A dental treatment device for detecting bad breath

Abstract

The present invention relates to a dental treatment device for detecting bad breath, which solves the technical problem that the dental treatment device cannot detect and display bad breath. The dental treatment device capable of detecting bad breath comprises an odor sensor for detecting bad breath, the odor sensor is connected to an MCU unit, and the MCU unit is connected to a display unit; the technical solution of the display unit displaying bad breath solves the problem well and can be used in dental treatment.

Description

Technical Field

[0001] The invention relates to the field of dental treatment instruments, and in particular to a dental treatment instrument for detecting bad breath. Background Art

[0002] Dental medical instruments refer to various small portable tools used in dentistry, which are called dental instruments internationally. Dental medical instruments include dental handpieces, oral handpiece sterilizers, tooth extraction forceps, dental elevators, dental picks and other surgical instruments, manual dental instruments, dental rotary instruments, dental injection instruments, and root canal instruments. The scope of dental medical instruments is wide and there are many manufacturers. The corresponding international group ISO / TC106 SC4 is specifically responsible for standardization work in this area.

[0003] Currently, all dental treatment instruments cannot detect bad breath in the oral cavity, people cannot self-check their bad breath, and doctors cannot communicate intuitively during the doctor-patient communication process, while bad breath is one of the manifestations of dental diseases. Therefore, the present invention provides a dental treatment instrument that can detect and intuitively display human bad breath. Summary of the invention

[0004] The technical problem to be solved by the present invention is the lack of oral halitosis detection in the prior art. A new dental treatment device for detecting halitosis is provided, which has the characteristic of being able to detect halitosis.

[0005] In order to solve the above technical problems, the technical solutions adopted are as follows:

[0006] A dental treatment device for detecting bad breath comprises an odor sensor for detecting bad breath, the odor sensor is connected to an MCU unit, the MCU unit is connected to a display unit; the display unit displays a bad breath index.

[0007] Further, the odor sensor includes a power control module, a locator, a microcontroller chip, a signal transmission module, and an odor detection sensor;

[0008] The power control module includes a normally open magnetic control switch. When not in use, it is placed in a permanent magnetic field device with a specific magnetic field direction. The magnetic control switch is in an off state and the circuit is disconnected. When in use, it is taken out of the permanent magnetic field device, the magnetic control switch is closed, and the odor sensor circuit is connected and starts working.

[0009] Furthermore, a signal amplification unit is connected between the odor sensor and the MCU unit.

[0010] Furthermore, the signal amplification unit includes an integrated circuit LM324, the first pin of the integrated circuit LM324 is connected to a resistor R53 and a resistor R51, the other pin of the resistor R53 is connected to the W_AN signal pin, the other pin of the resistor R51 is connected to the second pin of the integrated circuit LM324 and the resistor R52, and the other pin of the resistor R52 is grounded; the third pin of the integrated circuit LM324 is connected to the capacitor C51 to the ground and to the resistor R50, and the other pin of the resistor R50 is connected to the HV signal pin; the fourth pin of the integrated circuit LM324 is connected to the +12V power pin, and the +12V power pin is connected to the GND pin through the capacitor C50.

[0011] Furthermore, the signal amplification circuit includes an integrated circuit LM321, wherein the first pin of the integrated circuit LM321 is connected in series with a resistor R43 to the VS_FB signal terminal; the second pin of the integrated circuit LM321 is grounded; the third pin of the integrated circuit LM321 is connected in parallel with resistors R44 and R45, the resistor R44 is grounded, and the resistor R45 is connected to the fourth pin of the integrated circuit LM321.

[0012] Furthermore, the MCU unit is provided with a bad breath value processing unit for preprocessing the odor sensor data, and the bad breath value processing unit performs the following steps:

[0013] Step 1: Collect the bad breath values ​​corresponding to the odor sensor within time t and generate the time series Z t ;

[0014] Step 2, using the correlation between abnormal symptoms and halitosis values ​​in historical data, establishing a correlation function based on halitosis values ​​as a symptom prediction algorithm;

[0015] Step 3: The preprocessed time series Z t′ Input the symptom prediction algorithm to obtain the symptom prediction result.

[0016] Furthermore, the disease prediction algorithm includes:

[0017] Step 1, randomly select m×n normal bad breath values ​​other than the bad breath values ​​corresponding to abnormal symptoms as samples;

[0018] Step 2, calculating the difference between the actual halitosis value and the sample halitosis value, and defining the difference less than a preset threshold as a short-circuit sign;

[0019] Step 4, randomly construct the calculated value differences into an Euler model in the form of m rows and n columns. The Euler model is an undirected connected graph, where the corresponding value differences are vertices, and the vertices are connected by Euler edges;

[0020] Step 5, adding virtual edges to the periphery of the array of the Euler model, converting vertices with odd degrees into vertices with even degrees, and constructing an Euler circuit;

[0021] Step 6, define the larger the difference value, the higher the priority as the priority strategy, determine any vertex in the Euler circuit as the search starting point, determine whether all adjacent edges of the starting point have been traversed according to the priority strategy, and determine the next adjacent vertex to be passed;

[0022] Step 7, repeat step 6 until all edges have been traversed, and record the vertices passed in sequence as a feasible solution, that is, the test path for calculating the bad breath value;

[0023] Step 8, determine the size of the vertex with the largest difference in the test path and the threshold. If the difference is greater than or equal to the threshold, it is defined as a symptom and a symptom warning result is output; if the difference is less than the threshold, it is defined as no symptom.

[0024] Furthermore, the threshold is preset by defining the dynamic error of the system as ±E 1 , the estimated residual is ±E 2 , preset fault judgment threshold V=2(|E 1 |+|E 2 |).

[0025] Furthermore, the dynamic error of the system is defined as ±E 1 , the estimated residual is ±E 2 The fault decision unit is responsible for this;

[0026] The fault decision unit includes a user interface, a static database, a dynamic database, a knowledge base, an inference engine, a knowledge acquisition unit, a time series model recognition unit, a time series predictor, and a fault estimator; the user interface is connected to the inference engine, the static database, and the knowledge acquisition unit in parallel, the inference engine is connected to the static database, the dynamic database, and the knowledge base, and the knowledge acquisition unit is connected to the knowledge base; the static database is connected to the fault estimator and the time series model recognition unit, and the time series predictor is connected between the fault estimator and the time series model recognition unit.

[0027] Beneficial effects of the present invention: The present invention uses an odor sensor, which is connected to existing dental care and treatment products, to detect oral halitosis during treatment or care, and remind the user to take necessary treatment. At the same time, the halitosis value processing unit and fault decision unit are used to effectively improve the detection and treatment level of halitosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0029] Figure 1 , schematic diagram of the dental treatment device for detecting bad breath in Example 1.

[0030] Figure 2 , schematic diagram of the first signal amplification circuit in Example 1.

[0031] Figure 3 , schematic diagram of the second signal amplification circuit in Example 1.

[0032] Figure 4 , schematic diagram of the odor sensor in Example 1. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0034] Example 1

[0035] This embodiment provides a dental treatment device for detecting bad breath, such as Figure 1 The dental treatment device capable of detecting bad breath includes an odor sensor for detecting bad breath, the odor sensor is connected to an MCU unit, and the MCU unit is connected to a display unit; the display unit displays a bad breath index.

[0036] Preferably, if Figure 4 The odor sensor includes a power control module, a positioner, a microcontroller chip, a signal transmission module, and an odor detection sensor; the power control module includes a normally open magnetic control switch, which is placed in a permanent magnetic field device with a specific magnetic field direction when not in use, the magnetic control switch is in an off state, and the circuit is disconnected; when in use, it is taken out of the permanent magnetic field device, the magnetic control switch is closed, and the odor sensor circuit is connected to start working

[0037] Preferably, in order to better transmit the amplitude between the output of the odor sensor and the signal received by the MCU unit, a signal amplification unit is connected between the odor sensor and the MCU unit.

[0038] Specifically, Figure 2 The first signal amplification unit includes an integrated circuit LM324, wherein the first pin of the integrated circuit LM324 is connected to a resistor R53 and a resistor R51, the other pin of the resistor R53 is connected to the W_AN signal pin, the other pin of the resistor R51 is connected to the second pin of the integrated circuit LM324 and the resistor R52, and the other pin of the resistor R52 is grounded; the third pin of the integrated circuit LM324 is connected to the capacitor C51 to the ground and connected to the resistor R50, and the other pin of the resistor R50 is connected to the HV signal pin; the fourth pin of the integrated circuit LM324 is connected to the +12V power pin, and the +12V power pin is connected to the GND pin through the capacitor C50.

[0039] like Figure 3The second signal amplifying circuit includes an integrated circuit LM321, wherein the first pin of the integrated circuit LM321 is connected in series with a resistor R43 to the VS_FB signal terminal; the second pin of the integrated circuit LM321 is grounded; the third pin of the integrated circuit LM321 is connected in parallel with a resistor R44 and a resistor R45, the resistor R44 is grounded, and the resistor R45 is connected to the fourth pin of the integrated circuit LM321.

[0040] Preferably, the MCU unit is provided with a bad breath value processing unit for preprocessing the odor sensor data, and the bad breath value processing unit performs the following steps:

[0041] Step 1: Collect the bad breath values ​​corresponding to the odor sensor within time t and generate the time series Z t ;

[0042] Step 2, using the correlation between abnormal symptoms and halitosis values ​​in historical data, establishing a correlation function based on halitosis values ​​as a symptom prediction algorithm;

[0043] Step 3: The preprocessed time series Z t′ Input the symptom prediction algorithm to obtain the symptom prediction result.

[0044] Specifically, the disease prediction algorithm includes:

[0045] Step 1, randomly select m×n normal bad breath values ​​other than the bad breath values ​​corresponding to abnormal symptoms as samples;

[0046] Step 2, calculating the difference between the actual halitosis value and the sample halitosis value, and defining the difference less than a preset threshold as a short-circuit sign;

[0047] Step 4, randomly construct the calculated value differences into an Euler model in the form of m rows and n columns. The Euler model is an undirected connected graph, where the corresponding value differences are vertices, and the vertices are connected by Euler edges;

[0048] Step 5, adding virtual edges to the periphery of the array of the Euler model, converting vertices with odd degrees into vertices with even degrees, and constructing an Euler circuit;

[0049] Step 6, define the larger the difference value, the higher the priority as the priority strategy, determine any vertex in the Euler circuit as the search starting point, determine whether all adjacent edges of the starting point have been traversed according to the priority strategy, and determine the next adjacent vertex to be passed;

[0050] Step 7, repeat step 6 until all edges have been traversed, and record the vertices passed in sequence as a feasible solution, that is, the test path for calculating the bad breath value;

[0051] Step 8, determine the size of the vertex with the largest difference in the test path and the threshold. If the difference is greater than or equal to the threshold, it is defined as a symptom and a symptom warning result is output; if the difference is less than the threshold, it is defined as no symptom.

[0052] Specifically, the threshold is preset by defining the dynamic error of the system as ±E 1 , the estimated residual is ±E 2 , preset fault judgment threshold V=2(|E 1 |+|E 2 |).

[0053] Specifically, the dynamic error of the system is defined as ±E 1 , the estimated residual is ±E 2 The fault decision unit is responsible for this;

[0054] The fault decision unit includes a user interface, a static database, a dynamic database, a knowledge base, an inference engine, a knowledge acquisition unit, a time series model recognition unit, a time series predictor, and a fault estimator; the user interface is connected to the inference engine, the static database, and the knowledge acquisition unit in parallel, the inference engine is connected to the static database, the dynamic database, and the knowledge base, and the knowledge acquisition unit is connected to the knowledge base; the static database is connected to the fault estimator and the time series model recognition unit, and the time series predictor is connected between the fault estimator and the time series model recognition unit.

[0055] This embodiment uses an odor sensor, which is connected to existing dental care and treatment products, to detect oral halitosis during treatment or care, and remind the user to take necessary treatment. At the same time, a halitosis value processing unit and a fault decision unit are used to effectively improve the detection and treatment level of halitosis.

[0056] Since the fault decision unit has human-computer dialogue and explanation functions, some difficult faults can be satisfactorily resolved with simple intervention of the operator, which also increases the credibility of the fault diagnosis system.

[0057] Although the above describes the illustrative specific embodiments of the present invention so that those skilled in the art can understand the present invention, the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, all inventions and creations using the concepts of the present invention are protected.

Claims

1. A dental treatment device for detecting bad breath, characterized in that: The dental treatment device for detecting bad breath includes an odor sensor for detecting bad breath, the odor sensor is connected to an MCU unit, and the MCU unit is connected to a display unit; the display unit displays a bad breath index; The odor sensor includes a power control module, a locator, a microcontroller chip, a signal transmission module, and an odor detection sensor; The power control module includes a normally open magnetic control switch, which is placed in a permanent magnetic field device with a specific magnetic field direction when not in use, the magnetic control switch is in an open state, and the circuit is disconnected; when in use, it is taken out of the permanent magnetic field device, the magnetic control switch is closed, and the odor sensor circuit is connected and starts to work; The MCU unit is provided with a bad breath value processing unit for preprocessing the odor sensor data, and the bad breath value processing unit performs the following steps: Step 1: Collect the bad breath values ​​corresponding to the odor sensor within time t and generate the time series Z t ; Step 2, using the correlation between abnormal symptoms and halitosis values ​​in historical data, establishing a correlation function based on halitosis values ​​as a symptom prediction algorithm; Step 3: The preprocessed time series Z t′ Input the disease prediction algorithm to obtain the disease prediction result; Symptom prediction algorithms include: Step 1, randomly select m×n normal bad breath values ​​other than the bad breath values ​​corresponding to abnormal symptoms as samples; Step 2, calculating the difference between the actual halitosis value and the sample halitosis value, and defining the difference less than a preset threshold as a short-circuit sign; Step 3, randomly construct the calculated differences into an Euler model in the form of m rows and n columns. The Euler model is an undirected connected graph, the corresponding differences are vertices, and the vertices are connected by Euler edges; Step 4, adding virtual edges to the periphery of the array of the Euler model, converting vertices with odd degrees into vertices with even degrees, and constructing an Euler circuit; Step 5, define the larger the difference value, the higher the priority as the priority strategy, determine any vertex in the Euler circuit as the search starting point, determine whether all adjacent edges of the starting point have been traversed according to the priority strategy, and determine the next adjacent vertex to be passed; Step 6, repeat step 5 until all edges have been traversed, and record the vertices passed in sequence as a feasible solution, that is, the test path for calculating the bad breath value; Step 7, determine the size of the vertex with the largest difference in the test path and the threshold. If the difference is greater than or equal to the threshold, it is defined as a symptom and a symptom warning result is output; if the difference is less than the threshold, it is defined as no symptom.

2. The dental treatment device for detecting bad breath according to claim 1, characterized in that: A signal amplification unit is connected between the odor sensor and the MCU unit.

3. The dental treatment device for detecting bad breath according to claim 2, characterized in that: The signal amplification unit includes an integrated circuit LM324, wherein the first pin of the integrated circuit LM324 is connected to a resistor R53 and a resistor R51, the other pin of the resistor R53 is connected to the W_AN signal pin, the other pin of the resistor R51 is connected to the second pin of the integrated circuit LM324 and the resistor R52, and the other pin of the resistor R52 is grounded; the third pin of the integrated circuit LM324 is connected to the capacitor C51 to the ground and to the resistor R50, and the other pin of the resistor R50 is connected to the HV signal pin; the fourth pin of the integrated circuit LM324 is connected to the +12V power pin, and the +12V power pin is connected to the GND pin through the capacitor C50.

4. The dental treatment device for detecting bad breath according to claim 2, characterized in that: The signal amplifying unit comprises an integrated circuit LM321, wherein the first pin of the integrated circuit LM321 is connected in series with a resistor R43 to the VS_FB signal terminal; the second pin of the integrated circuit LM321 is grounded; the third pin of the integrated circuit LM321 is connected in parallel with resistors R44 and R45, the resistor R44 is grounded, and the resistor R45 is connected to the fourth pin of the integrated circuit LM321.

5. The dental treatment device for detecting bad breath according to claim 4, characterized in that: The threshold is preset by defining the dynamic error of the system as ±E1, the estimated residual as ±E2, and the preset fault judgment threshold V=2(|E1|+|E2|).

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