Human breath treatment system, method and device

Abstract

The present invention relates to the field of breath detection technology, and specifically discloses a human breath treatment system, method and device, the system comprising: an oral hygiene quality assessment module, an oral cleaning light dose adaptation module, an oral cleaning feedback adjustment module and an oral hygiene database. The present invention establishes a relationship between oral data and the control of a low-power red light emitting device, constructs a real-time feedback control system, and is capable of continuously receiving data on changes in the oral environment to ensure the rational and effective use of phototherapy energy, while improving the performance of the low-power red light emitting device and ensuring the safety of the operation of the low-power red light emitting device. This intelligent adjustment mechanism enables the phototherapy dose to be dynamically adjusted to meet the needs of different oral environments, thereby optimizing the performance of the device, improving the working efficiency of the device, avoiding waste of resources, and realizing personalized and scientific adjustment and control of the low-power red light emitting device.

Description

Technical Field

[0001] The present invention relates to the technical field of breath detection, and in particular to a human breath processing system, method and device. Background Art

[0002] Human breath refers to the odor emitted from the mouth or other upper respiratory tract. It is not only related to personal health, but also directly affects social interaction and mental health. The production of bad breath is often related to an imbalance of oral microorganisms, bad eating habits, systemic diseases or poor oral hygiene. Therefore, treating human breath is crucial to timely detect potential health problems.

[0003] For example, the invention patent with the announcement number CN114578036B is a clinical breath detection device with a self-cleaning function, which is composed of a housing, a sensor module, a single-chip microcomputer, a pressure medium generating device, a rotating shaft, a sensor module, a pump body, a telescopic part, an adjusting rod, a spray bottle and other components. The housing included in the application is provided with a rotating shaft, and the circumferential side wall of the rotating shaft is provided with a first telescopic part, a second telescopic part and a pressure medium generating device in sequence, and the pressure medium generating device is used to inject pressure medium into the first telescopic part and the second telescopic part; a connector is provided on the movable end of the first telescopic part, and the connector is used to connect the first telescopic part with the air blowing pipe; the movable end of the second telescopic part is connected to the sensor module. The present invention can connect the first telescopic part with the air blowing pipe by using the provided connector, so that the gas introduced into the first telescopic part is transferred to the air blowing pipe, and the impurities in the air blowing pipe are cleaned up, thereby realizing the self-cleaning function.

[0004] Based on the above scheme, it was found that there are still some shortcomings in the current treatment of bad breath. Specifically, the current treatment of bad breath is limited to traditional oral cleaning methods, and the treatment process is too rigid. Since the oral environment is too complex and there are differences in the oral environment between different individuals, the standardized treatment process in the traditional cleaning method is difficult to meet specific oral problems, which inhibits the effectiveness of treating bad breath problems. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a human breath processing system, method and device, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a human breath treatment system, including: an oral hygiene quality assessment module, which is used for a micro-control processor to receive oral hygiene data, and process the oral hygiene data to obtain an initial indication coefficient of the oral data, wherein the oral hygiene data includes the oral hydrogen sulfide concentration and the concentration of various oral bacteria.

[0007] The oral cleaning light dose adaptation module is used to match the initial indication coefficient of oral data with the cleaning light dose corresponding to each initial indication coefficient interval of oral data stored in the oral hygiene database to obtain the required oral cleaning light dose, and extract the initial luminous power and initial luminous time corresponding to the required oral cleaning light dose from the oral hygiene database.

[0008] The oral cleaning feedback adjustment module is used to adjust the working state of the low-power red light emitting device according to the initial luminous power and the initial luminous time, receive the oral environment signal data sensed by the breath sensor in real time, analyze and obtain the oral environment signal data abnormality evaluation index at each monitoring time point, and obtain the phototherapy feedback adjustment reference value at each monitoring time point through comprehensive analysis based on the oral environment signal data abnormality evaluation index and the oral data real-time indication coefficient at each monitoring time point, and perform feedback adjustment on the low-power red light emitting device based on the phototherapy feedback adjustment reference value at each monitoring time point.

[0009] As a further method, the processing obtains the initial indication coefficient of oral data. The specific processing process is: obtaining the oral hydrogen sulfide concentration and the concentration of various oral bacteria, extracting the required light dose influence weight coefficient of various oral bacteria, the critical concentration of oral bacteria and the critical oral hydrogen sulfide concentration from the oral hygiene database, and comprehensively analyzing to obtain the initial indication coefficient of oral data.

[0010] As a further method, the oral environment signal data sensed by the breath sensor is received in real time, and the oral environment signal data at each monitoring time point is analyzed to obtain an abnormal evaluation index. The specific analysis process is: deploying several monitoring time points, collecting the oral environment signal data at each monitoring time point, and the oral environment signal data includes oral tissue temperature, oral surface image data and oral humidity.

[0011] According to the different temperature tolerance of different oral tissues, the oral tissues are divided into regions, the temperature of the oral tissues in each region at each monitoring time point is collected, and the tolerance temperature threshold of the oral tissues in each region is obtained from the oral hygiene database.

[0012] The oral surface images at each monitoring time point were extracted, and the oral surface images at each monitoring time point were overlapped and compared with the initial oral surface images stored in the oral hygiene database, and the coefficient of variation of the oral surface images at each monitoring time point was obtained by analysis. The coefficient of variation of the oral surface images was used to quantitatively evaluate the degree of change of the oral surface images.

[0013] The critical oral humidity and critical oral surface image variation coefficient were extracted from the oral hygiene database, and the oral environmental signal data abnormality assessment index at each monitoring time point was obtained through comprehensive analysis.

[0014] As a further method, the comprehensive analysis obtains the phototherapy feedback adjustment reference value at each monitoring time point. The specific analysis process is: collecting oral hygiene data at each monitoring time point, analyzing to obtain the real-time indication coefficient of oral data at each monitoring time point, and the real-time indication coefficient of oral data is used to quantify oral data related to oral hygiene quality.

[0015] According to the oral environment signal data abnormality assessment index and the oral data real-time indication coefficient at each monitoring time point, a comprehensive analysis is performed to obtain the phototherapy feedback adjustment reference value at each monitoring time point. The phototherapy feedback adjustment reference value is a quantitative indicator obtained based on the analysis of the oral environment signal data abnormality assessment index and the oral data real-time indication coefficient, and is used to quantify the degree of required adjustment of the luminous power of a low-power red light emitting device.

[0016] As a further method, the low-power red light emitting device is feedback-adjusted according to the phototherapy feedback adjustment reference value at each monitoring time point. The specific process is: matching the phototherapy feedback adjustment reference value at each monitoring time point with the luminous power compensation value corresponding to each phototherapy feedback adjustment reference value interval stored in the oral hygiene database to obtain the luminous power compensation value at each monitoring time point.

[0017] The luminous power compensation value at the current monitoring time point is summed with the luminous power at the previous adjacent monitoring time point, and the sum result is marked as the luminous power at the current monitoring time point. The luminous power of the low-power red light emitting device is adjusted according to the luminous power at the current monitoring time point.

[0018] As a further method, the oral data initial indication coefficient is a quantitative index obtained by analyzing the oral hydrogen sulfide concentration and the concentration of various oral bacteria, and is used to quantify the oral data that characterizes the initial state of oral hygiene quality.

[0019] As a further method, the oral environment signal data abnormality assessment index at each monitoring time point is a quantitative indicator obtained by analyzing the oral environment signal data at each monitoring time point, and is used to quantitatively assess the degree of abnormality of the oral environment signal data at each monitoring time point during the use of the low-power red light emitting device.

[0020] As a further method, the initial indication coefficient of the oral data has a specific numerical expression as follows:

[0021]

[0022] In the formula, δ0 represents the initial index coefficient of oral data, C(H2S)0 represents the concentration of hydrogen sulfide in the oral cavity, and C(H2S) L represents the critical oral hydrogen sulfide concentration, C(XJ) r represents the concentration of oral bacteria of type r, C(XJ)L represents the critical concentration of oral bacteria, ω H represents the oral hygiene quality influencing factor corresponding to the set hydrogen sulfide concentration, ω r represents the weight coefficient of the required light dose of the rth type of oral bacteria, r represents the number of each type of oral bacteria, r=1,2,3,...,h, h represents the total number of oral bacteria types.

[0023] The second aspect of the present invention provides a method for treating human breath, comprising: a microcontroller receives oral hygiene data, and processes the oral hygiene data to obtain an initial indication coefficient of the oral data, wherein the oral hygiene data includes oral hydrogen sulfide concentration and various oral bacteria concentrations.

[0024] The initial indication coefficient of the oral data is matched with the cleaning light dose corresponding to each initial indication coefficient interval of the oral data stored in the oral hygiene database to obtain the required cleaning light dose for the oral cavity, and the initial luminous power and initial luminous time corresponding to the required cleaning light dose for the oral cavity are extracted from the oral hygiene database.

[0025] The working state of the low-power red light emitting device is adjusted according to the initial luminous power and the initial luminous time, the oral environment signal data sensed by the breath sensor is received in real time, and the oral environment signal data abnormality evaluation index at each monitoring time point is analyzed to obtain the oral environment signal data abnormality evaluation index at each monitoring time point and the oral data real-time indication coefficient. A comprehensive analysis is performed to obtain the phototherapy feedback adjustment reference value at each monitoring time point, and the low-power red light emitting device is feedback-adjusted according to the phototherapy feedback adjustment reference value at each monitoring time point.

[0026] The third aspect of the present invention provides a human breath processing device, including: a breath sensor for collecting oral hygiene data and transmitting the oral hygiene data to a microcontroller, including a temperature sensor, a humidity sensor and a hydrogen sulfide concentration sensor.

[0027] The microcontroller is used for receiving the oral hygiene data from the breath sensor and controlling the low-power red light emitting device according to the oral hygiene data.

[0028] Low-power red light emitting device for breath treatment by red light irradiation.

[0029] Built-in battery to power the microcontroller.

[0030] Power adapter, used to charge the built-in battery via magnetic charging.

[0031] Low battery indicator light, used to indicate low battery when the power supply of the microcontroller is insufficient;

[0032] The working status indicator light is used to display the working status of the microcontroller.

[0033] Built-in Bluetooth module is used to realize the interaction between the microcontroller and the smart device, transmit detection data or receive user control instructions.

[0034] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0035] (1) The present invention provides a human breath treatment system, method and device, establishes a relationship between oral data and low-power red light emitting device control, and constructs a real-time feedback control system that can continuously receive oral environment change data to ensure the rational and effective use of phototherapy energy, while improving the performance of the low-power red light emitting device and ensuring the safety of the operation of the low-power red light emitting device. The intelligent adjustment mechanism enables the phototherapy dose to be dynamically adjusted, realizing personalized and scientific low-power red light emitting device adjustment and control.

[0036] (2) The present invention obtains the required light dose by analyzing the oral hydrogen sulfide concentration and bacterial concentration, and makes personalized adjustments based on the characteristics of the individual's oral environment, providing a more accurate solution, helping to avoid excessive use of the device, and improving the safety and reliability of the use of phototherapy equipment.

[0037] (3) The present invention can help adjust the phototherapy parameters of the device by real-time monitoring of oral environment signal data to meet the needs of different oral environments, thereby optimizing the performance of the device, improving the working efficiency of the device, and avoiding waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0039] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0040] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0041] Figure 3 It is a connection diagram of the low-power red light emitting device of the present invention.

[0042] Figure 4 It is a schematic diagram of a functional relationship curve between a phototherapy feedback adjustment reference value and an oral environment signal data abnormality evaluation index involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0044] Reference Figure 1 As shown, the first aspect of the present invention provides a human breath treatment system, including: an oral hygiene quality assessment module, which is used for a micro-control processor to receive oral hygiene data, and obtain an initial indication coefficient of the oral data based on the oral hygiene data, wherein the oral hygiene data includes oral hydrogen sulfide concentration and various oral bacteria concentrations.

[0045] Specifically, the initial indication coefficient of oral data is obtained by processing. The specific processing process is: obtaining the oral hydrogen sulfide concentration and the concentration of various oral bacteria, extracting the required light dose influence weight coefficient of various oral bacteria, the critical concentration of oral bacteria and the critical oral hydrogen sulfide concentration from the oral hygiene database, and comprehensively analyzing to obtain the initial indication coefficient of oral data.

[0046] In this embodiment, the oral hygiene database is used to store breath treatment related data, including the required light dose influence weight coefficient of each type of oral bacteria, the critical concentration of oral bacteria, the critical oral hydrogen sulfide concentration, the cleaning light dose corresponding to the initial indication coefficient interval of each oral data, the initial luminous power and initial luminous time corresponding to each cleaning light dose, the tolerance temperature threshold of oral tissue in each area, the initial oral surface image, the critical oral humidity, the critical oral surface image variation coefficient, and the luminous power compensation value corresponding to each phototherapy feedback adjustment reference value interval.

[0047] The data in the oral hygiene database are obtained from laboratory tests, clinical research, and real-time data collected using oral health monitoring equipment. Through data cleaning, invalid or erroneous data is removed to ensure data quality, and the data is converted into a format suitable for storage and analysis. The appropriate database system is selected for storage based on the data type and access requirements.

[0048] In a specific embodiment, by analyzing the oral hydrogen sulfide concentration and bacterial concentration, the required light dose is obtained, and personalized adjustments are made according to the characteristics of the individual's oral environment to provide a more accurate solution, help avoid excessive use of the device, and improve the safety and reliability of the use of phototherapy equipment.

[0049] Specifically, the initial indication coefficient of oral data is a quantitative indicator obtained by analyzing the oral hydrogen sulfide concentration and the concentration of various oral bacteria. It is used to quantify the oral data that characterizes the initial state of oral hygiene quality.

[0050] Furthermore, the specific numerical expression of the initial indication coefficient of oral data is:

[0051]

[0052] In the formula, δ0 represents the initial index coefficient of oral data, C(H2S)0 represents the concentration of hydrogen sulfide in the oral cavity, and C(H2S) L represents the critical oral hydrogen sulfide concentration, C(XJ) r represents the concentration of oral bacteria of type r, C(XJ) L represents the critical concentration of oral bacteria, ω H represents the oral hygiene quality influencing factor corresponding to the set hydrogen sulfide concentration, ω r represents the weight coefficient of the required light dose of the rth type of oral bacteria, r represents the number of each type of oral bacteria, r=1,2,3,...,h, h represents the total number of oral bacteria types.

[0053] In this embodiment, a comprehensive and integrated evaluation method for oral hygiene is provided by comprehensively considering the concentration of hydrogen sulfide and the concentration of various oral bacteria. By quantitative concentration measurement, the interference of subjective factors can be reduced and the oral hygiene condition can be evaluated more accurately. According to the types and concentrations of oral bacteria of different people, as well as the concentration of hydrogen sulfide, a personalized oral hygiene improvement plan can be formulated. The weight coefficient of the required light dose of various oral bacteria can be adjusted according to the demand for light dose of specific bacteria, so that the model can perform a more personalized analysis of the oral microbial composition of different individuals. The concentration of hydrogen sulfide and the concentration of various oral bacteria are compared with the critical value. When approaching or exceeding a certain threshold, it may indicate that measures need to be taken to improve oral hygiene.

[0054] In this embodiment, the value range of the oral hygiene quality impact factor corresponding to the hydrogen sulfide concentration is between 0 and 1. By adjusting the value of the oral hygiene quality impact factor corresponding to the hydrogen sulfide concentration, the light dose requirement of different oral environments can be adapted, thereby improving the adaptability of the model.

[0055] It should be understood that the initial indication coefficient of oral data is determined by the concentration of hydrogen sulfide and oral bacteria. The higher the concentration of hydrogen sulfide and oral bacteria, the more types of oral bacteria there are, and the smaller the corresponding initial indication coefficient of oral data, indicating that the quality of oral hygiene is lower. The initial indication coefficient of oral data can be used as an early warning reference indicator to indicate potential oral health problems. This model can comprehensively consider the effects of hydrogen sulfide and various oral bacteria on oral hygiene and provide a comprehensive oral hygiene quality assessment.

[0056] In a specific embodiment, the initial indication coefficient of oral data can not only be obtained through the above calculation method, but also a comprehensive index can be formulated based on multiple indicators of oral hygiene (such as tooth loss, caries, periodontal disease, etc.) to evaluate the oral hygiene status. Professional oral health assessment software can also be used to input relevant oral health data and obtain an oral hygiene quality assessment through the oral health assessment software.

[0057] It should be understood that in this embodiment, the hydrogen sulfide concentration in the oral cavity is monitored by a hydrogen sulfide concentration sensor. Hydrogen sulfide is one of the main chemical components of bad breath, especially when it exists together with methyl mercaptan and dimethyl sulfide, the degree of bad breath is positively correlated with the amount of volatile sulfides in the oral cavity. Anaerobic bacteria in the oral cavity, such as peptococci and Micrococcus prausnitzii, produce hydrogen sulfide by degrading sulfur-containing amino acids. The concentration of hydrogen sulfide can be used as a biomarker for oral diseases, and the sulfide concentration level can reflect the severity of periodontal disease. The detection of hydrogen sulfide can be used to diagnose bad breath and evaluate the treatment effect.

[0058] It should be understood that in this embodiment, the concentrations of hydrogen sulfide (H2S), methyl mercaptan (CH3SH) and dimethyl sulfide [(CH3)2S] in the oral cavity are measured by a volatile sulfide measuring instrument, which can indirectly reflect the activity and concentration of odor-producing bacteria, and can be combined with an oral endoscope to identify the types and distribution of oral bacteria. The diversity and concentration of oral bacteria are directly related to the health of the oral cavity. Bad breath is closely related to volatile sulfides in the oral cavity, which are mainly produced by anaerobic bacteria in the oral cavity decomposing sulfur-containing amino acids.

[0059] The oral bacteria in the present invention mainly refer to the bacterial colonies that cause bad breath, such as Neisseria, Fusobacterium and Porphyromonas.

[0060] The oral cleaning light dose adaptation module is used to match the initial indication coefficient of oral data with the cleaning light dose corresponding to each initial indication coefficient interval of oral data stored in the oral hygiene database to obtain the required oral cleaning light dose, and extract the initial luminous power and initial luminous time corresponding to the required oral cleaning light dose from the oral hygiene database.

[0061] In this embodiment, there is a one-to-one correspondence between the oral data initial indication coefficient interval and the cleaning light dose. According to the oral data initial indication coefficient interval to which the oral data initial indication coefficient belongs, the corresponding oral cleaning light dose required can be obtained.

[0062] In this embodiment, by obtaining the required oral cleaning light dose, personalized phototherapy can be performed according to the oral hygiene quality, thereby improving the working efficiency of the device.

[0063] The oral cleaning feedback adjustment module is used to adjust the working state of the low-power red light emitting device according to the initial luminous power and the initial luminous time, receive the oral environment signal data sensed by the breath sensor in real time, analyze and obtain the oral environment signal data abnormality evaluation index at each monitoring time point, and obtain the phototherapy feedback adjustment reference value at each monitoring time point through comprehensive analysis based on the oral environment signal data abnormality evaluation index and the oral data real-time indication coefficient at each monitoring time point, and perform feedback adjustment on the low-power red light emitting device based on the phototherapy feedback adjustment reference value at each monitoring time point.

[0064] Specifically, oral environment signal data sensed by the breath sensor is received in real time, and the oral environment signal data abnormality assessment index at each monitoring time point is analyzed. The specific analysis process is: deploy several monitoring time points, and collect oral environment signal data at each monitoring time point. The oral environment signal data includes oral tissue temperature, oral surface image data and oral humidity.

[0065] According to the different temperature tolerance of different oral tissues, the oral tissues are divided into regions, the temperature of the oral tissues in each region at each monitoring time point is collected, and the tolerance temperature threshold of the oral tissues in each region is obtained from the oral hygiene database.

[0066] It should be understood that in this embodiment, the temperature of the oral tissue in each area is monitored by a temperature sensor, and by dividing the oral tissue into regions, the device can design phototherapy parameters in a targeted manner to meet the needs of different regions. The device can identify and adapt to the heat resistance of different oral tissues, provide personalized phototherapy solutions, and enhance the adaptability of the device. Regional division enables the device to control energy output more accurately, avoid damage to sensitive tissues, and ensure that effective tissues are fully irradiated, reduce the risk of thermal damage, and improve the safety of device use.

[0067] The oral surface images at each monitoring time point were extracted, and the oral surface images at each monitoring time point were overlapped and compared with the initial oral surface images stored in the oral hygiene database, and the coefficient of variation of the oral surface images at each monitoring time point was obtained by analysis. The coefficient of variation of the oral surface images was used to quantitatively evaluate the degree of change of the oral surface images.

[0068] In a specific embodiment, the coefficient of variation of the oral apparent image at each monitoring time point is obtained by analysis. The specific analysis process is: extracting the pixel value of each pixel point of the oral apparent image at each monitoring time point and the corresponding pixel point of the initial oral apparent image, and obtaining the coefficient of variation of the oral apparent image at each monitoring time point by comparing the pixel value difference of each pixel point of the oral apparent image at each monitoring time point with the initial oral apparent image. The specific numerical expression of the coefficient of variation of the oral apparent image at each monitoring time point is: In the formula, θi represents the coefficient of variation of the oral surface image at the i-th monitoring time point, PIX it represents the pixel value of the tth pixel in the oral surface image at the ith monitoring time point, PIX 0t It represents the pixel value of the t-th pixel of the initial oral surface image, t represents the number of each pixel, t=1,2,3,...,s, s represents the total number of pixels, i represents the number of each monitoring time point, i=1,2,3,...,n, n represents the total number of monitoring time points.

[0069] The coefficient of variation of the oral apparent image at each monitoring time point is related to the difference between the pixel value of the oral apparent image at each monitoring time point and the pixel value of the initial oral apparent image. The larger the difference, the larger the corresponding coefficient of variation of the oral apparent image, indicating that the greater the difference between the oral apparent image at the monitoring time point and the initial oral apparent image, the oral tissue may be damaged by phototherapy, and the phototherapy equipment may be overused.

[0070] In a specific embodiment, the coefficient of variation of the oral surface image can not only be obtained by the above calculation method, but also by extracting and analyzing the features of the oral surface image based on deep learning image analysis technology, and professional image processing software such as Adobe Photoshop, GIMP, etc. can be used to directly obtain the coefficient of variation of the oral surface image.

[0071] It should be understood that in this embodiment, the oral cavity surface image is collected through an oral endoscope. By real-time monitoring and comparison of the oral cavity surface image, the changes in the oral cavity surface image during the treatment process can be intuitively seen to evaluate the treatment effect. According to the image comparison results, the specific conditions of the oral cavity can be better understood, the parameters of phototherapy can be adjusted in time, and a personalized phototherapy parameter adjustment plan can be formulated to optimize the effect of breath treatment. At the same time, real-time monitoring can help accurately locate the area that needs treatment and avoid unnecessary irradiation of surrounding healthy tissues.

[0072] The critical oral humidity and critical oral surface image variation coefficient were extracted from the oral hygiene database, and the oral environmental signal data abnormality assessment index at each monitoring time point was obtained through comprehensive analysis.

[0073] Specifically, the oral environment signal data abnormality assessment index at each monitoring time point is a quantitative indicator obtained by analyzing the oral environment signal data at each monitoring time point, and is used to quantitatively assess the degree of abnormality of the oral environment signal data at each monitoring time point during the use of the low-power red light emitting device.

[0074] In a specific embodiment, the oral environment signal data abnormality evaluation index at each monitoring time point is specifically expressed as: In the formula, β irepresents the abnormal evaluation index of the oral environment signal data at the i-th monitoring time point, θ L represents the coefficient of variation of the critical oral surface image, W i represents the oral humidity at the ith monitoring time point, W L represents the critical oral humidity, Q ip represents the temperature of the oral tissue in the pth region at the ith monitoring time point, Q Lp represents the tolerance temperature threshold of the oral tissue in the pth region, ψ1 represents the oral environment signal data abnormality influence weight factor corresponding to the set oral surface image variation coefficient, ψ2 represents the oral environment signal data abnormality influence weight factor corresponding to the set oral humidity, ψ3 represents the oral environment signal data abnormality influence weight factor corresponding to the set oral temperature, p represents the number of the oral tissue in each region, p=1,2,3,...,k, k represents the total number of oral tissues in the region, i represents the number of each monitoring time point, i=1,2,3,...,n, n represents the total number of monitoring time points.

[0075] Table 1 Examples of values ​​for oral environment signal data anomaly assessment index

[0076]

[0077] As shown in Table 1, the value of the oral environment signal data abnormality assessment index is jointly determined by the oral apparent image variation coefficient, oral humidity and oral temperature. The larger the oral apparent image variation coefficient and oral temperature, the smaller the oral humidity, and the larger the corresponding oral environment signal data abnormality assessment index, indicating that the oral environment signal data is more abnormal.

[0078] In this embodiment, the value range of the weight factor of the oral environment signal data abnormality corresponding to the oral apparent image variation coefficient, oral humidity and oral temperature is between 0 and 1. The weight factor of the oral environment signal data abnormality corresponding to the oral apparent image variation coefficient, oral humidity and oral temperature is used to describe the influence of the oral apparent image variation coefficient, oral humidity and oral temperature on the evaluation of oral environment signal data abnormality. By adjusting the value of the weight factor of the oral environment signal data abnormality corresponding to the oral apparent image variation coefficient, oral humidity and oral temperature, the oral environment signal data abnormality can be evaluated under different oral environments, which helps to improve the adaptability of the formula and the accuracy of the oral environment signal data abnormality evaluation results.

[0079] In a specific embodiment, the oral environment signal data abnormality assessment index at each monitoring time point can be obtained not only by the above calculation method, but also by extracting features such as texture, shape and color from the oral image, and by using support vector machines, random forests, gradient boosting machines and other algorithms, inputting oral-related data to obtain a classification of the degree of oral damage, and applying linear regression, ridge regression and other regression models to predict the degree of abnormality of the oral environment signal data, and quantifying the oral environment signal data abnormality assessment index at each monitoring time point.

[0080] In a specific embodiment, real-time monitoring of oral environment signal data can help adjust the phototherapy parameters of the device to meet the needs of different oral environments, thereby optimizing the performance of the device, improving the working efficiency of the device, and avoiding waste of resources.

[0081] It should be understood that in this embodiment, the humidity of the oral cavity is monitored by a humidity sensor. By real-time monitoring of the humidity of the oral cavity, the moisture state of the oral mucosa during phototherapy can be evaluated, and oral dryness caused by phototherapy can be detected in time. The monitoring data of oral humidity can help formulate personalized treatment plans, adjust the dosage and time of phototherapy, and reduce the adverse reactions of the use of phototherapy equipment through timely intervention measures. A decrease in oral humidity may be an early signal of improper use of phototherapy equipment. By monitoring the humidity of the oral cavity, early identification and intervention can be achieved to prevent the use of phototherapy equipment from causing adverse consequences to the oral cavity.

[0082] Specifically, a comprehensive analysis is performed to obtain a reference value for phototherapy feedback adjustment at each monitoring time point. The specific analysis process is: collecting oral hygiene data at each monitoring time point, analyzing to obtain a real-time indication coefficient for oral data at each monitoring time point, and the real-time indication coefficient for oral data is used to quantify oral data related to oral hygiene quality.

[0083] In this embodiment, the specific analysis process of the real-time indication coefficient of oral data is consistent with the analysis process of the initial indication coefficient of oral data, and the oral hygiene quality is evaluated by comprehensively considering the hydrogen sulfide concentration and the concentration of various oral bacteria at each monitoring time point.

[0084] According to the oral environment signal data abnormality assessment index and the oral data real-time indication coefficient at each monitoring time point, a comprehensive analysis is performed to obtain the phototherapy feedback adjustment reference value at each monitoring time point. The phototherapy feedback adjustment reference value is a quantitative indicator obtained based on the analysis of the oral environment signal data abnormality assessment index and the oral data real-time indication coefficient, and is used to quantify the degree of required adjustment of the luminous power of a low-power red light emitting device.

[0085] In a specific embodiment, the phototherapy feedback adjustment reference value at each monitoring time point is specifically expressed as: In the formula, φ irepresents the phototherapy feedback adjustment reference value at the i-th monitoring time point, δ i represents the real-time indication coefficient of oral data at the i-th monitoring time point, β i represents the abnormal evaluation index of oral environment signal data at the i-th monitoring time point, e represents the natural constant, τ1 represents the phototherapy feedback adjustment influence factor corresponding to the set oral data real-time indication coefficient, τ2 represents the phototherapy feedback adjustment influence factor corresponding to the set oral data real-time indication coefficient, i represents the number of each monitoring time point, i=1,2,3,...,n, n represents the total number of monitoring time points.

[0086] like Figure 4 As shown, when δ i =0.2, the functional relationship between the phototherapy feedback adjustment reference value and the oral environment signal data abnormal evaluation index is shown in curve a; when δ i =0.5, the functional relationship between the phototherapy feedback adjustment reference value and the oral environment signal data abnormal evaluation index is shown in curve b; when δ i When =0.8, the functional relationship between the phototherapy feedback adjustment reference value and the oral environment signal data abnormality evaluation index is shown in curve c. The phototherapy feedback adjustment reference value is jointly determined by the oral data real-time indication coefficient and the oral environment signal data abnormality evaluation index. The smaller the oral data real-time indication coefficient and the oral environment signal data abnormality evaluation index, the larger the corresponding phototherapy feedback adjustment reference value, indicating that phototherapy can withstand higher luminous power and requires higher luminous power for breath treatment. By real-time monitoring of oral hygiene quality and oral environment signal data abnormalities, personalized phototherapy feedback adjustment reference values ​​can be provided for each monitoring time point, thereby more accurately adapting to individual differences, adapting to changes in the oral environment, improving the working efficiency of phototherapy equipment, and helping to reduce unnecessary use of phototherapy equipment.

[0087] In a specific embodiment, the phototherapy feedback adjustment reference value can not only be obtained through the above calculation method, but also by collecting data through clinical trials and analyzing the efficacy of phototherapy on different groups, so as to determine the appropriate phototherapy parameters and adjustment reference values. It can also collect treatment data and use data analysis and machine learning technology to predict and optimize phototherapy parameters.

[0088] Specifically, the low-power red light emitting device is feedback-adjusted according to the phototherapy feedback adjustment reference value at each monitoring time point. The specific process is: matching the phototherapy feedback adjustment reference value at each monitoring time point with the luminous power compensation value corresponding to each phototherapy feedback adjustment reference value interval stored in the oral hygiene database to obtain the luminous power compensation value at each monitoring time point.

[0089] The luminous power compensation value at the current monitoring time point is summed with the luminous power at the previous adjacent monitoring time point, and the sum result is marked as the luminous power at the current monitoring time point. The luminous power of the low-power red light emitting device is adjusted according to the luminous power at the current monitoring time point.

[0090] Reference Figure 2 As shown, the second aspect of the present invention provides a method for treating human breath, comprising: a microcontroller receives oral hygiene data, and processes the oral hygiene data to obtain an initial indication coefficient of the oral data, wherein the oral hygiene data includes oral hydrogen sulfide concentration and various oral bacteria concentrations.

[0091] The initial indication coefficient of the oral data is matched with the cleaning light dose corresponding to each initial indication coefficient interval of the oral data stored in the oral hygiene database to obtain the required cleaning light dose for the oral cavity, and the initial luminous power and initial luminous time corresponding to the required cleaning light dose for the oral cavity are extracted from the oral hygiene database.

[0092] The working state of the low-power red light emitting device is adjusted according to the initial luminous power and the initial luminous time, the oral environment signal data sensed by the breath sensor is received in real time, and the oral environment signal data abnormality evaluation index at each monitoring time point is analyzed to obtain the oral environment signal data abnormality evaluation index at each monitoring time point and the oral data real-time indication coefficient. A comprehensive analysis is performed to obtain the phototherapy feedback adjustment reference value at each monitoring time point, and the low-power red light emitting device is feedback-adjusted according to the phototherapy feedback adjustment reference value at each monitoring time point.

[0093] Reference Figure 3 As shown, the third aspect of the present invention provides a human breath processing device, including: a breath sensor for collecting oral hygiene data and transmitting the oral hygiene data to a microcontroller, including a temperature sensor, a humidity sensor and a hydrogen sulfide concentration sensor.

[0094] The microcontroller is used for receiving the oral hygiene data from the breath sensor and controlling the low-power red light emitting device according to the oral hygiene data.

[0095] Low-power red light emitting device for breath treatment by red light irradiation.

[0096] Built-in battery to power the microcontroller.

[0097] Power adapter, used to charge the built-in battery via magnetic charging.

[0098] The low battery indicator light is used to provide a low battery prompt when the power supply of the microcontroller is insufficient.

[0099] The working status indicator light is used to display the working status of the microcontroller.

[0100] Built-in Bluetooth module is used to realize the interaction between the microcontroller and the smart device, transmit detection data or receive user control instructions.

[0101] In a specific embodiment, the present invention provides a human breath treatment system, method and device, establishes a relationship between oral data and low-power red light emitting device control, and constructs a real-time feedback control system that can continuously receive oral environment change data to ensure the rational and effective use of phototherapy energy, while improving the performance of the low-power red light emitting device and ensuring the safety of the operation of the low-power red light emitting device. The intelligent adjustment mechanism enables the phototherapy dose to be dynamically adjusted, which can significantly improve the breath problem and realize personalized and scientific low-power red light emitting device adjustment and control.

[0102] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A human breath treatment system, characterized in that: include: An oral hygiene quality assessment module is used for a microcontroller to receive oral hygiene data and obtain an initial indication coefficient of oral data according to the oral hygiene data, wherein the oral hygiene data includes oral hydrogen sulfide concentration and various oral bacteria concentrations; An oral cleaning light dose adaptation module is used to match the initial indication coefficient of the oral data with the cleaning light dose corresponding to each initial indication coefficient interval of the oral data stored in the oral hygiene database to obtain the required oral cleaning light dose, and extract the initial luminous power and initial luminous time corresponding to the required oral cleaning light dose from the oral hygiene database; An oral cleaning feedback adjustment module is used to adjust the working state of the low-power red light emitting device according to the initial luminous power and the initial luminous time, receive the oral environment signal data sensed by the breath sensor in real time, analyze and obtain the oral environment signal data abnormality evaluation index at each monitoring time point, and obtain the phototherapy feedback adjustment reference value at each monitoring time point based on the oral environment signal data abnormality evaluation index and the oral data real-time indication coefficient at each monitoring time point through comprehensive analysis, and perform feedback adjustment on the low-power red light emitting device based on the phototherapy feedback adjustment reference value at each monitoring time point; The processing obtains the initial indication coefficient of the oral data, and the specific processing process is: The oral hydrogen sulfide concentration and the concentration of various oral bacteria were obtained, and the required light dose influence weight coefficients of various oral bacteria, the critical concentration of oral bacteria and the critical oral hydrogen sulfide concentration were extracted from the oral hygiene database. The initial indication coefficient of the oral data was obtained through comprehensive analysis. The specific numerical expression of the initial indication coefficient of oral data is: ； In the formula, represents the initial indication coefficient of oral data, Indicates the oral hydrogen sulfide concentration, represents the critical oral hydrogen sulfide concentration, represents the concentration of oral bacteria of type r, represents the critical concentration of oral bacteria, Indicates the oral hygiene quality impact factor corresponding to the set hydrogen sulfide concentration, represents the weight coefficient of the required light dose of the rth type of oral bacteria, r represents the number of each type of oral bacteria, r=1,2,3,...,h, h represents the total number of oral bacteria; The oral environment signal data sensed by the breath sensor is received in real time, and the oral environment signal data abnormality evaluation index at each monitoring time point is obtained by analysis. The specific analysis process is as follows: Deploy several monitoring time points and collect oral environment signal data at each monitoring time point, wherein the oral environment signal data includes oral tissue temperature, oral surface image data and oral humidity; According to the different tolerance of different oral tissues to temperature, the oral tissues are divided into regions, the temperature of the oral tissues in each region at each monitoring time point is collected, and the tolerance temperature threshold of the oral tissues in each region is obtained from the oral hygiene database; Extract the oral surface image at each monitoring time point, overlap and compare the oral surface image at each monitoring time point with the initial oral surface image stored in the oral hygiene database, and analyze to obtain the coefficient of variation of the oral surface image at each monitoring time point, which is used to quantitatively evaluate the degree of change of the oral surface image; The critical oral humidity and critical oral surface image variation coefficient were extracted from the oral hygiene database, and the oral environmental signal data abnormality assessment index at each monitoring time point was obtained through comprehensive analysis.

2. The human breath treatment system according to claim 1, characterized in that: The comprehensive analysis obtains the phototherapy feedback adjustment reference value at each monitoring time point, and the specific analysis process is as follows: Collecting oral hygiene data at each monitoring time point, analyzing and obtaining a real-time indication coefficient of oral data at each monitoring time point, wherein the real-time indication coefficient of oral data is used to quantify oral data related to oral hygiene quality; According to the oral environment signal data abnormality assessment index and the oral data real-time indication coefficient at each monitoring time point, a comprehensive analysis is performed to obtain the phototherapy feedback adjustment reference value at each monitoring time point. The phototherapy feedback adjustment reference value is a quantitative indicator obtained based on the analysis of the oral environment signal data abnormality assessment index and the oral data real-time indication coefficient, and is used to quantify the degree of required adjustment of the luminous power of a low-power red light emitting device.

3. The human breath treatment system according to claim 2, characterized in that: The specific process of performing feedback adjustment on the low-power red light emitting device according to the light therapy feedback adjustment reference value at each monitoring time point is as follows: Matching the phototherapy feedback adjustment reference value at each monitoring time point with the luminous power compensation value corresponding to each phototherapy feedback adjustment reference value interval stored in the oral hygiene database to obtain the luminous power compensation value at each monitoring time point; The luminous power compensation value at the current monitoring time point is summed with the luminous power at the previous adjacent monitoring time point, and the sum result is marked as the luminous power at the current monitoring time point. The luminous power of the low-power red light emitting device is adjusted according to the luminous power at the current monitoring time point.

4. The human breath treatment system according to claim 1, characterized in that: The oral data initial indication coefficient is a quantitative index obtained by analyzing the oral hydrogen sulfide concentration and the concentration of various oral bacteria, and is used to quantify the oral data that characterizes the initial state of oral hygiene quality.

5. The human breath treatment system according to claim 1, characterized in that: The oral environment signal data abnormality assessment index at each monitoring time point is a quantitative indicator obtained by analyzing the oral environment signal data at each monitoring time point, and is used to quantitatively assess the degree of abnormality of the oral environment signal data at each monitoring time point during the use of the low-power red light emitting device.

6. A method for treating human breath, characterized in that: The method is performed using the human breath treatment system according to any one of claims 1 to 5, comprising the following steps: The microcontroller receives the oral hygiene data and processes the oral hygiene data to obtain an initial indication coefficient of the oral data, wherein the oral hygiene data includes the oral hydrogen sulfide concentration and the concentration of various oral bacteria; Matching the initial indication coefficient of the oral data with the cleaning light dose corresponding to each initial indication coefficient interval of the oral data stored in the oral hygiene database to obtain the required cleaning light dose for the oral cavity, and extracting the initial luminous power and initial luminous time corresponding to the required cleaning light dose for the oral cavity from the oral hygiene database; The working state of the low-power red light emitting device is adjusted according to the initial luminous power and the initial luminous time, the oral environment signal data sensed by the breath sensor is received in real time, and the oral environment signal data abnormality evaluation index at each monitoring time point is analyzed to obtain the oral environment signal data abnormality evaluation index at each monitoring time point and the oral data real-time indication coefficient. A comprehensive analysis is performed to obtain the phototherapy feedback adjustment reference value at each monitoring time point, and the low-power red light emitting device is feedback-adjusted according to the phototherapy feedback adjustment reference value at each monitoring time point.

7. A low-power red light emitting device using the human breath treatment system as claimed in any one of claims 1 to 5, characterized in that: include: A breath sensor, used to collect oral hygiene data and transmit the oral hygiene data to a microcontroller, including a temperature sensor, a humidity sensor, and a hydrogen sulfide concentration sensor; A microcontroller is used to receive oral hygiene data from the breath sensor and control the low-power red light emitting device according to the oral hygiene data; A low-power red light emitting device for treating breath by irradiating with red light; Built-in battery to power the microcontroller; Power adapter, used to charge the built-in battery via magnetic charging; The low-battery indicator light is used to indicate low-battery status when the power supply of the microcontroller is insufficient; Working status indicator light, used to display the working status of the microcontroller; Built-in Bluetooth module is used to realize the interaction between the microcontroller and the smart device, transmit detection data or receive user control instructions.

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