Control method of self-adaptive intelligent hair drier and self-adaptive intelligent hair drier

Abstract

The invention provides a control method of a self-adaptive intelligent hair drier and the self-adaptive intelligent hair drier, the control method is executed by the self-adaptive intelligent hair drier, the self-adaptive intelligent hair drier comprises a user identity information acquisition module, and the user identity information acquisition module is used for acquiring user identity information and sending the user identity information to the self-adaptive intelligent hair drier; the self-adaptive intelligent hair dryer further comprises a hair dryer body. The hair dryer body comprises a power module and a control circuit board connected with the power module, the hair dryer body is provided with a correction mode key, and the control circuit board is provided with a position tracking module and a gyroscope connected with the position tracking module. The blower main body is matched with user identity information acquisition, and different blowing modes can be intelligently selected in a self-adaptive manner according to different users, different use conditions and different use habits, so that the comfort of the users can be ensured.

Description

Technical Field

[0001] The present invention relates to the field of household appliance control technology, and in particular to a control method for an adaptive intelligent hair dryer and an adaptive intelligent hair dryer. Background Art

[0002] A hair dryer is composed of a group of heating wires and a high-speed small fan. When powered on, the heating wires will generate heat, and the wind blown out by the fan will become hot air after passing through the heating wires. If only the small fan rotates but the heating wires are not hot, then the wind blown out is just wind but not heat. However, hair dryers in the prior art are all conventional blowers and cannot perform intelligent analysis based on the different usage habits of different users.

[0003] In addition, hair dryers are mainly electrical appliances used for hair drying and shaping. Traditional hair dryers only use mechanical devices to control wind speed and heating wire wattage, and do not detect and feedback the temperature of air flow and hair temperature. In addition, the intelligent control of some hair dryers only senses the temperature and adjusts the temperature of the blown air, but does not conduct comprehensive analysis and control based on the humidity of the hair after the user washes the hair. However, the humidity of hair of different users is different in different environments. How to improve the blowing experience of different users is also a competitive point for hair dryers.

[0004] In recent years, major hair dryer manufacturers at home and abroad have proposed various products that can detect the airflow sent out by the hair dryer or the user's hair, and then use preset empirical values ​​to estimate the constant temperature control of the user's hair temperature, or further control the wattage of the heating wire based on hair temperature feedback. This has become a competitive point for high-end hair dryers. Summary of the invention

[0005] The embodiments of the present invention provide a control method of an adaptive smart hair dryer and an adaptive smart hair dryer, aiming to solve the problem that existing hair dryers cannot perform adaptive blowing adjustments for different users.

[0006] An embodiment of the present invention provides a control method for an adaptive intelligent hair dryer, the control method being executed by an adaptive intelligent hair dryer, the adaptive intelligent hair dryer comprising a hair dryer main body, the hair dryer main body comprising a power module and a blowing module connected to the power module, and a control circuit board, the control circuit board being provided with a controller for controlling the operation of the blowing module, a position tracking module connected to the controller, and a gyroscope connected to the position tracking module, the position tracking module comprising a time recording module; the control circuit board is further provided with a target temperature sensor and a target humidity sensor connected to the position tracking module, the target temperature sensor being used to detect a hair temperature corresponding to a blowing angle of the hair dryer main body, and the target humidity sensor being used to detect a hair humidity corresponding to a blowing angle of the hair dryer main body;

[0007] The gyroscope is used to periodically send the position information of the blowing angle of the hair dryer body to the position tracking module, and the position tracking module is also used to periodically match and record the position information of the blowing angle of the hair dryer body, time information, hair temperature, hair humidity and user identity information in a first period;

[0008] The method comprises the following steps:

[0009] The position tracking module determines the change of the blowing angle of the hair dryer main body, then queries the matching recorded position information of the hair dryer main body before and after the blowing angle changes, matches and records the position information of the hair dryer main body before the blowing angle changes, the blowing time period, the hair temperature change range, the hair humidity change range, the blowing intensity mode selected by the user, the blowing temperature mode selected by the user and the user identity information, and stores them as matching record data; the blowing time period is the difference between the earliest recorded time and the latest recorded time before the blowing angle of the hair dryer main body changes, the blowing temperature change range is the difference between the highest hair temperature and the lowest hair temperature before the blowing angle of the hair dryer main body changes; the blowing humidity change range is the difference between the maximum hair humidity and the minimum hair humidity before the blowing angle of the hair dryer main body changes;

[0010] The location tracking module queries the current user identity information;

[0011] The location tracking module searches for a matching record corresponding to the hair humidity variation range where the current hair humidity is located and the user identity information according to the current user identity information and the current hair humidity corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor, and obtains the blowing intensity mode selected by the user and the blowing temperature mode selected by the user in the corresponding matching record;

[0012] The controller controls the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record.

[0013] Optionally, after the position tracking module determines that the blowing angle of the hair dryer body changes, it further includes:

[0014] The location tracking module queries the current user identity information;

[0015] The location tracking module searches for a matching record corresponding to the hair humidity variation range where the current hair humidity is located, a matching record corresponding to the hair temperature variation range where the current hair temperature is located, and the user identity information according to the current user identity information and the current hair humidity and the current hair temperature corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor;

[0016] The location tracking module obtains the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record;

[0017] The controller controls the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user.

[0018] Optionally, the control circuit board is further provided with a correction temperature sensor and a correction humidity sensor connected to the position tracking module, the correction temperature sensor is used to detect the correction temperature corresponding to the blowing angle of the hair dryer main body, and the correction humidity sensor is used to detect the correction humidity corresponding to the blowing angle of the hair dryer main body; the sensitivity and accuracy of the correction temperature sensor are greater than the sensitivity and accuracy of the target temperature sensor, and the sensitivity and accuracy of the correction humidity sensor are greater than the sensitivity and accuracy of the target humidity sensor; the control circuit board is also provided with a correction temperature module and a correction humidity module connected to the position tracking module, the correction temperature module is used to detect and correct the temperature detection accuracy of the target temperature sensor, and the correction humidity module is used to detect and correct the humidity detection accuracy of the target humidity sensor;

[0019] The method further comprises:

[0020] The position tracking module simultaneously records the temperature values ​​and the temperature difference of the correction temperature sensor and the target temperature sensor when the adaptive intelligent hair dryer is in the correction mode; and the position tracking module simultaneously records the humidity values ​​and the humidity difference of the correction humidity sensor and the target humidity sensor when the adaptive intelligent hair dryer is in the correction mode;

[0021] When the temperature difference between the correction temperature sensor and the target temperature sensor is greater than the first temperature monitoring accuracy threshold, the correction temperature module performs statistical counting; when the statistical count value of the correction temperature module is higher than the temperature correction accuracy threshold, the alarm module performs a temperature adaptive fault alarm prompt; and,

[0022] When the humidity difference between the correction humidity sensor and the target humidity sensor is greater than the first humidity monitoring accuracy threshold, the correction humidity module performs statistical counting; when the statistical count value of the correction humidity module is higher than the humidity correction accuracy threshold, a humidity adaptive fault alarm prompt is issued through the alarm module.

[0023] Optionally, when the adaptive intelligent hair dryer is in the correction mode, the position tracking module simultaneously records the temperature value and the temperature difference of the correction temperature sensor and the target temperature sensor; and before the position tracking module simultaneously records the humidity value and the humidity difference of the correction humidity sensor and the target humidity sensor when the adaptive intelligent hair dryer is in the correction mode, the position tracking module further includes:

[0024] When the position tracking module receives an instruction after the correction mode button is started, the adaptive smart hair dryer is in the correction mode; or, when the adaptive smart hair dryer is in the blowing mode, it enters the correction mode at the same time.

[0025] Optionally, when the position tracking module is in the correction mode, the numerical value and the difference of the correction temperature sensor and the target temperature sensor are periodically recorded at the same time in a second period; and, when the position tracking module is in the correction mode, the numerical value and the difference of the correction humidity sensor and the target humidity sensor are periodically recorded at the same time in a third period; the second period and the third period are the same or different.

[0026] Optionally, when the position tracking module receives an instruction to end the correction mode button operation, the adaptive smart hair dryer turns off the correction mode; or, after the adaptive smart hair dryer receives a voice instruction to end the correction mode, the position tracking module ends the correction mode according to the voice instruction to end the correction mode.

[0027] Optionally, the correction humidity sensor and the target humidity sensor are an integrated detachable humidity sensing module; the correction temperature sensor and the target temperature sensor are an integrated detachable temperature sensing module;

[0028] The correction temperature module counts the number of temperature adaptation fault alarm prompts, and when the number of temperature adaptation fault alarm prompts is greater than a preset temperature adaptation fault alarm threshold, a prompt is given to replace the integrated temperature sensing detachable module;

[0029] Furthermore, the correction humidity module counts the number of humidity self-adaptation fault alarm prompts, and when the number of humidity self-adaptation fault alarm prompts is greater than a preset humidity self-adaptation fault alarm threshold, it prompts to replace the integrated humidity sensor detachable module.

[0030] Optionally, the user identity information collection module includes a voice collection module, and the voice collection module is used to collect identity information input by user voice as the user identity information.

[0031] Optionally, the user identity information collection module includes a fingerprint recognition module, and the fingerprint recognition module is used to collect user fingerprint identity information as the user identity information;

[0032] The fingerprint recognition module includes a fingerprint collector, and the fingerprint collector is arranged on the outer surface of the hair dryer body.

[0033] An embodiment of the present invention further provides an adaptive intelligent hair dryer, comprising a hair dryer main body, the hair dryer main body comprising a power module and a blowing module connected to the power module, and a control circuit board, the control circuit board being provided with a controller for controlling the operation of the blowing module, a position tracking module connected to the controller, and a gyroscope connected to the position tracking module, the position tracking module comprising a time recording module; the control circuit board is further provided with a target temperature sensor and a target humidity sensor connected to the position tracking module, the target temperature sensor being used to detect the hair temperature corresponding to the blowing angle of the hair dryer main body, and the target humidity sensor being used to detect the hair humidity corresponding to the blowing angle of the hair dryer main body;

[0034] The gyroscope is used to periodically send the position information of the blowing angle of the hair dryer body to the position tracking module, and the position tracking module is also used to periodically match and record the position information of the blowing angle of the hair dryer body, time information, hair temperature, hair humidity and user identity information in a first period;

[0035] The position tracking module is used to determine the change of the blowing angle of the hair dryer main body, and then query the matching recorded position information of the hair dryer main body before and after the blowing angle changes, match and record the position information of the hair dryer main body before the blowing angle changes, the blowing time period, the hair temperature change range, the hair humidity change range, the blowing intensity mode selected by the user, the blowing temperature mode selected by the user and the user identity information, and store them as matching record data; the blowing time period is the difference between the earliest recorded time and the latest recorded time before the blowing angle of the hair dryer main body changes, the blowing temperature change range is the difference between the highest hair temperature and the lowest hair temperature before the blowing angle of the hair dryer main body changes; the blowing humidity change range is the difference between the maximum hair humidity and the minimum hair humidity before the blowing angle of the hair dryer main body changes; query the current user identity information;

[0036] The location tracking module is further used to query the hair humidity variation range corresponding to the current hair humidity and the matching record corresponding to the user identity information according to the current user identity information and the current hair humidity corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor, and obtain the blowing intensity mode selected by the user and the blowing temperature mode selected by the user in the corresponding matching record;

[0037] The controller is further used to control the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record.

[0038] The present invention provides a control method of an adaptive intelligent hair dryer and an adaptive intelligent hair dryer, wherein the control method is executed by an adaptive intelligent hair dryer, wherein the adaptive intelligent hair dryer comprises a user identity information collection module, wherein the user identity information collection module is used to collect user identity information, and wherein the adaptive intelligent hair dryer further comprises a hair dryer body; the hair dryer body comprises a power module and a control circuit board connected to the power module, wherein the hair dryer body is provided with a correction mode button, and the control circuit board is provided with a position tracking module and a gyroscope connected to the position tracking module. Through the hair dryer body cooperating with the user identity information collection, different blowing modes can be adaptively and intelligently selected according to different users, different usage situations and different usage habits, thereby ensuring the comfort of the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 It is a structural schematic diagram of an adaptive intelligent hair dryer provided in an embodiment of the present invention.

[0041] Figure 2 This is a flow chart of a control method for an adaptive intelligent hair dryer provided in an embodiment of the present invention.

[0042] Figure 3 This is a flow chart of another control method of an adaptive intelligent hair dryer provided in an embodiment of the present invention.

[0043] Figure 4 Another control method process of an adaptive intelligent hair dryer provided in an embodiment of the present invention.

[0044] Figure 5 This is a diagram of the external structure of a hair dryer provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] like Figure 1 As shown, Figure 1 : is a structural schematic diagram of an adaptive intelligent hair dryer provided by an embodiment of the present invention. The adaptive intelligent hair dryer includes a hair dryer body 1, and the hair dryer body 1 includes a power module 2 and a control circuit board 3 connected to the power module 2, and a blowing module. The control circuit board 3 is provided with a controller 4 that controls the operation of the blowing module, a position tracking module 5 connected to the controller 4, and a gyroscope 6 connected to the position tracking module 5, and the position tracking module 5 includes a time recording module; the control circuit board 3 is also provided with a target temperature sensor 301 and a target humidity sensor 302 connected to the position tracking module 5. The control circuit board 3 is also provided with a correction temperature sensor 303 and a correction humidity sensor 304 connected to the position tracking module 5. The target temperature sensor 301 is used to detect the hair temperature corresponding to the blowing angle of the hair dryer body, and the target humidity sensor 302 is used to detect the hair humidity corresponding to the blowing angle of the hair dryer body. The correction temperature sensor 303 is used to detect the correction temperature corresponding to the blowing angle of the hair dryer body, and the correction humidity sensor 304 is used to detect the correction humidity corresponding to the blowing angle of the hair dryer body. The sensitivity and accuracy of the correction temperature sensor 303 are greater than those of the target temperature sensor 301 , and the sensitivity and accuracy of the correction humidity sensor 304 are greater than those of the target humidity sensor 302 .

[0047] The gyroscope 6 is used to periodically send the position information of the blowing angle of the hair dryer body to the position tracking module 5, and the position tracking module 5 is also used to periodically match and record the position information, time information, hair temperature, hair humidity and user identity information of the blowing angle of the hair dryer body in a first period.

[0048] In this embodiment, the gyroscope 6 can be implemented using a three-axis acceleration sensor and an angular velocity measuring device. The real-time posture of the hair dryer is calculated through a data fusion algorithm, and data is periodically collected according to an adjustable sampling frequency. The data is sent to the position tracking module using a wireless transmission module. The data information transmitted to the position tracking module 5 includes a high-precision hair dryer posture data stream with temperature compensation and anti-interference processing.

[0049] The blowing module includes a fan, a motor for driving the fan, and a heating module. Figure 1 As shown, the top of the hair dryer body 1 is connected to a motor 7, the power end of the motor 7 is connected to a fan structure 8, and the top of the hair dryer body 1 is connected to a plurality of electric heating wires 9. The internal structure of the hair dryer is not limited by the drawings of this embodiment when the blowing module is implemented. In other embodiments, the heating module can be implemented by graphene material.

[0050] Optionally, the control circuit board 3 is further provided with a Bluetooth signal transmission module 10 connected to the power module 2. The Bluetooth signal transmission module is used to transmit matching recorded information and data with the terminal communication device, so that the user or maintenance personnel can check the data or the user can set the blowing mode of the hair dryer at the remote offline end.

[0051] like Figure 2 As shown, Figure 2 This is a flow chart of a control method of an adaptive intelligent hair dryer provided by an embodiment of the present invention. The method comprises the following steps:

[0052] 210. When the position tracking module determines that the blowing angle of the hair dryer body has changed, the position information of the hair dryer body before and after the blowing angle has changed is queried for matching records, and the position information of the hair dryer body before the blowing angle has changed, the blowing time period, the hair temperature change range, the hair humidity change range, the blowing intensity mode selected by the user, the blowing temperature mode selected by the user and the user identity information are matched and stored as matching records.

[0053] After receiving the data sent by the gyroscope, the position tracking module compares the two sampling data before and after through the Kalman filter algorithm to determine whether the change amplitude of the hair dryer angle exceeds the preset threshold. If it exceeds, the scene recognition algorithm is triggered for analysis. The scene recognition algorithm is used to query the matching record of the position information of the hair dryer body before and after the change of the blowing angle, match the position information of the hair dryer body before the change of the blowing angle, the blowing time period, the hair temperature change range, the hair humidity change range, the user-selected blowing intensity mode, the user-selected blowing temperature mode and the user identity information, and store them as matching records.

[0054] Preferably, the scene recognition algorithm extracts historical usage records from the user habit database, including information such as blowing angle, duration and frequency in the past week, and uses the K-means clustering method to identify the user's typical blowing patterns in different scenarios.

[0055] The blowing time period is the difference between the earliest recorded time and the latest recorded time before the blowing angle of the hair dryer main body changes; the blowing temperature variation range is the difference between the highest hair temperature and the lowest hair temperature before the blowing angle of the hair dryer main body changes; the blowing humidity variation range is the difference between the maximum hair humidity and the minimum hair humidity before the blowing angle of the hair dryer main body changes.

[0056] 220. The location tracking module queries the current user identity information;

[0057] 230. The location tracking module queries the hair humidity variation range corresponding to the current hair humidity and the matching record corresponding to the user identity information based on the current user identity information and the current hair humidity corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor, and obtains the user-selected blowing intensity mode and the user-selected blowing temperature mode in the corresponding matching record.

[0058] Optionally, based on the identified typical patterns, the angle prediction model uses a long short-term memory network (LSTM) to predict the user's current blowing intention and output the expected blowing angle and duration; the comfort scoring system scores the predicted blowing angle according to ergonomic principles and hairstyle protection requirements, and optimizes the optimal angle adjustment plan through a genetic algorithm.

[0059] Optionally, based on the identified typical pattern, the angle prediction model uses a long short-term memory network (LSTM) to predict the user's current blowing intention and output the expected blowing angle and duration, including:

[0060] According to the position tracking module, the position information, time information, hair temperature and hair humidity of the blowing angle of the hair dryer body are periodically matched and recorded to construct the spatiotemporal sequence data of the user's blowing behavior;

[0061] The time series clustering algorithm is used to perform cluster analysis on the spatiotemporal series data of the user's blowing behavior, identify the user's typical blowing pattern, and obtain the combination pattern of different blowing angles and durations;

[0062]

[0063] The above N represents the total number of samples, S i represents the i-th spatiotemporal sequence sample, C krepresents the center sequence of the kth class, d represents the DTW distance between two sequences, and σ represents the standard deviation of the Gaussian kernel;

[0064] The typical blowing patterns of users are identified and trained through long short-term memory networks to establish a blowing angle prediction model based on user historical behaviors.

[0065] Obtain the current blowing angle information of the hair dryer body detected by the gyroscope in real time and determine its changing trend;

[0066] If the current blowing angle change trend is similar to the historical blowing pattern, it is input into the blowing angle prediction model;

[0067] The blowing angle prediction model predicts the user's next possible blowing angle and duration based on the current blowing angle change trend and the user's historical blowing pattern;

[0068] Obtain the hair temperature and humidity information detected by the target temperature and humidity sensor in real time to determine the dryness of the hair;

[0069] If the predicted blowing angle and duration may cause the hair temperature to be too high or the humidity to be too low, adjust the blowing angle and duration appropriately to ensure that the hair will not be damaged;

[0070] The predicted blowing angle and duration are output to the control circuit board.

[0071] This embodiment automatically adjusts the working mode of the hair dryer to intelligently adapt to the user's hair-drying habits while protecting the health of the hair.

[0072] 240. The controller controls the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record.

[0073] Optionally, the controller receives optimized angle adjustment instructions, and controls the body rotation mechanism through the motor control module according to the adaptive speed adjustment algorithm to achieve high-precision and low-noise angle adjustment; the multi-mode switching function dynamically adjusts the parameters of the angle prediction model according to different users and usage scenarios to adapt to different blowing habits and needs.

[0074] In this embodiment, based on the identified typical patterns, the angle prediction model uses a long short-term memory network (LSTM) to predict the user's current blowing intention and output the expected blowing angle and duration; the comfort scoring system scores the predicted blowing angle according to ergonomic principles and hairstyle protection requirements, and obtains the best angle adjustment plan through genetic algorithm optimization; the motor control module receives the optimized angle adjustment instruction, controls the body rotation mechanism according to the adaptive speed adjustment algorithm, and realizes high-precision and low-noise angle adjustment; the multi-mode switching function dynamically adjusts the parameters of the angle prediction model according to different users and usage scenarios to adapt to different blowing habits and needs.

[0075] Optionally, a personalized parameter setting interface is set up to allow the user to manually adjust the sensitivity, speed and range of the angle adjustment. The system records these settings and inputs them into the user habit database as feedback to continuously optimize the accuracy of the prediction model.

[0076] Optionally, the personalized parameter setting interface allows the user to manually adjust the sensitivity, speed and range of the angle adjustment. The system records these settings and inputs them into the user habit database as feedback to continuously optimize the accuracy of the prediction model, including:

[0077] Obtain the angle adjustment sensitivity, speed, range and other parameters manually adjusted by the user in the personalized parameter setting interface, and record these setting parameters;

[0078] According to the recorded user setting parameters, update the habit data of the corresponding user in the user habit database;

[0079] Train and optimize the prediction model through user habit data in the user habit database;

[0080] The position tracking module is used to periodically match and record the blowing angle position information, time information, blowing temperature and blowing humidity of the hair dryer body;

[0081] Determine whether the blowing angle of the hair dryer body has changed. If so, predict the user's blowing habits based on the optimized prediction model.

[0082] Obtain data such as the position information of the hair dryer body before and after the blowing angle changes, the blowing time period, the temperature and humidity change range of the hair, the blowing intensity and temperature mode selected by the user, etc.;

[0083] The acquired data is input into the optimized prediction model to obtain the blowing parameter settings that the user may choose for the next blowing angle;

[0084] Automatically adjust the working mode of the hair dryer according to the predicted user's blowing parameter settings, including blowing angle, wind speed and temperature;

[0085] If the user manually adjusts the blowing parameters in the personalized parameter setting interface again, return to the above steps, that is, re-obtain the angle adjustment sensitivity, speed and range and other parameters manually adjusted by the user in the personalized parameter setting interface, record these setting parameters, re-obtain and record the user's settings, and continuously optimize the prediction model.

[0086] Optionally, based on the above step 210, the method further includes:

[0087] The gyroscope adopts a three-axis acceleration sensor and an angular velocity measurement device, calculates the real-time posture of the hair dryer through a data fusion algorithm, periodically collects data according to an adjustable sampling frequency, and sends it to a position tracking module using a wireless transmission module, matching and recording a high-precision hair dryer posture data stream containing temperature compensation and anti-interference processing.

[0088] In the above step 210, the position tracking module receives the data sent by the gyroscope, compares the two sampling data before and after through the Kalman filter algorithm, and determines whether the change amplitude of the hair dryer angle exceeds the preset threshold. If it exceeds, the scene recognition algorithm is triggered for analysis, including:

[0089] The gyroscope periodically sends the position information of the blowing angle of the hair dryer body to the position tracking module;

[0090] The position tracking module uses the Kalman filter algorithm to compare the position information data of the two previous and subsequent samples; based on the comparison result of the Kalman filter algorithm, it is determined whether the change in the angle of the hair dryer exceeds a preset threshold.

[0091] If the angle change of the hair dryer exceeds a preset threshold, the scene recognition algorithm is triggered for analysis.

[0092] In this embodiment, the scene recognition algorithm is used to obtain the position information, time information, blowing temperature and blowing humidity of the hair dryer main body before and after the blowing angle changes, which are matched and recorded by the position tracking module, and determine the position information and blowing time period of the hair dryer main body before the blowing angle changes through scene recognition algorithm analysis; according to the position information and blowing time period of the hair dryer main body before the blowing angle changes, match the corresponding change range of hair temperature and hair humidity.

[0093] Then execute steps 220 to 240, that is, obtain the current user identity information, query the historical records that match the current user identity information and the hair humidity change range where the current hair humidity is located; from the matching historical records, obtain the corresponding user-selected blowing intensity mode and blowing temperature mode, and control the working mode of the motor to adapt to it.

[0094] Figure 2The method shown is to provide a basic blowing mode with humidity adaptive control for the hair dryer. By controlling the type of blowing temperature factors affected by humidity, an adaptive blowing mode with different humidities corresponding to different angles for users is selected, thereby improving the comfort of the user's blowing experience.

[0095] Optionally, before step 210, the method further includes:

[0096] The position tracking module receives the humidity blowing mode request selected by the user and enters the humidity adaptive blowing mode. The position tracking module may receive the humidity blowing mode request selected by the user through voice input.

[0097] like Figure 3 As shown, Figure 3 is a flow chart of another control method of an adaptive intelligent hair dryer provided by an embodiment of the present invention. After the position tracking module determines that the blowing angle of the hair dryer body changes, that is, after the above step 210 or 220, the method further includes the following steps:

[0098] 310. After the location tracking module queries the current user identity information, the location tracking module queries the matching record corresponding to the hair humidity variation range where the current hair humidity is located, the hair temperature variation range where the current hair temperature is located, and the user identity information according to the current user identity information and the current hair humidity and the current hair temperature corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor;

[0099] 320. The location tracking module obtains the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record;

[0100] 330. The controller controls the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user.

[0101] and Figure 2 The method shown differs in that Figure 3 The method shown is that the hair dryer is in high-precision blowing mode. By simultaneously controlling the temperature and humidity, two types of factors that affect the blowing temperature, an adaptive blowing mode with different temperatures and different humidities corresponding to different users at different angles is selected, thereby improving the user's blowing experience comfort.

[0102] Optionally, before step 310, the method further includes:

[0103] The location tracking module receives a humidity and temperature blowing mode request selected by a user and enters a humidity and temperature adaptive blowing mode.

[0104] It may be receiving a humidity and temperature blowing mode request selected by a user through voice input.

[0105] like Figure 4 As shown, Figure 4 A flow chart of another control method of an adaptive intelligent hair dryer provided by an embodiment of the present invention, wherein the method further includes:

[0106] 410. When the adaptive intelligent hair dryer is in the correction mode, the position tracking module simultaneously records the temperature value and the temperature difference of the correction temperature sensor and the target temperature sensor; and when the adaptive intelligent hair dryer is in the correction mode, the position tracking module simultaneously records the humidity value and the humidity difference of the correction humidity sensor and the target humidity sensor;

[0107] 420. When the temperature difference between the correction temperature sensor and the target temperature sensor is greater than the first temperature monitoring accuracy threshold, the correction temperature module performs statistical counting; when the statistical count value of the correction temperature module is higher than the temperature correction accuracy threshold, a temperature adaptive fault alarm prompt is issued through the alarm module.

[0108] 430. When the humidity difference between the correction humidity sensor and the target humidity sensor is greater than the first humidity monitoring accuracy threshold, the correction humidity module performs statistical counting; when the statistical count value of the correction humidity module is higher than the humidity correction accuracy threshold, a humidity adaptive fault alarm prompt is issued through the alarm module.

[0109] Figure 4 The method shown provides an experience of improving the blowing accuracy of the adaptive smart hair dryer. If the hair dryer sensor fails, the user will not be able to detect it, so a self-detection method is needed to ensure that Figure 2 and Figure 3 The accuracy of the adaptive blowing control method shown allows users to experience the adaptive blowing function with greater confidence.

[0110] Preferably, Figure 5 As shown, Figure 5 The external structure diagram of the hair dryer provided by the embodiment of the present invention. The hair dryer body 1 also includes a correction mode button 13 set on the shell. Based on the above step 410, that is, when the adaptive intelligent hair dryer is in the correction mode, the position tracking module simultaneously records the temperature value and temperature difference of the correction temperature sensor and the target temperature sensor; and when the adaptive intelligent hair dryer is in the correction mode, the position tracking module simultaneously records the humidity value and humidity difference of the correction humidity sensor and the target humidity sensor, the method further includes:

[0111] When the position tracking module receives an instruction after the correction mode button is started, the adaptive smart hair dryer is in the correction mode; or, when the adaptive smart hair dryer is in the blowing mode, it enters the correction mode at the same time.

[0112] Preferably, when the position tracking module is in the correction mode, the numerical value and the difference of the correction temperature sensor and the target temperature sensor are periodically recorded at the same time in a second period; and, when the position tracking module is in the correction mode, the numerical value and the difference of the correction humidity sensor and the target humidity sensor are periodically recorded at the same time in a third period; the second period and the third period are the same or different.

[0113] Preferably, when the position tracking module receives an instruction to end the correction mode button operation, the adaptive intelligent hair dryer turns off the correction mode; or, after the adaptive intelligent hair dryer receives a voice instruction to end the correction mode, the position tracking module ends the correction mode according to the voice instruction to end the correction mode.

[0114] Preferably, the correction humidity sensor and the target humidity sensor are an integrated detachable humidity sensing module; the correction temperature sensor and the target temperature sensor are an integrated detachable temperature sensing module;

[0115] The correction temperature module counts the number of temperature adaptation fault alarm prompts, and when the number of temperature adaptation fault alarm prompts is greater than a preset temperature adaptation fault alarm threshold, a prompt is given to replace the integrated temperature sensing detachable module;

[0116] Furthermore, the correction humidity module counts the number of humidity self-adaptation fault alarm prompts, and when the number of humidity self-adaptation fault alarm prompts is greater than a preset humidity self-adaptation fault alarm threshold, it prompts to replace the integrated humidity sensor detachable module.

[0117] In this embodiment, if the temperature difference between the corrected temperature sensor and the target temperature sensor is greater than the first temperature monitoring accuracy threshold, or the humidity difference between the corrected humidity sensor and the target humidity sensor is greater than the first humidity monitoring accuracy threshold, an adaptive fault alarm prompt is performed through the alarm module, and the number of alarms is recorded;

[0118] According to the number of alarms and the preset fault alarm threshold, determine whether the integrated temperature sensing detachable module or the integrated humidity sensing detachable module needs to be replaced to ensure the sensor detection accuracy and maintain the stability and accuracy of the multi-mode switching function.

[0119] Preferably, Figure 5As shown, the user identity information acquisition module includes a voice acquisition module 15 arranged in the housing, and the voice acquisition module 15 is used to acquire identity information input by the user's voice as the user identity information.

[0120] Preferably, Figure 5 As shown, the user identity information acquisition module includes a fingerprint recognition module 14 arranged on the outer shell of the hair dryer body, and the fingerprint recognition module 14 is used to collect the user's fingerprint identity information as the user identity information.

[0121] The fingerprint recognition module 14 includes a fingerprint collector, and the fingerprint collector is arranged on the outer surface of the hair dryer body.

[0122] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the control method of the smart hair dryer provided in the embodiment of the present invention are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0123] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The computer-readable storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0124] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A control method for an adaptive intelligent hair dryer, characterized in that: The control method is performed by an adaptive smart hair dryer, the adaptive smart hair dryer includes a user identity information collection module, the user identity information collection module is used to collect user identity information, and the adaptive smart hair dryer also includes a hair dryer body; The hair dryer body includes a power module, a blowing module connected to the power module, and a control circuit board, wherein the control circuit board is provided with a controller for controlling the operation of the blowing module, a position tracking module connected to the controller, and a gyroscope connected to the position tracking module, wherein the position tracking module includes a time recording module; the control circuit board is also provided with a target temperature sensor and a target humidity sensor connected to the position tracking module, wherein the target temperature sensor is used to detect the hair temperature corresponding to the blowing angle of the hair dryer body, and the target humidity sensor is used to detect the hair humidity corresponding to the blowing angle of the hair dryer body; The gyroscope is used to periodically send the position information of the blowing angle of the hair dryer body to the position tracking module, and the position tracking module is also used to periodically match and record the position information of the blowing angle of the hair dryer body, time information, hair temperature, hair humidity and user identity information in a first period; The method comprises the following steps: The position tracking module determines the change of the blowing angle of the hair dryer main body, then queries the matching recorded position information of the hair dryer main body before and after the blowing angle changes, matches and records the position information of the hair dryer main body before the blowing angle changes, the blowing time period, the hair temperature change range, the hair humidity change range, the blowing intensity mode selected by the user, the blowing temperature mode selected by the user and the user identity information, and stores them as matching record data; the blowing time period is the difference between the earliest recorded time and the latest recorded time before the blowing angle of the hair dryer main body changes, the blowing temperature change range is the difference between the highest hair temperature and the lowest hair temperature before the blowing angle of the hair dryer main body changes; the blowing humidity change range is the difference between the maximum hair humidity and the minimum hair humidity before the blowing angle of the hair dryer main body changes; The location tracking module queries the current user identity information; The location tracking module searches for a matching record corresponding to the hair humidity variation range where the current hair humidity is located and the user identity information according to the current user identity information and the current hair humidity corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor, and obtains the blowing intensity mode selected by the user and the blowing temperature mode selected by the user in the corresponding matching record; The controller controls the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record.

2. The control method according to claim 1, characterized in that: After the position tracking module determines that the blowing angle of the hair dryer body changes, the method further includes: The location tracking module queries the current user identity information; The location tracking module searches for a matching record corresponding to the hair humidity variation range where the current hair humidity is located, and a matching record corresponding to the hair temperature variation range where the current hair temperature is located, and the user identity information according to the current user identity information and the current hair humidity and the current hair temperature corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor; The location tracking module obtains the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record; The controller controls the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user.

3. The control method according to claim 1, characterized in that: The control circuit board is also provided with a correction temperature sensor and a correction humidity sensor connected to the position tracking module, the correction temperature sensor is used to detect the correction temperature corresponding to the blowing angle of the hair dryer main body, and the correction humidity sensor is used to detect the correction humidity corresponding to the blowing angle of the hair dryer main body; the sensitivity and accuracy of the correction temperature sensor are greater than the sensitivity and accuracy of the target temperature sensor, and the sensitivity and accuracy of the correction humidity sensor are greater than the sensitivity and accuracy of the target humidity sensor; the control circuit board is also provided with a correction temperature module and a correction humidity module connected to the position tracking module, the correction temperature module is used to detect and correct the temperature detection accuracy of the target temperature sensor, and the correction humidity module is used to detect and correct the humidity detection accuracy of the target humidity sensor; The method further comprises: The position tracking module simultaneously records the temperature values ​​and the temperature difference of the correction temperature sensor and the target temperature sensor when the adaptive intelligent hair dryer is in the correction mode; and the position tracking module simultaneously records the humidity values ​​and the humidity difference of the correction humidity sensor and the target humidity sensor when the adaptive intelligent hair dryer is in the correction mode; When the temperature difference between the correction temperature sensor and the target temperature sensor is greater than the first temperature monitoring accuracy threshold, the correction temperature module performs statistical counting; when the statistical count value of the correction temperature module is higher than the temperature correction accuracy threshold, the alarm module performs a temperature adaptive fault alarm prompt; and, When the humidity difference between the correction humidity sensor and the target humidity sensor is greater than the first humidity monitoring accuracy threshold, the correction humidity module performs statistical counting; when the statistical count value of the correction humidity module is higher than the humidity correction accuracy threshold, a humidity adaptive fault alarm prompt is issued through the alarm module.

4. The control method according to claim 3, characterized in that: The position tracking module simultaneously records the temperature values ​​and the temperature difference of the correction temperature sensor and the target temperature sensor when the adaptive intelligent hair dryer is in the correction mode; and before the position tracking module simultaneously records the humidity values ​​and the humidity difference of the correction humidity sensor and the target humidity sensor when the adaptive intelligent hair dryer is in the correction mode, it also includes: When the position tracking module receives an instruction after the correction mode button is started, the adaptive smart hair dryer is in the correction mode; or, when the adaptive smart hair dryer is in the blowing mode, it enters the correction mode at the same time.

5. The control method according to claim 4, characterized in that: When the position tracking module is in the correction mode, the numerical value and the difference between the correction temperature sensor and the target temperature sensor are periodically recorded at the same time in a second period; and, when the position tracking module is in the correction mode, the numerical value and the difference between the correction humidity sensor and the target humidity sensor are periodically recorded at the same time in a third period; the second period and the third period are the same or different.

6. The control method according to claim 4, characterized in that: When the position tracking module receives an instruction to end the correction mode button operation, the adaptive smart hair dryer turns off the correction mode; or, after the adaptive smart hair dryer receives a voice instruction to end the correction mode, the position tracking module ends the correction mode according to the voice instruction to end the correction mode.

7. The control method according to claim 4, characterized in that: The correction humidity sensor and the target humidity sensor are an integrated humidity sensing detachable module; the correction temperature sensor and the target temperature sensor are an integrated temperature sensing detachable module; The correction temperature module counts the number of temperature adaptation fault alarm prompts, and when the number of temperature adaptation fault alarm prompts is greater than a preset temperature adaptation fault alarm threshold, a prompt is given to replace the integrated temperature sensing detachable module; Furthermore, the correction humidity module counts the number of humidity self-adaptation fault alarm prompts, and when the number of humidity self-adaptation fault alarm prompts is greater than a preset humidity self-adaptation fault alarm threshold, it prompts to replace the integrated humidity sensor detachable module.

8. The control method according to claim 1, characterized in that: The user identity information collection module includes a voice collection module, and the voice collection module is used to collect identity information input by the user's voice as the user identity information.

9. The control method according to claim 1, characterized in that: The user identity information collection module includes a fingerprint recognition module, and the fingerprint recognition module is used to collect user fingerprint identity information as the user identity information; The fingerprint recognition module includes a fingerprint collector, and the fingerprint collector is arranged on the outer surface of the hair dryer body.

10. An adaptive intelligent hair dryer, characterized in that: The adaptive intelligent hair dryer comprises a hair dryer main body, the hair dryer main body comprises a power module and a blowing module connected to the power module, and a control circuit board, the control circuit board is provided with a controller for controlling the operation of the blowing module, a position tracking module connected to the controller, and a gyroscope connected to the position tracking module, the position tracking module comprises a time recording module; the control circuit board is also provided with a target temperature sensor and a target humidity sensor connected to the position tracking module, the target temperature sensor is used to detect the hair temperature corresponding to the blowing angle of the hair dryer main body, and the target humidity sensor is used to detect the hair humidity corresponding to the blowing angle of the hair dryer main body; The gyroscope is used to periodically send the position information of the blowing angle of the hair dryer body to the position tracking module, and the position tracking module is also used to periodically match and record the position information of the blowing angle of the hair dryer body, time information, hair temperature, hair humidity and user identity information in a first period; The position tracking module is used to determine the change of the blowing angle of the hair dryer main body, and then query the matching recorded position information of the hair dryer main body before and after the blowing angle changes, match and record the position information of the hair dryer main body before the blowing angle changes, the blowing time period, the hair temperature change range, the hair humidity change range, the blowing intensity mode selected by the user, the blowing temperature mode selected by the user and the user identity information, and store them as matching record data; the blowing time period is the difference between the earliest recorded time and the latest recorded time before the blowing angle of the hair dryer main body changes, the blowing temperature change range is the difference between the highest hair temperature and the lowest hair temperature before the blowing angle of the hair dryer main body changes; the blowing humidity change range is the difference between the maximum hair humidity and the minimum hair humidity before the blowing angle of the hair dryer main body changes; query the current user identity information; The location tracking module is further used to query the hair humidity variation range corresponding to the current hair humidity and the matching record corresponding to the user identity information according to the current user identity information and the current hair humidity corresponding to the blowing angle of the hair dryer body detected by the current target humidity sensor, and obtain the blowing intensity mode selected by the user and the blowing temperature mode selected by the user in the corresponding matching record; The controller is further used to control the working mode of the blowing module so that the blowing module works according to the blowing intensity mode and the blowing temperature mode selected by the user in the corresponding matching record.

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