between a brush head and teeth according to an exemplary embodiment.

[0037] Fig. 11 is a flow chart showing a method of obtaining cleaning time data according to an exemplary embodiment.

[0038] FIG12 is a flow chart showing a method of testing a lip and cheek cleansing index according to an exemplary embodiment.

[0039] Fig. 13 is a block diagram showing a testing device according to an exemplary embodiment. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The exemplary embodiments described below are not intended to represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0041] The disclosed embodiments provide a testing method that can be used in a testing system to test tooth cleaning devices such as electric toothbrushes and bristle brushes. Subsequent embodiments will adopt a solution in which the toothbrush being tested is an electric toothbrush. However, it should be understood that the toothbrush being tested may also be an ordinary toothbrush. In summary, by objectively quantifying the ability of the toothbrush being tested to clean the lip and cheek surfaces of the teeth, thereby simulating the cleaning effect on the lip and cheek surfaces of real human teeth, the ability of the toothbrush to prevent caries and / or periodontal disease is reflected, and a complete set of testing standards for the cleaning ability of the toothbrush is provided, thereby objectively and efficiently testing the cleaning power of the toothbrush.

[0042] To facilitate understanding of the embodiments of the present disclosure, some definitions of terms related to the human oral cavity are briefly described below with reference to FIG1 and FIG2 .

[0043] 1 , the human oral cavity is divided into the maxillary and mandibular parts, and the tooth distribution in the mandibular and maxillary parts is the same.

[0044] Referring to Figure 2, taking the mandibular teeth as an example, the side of the molar or premolar closest to the cheek (or lip) is the labiocheirial surface M1 (or, in other words, the labiocheirial surface refers to the surface of the tooth closest to the lips and cheek after the teeth are closed). The side closest to the tongue (or jaw) is the lingual (palatal) side M2. The surface that occludes the maxillary teeth is the occlusal surface M3, which is covered with pits and fissures M4. If the toothbrush does not clean the labiocheirial surface M1 adequately, food or bacteria can easily remain on the periodontium or teeth, leading to periodontitis or dental caries.

[0045] It should be noted that, in combination with Figures 1 and 2, each tooth has a labial and buccal surface, while the first premolar, second premolar, first molar, second molar and third molar have an occlusal surface, that is, the central incisor, lateral incisor and canine have a labial and buccal surface but no occlusal surface.

[0046] In the disclosed embodiment, the toothbrush's cleaning ability on the lip and cheek surfaces M1 of the teeth can be objectively and efficiently tested and evaluated, thereby reflecting the toothbrush's cleaning effect on the user's teeth, and can also reflect the toothbrush's ability to remove plaque and stains from the lip and cheek surfaces, as well as remove plaque and protect the gingival sulcus (periodontal pocket). This evaluation standard can serve as a general industry standard, on the one hand providing intuitive and efficient guidance for users to purchase toothbrush products, and on the other hand providing objective guidance for manufacturers in the R&D stage, effectively preempting risks and forming an effective closed loop for product iteration.

[0047] FIG3 shows an architecture diagram of a detection system in some embodiments of the present disclosure. Referring to FIG3 , the detection system includes: a toothbrush 100 to be tested, a dental mold 200 , a robotic arm 300 , an image acquisition device 400 , and a controller 500 .

[0048] The toothbrush under test 100 is the toothbrush whose cleaning performance is to be tested and evaluated. The toothbrush under test 100 can be either a conventional toothbrush or an electric toothbrush, and this disclosure does not limit this. In the disclosed embodiments, the objective of testing the toothbrush under test 100 is to quantify its cleaning ability on the labial and buccal surfaces of teeth, that is, to quantify the toothbrush's effectiveness in preventing or alleviating periodontitis and / or dental caries.

[0049] Dental cast 200 is a standard dental model made of polymer materials, modeled after the human oral cavity. It includes both teeth and gums. Referring to Figure 4 , the dental cast 200 in the disclosed embodiment utilizes a standard dental cast. The gums 1 can be made of polymer materials, while the teeth 2 can be made of materials such as zirconium dioxide or composite metals. The gums 1 wrap around the teeth 2, fully mimicking the structure of a real human oral cavity.

[0050] It is worth noting that in the toothbrush testing process in related technologies, most tooth model plates are used to simulate human teeth. For example, multiple small protrusions are formed on a stainless steel or other metal plate to simulate the tooth structure, and the cleaning effect of the toothbrush on the small protrusions is used to represent the cleaning effect of the toothbrush. However, this method does not fully conform to the actual human oral structure and cannot truly represent the periodontal and labial and buccal structures of the teeth, resulting in the final test results not reflecting the actual cleaning effect on human teeth. Therefore, in the embodiment of the present disclosure, a tooth model 200 that fully simulates the real human oral cavity is used to reflect the actual cleaning effect on human teeth and improve the detection accuracy.

[0051] The robotic arm 300 is used to clamp the toothbrush 100 to be tested, and the robotic arm 300 can be driven by the controller 500 so that the robotic arm 300 can clamp the toothbrush 100 to be tested to clean the dental mold 200.

[0052] 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 pre-drive the robotic arm 300 to perform a brushing route, so that the robotic arm 300 can automatically record the movement distance and automatically repeat the brushing route to complete the automatic brushing process. In this way, the difficulty of programming the tasks of the robotic arm 300 can be reduced, and the detection cycle can be greatly shortened. As for the specific structure and control principle of the robotic arm 300, those skilled in the art will undoubtedly understand and fully implement it by referring to relevant technologies, and this disclosure will not elaborate on this.

[0053] 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 tested to complete the "Bass method" process on the dental mold 200, which is described below in the present disclosure.

[0054] The image acquisition device 400 is used to capture frame images or video streams of the cleaning process of the tested toothbrush 100 on the dental mold 200. The image acquisition device 400 may include one or more industrial cameras, ToF (Time of flight) sensors, depth cameras, infrared cameras, lidars, etc., so that the planar or three-dimensional image information of the dental mold 200 can be collected in all directions during the cleaning process.

[0055] In an embodiment of the present disclosure, the image acquisition device 400 needs to at least acquire the dental mold images of the dental mold 200 before and after cleaning, so that the controller 500 performs corresponding image processing and analysis based on the dental mold images before and after cleaning, which is explained below in the present disclosure.

[0056] The controller 500 refers to the processing core of the toothbrush detection system, which may include a processor and a memory.

[0057] The processor can be any type of processor with one or more processing cores. It can perform single-threaded or multi-threaded operations and is used to parse instructions to perform operations such as acquiring data, performing logical operations, and issuing operation results.

[0058] The memory may include non-volatile computer-readable storage media, such as at least one disk storage device, flash memory device, distributed storage device remotely located relative to the processor, or other non-volatile solid-state storage device. The memory may have a program storage area for storing non-volatile software programs, non-volatile computer executable programs, and modules for the processor to call to enable the processor to perform one or more of the following method steps. The memory may also include a volatile random access memory medium or a storage portion such as a hard disk as a data storage area for storing operation processing results and data output by the processor.

[0059] In this embodiment, the memory stores computer-readable instructions that can be executed by the processor. When the computer-readable instructions are executed, the processor can perform the toothbrush detection method in the following embodiment. On the other hand, the memory can also store image data captured by the image capture device 400.

[0060] Based on the above test system, the embodiment of the present disclosure further provides a test method. FIG5 is a flowchart of a test method according to an exemplary embodiment. Referring to FIG5 , a test method includes steps 51 to 53.

[0061] In step 51, the brush head of the toothbrush under test is controlled to clean the labial and buccal surfaces of at least one tooth in a 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.

[0062] In this step, the toothbrush 100 to be tested needs to be used to clean the dental model 200, so as to reflect the cleaning ability of the toothbrush 100 to be tested by comparing the effects before and after cleaning.

[0063] In some embodiments, image detection technology can be used to determine the difference in effect before and after cleaning using images before and after cleaning. In other embodiments, the dental casts before and after cleaning can be weighed to determine the difference in effect based on the weight change before and after cleaning.

[0064] To facilitate clearer image comparison, before cleaning the dental mold 200, a certain amount of attachment can be applied to the dental mold 200 to simulate uncleaned dirt or residue on the teeth. For example, a scene in which dental plaque is attached to human teeth can be simulated by applying a certain amount of attachment on the dental mold 200. When applying attachments to several or all teeth to be tested on the dental mold 200, the attachments can be applied evenly to all surfaces of the teeth, or evenly to the lip and cheek surfaces only. In one example, the attachments may include a first attachment and a second attachment, wherein the adhesion of the first attachment to the teeth is less than the adhesion of the second attachment to the teeth. In this way, the first attachment can simulate dental plaque, etc., and the second attachment can simulate tooth stains, etc. In some possible examples, the first attachment can be implemented by ink, etc., and the second attachment can be implemented by plaster powder with added glue, etc., which can be set according to the specific scenario. That is, the embodiments of the present disclosure distinguish between attachments remaining on the teeth. Some attachments have strong adhesion, while some attachments have weak adhesion. By refining the attachments on the teeth, the real situation can be more accurately reflected, thereby obtaining more accurate test data.

[0065] It should be understood that after the attachments are placed, the dental model can be left to rest for a preset time to allow the coating to adhere better to the teeth. Alternatively, the attachments can be dried at a preset temperature for a second preset time to enhance adhesion, such as drying at 45 degrees Celsius for 5 minutes, to more effectively simulate attachments remaining in the human oral cavity, particularly those in the periodontal area.

[0066] Then, after applying attachments (such as dyes) to the dental mold to simulate dental plaque, the image acquisition device 400 can first be used to capture one or more initial images of the dental mold 200. The initial image represents the image before the dental mold is cleaned.

[0067] In one example, after the dental mold is coated with the attachment, it can be fixed to the pressure sensor plane; the toothbrush being tested is fixed to the mechanical arm and rubbed to adjust the angle of the toothbrush, so that the bristles are at 45°±5° with the labial and buccal surfaces of the teeth, and the center of the toothbrush is aligned above the gum line. The pressure of the brush head on the center point of the dental mold is adjusted to 500-300g (or 0.5-3N) through the pressure sensing device. When the first attachment is applied to the dental mold, the pressure of the brush head on the center point of the dental mold is 50-150g (or 0.5-1.5N), and when the second attachment is applied to the dental mold, the pressure of the brush head on the center point of the dental mold is 150-300g (or 1.5-3N).

[0068] It should be noted that in this example, different pressures are applied by the brush head to simulate the effects of users brushing their teeth with different strengths. For example, for users with smoke or coffee stains, the second attachment can be applied and a pressure of 150 to 300 g (or 1.5 to 3 N) can be applied to simulate the scene of removing tooth stains; for users with dental plaque, the first attachment can be applied and a pressure of 50 to 150 g (or 0.5 to 1.5 N) can be applied to simulate the scene of removing dental plaque.

[0069] After capturing the initial image, the controller 500 controls the robotic arm 300 to hold the toothbrush 100 under test and perform a cleaning operation on the dental model 200 for a preset duration, which can be adjusted based on the specific scenario, such as 1 to 5 minutes. It is understood that before cleaning the teeth, 0.45 to 0.55 grams of water can flow into the brush head of the toothbrush under test to simulate the effect of saliva on the teeth in an actual brush head scenario, thereby improving test accuracy.

[0070] In one example, the toothbrush 100 under test can be used to clean the dental model 200 using the Bass brushing method. The Bass brushing method is an internationally recognized method of brushing teeth. When cleaning the lips and cheeks, the Bass brushing method requires the toothbrush to be tilted 45° to contact the teeth, and there are detailed regulations for the direction and sequence of brushing. Those skilled in the art can undoubtedly understand this by referring to relevant technologies, and will not be repeated here.

[0071] To enable the toothbrush 100 under test to perform the Bass brushing technique, the robotic arm 300 can be pre-programmed with the movements of the Bass brushing technique. This allows the controller 500 to control the robotic arm 300 to grip the toothbrush 100 under test and perform cleaning operations on the dental model 200 using the pre-set movements specified by the Bass brushing technique. In one example, the robotic arm 300 has a learning and memory function. A tester can pre-program the robotic arm to perform a brushing routine. The robotic arm 300 will then automatically record the movement distance and repeat the routine, completing the automated brushing process. This reduces the difficulty of programming the robotic arm's tasks and significantly shortens the testing cycle.

[0072] In the embodiment of the present disclosure, after controlling the robotic arm 300 to clamp the toothbrush 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 minute to 5 minutes.

[0073] It should be noted that the above description is an exemplary description of the process of the robotic arm 300 cleaning the dental mold 200. In some examples, a portion of the dental area of ​​the dental mold 200 may be cleaned, and then the next dental area may be moved to the next dental area until the dental mold 200 is completely cleaned. In some examples, the dental area of ​​one dental mold 200 may be cleaned, and after the cleaning is completed, the next dental mold may be cleaned, and so on.

[0074] After the cleaning operation is complete, the image capture device 400 can capture another image of the dental cast 200, also known as a test image. It is understood that the initial image refers to the image of the dental cast 200 before cleaning, and the test image refers to the image of the dental cast 200 after cleaning. The difference between the initial image and the test image can reflect the cleaning effect.

[0075] In step 52, the test data of the dental model is obtained.

[0076] In this step, after cleaning is completed, test data of the dental cast can be obtained. In some examples, the test data of the dental cast can include at least one of the following: attachment ratio data of the dental cast, evaluation data of the dental cast, fit data of the tested toothbrush, and cleaning time data of each tooth in the dental cast.

[0077] In one example, taking the test data including the attachment ratio data of a dental cast, the following steps may be performed: when the pressure between the toothbrush and the buccal surface of the teeth is a first set pressure, obtaining first attachment ratio data of the dental cast before and after cleaning; when the pressure between the toothbrush and the buccal surface of the teeth is a second set pressure, obtaining second attachment ratio data of the dental cast before and after cleaning; and then obtaining the weighted cumulative value of the first and second attachment ratio data to obtain the attachment ratio data. In this way, by simulating the brushing scene of removing tooth stains and plaque under two different set pressures, this example achieves the effect of testing the cleaning ability of the tested toothbrush in different scenarios.

[0078] It should be noted that the weight values ​​of the first proportional data and the second proportional data can be set according to the purpose of the toothbrush being tested. For example, for a toothbrush being tested that focuses on removing dental plaque, the weight value of its first proportional data can be set to be larger, such as 0.6~0.9; for another toothbrush being tested that focuses on removing tooth stains, the weight value of its second proportional data can be set to be larger, such as 0.6~0.9; for another toothbrush being tested that removes both dental plaque and tooth stains, the weight values ​​of the first proportional data and the second proportional data can be equal.

[0079] In one example, taking the attachment ratio data as the first ratio data as an example, the first ratio data of the attachments of the dental cast before and after cleaning is obtained, as shown in FIG6 , including steps 61 to 63 .

[0080] In step 61, the initial area of ​​the attachments on the labial and buccal surfaces of the teeth of the dental model before cleaning is obtained; the attachments are first attachments.

[0081] In this step, a first area of ​​attachments on the labial and buccal surfaces of at least one tooth in the initial image is obtained, and then an average value or cumulative value of the first areas of the at least one tooth is obtained as the initial area.

[0082] In some examples, the controller 500 can start an image processing program and select an initial image. Then, you can select the image option (Image) in the image processing program, select the type option (Type) in the pop-up window of the image option, and then select 8 bits (8Bit) in the pop-up window of the type option; then, select the edit option (Edit), select the conversion option (Invert) in the pop-up window of the edit option, and finally, select the parameter option (Threshold) in the pop-up window of the adjustment option (Adjust) of the image option and fill in 2 to 150, and trigger the confirmation button. The teeth in the initial image change from Figure 7A to Figure 7B and then to Figure 7C. In this example, by adjusting the grayscale parameters of the initial image, the contrast between the attachment and the background can be made greater, and the area of ​​the attachment can be obtained more accurately.

[0083] In this example, the labial and buccal surfaces of each tooth can be determined, such as the white area in Figure 7C, to obtain a first pixel area. The total area of ​​the labial and buccal surfaces included in the initial image can then be counted to obtain the initial area of ​​the labial and buccal surfaces. Because the labial and buccal surfaces were coated with a test attachment before cleaning, this initial area also represents the initial area of ​​the attachment.

[0084] In some embodiments, the image detection process described above can be implemented using an image detection model based on a deep neural network (DNN). For example, an image detection model for detecting the lip and cheek surfaces of teeth can be pre-trained. Then, the captured initial image can be input into the pre-trained image detection model to obtain the initial area of ​​the lip and cheek surfaces predicted by the image detection model.

[0085] In step 62, the remaining area of ​​the attachments on the labial and buccal surfaces of the teeth of the dental model after cleaning is obtained.

[0086] In this step, after cleaning the dental cast, the cast is placed in a designated position and an image is captured to obtain a test image. Then, the second area of ​​the attachment on the labial and buccal surfaces of at least one tooth in the test image is obtained. The average or cumulative value of the second areas of the at least one tooth is then obtained as the residual area. It is understood that the residual area can be obtained using the same method as for obtaining the attachment area in step 61, and this will not be further described here.

[0087] In step 63, the ratio of the remaining area to the initial area is obtained as attachment ratio data of the dental cast.

[0088] In this step, the ratio of the remaining area to the initial area is obtained to obtain the attachment ratio data K. It is understood that, assuming the initial area remains unchanged, a smaller value of the attachment ratio data indicates a smaller attachment area, i.e., more attachments are removed, indicating a better cleaning effect against the attachments, and thus, a stronger cleaning power of the toothbrush against residual dental plaque. Conversely, a larger value of the ratio indicates a larger attachment area, i.e., less attachments are removed, indicating a poorer cleaning effect against the attachments, and thus, a weaker cleaning power of the toothbrush against residual dental plaque.

[0089] In another example, taking the attachment ratio data as the second ratio data, obtaining the second ratio data of the attachment of the dental cast before and after cleaning can include: obtaining the initial area of ​​the attachment on the labial and buccal surfaces of the teeth of the dental cast before cleaning, where 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 cast after cleaning; then obtaining the difference between the initial area and the remaining area to obtain the area change; finally, obtaining the ratio of the area change to the initial area as the second ratio data of the dental cast. It is understandable that the scheme for obtaining the second ratio data differs from the scheme for obtaining the first ratio data in that the attachments are different and the pressure applied by the brush head is different. The other schemes are the same. For details, please refer to the content of the example scheme in Figure 6, which will not be repeated here.

[0090] In yet another example, taking the case where the test data includes evaluation data of a dental cast, see FIG. 8 , which includes steps 81 and 82 .

[0091] In step 81, the remaining area of ​​the attachments on the labial and buccal surfaces of the teeth of the dental model is obtained.

[0092] It is understandable that the method for obtaining the remaining area in step 81 is the same as the method for obtaining the remaining area in step 62, which will not be described in detail. In this example, the attachment on the labial and buccal surfaces of the teeth can be implemented as a first attachment.

[0093] In step 82, the evaluation score of each tooth is determined based on the remaining area and a preset area threshold.

[0094] In this step, the test system stores a preset area threshold, such as 1 / 5, 1 / 3, 2 / 3 or 1, etc., which can be set according to the specific division type. The corresponding relationship between the remaining area and the preset area threshold is shown in Table 1. Table 1

[0095] The dental diseases in Table 1 include but are not limited to caries, periodontal disease and tooth pigmentation, which can be set according to specific scenarios.

[0096] Using the correspondence shown in Table 1, after obtaining an image of the labial and buccal surfaces of the dental model 200, image processing techniques can be used to perform feature analysis on the image to determine the plaque area. The corresponding residual area can then be determined using the correspondence shown in Table 1. After obtaining the residual area, each tooth can be evaluated using the correspondence to obtain a score.

[0097] In step 83, evaluation data of the dental cast is determined according to the evaluation score of each tooth.

[0098] In this step, the average value of the evaluation scores of each tooth can be obtained as the evaluation data of the dental cast.

[0099] In some examples, at least three dental casts can be cleaned, and after obtaining the evaluation scores for each tooth, the evaluation scores for each tooth in the dental cast can be averaged to obtain a first average value. Then, the average of the first average values ​​corresponding to the at least three dental casts can be averaged to obtain a second average value, and the second average value can be used as the evaluation data for the dental cast. Testing multiple dental casts can improve test accuracy.

[0100] In one example, taking the case where the test data includes the fit data of the toothbrush being tested, see FIG. 9 , which includes steps 91 and 92 .

[0101] In step 91, the contact area between the brush head of the toothbrush being tested and the labial and buccal surfaces of each tooth in the dental model is obtained.

[0102] In this step, when the toothbrush to be tested is placed on the labial and buccal surfaces of the teeth, the surface of the brush head comes into contact with the surface of the teeth.

[0103] In one example, the image acquisition device can be placed on one side of the toothbrush and dental model being tested, thereby capturing the image shown in FIG10A .

[0104] It is understandable that when the toothbrush to be tested is placed on the labial and buccal surfaces of each tooth, an image can be taken, and the brush head 101 contacts the labial and buccal surfaces of one of the teeth 102 in the dental mold, and the length of the contact area between the two is d. Then, the contact area between the labial and buccal surfaces of the teeth and the toothbrush to be tested is calculated based on the above image. For example, the length d of the contact area between the toothbrush to be tested and the labial and buccal surfaces of the teeth can be calculated, such as by calculating the length of the contact area by counting the number of pixels in the contact area. When the width of the brush head of the toothbrush to be tested 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 brush head of the toothbrush to be tested is the same as that of the labial and buccal surfaces of the teeth, so the area of ​​the contact area can be calculated after obtaining the length of the contact area.

[0105] In step 92, the fit data of the toothbrush under test is obtained based on the contact area corresponding to each tooth and the area of ​​the brush head.

[0106] In this step, the fit of the toothbrush being tested can be determined based on the contact area corresponding to each tooth and the area of ​​the brush head. For example, the average area of ​​the dental cast can be obtained based on the contact area corresponding to each tooth in the dental cast. The ratio of this average area to the area of ​​the brush head can then be calculated and used as the fit of the toothbrush being tested.

[0107] In this step, by obtaining the fit of the toothbrush being tested, it can be determined whether the brush head of the toothbrush being tested is suitable for the actual usage scenario, which is helpful to assist in designing a brush head configuration suitable for the usage scenario.

[0108] In one example, the image acquisition device can be placed on one side of the toothbrush and dental mold being tested, so as to capture an image as shown in Figure 10B, in which the tooth 102 is in contact with the gum 103 and the brush head 101, and 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 fit of the toothbrush being tested.

[0109] In another example, the fit degree corresponding to FIG. 10A and the fit degree corresponding to FIG. 10B may be weighted, and the final result may be used as the fit degree of the toothbrush being tested.

[0110] It should be noted that those skilled in the art can select a method for calculating the degree of fit according to specific scenarios, and the corresponding solutions fall within the scope of this disclosure.

[0111] In one example, taking the case where the test data includes cleaning time data of each tooth in a dental mold, refer to FIG. 11 , which includes steps 111 to 114 .

[0112] In step 111, the total time the tested toothbrush cleans the dental mold is obtained.

[0113] In this step, the total time T0 of the toothbrush under test cleaning the dental mold can be obtained, which reflects the cleaning time of the labial and buccal surfaces of each tooth during the cleaning process. Here, the total time T0 of the cleaning process is also the aforementioned preset time.

[0114] In step 112, the number of surfaces of the teeth to be cleaned in the dental cast is obtained as a first number.

[0115] In this step, as shown in FIG2 , each tooth includes multiple cleaning surfaces. For example, molars include three cleaning surfaces, namely the labial (cheek) side M1, the lingual (jaw) side M2, and the occlusal surface M3. The remaining teeth include the labial (cheek) side M1 and the lingual (jaw) side M2, but do not include 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 (jaw) sides, 28 labial (cheek) sides, and 16 occlusal surfaces. The number of surfaces to be cleaned of the teeth refers to the sum of the number of cleaning surfaces of all the teeth that need to be cleaned. For example, when all 28 teeth on the dental mold are cleaned, the number of surfaces to be cleaned of the teeth is: 28+28+16=72, that is, the first number K1 is equal to 72.

[0116] In step 113, the number of tooth surfaces simultaneously covered by the brush filaments of the toothbrush under test is obtained as a second number.

[0117] During the toothbrushing process, the brush head of a toothbrush can often cover multiple cleaning surfaces at the same time. Therefore, the cleaning time for each cleaning surface needs to be combined with the number of teeth simultaneously covered by the bristles of the tested toothbrush, that is, the second number K2.

[0118] In step 114 , the time for cleaning the labial and buccal surfaces of each tooth in the dental model is determined according to the total time, the first number, and the second number, as the cleaning time data.

[0119] In this step, the cleaning time data for cleaning the labial and buccal surfaces of each tooth in the dental model can be determined based on the total time, the first number, and the second number. That is, the cleaning time for each tooth is: T = T0 / K1 * K2. For example, if the total cleaning time T0 = 2 minutes = 2 * 60 seconds = 120 seconds, the number of tooth surfaces to be cleaned is K1 = 72, and the number of teeth that can be simultaneously covered by the toothbrush being tested is the second number K2 = 3, then the cleaning time data T = 120 / 72 * 3 = 5 seconds.

[0120] In this way, the dental model test data can be obtained in this step.

[0121] In step 53, the lip and cheek cleaning index of the toothbrush under test is determined based on the test data. The lip and cheek cleaning index is used to indicate the degree of cleaning of the lip and cheek by the toothbrush under test.

[0122] In this step, the lip and cheek cleaning index of the toothbrush under test is determined according to the test data, as shown in FIG12 , including steps 121 and 122 .

[0123] In step 121, the initial lip and cheek cleaning index of the tested toothbrush is obtained according to the test data corresponding to each dental mold.

[0124] In this step, the initial lip and cheek cleaning index of the toothbrush under test can be obtained according to the test data corresponding to each tooth mold, as shown in formula (1). y(M)=f(K,Z,Y,T) (1)

[0125] In formula (1), f() represents the fusion function, which is used to fuse the attachment ratio data K, evaluation data Z, cleaning time data T and fit data Y, and M represents the lip and cheek cleaning index.

[0126] In one example, the weight values ​​corresponding to each data item in the test data can be obtained; each data item includes attachment ratio data, evaluation data, cleaning time data, and fit data; then, the product of each data item and its corresponding weight value is obtained to obtain weighted data; then, the cumulative value of the weighted data item corresponding to each data item is obtained, and the cumulative value is used as the initial lip and cheek cleaning index corresponding to the dental model, as shown in formula (2). y(M)=αK+βZ+ωY+θT (2)

[0127] 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 fit data Y, and θ represents the weight value of the cleaning time data T. In the embodiments of the present disclosure, there is no limitation on the specific values ​​of α, β, ω, and θ. Those skilled in the art can select corresponding coefficient values ​​according to specific application scenarios, and this disclosure will not elaborate on this.

[0128] In step 122, the average value of the lip and cheek cleaning index corresponding to the at least one dental mold is obtained to obtain the lip and cheek cleaning index of the tested toothbrush.

[0129] In one example, when there is only one dental model, the initial lip and cheek cleaning index of the dental model can be used as the lip and cheek cleaning index of the toothbrush being tested.

[0130] In another example, when there are multiple dental models, the average value of the initial lip and cheek cleaning indexes of the multiple dental models can be used as the lip and cheek cleaning index of the toothbrush being tested. For example, the lip and cheek cleaning index of the three dental models y(M) = {y(M1)+y(M2)+y(M3)} / 3, thereby avoiding the error caused by a single dental model.

[0131] At this point, the test method provided by the embodiment of the present disclosure can first control the brush head of the toothbrush under test to clean the lip and cheek surfaces of the teeth in at least one dental mold for a preset time, where the lip and cheek surfaces of the teeth are coated with test attachments; the lip and cheek surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; then, the test data of the dental mold is obtained; thereafter, the lip and cheek cleaning index of the toothbrush under test is determined based on the test data, and the lip and cheek cleaning index is used to indicate the degree of cleanliness of the lip and cheek surfaces cleaned by the toothbrush under test. In this way, this embodiment objectively describes the degree of cleanliness of the lip and cheek surfaces of the teeth cleaned by the toothbrush under test through the lip and cheek cleaning index of the toothbrush under test, which is beneficial to assist in improving the brush head of the toothbrush under test during the design process and the evaluation of the cleaning ability of different toothbrushes under test in the market, thereby improving the user experience.

[0132] On the basis of a testing method provided in an embodiment of the present disclosure, an embodiment of the present disclosure further provides a testing device, see Figure 13, the device includes: a cleaning control module 131, used to control the brush head of the toothbrush under test to clean the labial and cheek surfaces of at least one tooth in a dental mold for a preset time, the labial and cheek surfaces of the teeth being coated with test attachments; the labial and cheek surfaces refer to the tooth surfaces close to the lips and cheeks after the teeth are closed; a data acquisition module 132, used to obtain test data of the dental mold; a designation determination module 133, used to determine the labial and cheek cleaning index of the toothbrush under test based on the test data, the labial and cheek cleaning index being used to indicate the degree of cleanliness of the labial and cheek surfaces by the toothbrush under test.

[0133] It should be noted that the system shown in this embodiment matches the contents of the method embodiment. You can refer to the contents of the above method embodiment and will not repeat them here.

[0134] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This disclosure is intended to cover any variations, uses, or adaptations that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0135] 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 can 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 method, comprising: 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, 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; Obtaining the test data of the dental model; 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 model includes at least one of the following: The attachment proportion data of the dental model, wherein the attachment proportion data refers to the change in attachments in the images of the dental model before and after cleaning; The evaluation data of the dental model, wherein the evaluation data refers to the evaluation score of the attachments on the labial and buccal surfaces of the teeth of the dental model by the tester; The fitting degree data of the toothbrush under test, wherein 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 model; The cleaning time data of each tooth in the dental model, wherein 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 proportion data of the dental model 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 model before cleaning; Obtaining the remaining area of the attachments on the labial and buccal surfaces of the teeth of the dental model after cleaning; Obtaining the ratio of the remaining area to the initial area as the attachment proportion data of the dental model.

4. The method according to claim 2, wherein, The attachment proportion data of the dental model 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 proportion data of the attachments on the dental model 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 proportion data of the attachments on the dental model before and after cleaning; Obtaining the weighted cumulative value of the first proportion data and the second proportion data to obtain the attachment proportion data.

5. The method according to claim 4, wherein, The first proportion data of the first attachments on the dental model 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 model 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 model 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 proportion data of the dental model.

6. The method according to claim 4, wherein The second proportion data of the attachments on the dental model 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 model 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 model 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 proportion data of the dental model.

7. The method according to claim 5 or 6, wherein, Obtaining the initial area of the attachments on the labial and buccal surfaces of the teeth of the dental model 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 in 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, wherein, 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, wherein 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 tested toothbrush, including: Obtain the contact area between the brush head of the tested toothbrush and the labial and buccal surfaces of each tooth in the dental mold; Obtain the fitting degree data of the tested 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 tested 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 tested 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 tested toothbrush to clean the dental mold; Obtain the number of tooth surfaces to be cleaned of the dental mold as a first number; Obtain the number of tooth surfaces simultaneously covered by the bristles of the tested 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 tested toothbrush according to the test data, including: Obtain the initial labial and buccal surface cleaning index of the tested toothbrush according to the test data corresponding to each dental mold; Obtain the average value of the labial and buccal surface cleaning indices corresponding to the at least one dental mold to get the labial and buccal surface cleaning index of the tested 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 test device, including: A cleaning control module for controlling 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 for acquiring the test data of the dental model; A specified determination module for determining 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, including: A processor and a memory; The memory is used to store the computer program executable by the processor; The processor is used 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, further comprising: A robotic arm, the robotic arm is electrically connected to the processor; the robotic arm is further used 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 used to capture an image of the dental model and send it to the processor when receiving the control signal of the processor.

Images