Tooth cleaning control method for a dental cleaner

Abstract

This invention provides a method for controlling the cleaning of a dental floss device. The dental floss device comprises an oral spray unit, a cleaning nozzle, a voice alarm module, and an ultrasonic scanner. The method includes the following steps: when the dental floss device receives an oral cleaning instruction, it enters a cleaning mode and executes a cleaning program; wherein, the oral cleaning instruction includes: a spray cleaning instruction and a rinse cleaning instruction; after the cleaning program is completed, a cleaning detection ultrasonic wave is emitted through the cleaning nozzle; the oral cavity is modeled in three dimensions using the detection ultrasonic wave to determine whether there is any residue in the oral cavity; wherein, if residue is present, the cleaning program is restarted and a re-cleaning alarm is triggered; when no residue is present, the dental floss device displays that cleaning is complete.

Description

Technical Field

[0001] This invention relates to the field of dental floss cleaning technology, and in particular to a method for controlling the cleaning of a dental floss device. Background Technology

[0002] Currently, commercially available dental flossers offer manual control. However, manual flossing requires the user to move their hand evenly up, down, left, and right to drive the toothbrush. During this movement, the limited space in the mouth restricts the speed at which the tooth surface can be cleaned. Therefore, manual cleaning is inefficient, and without monitoring, it often results in incomplete cleaning.

[0003] Furthermore, existing technologies also include oral sprays for oral cleaning. However, regardless of the method used, users can only judge by looking in the mirror, making it difficult for them to determine whether their mouths are clean.

[0004] Therefore, it is necessary to explore how to control dental flossers to achieve a supervised, self-monitoring cleaning method. Summary of the Invention

[0005] This invention provides a method for controlling the cleaning of teeth in a dental flosser, which solves the problem that teeth are not cleaned thoroughly during the cleaning process in the prior art.

[0006] This invention proposes a method for controlling the cleaning of a dental flosser, wherein the dental flosser comprises an oral spray device, a cleaning nozzle, a voice alarm module, and an ultrasonic scanner, characterized in that:

[0007] The method includes the following steps:

[0008] When the dental flosser receives an oral cleaning instruction, it enters cleaning mode and executes the cleaning program; among which,

[0009] Oral hygiene instructions include: spray cleaning instructions and rinse cleaning instructions;

[0010] Once the cleaning process is complete, ultrasonic cleaning detection waves are emitted through the cleaning nozzle.

[0011] By using ultrasound to create a three-dimensional model of the oral cavity, the presence of food debris can be determined; among other things...

[0012] If residue is present, restart the cleaning program and trigger a re-cleaning alarm;

[0013] When there is no residue left, the dental flosser indicates that cleaning is complete.

[0014] Preferably, the method further includes:

[0015] Pre-configure the switching scripts for the oral spray device and the teeth cleaning nozzle;

[0016] The rotation script controls the cleaning cycle of the oral spray device and the teeth cleaning nozzle respectively;

[0017] Based on the cleaning cycle, the expected operating parameters for the motors of the oral spray device and the teeth-cleaning nozzle are set; among them,

[0018] The expected operating parameters of the motor include: start-stop conditions, start interval, and rotation interval;

[0019] Based on the motor's operating parameters, the oral cleaning commands are switched, and the motor is controlled to alternately drive the oral spray device and the teeth-cleaning nozzle; among them,

[0020] When the motors are driven alternately, the actual operating parameters of the motors are collected, and it is determined whether the actual operating parameters are the same as the expected operating parameters, and the determination result is obtained; among them,

[0021] When the judgment results are different, the operation fault is reported through the voice alarm module.

[0022] Preferably, the method further includes:

[0023] When a spray cleaning instruction is received;

[0024] Start the oral spray device and obtain the real-time spray pressure and real-time water flow rate of the oral spray device;

[0025] Based on the real-time spray pressure, a pressure closed-loop control with compensation is used to adjust the real-time flow rate of the spray nozzle until the error between the current pressure of the spray nozzle and the target pressure is less than a preset error.

[0026] The real-time flow rate of the spray nozzle is continuously adjusted using a real-time adaptive pressure-flow control method.

[0027] The real-time spray volume of the oral spray device is obtained, and a spray volume control method based on real-time spray volume feedback is adopted until the real-time water flow rate equals the real-time spray volume.

[0028] Preferably, the method further includes:

[0029] When a flushing / cleaning instruction is received;

[0030] Turn off the oral spray device and configure the cleaning nozzle to output a fixed amount of rinsing water;

[0031] Adjust the water pressure and spray time of the dental flosser nozzle according to the amount of water used for rinsing;

[0032] When the water spraying time ends, the teeth cleaning nozzle will automatically shut off.

[0033] Preferably, the method further includes:

[0034] The oral cavity cleaning process is divided into zones, and the zone identifiers are obtained; among them,

[0035] The regional divisions include: the teeth region, the tongue region, the salivary gland region, the inner cheek region, the soft and hard palate region, and the mucosa and muscle region.

[0036] Ultrasonic scanners are used to acquire ultrasonic wave detection signals for different regions marked by different regions.

[0037] Based on the ultrasonic detection signal, coordinate transformation is performed on the intraoral regions marked by different regions;

[0038] Based on the regional coordinate transformation, coordinate data for different regions of the user's oral cavity is generated.

[0039] Preferably, the three-dimensional modeling includes:

[0040] Based on the coordinate data of different regions of the patient's oral cavity, a simulated oral cavity is constructed, and an intelligent registration and fusion model is built using the principle of random sampling consistency algorithm.

[0041] The coordinate data of different regions of the user's oral cavity are obtained and converted into multiple point cloud datasets. These point cloud datasets are then used as input information for an intelligent registration and fusion model, which analyzes the data to obtain the output information.

[0042] The output information represents the user's oral cavity point cloud coordinates.

[0043] Extract the model parameter estimation results from the output information to generate a point cloud model of the user's oral cavity.

[0044] Preferably, determining whether there is residue in the oral cavity includes:

[0045] Point cloud models are used to obtain point cloud features corresponding to point cloud data from different regions of the user's oral cavity; among them...

[0046] The point cloud data for different regions of the user's oral cavity includes modeling data from the user's oral cavity;

[0047] Based on the point cloud features, determine the data representation corresponding to each modeling data;

[0048] Data representation includes depth anomaly data in at least one dimension of different regions of the user's oral cavity;

[0049] Confidence detection is performed on the point cloud features to obtain the confidence data corresponding to the abnormal data at each depth.

[0050] The confidence data is used to characterize the ratio of standard depth values ​​to abnormal depth values ​​in the corresponding region of the user's oral cavity;

[0051] Based on the confidence level data corresponding to each depth of abnormal data, it is determined whether there is food residue in the user's mouth.

[0052] Preferably, the method further includes:

[0053] Obtain the user's historical oral hygiene data to determine the user's oral hygiene angle and cleaning duration data;

[0054] Based on cleaning angle data, calculate the oral cleaning area coverage rate for users' oral cleaning.

[0055] Based on the cleaning time data, calculate the oral cavity area compliance rate of the user's oral cleaning;

[0056] Based on the coverage rate and compliance rate of oral cleaning areas, determine the user's oral cleaning habitual data;

[0057] Based on oral cleaning inertia data, the system identifies areas where the user's oral cleaning has been neglected and uses a voice alarm module to remind the user of the correct areas.

[0058] Preferably, the method further includes:

[0059] An initial sample set was constructed based on historical oral hygiene data; among which...

[0060] The initial sample includes user cleaning data for different areas;

[0061] The cleaning data includes positive sample data and negative sample data. Positive sample data represents oral cleaning data that meets the cleaning standards, while negative sample data represents oral cleaning data that does not meet the cleaning standards.

[0062] Feature extraction is performed on the clean data. Multiple feature maps are constructed using various feature attributes, and a feature extraction model is established using graph fusion.

[0063] Feature extraction models include positive sample feature extraction models and negative sample feature extraction models;

[0064] A bias calculation mechanism is established in the feature extraction model by using negative sample feature extraction models and positive sample feature extraction models;

[0065] Based on the deviation calculation mechanism, positive sample data is used as the baseline data and negative sample data is used as the data to be adjusted to determine the cleaning deviation term of negative sample data.

[0066] Based on the cleaning deviation items, identify the poorly cleaned areas in the user's oral cavity, and provide voice reminders for these areas during oral cleaning.

[0067] Preferably, the method further includes:

[0068] Acquire cleaning alarm information in real time and determine alarm requirements;

[0069] The alarm requirements are analyzed, alarm voice data is generated, and the alarm voice data is inserted into a preset mixed voice queue; among which...

[0070] The alarm voice data is determined by the current dental flosser's function, which establishes the priority of the preset mixed voice queue for the alarm voice data.

[0071] The corresponding voice text is determined from the preset mixed voice queue, and a voice alarm is triggered through the voice alarm module.

[0072] The beneficial effects of this invention are as follows:

[0073] This invention provides a comprehensive cleaning of the patient's oral cavity. Compared to existing dental floss devices, this invention goes beyond simply controlling the device for oral cleaning. It not only cleans the user's mouth but also performs oral cavity checks during cleaning to determine the presence of food debris and the thoroughness of the cleaning, thus achieving a comprehensive oral cleaning based on the dental floss device.

[0074] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0075] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0076] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0077] Figure 1 This is a flowchart of a teeth cleaning control method for a teeth cleaning device according to an embodiment of the present invention;

[0078] Figure 2 This is an external view of the dental flosser in an embodiment of the present invention;

[0079] Figure 3 This is an exploded view of the dental flosser in an embodiment of the present invention. Detailed Implementation

[0080] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0081] During the process of cleaning teeth with a dental flosser, we often find that the flosser may have limited cleaning ability and may not be able to completely clean the inside of the mouth. The dental flosser of this invention is the same in appearance as the dental flossers currently on the market, as shown in the attached figure. Figure 2 As shown, teeth cleaning can be achieved through both spraying and water spraying via the nozzle. The specific structure of the teeth cleaning device of this invention is shown in the attached figure. Figure 3 As shown, the ultrasonic scanner and oral spray device are integrated inside the nozzle tube wall, and a water tank and a motor device in the middle are set at the bottom to deliver water from the water tank to the nozzle.

[0082] The oral irrigator control method proposed in this invention comprises an oral spray device, a cleaning nozzle, a voice alarm module, and an ultrasonic scanner; the specific control steps of the oral irrigator are as follows:

[0083] When the dental flosser receives an oral cleaning instruction, it enters cleaning mode and executes the cleaning program; among which,

[0084] Oral hygiene instructions include: spray cleaning instructions and rinse cleaning instructions;

[0085] The instructions received by the dental flosser are either pressed via buttons or given via voice input after the flosser is started.

[0086] Once the cleaning procedure is complete, ultrasonic waves that detect the cleaning process are emitted from the dental flosser.

[0087] An ultrasonic scanner is installed on the nozzle of the dental flosser to emit ultrasonic waves after the nozzle is in the user's mouth, enabling ultrasonic detection.

[0088] By using ultrasound to create a three-dimensional model of the oral cavity, the presence of food debris can be determined; among other things...

[0089] When residue is present, the cleaning program is restarted and a re-cleaning alarm is triggered. The re-cleaning instruction is displayed on the dental flosser's screen and can also be announced via voice.

[0090] When there is no residue left, the dental flosser will indicate that cleaning is complete. The completion of cleaning is displayed on the monitor or announced via voice.

[0091] The detection principle after 3D modeling is that, after 3D modeling, there will be ultrasonic signals inside the oral cavity, which can detect foreign objects and retrograde motion within the mouth.

[0092] The principle of the above technical solution is as follows: (see attached) Figure 1 As shown, this invention is a control method for a dental flosser, and the dental flosser of this invention is as shown in the attached figure. Figure 2 As shown, the appearance of the dental flosser is similar to that of dental flossers in the prior art. However, in addition to the oral spray device and the teeth cleaning nozzle, the dental flosser of the present invention also has a voice alarm module and an ultrasonic scanner installed inside the device to realize the intelligent control method of the present invention.

[0093] During this process, the dental flosser receives an instruction, which can be either a spray cleaning instruction or a water rinsing cleaning instruction, and then activates the flosser to perform the cleaning. There are two methods of dental flossing: spray cleaning and water rinsing.

[0094] During oral spraying or rinsing, this invention can emit ultrasonic waves to detect the cleaned oral cavity and generate a 3D model of the mouth. Based on point cloud computing, this invention can determine whether there is residue inside the mouth. When detecting residue, because the 3D model completes the oral cavity environment, the point cloud depth varies depending on whether there is residue in the teeth or between the teeth. This point cloud depth allows for the determination of residue presence; for example, areas with food residue have a higher point cloud depth, while areas without residue have a lower point cloud depth, thus quickly locating areas where residue may be present. If residue is found, the dental flosser is restarted for further oral cleaning.

[0095] The beneficial effects of the above technical solution are as follows:

[0096] This invention provides a comprehensive cleaning of the patient's oral cavity. Compared to existing dental floss devices, this invention goes beyond simply controlling the device for oral cleaning. It not only cleans the user's mouth but also performs oral cavity checks during cleaning to determine the presence of food debris and the thoroughness of the cleaning, thus achieving a comprehensive oral cleaning based on the dental floss device.

[0097] Preferably, the method further includes:

[0098] A pre-configured rotation script for the oral spray device and teeth cleaning nozzle; the rotation script is a built-in rotation program used to control different motor speeds when performing spraying and water spraying.

[0099] The oral spray device and the teeth cleaning nozzle are controlled by a rotation script to alternate cleaning cycles; the rotation cycle is the different times for spraying and water spraying.

[0100] Based on the cleaning cycle, the expected operating parameters for the motors of the oral spray device and the teeth-cleaning nozzle are set; among them,

[0101] The expected operating parameters of the motor include: motor start-stop parameters, motor rotation parameters during spraying, and motor rotation parameters during water flow;

[0102] By setting the expected operating parameters of the motor, the start and stop of the motor, as well as the corresponding changes in rotation parameters, can be directly controlled by specific commands during spraying and water spraying.

[0103] Based on the motor's operating parameters, the oral cleaning commands are switched, and the motor is controlled to alternately drive the oral spray device and the teeth-cleaning nozzle; among them,

[0104] During motor switching, the main control MCU collects the actual operating parameters of the motors and determines whether the actual operating parameters are the same as the expected operating parameters, obtaining the determination result; among which,

[0105] When the judgment results are different, the operation fault is reported through the voice alarm module.

[0106] The main control MCU of this invention will collect the voltage, current and speed of the motor when it is running, and determine whether the actual operating parameters are the same as the expected parameters, thereby determining whether the motor of the dental flosser is aging, functionally degraded or malfunctioning.

[0107] The principle of the above technical solution is as follows: This invention cleans the oral cavity using both spraying and rinsing methods, which are continuously alternated. During this alternation, the expected parameters for motor operation are set to achieve faster switching. The alternation of spraying and rinsing ensures cleaning efficiency while simultaneously allowing for the monitoring of the motor equipment.

[0108] The beneficial effects of the above technical solution are as follows: the present invention can realize the alternating control of spray cleaning, thereby improving the oral cleaning effect, and can also determine whether the motor has degraded or whether the motor is faulty by the motor's operating parameters.

[0109] Preferably, the method further includes:

[0110] When a spray cleaning instruction is received;

[0111] Start the oral spray device and obtain the real-time spray pressure and real-time water flow rate of the oral spray device;

[0112] Based on the real-time spray pressure, a pressure closed-loop control with compensation is used to adjust the real-time flow rate of the oral spray nozzle until the error between the real-time pressure of the oral spray nozzle and the expected target pressure is less than a preset error; wherein,

[0113] When errors occur, the real-time flow rate of the oral spray device nozzle is adjusted through real-time adaptive water pressure and flow control.

[0114] It also obtains the real-time atomization volume of the oral spray device and adjusts it based on the feedback of the real-time atomization volume until the real-time atomization volume equals the real-time flow rate of the oral spray device nozzle.

[0115] The principle of the above technical solution lies in the fact that, during the spraying process, the amount and pressure of the spray need to be constantly controlled to create a finer mist-like water flow that achieves the desired spray effect. Therefore, both pressure and water volume need to be monitored. Furthermore, in existing technologies, when water is dispensed from the water tank of a dental flosser, some water remains in the pipes and does not return to the tank. If the device is not used for a long time, this water may become contaminated with bacteria. To address these issues…

[0116] This invention employs a pressure closed-loop control with compensation. Based on the pressure closed loop, under the applied pressure, the real-time water flow from the water tank of the dental flosser to the nozzle of the oral spray device must be the same as the water flow from the water tank. In order to ensure accurate flow control, the real-time pressure of the nozzle of the oral spray device must be the same as or close to the expected set pressure.

[0117] However, pressure control can be inaccurate. To minimize this error, the water volume atomized by the nebulizer in the waist pack should be equal to the real-time water flow rate from the water tank to the nozzle of the oral spray device. The real-time flow rate of the nozzle of the oral spray device is the real-time flow rate supplied by the water tank.

[0118] The beneficial effects of the above technical solution are as follows: the present invention can ensure that the water output of the water tank of the dental flosser and the atomization volume of the oral spray device are the same, ensuring the accuracy of water output, and also preventing bacteria from growing in the water pipe between the water tank and the atomizing nozzle of the oral spray device.

[0119] Preferably, the method further includes:

[0120] When a flushing / cleaning instruction is received;

[0121] Turn off the oral spray device and configure the cleaning nozzle to output a fixed amount of rinsing water;

[0122] Adjust the water pressure and spray time of the dental flosser nozzle according to the amount of water used for rinsing;

[0123] When the water spraying time ends, the teeth cleaning nozzle will automatically shut off.

[0124] The principle behind the above technical solution is as follows: When the present invention receives a rinsing command, because the required water flow is large and rapid, the spraying time and pressure will be adjusted to prevent the water in the dental flosser from running out. Pressure adjustment also helps to conserve water.

[0125] Preferably, the method further includes:

[0126] The oral cavity cleaning process is divided into zones, and the zone identifiers are obtained; among them,

[0127] The regional divisions include: the teeth region, the tongue region, the salivary gland region, the inner cheek region, the soft and hard palate region, and the mucosa and muscle region.

[0128] Ultrasonic scanners are used to acquire ultrasonic wave detection signals for different regions marked by different regions.

[0129] Based on the ultrasonic detection signal, coordinate transformation is performed on the intraoral regions marked by different regions;

[0130] Based on the regional coordinate transformation, coordinate data for different regions of the user's oral cavity is generated.

[0131] The principle of the above technical solution is as follows: The present invention divides the patient's oral cavity into multiple regions: "teeth region, tongue region, salivary gland region, inner cheek region, soft and hard palate region and mucosa and muscle region". After being divided into multiple regions, each region has a corresponding coordinate region. During ultrasonic scanning, it is also possible to perform cleaning detection of different parts of the oral cavity more quickly.

[0132] The beneficial effects of the above technical solution are as follows:

[0133] By using coordinate data, when assessing oral hygiene, the system can quickly announce the locations of food debris via voice, thus reminding users of the areas of their mouths that need cleaning.

[0134] Preferably, the three-dimensional modeling includes:

[0135] Based on the coordinate data of different regions of the patient's oral cavity, a simulated oral cavity is constructed, and an intelligent registration and fusion model is built using the principle of random sampling consistency algorithm.

[0136] The coordinate data of different regions of the user's oral cavity are obtained and converted into multiple point cloud datasets. These point cloud datasets are then used as input information for an intelligent registration and fusion model, which analyzes the data to obtain the output information.

[0137] The output information represents the user's oral cavity point cloud coordinates.

[0138] Extract the model parameter estimation results from the output information to generate a point cloud model of the user's oral cavity.

[0139] The principle of the above technical solution is as follows: This invention performs three-dimensional transformation within the oral cavity and performs oral cavity cleaning detection through three-dimensional simulation of the oral cavity. In this process, this invention adopts a random sampling consistency algorithm combined with a point cloud algorithm to achieve intelligent registration and intelligent detection, thereby enabling rapid oral cavity cleaning detection for patients.

[0140] In this process, the intelligent registration and fusion model is a coordinate point registration model inside the oral cavity. Each registered coordinate point is a point cloud coordinate, which can then divide different regions of the user's oral cavity into corresponding point cloud datasets.

[0141] Then, by using the point cloud dataset, the model parameters of the user's oral cavity are determined, thereby generating a point cloud model of the user's oral cavity, and the cleaning detection of the user's oral cavity is carried out by using the point cloud model.

[0142] The beneficial effects of the above technical solution are as follows:

[0143] This invention can generate a point cloud model. When cleaning a user's mouth using the point cloud model, it can determine whether there is residue in the user's mouth based on the point cloud depth. The greater the point cloud depth, the more residue is present.

[0144] Preferably, determining whether there is residue in the oral cavity includes:

[0145] Point cloud models are used to obtain point cloud features corresponding to point cloud data from different regions of the user's oral cavity; among them...

[0146] The point cloud data for different regions of the user's oral cavity includes modeling data from the user's oral cavity;

[0147] Point cloud features are the point cloud contour features and contour point cloud depth features of different regions and locations inside the user's oral cavity. The point cloud depth features are stored and recorded every time oral cleaning is performed, so the user's oral cavity can be modeled during oral cleaning.

[0148] Based on the point cloud features, determine the data representation corresponding to each modeling data;

[0149] Data representation includes depth anomaly data in at least one dimension of different regions of the user's oral cavity;

[0150] At least one dimension, where the dimension represents the orientation dimension, and depth anomaly data indicates an anomaly in the depth value of the point cloud.

[0151] Confidence detection is performed on the point cloud features to obtain the confidence data corresponding to the abnormal data at each depth.

[0152] The confidence data is used to characterize the ratio of standard depth values ​​to abnormal depth values ​​in the corresponding region of the user's oral cavity;

[0153] By testing the confidence level, we can determine the depth difference in a user's oral cavity, thereby determining whether there is food residue in the user's oral cavity. The greater the depth difference, the more likely there is food residue.

[0154] Based on the confidence level data corresponding to the depth anomaly data of each dimension, it is determined whether there is food residue in the user's mouth.

[0155] During this process, the confidence level of depth anomalies in each dimension needs to be determined. The presence of depth anomalies in multiple dimensions simultaneously indicates the presence of food residue. Only when there are no depth anomalies in any dimension across different regions can it be considered that the oral cavity is properly cleaned.

[0156] The principle of the above technical solution is as follows: When performing oral debris detection, the present invention will detect the point cloud features of different areas of the oral cavity by modeling them. After modeling, there is a difference in point cloud depth between the debris in the same area and the real-time state of the area. By the point cloud depth, it can be determined whether there is debris in the patient's oral cavity. Areas with high depth values ​​have debris, while areas with low depth values ​​do not have debris.

[0157] When determining whether there is food residue inside a user's mouth, the following determination process can also be used:

[0158] First, during point cloud modeling, the oral cavity is divided into regions such as teeth, tongue, salivary glands, cheeks, hard and soft palate, and mucosa and muscle. Therefore, the point cloud features include the following set of point cloud features:

[0159] The point cloud set A of the tooth region is A = a1, a2, a3...a i

[0160] The point cloud set B of the tongue region is defined as b1, b2, b3...b j

[0161] The point cloud set of the salivary gland region is C = c1, c2, c3...c l

[0162] The point cloud set D = d1, d2, d3...d of the inner cheek region g

[0163] The point cloud set of the soft and hard palate regions is E = e1, e2, e3...e w

[0164] The point cloud set F = f1, f2, f3...f of the mucosa-muscular regionv

[0165] Where i, j, l, g, w, v are all positive integers; i∈n, j∈m, l∈L, g∈G, w∈W, v∈V; n represents the number of point cloud coordinates in the tooth region; m represents the number of point cloud coordinates in the tongue region; L represents the number of point cloud coordinates in the salivary gland region; G represents the number of point cloud coordinates in the cheek region; W represents the number of point cloud coordinates in the soft and hard palate regions; V represents the number of point cloud coordinates in the mucosa and muscle region.

[0166] By using point cloud feature sets, region models of different areas of the oral cavity are generated:

[0167]

[0168]

[0169]

[0170] KA represents the tooth model in the dental region of the oral cavity model; KB represents the tongue model in the dental region of the oral cavity model; KC represents the salivary gland model in the dental region of the oral cavity model; KD represents the cheek region model in the dental region of the oral cavity model; KE represents the soft and hard palate model in the dental region of the oral cavity model; KF represents the mucosa and muscle region model in the dental region of the oral cavity model; γ represents the azimuth angle of the previous point cloud coordinates and the next point cloud coordinates.

[0171] In the above regional model, the present invention uses e w *γ w The direction point of each point cloud coordinate is determined, and thus the outline model of the entire region is formed by countless directional guides in each region. Then, the depth model of the entire region is formed by the point cloud depth corresponding to each point cloud coordinate corresponding to θ.

[0172] Based on regional models of different areas of the oral cavity, a decision function is defined to determine the presence of debris:

[0173]

[0174] Where P(x) represents the residue determination model; x represents any one of the expected cleanliness models from KA, KB, KC, KD, KE, or KF; T rLet represent the r-th point cloud feature (i.e., point cloud coordinates) of the point cloud set of the tooth region / tongue region / salivary gland region / inner cheek region / soft and hard palate region / mucosal muscle region, T represent any region within the tooth region / tongue region / salivary gland region / inner cheek region / soft and hard palate region / mucosal muscle region, and r also represent any coordinate point within the corresponding region, r∈R, where R represents the total number of point cloud features in any region of the oral cavity; ε represents a constant; μ represents a pre-set kernel function parameter; x r This represents the actual model of the tooth region / tongue region / salivary gland region / inner cheek region / soft and hard palate region / mucosal muscle region under the r-th coordinate feature. ‖x r -x‖ represents the norm distance; when P(x)≥1, it indicates the presence of a residue, and when P(x)<1, it indicates the absence of a residue.

[0175] In the process of residue determination, this invention establishes an exponential function and performs determination based on support vectors, using ||x||. r -x‖ represents the norm distance, determining the distance between areas with and without residue, and then using -μ‖x r -x‖ 2 +ε can determine the magnitude of the distance, and finally, it is displayed on the coordinate graph in the form of a power function. If it is at the upper limit of the power function, it means that the point cloud depth in the point cloud feature of this region is higher than the expected point cloud depth, which means that there is residue. Otherwise, there is no residue.

[0176] Preferably, the method further includes:

[0177] Obtain the user's historical oral hygiene data to determine the user's oral hygiene angle and cleaning duration data;

[0178] Based on cleaning angle data, calculate the oral cleaning area coverage rate for users' oral cleaning.

[0179] Based on the cleaning time data, calculate the oral cavity area compliance rate of the user's oral cleaning;

[0180] Based on the coverage rate and compliance rate of oral cleaning areas, determine the user's oral cleaning habitual data;

[0181] Based on oral cleaning inertia data, the system identifies areas where the user's oral cleaning has been neglected and uses a voice alarm module to remind the user of the correct areas.

[0182] The principle of the above technical solution is as follows: The dental flosser of the present invention records the user's previous oral cleaning data, determines the cleaning angle and cleaning time of different areas of the user's oral cavity. For example, the patient may control the angle of the dental flosser to clean the palate more or the molars more. By recording the angle of the dental flosser during the user's oral cleaning process, the system can determine which areas the user cleans more frequently in the three-dimensional point cloud oral cavity model. Then, it can calculate the coverage rate and the achievement rate of the user's oral cleaning area, determine the user's oral cleaning habits, and based on the cleaning habits, determine which areas of the oral cavity the user has not cleaned thoroughly, i.e., the missing areas of the user's oral cleaning, and then provide cleaning reminders for the corresponding areas.

[0183] The beneficial effects of the above technical solution are as follows:

[0184] The dental flosser of the present invention can determine which areas of the oral cavity are not thoroughly cleaned based on the user's oral cavity cleaning data, and thus remind the user to clean the areas that are not thoroughly cleaned.

[0185] Preferably, the method further includes:

[0186] An initial sample set was constructed based on historical oral hygiene data; among which...

[0187] The initial sample includes user cleaning data for different areas;

[0188] The cleaning data includes positive sample data and negative sample data. Positive sample data represents oral cleaning data that meets the cleaning standards, while negative sample data represents oral cleaning data that does not meet the cleaning standards.

[0189] Feature extraction is performed on the clean data. Multiple feature maps are constructed using various feature attributes, and a feature extraction model is established using graph fusion.

[0190] Feature extraction models include positive sample feature extraction models and negative sample feature extraction models;

[0191] A bias calculation mechanism is established in the feature extraction model by using negative sample feature extraction models and positive sample feature extraction models;

[0192] Based on the deviation calculation mechanism, positive sample data is used as the baseline data and negative sample data is used as the data to be adjusted to determine the cleaning deviation term of negative sample data.

[0193] Based on the cleaning deviation items, identify the poorly cleaned areas in the user's oral cavity, and provide voice reminders for these areas during oral cleaning.

[0194] The principle behind the above technical solution is as follows: The dental flosser of this invention can also be connected to the internet. Therefore, when reminding users of areas with poor oral hygiene, it utilizes big data technology. This technology generates data samples based on historical oral hygiene data. By comparing data that meets or does not meet the standards, feature extraction can be performed. The extracted features include the frequency of user cleaning different areas of the mouth and the control features of the dental flosser's angle during oral cleaning. The feature map contains a feature map of the frequency of user cleaning different areas of the mouth. The deviation mechanism is the cleaning deviation of the oral cleaning frequency, which allows it to determine which areas of the mouth the user cleans less frequently, and then provide voice reminders for these less frequently cleaned areas.

[0195] The beneficial effects of the above technical solution are as follows:

[0196] This invention can be based on a big data mechanism to build an oral hygiene model, determine which areas in the user's mouth are not cleaned completely, and thus remind the user.

[0197] Preferably, the method further includes:

[0198] Acquire cleaning alarm information in real time and determine alarm requirements;

[0199] That is, based on information about whether food debris is present during real-time oral cleaning, the system determines whether an alarm needs to be triggered and then generates alarm voice data. For example, voice data for cleaning the palate or the molars.

[0200] The alarm requirements are analyzed, alarm voice data is generated, and the alarm voice data is inserted into a preset mixed voice queue; among which...

[0201] The alarm voice data is determined by the current dental flosser's function, which establishes the priority of the preset mixed voice queue for the alarm voice data.

[0202] Priority refers to the pre-set priority between two different cleaning functions, such as spray cleaning and water spraying, and also the priority setting for cleaning different areas of the user's mouth based on the frequency of oral cleaning.

[0203] The corresponding voice text is determined from the preset mixed voice queue, and a voice alarm is triggered through the voice alarm module.

[0204] The principle of the above technical solution is as follows: This invention can use a voice alarm function. If there are two commands at the same time, namely insufficient oral cavity cleaning and residue in the oral cavity, the cleaning voice and reverse alarm for residue will be used first, followed by the alarm for insufficient cleaning. Therefore, through the voice queue, oral cavity cleaning can be faster and more reasonable.

[0205] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for controlling the cleaning of a dental flosser, characterized in that, The dental cleaning device consists of a main control MCU, an oral spray device, a teeth cleaning nozzle, a voice alarm module, and an ultrasonic scanner; The method includes the following steps: When the dental flosser receives an oral cleaning instruction, it enters cleaning mode and executes the cleaning program; among which, Oral hygiene instructions include: spray cleaning instructions and rinse cleaning instructions; Once the cleaning procedure is complete, ultrasonic waves that detect the cleaning process are emitted from the dental flosser. By using ultrasound to create a three-dimensional model of the oral cavity, the presence of food debris can be determined; among other things... If residue is present, restart the cleaning program and trigger a re-cleaning alarm; When there is no residue left, the dental flosser indicates that cleaning is complete; The method further includes: The oral cavity cleaning process is divided into zones, and the zone identifiers are obtained; among them, The regional divisions include: the teeth region, the tongue region, the salivary gland region, the inner cheek region, the soft and hard palate region, and the mucosa and muscle region. Ultrasonic scanners are used to acquire ultrasonic wave detection signals for different regions marked by different regions. Based on the ultrasonic detection signal, coordinate transformation is performed on the intraoral regions marked by different regions; Based on the regional coordinate transformation, coordinate data of different regions of the user's oral cavity is generated; The 3D modeling includes: Based on the coordinate data of different regions of the patient's oral cavity, a simulated oral cavity is constructed, and an intelligent registration and fusion model is built using the principle of random sampling consistency algorithm. The coordinate data of different regions of the user's oral cavity are obtained and converted into multiple point cloud datasets. These point cloud datasets are then used as input information for an intelligent registration and fusion model, which analyzes the data to obtain the output information. The output information represents the user's oral cavity point cloud coordinates. Extract the model parameter estimation results from the output information to generate a point cloud model of the user's oral cavity; The determination of whether there is residue in the oral cavity includes: Point cloud models are used to obtain point cloud features corresponding to point cloud data from different regions of the user's oral cavity; among them... The point cloud data for different regions of the user's oral cavity includes modeling data from the user's oral cavity; Based on the point cloud features, determine the data representation corresponding to each modeling data; Data representation includes depth anomaly data in at least one dimension of different regions of the user's oral cavity; Confidence detection is performed on the point cloud features to obtain the confidence data corresponding to the abnormal data at each depth. The confidence data is used to characterize the ratio of standard depth values ​​to abnormal depth values ​​in the corresponding region of the user's oral cavity; Based on the confidence data corresponding to the depth anomaly data of each dimension, it is determined whether there is food residue in the user's mouth; The method further includes: Obtain the user's historical oral hygiene data to determine the user's oral hygiene angle and cleaning duration data; Based on cleaning angle data, calculate the oral cleaning area coverage rate for users' oral cleaning. Based on the cleaning time data, calculate the oral cavity area compliance rate of the user's oral cleaning; Based on the coverage rate and compliance rate of oral cleaning areas, determine the user's oral cleaning habitual data; Based on oral cleaning inertia data, the system identifies areas where the user's oral cleaning has been neglected and uses a voice alarm module to remind the user of the correct areas.

2. The oral spray cleaning control method for a dental flosser as described in claim 1, characterized in that, The method further includes: Pre-configure the switching scripts for the oral spray device and the teeth cleaning nozzle; The rotation script controls the cleaning cycle of the oral spray device and the teeth cleaning nozzle respectively; Based on the cleaning cycle, the expected operating parameters for the motors of the oral spray device and the teeth-cleaning nozzle are set; among them, The expected operating parameters of the motor include: motor start-stop parameters, motor rotation parameters during spraying, and motor rotation parameters during water flow; Based on the motor's operating parameters, the oral cleaning commands are switched, and the motor is controlled to alternately drive the oral spray device and the teeth-cleaning nozzle; among them, During motor switching, the main control MCU collects the actual operating parameters of the motors and determines whether the actual operating parameters are the same as the expected operating parameters, obtaining the determination result; among which, When the judgment results are different, the operation fault is reported through the voice alarm module.

3. The oral spray cleaning control method for a dental flosser as described in claim 1, characterized in that, The method further includes: When a spray cleaning instruction is received; Start the oral spray device and obtain the real-time spray pressure and real-time water flow rate of the oral spray device; Based on the real-time spray pressure, a pressure closed-loop control with compensation is used to adjust the real-time flow rate of the oral spray nozzle until the error between the real-time pressure of the oral spray nozzle and the expected target pressure is less than a preset error; wherein, When errors occur, the real-time flow rate of the oral spray device nozzle is adjusted through real-time adaptive water pressure and flow control. It also obtains the real-time atomization volume of the oral spray device and adjusts it based on the feedback of the real-time atomization volume until the real-time atomization volume equals the real-time flow rate of the oral spray device nozzle.

4. The oral spray cleaning control method for a dental flosser as described in claim 1, characterized in that, The method further includes: When a flushing / cleaning instruction is received; Turn off the oral spray device and configure the cleaning nozzle to output a fixed amount of rinsing water; Adjust the water pressure and spray time of the dental flosser nozzle according to the amount of water used for rinsing; When the water spraying time ends, the teeth cleaning nozzle will automatically shut off.

5. The oral spray cleaning control method for a dental flosser as described in claim 1, characterized in that, The method further includes: An initial sample set was constructed based on historical oral hygiene data; among which... The initial sample includes user cleaning data for different areas; The cleaning data includes positive sample data and negative sample data. Positive sample data represents oral cleaning data that meets the cleaning standards, while negative sample data represents oral cleaning data that does not meet the cleaning standards. Feature extraction is performed on the clean data. Multiple feature maps are constructed using various feature attributes, and a feature extraction model is established using graph fusion. Feature extraction models include positive sample feature extraction models and negative sample feature extraction models; A bias calculation mechanism is established in the feature extraction model by using negative sample feature extraction models and positive sample feature extraction models; Based on the deviation calculation mechanism, positive sample data is used as the baseline data and negative sample data is used as the data to be adjusted to determine the cleaning deviation term of negative sample data. Based on the cleaning deviation items, identify the poorly cleaned areas in the user's oral cavity, and provide voice reminders for these areas during oral cleaning.

6. The oral spray cleaning control method for a dental flosser as described in claim 1, characterized in that, The method further includes: Acquire cleaning alarm information in real time and determine alarm requirements; The alarm requirements are analyzed, alarm voice data is generated, and the alarm voice data is inserted into a preset mixed voice queue; among which... The alarm voice data is determined by the current dental flosser's function, which establishes the priority of the preset mixed voice queue for the alarm voice data. The corresponding voice text is determined from the preset mixed voice queue, and a voice alarm is triggered through the voice alarm module.

Images