A smart control system and method for an electric nasal irrigator

Abstract

This invention discloses an intelligent control system and method for an electric nasal irrigator, comprising: an acquisition module for acquiring user adjustment information; a control module for: performing type analysis on the adjustment information to determine its type; sending the adjustment information to a temperature control module when the type is determined to be a first type; sending the adjustment information to a water volume control module when the type is determined to be a second type; and sending the adjustment information to both the temperature control module and the water volume control module when the type is determined to be a third type; and a rinsing module for rinsing the user's nostrils. The intelligent sensing of the user's intent facilitates intelligent control by the user, enabling temperature and water volume adjustment, improving the quality of nasal cleaning, and thus enhancing the user experience.

Description

Technical Field

[0001] This invention relates to the field of rinsing control technology, and in particular to an intelligent control system and method for an electric nasal irrigator. Background Technology

[0002] Currently, due to air pollution, the incidence of diseases such as rhinitis and sinusitis has increased. During the postoperative recovery process, since the surgical incision is usually located inside the nasal cavity, it is difficult to clean and requires the use of a nasal irrigator to clean the nasal cavity.

[0003] However, current nasal irrigators cannot intelligently sense the user's intentions, are not easy for users to control intelligently, and lack temperature and water volume regulation, which reduces the quality of nasal cleaning and the user experience. Existing nasal irrigators cannot meet the needs of modern users. Summary of the Invention

[0004] The present invention aims to at least partially solve one of the technical problems in the aforementioned technologies. Therefore, the first objective of the present invention is to propose an intelligent control system for an electric nasal irrigator that intelligently senses the user's intentions, facilitating intelligent control by the user, enabling temperature and water volume adjustment, improving the quality of nasal cleaning, and thus enhancing the user experience.

[0005] The second objective of this invention is to provide an intelligent control method for an electric nasal irrigator.

[0006] To achieve the above objectives, a first aspect of the present invention provides an intelligent control system for an electric nasal irrigator, comprising:

[0007] The acquisition module is used to acquire the user's adjustment information;

[0008] The control module is used for:

[0009] Perform type analysis on the regulation information to determine its type;

[0010] When the type of adjustment information is determined to be the first type, the adjustment information is sent to the temperature control module;

[0011] When the type of adjustment information is determined to be the second type, the adjustment information is sent to the water volume adjustment module;

[0012] When the type of adjustment information is determined to be the third type, the adjustment information is sent to the temperature adjustment module and the water volume adjustment module;

[0013] The rinsing module is used to rinse the user's nostrils after the temperature and / or water volume have been adjusted by the temperature and / or water volume adjustment modules.

[0014] According to some embodiments of the present invention, the acquisition module includes:

[0015] The segmentation module is used for:

[0016] Collect the user's voice signal, perform voice analysis, and determine several frame nodes in the voice signal;

[0017] Signal segmentation is performed based on several frame nodes to obtain several sub-speech signals;

[0018] The recognition module is used for:

[0019] Phoneme identification is performed on several sub-speech signals to determine the individual phonemes included in each sub-speech signal;

[0020] The word corresponding to each phoneme is retrieved from the preset phoneme table and concatenated to obtain the sub-speech text corresponding to each sub-speech signal;

[0021] The proportion coefficient of non-keywords in the sub-speech text is identified. When the proportion coefficient is greater than a preset threshold, the sub-speech text is determined to be irrelevant text and is removed. The remaining sub-speech text is then concatenated to obtain the adjustment information.

[0022] According to some embodiments of the present invention, the control module includes:

[0023] The extraction module is used to extract features from the adjustment information and determine keywords;

[0024] The determination module is used for:

[0025] Obtain the feature vector of the keyword, match the feature vector with the first preset feature vector and the second preset feature vector respectively, determine the matching degree and compare it with the preset matching degree threshold;

[0026] The type of adjustment information is determined based on the preset feature vectors whose matching degree is greater than the preset matching degree threshold.

[0027] According to some embodiments of the present invention, a detection module is further included, for:

[0028] After the rinsing module finishes rinsing the user's nostrils, it emits a laser beam to irradiate the water droplets adhering to the inner wall of the nostrils.

[0029] Several beams of light were obtained by collecting the scattering of a laser beam by water droplets adhering to the inner wall of the nostrils.

[0030] Analyze the scattering angle of each beam and determine whether it is within the first preset threshold range;

[0031] Analyze the wavelength of each beam and determine whether it falls within the second preset threshold range;

[0032] Beams whose scattering angle is not within the first preset threshold range and whose wavelength is not within the second preset threshold range are selected as target beams;

[0033] Calculate the ratio of the number of target beams to the number of beams in a given number of beams. If the ratio is greater than a preset ratio, send a "re-rinse" message to the rinsing module.

[0034] According to some embodiments of the present invention, it further includes:

[0035] The data acquisition module is used to collect operational data during the operation of the flushing module.

[0036] The data cleaning module is used for:

[0037] Iterate through the running data and collect the attribute information for each piece of running data;

[0038] Based on the attribute information, extract the corresponding data cleaning rules, and clean the corresponding running data according to the data cleaning rules to obtain corrected running data;

[0039] The alarm module is used to analyze the working status of the flushing module based on the corrected operating data, determine whether there is any abnormality, and issue an alarm prompt when an abnormality is determined.

[0040] According to some embodiments of the present invention, it further includes:

[0041] The photosensitive module is used to sense the ambient light level before the rinsing module rinses the user's nostrils;

[0042] The settings module is used to set experimental data tables for the length of the flushing module entering the user's nostrils and the attenuation of the sensor brightness;

[0043] The photosensitive module is used to collect the photosensitive signal of the flushing module entering the user's nostrils;

[0044] The signal processing module is used to acquire the spectral energy of the photosensitive signal, query a preset data table based on the spectral energy to determine the filtering coefficient, and perform filtering processing on the photosensitive signal based on the filtering coefficient to obtain a filtered signal and obtain the second ambient light brightness.

[0045] Adjustment module, used for:

[0046] Calculate the difference between the first ambient light intensity and the second ambient light intensity, and obtain the target length by querying the experimental data table based on the difference;

[0047] The system queries the preset length-flushing power data table based on the target length to determine the target flushing power, and then sends it to the water volume adjustment module.

[0048] According to some embodiments of the present invention, it further includes:

[0049] The storage module is used to store the indicator database of the rinsing personnel. The indicator database stores several records and the corresponding rinsing water temperature for each record. Each record includes n physical characteristic indicators of the rinsing personnel, which form a feature matrix.

[0050] The comparison module is used for:

[0051] The physical characteristic indicators of the washing personnel included in each record in the feature matrix are calculated to determine a calculation model for a comprehensive feature value;

[0052] Obtain n physical characteristic indicators of the person to be rinsed, and calculate the actual comprehensive characteristic value based on the calculation model;

[0053] The actual comprehensive feature value is compared with the comprehensive feature value corresponding to each record in the feature matrix. The record with the smallest difference is determined as the rinsing water temperature for the person to be rinsed and sent to the temperature control module.

[0054] To achieve the above objectives, a second aspect of the present invention provides an intelligent control method for an electric nasal irrigator, comprising:

[0055] Obtain user adjustment information;

[0056] Perform type analysis on the regulation information to determine its type;

[0057] When the type of adjustment information is determined to be the first type, the adjustment information is sent to the temperature control module;

[0058] When the type of adjustment information is determined to be the second type, the adjustment information is sent to the water volume adjustment module;

[0059] When the type of adjustment information is determined to be the third type, the adjustment information is sent to the temperature adjustment module and the water volume adjustment module;

[0060] After the temperature and / or water volume are adjusted by the temperature control module and / or water volume control module, the rinsing module rinses the user's nostrils.

[0061] According to some embodiments of the present invention, it further includes:

[0062] The rinsing module senses the ambient light level before rinsing the user's nostrils.

[0063] Experimental data table showing the length of the flushing module entering the user's nostril and the attenuation of sensor brightness.

[0064] The light-sensitive signal from the rinsing module entering the user's nostrils is collected;

[0065] The spectral energy of the photosensitive signal is obtained, and a filter coefficient is determined by querying a preset data table based on the spectral energy. The photosensitive signal is then filtered based on the filter coefficient to obtain a filtered signal, and the second ambient light intensity is obtained.

[0066] Calculate the difference between the first ambient light intensity and the second ambient light intensity, and obtain the target length by querying the experimental data table based on the difference;

[0067] The system queries the preset length-flushing power data table based on the target length to determine the target flushing power, and then sends it to the water volume adjustment module.

[0068] According to some embodiments of the present invention, it further includes:

[0069] A database of indicators for rinsing personnel is stored. The database contains several records and the corresponding rinsing water temperature for each record. Each record includes n physical characteristic indicators of the rinsing personnel, forming a feature matrix.

[0070] The physical characteristic indicators of the washing personnel included in each record in the feature matrix are calculated to determine a calculation model for a comprehensive feature value;

[0071] Obtain n physical characteristic indicators of the person to be rinsed, and calculate the actual comprehensive characteristic value based on the calculation model;

[0072] The actual comprehensive feature value is compared with the comprehensive feature value corresponding to each record in the feature matrix. The record with the smallest difference is determined as the rinsing water temperature for the person to be rinsed and sent to the temperature control module.

[0073] This invention proposes an intelligent control system and method for an electric nasal irrigator. The system intelligently senses the user's intentions, enabling the user to perform intelligent control, including temperature and water volume adjustment, thereby improving the quality of nasal cleaning and enhancing the user experience.

[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 block diagram of an intelligent control system for an electric nasal irrigator according to an embodiment of the present invention;

[0078] Figure 2 This is a schematic diagram of the structure of an electric nasal irrigator according to an embodiment of the present invention;

[0079] Figure 3 This is a flowchart of an intelligent control method for an electric nasal irrigator according to an embodiment of the present invention.

[0080] Figure label:

[0081] 1. Nozzle; 2. Spray pipe; 3. Switch button; 4. Mode indicator light; 5. Water tank; 6. Mode button; 7. Control system. Detailed Implementation

[0082] 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.

[0083] like Figure 1 As shown, a first aspect of the present invention provides an intelligent control system for an electric nasal irrigator, comprising:

[0084] The acquisition module is used to acquire the user's adjustment information;

[0085] The control module is used for:

[0086] Perform type analysis on the regulation information to determine its type;

[0087] When the type of adjustment information is determined to be the first type, the adjustment information is sent to the temperature control module;

[0088] When the type of adjustment information is determined to be the second type, the adjustment information is sent to the water volume adjustment module;

[0089] When the type of adjustment information is determined to be the third type, the adjustment information is sent to the temperature adjustment module and the water volume adjustment module;

[0090] The rinsing module is used to rinse the user's nostrils after the temperature and / or water volume have been adjusted by the temperature and / or water volume adjustment modules.

[0091] like Figure 2As shown, the electric nasal irrigator includes a nozzle 1, a spray tube 2, a power switch 3, a mode indicator light 4, a water tank 5, a mode button 6, and a control system 7. After connecting the power, turn on the power switch and select a suitable mode (relatively soothing mode, standard mode, gentle pulse mode, and deep pulse mode). At this time, rinsing fluid will spray from the nozzle. Lean over the rinsing tank and slowly aim the nozzle at your nostrils to rinse your nasal cavity. Rinse one nostril at a time, allowing the water to flow back out of the other nostril.

[0092] The working principle of the above technical solution: In this embodiment, the adjustment information includes voice text or gesture information that includes the adjustment intention (temperature adjustment intention, water volume adjustment intention).

[0093] In this embodiment, the adjustment information is analyzed to determine its type, so that the adjustment information can be sent to the corresponding adjustment module for appropriate adjustment operations.

[0094] In this embodiment, the first type is a single temperature regulation. The second type is a single water volume regulation. The third type is a mixture that includes both temperature regulation and water volume regulation.

[0095] The beneficial effects of the above technical solution are: intelligent perception of the user's intentions, which facilitates intelligent control by the user, realizes temperature and water volume adjustment, improves the cleaning quality of the nasal cavity, and thus improves the user experience.

[0096] In one embodiment, the temperature control module includes a temperature sensor, a heat transfer aluminum tube, and a heating element. The heating element is disposed around the heat transfer aluminum tube, and heats the heat transfer aluminum tube, which then transfers heat to the liquid passing through it, thereby achieving heating.

[0097] The water volume regulation module includes a water pump. By adjusting the power supply, the pumping rate is adjusted, thereby regulating the water volume. The water volume regulation module includes a soothing mode, a standard mode, a gentle pulse mode, and a deep pulse mode.

[0098] According to some embodiments of the present invention, the acquisition module includes:

[0099] The segmentation module is used for:

[0100] Collect the user's voice signal, perform voice analysis, and determine several frame nodes in the voice signal;

[0101] Signal segmentation is performed based on several frame nodes to obtain several sub-speech signals;

[0102] The recognition module is used for:

[0103] Phoneme identification is performed on several sub-speech signals to determine the individual phonemes included in each sub-speech signal;

[0104] The word corresponding to each phoneme is retrieved from the preset phoneme table and concatenated to obtain the sub-speech text corresponding to each sub-speech signal;

[0105] The proportion coefficient of non-keywords in the sub-speech text is identified. When the proportion coefficient is greater than a preset threshold, the sub-speech text is determined to be irrelevant text and is removed. The remaining sub-speech text is then concatenated to obtain the adjustment information.

[0106] The working principle of the above technical solution is as follows: The segmentation module is used to collect the user's voice signal and perform voice analysis to determine several frame nodes in the voice signal; based on the several frame nodes, the signal is segmented to obtain several sub-voice signals; the recognition module is used to: perform phoneme recognition on the several sub-voice signals respectively to determine each phoneme included in each sub-voice signal; query the word corresponding to each phoneme from the preset phoneme table and concatenate them to obtain the sub-voice text corresponding to each sub-voice signal; so as to accurately determine the sub-voice text corresponding to each sub-voice signal.

[0107] In this embodiment, non-keywords are modal particles, redundant words, and words without substantial semantic meaning. The proportion coefficient of non-keywords in the sub-speech text is identified. When the proportion coefficient exceeds a preset threshold, the sub-speech text is determined to be irrelevant and removed. The remaining sub-speech text is then concatenated to obtain the adjustment information. This facilitates the simplification of speech text, removes irrelevant content, and improves the effectiveness of the adjustment information.

[0108] The beneficial effects of the above technical solution are: to collect the user's voice signal, to simplify the voice text, to remove some irrelevant content, to improve the effectiveness of adjustment information, and to facilitate the user's voice control.

[0109] According to some embodiments of the present invention, the control module includes:

[0110] The extraction module is used to extract features from the adjustment information and determine keywords;

[0111] The determination module is used for:

[0112] Obtain the feature vector of the keyword, match the feature vector with the first preset feature vector and the second preset feature vector respectively, determine the matching degree and compare it with the preset matching degree threshold;

[0113] The type of adjustment information is determined based on the preset feature vectors whose matching degree is greater than the preset matching degree threshold.

[0114] The working principle of the above technical solution is as follows: In this embodiment, the first feature vector is the feature vector corresponding to "temperature". The second feature vector is the feature vector corresponding to "water volume".

[0115] Calculate the matching degree S between the feature vector and the preset first feature vector:

[0116]

[0117] Where, x i y is the i-th eigencomponent of the eigenvector; i Let be the i-th feature component of the preset first feature vector; n is the number of feature components of the feature vector, which is also the number of feature components of the preset first feature vector, and the number of feature components of the feature vector is equal to the number of feature components of the preset first feature vector. Feature components include the number of characters, character semantics, etc.

[0118] The beneficial effects of the above technical solution are as follows: The determining module is used to: obtain the feature vector of the keyword; match the feature vector with a preset first feature vector and a second preset feature vector respectively; determine the matching degree and compare it with a preset matching degree threshold; and determine the type of adjustment information based on the preset feature vectors whose matching degree is greater than the preset matching degree threshold. When the matching degree between the feature vector and the preset first feature vector is greater than the preset matching degree threshold, it is represented as the first type. When the matching degree between the feature vector and the preset second feature vector is greater than the preset matching degree threshold, it is represented as the second type. When the matching degree between the feature vector and the preset first feature vector is greater than the preset matching degree threshold and the matching degree between the feature vector and the preset second feature vector is greater than the preset matching degree threshold, it is represented as the third type. This facilitates accurate determination of the type of adjustment information.

[0119] According to some embodiments of the present invention, a detection module is further included, for:

[0120] After the rinsing module finishes rinsing the user's nostrils, it emits a laser beam to irradiate the water droplets adhering to the inner wall of the nostrils.

[0121] Several beams of light were obtained by collecting the scattering of a laser beam by water droplets adhering to the inner wall of the nostrils.

[0122] Analyze the scattering angle of each beam and determine whether it is within the first preset threshold range;

[0123] Analyze the wavelength of each beam and determine whether it falls within the second preset threshold range;

[0124] Beams whose scattering angle is not within the first preset threshold range and whose wavelength is not within the second preset threshold range are selected as target beams;

[0125] Calculate the ratio of the number of target beams to the number of beams in a given number of beams. If the ratio is greater than a preset ratio, send a "re-rinse" message to the rinsing module.

[0126] The working principle and beneficial effects of the above technical solution are as follows: The detection module is used to: after the rinsing module has finished rinsing the user's nostrils, emit a laser beam to irradiate the water droplets adhering to the inner wall of the nostrils; collect several beams obtained by the scattering of the laser beam by the water droplets adhering to the inner wall of the nostrils; analyze the scattering angle of each beam and determine whether it is within a first preset threshold range; analyze the wavelength of each beam and determine whether it is within a second preset threshold range; the first and second preset threshold ranges are obtained experimentally under the adjustment of the water droplets adhering to the inner wall of the nostrils to meet the clarity requirements. Beams whose scattering angle is not within the first preset threshold range and whose wavelength is not within the second preset threshold range are selected as target beams; calculate the ratio of the number of target beams to the number of several beams, and when the ratio is determined to be greater than the preset ratio, send "rinse again" to the rinsing module. After the rinsing module completes the first rinse, it detects the rinsing effect, and if it determines that the inner wall of the nostrils is not clean, it rinses again.

[0127] According to some embodiments of the present invention, it further includes:

[0128] The data acquisition module is used to collect operational data during the operation of the flushing module.

[0129] The data cleaning module is used for:

[0130] Iterate through the running data and collect the attribute information for each piece of running data;

[0131] Based on the attribute information, extract the corresponding data cleaning rules, and clean the corresponding running data according to the data cleaning rules to obtain corrected running data;

[0132] The alarm module is used to analyze the working status of the flushing module based on the corrected operating data, determine whether there is any abnormality, and issue an alarm prompt when an abnormality is determined.

[0133] The working principle and beneficial effects of the above technical solution are as follows: A data acquisition module collects operational data from the flushing module; a data cleaning module iterates through the operational data, processing the attribute information of each data point; extracts corresponding data cleaning rules based on the attribute information, and cleans the corresponding operational data according to these rules to obtain corrected operational data; an alarm module analyzes the operation of the flushing module based on the corrected operational data, determines whether any abnormalities exist, and issues an alarm when an abnormality is detected. By determining corresponding data cleaning rules based on the different attribute information of each data point, and cleaning the corresponding operational data according to these rules to obtain corrected operational data, the accuracy of the operational data is improved, facilitating accurate data analysis, determining whether the flushing module is malfunctioning, and improving the timeliness of maintenance.

[0134] According to some embodiments of the present invention, it further includes:

[0135] The photosensitive module is used to sense the ambient light level before the rinsing module rinses the user's nostrils;

[0136] The settings module is used to set experimental data tables for the length of the flushing module entering the user's nostrils and the attenuation of the sensor brightness;

[0137] The photosensitive module is used to collect the photosensitive signal of the flushing module entering the user's nostrils;

[0138] The signal processing module is used to acquire the spectral energy of the photosensitive signal, query a preset data table based on the spectral energy to determine the filtering coefficient, and perform filtering processing on the photosensitive signal based on the filtering coefficient to obtain a filtered signal and obtain the second ambient light brightness.

[0139] Adjustment module, used for:

[0140] Calculate the difference between the first ambient light intensity and the second ambient light intensity, and obtain the target length by querying the experimental data table based on the difference;

[0141] The system queries the preset length-flushing power data table based on the target length to determine the target flushing power, and then sends it to the water volume adjustment module.

[0142] The working principle and beneficial effects of the above technical solution are as follows: A photosensitive module is used to sense the initial ambient light intensity before the rinsing module rinses the user's nostrils; that is, to sense the ambient light intensity outside the nostrils. A setting module is used to set an experimental data table for the length of the rinsing module entering the user's nostrils and the attenuation of the sensed brightness; that is, a data table for the attenuation of the sensed brightness of the photosensitive module at the front end of the rinsing module as the user inserts the rinsing module into the nostrils. A photosensitive module is used to collect the photosensitive signal of the rinsing module entering the user's nostrils. A signal processing module is used to acquire the spectral energy of the photosensitive signal, determine the filtering coefficient based on the spectral energy by querying a preset data table, and filter the photosensitive signal according to the filtering coefficient to obtain a filtered signal, thus obtaining the second ambient light intensity; this facilitates the filtering of the photosensitive signal and improves the accuracy of the light sensed inside the nostrils. An adjustment module is used to calculate the difference between the first and second ambient light intensities, obtain the target length by querying the experimental data table based on the difference, and determine the target flushing power by querying a preset length-flushing power data table based on the target length, and send it to the water volume adjustment module. Based on the depth of the rinsing module inside the nostril, different water volume adjustment strategies are set. The deeper the rinsing module is inside the nostril, the smaller the water volume, which helps protect the user's nose, avoids user discomfort, and improves the user experience.

[0143] According to some embodiments of the present invention, it further includes:

[0144] The storage module is used to store the indicator database of the rinsing personnel. The indicator database stores several records and the corresponding rinsing water temperature for each record. Each record includes n physical characteristic indicators of the rinsing personnel, which form a feature matrix.

[0145] The comparison module is used for:

[0146] The physical characteristic indicators of the washing personnel included in each record in the feature matrix are calculated to determine a calculation model for a comprehensive feature value;

[0147] Obtain n physical characteristic indicators of the person to be rinsed, and calculate the actual comprehensive characteristic value based on the calculation model;

[0148] The actual comprehensive feature value is compared with the comprehensive feature value corresponding to each record in the feature matrix. The record with the smallest difference is determined as the rinsing water temperature for the person to be rinsed and sent to the temperature control module.

[0149] The working principle and beneficial effects of the above technical solution: In this embodiment, the rinsing water temperature corresponding to each record is a suitable rinsing water temperature determined based on n body characteristic indicators of the corresponding record, so as to avoid damage to the user's nostrils and also ensure the rinsing effect.

[0150] In this embodiment, each row of the feature matrix represents a record, and each column represents the value of a body feature index; the body feature index includes: the size and shape of the nostrils, the temperature inside the nostrils, the recovery status of the nasal lining, the frequency of inhalation and exhalation through the nostrils, etc.

[0151] In this embodiment, the physical characteristic indicators of the washing personnel included in each record of the feature matrix are calculated to determine a calculation model for calculating a comprehensive feature value, including:

[0152] Transform the feature matrix B into a normalized matrix B*;

[0153]

[0154] Among them, b st Let be the value in the t-th column of the S-th row of the characteristic matrix B. For b st Standardized value Let σ be the mean of the t-th column. t Let S be the variance of the t-th column, S = 1, 2, 3...j, where j is the number of records, and t = 1, 2, 3...n; based on all The standardized matrix B* is obtained;

[0155] Calculate the covariance between the indicators in the standardized matrix B* to form a new matrix C.

[0156]

[0157] in, Let B* be the covariance between the i-th and q-th columns of the standardized matrix B*, where i = 1, 2, 3, ..., n; q = 1, 2, 3, ..., n;

[0158] Find the eigenvalues ​​and eigenvectors of matrix C;

[0159] |C-λE|=0

[0160] Where C is the covariance matrix, E is the identity matrix, and the solved λ is the value of the eigenvector. Substituting the solved largest eigenvalue λ0 into the characteristic equation C-λ0E, we obtain the corresponding coefficient values ​​P, P=(p1,p2,…p n );

[0161] Determine the computational model:

[0162] Q = p1bb1 + p2bb2 + ... + p n bb n

[0163] Where Q is the calculation model, i.e., the comprehensive eigenvalue; bb i Let i be the value of the i-th indicator of the recorded body characteristic indicators, where i = 1, 2, 3...n.

[0164] In this embodiment, n physical characteristic indicators of the person to be rinsed are obtained and input into the calculation model to obtain the actual comprehensive characteristic value.

[0165] The actual comprehensive feature value is compared with the comprehensive feature value corresponding to each record in the feature matrix. The record with the smallest difference is determined as the flushing water temperature for the person to be flushed, and this temperature is sent to the temperature control module. This facilitates the automatic adjustment of the most suitable flushing water temperature based on the user's comprehensive feature value, thereby improving the flushing effect.

[0166] like Figure 3 As shown, a second aspect of the present invention provides an intelligent control method for an electric nasal irrigator, comprising steps S1-S3:

[0167] S1. Obtain the user's adjustment information;

[0168] S2. Perform type analysis on the regulation information to determine the type of regulation information;

[0169] When the type of adjustment information is determined to be the first type, the adjustment information is sent to the temperature control module;

[0170] When the type of adjustment information is determined to be the second type, the adjustment information is sent to the water volume adjustment module;

[0171] When the type of adjustment information is determined to be the third type, the adjustment information is sent to the temperature adjustment module and the water volume adjustment module;

[0172] S3. After the temperature adjustment module and / or water volume adjustment module have been adjusted, the rinsing module rinses the user's nostrils.

[0173] The working principle of the above technical solution: In this embodiment, the adjustment information includes voice text or gesture information that includes the adjustment intention (temperature adjustment intention, water volume adjustment intention).

[0174] In this embodiment, the adjustment information is analyzed to determine its type, so that the adjustment information can be sent to the corresponding adjustment module for appropriate adjustment operations.

[0175] In this embodiment, the first type is a single temperature regulation. The second type is a single water volume regulation. The third type is a mixture that includes both temperature regulation and water volume regulation.

[0176] The beneficial effects of the above technical solution are: intelligent perception of the user's intentions, which facilitates intelligent control by the user, realizes temperature and water volume adjustment, improves the cleaning quality of the nasal cavity, and thus improves the user experience.

[0177] According to some embodiments of the present invention, it further includes:

[0178] The rinsing module senses the ambient light level before rinsing the user's nostrils.

[0179] Experimental data table showing the length of the flushing module entering the user's nostril and the attenuation of sensor brightness.

[0180] The light-sensitive signal from the rinsing module entering the user's nostrils is collected;

[0181] The spectral energy of the photosensitive signal is obtained, and a filter coefficient is determined by querying a preset data table based on the spectral energy. The photosensitive signal is then filtered based on the filter coefficient to obtain a filtered signal, and the second ambient light intensity is obtained.

[0182] Calculate the difference between the first ambient light intensity and the second ambient light intensity, and obtain the target length by querying the experimental data table based on the difference;

[0183] The system queries the preset length-flushing power data table based on the target length to determine the target flushing power, and then sends it to the water volume adjustment module.

[0184] The beneficial effects of the above technical solution are as follows: Based on the depth of the rinsing module inside the nostril, different water volume adjustment strategies are set. The deeper the module is inserted, the smaller the water volume, which helps protect the user's nose, avoids user discomfort, and improves the user experience.

[0185] According to some embodiments of the present invention, it further includes:

[0186] A database of indicators for rinsing personnel is stored. The database contains several records and the corresponding rinsing water temperature for each record. Each record includes n physical characteristic indicators of the rinsing personnel, forming a feature matrix.

[0187] The physical characteristic indicators of the washing personnel included in each record in the feature matrix are calculated to determine a calculation model for a comprehensive feature value;

[0188] Obtain n physical characteristic indicators of the person to be rinsed, and calculate the actual comprehensive characteristic value based on the calculation model;

[0189] The actual comprehensive feature value is compared with the comprehensive feature value corresponding to each record in the feature matrix. The record with the smallest difference is determined as the rinsing water temperature for the person to be rinsed and sent to the temperature control module.

[0190] The beneficial effects of the above technical solution are: it facilitates judgment based on the user's comprehensive characteristic values, automatically adjusts the most suitable rinsing water temperature, and improves the rinsing effect.

[0191] 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. An intelligent control system for an electric nasal irrigator, characterized in that, include: The acquisition module is used to acquire the user's adjustment information; The control module is used for: Perform type analysis on the regulation information to determine its type; When the type of adjustment information is determined to be the first type, the adjustment information is sent to the temperature control module; When the type of adjustment information is determined to be the second type, the adjustment information is sent to the water volume adjustment module; When the type of adjustment information is determined to be the third type, the adjustment information is sent to the temperature adjustment module and the water volume adjustment module; The rinsing module is used to rinse the user's nostrils after the temperature and / or water volume have been adjusted by the temperature and / or water volume adjustment modules. It also includes a detection module, used for: After the rinsing module finishes rinsing the user's nostrils, it emits a laser beam to irradiate the water droplets adhering to the inner wall of the nostrils. Several beams of light were obtained by collecting the scattering of a laser beam by water droplets adhering to the inner wall of the nostrils. Analyze the scattering angle of each beam and determine whether it is within the first preset threshold range; Analyze the wavelength of each beam and determine whether it falls within the second preset threshold range; Beams whose scattering angle is not within the first preset threshold range and whose wavelength is not within the second preset threshold range are selected as target beams; Calculate the ratio of the number of target beams to the number of beams in a given number of beams. If the ratio is greater than a preset ratio, send a "flush again" message to the flushing module.

2. The intelligent control system for an electric nasal irrigator as described in claim 1, characterized in that, The acquisition module includes: The segmentation module is used for: Collect the user's voice signal, perform voice analysis, and determine several frame nodes in the voice signal; Signal segmentation is performed based on several frame nodes to obtain several sub-speech signals; The recognition module is used for: Phoneme identification is performed on several sub-speech signals to determine the individual phonemes included in each sub-speech signal; The word corresponding to each phoneme is retrieved from the preset phoneme table and concatenated to obtain the sub-speech text corresponding to each sub-speech signal; The proportion coefficient of non-keywords in the sub-speech text is identified. When the proportion coefficient is greater than a preset threshold, the sub-speech text is determined to be irrelevant text and is removed. The remaining sub-speech text is then concatenated to obtain the adjustment information.

3. The intelligent control system for an electric nasal irrigator as described in claim 2, characterized in that, The control module includes: The extraction module is used to extract features from the adjustment information and determine keywords; The determination module is used for: Obtain the feature vector of the keyword, match the feature vector with the first preset feature vector and the second preset feature vector respectively, determine the matching degree and compare it with the preset matching degree threshold; The type of adjustment information is determined based on the preset feature vectors whose matching degree is greater than the preset matching degree threshold.

4. The intelligent control system for an electric nasal irrigator as described in claim 1, characterized in that, Also includes: The data acquisition module is used to collect operational data during the operation of the flushing module. The data cleaning module is used for: Iterate through the running data and collect the attribute information for each piece of running data; Based on the attribute information, extract the corresponding data cleaning rules, and clean the corresponding running data according to the data cleaning rules to obtain corrected running data; The alarm module is used to analyze the working status of the flushing module based on the corrected operating data, determine whether there is any abnormality, and issue an alarm prompt when an abnormality is determined.

5. The intelligent control system for an electric nasal irrigator as described in claim 1, characterized in that, Also includes: The photosensitive module is used to sense the ambient light level before the rinsing module rinses the user's nostrils; The settings module is used to set experimental data tables for the length of the flushing module entering the user's nostrils and the attenuation of the sensor brightness; The photosensitive module is used to collect the photosensitive signal of the flushing module entering the user's nostrils; The signal processing module is used to acquire the spectral energy of the photosensitive signal, query a preset data table based on the spectral energy to determine the filtering coefficient, and perform filtering processing on the photosensitive signal based on the filtering coefficient to obtain a filtered signal and obtain the second ambient light brightness. Adjustment module, used for: Calculate the difference between the first ambient light intensity and the second ambient light intensity, and obtain the target length by querying the experimental data table based on the difference; The system queries the preset length-flushing power data table based on the target length to determine the target flushing power, and then sends it to the water volume adjustment module.

6. The intelligent control system for an electric nasal irrigator as described in claim 1, characterized in that, Also includes: The storage module is used to store the indicator database of the rinsing personnel. The indicator database stores several records and the corresponding rinsing water temperature for each record. Each record includes n physical characteristic indicators of the rinsing personnel, which form a feature matrix. The comparison module is used for: The physical characteristic indicators of the washing personnel included in each record in the feature matrix are calculated to determine a calculation model for a comprehensive feature value; Obtain n physical characteristic indicators of the person to be rinsed, and calculate the actual comprehensive characteristic value based on the calculation model; The actual comprehensive feature value is compared with the comprehensive feature value corresponding to each record in the feature matrix. The record with the smallest difference is determined as the rinsing water temperature for the person to be rinsed and sent to the temperature control module.

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